The uncertainties from renewable energy sources(RESs)will not only introduce significant influences to active power dispatch,but also bring great challenges to the analysis of optimal reactive power dispatch(ORPD).To ...The uncertainties from renewable energy sources(RESs)will not only introduce significant influences to active power dispatch,but also bring great challenges to the analysis of optimal reactive power dispatch(ORPD).To address the influence of high penetration of RES integrated into active distribution networks,a distributionally robust chance constraint(DRCC)-based ORPD model considering discrete reactive power compensators is proposed in this paper.The proposed ORPD model combines a second-order cone programming(SOCP)-based model at the nominal operation mode and a linear power flow(LPF)model to reflect the system response under certainties.Then,a distributionally robust optimization(WDRO)method with Wasserstein distance is utilized to solve the proposed DRCC-based ORPD model.The WDRO method is data-driven due to the reason that the ambiguity set is constructed by the available historical data without any assumption on the specific probability distribution of the uncertainties.And the more data is available,the smaller the ambiguity would be.Numerical results on IEEE 30-bus and 123-bus systems and comparisons with the other three-benchmark approaches demonstrate the accuracy and effectiveness of the proposed model and method.展开更多
间歇性分布式电源(distributed generation,DG)接入电网后对线路潮流、节点电压等的影响与其接入位置和容量密切相关。考虑间歇性分布式电源出力的随机性和间歇性,同一配电区域光照、风速和负荷变化具有一定的相关性及受季节变化的影响...间歇性分布式电源(distributed generation,DG)接入电网后对线路潮流、节点电压等的影响与其接入位置和容量密切相关。考虑间歇性分布式电源出力的随机性和间歇性,同一配电区域光照、风速和负荷变化具有一定的相关性及受季节变化的影响,为此,采用可处理输入随机变量相关性的基于拉丁超立方抽样的蒙特卡洛概率潮流计算方法(correlation Latin hypercube sampling Monte Carlo simulation,CLMCS)计算含间歇性分布式电源的配电网潮流,以分布式电源和无功补偿装置的年运行收益为上层规划目标函数,以电压改善年收益和降损年收益为下层规划目标函数,建立嵌入机会约束规划的二层规划分布式电源和无功补偿装置容量协同优化配置模型。采用两层嵌套的自适应人工鱼群算法对本文协同优化配置问题进行求解。最后通过IEEE33节点配电系统算例分析,验证了本文模型和算法的有效性。展开更多
基金supported in part by National Key Research and Development Program of China(No.2018YFB0905000)in part by Key Research and Development Program of Shaanxi(No.2017ZDCXL-GY-02-03)。
文摘The uncertainties from renewable energy sources(RESs)will not only introduce significant influences to active power dispatch,but also bring great challenges to the analysis of optimal reactive power dispatch(ORPD).To address the influence of high penetration of RES integrated into active distribution networks,a distributionally robust chance constraint(DRCC)-based ORPD model considering discrete reactive power compensators is proposed in this paper.The proposed ORPD model combines a second-order cone programming(SOCP)-based model at the nominal operation mode and a linear power flow(LPF)model to reflect the system response under certainties.Then,a distributionally robust optimization(WDRO)method with Wasserstein distance is utilized to solve the proposed DRCC-based ORPD model.The WDRO method is data-driven due to the reason that the ambiguity set is constructed by the available historical data without any assumption on the specific probability distribution of the uncertainties.And the more data is available,the smaller the ambiguity would be.Numerical results on IEEE 30-bus and 123-bus systems and comparisons with the other three-benchmark approaches demonstrate the accuracy and effectiveness of the proposed model and method.
文摘间歇性分布式电源(distributed generation,DG)接入电网后对线路潮流、节点电压等的影响与其接入位置和容量密切相关。考虑间歇性分布式电源出力的随机性和间歇性,同一配电区域光照、风速和负荷变化具有一定的相关性及受季节变化的影响,为此,采用可处理输入随机变量相关性的基于拉丁超立方抽样的蒙特卡洛概率潮流计算方法(correlation Latin hypercube sampling Monte Carlo simulation,CLMCS)计算含间歇性分布式电源的配电网潮流,以分布式电源和无功补偿装置的年运行收益为上层规划目标函数,以电压改善年收益和降损年收益为下层规划目标函数,建立嵌入机会约束规划的二层规划分布式电源和无功补偿装置容量协同优化配置模型。采用两层嵌套的自适应人工鱼群算法对本文协同优化配置问题进行求解。最后通过IEEE33节点配电系统算例分析,验证了本文模型和算法的有效性。
