摘要
将 Tabu搜索方法用于电力系统无功优化 ,采用二进制和十进制编码 2种方案。对IEEE30节点系统和 1 2 5节点山东省某地区电网进行了优化计算 ,并与简单遗传算法、结合模拟退火的遗传算法进行了比较 ,结果表明 Tabu搜索方法具有更强的全局寻优能力 ,可用于运行方式安排 。
Tabu search (TS) is a highly efficient new heuristic searching technique for quickly finding high quality solutions tocombinatorial optimization problems. It is characterized by gathering knowledge during the search. and subsequently profitingfrom this knowledge avoiding local optimal solutions. TS method with binary and decimal coding are applied to reactive poweroptlmizatlon in this paper. In two power systems, the IEEE 30 bus system and a 125 bus actual power system with 64 controlvariables in Shandong Province. China, this method has been tested. Comparison results of the TS method with geneticalgorithm and genetic/slmulated annealing hybrid algorithm show that the TS method with decimal coding is the mostefficient, and it can offer nearly optimal solution to reactive power optimization problem within reasonable computing time.This project is supported by the research award foundation for outstanding young and middle--aged scientists in ShandongProvince (No. 97235515).
出处
《电力系统自动化》
EI
CSCD
北大核心
2000年第2期61-64,共4页
Automation of Electric Power Systems
基金
山东省优秀中青年科学家科研奖励基金资助课题!(972 35 5 1 5 )
关键词
TABU搜索
遗传算法
无功优化
电力系统
Tabu search. genetic algorithms, reactive power optimization
power systems
