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Determination of optimal battery energy storage system capacity for commercial electricity consumers with photovoltaic systems by integrating battery aging and PV forecast uncertainty
IEEJ Transactions on Electrical and Electronic Engineering ( IF 1.0 ) Pub Date : 2020-12-10 , DOI: 10.1002/tee.23289
Pongdanai Chayarun 1 , Kenichi Kawabe 1 , Toshiya Nanahara 1
Affiliation  

A battery energy storage system (BESS) is a promising technology to augment the benefits provided by photovoltaic (PV) power generation. This study proposes a method to evaluate the optimal capacity of a BESS for commercial electricity consumers with PV systems. This method considers the aging effect of a BESS and the PV output uncertainty through linear programming and a real‐time control method. The benefit of BESS installation is assessed through cost–benefit analysis by using the net present value (NPV) in the determination of the optimal BESS capacity. Subsequently, the method is applied to the numerical simulation of a commercial load. In the numerical simulation, an optimal capacity is demonstrated at which the benefits of the BESS are maximum, especially the NPV. In addition, we highlight the impact of PV output uncertainty on the benefits of the BESS and verify the effectiveness of the proposed real‐time control method in mitigating this impact. The importance of considering the degradation of a BESS in the evaluation of the optimal capacity is also discussed. © 2020 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.

中文翻译:

通过综合电池老化和PV预测不确定性来确定具有光伏系统的商用电力消费者的最佳电池储能系统容量

电池储能系统(BESS)是一种有前途的技术,可以增加光伏(PV)发电所带来的好处。这项研究提出了一种方法,用于评估具有光伏系统的商业用电商的BESS最佳容量。该方法通过线性编程和实时控制方法考虑了BESS的老化效应和PV输出的不确定性。通过确定最佳BESS容量时使用净现值(NPV)进行成本效益分析,可以评估BESS安装的好处。随后,该方法被应用于商业负荷的数值模拟。在数值模拟中,展示了最佳容量,在该容量下BESS的收益最大,尤其是NPV。此外,我们强调了光伏输出不确定性对BESS收益的影响,并验证了所提出的实时控制方法在减轻这种影响方面的有效性。还讨论了在评估最佳容量时考虑BESS降级的重要性。©2020日本电气工程师学会。由Wiley Periodicals LLC发布。
更新日期:2021-01-25
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