电力建设
電力建設
전력건설
ELECTRIC POWER CONSTRUCTION
2014年
11期
1-6
,共6页
何健%丁晓群%陈光宇%张杭%邓吉祥
何健%丁曉群%陳光宇%張杭%鄧吉祥
하건%정효군%진광우%장항%산길상
配电网%无功优化%双馈异步发电机(DFIG)%场景分析%蒙特卡罗仿真%带反馈的混沌并行差分进化算法(CPDEF)
配電網%無功優化%雙饋異步髮電機(DFIG)%場景分析%矇特卡囉倣真%帶反饋的混沌併行差分進化算法(CPDEF)
배전망%무공우화%쌍궤이보발전궤(DFIG)%장경분석%몽특잡라방진%대반궤적혼돈병행차분진화산법(CPDEF)
distribution network%reactive power optimization%doubly fed induction generator (DFIG)%scenario analysis%Monte Carlo simulation%chaotic parallel differential evolution algorithm with feedback (CPDEF)
将风电机组接入配电网,其出力的间歇性、随机性使得传统无功优化模型不再适用。为此,采用场景分析法对双馈异步发电机(doubly fed induction generator,DFIG)的出力情况进行探讨,建立了含DFIG的配电网无功优化场景模型。考虑DFIG的灵活无功调节能力,建立以降低系统网损、抑制电压波动为综合目标的模糊无功优化模型。通过蒙特卡罗仿真对配电网系统进行无功补偿选址,采用带反馈的混沌并行差分进化算法(chaotic parallel differential evolution algorithm with feedback,CPDEF)求解含DFIG的配电网无功优化问题。通过IEEE 33节点系统对所提出的无功优化模型进行仿真计算,结果表明系统网损得以明显降低,电压水平明显改善,并证明了所提方法的可行性和有效性。
將風電機組接入配電網,其齣力的間歇性、隨機性使得傳統無功優化模型不再適用。為此,採用場景分析法對雙饋異步髮電機(doubly fed induction generator,DFIG)的齣力情況進行探討,建立瞭含DFIG的配電網無功優化場景模型。攷慮DFIG的靈活無功調節能力,建立以降低繫統網損、抑製電壓波動為綜閤目標的模糊無功優化模型。通過矇特卡囉倣真對配電網繫統進行無功補償選阯,採用帶反饋的混沌併行差分進化算法(chaotic parallel differential evolution algorithm with feedback,CPDEF)求解含DFIG的配電網無功優化問題。通過IEEE 33節點繫統對所提齣的無功優化模型進行倣真計算,結果錶明繫統網損得以明顯降低,電壓水平明顯改善,併證明瞭所提方法的可行性和有效性。
장풍전궤조접입배전망,기출력적간헐성、수궤성사득전통무공우화모형불재괄용。위차,채용장경분석법대쌍궤이보발전궤(doubly fed induction generator,DFIG)적출력정황진행탐토,건립료함DFIG적배전망무공우화장경모형。고필DFIG적령활무공조절능력,건립이강저계통망손、억제전압파동위종합목표적모호무공우화모형。통과몽특잡라방진대배전망계통진행무공보상선지,채용대반궤적혼돈병행차분진화산법(chaotic parallel differential evolution algorithm with feedback,CPDEF)구해함DFIG적배전망무공우화문제。통과IEEE 33절점계통대소제출적무공우화모형진행방진계산,결과표명계통망손득이명현강저,전압수평명현개선,병증명료소제방법적가행성화유효성。
After the wind power generators are connected to the distribution network, traditional reactive power optimization model no longer applies as a result of its intermittent and random output.Therefore,the scenario analysis method was adopted to deal with the output power of the doubly fed induction generator (DFIG),and the scenario model was established for reactive power optimization of distribution network with DFIG.Considering the flexible reactive power regulation capability of DFIG,a model for fuzzy reactive power optimization was presented with a comprehensive objective function of reducing the network loss and restricting node voltage variations of distribution network.The location of reactive power compensation device for distribution network was determined by Monte Carlo simulation.Chaotic parallel differential evolution algorithm with feedback (CPDEF)was used to solve the reactive power optimization of distribution network with DFIG.Finally,the IEEE 33-bus system was used as a test case to simulate the proposed optimization model of reactive power.Simulation results show that the active power loss of distribution network is reduced significantly,and its voltage profile is improved.It also proves that the proposed method is feasible and effective.