高比例可再生能源并网为电网承载能力带来了挑战,提出一种高比例可再生能源接入背景下电网承载能力鲁棒提升策略。首先,考虑线路扩容成本、储能装置成本以及负荷需求响应容量成本,构建可再生能源出力和负荷给定场景下的确定性提升策略模...高比例可再生能源并网为电网承载能力带来了挑战,提出一种高比例可再生能源接入背景下电网承载能力鲁棒提升策略。首先,考虑线路扩容成本、储能装置成本以及负荷需求响应容量成本,构建可再生能源出力和负荷给定场景下的确定性提升策略模型;其次,基于改进k-means聚类算法得到多个计及风-光-负荷相关性的典型场景,并以典型场景为区间中心的不确定区间描述负荷的不确定性;然后,基于两阶段鲁棒优化理论构建电网承载能力提升策略模型,并采用列和约束生成(column and constraint generation,C&CG)算法对模型进行求解;最后,算例结果验证了所提模型和求解方法的有效性。展开更多
针对电网消纳能力评估问题进行研究,提出一种计及风-光-水-火多能协同的电网可再生能源消纳能力评估方法。首先,构建风-光-水-火多能协同系统框架;其次,给出可再生能源接纳运行风险的定义,并建立可再生能源运行风险模型;最后,基于两阶...针对电网消纳能力评估问题进行研究,提出一种计及风-光-水-火多能协同的电网可再生能源消纳能力评估方法。首先,构建风-光-水-火多能协同系统框架;其次,给出可再生能源接纳运行风险的定义,并建立可再生能源运行风险模型;最后,基于两阶段鲁棒优化理论提出计及风-光-水-火多能协同的电网可再生能源消纳能力评估模型,并采用列和约束生成(column and constraint generation,C&CG)算法求解。算例结果表明:所提模型可有效控制可再生能源出力不确定集及评估电网可再生能源消纳能力。展开更多
Due to the uncertainty and fluctuation of distributed generation(DG)and load,the operation of active distribution network(ADN)is affected by multi-dimension factors which are described by massive operation scenarios.E...Due to the uncertainty and fluctuation of distributed generation(DG)and load,the operation of active distribution network(ADN)is affected by multi-dimension factors which are described by massive operation scenarios.Efficient and accurate screening of severely restricted scenarios(SRSs)has become a new challenge in ADN planning.In this paper,a novel bi-level coordinated planning model which combines the short-time-scale operation problem with the long-time-scale planning problem is proposed.At the upper level,the demand response(DR)resource,an effective non-component planning resource characterized by low capacity price,high energy price,and short contract term,is co-optimized with the configuration of lines and energy storage systems(ESSs)to achieve the economic trade-off between the investment cost and the operation cost under SRSs.At the lower level,with the planning scheme obtained from the upper level,massive operation problems are optimized to minimize the daily operation cost;and the SRSs are provided to the upper level through a shadow-price-based scenario screening method,which simulates the planning information(i.e.,the restricted degrees of operation scenarios)feedback process from ADN operators to ADN planners.Case studies on a 62-node distribution system in Jianshan New District,Zhejiang Province,China,illustrate the effectiveness of the proposed bi-level coordinated planning model considering DR resources and SRSs.展开更多
文摘高比例可再生能源并网为电网承载能力带来了挑战,提出一种高比例可再生能源接入背景下电网承载能力鲁棒提升策略。首先,考虑线路扩容成本、储能装置成本以及负荷需求响应容量成本,构建可再生能源出力和负荷给定场景下的确定性提升策略模型;其次,基于改进k-means聚类算法得到多个计及风-光-负荷相关性的典型场景,并以典型场景为区间中心的不确定区间描述负荷的不确定性;然后,基于两阶段鲁棒优化理论构建电网承载能力提升策略模型,并采用列和约束生成(column and constraint generation,C&CG)算法对模型进行求解;最后,算例结果验证了所提模型和求解方法的有效性。
文摘针对电网消纳能力评估问题进行研究,提出一种计及风-光-水-火多能协同的电网可再生能源消纳能力评估方法。首先,构建风-光-水-火多能协同系统框架;其次,给出可再生能源接纳运行风险的定义,并建立可再生能源运行风险模型;最后,基于两阶段鲁棒优化理论提出计及风-光-水-火多能协同的电网可再生能源消纳能力评估模型,并采用列和约束生成(column and constraint generation,C&CG)算法求解。算例结果表明:所提模型可有效控制可再生能源出力不确定集及评估电网可再生能源消纳能力。
基金This work was supported by the National Key R&D Program of China(No.2016YFB0900100)the National Natural Science Foundation of China(No.51777185)the Science and Technology Program of State Grid Zhejiang Electric Power Co.,Ltd.(No.5211JY180015).
文摘Due to the uncertainty and fluctuation of distributed generation(DG)and load,the operation of active distribution network(ADN)is affected by multi-dimension factors which are described by massive operation scenarios.Efficient and accurate screening of severely restricted scenarios(SRSs)has become a new challenge in ADN planning.In this paper,a novel bi-level coordinated planning model which combines the short-time-scale operation problem with the long-time-scale planning problem is proposed.At the upper level,the demand response(DR)resource,an effective non-component planning resource characterized by low capacity price,high energy price,and short contract term,is co-optimized with the configuration of lines and energy storage systems(ESSs)to achieve the economic trade-off between the investment cost and the operation cost under SRSs.At the lower level,with the planning scheme obtained from the upper level,massive operation problems are optimized to minimize the daily operation cost;and the SRSs are provided to the upper level through a shadow-price-based scenario screening method,which simulates the planning information(i.e.,the restricted degrees of operation scenarios)feedback process from ADN operators to ADN planners.Case studies on a 62-node distribution system in Jianshan New District,Zhejiang Province,China,illustrate the effectiveness of the proposed bi-level coordinated planning model considering DR resources and SRSs.
