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Download the complete physics project topic and material (chapter 1-5) titled Design, Implementation and Simulation of Prepaid Meter, Theft Monitoring System with SMS Alert here on See below for the abstract, table of contents, list of figures, list of tables, list of appendices, list of abbreviations and chapter one. Click the DOWNLOAD NOW button to get the complete project work instantly.


PROJECT TOPIC AND MATERIAL ON Design, Implementation and Simulation of Prepaid Meter, Theft Monitoring System with SMS Alert

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  • Name: Design, Implementation and Simulation of Prepaid Meter, Theft Monitoring System with SMS Alert
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A prepaid meter monitoring system with SMS alert is designed simulated and constructed using microcontroller to achieve a unique transmission of SMS messages to designated mobile phone numbers.  The work is a response to the  need to checkmate commercial energy losses in utility electrical distribution system. The system utilizes a normally open micro-switch incorporated into the monitoring system to detect when the prepaid meter cover is opened. The system triggers a series of actions which eventually lead to the sending of an SMS alert message to the GSM mobile phones at the commercial unit of the utility Electricity Distribution Company which contains the meter number and address where the tamper/theft originates. The system also triggers an alarm system to alert the individual within the vicinity that an intruder has tampered with the meter in order to commit fraud/energy theft. The system utilizes the existing GSM networks and protocols through the modem interface. When the messages are sent to the designated mobile phones the messages are also retained at the memory card interfaced to the modem which can be retrieved when the need arises. This work discusses in detail the steps taken in the process of realizing the set goals including the design, simulation, implementation testing and results. The construction was implemented with reliable and readily available components in the market. The results showed that the power of the system is 6 watts. The alternating current input voltage is 220V (AC) at 50/60 Hz. The output current of voltage regulator is 500 mA. The system was validated using bar chart for comparison of its functionality with the existing ones in terms of transmission of SMS messages, recording and tracking of information in real-time and the operation was very excellent which is a remarkable improvement over the existing prepaid meter monitoring system.


Title page                                                                                                     i

Declaration                                                                                                   ii

Certification                                                                                                   iii

Acknowledgement                                                                                          iv

Dedication                                                                                                    v

Table of contents                                                                                          vi

List of table                                                                                                   x

List of figures                                                                                                          xi

Symbols and abbreviations                                                                              xiii

Abstract                                                                                                       xvi



1.1     Background of the Study                                                                       1

1.2     Electricity Theft Mechanisms                                                                  4

1.3     Causes of Electricity Theft

1.4     Existing Ways of Tackling Electricity Theft                                               7

1.5     Electricity Theft Identification In Distribution System                               9

1.6     Aims and Objectives                                                                            15

1.7     Justification of the Study                                                                       15

1.8     Scope of the Study                                                                               15

1.9     Limitations of the Study                                                                        16


Literature Review

2.1 Related Works On Power Theft Identification                                              17



3.1     Simulation                                                                                           23

3.2     Construction                                                                                        25

3.3     The Design Circuits                                                                               25

3.4     Power Supply Unit                                                                                26

3.5     Battery Charging Unit                                                                          33

3.6.    The Normally Open Micro-Switch                                                            36

3.6.1  Detection System                                                                                36

3.7     Transistor Driver                                                                                  39

3.8     Transfer Function of the Output Filter                                                     42

3.9     Microcontroller                                                                                    43

3.9.1  Pin Description of the AT89C52 Microcontroller                                      45

3.9.2  The Ports Description of AT89C52                                                                    46

3.9.3  Instruction Set of the AT89C52 Microcontroller                                        48

3.9.4  Software Algorithm                                                                               49

3.9.5  Serial Communication in Microcontroller                                                  49

3.10   The Wireless Communication System                                                       50

3.10.1 Short Message Service (SMS) Principle                                                    51

3.10.2 The Working Principles of SMS                                                               52

  • Short Message Service Center  (SMSC)                                           54
  • Gateway Mobile Switching Center (GMSC) 54

