伪并行遗传算法在无功优化中的应用  

APPLICATION OF PSEUDO-PARALLEL GENETIC ALGORITHM IN REACTIVE POWER OPTIMIZATION

作　　者：王志华[1] 尹项根[1] 李光熹[2] 

机构地区：[1]华中科技大学电力学院,湖北省武汉市430074 [2]武汉大学电气工程学院,湖北省武汉市430072

出　　处：《电网技术》2003年第8期33-35,41,共4页Power System Technology

摘　　要：在无功优化中,应用矩阵奇异值分解理论,引入了静态电压稳定裕度最大化目标和并行遗传算法思想,提出了用于无功优化的伪并行遗传算法。该算法在一定程度上避免了常规遗传算法容易出现的“早熟”现象,收敛速度也有一定提高。对Ward&Hale6节点和IEEE14节点系统进行了测试,计算结果表明,本文所提模型和算法是合理可行的。To avoid premature of conclusion simple genetic algorithm and to accelerate the calculation, the thinking of parallel genetic algorithm is applied to reactive power optimization and the decomposition theory of singular values of matrixes is used. the static voltage stability is considered as an objective function in reactive optimization and a pseudo-parallel genetic algorithm is proposed to find the global optimal solutions of the reactive power optimization problem. Two simple test systems, Ward&Hale 6-bus system and IEEE 14-bus system, are employed to verify the effectiveness of the proposed model and algorithm. Simulation results show that both the proposed model and algorithm are reasonable and feasible.

关 键 词：电力系统 无功补偿 无功优化 伪并行遗传算法 矩阵奇异值分解理论 

分 类 号：TM714.3[电气工程—电力系统及自动化] O242.23[理学—计算数学]