低压减载参数优化问题的分布式计算方法  

Distributed Computing for the Optimization of Undervoltage Load Shedding Parameters

作　　者：李潮[1] 甘德强[1] 汪震[1] 黄亮[2] 

机构地区：[1]浙江大学电气工程学院,浙江省杭州市310027 [2]中国人民银行浙江省分行,浙江省杭州市310001

出　　处：《电力系统自动化》2010年第15期33-36,65,共5页Automation of Electric Power Systems

摘　　要：为了快速有效地求解低压减载(UVLS)参数优化问题,提出了一种基于改进粒子群优化算法的低压减载参数优化分布式计算方法。UVLS参数优化问题被表述为一种L∞型目标优化模型。计算方法采用粒子比较双规则,以引入边界不可行解,提高搜索效率;并采用全局、局部交替搜索策略,以加快收敛速度。进一步,提出了一种事故仿真的近似处理策略,此策略能有效地减少问题求解的计算量。国内某实际电网的算例结果表明,该方法显著地提高了计算速度,取得了良好的优化效果。In order to solve the optimization problem of undervoltage load shedding （UVLS） parameters quickly and effectively,a distributed computing method based on an enhanced particle swarm optimization （PSO） algorithm is presented. The problem is described as an optimization model with a L∞ norm objective function. Two rules for the comparison of particles are introduced to keep infeasible solutions near the boundary so as to improve the search efficiency. The strategy of performing global search and local search alternately is adopted to speed up convergence. Furthermore,an approximate strategy of contingency simulation is proposed which can reduce the computational burden effectively. The results of a real power grid in China show that the proposed method not only improves the computation speed evidently,but also obtains satisfactory optimization results.

关 键 词：分布式计算 低压减载 粒子群优化 稳定约束最优潮流 PC机群 

分 类 号：TM712[电气工程—电力系统及自动化]