摘要
针对极端灾害下交通流量的动态变化特性对配电网故障修复过程的影响,在电网与交通网耦合的背景下,计及移动式和固定式2类应急恢复资源与故障抢修间的协调调度,提出了配电网灾后故障修复多时间断面优化策略。首先,采用元胞传输模型建立了交通网络模型,预测了抢修小队和移动式储能车的行驶时间。其次,建立了以负荷削减量与恢复资源调度成本最小为目标,故障设备的抢修顺序和恢复资源的调度计划为决策变量的混合整数线性规划模型,并采用多时间断面优化方法求解。此外,提出了一种网架动态重构方法,通过增加虚拟根节点与各失电节点构成一个虚拟孤岛,并随网架改变动态添加和删减该孤岛中的节点数目,保证了整个配电网始终能够满足辐射状约束,提高了算法对故障场景的适应性。最后,采用算例仿真验证了所提方法提升配电网韧性的有效性。
Aiming at the influence of the dynamic change characteristics of traffic flow on the fault recovery process of distribution network under extreme disasters,in the background of the coupling of the power grid and transportation network,considering the coordination and scheduling between mobile and fixed emergency recovery resources and fault repair,a multi-time-section optimization strategy for the post-disaster fault recovery of the distribution network is proposed.Firstly,the cell transmission model is used to establish the transportation network model,which can predict the traveling time of the road repair crews and mobile energy storage vehicles.Secondly,a mixed-integer linear programming model is established,which aims at minimizing the load reduction amount and the scheduling cost of restoration resources,and takes the emergency repair sequence of faulty equipment and the scheduling plan of restoration resources as decision variables.The multi-time-section optimization method is used to solve the model.In addition,a method for dynamic reconfiguration of grids is proposed.By adding a virtual root node to form a virtual island with each power loss node,and dynamically adding and deleting the number of nodes in the island with the change of the grid,it is ensured that the entire distribution network can always meet the radial constraints,and the adaptability of the algorithm to fault scenarios is improved.Finally,examples are used to verify the effectiveness of the proposed method in improving the resilience of the distribution network.
作者
万海洋
刘文霞
石庆鑫
何剑
孙为民
张晓涵
WAN Haiyang;LIU Wenxia;SHI Qingxin;HE Jian;SUN Weimin;ZHANG Xiaohan(School of Electrical and Electronic Engineering,North China Electric Power University,Beijing 102206,China;China Electric Power Research Institute,Beijing 100192,China)
出处
《电力系统自动化》
EI
CSCD
北大核心
2022年第12期119-129,共11页
Automation of Electric Power Systems
基金
国家电网有限公司总部科技项目(基于总体国家安全观的大停电事件全链条演化机理与战略防御框架研究,5100-202155482A-0-5-ZN)。
关键词
电网
交通网
交通流量
故障修复
移动式储能
动态重构
韧性
power grid
transportation network
traffic flow
fault recovery
mobile energy storage
dynamic reconfiguration
resilience
