考虑风光消纳的储能系统容量优化配置及运行策略研究

doi:10.19799/j.cnki.2095-4239.2024.0165

摘要/Abstract

摘要：

“双碳”背景下，综合考虑储能系统容量配置方法和运行策略，有助于提高风光可再生能源消纳率、保障系统经济性和安全运行。在储能系统规划阶段，针对风光协同消纳的不同应用场景，本文提出一种基于运行成本考虑的储能系统容量优化配置方法。以弃风、弃光和储能投资成本之和最小为目标函数，考虑功率平衡、支路潮流以及火电、风电和光伏出力等构建约束条件，对不同场景下储能系统容量进行规划，从而减少弃风弃光，实现对风光可再生能源的消纳。在储能系统实际运行阶段，针对储能系统SOC均衡度较差和运行策略实现较难的问题，提出储能系统功率优化分配双层运行策略。根据调度系统为消纳风光等可再生能源下发的储能系统功率指令，在上层基于储能电池子系统剩余电量(state of charge, SOC)和充放电能力选择最优充放电电池子系统，在下层以电池单元SOC均衡为目标实现功率优化分配，并基于AOE(activity on edge)控制组态通过Excel编写配置文件实现该策略，具有使用难度低、编写简单、控制过程形象直观、计算与运行效率高等优点，对减缓电池老化、降低用户运行策略实现难度、有效消纳风光可再生能源具有重要意义。

关键词: 储能系统, 容量优化配置, 运行策略, 剩余电量均衡, AOE

Abstract:

Under the background of dual carbon, the comprehensive consideration of energy storage system capacity allocation method and operation strategy can help to improve the rate of wind and solar renewable energy consumption and guarantee the economic and safe operation of the system. In the planning stage of the energy storage system, this paper proposes an optimization configuration strategy for the energy storage system that takes into account operating costs for different wind-landscape collaborative consumption scenarios. Firstly, an objective function is established to minimize operating costs, including wind and light abandonment, as well as energy storage investment costs. Secondly, all system constraints are considered. Finally, the energy storage capacity is planned for different scenarios to reduce wind and solar abandonment and increase renewable energy absorption. During the energy storage system's operation stage, a double-layer operation strategy is proposed to address the poor state of charge (SOC) balance and implementation difficulties. In the upper layer, the optimal battery subsystem for charging and discharging is selected based on the SOC and charging/discharging capacity of the energy storage battery subsystem. In the lower layer, power is optimized with the goal of achieving SOC balance for the battery unit. Based on the AOE control configuration, the strategy is implemented by creating a configuration file using Excel. It has the advantages of low difficulty of use, simple writing, intuitive control process, high calculation and operation efficiency, which is of great significance for slowing down the aging of the battery, reducing the difficulty of realizing the operation strategy of the user, and effectively consuming the wind-scenery renewable energy.

Key words: energy storage system, capacity optimization allocation, operation strategy, SOC balance, AOE

中图分类号:

TM 912

栗占伟, 樊东方, 曾超, 何雯倩, 何金. 考虑风光消纳的储能系统容量优化配置及运行策略研究[J]. 储能科学与技术, 2024, 13(8): 2713-2725.

Zhanwei LI, Dongfang FAN, Chao ZENG, Wenqian HE, Jin HE. Research on capacity optimization configuration and operation strategy of energy storage system considering wind and solar consumption[J]. Energy Storage Science and Technology, 2024, 13(8): 2713-2725.

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编号	走廊	电抗/p.u.	容量/MW	已有数目	编号	走廊	电抗/p.u.	容量/MW	已有数目
1	1-2	0.40	100	1	9	2-6	0.30	100	3
2	1-3	0.38	100	0	10	3-4	0.59	82	0
3	1-4	0.60	80	1	11	3-5	0.20	100	2
4	1-5	0.20	100	1	12	3-6	0.48	100	0
5	1-6	0.68	70	0	13	4-5	0.63	75	0
6	2-3	0.20	100	2	14	4-6	0.30	100	0
7	2-4	0.40	100	1	15	5-6	0.61	78	0
8	2-5	0.31	100	0

发电厂节点	最小出力/MW	最大出力/MW	爬坡率/(MW/h)
1	81.675	181.5	18.15
3	269.775	599.5	59.95
6	24.750	55.0	5.50

负荷节点	最大负荷/MW	负荷节点	最大负荷/MW
1	80	4	160
2	120	5	240
3	40	6	0

时间/h	1	2	3	4	5	6	7	8
负荷/MW	0.867	0.843	0.815	0.789	0.762	0.748	0.753	0.763
光伏出力/MV	0	0	0	0	0.1	0.15	0.2	0.25
风电出力/MV	1.000	0.923	0.887	0.906	0.813	0.691	0.651	0.538

时间/h	9	10	11	12	13	14	15	16
负荷/MW	0.795	0.894	0.951	0.996	0.977	0.973	1.000	0.986
光伏出力/MV	0.5	0.7	0.9	0.9	0.95	0.95	0.9	0.7
风电出力/MV	0.437	0.340	0.285	0.239	0.230	0.285	0.314	0.418

时间/h	17	18	19	20	21	22	23	24
负荷/MW	0.985	0.980	0.936	0.914	0.933	0.944	0.955	0.933
光伏出力/MV	0.5	0.3	0.1	0	0	0	0	0
风电出力/MV	0.553	0.613	0.650	0.846	0.756	0.747	0.667	0.601

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