考虑可靠性收益的配电网智能软开关规划方法

Translated title of the contribution: Planning Method of Soft Open Point in Distribution Network Considering Reliability Benefits

Jinli Zhao, Hao Chen, Guanyu Song*, Xinming Fan, Peng Li, Jianzhong Wu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

19 Citations (Scopus)

Abstract

Soft open points (SOPs), which have powerful capability of power flow control, can make positive contribution under normal operation and fault conditions of distribution network. The benefits both from the improvement of power supply reliability and operation economy should be taken into account at the planning stage. Planning model of SOPs is proposed in this paper considering the effect of connecting SOP on supply reliability and operation economy in distribution network. The fast-search and the method of finding density peaks clustering are used to aggregate the annual load data, and the typical operation scenarios in distribution network are generated to calculate the improvement cost of operation economy. The calculation method of branch failure rate based on related constraints is adopted, considering the influences of load rate of line current, node voltage and length of line on branch failure rate, the dynamic prediction failure set is generated to calculate the benefits of power supply reliability. A hybrid optimization algorithm, which combines the simulated annealing method with the second-order cone programming, is used to solve the planning model mentioned above. Finally, the effectiveness of the proposed planning model is verified by the modified PG&E 69-node test system. The results show that the SOP planning method facing reliability and economy in distribution network can effectively reduce the comprehensive cost of distribution network and maximize the investment benefits.

Translated title of the contributionPlanning Method of Soft Open Point in Distribution Network Considering Reliability Benefits
Original languageChinese (Traditional)
Pages (from-to)22-31
Number of pages10
JournalDianli Xitong Zidonghua/Automation of Electric Power Systems
Volume44
Issue number10
DOIs
Publication statusPublished - 25 May 2020
Externally publishedYes

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