Planning Metering for Power Distribution Systems Monitoring with Topological Reconfiguration

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• 作者：Marco António do R. S. Cruz…
• 关键词：State estimation ; Genetic algorithms ; Heuristic ; Power distribution system ; Vertex cover
• 刊名：Journal of Control, Automation and Electrical Systems
• 出版年：2017
• 出版时间：February 2017
• 年：2017
• 卷：28
• 期：1
• 页码：135-146
• 全文大小：
• 刊物主题：Electrical Engineering; Control, Robotics, Mechatronics; Control; Robotics and Automation;
• 出版者：Springer US
• ISSN：2195-3899
• 卷排序：28

文摘

This paper presents a methodology for the optimal meter placement in real-time power distribution systems monitoring with state estimation (SE), taking into account aspects such as observability; absence of critical data; possible changes in the network configuration. It is shown that this problem is considered as a tree vertex cover problem and can be solved in O(n) polynomial time. To accomplish this task, a simple, practical value and constructive Heuristic for RTUs and Measurements Planning (HRMP) algorithm that consider inherent characteristics of the meter placement problem is proposed. Simulation results show a reduction of up to 5 units of remote transmission in the 37-B system with topology reconfiguration, when compared with the solution obtained by metaheuristic Genetic algorithm, resulting in a reduction cost (up to 20.4 %) of the measurement system. As a problem solved in O(n) polynomial time, we achieve a reduction of up to 207,900 % in computational time, when compared with the resolution via metaheuristic with \(O(n^{3})\).