体系架构下的多微电网分布式韧性增强策略

doi:10.11930/j.issn.1004-9649.202304051

中国电力 ›› 2023, Vol. 56 ›› Issue (12): 87-99.DOI: 10.11930/j.issn.1004-9649.202304051

• 电力系统弹性提升关键技术 • 上一篇下一篇

体系架构下的多微电网分布式韧性增强策略

林林馨妍(), 朱俊澎(), 袁越()

河海大学能源与电气学院，江苏南京　211100

收稿日期:2023-04-13 接受日期:2023-10-18 出版日期:2023-12-28 发布日期:2023-12-28
作者简介:林林馨妍（1999—），女，硕士研究生，从事分布式发电与微网技术研究，E-mail： llxy@hhu.edu.cn
朱俊澎（1990—），男，通信作者，博士，副教授，从事主动配电网弹性提升、微电网的规划与运行控制研究，E-mail： jzhu@hhu.edu.cn
袁越（1966—），男，博士，教授，从事电力系统运行与控制、可再生能源发电系统、智能电网与微网技术研究，E-mail： yyuan@hhu.edu.cn
基金资助:
江苏省自然科学基金资助项目（网元对等的配电网网格虚拟区域中心协同配置及运行控制技术研究，BK20221165）。

A Distributed Resilience Enhancement Strategy for Multi-microgrids Based on System of Systems Architecture

Linxinyan LIN(), Junpeng ZHU(), Yue YUAN()

College of Energy and Electrical Engineering, Hohai University, Nanjing 211100, China

Received:2023-04-13 Accepted:2023-10-18 Online:2023-12-28 Published:2023-12-28
Supported by:
This work is supported by Natural Science Foundation of Jiangsu Province (Research on Collaborative Configuration and Operation of Virtual Area Center in Distribution Network with Elements-Network Equivalent Relation, No.BK20221165).

摘要/Abstract

摘要：

为了提高多微电网系统应对极端场景的能力，提出一种体系架构下多微电网分布式韧性增强策略。首先，基于体系（system of systems，SoS）架构对多微电网系统的能量互济过程进行建模，并采用分布式优化算法进行求解，保障了用户信息的私密性。其次，将经济性最优与满足频率稳定性共同作为目标，优化求解系统最小负荷切除问题，在追求系统整体运行效果的同时，更具针对性地满足子微电网的内部需求。最后，基于动态乘子更新策略的同步型交替方向乘子法解决分布式算法参数选择的难题，提升算法的收敛性和实用性。算例分析验证了所提模型与算法的有效性。

关键词: 多微电网, 体系, 分布式能量管理, 韧性

Abstract:

To enhance the ability of multi-microgrid systems to cope with extreme scenarios, a distributed resilience enhancement strategy for multi-microgrids based on system of systems(SoS) architecture is proposed. Firstly, the energy exchange process of the multi-microgrid systems is modeled based on the SoS architecture, and the distributed optimization algorithm is used to solve the model, which ensures the privacy of user information. Secondly, the minimum load-shedding problem of the system is solved with both economic optimality and frequency stability as the goals, and the internal needs of the sub-microgrids are specifically met while pursuing the overall operation effect of the system. Finally, the synchronous alternating direction multiplier method based on a dynamic multiplier update strategy is adopted to solve the problem of parameter selection of the distributed algorithm, thus improving the convergence and practicability of the algorithm. Case study verified the effectiveness of the proposed model and algorithm.

Key words: multi-microgrid, system of systems, distributed energy management, resilience

林林馨妍, 朱俊澎, 袁越. 体系架构下的多微电网分布式韧性增强策略[J]. 中国电力, 2023, 56(12): 87-99.

Linxinyan LIN, Junpeng ZHU, Yue YUAN. A Distributed Resilience Enhancement Strategy for Multi-microgrids Based on System of Systems Architecture[J]. Electric Power, 2023, 56(12): 87-99.

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链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202304051

https://www.electricpower.com.cn/CN/Y2023/V56/I12/87

图/表 17

图 1 SoS架构示意

Fig.1 SoS architecture diagram

图 2 典型系统性能演化曲线

Fig.2 Typical system performance evolution curve

图 3 模型求解的整体流程

Fig.3 The overall process for model solution

图 4 多微电网拓扑结构

Fig.4 Topology of multi-microgrids

图 5 多微电网风光荷预测曲线

Fig.5 Wind-solar-load forecast curves of multi-microgrids

表 1 多微电网系统运行费用与功率特性

Table 1 Operating cost and power characteristics of multi-microgrid system

类型	参数	m1	m2	m3
柴油发电机	功率区间/kW	0~50	0~60	0~15
	爬坡功率/kW	15	20	15
	成本系数/(元·(kW·h)^–1)	1.5	1.4	1.4
储能	充放电功率区间/kW	0~30	0~30	0~30
	成本系数/(元·(kW·h)^–1)	0.4	0.3	0.3
	初始SOC/(kW·h)	180	180	180
负荷	负荷转移成本系数/(元·(kW·h)^–1)	4	4	4
负荷	切负荷成本系数/(元·(kW·h)^–1)	30	30	30

图 6 MPC滚动优化过程

Fig.6 The rolling optimization process of MPC

图 7 设备停运率20%时韧性供电率比较

Fig.7 Comparison of resilient power supply rates at 20% equipment outage rate

图 8 设备停运率50%时韧性供电率比较

Fig.8 Comparison of resilient power supply rates at 50% equipment outage rate

图 9 设备停运率80%时韧性供电率比较

Fig.9 Comparison of resilient power supply rates at 80% equipment outage rate

图 10 在12：00时不同设备停运率下的韧性供电率比较

Fig.10 Comparison of resilient power supply rates under different equipment outage rates at 12 am

图 11 2种模型功率交换对比

Fig.11 Power exchange comparison of two models

表 2 韧性涌现提升率和总成本

Table 2 Resilience emergent lift rate and total cost

项目		m1	m2	m3
独立运行	韧性指标/(kW·h)	1348.30	2201.60	518.10
独立运行	总成本/元	33893.41	77694.10	13158.60
网络化微网	韧性指标/(kW·h)	1947.80	2842.70	903.50
	韧性涌现提升率/%	36.87	39.43	27.63
	总成本/元	14663.80	38578.10	2587.60
本文方法	韧性指标/(kW·h)	2119.40	3479.20	967.40
	韧性涌现提升率/%	30.87	51.14	17.99
	总成本/元	14714.60	40731.50	2673.30

图 12 极端情况冲击下的韧性供电率对比

Fig.12 Comparison of resilient power supply rates under extreme shocks

图 13 极端情况冲击下的RoCoF对比

Fig.13 Comparison of RoCoF under extreme shocks

图 14 不同乘子更新策略下的 ADMM 收敛过程

Fig.14 Convergence process of ADMM with different multiplier update strategies

表 3 分布式优化和集中式优化结果对比

Table 3 Comparison of distributed optimization and centralized optimization

类型	求解时间/s	总韧性指标/(kW·h)	总成本/元
分布式优化	12.18	6566.15	58119.53
集中式优化	2.85	6569.72	58027.66

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A Distributed Resilience Enhancement Strategy for Multi-microgrids Based on System of Systems Architecture

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