%0 Journal Article
%T 获取多场景收益的电网侧储能容量优化配置<br>Optimal Allocation of Grid-Side Energy Storage Capacity to Obtain Multi-Scenario Benefits
%A 余中平
%A 于国康
%A 辛超山
%A 关洪浩
%A 任娟
%A 余金
%A 欧明强
%J Smart Grid
%P 118-129
%@ 2161-8771
%D 2021
%I Hans Publishing
%R 10.12677/SG.2021.112012
%X <div style=\"text-align:justify;\">
	基于其快速调整和灵活性，储能系统很快成为电力系统的重要组成部分。近年来，虽然储能成本有所下降，但是单一应用场景下，储能项目仍然难以有效盈利或在短期内回收成本，因此，考虑多应用场合的储能容量优化配置逐渐受到业界关注。针对当前电网侧储能系统应用场景较为单一，本文提出一种考虑结合分时电价的调峰辅助服务收益的电网侧储能容量配置方法，以考虑储能建造投资、运维成本情况下的调峰收益、峰谷套利、延缓电网设备升级等利益最大化为目标函数，构建储能容量优化配置模型。最后，基于新疆地区电网数据，通过python-gurobi仿真计算得出优化储能额定功率以及容量配置结果，并分析其经济性指标，验证该方法的有效性以及可行性，为电网侧储能项目的投资提供了意见。<br />
Due to its rapid adjustment and flexibility, energy storage systems will soon become an important part of the power system. Although the cost has been reduced, the single application scenario of the energy storage system is still difficult to make profits effectively or recover the cost in the short term. Therefore, the optimal allocation of energy storage capacity has gradually attracted the attention of the industry. In view of the current grid energy storage system, application scenario is relatively single, we propose a grid side energy storage capacity allocation method that takes into account the superlinear benefits of peak regulation auxiliary services combined with TOU (Time of Use), to consider energy storage building investment and operational cost of peak shaving, peak valley arbitrage profits, the delay of benefit maximization as the objective function, such as network equipment upgrades the energy storage capacity of the optimizing configuration model is constructed. Finally, based on the grid data of Xinjiang region, the optimal energy storage rated power and capacity configuration results are obtained through Python-Gurobi simulation calculation, and the economic indicators are analyzed to verify the effectiveness and feasibility of the method, which provides advice for the investment of grid side energy storage projects.
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%K 调峰辅助服务，峰谷套利，容量配置，多场景收益<br>Peak-Shaving Auxiliary Services
%K Peak-Valley Arbitrage
%K Capacity Allocation
%K Multi-Scenario Benefit
%U http://www.hanspub.org/journal/PaperInformation.aspx?PaperID=41692