考虑储能资源聚合参与的电网优化运行与韧性提升策略

doi:10.11930/j.issn.1004-9649.202402073

摘要/Abstract

摘要：

极端天气给新型电力系统的建设与运行带来诸多挑战，电力系统灵活性资源的不断丰富给了电网应对极端天气的新思路。考虑极端条件下储能等资源聚合参与电网负荷恢复的场景，研究了资源聚合参与电网韧性提升的策略方法。首先，基于储能等资源自身的运行状态，提出了资源剩余调节能力模型。然后，构建了计及资源剩余调节能力的资源聚合调控模型，并通过“域”刻画资源聚合体的剩余调节能力与运行功率的关联关系，进一步构建了面向“灾前-灾中-灾后”全阶段的电网优化运行与韧性提升模型。最后，通过算例分析，验证了该策略对电网韧性的提升效果。

关键词: 储能, 资源聚合, 剩余调节能力, 韧性提升

Abstract:

Extreme weather brings many challenges to the construction and operation of new power system, and the continuous enrichment of the flexible resources of power system provides the power grid new ideas to deal with extreme weathers. Considering the scenarios of energy storage and other resources aggregation participating in power grid load recovery under extreme conditions, a study is made on the strategy and method for resource aggregation participating in power grid resilience improvement. Firstly, based on the operation status of energy storage resources, a resource surplus adjustment ability model is proposed. And then, a resource aggregation regulation model is established considering the resource surplus adjustment ability, and through "domain" characterization of the correlation between the surplus adjustment ability of resource aggregate and operation power, a power grid optimization operation and resilience improvement model is further built. Finally, the effectiveness of the proposed strategy for power grid resilience improvement is verified through case study.

Key words: energy storage, resource aggregation, residual regulation capacity, resilience improvement

赖业宁, 孙仲卿, 陆志平, 刘沁. 考虑储能资源聚合参与的电网优化运行与韧性提升策略[J]. 中国电力, 2025, 58(2): 57-65.

Yening LAI, Zhongqing SUN, Zhiping LU, Qin LIU. Power Grid Optimization Operation and Resilience Improvement Strategy Considering the Participation of Energy Storage Resource Aggregation[J]. Electric Power, 2025, 58(2): 57-65.

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链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202402073

https://www.electricpower.com.cn/CN/Y2025/V58/I2/57

图/表 8

图 1 IEEE-33节点系统拓扑结构

Fig.1 Topology of IEEE-33 system

图 2 IEEE-141节点系统

Fig.2 IEEE-141 system

表 1 资源聚合体内的MT配置

Table 1 MT configuration within resource aggregate

编号	节点	P_min/MW	P_max/MW	P_C/(MW·15 min^–1)	功率因数
R_1	13	0.1	0.5	0.2	–0.95~0.95
R_1	28	0.1	0.5	0.2	–0.95~0.95
R_2	8	0.1	0.5	0.2	–0.95~0.95
	13	0.1	0.5	0.2	–0.95~0.95
	19	0.1	0.5	0.2	–0.95~0.95
	24	0.1	0.5	0.2	–0.95~0.95
	28	0.1	0.5	0.2	–0.95~0.95

表 2 资源聚合体内的ESS配置

Table 2 ESS configuration within resource aggregate

编号	节点	P_max/MW	E/(MW·h)	效率/%	SOC范围/%
R_1	10	0.5	1	85	20~80
	14	1.0	2	85	20~80
	25	0.2	1	85	20~80
	27	0.5	1	85	20~80
R_2	25	0.2	1	85	20~80
R_2	27	0.5	1	85	20~80
R_3	5	0.2	1	85	20~80
	10	0.5	1	85	20~80
	14	0.5	2	85	20~80
	20	0.5	1	85	20~80
	25	0.2	1	85	20~80
	27	0.5	1	85	20~80
	32	0.2	0.8	85	20~80

表 3 配电网内可再生能源配置

Table 3 Renewable energy configuration in distribution network

类型	节点	P_max/MW	功率因数
分散式风电	20	1.5	–0.95~0.95
	54	1.5	–0.95~0.95
	90	1.5	–0.95~0.95

图 3 风电出力

Fig.3 Wind power output

图 4 基于域的RDPR表征

Fig.4 Domain-based characterization of the RDPR

图 5 不同算例下负荷状态变化对比

Fig.5 Comparison of load status changes under different calculation examples

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