3.10.5 SMS Network Cellular Components                                                         55

3.10.6 SMS Subscriber Services                                                                       57

3.11             GSM Modem Type                                                                       57

3.11.1 Communication with GSM Modem                                                          57

3.11.2 GSM USB Cable                                                                                     58



4.1     System Circuit Diagram                                                                         60

4.2     The Functions of the Components in the System Circuit

Diagram                                                                                              62

4.3     Results and Discussions                                                                         66

4.4     The simulation Tests  carried out                                                             67

4..4.1 No Theft Condition                                                                               67

4.4.2  Theft Condition                                                                                   77

4.4.3   The Transistor Switching Time under Theft and on no Theft Conditions      89

4.4.4  The Transfer Function Magnitude and Phase Plot                                      91

4.5     Hardware Implementation                                                                     94

4.6     Completed Packaging of the Prepaid Meter Monitoring System                  95

4.7 GSM Mobile Phone at Customer Unit of Utility Electricity Distribution Center 96

4.8     Validation the Results                                                                             97


Summary, Conclusion and Recommendation

5.1     Summary                                                                                             102

5.2     Conclusion                                                                                           103

5.3     Recommendation                                                                                 104

References                                                                                           106

Appendixes                                                                                          113



Table 3.1: Table showing the Instruction set of the AT89C52 Microcontroller                                                              48

Table 4.1:   Inputs and Outputs of Operational Amplifier when the Output is Low on no Theft Condition               71

Table 4.2:    The Output Voltage and Current of Voltage Regulator on no Theft condition                                  73

Table 4.3:     The output voltage against input voltage on no theft condition      75

Table 4.4: Buzzer Voltage against Frequency                                                     79

Table 4.5 Inputs and Outputs of Operational Amplifier at when the Output is High under Theft Condition                                                                                      81

Table 4.6:     Output current under Theft Condition                                          83

Table 4.7:  The Output Voltage of the Prepaid Meter against Input Voltage of Utility Supply under Theft Conditions                               85

Table 4.8: Input Voltage Variation against Frequency                                        87

Table 4.9: The Transistor ON and OFF Switching WaveForm Table       89

Table 4.10: The Transfer Function Magnitude against Frequency                         91

Table 4.11: The Transfer Function Phase Angle against Frequency                      92

Table 4.12: The Reviewed System Efficiency                                                     99

Table 4.13: Specification table of Power, Voltage, Current and Frequency Utilized   101



Figure 3.1:    The system block Diagram                                                            26

Figure 3.2:    Block diagram of the power supply unit                                         27

Figure 3.3:    The bridge rectifier                                                                      28

Figure 3.4:    The AC input voltage, the DC output voltage and the

filtered DC output waveforms of the power supply                          29

Figure 3.5:       Circuit Diagram of the power supply unit                                    32

Figure 3.6:      Battery charging circuit diagram                                                35

Figure 3.7:      The Circuit Diagram of the Detection system                               38

Figure 3.8:       Circuit diagram for the transistor driver                                      40

Figure 3.9:       AT89C52 Microcontroller pin configuration                                 44

Figure 3.10      SMS Cellular Network                                                                56

Figure 4.1:       Circuit Diagram                                                                        61

Figure 4.2:       The simulation result when there was no theft                             69

Figure 4.3:       The simulation result when there was theft                                 72

Figure 4.4:       Plot of  Buzzer Voltage against Frequency                                   74

Figure 4.5: Plot of the output voltage against input voltage on no theft conditions                                                          76

Figure 4.6: The simulation result when there was theft                                      78

Figure 4.7: Plot of Buzzer Voltage against Frequency under theft condition          80

Figure 4.8: Ouput voltage against inverting and non-inverting inputs at high output voltage level under theft condition                                           82

Figure 4.9: Plot of the output current under theft condition                                84

Figure 4.10: Plot of the output voltage against input voltage under theft conditions                                                           86

Figure 4.11: Plot of the Output Voltage against frequency under theft condition                88

Figure 4.12: The waveform of the switching transistor OFF or ON mode under theft or no theft condition                                                                         90

Figure 4.13: Transfer function magnitude plot against frequency         92

Figure 4.14: Transfer function phase angle plot against frequency       93

Figure 4.15: Photo of the components soldered on the vero board.                    94

Figure 4.16: The photo showing the complete packaging of the prepaid meter theft monitoring system                                                                95

