电网技术
電網技術
전망기술
POWER SYSTEM TECHNOLOGY
2014年
8期
2161-2167
,共7页
戎晓雪%别朝红%石文辉%刘纯%孙雯%柯丹
戎曉雪%彆朝紅%石文輝%劉純%孫雯%柯丹
융효설%별조홍%석문휘%류순%손문%가단
风速相关性%随机潮流%半不变量%无功补偿
風速相關性%隨機潮流%半不變量%無功補償
풍속상관성%수궤조류%반불변량%무공보상
correlativity among wind speeds%probabilistic load flow%semi-invariant%reactive power compensation
地理位置接近的不同风电场的风速具有较强的相关性,这将会影响含风电电力系统随机潮流分析评估的结果。首先根据多风电场的风速历史数据建立了考虑不同风电场相关性的风速离散化联合概率模型,在此基础上结合半不变量和级数展开方法,提出考虑风电场相关性的含风电电力系统随机潮流分析评估模型,得到各节点电压的分布和越限概率等指标,同时该模型也可以考虑风电场有功无功出力的相关性。对某实际电力系统的算例验证结果表明,所提算法较不考虑风电场相关性的随机潮流结果的精度提高了很多;与蒙特卡洛方法计算结果相比误差较小,而计算速度大大提高。该算法可以快速有效地得到含风电电力系统的随机潮流评估指标,并针对所得结果提出相应的无功补偿方案,具有较好的工程应用价值。
地理位置接近的不同風電場的風速具有較彊的相關性,這將會影響含風電電力繫統隨機潮流分析評估的結果。首先根據多風電場的風速歷史數據建立瞭攷慮不同風電場相關性的風速離散化聯閤概率模型,在此基礎上結閤半不變量和級數展開方法,提齣攷慮風電場相關性的含風電電力繫統隨機潮流分析評估模型,得到各節點電壓的分佈和越限概率等指標,同時該模型也可以攷慮風電場有功無功齣力的相關性。對某實際電力繫統的算例驗證結果錶明,所提算法較不攷慮風電場相關性的隨機潮流結果的精度提高瞭很多;與矇特卡洛方法計算結果相比誤差較小,而計算速度大大提高。該算法可以快速有效地得到含風電電力繫統的隨機潮流評估指標,併針對所得結果提齣相應的無功補償方案,具有較好的工程應用價值。
지리위치접근적불동풍전장적풍속구유교강적상관성,저장회영향함풍전전력계통수궤조류분석평고적결과。수선근거다풍전장적풍속역사수거건립료고필불동풍전장상관성적풍속리산화연합개솔모형,재차기출상결합반불변량화급수전개방법,제출고필풍전장상관성적함풍전전력계통수궤조류분석평고모형,득도각절점전압적분포화월한개솔등지표,동시해모형야가이고필풍전장유공무공출력적상관성。대모실제전력계통적산례험증결과표명,소제산법교불고필풍전장상관성적수궤조류결과적정도제고료흔다;여몽특잡락방법계산결과상비오차교소,이계산속도대대제고。해산법가이쾌속유효지득도함풍전전력계통적수궤조류평고지표,병침대소득결과제출상응적무공보상방안,구유교호적공정응용개치。
Different wind farms close in geographical location possess strong correlativity among wind speeds and it influences the analysis and evaluation results of probabilistic load flow in power grid integrated with wind farms. Firstly, based on historical data of wind speed of multi wind farms a discretized joint probability model of wind speed, in which the correlativity among different wind farms is taken into account, is established;on this basis, combining with semi invariant and series expansion method and considering the correlativity among different wind farms a model to analyze and evaluate probabilistic load flow in power grid integrated with wind farms is proposed to obtain such indices as the distribution of nodal voltages and the out-of-limit probability of branch power flow, meanwhile in the proposed model the correlativity among active and reactive outputs of wind farms can be considered. Taking a certain power grid as the case, the verification results show that the evaluation results of probabilistic load flow by the proposed method are much more accurate than the evaluation results, in which the correlativity among wind farms are not taken into account; comparing with the results by Monte Carlo method, there is smaller computation error in the obtained results while the computation speed is increased greatly. Using the proposed algorithm, the evaluation indices of probabilistic load flow in power grid integrated with wind farms can be obtained rapidly and effectively, and the reactive compensation scheme corresponding to the obtained out-of-limit probability can be put forward.