A Restoration Method for Distribution System Based on Projection of Multiple Microgrids

doi:10.11930/j.issn.1004-9649.202405103

Abstract

Abstract:

The participation of microgrids in distribution system restoration can improve the restoration effects and thereby enhance the system resilience. A restoration method for distribution system with multiple microgrids is proposed, which considers the microgrids' privacy and restoration preferences, and can coordinate the power generation resources of the distribution network and microgrids. Firstly, a coordination mechanism for multiple microgrids to participate in distribution network restoration based on virtual nodes and virtual flow decomposition is established to effectively protect the privacy of microgrids. Subsequently, a projection-based critical restoration information-sharing method is proposed to solve the restoration problem, and the vertex search is used to quickly obtain the projection domain and realize critical information interaction. And then, a two-layer coordinated restoration framework for the distribution network and microgrid is proposed, in which the lower microgrid provides limited information including restoration preferences and feasible domain to the distribution network; the upper distribution network makes overall decisions and sends the tie-line power obtained by the decision to the microgrid, and the lower microgrid uses the tie-line power as the constraints to determine the internal load restoration. Finally, based on the constructed power distribution system with multiple microgrids, the effectiveness and advantages of the proposed method is verified.

Key words: resilience, distribution system restoration, restoration, microgrid

Shiyan ZHU, Yin XU, Jinghan HE, Ying WANG. A Restoration Method for Distribution System Based on Projection of Multiple Microgrids[J]. Electric Power, 2024, 57(9): 224-230.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202405103

https://www.electricpower.com.cn/EN/Y2024/V57/I9/224

Figures/Tables 12

Fig.1 Virtual node of microgrid

Fig.2 Virtual stream decomposition for energy restoration

Fig.3 Vertex search algorithm

Fig.4 The power distribution system with multiple microgrids

Fig.5 The two-layer restoration process

Fig.6 Case of a power distribution system with 3 microgrids

Fig.7 Feasible domain of coordination variable projection of MG1

Fig.8 Distribution system topology after restoration

Fig.9 The active output of each power source and each microgrid tie line

Table 1 The restoration status of microgrid load

微电网		恢复负荷
MG1		一级负荷5、一级负荷11
MG2		一级负荷5
MG3		一级负荷1、一级负荷7、二级负荷5

Fig.10 The active power of microgrid power supply and tie line

Table 2 The restoration status of load

方法	负荷类型	配电网	MG1	MG2	MG3
策略1	一级	6、16、18、28	5	—	1、7
策略1	二级	—	7	—	3、6
策略2	一级	6、9、16、18、28	5、11	5	1、7
策略2	二级	7、26	—	—	—
本文方法	一级	6、9、16、18、28	5、11	5	1、7
本文方法	二级	—	—	—	3、5

