【作者】 于赞梅；

【导师】 刘观起；

【作者基本信息】 华北电力大学（河北） ， 电力系统及其自动化， 2007， 硕士

【摘要】 随着电力工业的发展,电力市场在全国范围内的推广,电力系统最优潮流在解决电力市场下出现的新问题中发挥着越来越重要的作用。本文首先建立电力市场下以购电费用最小为目标函数的最优潮流数学模型,然后对解决最优潮流问题的粒子群优化算法进行了改进,离散化变量,利用动态调整罚函数对不等式约束进行动态调整。运用MATLAB编写算法程序,利用LabVIEW建立可视化界面。以IEEE-30节点系统为算例,对一天的24个交易时段进行了计算和分析,确定每个时段的出力和购电费用,验证了算法的有效性。更多还原

【Abstract】 During the development of electric power industry, popularization of power market in the whole country, optimal power flow of the power system plays an important role on solving the new problems that are caused by power market. In this paper, the mathematic model of the optimal power flow, with the minimum cost of power purchase as its object function, is firstly represented. Then particle swarm optimization that is used to solve optimal power flow is modified. Variables are disserted and inequality constraints are dynamically adjusted by non-stationary multi-stage assignment penalty function. The program is compiled by the language of MATLAB and the interface is created by LabVIEW. The IEEE-30 system is tested. 24 interval trades of one day are calculated and analyzed, the outputs and costs of every interval is determined. The validity of the algorithm has been testified through the test system.更多还原