中国电机工程学报
中國電機工程學報
중국전궤공정학보
ZHONGGUO DIANJI GONGCHENG XUEBAO
2015年
17期
4300-4307
,共8页
崔杨%彭龙%仲悟之%严干贵%尹佳楠%蒲睿
崔楊%彭龍%仲悟之%嚴榦貴%尹佳楠%蒲睿
최양%팽룡%중오지%엄간귀%윤가남%포예
风电场群%无功控制%协调控制%多目标优化%遗传算法
風電場群%無功控製%協調控製%多目標優化%遺傳算法
풍전장군%무공공제%협조공제%다목표우화%유전산법
clustered wind farms%reactive power control%coordination strategy%multi-objective optimization%genetic algorithm
针对目前风电场群无功补偿多以单场独立控制为主,且各风场间缺乏无功协调控制机制的特点,提出一种适用于双馈型风电场群的分层无功补偿策略,特别关注了双馈型风电机组/风电场的无功调控能力,并基于风电功率波动特性分析,根据当前时刻风电有功出力,对其下一时刻的无功调控能力范围进行了概率评估。该策略分3层实施:场群层,根据场群汇集站中枢点电压确定整个场群无功补偿任务;子场层,基于多目标函数模型及遗传算法对各单场分配无功任务;机组层,各单场控制子站实施上层控制下达的指令,并完成场内风机无功分配任务。算例研究表明,该控制策略能够实现各风场无功补偿任务的优化分配,充分利用了双馈风机的无功调控能力,可提高风电场群的静态电压稳定性。
針對目前風電場群無功補償多以單場獨立控製為主,且各風場間缺乏無功協調控製機製的特點,提齣一種適用于雙饋型風電場群的分層無功補償策略,特彆關註瞭雙饋型風電機組/風電場的無功調控能力,併基于風電功率波動特性分析,根據噹前時刻風電有功齣力,對其下一時刻的無功調控能力範圍進行瞭概率評估。該策略分3層實施:場群層,根據場群彙集站中樞點電壓確定整箇場群無功補償任務;子場層,基于多目標函數模型及遺傳算法對各單場分配無功任務;機組層,各單場控製子站實施上層控製下達的指令,併完成場內風機無功分配任務。算例研究錶明,該控製策略能夠實現各風場無功補償任務的優化分配,充分利用瞭雙饋風機的無功調控能力,可提高風電場群的靜態電壓穩定性。
침대목전풍전장군무공보상다이단장독립공제위주,차각풍장간결핍무공협조공제궤제적특점,제출일충괄용우쌍궤형풍전장군적분층무공보상책략,특별관주료쌍궤형풍전궤조/풍전장적무공조공능력,병기우풍전공솔파동특성분석,근거당전시각풍전유공출력,대기하일시각적무공조공능력범위진행료개솔평고。해책략분3층실시:장군층,근거장군회집참중추점전압학정정개장군무공보상임무;자장층,기우다목표함수모형급유전산법대각단장분배무공임무;궤조층,각단장공제자참실시상층공제하체적지령,병완성장내풍궤무공분배임무。산례연구표명,해공제책략능구실현각풍장무공보상임무적우화분배,충분이용료쌍궤풍궤적무공조공능력,가제고풍전장군적정태전압은정성。
Currently reactive power compensation strategies of wind farms in a same wind power base are mainly controlled by every farm independently, and there is a lack of coordinated control mechanism between them. The aim of the proposed work is to present an optimal multilevel control system which mainly allows the doubly fed induction generators (DFIG) to participate at reactive power compensation in wind farms. According to the current active power output, this paper made a probability assessment on reactive power capacity range of DFIGs for next time internal. First, the reference values of reactive power were estimated by monitoring the voltage of central point. Second, the optimal reference values of reactive power for each wind farm at each point of common coupling (PCC) were calculated by genetic algorithm. The proposed multi-level control system recalculates the available reserve of the reactive power of DFIGs to determine the optimal references. The simulation results show a better performance of the proposed model and strategy in respects of using the reactive power capacity of DFIGs and stabilizing the static voltage of wind farms.