| 基于二层规划的无功优化模型及其混合算法 |
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| 引用本文： | 王淑芬,万仲平,樊恒,肖昌育,黄要桂.基于二层规划的无功优化模型及其混合算法[J].电网技术,2005,29(9):22-25. |
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| 作者姓名： | 王淑芬 万仲平 樊恒 肖昌育 黄要桂 |
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| 作者单位： | 武汉大学,数学与统计学院,湖北省,武汉市,430072;中南电力设计院,湖北省,武汉市,430071;华中电力调度通信中心,湖北省,武汉市,430067 |
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| 摘 要： | 建立了电力系统无功优化的二层规划数学模型.基于二层规划模型和遗传算法、模拟退火算法的特点,构造了求解该模型的混合算法,即上层采用遗传算法求解,下层采用模拟退火法求解.对IEEE-6节点和IEEE-30节点系统进行的仿真计算表明所建立的模型和算法有效可行,对于大系统而言,该算法与上下层均采用遗传算法相比能大大提高计算速度.
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| 关 键 词： | 无功优化 二层规划 遗传算法 模拟退火算法 电力系统 |
| 文章编号： | 1000-3673(2005)09-0022-04 |
| 修稿时间： | 2005年1月13日 |
REACTIVE POWER OPTIMIZATION MODEL AND ITS HYBRID ALGORITHM BASED ON BILEVEL PROGRAMMING |
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| WANG Shu-fen,WAN Zhong-ping,FAN Heng,XIAO Chang-yu,HUANG Yao-gui.REACTIVE POWER OPTIMIZATION MODEL AND ITS HYBRID ALGORITHM BASED ON BILEVEL PROGRAMMING[J].Power System Technology,2005,29(9):22-25. |
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| Authors: | WANG Shu-fen WAN Zhong-ping FAN Heng XIAO Chang-yu HUANG Yao-gui |
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| Abstract: | A new bilevel programming model for power system reactive power optimization is proposed. Based on bilevel programming and according to the features of genetic algorithm and simulated annealing algorithm, a hybrid algorithm to solve this model is constructed, i.e., the upper level is solved by genetic algorithm and the lower one by simulated annealing algorithm. The simulation by IEEE 6-bus system and IEEE 30-bus system show that the proposed model and algorithm are effective and feasible. For large scale power grid, the calculation speed can be obviously speeded up by the proposed algorithm than that by genetic algorithm for both layers. |
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| Keywords: | Reactive power optimization Bilevel programming Genetic algorithm Simulated annealing algorithm Power system |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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