Figure 4.17: SMS alert reading received with mobile phone at consumer unit at Utility Electricity Distribution Company                                                           96


Figure 4.18: The validation of the work using bar chart representation of various Author’s reviewed                                                                           100



A                           Ampere

AC                         Alternating current

F                            Frequency

IC                          Integrated circuit

DC                         Direct current

SMS:                      Short Message Service

GSM:                     Global System for Mobile

SVM:                     Support Vector Machine

FIS:                       Fuzzy Interference System

AMI:                      Association Montessori International

AT:                        Attention

PLC:                      Power Line Carrier

CPS:                      Cellular Phone System

NTL:                      Non Technical Loss

LHD:                      Left Hand Drive

LDR:                      Light Dependent Resistor

IDE:                      Integrated Development Environment

HEX:                      Hexadecimal

PROM:                   Programmable Read-only Memory

ANSI COMA:           American National Standards Institute /Code Division Multiple Access

AMPS:                    Amperes

MSC:            Mobile Switch Center

PSTN:                    Public Service Telephone Network

HLR:                      Home Location Register

VLR:                      Visitor Location Register

SMSC:                    Short Message Service Center

TCP/IP:                  Transmission Control Protocol/Internet Protocol

GMSC:                   Gateway Mobile Switching Center

EDC:                      Electrical Distribution Company

KSC:                      Kiloohmos

LED:                      Light Emitting Diode

BJT:                       Bipolar Junction Transistor

TTL:                      Transistor Transistor Logic

ROM:                     Read Only Memory

RAM:                      Random Access Memory

EA:                        External Access

VCC:                      Voltage at Common Collector

PSEN:                    Program Store Enable

ALE:                      Address Latch Enable

RxD:                      Reflex Datafile

TxD                       Transmit Data

RD:                       Recurring Deposit

USB:                      Universal Serial Bus

CMGF:                   Command Message Format

Ctrl+z                    Control z

LM:                        Length Measurements

Bps:                       Bit Per Second

SCON:                   Serial Control

SBUF                      Register: Serial Data Buffer



1.1 Background of the Study

(Sule, 2010), described Power System as a network that provides regions, Industries and homes with electrical energy. He also stated that electricity generation, transmission and distribution are three stages of delivering electricity to consumers. This power system is known as the grid and can be broadly divided into the generators that supply the power, the transmission system that carries the power from the generating centers to the load centers and the distribution system that feeds the power to nearby homes and industries. The distribution system is a part of power systems which is dedicated to delivering electrical energy to the end user. The planning and the design of electrical supply system are everyday task for engineers in the electric utilities companies. The goal of power distribution planning is to satisfy the growing and changing load demand within operational constraints and with minimal costs Sharma, et al., (2008). It is necessary for Power Distribution Company to update their customer’s information that corresponds to their electrical attributes. The database contains useful information that shows linkages with the distribution transformers, feeder and substation. It is also important to design a system that monitor the accuracy of consumption at the customer end. The design of smart system improves system reliability, hence encourages investments to the industry.

Electrical distribution improvement has many approaches ranging from feeder optimization, phase balancing and costing model for distribution planning. All these are ideas and efforts by many scholars in the field of electronics to improve distribution. In Nigeria, the power distribution has constituted seventy percent of electrical utility problem Titus, et al., (2013). Due to inadequacies in planning and use of wrong solution for an identified problem, it is obvious to note that the major problem of electricity utility comes from distribution of bulk power that have been transmitted over a long distance and the reason for this is that distribution demands are not known and well managed. Against the back drop that consumers of electricity are not identified based on their location, it is impossible to estimate the accurate demand of electricity for customers in such area. Another major problem is identified as commercial losses that reduces revenue, hence discourages investment into the system, Damian et al., (2015). The use of estimated load has also reduced the system reliability. This is a problem that cannot be solved overnight.  However, with the right approach, solution is certain. The SMS (short message service) alert can provide the solution in the management of utility by way of detecting commercial loss which is a function of electrical theft.

(Kaira, 2014) proposed two methods in conjunction with the existing methods; the two methods are:

  1. identified differential scheme and
  2. Integration scheme.

