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融合交通网的局域能源互联网多故障修复策略
引用本文:吕雪姣,杨丽君,安立明,蔺志鹏.融合交通网的局域能源互联网多故障修复策略[J].电力自动化设备,2020,40(7):32-38.
作者姓名:吕雪姣  杨丽君  安立明  蔺志鹏
作者单位:河北科技师范学院 机电工程学院,河北 秦皇岛 066004;燕山大学 电力电子节能与传动控制河北省重点实验室,河北 秦皇岛 066004;北京电力设备总厂有限公司,北京 102401
基金项目:国家自然科学基金资助项目(61573302);河北省自然科学基金资助项目(E2019203514)
摘    要:针对局域能源互联网发生多故障时的失电负荷快速恢复问题,在考虑交通网与电网信息耦合关系的基础上,提出了一种融合交通网的局域能源互联网多故障修复策略。当局域能源互联网发生多故障时,首先能源路由器将故障信息传递给各虚拟微网;然后,虚拟微网通过控制分布式电源出力,再联合交通网信息对电动汽车进行调度,以优先恢复重要负荷和失电负荷恢复价值最大化为目标制定恢复策略;在此基础上,考虑到微网恢复能力以及电动汽车电池容量限制,当局域能源互联网仍有失电负荷时,结合交通网信息以网损最小为目标优化抢修小队路径,从而实现对关键故障点的抢修,提高恢复效率;最后,以IEEE 69节点系统为例,验证所提策略的可行性。

关 键 词:局域能源互联网  交通网  虚拟微网  电动汽车  分布式电源  故障修复

Multi-fault repair and recovery strategy for local energy internet integrated with transportation network
LÜXuejiao,YANG Lijun,AN Liming,LIN Zhipeng.Multi-fault repair and recovery strategy for local energy internet integrated with transportation network[J].Electric Power Automation Equipment,2020,40(7):32-38.
Authors:LÜXuejiao  YANG Lijun  AN Liming  LIN Zhipeng
Affiliation:College of Mechanical and Electrical Engineering, Hebei Normal University of Science & Technology, Qinhuangdao 066004, China;State Key Laboratory of Hebei Electric Power Electronic Energy and Drive Control, Yanshan University, Qinhuangdao 066004, China;Beijing Power Equipment Group Co.,Ltd.,Beijing 102401, China
Abstract:Aiming at the rapid recovery problem of power loss load in case of multiple failures of local energy internet, considering the coupling relationship between the transportation network and power grid, a multi-fault repair and recovery strategy for the local energy internet integrated with transportation network is proposed. When the local energy internet has multiple failures, firstly the fault information is transmitted to virtual microgrids through the energy router. Then, the virtual microgrid controls the distributed power generation, and dispatches electric vehicles in conjunction with the transportation network information to set recovery strategy with priority to restore important loads and maximize the recovery value of power loss load. On this basis, considering the recovery capacity of microgrids and the battery capacity limit of electric vehicles, when the local energy internet still has power loss load, the optimal path is selected for the repair team combined with the transportation network information, so as to repair the critical fault and recover the power loss load as soon as possible. Finally, taking IEEE 69-bus system as an example, the feasibility of the proposed strategy is verified.
Keywords:local energy internet  transportation network  virtual microgrid  electric vehicles  distributed power generation  fault repair and recovery
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