确定TCSC安装位置和安装容量的方法  

Approach to Determine the Optimal Location and Paramater Setting of TCSC

作　　者：王延鹏[1] 蔡兴国[1] 

机构地区：[1]哈尔滨工业大学电气工程及自动化学院,哈尔滨150001

出　　处：《电力系统及其自动化学报》2010年第2期48-53,共6页Proceedings of the CSU-EPSA

基　　金：高等学校博士学科点专项科研基金资助项目(20050213006);黑龙江省科技攻关项目(GD07A304)

摘　　要：确定可控串联补偿(TCSC)安装位置时,灵敏度方法能提供一些敏感支路信息但不是很精确,故提出一种改进的TCSC选址方法。首先采用输电能力对支路电抗的灵敏度求出系统中对安装TCSC较为敏感的支路群,然后利用改进的粒子群算法在较敏感支路群中确定TCSC的最佳安装位置,并求出TCSC的最佳安装个数和安装容量,来达到系统的输电能力最大、网络损耗最小的目的。针对PSO易陷入局部最优的缺点,把元胞自动机理论和种群熵的概念引入粒子群算法对其进行改进,最后,IEEE30节点系统的仿真计算结果验证了所提方法的有效性。The sensitivity method for installing TCSC is inaccarate even though it can provide some sensitive lines for installing TCSC. For solving this problem, a new method for finding optimal location and parameter setting of TCSC is proposed in this paper. Firstly the sensitivity of the transfer capability with respect to the line＇s reactance is calculated to find out the most sensitive lines, and then modified particle swarm optimization （MPSO）is used to find out the optimal locations, the optimal number and the optimal parameter settings of TCSCS to maximize the transfer capability and to minimize the power losses. Particle swarm optimization algorithm often results in the premature of the algorithm. For solving this problem, population entropy and cellular automata are introduced to improve the method. Simulation results of IEEE 30-bus system prove that the proposed method is effective and applicable.

关 键 词：可控串联补偿 最佳安装位置和安装容量 改进粒子群方法 连续潮流法 多目标优化 

分 类 号：TM715[电气工程—电力系统及自动化]