Identified Differential scheme is achieved by attachment of sensors to heavy appliance such as fridges air conditioner and other heavy equipment, other loads were attached to one sensor. In the case where the total energy measured from individual sensor is sum and is not equal to that of the meter, theft is detected, otherwise no theft.

In integrated scheme of sort X-bee is embedded into the meter that communicates with the module present at sensing the total power given out of it. In the case of electrical theft, consumer homes were individually switched off remotely to detect consumer involved in the theft.

The limitation of the two methods proposed by Kalra (2014) is that privacy of the consumer is abused by installation of multiple sensors in the differential scheme. The method is costly to manage because at every intervals of time check is carried out to detect theft. The right of the customer to access energy is infringed, in the integrated scheme consumers that are not involved in electricity theft are cut off from supply for a period of time to detect the premises where the theft occur, this is also infringing on right of some customers who are not involve in the unwholesome behaviour.

Non-Technical Loss (NTL) occurs as a result of electricity theft (Dey, et al., 2010). He further highlighted types of electrical theft as: Fraudulent activities of customer, Stealing electricity, Irregular bill payment and unpaid bill. Meter tampering is classified into analogue and digital. Dey, et al., (2010) described Analogue tampering as Shortage of phase current coil which caused the current to pass through the shorter path which results to meter’s unable to detect current passing through it. Current flow reversal by swapping of load and supply terminal, hence meter would be unable to detect quantity of electricity through it. Neutral disconnection hence meter unable to detect energy through it because of no potential difference.

Magnet is used to slow down rotation of the disc in analogue meter, hence reduction in sensitivity of the meter to record energy value. Tampering in digital motor is noticed when neutral is removed. Installation of’ current transformers at both phase and neutral line to measure currents and teed hack to micro controller to determine difference in current is proposed Dey, et al., (2010).

In analogue meters, painting of rotating disc divided into four equal proportions in black and white, with LHD and LDR attached to the disc and powered is proposed. Rotation of the disc indicates no theft as the voltage to the micro controller varies otherwise theft is detected Dey, et al; (2010).

1.2     Electricity Theft Mechanisms

Electricity thefts may occur in different forms. From available literature and practical daily reports in Nigeria, Sayema, et al; (2014), the common ways include bypassing (illegal tapping of electricity from the feeder), meter tampering (by grounding the neutral wire as it does not measure readings) and physical methods to evade payment of bills.  The basic method of stealing electricity is a direct wire-connection to a main power route passing a shop or a house so that electricity can flow to the consumer without crossing the electric meter installed by a government agency which is responsible for providing electrical services to customer. There are different types of theft done all over the world. Huge amount of power theft are done by tapping from line or bypassing the meter.

According to a study, 80% of the total theft detected all over the world is from residential buildings and 20% from commercial and industrial premises, Suriyamongkol, (2014).

  1. Meter Tampering : Customers tamper the meter by grounding the neutral wire. A tampering unit used for stop of this energy theft it sent the alert to energy Provider Company when tampering occurs. If any person tries to tamper with energy meter the tampering unit will be activated and as SMS alert send central server of energy provider company.
  2. Meter bypass: The input terminal and output terminal of the energy meter have been shorted by a wire. This act prevents energy from been registered in the meter.
  3. Illegal terminal taps of overhead lines on the low tension side of the transformer : Primarily, electricity theft affects the power sector as a whole, tapping of the low tension side of the transformer result in overloading which causes tripping and can lead to blackout.
  4. Illegal tapping to bare wires or underground cables : This is the most used method for theft of power as 80% of total power theft all over the world is done by direct tapping from line. The consumer taps into a direct power line from a point ahead of the energy. This energy source is unmeasured in its consumption and procured with or without switches.
  5. Unpaid bills : Non-payment of bills by Individuals, Government Institutions and Untouchable personalities Individuals results in utility running at a loss and a must continually increase in electricity charges.
  6. Billing irregularities: This  incorporates  the  inaccurate  meter  reading  taken  by  bribed  servicemen  and intentional fixing of the bill by office staffs in exchange of illicit payments from the consumers.


