WU Li li, HUANG Fei teng, WENG Guo qing

(College of Information Engineering, Zhejiang University of Technology, Hangzhou 310023, China)

Abstract: Aiming at the high cost problem of power quality monitoring system in distribution network, a state estimation method was researched which is used to estimate the monitoring data of uninstalled nodes by known information of power quality monitoring (PQM). The power quality monitoring system was constructed based on state estimation and PQM. An optimal allocation method based on the state estimation and the improved genetic algorithm of multiple populations was proposed, with fewer monitoring device for the comprehensive monitoring of the distribution network. The optimization of system performance and finance was achieved. Global information of the monitoring stations was processed by the optimal monitoring system, to help the administrative departments to find out the reason as soon as possible, clear the responsibility and solve faults. The proposed algorithm was applied in two different topologies of IEEE distribution network. The results indicate that the proposed algorithm can effectively achieve the optimal allocation of power quality monitoring in the distribution network, and it can reduce the costs of the power quality monitoring system.

Key words: power quality; monitoring station; optimal allocation; state estimation; genetic algorithm