最优潮流算法综述  

A Summary of Algorithms for Optimal Power Flow

作　　者：张江红[1] 孟宪朋[2] 刘怀东[1] 陈昊[2] 陈方正[2] 

机构地区：[1]天津大学电气与自动化工程学院,天津300072 [2]石家庄供电公司,河北石家庄050051

出　　处：《华北电力技术》2010年第7期23-26,45,共5页North China Electric Power

摘　　要：最优潮流是一类典型的非线性规划问题,在电力系统中求解最优潮流是一项基本而重要的工作。本文论述了最优潮流算法问题,对其中的简化梯度法、牛顿法、内点法、遗传算法、模拟退火法等进行了详细的比较和探讨,以便为相关研究人员提供一定的参考和帮助。Optimal power flow （OPF） can be defined as a typical nonlinear programming problem. It is a fundamental and important work to solve the optimal power flow problem under the deregulated environment of the electricity industry. The Algorithms of OPF is researched in this paper, problems such as degraded gradient, Newton method, Interior point method, Genetic algorithm and Simulated anneal are compared and discussed. So that scientific reference can be provided to the researchers.

关 键 词：电力系统 最优潮流 牛顿法 内点法 遗传算法 模拟退火法 

分 类 号：TM715[电气工程—电力系统及自动化]