Cooperative game-based energy storage planning for wind power cluster aggregation station

Zhu, Weimin; Xu, Xiaochun; Ding, Bo; Zhang, Zhen; Gao, Qianqian

doi:10.1016/j.egyr.2024.03.056

Energy Reports

2024

DOI: 10.1016/j.egyr.2024.03.056

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Cooperative game-based energy storage planning for wind power cluster aggregation station

Weimin Zhu,

Xiaochun Xu,

Bo Ding

et al.

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Cited by 4 publications

References 17 publications

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Government regulation, time-of-use tariff and flexibility improvement of power system: A tripartite evolutionary game analysis

Li,

Zhou,

et al. 2024

Journal of Energy Storage

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Government regulation, time-of-use tariff and flexibility improvement of power system: A tripartite evolutionary game analysis

Li,

Zhou,

et al. 2024

Journal of Energy Storage

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A novel integrated marginal cost model of multi-type energy storage in diversified-scenario power ancillary service market under the new-type power system

Zhang,

Li,

et al. 2025

Journal of Energy Storage

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Stochastic optimal allocation of grid-side independent energy storage considering energy storage participating in multi-market trading operation

Xu,

Wang,

Zhu

et al. 2024

AIP Advances

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The integration of large-scale intermittent renewable energy generation into the power grid imposes challenges to the secure and economic operation of the system, and energy storage (ES) can effectively mitigate this problem as a flexible resource. However, the conventional ES allocation is mostly planned to meet the regulation demands of individual entities, which is likely to result in low utilization of ES and difficult to recover the investment cost. Therefore, a two-stage stochastic optimal allocation model for grid-side independent ES (IES) considering ES participating in the operation of multi-market trading, such as peak-valley arbitrage, frequency regulation, and leasing, is proposed in this paper to improve the comprehensive benefits and utilization rate of ES. The first stage aims to allocate IES and develop a systematic scheduling plan based on the forecast of wind power output and load demand, while the second stage responds to the uncertainty of wind power output by re-dispatching generating units and invoking ES power leased by wind farms. Then, a two-layer loop iterative solution algorithm based on the Benders decomposition is formed to effectively solve the proposed model. Finally, the approach developed in this paper is applied to a modified IEEE RTS-79 test system, and the results verify that it is both feasible and effective.

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Cooperative game-based energy storage planning for wind power cluster aggregation station

Cited by 4 publications

References 17 publications

Government regulation, time-of-use tariff and flexibility improvement of power system: A tripartite evolutionary game analysis

Government regulation, time-of-use tariff and flexibility improvement of power system: A tripartite evolutionary game analysis

A novel integrated marginal cost model of multi-type energy storage in diversified-scenario power ancillary service market under the new-type power system

Stochastic optimal allocation of grid-side independent energy storage considering energy storage participating in multi-market trading operation

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