杨波;赵遵廉;陈允平;韩启业;

• 1:武汉大学电气工程学院
• 2:国家电网公司
• 3:武汉大学电气工程学院
• 4:华中电网有限公司 湖北省 武汉市 430072

摘要(Abstract)：

提出了一种新的基于可行保留策略和变异算子的改进粒子群优化算法来求解最优潮流问题。可行保留策略将最优潮流问题的目标函数和约束条件分开处理,使得只有可行的解才能指导粒子飞行,避免了粒子在不可行域中的无效搜索,提高了算法的搜索效率;变异算子以预定的概率选择变异个体,对粒子的位置进行高斯变异操作,使得粒子可以有效避免陷入局部最优,增强了算法的全局搜索能力。通过 IEEE 30节点系统对该算法进行了测试,结果表明,对于复杂的最优潮流问题,该算法优于进化规划算法和常规的粒子群优化算法。

关键词(KeyWords)： 电力系统;最优潮流;粒子群优化;群体智能;遗传算法;进化规划

Abstract:

Keywords:

基金项目(Foundation):

作者(Author): 杨波;赵遵廉;陈允平;韩启业;

Email:

DOI: 10.13335/j.1000-3673.pst.2006.11.003

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