Optimal measurement placement for power system state estimation using hybrid genetic algorithm and simulated annealing

被引：0

作者：

Kerdchuen, Thawatch ^{[1
,2
]}

Ongsakul, Weerakorn ^{[3
]}

机构：

[1] Asian Inst Technol, PO Box 4, Pathum Thani 12120, Thailand

[2] Rajamangala Univ Technol Isan, Nakhon Ratchasima, Thailand

[3] AIT, Energy Field Study, Pathum Thani, Thailand

来源：

2006 INTERNATIONAL CONFERENCE ON POWER SYSTEMS TECHNOLOGY: POWERCON, VOLS 1- 6 | 2006年

关键词：

optimal measurement placement (OMP); network observability; hybrid genetic algorithm and simulated annealing (GA/SA);

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper proposes a hybrid genetic algorithm and simulated annealing (GA/SA) for solving optimal measurement placement for power system state estimation. Even though the global minimum measurement pair number is (N - 1), their positions are required to make the system observable. GA/SA algorithm is based on genetic algorithm (GA) process. The acceptance criterion of simulated annealing (SA) is used for chromosome selection. Single measurement pair loss contingency is also considered. The P theta observable concept is used to check the network observability. Test results of 10-bus, IEEE 14, 30, 57 and 118-bus systems indicate that GA/SA is superior to tabu search (TS), GA and SA in terms of higher frequency of the. best hit and faster computational time.

引用

页码：2278 / 2282

页数：5

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