PLANNING OF SHARED HYBRID ENERGY STORAGE POWER STATION BASED ON COOPERATIVE GAME

被引：0

作者：

Gao, Qianqian ^{[1
]}

Shan, Yuqi ^{[1
]}

Zhu, Xiaorong ^{[1
]}

机构：

[1] Department of Electrical Engineering, North China Electric Power University（Baoding）, Baoding

来源：

Taiyangneng Xuebao/Acta Energiae Solaris Sinica | 2024年 / 45卷 / 12期

关键词：

cooperative game; distributed power generation; energy storage; improved Shapley value method; load shifting and peak smoothing; model predictive control（MPC）; shared economy;

D O I：

10.19912/j.0254-0096.tynxb.2023-1182

中图分类号：

学科分类号：

摘要：

To address the issues of suboptimal energy storage utilization rates and elevated per-unit construction costs，the operational characteristics of various types of energy storage systems were examined in the present study. A planning framework was established for a shared hybrid energy storage power station，predicated on cooperative game theory. Firstly，charging and discharging strategies were formulated：accumulators useding load shifting and peak smoothing，while supercapacitors utilizing model predictive control. Subsequently，a two-level planning model for energy storage power stations was established，and an evaluation index for the results of energy storage configuration was constructed. Finally，the benefits of each new energy station were allocated based on the improved Shapley value method，and the impact of the cost of energy storage investment on the results was analyzed. The example results indicate that the proposed transaction model improves energy storage utilization rates and reduces investment costs for new energy stations in storage systems. © 2024 Science Press. All rights reserved.

引用

页码：509 / 519

页数：10

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