Optimal sizing and placement of energy storage system in power grids: A state-of-the-art one-stop handbook
Optimal sizing and placement of energy storage system in power grids: A state-of-the-art one-stop handbook
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电网中储能系统的最佳规模和布局：最先进的一站式手册
DOI：
10.1016/j.est.2020.101814
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发表时间：
2020-12
影响因子：
9.4
通讯作者：
Sun Liming
中科院分区：
文献类型：
--
作者：
Yang Bo;Wang Junting;Chen Yixuan;Li Danyang;Zeng Chunyuan;Chen Yijun;Guo Zhengxun;Shu Hongchun;Zhang Xiaoshun;Yu Tao;Sun Liming
储能系统（ESS）被认为是一种可行的解决方案，可以为不同的电力系统利益相关者提供不同的利益，包括发电侧、输电网（TN）、配电网（DN）和离网微电网。储能系统在电网中的合理配置决定了储能系统的良好运行。ESS的优化配置对改善DN的电能质量和输电系统保护整定至关重要。为了解决这一问题，人们在建模和算法方面进行了大量的研究。然而，不同的子系统中的各种选项和复杂的特性使得很难评估ESS应用的特定方法，而现有的评论仅关注ESS在DN中的应用。本文提供了一个关键的一站式手册，涉及到104种方法，涵盖了各种网络和定制的应用程序。同时，系统的方法，提出了广泛的最新文献综述，包括ESS的选择，评价标准，建模和解决方法。特别是，不同的技术要求和不同的子系统的建模方法进行了概述。此外，对优化方法的优缺点进行了深入的分析和比较，以揭示最先进的研究。最后，总结了ESS优化尺寸和位置的关键点，并对未来的研究提出了沿着建议。
Energy storage system (ESS) has been expected to be a viable solution which can provide diverse benefits to different power system stakeholders, including generation side, transmission network (TN), distribution network (DN) and off-grid microgrid. Prudent ESS allocation in power grids determines satisfactory performance of ESS applications. Optimal sizing and placement of ESS are crucial for power quality improvement of DN and transmission system protection setting. To solve this issue, considerable researches have been done either in modelling or algorithms. However, various options and complex characteristics in different sub-systems make it difficult to appraise a specific method for an ESS application, while the existing reviews only focus on ESS applications in DN. This paper provides a critical one-stop handbook related to one hundred and four methods in six categories covering all kinds of networks and tailored applications. Meanwhile, a systematic methodology is presented with an extensive latest literature review, including ESS selection, evaluation criteria, modelling and solution methods. Particularly, different technical requirements and modelling methods of different sub-systems are outlined. Besides, pros and cons of optimization methods are thoroughly analysed and compared to reveal state-of-the-art studies. Finally, key points in optimal ESS sizing and placement are concluded along with recommendations for future research.
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