1.3     Causes of Electricity Theft

All energy distribution companies operate with some accepted degree of losses. This is no different from the scenario in Nigeria. The losses incurred are subdivided into two namely: Technical losses and Non- technical losses.

  1. Technical losses : These are naturally occurring losses and consist mainly of power dissipation in electrical system components such as transmission lines, power transformers, measurement systems, among others. They are caused by the physical properties of the components of power systems, Sayema, et al., (2014).        
  2. Non-technical losses : These refer to those losses that are independent of technical losses in the power system. The most prominent forms of non-technical losses in Nigeria are electricity theft and non-payment of bills. It can also be viewed as undetected load Anyasi, et al., (2012). Theft is a serious crime, it creates short fall, increase of load, decrease of frequency which is not acceptable, causing load shedding and increase of tariff on the legal consumers Khan, et al., (2012). Some may argue that the distribution companies providing services give over-voltage, poor service and make excess money thus. Some theft will not affect its operations and profitability. Nigeria’s power system is an illustration of a worst-case situation prior to its privatization in 2013. The distribution companies have not upgraded their systems to meet the technological trends in advanced countries. In certain cities, however, the post-paid energy meters are gradually being replaced with the prepaid meters, the issue of constant electricity continually plague the country as this has not been achieved prior to its privatization in the last ten months.

Some localized catalyzing factors influencing electricity theft in Nigeria include lack of accountability in electricity market system, political protection of employees involved in corruption, influential customers who do not pay their bills, absence of effective laws to abate electricity related crimes and  inadequate and ineffective enforcement of existing weak laws and generally negative attitude of electricity customers.   Electricity pilferage has its root in corruption and bad governance. Customers attitude contribute a great deal to revenue losses. These attitudes range from their ill-conceived feelings that electricity should be a welfare commodity and therefore legitimate to steal from the state, to the generalization that the state is not incurring losses. They do not have the fore-knowledge that the money realized from the payment of bills are re-instated into the power sector for its improvement and development.

1.4     Existing Ways of Tackling Electricity Theft

The first step in electricity theft reduction is to become knowledgeable about the theft problem. Unless the nature and extent of power theft are known in great details, any attempts to deal effectively with the problem are prone to fragmented and limited action that has little over-all success, Smith, (2004). Corruption is one of the difficult problem areas for electricity organizations because power theft occurs with the connivance of employees of the power sector. Employees should hence, be paid adequately so that the issue of bribe collection will not be their last resort. Power companies are combating theft through the use of smart meters and sophisticated software that continuously records consumption and send the data back to them. One advantage of using the smart meter is that it eliminates contact between the consumers and the power provider’s employees thus preventing the issue of bribery, Depury, et al., (2010).

The already existing methods which may be utilized in tackling electricity theft in some countries where practiced include proper enforcement of electricity regulatory laws, periodic and impromptu checks of consumer homes, electronic tampering detection meter and use of prepaid meter. The limitations of using the smart meters are that, consumers feel it discloses privacy of their homes which are not ethically true and that it interferes with radio frequency and create problems in radio transmission profile, Wang, et al., (2013). Periodic checks are not 100% efficient due to its laborious and sluggish nature.  Adopting  this  kind  of  method  in  electricity  theft reduction  will  delay  accurate  and  effective reading of the meters in remote areas that are non-accessible. Moreover, as result of the ever-increasing rate of corruption (such as greed and bribes) in the Nigeria, the proper enforcement of laws would take a drastically longer time than stipulated. In the past, committees that were set- up see it as an avenue to amass wealth rather than strictly punish defaulters, thus all these reasons have hindered the growth of our power sector.


1.5     Electricity Theft Identification in Distribution System

Electricity theft takes place in various forms and works with the help and support of different parties which include the utility staff and political leaders based on enacted laws and consumers. The major challenges of utility company are that the money invested into production of electricity for distribution is not recovered as a result of electrical theft.Kalaivani, (2014). As a result, the masses have to pay extra fees in terms of tariff toutility company to compensate for these losses, (Kalaivani, 2014).

