Transmission System Loadability Enhancement with Fitness Sharing PSO Approach Based Optimal FACTS Installation

使用適應分享粒子群優演算法為基礎之最佳化FACTS安裝於輸電系統承載力之增強

張亞清(Ya-Chin Chang)

《清雲學報》 32卷2期 (2012/04) Pp. 1-14

https://doi.org/10.7049/JCYU.201204.0003

摘要

在電力市場中，由於電力需求量及交易量的不斷增加導致電力潮流的巨大變動量，使得輸電系統承載能力的增強較以往變得更加迫切，而在網路中的最佳強化位置可使用一混合離散－連續最佳化問題（MDCP）來進行決定靜態乏補償器（SVC）及閘流體控制串連補償器（TCSC）兩種彈性交流控制系統（FACTS）裝置的位置及容量。本論文提出一由適應分享技術所修正的粒子群優（PSO）方法求解此一MDCP，藉由將適應分享方案與PSO之求解程序進行結合，粒子的搜尋區域得以盡量分散，而能大量提升了獲致最佳解的可能性。

關鍵字

彈性交流控制系統 ； 適應分享技術 ； 網路壅塞 ； 粒子群優 ； 輸電系統承載力

並列摘要

As electricity demands and transactions in power markets constantly increase and incur huge changing power flows, enhancement of transmission system load-ability is becoming more urgent than ever. Determination of the best reinforcement for networks can be formulated as a mixed discrete-continuous nonlinear optimization problem (MDCP) to determine the locations and capacities for installation of two types of flexible AC transmission systems (FACTS) devices, namely static var compensator (SVC) and thyristor controlled series compensator (TCSC). In the paper, a fitness sharing modified particle swarm optimization (PSO) method is proposed to solve the MDCP. By combining the fitness sharing scheme into the PSO process, the searching regions of the particles can be diversified as much as possible, consequently largely raising the possibility to achieve the optimal solution.

並列關鍵字

FACTS ； fitness sharing technique ； network congestion ； particle swarm optimization ； transmission system loadability