农业科技与装备
農業科技與裝備
농업과기여장비
AGRICULTURAL SCIENCE & TECHNOLOGY AND EQUIPMENT
2014年
12期
22-23,26
,共3页
差分进化算法%改进%线损%无功优化
差分進化算法%改進%線損%無功優化
차분진화산법%개진%선손%무공우화
differential evolution algorithm%improvement%line loss%reactive power optimization
电力系统的无功优化问题是一个复杂的多目标、多约束、非线性的混合整数优化问题，针对基本差分进化算法易陷入局部最优解、收敛速度慢的缺点，提出一种新的改进差分进化算法。该算法通过动态交换、多群体分组和调节自适应参数的方式，增强个体间的信息交换，保持解的多样性，进而实现跳出局部最优解的目的。在此基础上，将该算法应用于电力系统的无功优化中，对IEEE 57节点测试系统进行无功优化仿真，证明该改进差分进化算法是求解电力系统无功优化问题的一种有效工具。
電力繫統的無功優化問題是一箇複雜的多目標、多約束、非線性的混閤整數優化問題，針對基本差分進化算法易陷入跼部最優解、收斂速度慢的缺點，提齣一種新的改進差分進化算法。該算法通過動態交換、多群體分組和調節自適應參數的方式，增彊箇體間的信息交換，保持解的多樣性，進而實現跳齣跼部最優解的目的。在此基礎上，將該算法應用于電力繫統的無功優化中，對IEEE 57節點測試繫統進行無功優化倣真，證明該改進差分進化算法是求解電力繫統無功優化問題的一種有效工具。
전력계통적무공우화문제시일개복잡적다목표、다약속、비선성적혼합정수우화문제，침대기본차분진화산법역함입국부최우해、수렴속도만적결점，제출일충신적개진차분진화산법。해산법통과동태교환、다군체분조화조절자괄응삼수적방식，증강개체간적신식교환，보지해적다양성，진이실현도출국부최우해적목적。재차기출상，장해산법응용우전력계통적무공우화중，대IEEE 57절점측시계통진행무공우화방진，증명해개진차분진화산법시구해전력계통무공우화문제적일충유효공구。
Reactive power optimization problem is a mixed integer optimization problem which is complicated, multi-objective, multi-constraint and nonlinear. Basic differential evolution algorithm has the disadvantages of local optimal solution and low converging speed. In order to avoid the disadvantages, an improved differential evolution algorithm is proposed. The algorithm enhanced the information exchanges between individuals and maintained the diversity of solution by dynamic exchanging, multi-grouping and adaptive parameter adjusting, so that it can step out of local optimal solution. On the basis of it, the proposed algorithm is applied to reactive power optimization of the power system. Simulation is carried out based on IEEE 57-bus system, and the results validate that the improved differential evolution algorithm is an effective tool for solving problems of reactive power optimization in power system.
