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Research and Application on the Guarding against Power Theft System

Author: CaoZuo
Tutor: YangJingFei
School: Shanghai Jiaotong University
Course: Electrical Engineering
Keywords: Power theft Artificial neural network Evaluation system of guarding against power theft
CLC: TM73
Type: Master's thesis
Year: 2011
Downloads: 112
Quote: 0
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Abstract


The power corporations as one of the basic industries have developed very much in application of computer, communication and Internet technology. But the level of the power-automation management in our country remains low and the methods of technology management relatively drop behind. The ratio of power loss in power line has been high for a long time and the situation of power theft is serious which take great economic losing to power corporations. The reliability of power supply and the quality of power supply need to be enhanced. The application of the system of Power management and guarding against power theft based on modern information management technology satisfied the impendence need of enhancing the efficiency and quality of management and economic benefit. A large amount of basic power data and history Power data have been accumulated while many power corporations didn’t make rapid effective and general analysis on these data and the doing of power theft.On the basis of introducing the status of the guarding against power theft, this paper analyses the shortages of traditional technology on guarding against power theft and the essence of power theft,analyses the connotation and algorithm principles of artificial neural network, bring forward a kind of model guarding against power theft bases on artificial neural network. This paper elaborates the whole process of applying artificial neural network into the system of guarding against power theft. Then it introduced the model of guarding against power theft evaluation principles and processes, and select eight impact factors of the suspect of stealing indicators according to the characteristics of tampering with the electricity supply sector and the reference of experience. It complete the construction of the guarding against power theft index model system for the application of artificial neural network analysis of the situation. Then we analyzed the principles of artificial neural networks and some algorithms, and combined with the guarding against power theft model to analyze the electrical characteristics of normal and abnormal users.Finally, The paper discuss the processing and problems that should pay attention combined with the examples of using artificial neural networks in guarding against power theft system. It can explain the artificial neural network is feasible as a tool in guarding against power theft system through the establishment of neural networks.

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CLC: > Industrial Technology > Electrotechnical > Transmission and distribution engineering, power network and power system > Power system scheduling, management, communication
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