A Power System Restoration Method Based on Node Importance

Abstract

An electric power system recovery method based on node importance degree relates to an electric power system recovery method. At present, the evaluation of the node importance degree does not consider the topology characteristic of a network, so that a decision-making misplay is caused easily. The electric power system recovery method based on the node importance degree of the present invention comprises the following steps of calculating a topology connectivity loss regret value and a node recovery cost increase regret value; calculating the node importance degree; determining the recovery sequence of the generator sets; determining a candidate path; calculating an average importance degree and selecting a recovery path; classifying the recovered node and line into an electrified area; if a segment of line is failed during the recovery process, determining a new recovery path again; when the power supply of the generator sets are recovered, ending work, if not determining the generator sets needing to be recovered at the next step, and determining the candidate paths from the electrified area to the generator sets needing to be recovered. Accordingly to the technical scheme, the node importance degree is judged comprehensively, thereby facilitating improving the rationality of decision, realizing the rapid recovery of the system, and reducing the power-off loss.

Description

technical field [0001] The invention relates to a power system restoration method. Background technique [0002] Power system blackout accidents are serious threats that must be faced, and it is of great significance to study power system recovery after a blackout. Network reconfiguration is an important stage of system recovery after a major blackout in the power system. The main task of this stage is to send power to the outage power station as soon as possible, quickly restore the outage unit, and establish a stable grid structure for the next load. Restoration lays a solid foundation. [0003] Wei Zhibo, Liu Yan, and Gu Xueping studied how to optimize the target skeleton network in the article "Network Reconfiguration Based on DPSO Algorithm Aiming at Load Restoration" published in "Power System Automation" 2007, 31(1): 38-42. But did not study how to optimize the recovery path. Zhou Yunhai and Min Yong studied the problem of optimizing the recovery path in the articl...

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Problems solved by technology

Zhou Yunhai and Min Yong studied the problem of optimizing the recovery path in the article "Research on System Reconfiguration Optimization Algorithm in Recovery Control" published in "Proceedings of the Chinese Society for Electrical Engineering" 2003, 23(4): 67-70, and gave However, this method needs to judge important nodes based on expert experience, and only considers the influence of line charging capacitance on recovery.

Lin Zhenzhi and Wen Fushuan published the article "Recovery Path Optimization Method Based on Weighted Complex Network Model" in "Power System Automation" 2009, 33(6): 11-15, which will determine the skeleton network and optimize the restoration path. Combined research, using the betweenness index to measure the network hubness in the weighted complex network to optimize the recovery path, but the topology characteristics of the network are not considered when evaluating the importance of nodes, which will easily lead to decision-making errors, increase system recovery costs, and slow system recovery. Big loss due to power outage

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