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

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含雙饋型風(fēng)電場(chǎng)的配電網(wǎng)智能無功優(yōu)化方法研究

來源:電工電氣發(fā)布時(shí)間:2016-03-15 14:15 瀏覽次數(shù):922

含雙饋型風(fēng)電場(chǎng)的配電網(wǎng)智能無功優(yōu)化方法研究 

王凌云1,2,鄭業(yè)爽1,楊敏威3 
1 三峽大學(xué) 電氣與新能源學(xué)院,湖北 宜昌 443002;2 三峽大學(xué) 新能源研究院,湖北 宜昌 443002;
3 中國(guó)水電顧問集團(tuán)中南勘測(cè)設(shè)計(jì)研究院,湖北 宜昌 443000
 
 

摘 要: 研究了含雙饋電機(jī)的風(fēng)電場(chǎng)接入配電網(wǎng)后的無功電壓優(yōu)化控制方法,通過分析雙饋感應(yīng)風(fēng)電機(jī)組的功率情況,充分發(fā)揮雙饋感應(yīng)風(fēng)電機(jī)組對(duì)配電網(wǎng)的無功調(diào)節(jié)能力,將構(gòu)建的無功優(yōu)化問題轉(zhuǎn)換為一個(gè)非線性混合整數(shù)優(yōu)化的數(shù)學(xué)問題,并采用智能遺傳優(yōu)化算法進(jìn)行求解。利用IEEE 30 節(jié)點(diǎn)系統(tǒng)作為算例進(jìn)行仿真分析,計(jì)算結(jié)果可為含風(fēng)電場(chǎng)的配電網(wǎng)提供合適的無功分布參考,驗(yàn)證了該控制方法的有效性。
關(guān)鍵詞: 雙饋感應(yīng)電機(jī);風(fēng)電場(chǎng);無功優(yōu)化;遺傳算法
中圖分類號(hào):TM614 文獻(xiàn)標(biāo)識(shí)碼:A 文章編號(hào):1007-3175(2013)05-0018-05


Study on Reactive Power Optimization Method for Distribution Network with Doubly-Fed Induction Generator Wind Farm 

WANG Ling-yun1, 2, ZHENG Ye-shuang1, YANG Min-wei3 
1 College of Electrical Engineering and New Energy, Three Gorges University, Yichang 443002, China;
2 Institute of New Energy, Three Gorges University, Yichang 443002, China;3 Zhongnan Engineering Corporation, Hydro China, Yichang 443000, China
 
 

Abstract: Study was made on the reactive voltage optimization control method after wind farm with doubly-fed induction generator connected to distribution network. Via analysis to power conditions of doubly-fed induction generator set, the reactive power regulation capacity of doubly-fed induction generator set was given full play for distribution network. The problem to construct reactive
power optimization was converted to a non-linear mixed integer optimization problem which was solved by intelligent genetic algorithm. The IEEE 30-node system was chosen as an example for simulation. Calculation results can provide references of suitable reactive power distribution for distribution network containing wind farm. It verifies the validity of the control method.
Key words: doubly-fed induction generator, wind farm, reactive power optimization, genetic algorithm


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