References 25

1	莫石, 徐秋实, 卢子敬, 等. 模糊分割多目标风险框架下电网连锁故障运行风险评估[J]. 中国电力, 2024, 57 (2): 41- 48.
	MO Shi, XU Qiushi, LU Zijing, et al. Fuzzy partitioned multi-objective risk framework based operational risk assessment of cascading failure for power grid[J]. Electric Power, 2024, 57 (2): 41- 48.
2	梅冰笑, 周金辉, 孙翔. 基于知识图谱与细胞自动机模型的配电网信息系统风险分析[J]. 中国电力, 2022, 55 (10): 23- 31, 44.
	MEI Bingxiao, ZHOU Jinhui, SUN Xiang. Analysis of distribution network information risks based on knowledge graph and cellular automata[J]. Electric Power, 2022, 55 (10): 23- 31, 44.
3	刘玉成, 杨源, 胡宇浩, 等. 基于事件树连锁故障推演和证据推理的制氢站设备风险评价[J]. 发电技术, 2024, 45 (1): 42- 50.
	LIU Yucheng, YANG Yuan, HU Yuhao, et al. Risk assessment of hydrogen production station equipment based on event tree cascading fault deduction and evidential reasoning[J]. Power Generation Technology, 2024, 45 (1): 42- 50.
4	MARNAY C, AKI H, HIROSE K, et al. Japan's pivot to resilience: how two microgrids fared after the 2011 earthquake[J]. IEEE Power and Energy Magazine, 2015, 13 (3): 44- 57. DOI
5	许寅, 王颖, 和敬涵, 等. 多源协同的配电网多时段负荷恢复优化决策方法[J]. 电力系统自动化, 2020, 44 (2): 123- 131.
	XU Yin, WANG Ying, HE Jinghan, et al. Optimal decision-making method for multi-period load restoration in distribution network with coordination of multiple sources[J]. Automation of Electric Power Systems, 2020, 44 (2): 123- 131.
6	PANORA R, GEHRET J E, FURSE M M, et al. Real-world performance of a CERTS microgrid in Manhattan[J]. IEEE Transactions on Sustainable Energy, 2014, 5 (4): 1356- 1360. DOI
7	SCHNEIDER K P, TUFFNER F K, ELIZONDO M A, et al. Evaluating the feasibility to use microgrids as a resiliency resource[J]. IEEE Transactions on Smart Grid, 2017, 8 (2): 687- 696.
8	LIU X D, SHAHIDEHPOUR M, LI Z Y, et al. Microgrids for enhancing the power grid resilience in extreme conditions[J]. IEEE Transactions on Smart Grid, 2017, 8 (2): 589- 597.
9	GHASEMI S, KHODABAKHSHIAN A, HOOSHMAND R A. Decision-making method for critical load restoration by using MGs[J]. IET Generation, Transmission & Distribution, 2019, 13(20): 4630-4641.
10	王守相, 李晓静, 肖朝霞, 等. 含分布式电源的配电网供电恢复的多代理方法[J]. 电力系统自动化, 2007, 31 (10): 61- 65, 81.
	WANG Shouxiang, LI Xiaojing, XIAO Zhaoxia, et al. Multi-agent approach for service restoration of distribution system containing distributed generations[J]. Automation of Electric Power Systems, 2007, 31 (10): 61- 65, 81.
11	CHEN C, WANG J H, QIU F, et al. Resilient distribution system by microgrids formation after natural disasters[J]. IEEE Transactions on Smart Grid, 2016, 7 (2): 958- 966. DOI
12	XU Y L, LIU W X. Novel multiagent based load restoration algorithm for microgrids[J]. IEEE Transactions on Smart Grid, 2011, 2 (1): 152- 161. DOI
13	WANG Z Y, CHEN B K, WANG J H, et al. Networked microgrids for self-healing power systems[J]. IEEE Transactions on Smart Grid, 2016, 7 (1): 310- 319. DOI
14	FARZIN H, FOTUHI-FIRUZABAD M, MOEINI-AGHTAIE M. Enhancing power system resilience through hierarchical outage management in multi-microgrids[J]. IEEE Transactions on Smart Grid, 2016, 7 (6): 2869- 2879. DOI
15	ARIF A, WANG Z Y. Networked microgrids for service restoration in resilient distribution systems[J]. IET Generation, Transmission & Distribution, 2017, 11 (14): 3612- 3619.
16	RESENDE F O, GIL N J, PEÇAS LOPES J A. Service restoration on distribution systems using Multi-MicroGrids[J]. European Transactions on Electrical Power, 2011, 21 (2): 1327- 1342. DOI
17	姚维强, 周健, 时珊珊, 等. 基于合作博弈的多微电网系统灾后恢复决策模型[J]. 电工电能新技术, 2021, 40 (3): 32- 38.
	YAO Weiqiang, ZHOU Jian, SHI Shanshan, et al. Decision-making model of restoration of multi-microgrid system after disaster based on cooperative game[J]. Advanced Technology of Electrical Engineering and Energy, 2021, 40 (3): 32- 38.
18	LI W G, LI Y, CHEN C, et al. A full decentralized multi-agent service restoration for distribution network with DGs[J]. IEEE Transactions on Smart Grid, 2020, 11 (2): 1100- 1111. DOI
19	ZADSAR M, HAGHIFAM M R, MIRI LARIMI S M. Approach for self-healing resilient operation of active distribution network with microgrid[J]. IET Generation, Transmission & Distribution, 2017, 11 (18): 4633- 4643.
20	CARTER D, SAUCEDO D, ZOELLIC J, et al. Final project report: demonstrating a secure, reliable, low-carbon community microgrid at the Blue Lake Rancheria[R/OL]. (2019-01-31) [2024-05-10]. https:// www.energy.ca.gov/publications/2019/demonstrating-secure-reliable-low-carbon-community-microgrid-blue-lake-rancheria.
21	ZHU S Y, WANG Y, XU Y, et al. Critical load restoration in urban distribution system considering multiple participants[C]//2021 IEEE 4th International Electrical and Energy Conference (CIEEC). Wuhan, China. IEEE, 2021.
22	TAN Z F, ZHONG H W, WANG J X, et al. Enforcing intra-regional constraints in tie-line scheduling: a projection-based framework[J]. IEEE Transactions on Power Systems, 2019, 34 (6): 4751- 4761. DOI
23	袁泉, 孙宇军, 张蔷, 等. 基于日前调度时段组合的联络线功率可行域分析[J]. 电网技术, 2023, 47 (2): 636- 647.
	YUAN Quan, SUN Yujun, ZHANG Qiang, et al. Feasible region of Tie-line capacity based on combination of day-ahead dispatching time intervals[J]. Power System Technology, 2023, 47 (2): 636- 647.
24	张怀宇, 夏清, 张丙金, 等. 基于全局向局部运行空间投影的多级调度协同模式[J]. 电力系统自动化, 2024, 48 (11): 143- 152.
	ZHANG Huaiyu, XIA Qing, ZHANG Bingjin, et al. Multi-level scheduling cooperative mode based on projection from global to local operating space[J]. Automation of Electric Power Systems, 2024, 48 (11): 143- 152.
25	张天策, 李庚银, 王剑晓, 等. 基于可行域投影理论的新能源电力系统协同运行方法[J]. 电工技术学报, 2024, 39 (9): 2784- 2796.
	ZHANG Tiance, LI Gengyin, WANG Jianxiao, et al. Coordinated operation method of renewable energy power systems based on feasible region projection theory[J]. Transactions of China Electrotechnical Society, 2024, 39 (9): 2784- 2796.

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