协同进化算法在西北电网无功优化中的应用

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。

Application of Cooperative Coevolutionary Approach in Reactive Power Optimization of Northwest Grid

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.