引用本文:郝丽丽,陈从霜,王川,蔡霁霖,郝思鹏,刘海涛.基于恢复价值动态评估的配电网恢复控制决策[J].电力自动化设备,2021,41(7):
HAO Lili,CHEN Congshuang,WANG Chuan,CAI Jilin,HAO Sipeng,LIU Haitao.Restoration control strategy of distribution network based on dynamic evaluation of restoration value[J].Electric Power Automation Equipment,2021,41(7):
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基于恢复价值动态评估的配电网恢复控制决策
郝丽丽1, 陈从霜1, 王川1, 蔡霁霖1, 郝思鹏2, 刘海涛2
1.南京工业大学 电气工程与控制科学学院,江苏 南京 211816;2.南京工程学院 电力工程学院,江苏 南京 211167
摘要:
配电网停电后,停电场景、恢复进程和应急情况下的负荷职能等均会影响负荷恢复供电的紧急程度,通常根据待恢复对象自身的恢复价值静态设置其重要等级或重要度,这制约了有限恢复资源的精细化管理。为此,考虑冷负荷启动特性与负荷间职能耦合关系对负荷单位恢复价值的影响,考虑间歇性电源出力的可控性对电源恢复价值的影响,结合母线恢复为周边其他待恢复对象带来的潜在恢复价值,同时计及系统供电缺额、恢复代价和恢复操作的不确定性,提出了综合恢复收益、代价和风险的负荷及电源母线恢复价值动态评估方法。以此为基础,建立了配电网供电恢复多进程优化模型及分区并行恢复决策方法。最后,通过仿真分析验证了所提策略能够有效提高恢复资源的利用率。
关键词:  配电网  恢复价值  不确定性  动态评估  恢复控制决策
DOI:10.16081/j.epae.202104024
分类号:TM732
基金项目:江苏省配电网智能技术与装备协同创新中心开放基金资助项目(XTCX202001);江苏省研究生科研与实践创新计划项目(SJCX20_0344)
Restoration control strategy of distribution network based on dynamic evaluation of restoration value
HAO Lili1, CHEN Congshuang1, WANG Chuan1, CAI Jilin1, HAO Sipeng2, LIU Haitao2
1.College of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing 211816, China;2.School of Electric Power Engineering, Nanjing Institute of Technology, Nanjing 211167, China
Abstract:
The power outage scenario, restoration process and load functions under emergency situations may affect the power supply restoration urgency of load during distribution network restoration. Usually, the importance level or degree of the object to be restored is statically set according to its own restoration value, which restricts the refined management of limited restoration resources. Considering the impact of cold load pick-up characteristic and functional coupling relationship among loads on load unit restoration value, considering the impact of controllability of intermittent power output on generation restoration value, combining with the potential restoration value provided by bus restoration to other surrounding objects to be restored, together with the sufficiency of system, the cost of restoration and the uncertainty of restoration operations, a dynamic evaluation approach for load and generator importance degree is proposed with comprehensive restoration benefits, costs and risks. Based on this, a multi-process optimization model for power supply restoration of the distribution network and a partition parallel restoration decision-making method are developed. Finally, simulative results verify that the proposed strategy can effectively improve the utilization of resources.
Key words:  distribution network  restoration value  uncertainty  dynamic evaluation  restoration control strategy

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