考虑微网和HVDC特性的电网黑启动优化  

Grid Black Start Optimization Considering Microgrid and HVDC Characteristics

作　　者：高浩荣 陈羽[1] 顾泽林 GAO Haorong;CHEN Yu;GU Zelin(School of Electrical and Electronic Engineering,Shandong University of Technology,Zibo 255000,Shandong,China;Weifang Power Supply Company of State Grid Shandong Electric Power Company,Weifang 261000,Shandong,China)

机构地区：[1]山东理工大学电气与电子工程学院,山东淄博255000 [2]国网山东省电力公司潍坊供电公司,山东潍坊261000

出　　处：《电网与清洁能源》2021年第11期9-16,共8页Power System and Clean Energy

基　　金：国家重点研发计划资助项目(2016YFB0900600);国家电网公司科技项目(52094017000W)。

摘　　要：通过对黑启动电源、恢复路径优化的电网黑启动方法能加快发生大停电电网的系统恢复。随着电力系统中微网和HVDC越来越多,交直流混联电网在电网黑启动过程中需充分考虑微网和HVDC的影响。分析了微网和HVDC的特性及其参与黑启动时的控制方法和可行性,以最大化恢复系统的恢复效率为目标构建了考虑微网和HVDC特性的电网网架重构优化模型,使用模拟退火遗传算法(SAGA)和Dijkstra算法对电网进行分区优化和恢复路径选优。最后,通过算例验证了方法的有效性。The optimization of the black-start technology can speed up the system recovery of the blackout grid.With more and more microgrids and HVDC integrated in the power system,the impact of microgrids and HVDC should be fully considered in the AC-DC hybrid power grid during the black-start of the grid.This paper analyzes the characteristics of microgrids and HVDC and their control methods and feasibility when participating in the black-start.With the goal of maximizing the recovery efficiency of the restoration system,an optimization model of grid reconfiguration considering the characteristics of microgrids and HVDC is constructed.SAGA(Simulated Annealing Genetic Algorithm)and Dijkstra are used to optimize the power grid partition and recovery path.Finally,an example is used to verify the effectiveness of this method.

关 键 词：黑启动 微网 HVDC 恢复路径 智能算法 

分 类 号：TM933[电气工程—电力电子与电力传动]