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协同进化算法在西北电网无功优化中的应用
Application of Cooperative Coevolutionary Approach in Reactive Power Optimization of Northwest Grid
【摘要】 针对无功优化问题非线性、非连续性等特点以及大范围内无功优化控制变量较多的特点,将协同进化算法应用于西北电网无功优化。实际运行结果表明,协同进化算法不但能得到更好的优化结果,收敛性好,而且计算时间短,更适合于求解实际大系统的无功优化问题。
【Abstract】 The cooperative coevolutionary approach(CCA) is applied in the reactive power optimization for Northwest Grid according to the features of non-convex,non-linear and usually with a large number of control variables existed in the reactive power optimization.The real operating results show that CCA can not only obtain better optimal results with perfect convergence property,but also has short computational time that is more suitable for solving practical large-scale reactive power optimization problems.
【关键词】 无功优化;
协同进化;
遗传算法;
【Key words】 reactive power optimization; cooperative coevolutionary approach; genetic algorithms;
【Key words】 reactive power optimization; cooperative coevolutionary approach; genetic algorithms;
- 【文献出处】 电网与水力发电进展 ,Advances of Power System & Hydroelectric Engineering , 编辑部邮箱 ,2007年03期
- 【分类号】TM714.3
- 【下载频次】58