A bilevel programming model for the reactive power optimization

被引：0
|
作者：
Wan, Zhong-Ping [1 ]
Fan, Heng [1 ]
Wang, Shu-Fen [1 ]
Wang, Guang-Min [1 ]
机构：
[1] Wuhan Univ, Sch Math & Stat, Wuhan 430072, Peoples R China
来源：
IPEC: 2005 INTERNATIONAL POWER ENGINEERING CONFERENCE, VOLS 1 AND 2 | 2005年
关键词：
reactive power optimization; voltage stability; bilevel programming model; genetic algorithm; simulated annealing algorithm;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A new bilevel programming model combined the reactive power optimization and the voltage stability is presented in this paper. A hybrid algorithm, based on the genetic algorithm and simulated annealing algorithm to solve this bilevel programming model of the reactive power optimization, is constructed. Testing results of applying the algorithm to an TEEE-30 bus system and an lEEE-6 bus system shows feasibility and efficiency of algorithm. Consequently, blind adjustment of local voltage in nowadays electric power system is solved effectively, at the same time, the dispatch center adjusts and controls the voltage level of bus and active power losses successfully.
引用
收藏
页码：211 / 214
页数：4
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