电网中分布式电源(distributed generation,DG)出力的随机波动性,以及负荷与电网互动性的增强,使得基于电网最大运行工况进行的传统变电站规划不再适应新形势下智能电网的发展。针对该问题,首先建立了负荷和分布式电源(distributed gene...电网中分布式电源(distributed generation,DG)出力的随机波动性,以及负荷与电网互动性的增强,使得基于电网最大运行工况进行的传统变电站规划不再适应新形势下智能电网的发展。针对该问题,首先建立了负荷和分布式电源(distributed generation,DG)出力的时间序列,并基于该序列建立了配电网变电站选址定容的时序模型,在该模型中考虑了各变电站供区内DG渗透率的平衡,有效计及了DG的地理分布及其波动性;然后,基于变电站供区内的负荷及DG出力特性,研究了变电站综合负荷特性,并根据各负荷点的调节能力,提出了改善变电站综合负荷特性的负荷平移策略;通过将交替定位分配法与自适应调整搜索范围的遗传算法相结合,提出了交替迭代遗传算法(location and allocation with genetic algorithm,LA-GA),用以对变电站规划的时序模型进行优化求解;最后,对一实际规划区域进行仿真计算,验证了文中模型和算法的有效性。展开更多
Large fluctuations may occur on the energy supply and the load sides when large-scale renewable energies are integrated,leading to great challenges in power systems.The renewable power curtailment is especially numero...Large fluctuations may occur on the energy supply and the load sides when large-scale renewable energies are integrated,leading to great challenges in power systems.The renewable power curtailment is especially numerous in the integrated electricity-heat energy system(IEHES)on account of electricity-heat coupling.The flexible resources(FRs)on both the energy supply and load sides are introduced into the optimal dispatch of the IEHES and further modeled to alleviate the renewable fluctuations in this paper.On the energy supply side,three kinds of FRs based on electricity-heat coordination are modeled and discussed.On the load side,the shiftable electricity demand resource is characterized.On this basis,the solution for FRs participating in IEHES dispatch is given,with goals of maximizing the renewable penetration ratio and lowering operation costs.Two scenarios are performed,and the results indicate that the proposed optimal dispatch strategy can effectively reduce the renewable energy curtailment and improve the flexibility of the IEHES.The contribution degrees of different FRs for renewable integration are also explored.展开更多
针对可再生能源发电的消纳以及冷热电负荷需求不匹配问题,文章在原有区域综合能源系统(regional integrated energy system,RIES)的基础上,引入电转气(power to gas,P2G)技术,同时结合综合能源系统内不同种类可平移负荷的用能特性,建立...针对可再生能源发电的消纳以及冷热电负荷需求不匹配问题,文章在原有区域综合能源系统(regional integrated energy system,RIES)的基础上,引入电转气(power to gas,P2G)技术,同时结合综合能源系统内不同种类可平移负荷的用能特性,建立了各类可平移负荷模型,对冷热电负荷平移,利用内点法求解可平移负荷模型,建立涵盖经济、能源及环境等多方面的多目标系统运行优化模型,采用粒子群优化算法获得Pareto非劣解集,并利用模糊理论获得折中解。在算例中设置多种场景,仿真分析考虑负荷平移和电转气技术的区域综合能源系统在降低系统运行成本、削峰填谷等方面的优势,从而验证所搭建模型的有效性。展开更多
文摘电网中分布式电源(distributed generation,DG)出力的随机波动性,以及负荷与电网互动性的增强,使得基于电网最大运行工况进行的传统变电站规划不再适应新形势下智能电网的发展。针对该问题,首先建立了负荷和分布式电源(distributed generation,DG)出力的时间序列,并基于该序列建立了配电网变电站选址定容的时序模型,在该模型中考虑了各变电站供区内DG渗透率的平衡,有效计及了DG的地理分布及其波动性;然后,基于变电站供区内的负荷及DG出力特性,研究了变电站综合负荷特性,并根据各负荷点的调节能力,提出了改善变电站综合负荷特性的负荷平移策略;通过将交替定位分配法与自适应调整搜索范围的遗传算法相结合,提出了交替迭代遗传算法(location and allocation with genetic algorithm,LA-GA),用以对变电站规划的时序模型进行优化求解;最后,对一实际规划区域进行仿真计算,验证了文中模型和算法的有效性。
基金This work was supported by the National Natural Science Foundation of China(No.52076073).
文摘Large fluctuations may occur on the energy supply and the load sides when large-scale renewable energies are integrated,leading to great challenges in power systems.The renewable power curtailment is especially numerous in the integrated electricity-heat energy system(IEHES)on account of electricity-heat coupling.The flexible resources(FRs)on both the energy supply and load sides are introduced into the optimal dispatch of the IEHES and further modeled to alleviate the renewable fluctuations in this paper.On the energy supply side,three kinds of FRs based on electricity-heat coordination are modeled and discussed.On the load side,the shiftable electricity demand resource is characterized.On this basis,the solution for FRs participating in IEHES dispatch is given,with goals of maximizing the renewable penetration ratio and lowering operation costs.Two scenarios are performed,and the results indicate that the proposed optimal dispatch strategy can effectively reduce the renewable energy curtailment and improve the flexibility of the IEHES.The contribution degrees of different FRs for renewable integration are also explored.
文摘针对可再生能源发电的消纳以及冷热电负荷需求不匹配问题,文章在原有区域综合能源系统(regional integrated energy system,RIES)的基础上,引入电转气(power to gas,P2G)技术,同时结合综合能源系统内不同种类可平移负荷的用能特性,建立了各类可平移负荷模型,对冷热电负荷平移,利用内点法求解可平移负荷模型,建立涵盖经济、能源及环境等多方面的多目标系统运行优化模型,采用粒子群优化算法获得Pareto非劣解集,并利用模糊理论获得折中解。在算例中设置多种场景,仿真分析考虑负荷平移和电转气技术的区域综合能源系统在降低系统运行成本、削峰填谷等方面的优势,从而验证所搭建模型的有效性。
