%0 Journal Article
%T 可移动应急电源在电力–交通网络中的配置与调度研究<br>Research on Configuration and Scheduling of Mobile Emergency Power Supply in Power Transportation Network
%A 张刊
%J Smart Grid
%P 58-74
%@ 2161-8771
%D 2021
%I Hans Publishing
%R 10.12677/SG.2021.111007
%X <div style=\"text-align:justify;\">
	考虑到不确定性极端事件的到来会对电力网和交通网同时造成破坏，本文利用可移动电源作为电力交通网耦合的桥梁，通过最短路径算法研究应急电源的移动规律，使应急电源能够最快地对电力系统重要负荷进行修复，减小系统损失。为更好地提高电力系统生存抵抗力和恢复力，分别对应预置和调度两个阶段，本文第一阶段建立了一个针对多场景下电力–交通网破坏的应急电源预置模型，考虑了电力系统常规约束、应急电源位置约束等，同时采用改进后的Dijkstra算法对道路破坏的交通系统进行处理求解出任意节点间的移动距离，第二阶段建立了灾害到来时应急电源实时调度模型，考虑电力交通相关约束，最后该两阶段模型在python-gurobi上实现，案例采用IEEE33节点系统，求解得出应急电源预置和调度结果。<br />
Considering that the arrival of uncertain extreme events will damage the power and traffic network at the same time, this paper uses the mobile power source as the coupling bridge of the power and traffic network, and studies the movement rule of the emergency power source through the shortest path algorithm, so that the emergency power supply can repair the important load of the power system as soon as possible and reduce the system loss. In order to improve the survivability and resilience of the power system, in this paper, we first establish an emergency power source preset model for multi-scenario power-traffic network disruption, which takes into account the conventional constraints of the power system and the location constraints of the emergency power source. At the same time, the improved Dijkstra algorithm is used to deal with the traffic system with road damage and solve the problem between any nodes in the second stage. The real-time dispatching model of emergency power source is established when the disaster comes. Considering the constraints of electric power and transportation, the two-stage model is implemented on Python gurobi. The IEEE33-node system is used in the case, and the preset and dispatching results of emergency power sources are obtained.
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%K 极端事件，应急电源，电力-交通网，生存力，恢复力，配置与调度<br>Extreme Events
%K Emergency Power Source
%K Power-Traffic Network
%K Survivability
%K Resilience
%K Preset and Dispatching
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=40588