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Intelligent decision support information management in the power system research and application

Author: YeJuanJuan
Tutor: ZhangZuo；ChenBangZuo
School: Zhejiang University
Course: Circuits and Systems
Keywords: Power system Decision Support OLAP Data Mining Expert system
CLC: TP399
Type: Master's thesis
Year: 2006
Downloads: 169
Quote: 2
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Abstract


In China, with the deepening of reform and electricity market supply and demand conditions change, the current electric power system has been difficult to adapt to the socialist market economic system. Therefore, the rapid development of power industry, but also the gradual deepening of the power system, and in this process of reform at all levels of power enterprises are faced with new challenges. Enterprise's focus has changed from a single production safety as to the economic efficiency of the full range of integrated development. Therefore, enterprises need to establish a standardized modern enterprise system, improve production efficiency, improve management, strengthen information feedback, improve decision-making more scientific and accurate, in order to improve the competitiveness of enterprises. The effective application of electronic information technology is to achieve all this shortcut. At this stage, the importance of building the power of information has become increasingly popular, the power system within the building of various enterprises have their own with their own unique management information system. Among them, the remote meter reading system is the most typical information system applications. But reading system accumulated large amounts of data has not been effectively utilized. In the era of data explosion of information, how to effectively promote the enterprises to improve efficiency and provide managers with information on best management and decision-making program services is to improve the economic efficiency of enterprises, the management level of important ways. Therefore, this paper analyzes the power system management information and decision support technology development status, and remote automatic meter reading system of the power collected large amount of historical data processing and analysis, the establishment of meter reading data warehouse, and combine OLAP technology, mathematical statistics, intelligent expert systems and data mining algorithms, a new load combination forecasting model, which combines the advantages of various load forecasting algorithm, consider the impact of more comprehensive information, thereby improving the prediction accuracy; finally established power system power management decision support system, to effectively support management decision-making power and the power balance scheme optimization. Meanwhile, the historical data extraction through wiring error diagnostic rules, establish wiring fault diagnosis knowledge base and inference engine to achieve a wiring error expert diagnostic system design, and ultimately used in PDA system for remote wiring error provides a fast and effective diagnostic method .

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