基于混合差异进化优化算法的电力系统无功优化  

A Hybrid Differential Evolution Method for Optimal Reactive Power Optimization

作　　者：张丰田[1] 宋家骅[1] 李鉴[1] 程晓磊[1] 

机构地区：[1]东北电力大学电气工程学院,吉林省吉林市132012

出　　处：《电网技术》2007年第9期33-37,共5页Power System Technology

摘　　要：无功优化是电力系统实现电压和无功功率最优控制和调度的基础,阐述了一种基于混合差异进化算法的新无功优化方法。混合差异进化算法是一种直接随机搜索方法,由在当前种群中随机采样的个体之间的基因差异来驱动,且为缩短计算时间、避免陷入局部最优,在算法中嵌入了加速操作和种群迁移操作。将该无功优化方法在IEEE 30节点系统上进行了校验,并与基于其他算法的无功优化方法进行比较,仿真结果表明该算法具有收敛速度快、鲁棒性好、计算精度高的优点。Reactive power optimization is the foundation for optimal Control of voltage and reactive power. In this paper a novel reactive power optimization method based on hybrid differential evaluation algorithm is expounded. Hybrid differential evahiation algorithm is a direct random search method, which is driven by genetic difference among the stochastically sampled individuals in current population. In order to speed up the computation and avoid falling into local optima, the migrant and accelerating operations are embedded in the proposed algorithm. The proposed reactive power optimization method is validated by IEEE 30-bus system and the obtained results are compared with those by other algorithms. Simulation results show that the proposed method possesses following advantages： good convergence performance, good robustness and high calculation accuracy.

关 键 词：电力系统 无功优化 差异进化算法 混合差异进化算法 遗传算法 种群 

分 类 号：TM761.1[电气工程—电力系统及自动化]