摘要
极端灾害下,配电网通常会发生严重的信息物理耦合故障。充分发挥信息侧和物理侧应急资源的互补优势,能够加速配电网的恢复进程。为此,提出一种故障维修和负荷恢复协同优化的多时段决策方案。分析电力故障的传播效应及信息系统发生故障时的故障隔离过程,并建立多时段故障维修与负荷恢复协同框架;在电力-通信故障维修的基础上,考虑应急通信车的通信恢复作用,建立临时应急通信系统,恢复关键通信节点,指导网络重构,缩小故障区域,同时发挥移动应急发电机的功率支撑作用,恢复关键负荷;以恢复成本最小化为目标建立多时段调度模型,第一阶段基于负荷预测值求解调度计划,第二阶段执行每个时段的调度计划,协调各种发电设备的出力,对预测误差进行修正。算例仿真结果表明所提模型可以有效地提高配电信息物理系统恢复过程的经济性。
Distribution networks often suffer severe cyber physical coupling faults under extreme disasters.Giving full play to the complementary advantages of the emergency resources from both the cyber side and physical side can accelerate the restoration process of the distribution network.Therefore,a multi-period decision-making scheme for coordinated optimization of fault maintenance and load restoration is proposed.The propagation effect of power fault and the fault isolation process when the cyber system fails are analyzed,and a multi-period coordinated framework for fault maintenance and load restoration is established.On the basis of power-communication fault maintenance,considering the communication restoration function of emergency communication vehicles,a temporary emergency communication system is established to critical communication nodes,guide network reconstruction and narrow the fault area.At the same time,the power support function of the mobile emergency generator is utilized to restore critical load.A multiperiod scheduling model is established with the minimum restoration cost as the objective.In the first stage,the scheduling plans are solved based on forecast values of load.In the second stage,the scheduling plan for each period is executed,the output of various power generation equipment is coordinated,and the forecast errors are corrected.The simulative results indicate that the proposed model can effectively improve the economy of the restoration process of cyber physical distribution system.
作者
臧天磊
刘云飞
王世俊
肖渝舰
王梓安
周步祥
ZANG Tianlei;LIU Yunfei;WANG Shijun;XIAO Yujian;WANG Zian;ZHOU Buxiang(College of Electrical Engineering,Sichuan University,Chengdu 610065,China;Intelligent Electric Power Grid Key Laboratory of Sichuan Province,Sichuan University,Chengdu 610065,China)
出处
《电力自动化设备》
EI
CSCD
北大核心
2024年第12期247-256,共10页
Electric Power Automation Equipment
基金
国家自然科学基金资助项目(52377115)。
关键词
配电信息物理系统
故障恢复
故障隔离
故障传播效应
应急通信车
移动应急发电机
线路维修
cyber physical distribution system
fault restoration
fault isolation
fault propagation effect
emer-gency communication vehicles
mobile emergency generators
line maintenance