According to Kalaivani (2014), electricity consumers steal energy in the following way: Unhooking technology, One fire one ground technology, Reverse the in and the out, Cross meter to connect wire, Exchange fire with zero. (Kalaivani, 2014) proposed a method to monitor electricity theft based on information from a distribution transformer and various output of meter readings from the various consumer’s premises. In their method, the energy giving out from a transformer is measured while various reading in the consumer’s premises is summed up with a comparator. The outputs of the reading from different consumer’s premises are feed into a differentiator with output from the transformer. This various outputs are subtracted; a difference indicates that there is power theft. The limitation of this is that, they only measure power theft at the transformer, and cannot point precisely the consumer premises that these theft occurred, an intelligent system is required to solve the problem.

(Sagar et al., 2013) used the method of installing communication meter at both customer’s premises and the electric pole connecting the customer’s premises. The two meter sent out information of consumption, which is compared to check the difference. The difference in the two   measurements   indicates   power   theft. The disadvantage of method is that, the proposed method is post-paid metering which does not support fast revenue collection. In addition, the method involves data collection and analysis, hence involves more cost of managing electricity.

According to Syed, et al., (2012), they proposed that the power distribution and theft control by identifying patterns of distribution demand, consumption, loses and supply power to areas in need of power at a particular time based on the available database of consumer demand, consumption and losses. In view of Syed et al., (2012) they identified four kinds of power theft thus: Kunda, Meter reversing, Hinder hard dealing and Power mafia.

In kunda method of power theft, the utility poles are very close enough to building that wire can be easily suspended on them in the form of hook, while in meter reversing electrical technician can carry out this kind of theft with the consumer and reversing the electrical meter to give lower reading. Under hand dealing is a method of power theft where the utility staffs connects consumer’s to power line illegally because they have been paid some stipend. Power mafias are groups of highly organized power thefts, they controls some areas and detects what happens in those areas Syed, et al., (2012).

Power theft can be combated by mapping area of power demand, load shading technique will be used use to cut off area that are prone to power theft and increase power supply to area less prone to theft Syed et al.,(2012). One major disadvantage of this technique is that it does not provide solution to power theft at each individual premises rather it only provide a mapping of the area to show distribution planning.

Toward power to all: A case study of misuse of power in Lucknow India, misuse of power was studied by Triparthi, (2011). It was observed that consumers do not turn OFF their lights during the day time because there is no special billing plan. The billing plans are the same for all time of the day. They proposed that electricity billing plan should not be the same for all time of the day so that consumers will be forced to turn off their light during periods that light are not necessary, Triparthi, (2011).

According to Mohammed, (2012), GSM base based smart meter distribution system identifies common methods used by consumers for electrical theft. The methods are as follows:

  1. The use of mechanical objects: in this type of method consumers makes use of mechanical objects to stop disk revolution of the analogue energy meter in order to alter the speed of the revolution and hence incorrect reading.
  2. Use of fixed magnet was also identified as a means: consumers use to disturb the electromagnetic field of current coil, for the purpose of affecting the energy records of the meter.
  3. Direct by pass of meter and hence create no electric consumption record at all.
  4. Switching of energy cable of the meter connection box and this does not allow current passage through the coil; hence there is no energy record of the meter.
  5. Illegal connection to the distribution lines, in which consumers tap directly to the power lines.

Installing of GSM smart miners al both consumer’s premises and transformer supplying to the consumer linked to database installation at central station was proposed by Mohammed, (2012). The energy consumption at every premises connected to the transformer are sent to the data base and summed up. The total consumption of the houses is compared with transformers load at interval, in case of difference, electrical theft has occurred in a particular interval and vicinity. Accordingly the three phases and neutral current were also compared. Limitation of this method is that they considered energy theft in a particular area and riot in particular premises, using information from various consumer premises and the transformer, hence needed to be improve upon.

Electricity losses occur as a result of electrical theft due to meter tampering, meter malfunctioning, illegal connections and billing irregularities, Thong, et al., (2010). Support Vector Machine (SVM) and fuzzy Interference System (FlS) are proposed for detection of nontechnical loses. Meter event log by Remote Meter Reading arid Installation inspection were used for loss detection. Limitation of this method is that theft is not detected instantly and data analysis takes a long time before theft can be detected. Another limitation is that too much data is involved and this may bring confusion hence wrong detection.

