Suzhou Electric Appliance Research Institute
期刊號(hào): CN32-1800/TM| ISSN1007-3175

Article retrieval

文章檢索

首頁(yè) >> 文章檢索 >> 往年索引

UPFC抑制電力系統(tǒng)低頻振蕩的參數(shù)優(yōu)化研究

來(lái)源:電工電氣發(fā)布時(shí)間:2016-12-19 09:19 瀏覽次數(shù):8
UPFC抑制電力系統(tǒng)低頻振蕩的參數(shù)優(yōu)化研究
 
肖佳宜,李梓萌,申夢(mèng)茜,王文文
(山東科技大學(xué) 電氣與自動(dòng)化工程學(xué)院,山東 青島 266590)
 
    摘 要:為研究統(tǒng)一潮流控制器(UPFC) 用于抑制電力系統(tǒng)低頻振蕩的效果,采用PID 控制策略設(shè)計(jì)了UPFC,并利用遺傳算法(GA) 和粒子群算法(PSO) 分別對(duì)UPFC 參數(shù)進(jìn)行了優(yōu)化。對(duì)含UPFC 的單機(jī)無(wú)窮大系統(tǒng)進(jìn)行仿真,仿真結(jié)果顯示,UPFC 對(duì)阻尼電力系統(tǒng)低頻振蕩起到一定的作用,經(jīng)過(guò)參數(shù)優(yōu)化后系統(tǒng)的暫態(tài)變短,相關(guān)量的波動(dòng)降低,且粒子群優(yōu)化算法用于抑制阻尼電力系統(tǒng)低頻振蕩的效果優(yōu)于遺傳算法。
    關(guān)鍵詞:統(tǒng)一潮流控制器;電力系統(tǒng)低頻振蕩;遺傳算法;粒子群算法;單機(jī)無(wú)窮大系統(tǒng)
    中圖分類號(hào):TM712     文獻(xiàn)標(biāo)識(shí)碼:A     文章編號(hào):1007-3175(2016)12-0031-05
 
Research on Unified Power Flow Controller Parameter Optimization of
Low Frequency Oscillation Suppression in Power System
 
XIAO Jia-yi, LI Zi-meng, SHEN Meng-xi, WANG Wen-wen
(College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao 266590, China)
 
    Abstract: In order to research on the effect of unified power flow controller (UPFC) used for suppressing the low frequency oscillation of electrical power system, this paper adopted the proportion integration differentiation (PID) control strategy to design the UPFC. The genetic algorithm (GA) and the particle swarm optimization(PSO) were used to optimize the parameters of UPFC respectively. The single-machine infinite bus system with UPFC was carried out simulation. The simulation results show that the UPFC plays a role in the damping low frequency oscillation of electrical power system. The system transient state of parameter optimization gets shorter, the fluctuation of correlation quantity gets lower and the effect of particle swarm optimization used for the damping low frequency oscillation of electrical power system is superior to that of GA.
    Key words: unified power flow controller; power system low frequency oscillation; genetic algorithm; particle swarm optimization; single-machine infinite bus system
 
參考文獻(xiàn)
[1] 吳峰. 基于隨機(jī)聚焦粒子群算法的PSS參數(shù)協(xié)調(diào)優(yōu)化[D]. 成都:西南交通大學(xué),2009.
[2] 鞠儒生,陳寶賢,邱曉剛.UPFC控制方法研究[J].中國(guó)電機(jī)工程學(xué)報(bào),2003,23(6):60-65.
[3] 張花芝. UPFC的控制器研究及設(shè)計(jì)[D]. 成都:西南交通大學(xué),2013.
[4] 劉國(guó)爭(zhēng). 統(tǒng)一潮流控制器的最佳配對(duì)及阻尼系統(tǒng)振蕩的研究[D]. 濟(jì)南:山東大學(xué),2006.
[5] 劉光時(shí). 計(jì)及統(tǒng)一潮流控制器的電力系統(tǒng)無(wú)功優(yōu)化研究[D]. 重慶:重慶大學(xué),2012.
[6] BABAEI E, BOLHASAN A M, SADEGHI M, et al.An improved PSO and genetic algorithm based damping controller used in UPFC for power system oscillations damping[C]//International Conference on Electrical Machines & Systems,2011:1-6.
[7] 荊平,周飛,宋潔瑩,等. 采用模塊化結(jié)構(gòu)的統(tǒng)一潮流控制器設(shè)計(jì)與仿真[J]. 電網(wǎng)技術(shù),2013,37(2):356-361.
[8] 吳紅斌,楊儀松,丁明,等. 遺傳算法在UPFC的PID控制器參數(shù)優(yōu)化中的應(yīng)用[J]. 電力自動(dòng)化設(shè)備,2007,27(2):24-27.
[9] VAHIDI B, JAZEBI S, BAGHAEE H R, et al.Power System Stabilization Improvement by Using PSO-Based UPFC[C]//Joint International Conference on Power System Technology & IEEE Power India Conference,2008:1-7.
[10] 王珂. 利用FACTS 裝置抑制電力系統(tǒng)低頻振蕩研究[D]. 杭州:浙江大學(xué),2013.
[11] 陳剛,何潛,段曉,等. 電力系統(tǒng)低頻振蕩分析與抑制綜述[J]. 南方電網(wǎng)技術(shù),2010,4(3):17-22.