Abstract With the rapid development of energy storage (ES) technology, it has gradually become a vital facility to cope with the intermittent renewable generation and reduce the users’ electricity purchase cost. However, the limited application of the ES has suffered from its high capital cost. This paper proposes an approach of optimal planning the shared energy storage based on cost-benefit analysis to minimize the electricity procurement cost of electricity retailers. First, the multi-time scale electricity purchase model is established. Then the retailers are screened and classified based on the proposed matching degree function to select the collective of retailers, which maximizes the profits of planning the shared ES. The life cycle cost model and the equivalent cycle life method are used to evaluate the benefit of investing the shared ES. The benefit distribution among the collective is conducted based on the contribution degree of each retailer. In the case study, the optimization results of the shared ES for high-matching and low-matching groups are compared in detail. The simulation results illustrate that the costs are reduced by 8.83% and 8.03% respectively for the two groups of electricity retailers by the proposed approach. Results also verify that ES can effectively reduce the cost of retailers, and high matching degree can be used as the selection criterion to obtain a greater benefit of the shared ES.

中文翻译：

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电力零售商共享储能优化规划及投资效益分析

摘要 随着储能（ES）技术的快速发展，储能逐渐成为应对间歇性可再生能源发电、降低用户购电成本的重要设施。然而，ES 的有限应用受到其高资本成本的影响。本文提出了一种基于成本效益分析的共享储能优化规划方法，以最小化电力零售商的电力采购成本。首先，建立多时间尺度的购电模型。然后根据建议的匹配度函数对零售商进行筛选和分类，以选择零售商集合，从而最大化规划共享 ES 的利润。生命周期成本模型和等效循环生命周期法用于评估投资共享 ES 的收益。集体之间的利益分配是根据每个零售商的贡献程度进行的。在案例研究中，详细比较了共享 ES 对高匹配组和低匹配组的优化结果。仿真结果表明，采用所提出的方法，两组电力零售商的成本分别降低了8.83%和8.03%。结果也验证了 ES 可以有效降低零售商的成本，并且可以将高匹配度作为选择标准，以获得更大的共享 ES 收益。仿真结果表明，采用所提出的方法，两组电力零售商的成本分别降低了8.83%和8.03%。结果也验证了 ES 可以有效降低零售商的成本，并且可以将高匹配度作为选择标准，以获得更大的共享 ES 收益。仿真结果表明，采用所提出的方法，两组电力零售商的成本分别降低了8.83%和8.03%。结果也验证了 ES 可以有效降低零售商的成本，并且可以将高匹配度作为选择标准，以获得更大的共享 ES 收益。