According to Kalra, (2014), the following ways are used by consumer to steal electricity. Direct hooking from line, this constitutes 80 percent of the total power theft. It was farther stated that consumers tap directly from the point ahead of the energy meter. Other methods include input, and output terminals that have been shorted by while in order to disallow energy meter to registered consumption.

(Kalra, 2014), also noted that injection of foreign material causes the meter to misbehave against the utility company’s condition  and operate  to advantage of the  customer involve in the theft .It was added that hole drilled in electromechanical meter obstructs free movement of the rotating disc by insertion of foreign material inside the meter.  According to Kalra (2014) the following methods were in use and could not totally eliminate theft detection.

Vector base data classification method which involves data acquisition, processing, feature extraction, classification training and parameter optimization, classification, data post processing, and suspected customer list generation. In his idea, a data set of customer consumption pattern is developed on historical data and applied on Support Vector Machine (SVM). SVM are trained to present all possible form of data. Specification base intrusion detection technique, in this technique, use of monitoring state to improve the detection rate over a wireless sense network, mutual inspection and AMI.

Game theory base detection investigate incentive problem of electricity distribution where customer energy usage is imperfectly observable by the distributor. The researcher also noted that as a result of privacy protection of each customer and this makes it difficult for distributors to observe correctly the precise quantity of energy used.

Current electrical distribution system in Nigeria requires intensive approach in order to deliver quality energy to the customer. Energy losses are the major factors hindering the delivering of electrical energy. The losses are categorized as technical and commercial losses. High technical distribution losses in the system are primarily due to inadequate investments over the years for system improvement works, which has elements like transformers and conductors, and lack of adequate reactive power support, Thakur, (2004). The commercial losses are mainly due to metering efficiency, power theft, pilferages under billing and sharp practices of distribution staffs.

With the advancement of technology particularly in the field of computer as well as microcontrollers, all the activities in our day to day living have become a part of information and we find computers and microcontrollers at each and every application.

Nowadays, the energy consumption and energy distribution have become a big subject for discussion because of huge energy theft. Theft in this case refers to a deliberate attempt to steal considerable amount of energy by ensuring no/low energy recording in the measuring device. Hence, there is the need to think in this line and a solution has to be proffered. Thus this project work is taken up to serve the purpose of energy monitoring so that energy theft can easily be detected and huge penalties can be imposed on these thieves. By detecting energy theft cases, people or electricity consumers will become aware and energy theft can be prevented or seriously reduced to the improvement of the nation’s economy.

This project is categorized into two sections namely:

  1. An energy theft detection unit (transmitter section) which is located at the consumer’s place.
  2. A centralized detection and display unit using GSM phone (receiver section) located and monitored continuously at the centralized energy monitoring section (that is at PHCN office within the locality).

1.6     Aim and Objectives

The aim is to develop a system used to monitor and detect incidences of power theft in the form of connecting load directly to the power line, bypassing the energy meter, paying less than what is consumed and by changing connection of the lines.

The specific objectives are as follows:

  1. To detect the theft of electrical energy
  2. To prevent the illegal usage of electrical power
  3. To reduce the pilferage of energy to a considerable extent.
  4. To provide a vivid understanding of the microcontroller as well as it’s interfacing to other components.

1.7     Justification for the Study

Due to the prevalence of meter tampering and energy theft cases, the need to reason in this line and come up with solutions arose. Presently, in the country, there are no measures in place to curtail this problem. Hence the microcontroller based power theft identifier was invented. This system, once implemented will drastically reduce if not totally eliminate the problem of energy theft in the country.


1.8     Scope of the Study

The project is limited to two representations: models of electrical energy meters utilizing a normally open micro-switch as a detecting device placed inside the meters and using GSM modem to establish a link between the consumer residence and the Electricity power monitoring station and the AT89C52 microcontroller as the control device. The basic instruction set used by the AT89C52 microcontroller which enables it to perform its basic function is achieved by writing a working program using Assembly language, and this enables the microcontroller to provide a vital link with other components of the project to be able to control their activities within the system.


1.9     Limitations of the Study

The research is limited to erratic power supply prevalent in the country. As the system requires electricity to function, the absence of power supply will hinder its operation.


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