Shared Energy Storage Optimization Considering Electricity Price and PV Output Uncertainty

2023 5th Asia Energy and Electrical Engineering Symposium (AEEES) Pub Date : 2023-03-23 DOI:10.1109/AEEES56888.2023.10114335

Y. Chen, Ziyu Zhu, Huijie Lin, Chenbo Xu, Yaojie Sun, Yu Wang

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Abstract

The consumption of renewable energy is driving the development of energy storage technology. Shared energy storage (SES) is proposed to solve the problem of low energy storage penetration rate and high energy storage cost. Therefore, it is necessary to study the profit distribution and scheduling optimization of SES. This study proposes a SES-Prosumers model, using chance constraint and robust optimization to cope with uncertainty in PV generation and electricity price, respectively. Then, the SES-Prosumers cooperative optimization model is established based on Nash negotiation theory. The original Nash negotiation problem is equivalently transformed into the SES-Prosumers system benefit maximization subproblem and the energy trading negotiation subproblem. Finally, the alternating directional multiplier method (ADMM) is used to solve these two subproblems in a distributed manner to protect the privacy of each participant. The simulation results show that the proposed strategy can effectively improve the operational benefits of each subject and its ability to deal with uncertain risks.

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可再生能源的消费推动着储能技术的发展。为了解决储能普及率低、储能成本高的问题，提出了共享储能(SES)。因此，有必要对SES的利润分配和调度优化进行研究。本文提出了一个SES-Prosumers模型，分别使用机会约束和鲁棒优化来应对光伏发电和电价的不确定性。然后，基于纳什协商理论建立了ses -产消合作优化模型。将原来的纳什协商问题等价地转化为系统利益最大化子问题和能源交易协商子问题。最后，采用交替方向乘子法(ADMM)对这两个子问题进行分布式求解，以保护每个参与者的隐私。仿真结果表明，该策略能有效提高各主体的作战效益和应对不确定风险的能力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2023 5th Asia Energy and Electrical Engineering Symposium (AEEES)

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