扩展进化规划在静止无功补偿器配置中的应用(英文)

APPLICATION OF EXTENDED EVOLUTIONARYPROGRAMMING TO SVC PLACEMENT

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 。

An extended evolutionary programming (EXEP) technique is proposed for optimal solution of the SVCplacement in voltage stability enhancement. Multiple genetic transformation operators are used to ensure that theglobal optimal solution can be obtained. The problem is posed as the minimization of the function whose objectivesare to increase the reactive power margin, the reactive power spinning reserve and the system voltage profile. Atthe same time it is required that the transmission losses are reduced and the additional cost of new SVC devices isminimal. All the operational inequality constraints are transformed to the objective function by using quadratic andcosine penalty functions. Numerical results show that EXEP technique is superior to simulated annealing (SA)technique.