Improving the restoration efficiency of a distribution system is essential to enhance the ability of power systems to deal with extreme events.The distribution system restoration(DSR)depends on the interaction among t...Improving the restoration efficiency of a distribution system is essential to enhance the ability of power systems to deal with extreme events.The distribution system restoration(DSR)depends on the interaction among the electric network(EN),cyber network(CN),and traffic network(TN).However,the coordination of these three networks and codispatching of multiple recovery resources have been mostly neglected.This paper proposes a novel DSR framework,which is formulated as a mixed-integer linear programming(MILP)problem.The failures in cyber lines result in cyber blind areas,which restrict the normal operation of remote-controlled switches.To accelerate the recovery process,multiple recovery resources are utilized including electric maintenance crews(EMCs),cyber maintenance crews(CMCs),and emergency communication vehicles(ECVs).Specifically,CMCs and ECVs restore the cyber function of switches in cooperation,and EMCs repair damaged electric lines.The travel time of these three dispatchable resources is determined by TN.The effectiveness and superiority of the proposed framework are verified on the modified IEEE 33-node and 123-node test systems.展开更多
设计了一套含储热装置的小型内燃发电机组冷热电联供系统(combined cooling heating and power,CCHP),在计及主要设备变负荷特性的基础上,提出了由折旧运行成本、能源成本和环境成本构成的经济优化模型。同时通过构建基于瞬时系统模拟...设计了一套含储热装置的小型内燃发电机组冷热电联供系统(combined cooling heating and power,CCHP),在计及主要设备变负荷特性的基础上,提出了由折旧运行成本、能源成本和环境成本构成的经济优化模型。同时通过构建基于瞬时系统模拟程序与Matlab的联合优化仿真平台,引入遗传算法求解得到燃机日逐时最优工况。以某地办公建筑夏、冬两季典型日负荷为例,详细分析了主要单元出力及各经济成本的变化情况。结果表明,相比"以电定热"的传统运行模式,优化工况在充分结合储热装置与分时电价机制的基础上有效提高了系统的综合经济性。上述研究结果可为CCHP系统的优化运行提供理论依据和平台支撑。展开更多
基金supported by the National Natural Science Foundation of China(No.52007016).
文摘Improving the restoration efficiency of a distribution system is essential to enhance the ability of power systems to deal with extreme events.The distribution system restoration(DSR)depends on the interaction among the electric network(EN),cyber network(CN),and traffic network(TN).However,the coordination of these three networks and codispatching of multiple recovery resources have been mostly neglected.This paper proposes a novel DSR framework,which is formulated as a mixed-integer linear programming(MILP)problem.The failures in cyber lines result in cyber blind areas,which restrict the normal operation of remote-controlled switches.To accelerate the recovery process,multiple recovery resources are utilized including electric maintenance crews(EMCs),cyber maintenance crews(CMCs),and emergency communication vehicles(ECVs).Specifically,CMCs and ECVs restore the cyber function of switches in cooperation,and EMCs repair damaged electric lines.The travel time of these three dispatchable resources is determined by TN.The effectiveness and superiority of the proposed framework are verified on the modified IEEE 33-node and 123-node test systems.
文摘设计了一套含储热装置的小型内燃发电机组冷热电联供系统(combined cooling heating and power,CCHP),在计及主要设备变负荷特性的基础上,提出了由折旧运行成本、能源成本和环境成本构成的经济优化模型。同时通过构建基于瞬时系统模拟程序与Matlab的联合优化仿真平台,引入遗传算法求解得到燃机日逐时最优工况。以某地办公建筑夏、冬两季典型日负荷为例,详细分析了主要单元出力及各经济成本的变化情况。结果表明,相比"以电定热"的传统运行模式,优化工况在充分结合储热装置与分时电价机制的基础上有效提高了系统的综合经济性。上述研究结果可为CCHP系统的优化运行提供理论依据和平台支撑。
