应用粒子群优化算法求解可用输电能力

在电力市场环境下,诸多问题(例如实时电价、网络阻塞等)都需要最优潮流作为理想的工具.本文以最优潮流为基础,应用一种简单有效、且收敛性很好的演化计算算法--粒子群优化算法(PSO)进行可用输电能力(ATC)问题的求解.根据约束条件的越限量大小,动态地调整罚函数,在保证全局搜索能力的基础上改进了收敛速度.应用此算法对IEEE-30节点系统进行了可用输电能力计算,并与传统的最优潮流算法进行了比较,结果表明该算法的有效性,具有实用意义.

Available transfer capability calculation using particle swarm optimization algorithm

In power market environment,available transfer capability(ATC) is an important measure to evaluate the electric power exchange among areas in a reliable manner.To solve the problem,some novel methods based on optimal power flow(OPF) were proposed.This paper presents the solution of the available transfer capability(ATC) using particle swarm optimization(PSO) technique based on optimal power flow(OPF).A mathematical model for the calculation of ATC,which considers incorporation of non-stationary penalty function in solving OPF problem,was established.The model can significantly improve the convergence and obtain more accurate values.The proposed PSO method is demonstrated and compared with conventional OPF approach on the standard IEEE 30-bus system.The results show its high efficiency and promising practical applications.