电网技术2011，Vol.35Issue(8)：81-87,7.
自适应多目标差分进化算法在计及电压稳定性的无功优化中的应用
A Self-Adaptive Multi-Objective Differential Evolution Algorithm for Reactive Power Optimization Considering Voltage Stability
摘要
Abstract
Reactive power optimization considering voltage stability is a nonlinear constrained multi-objective optimization problem, in which both reduction of active power loss and improvement of static voltage stability are considered. A self-adaptive multi-objective differential evolution （SAMODE） algorithm is proposed to solve the multi-objective reactive power optimization problem. The non-dominated sorting and crowded distance sorting are embedded into the searching mechanism of differential evolution to implement the selection operation, thus the uniform distribution of non-dominated solutions can be ensured and the algorithm can converge to the Pareto front rapidly; to improve the robustness of the algorithm, the self-adaptive adjusting control parameters is introduced into the algorithm to avoid the tedious process of choosing suitable control parameters. The reactive power optimization by the SAMODE algorithm is performed on IEEE 30-bus system, and the effectiveness and superiority of the proposed algorithm are verified by comparing the obtained simulation results with the calculation results of non-dominated sorting genetic algorithm II （NSGA-II）.关键词
无功优化/电压稳定/多目标差分进化/自适应Key words
reactive power optimization/voltage stability/multi-objective differential evolution/self-adaptive分类
信息技术与安全科学引用本文复制引用
邱威,张建华,刘念..自适应多目标差分进化算法在计及电压稳定性的无功优化中的应用[J].电网技术,2011,35(8):81-87,7.基金项目
基金项目：国家863高技术基金项目 （）
国家自然科学基金项目（51007022,50877026）. （）
