考虑共享储能的配电网多主体协同调度策略
作者:
作者单位:

(1.国网福建省电力有限公司经济技术研究院,福建 福州 350011;2.福州大学电气工程与自动化学院,福建 福州 350108)

作者简介:

通讯作者:

刘丽军(1982—),女,博士,副教授,主要从事电力系统规划与运行、分布式发电技术等研究;E?mail:liulijun0120@fzu.edu.cn

中图分类号:

TM732

基金项目:

国网福建省电力有限公司经济技术研究院研究专项(B3130N22001Q)


Multi‑agent cooperative dispatching strategy for distribution network considering shared energy storage
Author:
Affiliation:

(1.Economic Technology Research Institute,State Grid Fujian Electric Power Co., Ltd., Fuzhou 350011, China; 2. College of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350108, China)

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    摘要:

    针对目前配网侧储能商运营模式单一、盈利方法模糊以及利用率低等问题,提出一种兼具电能自营和储能共享的储能商运营模式。首先,建立考虑共享储能的配电网多主体协同调度模型,该模型兼顾配电网、负荷聚合商和储能商的利益诉求,同时有效降低配电网净负荷峰谷差,缓解主网调峰压力。然后,模型实施两阶段优化,第1阶段为储能租赁容量优化,即配电网按需租赁储能进行削峰填谷,使租赁成本和净负荷方差最小;第2阶段为多主体协同优化,即储能商根据分时电价利用剩余容量“低储高放”套利,与负荷聚合商共同响应调峰,使配电网成本最低、负荷聚合商收益最大以及储能商套利最多,实现各主体互利共赢。最后,通过算例分析验证该文所提方法的有效性。

    Abstract:

    In view of the current problems of only single operation mode, vague profit method, and low utilization rate of the energy storage business for power grid, a business operation mode combining self-operated electricity and shared energy storage is proposed. First, a multi-agent collaborative scheduling model of the power distribution network considering shared energy storage is established. This model takes into account the interests of the power distribution network, load aggregators, and energy storage providers, while effectively reducing the peak-to-valley difference of the net load and hence relieving the peak shaving pressure of the power grid. Then, the model implements a two-stage optimization. The first stage is the leasing optimization of energy storage capacity, that is, the power distribution network leases energy storage on demand for peak shaving and valley filling, minimizing leasing costs and net load variance. The second stage is multi-agent collaborative optimization, where energy storage providers arbitrage by using remaining capacity to "store at low prices and discharge at high prices" based on time-of-use electricity prices, and respond to peak shaving together with load aggregators. This minimizes the cost of the power distribution network, maximizes the benefits of load aggregators, and maximizes the arbitrage of energy storage providers, achieving mutual benefit and win-win results for all parties. Finally, the effectiveness of the proposed method is verified through example analysis.

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张林垚,吴桂联,廖锦霖,等.考虑共享储能的配电网多主体协同调度策略[J].电力科学与技术学报,2024,39(2):44-52.
ZHANG Linyao, WU Guilian, LIAO Jinlin, et al. Multi‑agent cooperative dispatching strategy for distribution network considering shared energy storage[J]. Journal of Electric Power Science and Technology,2024,39(2):44-52.

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  • 在线发布日期: 2024-05-29
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