中国电机工程学报
中國電機工程學報
중국전궤공정학보
ZHONGGUO DIANJI GONGCHENG XUEBAO
2013年
28期
25-33
,共9页
郭金明%李欣然%邓威%何春光%刘卫健
郭金明%李訢然%鄧威%何春光%劉衛健
곽금명%리흔연%산위%하춘광%류위건
分布式电源%2层规划%补偿电容%随机潮流%机会约束规划
分佈式電源%2層規劃%補償電容%隨機潮流%機會約束規劃
분포식전원%2층규화%보상전용%수궤조류%궤회약속규화
distributed generation%bilevel planning%compensation capacitor%probabilistic power flow%chance constrained planning
目前分布式风电(distributed wind generation, DWG)、光伏电池(photovoltaic, PV)等间歇性分布式电源(distributed generation, DG)优化配置对象单一而难以全面反映间歇性DG优化配置的综合效益,且不宜采用确定性的变量和约束来处理间歇性DG出力不确定性和波动性的问题,针对此状况,采用机会约束规划方法,基于随机潮流计算结果,建立2层优化配置模型,对间歇性DG和补偿电容进行综合优化配置,并选择带精英策略的遗传算法进行优化求解。算例结果表明,补偿电容的优化投切效益会影响间歇性DG和补偿电容的优化配置,而补偿电容的配置容量及其最大日允许投切次数、间歇性DG出力和负荷功率期望值的季节性变化对补偿电容的优化投切效益均有显著的影响。2层优化配置的最优方案在兼顾间歇性 DG 和补偿电容的规划经济效益与补偿电容优化投切效益的同时,还可利用补偿电容进一步改善系统的电压质量,从而获得经济效益与电压质量的综合最优,算例分析结果验证了该模型的有效性和合理性。
目前分佈式風電(distributed wind generation, DWG)、光伏電池(photovoltaic, PV)等間歇性分佈式電源(distributed generation, DG)優化配置對象單一而難以全麵反映間歇性DG優化配置的綜閤效益,且不宜採用確定性的變量和約束來處理間歇性DG齣力不確定性和波動性的問題,針對此狀況,採用機會約束規劃方法,基于隨機潮流計算結果,建立2層優化配置模型,對間歇性DG和補償電容進行綜閤優化配置,併選擇帶精英策略的遺傳算法進行優化求解。算例結果錶明,補償電容的優化投切效益會影響間歇性DG和補償電容的優化配置,而補償電容的配置容量及其最大日允許投切次數、間歇性DG齣力和負荷功率期望值的季節性變化對補償電容的優化投切效益均有顯著的影響。2層優化配置的最優方案在兼顧間歇性 DG 和補償電容的規劃經濟效益與補償電容優化投切效益的同時,還可利用補償電容進一步改善繫統的電壓質量,從而穫得經濟效益與電壓質量的綜閤最優,算例分析結果驗證瞭該模型的有效性和閤理性。
목전분포식풍전(distributed wind generation, DWG)、광복전지(photovoltaic, PV)등간헐성분포식전원(distributed generation, DG)우화배치대상단일이난이전면반영간헐성DG우화배치적종합효익,차불의채용학정성적변량화약속래처리간헐성DG출력불학정성화파동성적문제,침대차상황,채용궤회약속규화방법,기우수궤조류계산결과,건립2층우화배치모형,대간헐성DG화보상전용진행종합우화배치,병선택대정영책략적유전산법진행우화구해。산례결과표명,보상전용적우화투절효익회영향간헐성DG화보상전용적우화배치,이보상전용적배치용량급기최대일윤허투절차수、간헐성DG출력화부하공솔기망치적계절성변화대보상전용적우화투절효익균유현저적영향。2층우화배치적최우방안재겸고간헐성 DG 화보상전용적규화경제효익여보상전용우화투절효익적동시,환가이용보상전용진일보개선계통적전압질량,종이획득경제효익여전압질량적종합최우,산례분석결과험증료해모형적유효성화합이성。
The optimal allocation of current distributed generations (DG) such as distributed wind generation (DWG) and photovoltaic (PV) is usually single-object oriented, as a result, it is hard to reflect overall benefits of intermittent DGs`optimal allocation. And it is also inappropriate to use fixed variables and constraints to handle the uncertainty and fluctuation of DGs` power output. Aiming to solve the problems, based on the calculation of probabilistic power flow, a bilevel optimal allocation model was established with opportunity-constrained planning method to carry out comprehensive optimal allocation of intermittent DGs and compensation capacitors. And genetic algorithm with elitist strategy was used for the optimal solution. Results of the example demonstrated that optimized operational benefit of compensation capacitors would affect the optimal allocation of DGs and compensation capacitors, and it would be remarkably influenced by compensation capacitors’ capacity, maximum daily allowable number of switching operations, seasonal change of the expectation of DGs’ output and load power. The optimal scheme of the bilevel planning model considers planning economic benefits of compensation capacitors and DGs, and the optimized operational benefit of compensation capacitors while improving the system voltage quality, thus achieving comprehensive optima of economic benefit and voltage quality. The results of case studies verified the validity and rationality of the model.