| 电力系统无功最优潮流模型及其求解——基于改进粒子群优化算法的潮流优化 |
| |
| 引用本文： | 宋仁栋,温步瀛.电力系统无功最优潮流模型及其求解——基于改进粒子群优化算法的潮流优化[J].福建电力与电工,2007,27(3):18-20. |
| |
| 作者姓名： | 宋仁栋 温步瀛 |
| |
| 作者单位： | 福州大学电气工程与自动化学院,福建,福州,350002 |
| |
| 摘 要： | 提出了一种基于改进粒子群优化算法的无功最优潮流模型及求解方法,灵活处理最优潮流问题的各种约束条件。通过对IEEE-30节点系统的仿真计算,并与遗传算法、基本粒子群优化算法计算结果进行比较,验证了本文提出的模型和方法的有效性。
|
| 关 键 词： | 粒子群优化算法 最优潮流 遗传算法 |
| 文章编号： | 1006-0170(2007)03-0018-03 |
| 修稿时间： | 2007年8月7日 |
Model for Optimal Reactive Power Flow of Electric Power System and Its Resolving:Optimization for Power Flow Based on Modified Particle Swarm Optimization Algorithm |
| |
| SONG Ren-dong,WEN Bu-ying.Model for Optimal Reactive Power Flow of Electric Power System and Its Resolving:Optimization for Power Flow Based on Modified Particle Swarm Optimization Algorithm[J].Fujian Power and Electrical Engineering,2007,27(3):18-20. |
| |
| Authors: | SONG Ren-dong WEN Bu-ying |
| |
| Abstract: | A model for optimal reactive power flow is presented and the method based on modified particle swarm optimization algorithm is proposed. Then the various constraints of optimal power flow are solved neatly using different methods. The proposed model and method is demonstrated and compared with genetic algorithm and basic particle swarm optimization algorithm on the standard IEEE 30-bus system. The test results indicates the validity of the proposed model and method. |
| |
| Keywords: | particle swarm optimization algorithm optimal power flow genetic algorithm |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
