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提出了一种扩展进化规划法进行静止无功补偿器 ( SVC)的优化配置 ,这对提高整个电网的电压水平具有重要意义。文中 SVC优化配置的目标包括 :提高全网无功裕度、无功旋转备用和电压水平 ,同时还要求减小线路损耗 ,以及添加新的 SVC的附加费用最小。文中采用平方和余弦惩罚函数将所有不等约束条件计入优化目标。为保证得到该优化问题的全局最优解 ,所提规划方法中采用多基因变换算子。数字仿真结果表明 ,与模拟退火技术相比 ,扩展进化规划具有明显的优越性
An extended evolution programming method is proposed to optimize the configuration of Static Var Compensator (SVC), which is of great significance to improve the voltage level of the whole power grid. The goal of SVC optimization configuration in this paper is to improve the total network reactive power margin, reactive power spin-back and voltage levels, while reducing the line loss and adding a new SVC with the least additional cost. In this paper, the square and cosine penalty functions are used to calculate all the inequality constraints into the optimization goal. In order to obtain the global optimal solution of the optimization problem, the proposed multi-gene transformation operator is used in the planning method. Numerical simulation results show that, compared with simulated annealing, extended evolutionary programming has obvious advantages