电源学报

基于云边协同含用户侧微网群的配电系统限制风险供电恢复方法

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时志雄 ¹ , 张智泉 ² , 李振坤 ² , 杨秀 ² , 柳劲松 ³

电源学报 | 电力系统 2025,23(3): 318-329

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电源学报 |电力系统 2025 , 23 (3) : 318 -329

基于云边协同含用户侧微网群的配电系统限制风险供电恢复方法

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时志雄¹, 张智泉², 李振坤², 杨秀², 柳劲松³

作者信息

^1.国网上海市电力公司，上海　200437

^2.上海电力大学电气工程学院，上海　200090

^3.国网上海市电力公司电力科学研究院，上海　200437

通讯作者:

李振坤（1982—　），男，通信作者，博士，教授。研究方向：配电系统自愈恢复方法。E-mail：lzk021@163.com。

作者简介:

时志雄（1979—　），男，硕士，高级工程师。研究方向：配电系统供电恢复策略。E-mail：2540184375@qq.com。

张智泉（1984—　），男，博士，讲师。研究方向：配电系统优化运行技术。E-mail：zzhiquan@126.com。

杨秀（1975—　），男，博士，教授。研究方向：配电系统运行控制技术。E-mail：603933500@qq.com。

柳劲松（1980—　），男，硕士，高级工程师。研究方向：配电系统故障恢复技术。E-mail：liujinsong@163.com。

Restoration Method for Limited Risk Power Supply in Distribution System Based on Cloud-edge Collaboration with User-side Microgrid Group

Zhixiong SHI¹, Zhiquan ZHANG², Zhenkun LI², Xiu YANG², Jinsong LIU³

Affiliations

^1.State Grid Shanghai Municipal Electric Power Company, Shanghai 200437, China

^2.College of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China

^3.Electric Power Research Institute, State Grid Shanghai Municipal Electric Power Company, Shanghai 200437, China

出版时间: 2025-05-30 doi: 10.13234/j.issn.2095-2805.2025.3.318

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摘要

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随着我国“双碳”目标的稳步推进，越来越多以可再生能源为主的用户侧微网接入配电系统，使得配电系统在运行方式和方法上发生极大变化。特别是配电系统发生故障时，如何高效利用这些微网为配电系统提供有功支撑将是提升新型配电系统区域自治能力和安全可靠运行水平的关键因素之一，然而，现有配电自动化水平无法满足大规模用户侧微网接入后参与实时有功支撑的需求，此外，微网内可再生能源和负载的不确定性给配电系统供电恢复带来了挑战。基于云边协同架构的出现，考虑到边缘计算优势，提出了一种考虑微网群内可再生能源和负载不确定性的限制风险供电恢复方法，其中，风险用条件风险值来建模与表征。首先，提出了基于云边协同技术含微网群配电系统的供电恢复架构，建立了微网支撑功率模型；其次，以中心云供电恢复成本最小和边缘云微网运营商收益最大为目标，建立供电恢复优化模型，其中每个边缘云微网运营商可单独做出供电恢复决策，同时中心云统筹安排以确保满足整个系统的风险限制约束；最后，进行仿真分析。结果表明，所提方法能够以较小的风险指数有效地恢复供电，且最大化地降低供电恢复成本，并能较好地提升微网运营商的收益，此外，还证明了云边协同技术提升了供电恢复的灵活性，并有效减轻计算负担。

