Energy Storage State-of-Charge Market Model
Energy Storage State-of-Charge Market Model
复制标题
储能充电状态市场模型
DOI：
10.1109/tempr.2023.3238135
复制
发表时间：
2022
期刊：
影响因子：
--
通讯作者：
Bolun Xu
中科院分区：
文献类型：
--
作者：
Ningkun Zheng;Xin Qin;Di Wu;Gabe Murtaugh;Bolun Xu
本文介绍了一种新的模型，并合理化的招标和结算的储能资源在批发能源市场。该模型中的充电和放电出价取决于存储荷电状态（SoC）。在这种情况下，存储参与者为每个SoC段提交不同的投标。系统运营商监控存储SoC，并在市场清算中相应地更新其出价。结合使用动态规划的最优投标设计算法，我们的论文表明，SoC细分市场模型提供了更准确的表示能源存储的机会成本相比，现有的基于电力的投标模型。新模型还捕捉了储能固有的SoC依赖性操作特性。我们基准的SoC细分市场模型对现有的单段模型在价格接受者和价格影响者的模拟。仿真结果表明，与现有的基于电量的竞价模型相比，在价格接受者案例中，该模型使利润提高了10-56%;在价格影响者案例中，该模型还使总系统存储成本降低了约5%，并有助于降低价格波动。
This paper introduces and rationalizes a new model for bidding and clearing energy storage resources in wholesale energy markets. Charge and discharge bids in this model depend on the storage state-of-charge (SoC). In this setting, storage participants submit different bids for each SoC segment. The system operator monitors the storage SoC and updates their bids accordingly in market clearings. Combined with an optimal bidding design algorithm using dynamic programming, our paper shows that the SoC segment market model provides more accurate representations of the opportunity costs of energy storage compared to existing power-based bidding models. The new model also captures the inherent SoC-dependent operational characteristics of energy storage. We benchmark the SoC segment market model against an existing single-segment model in price-taker and price-influencer simulations. The simulation results show that compared to the existing power-based bidding model, the proposed model improves profits by 10–56% in the price-taker case study; the model also improves total system cost reduction from storage by around 5%, and helps reduce price volatilities in the price-influencer case study.
储能参与批发市场：能源状态管理的影响
影响因子：
3.8
作者：
Bhattacharjee, Shubhrajit;Sioshansi, Ramteen;Zareipour, Hamidreza
通讯作者：
Zareipour, Hamidreza
来自商用存储参与者的 SoC 相关投标的市场出清
影响因子：
6.6
作者：
Chen, Cong;Tong, Lang
通讯作者：
Tong, Lang