Hierarchical optimization of pumped hydro storage and electrochemical energy storage for new energy accommodation

2021 IEEE Sustainable Power and Energy Conference (iSPEC) Pub Date : 2021-12-23 DOI:10.1109/iSPEC53008.2021.9735974

Shiyi Ma, Boyu Zhou, Xin-lei Wang, T. Xu, Fan Yang, Linjun Shi, Feng Wu, Yang Li

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Abstract

Due to the output characteristics of wind power and photovoltaic power, large-scale access to wind power and photovoltaic power in the grid will lead to wind and photovoltaic power curtailment. Therefore, it is necessary to use pumped hydro storage and electrochemical energy storage to consume new energy. This study proposes a hierarchical optimization model of pumped hydro storage and electrochemical energy storage in synergistic accommodation of new energy. The upper model is the optimization of pumped storage power station, and the lower model is the optimization of electrochemical energy storage, both aiming to minimize the wind and photovoltaic power curtailment. By rationally arranging pumped hydro storage operation and configuring electrochemical energy storage capacity, the power curtailment can be reduced, thereby increasing the rate of new energy accommodation. The data of a certain power grid’s estimated wind and photovoltaic power curtailment in 2025 is selected for simulation, and the CPLEX solver is used to solve the problem. The simulation results verify the feasibility and effectiveness of the proposed model and solution method.

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面向新能源调节的抽水蓄能和电化学蓄能分层优化

由于风电和光伏的输出特性，风电和光伏在电网中的大规模接入将导致风电和光伏的弃电。因此，有必要利用抽水蓄能和电化学储能来消耗新能源。本研究提出了新能源协同调节下抽水蓄能与电化学蓄能的分层优化模型。上模型为抽水蓄能电站优化，下模型为电化学储能优化，均以最小化风电和光伏弃电为目标。通过合理安排抽水蓄能运行，配置电化学储能容量，可以减少弃电，从而提高新能源入纳率。某电网的数据估计风力和光伏发电缩减2025年选择模拟,最大化策略解算器是用来解决这个问题。仿真结果验证了所提模型和求解方法的可行性和有效性。

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2021 IEEE Sustainable Power and Energy Conference (iSPEC)

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