关键词

云边协同 / 供电恢复 / 微网 / 配电系统 / 边缘云 / 中心云

Abstract

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With the steady advancement of the Dual-carbon goal in China, more and more user-side microgrids which mainly include renewable energy sources are being connected to the distribution system, which makes the operating modes and methods of distribution system change greatly. In particular, when a distribution system failure occurs, how to efficiently use these microgrids to provide active power support for the distribution system will be one of the key factors that promote the regional autonomy capability and the safe and reliable operation level of a novel distribution system. However, the existing distribution automation level cannot meet the demand of massive user-side grid-connected microgrids which participate in the active power support in real time. In addition, the uncertainties in renewable energy sources and loads in microgrids pose a challenge to the power supply restoration in the distribution system. Based on the emergence of cloud-edge collaboration architecture and taking into account the advantage of edge computing, a limited risk power supply restoration method considering uncertainties in renewable energy sources and loads in microgrid group is proposed in this paper, in which the risk is modeled and characterized by conditional value-at-risk. First, the power supply restoration architecture of distribution system with microgrid group based on the cloud-edge collaboration technology is put forward, and a support power model of microgrid is established. Second, with the goal of minimizing the cost of central cloud power supply restoration and maximizing the profit of edge cloud microgrid operator, an optimization model of power supply restoration is established, in which each edge cloud microgrid operator can make power supply restoration decisions independently, and the central cloud makes overall arrangements to ensure that the risk constraints on the whole system are satisfied. Finally, through simulation analysis, results show that the proposed method can effectively restore power at a smaller risk index while maximally reducing the power supply restoration cost, and it can well improve the profit of microgrid operators. Moreover, it is also proved that the cloud-edge collaboration technology can improve the flexibility of power supply restoration and effectively reduce the computational burden.

Key words

Cloud-edge collaboration / power supply restoration / microgrid / distribution system / edge of cloud / center of cloud

引用本文

时志雄, 张智泉, 李振坤, 杨秀, 柳劲松. 基于云边协同含用户侧微网群的配电系统限制风险供电恢复方法. 电源学报, 2025 , 23 (3) : 318 -329 . DOI: 10.13234/j.issn.2095-2805.2025.3.318

Zhixiong SHI, Zhiquan ZHANG, Zhenkun LI, Xiu YANG, Jinsong LIU. Restoration Method for Limited Risk Power Supply in Distribution System Based on Cloud-edge Collaboration with User-side Microgrid Group[J]. Journal of Power Supply, 2025 , 23 (3) : 318 -329 . DOI: 10.13234/j.issn.2095-2805.2025.3.318

基金

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国网上海市电力公司科技资助项目(520940200069)

参考文献

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2025年第23卷第3期

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文章信息

doi: 10.13234/j.issn.2095-2805.2025.3.318

接收时间：2022-04-25
首发时间：2026-10-26
出版时间：2025-05-30

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出版历史

收稿日期：2022-04-25
修回日期：2022-07-21
录用日期：2022-08-02

基金

Science and Technology Project of State Grid Shanghai Municipal Electric Power Company(520940200069)

国网上海市电力公司科技资助项目(520940200069)

作者信息

^1.国网上海市电力公司，上海　200437

^2.上海电力大学电气工程学院，上海　200090

^3.国网上海市电力公司电力科学研究院，上海　200437

通讯作者:

李振坤（1982—　），男，通信作者，博士，教授。研究方向：配电系统自愈恢复方法。E-mail：lzk021@163.com。

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https://castjournals.cast.org.cn/joweb/dyxb/CN/10.13234/j.issn.2095-2805.2025.3.318

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2种不同金属材料的力学参数

科 Family	属数 Number of genus	种数 Number of species	占总种数比例 Percentage of total species (%)	属 Genus	种数 Number of species	占总种数比例 Percentage of total species (%)
鹅膏菌科Amanitaceae	2	11	5.26	鹅膏菌属 Amanita	10	4.78
小菇科 Mycenaceae	2	12	5.74	丝盖伞属 Inocybe	5	2.39
多孔菌科 Polyporaceae	8	14	6.70	蜡蘑属 Laccaria	5	2.39
红菇科 Russulaceae	3	23	11.00	小皮伞属 Marasmius	6	2.87
				小菇属 Mycena	11	5.26
				光柄菇属 Pluteus	5	2.39
				红菇属 Russula	17	8.13
				栓菌属 Trametes	5	2.39

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