【Applied Energy最新原创论文】共享社区储能分配与优化
发布于 2022-05-18 18:45
原文信息：
Shared community energy storage allocation and optimization
原文链接：https://www.sciencedirect.com/science/article/pii/S0306261922005323
Abstract
Distributed Energy Resources have been playing an increasingly important role in smart grids. Distributed Energy Resources consist primarily of energy generation and storage systems utilized by individual households or shared among them as a community. In contrast to individual energy storage, the field of community energy storage is now gaining more attention in various countries. However, existing models are either tailored towards optimizing the operations of individual energy storage or do not consider the notion of sharing energy storage within a community. This paper proposes a framework to allocate shared energy storage within a community and to then optimize the operational cost of electricity using a mixed integer linear programming formulation. The allocation options of energy storage include private energy storage and three options of community energy storage: random, diverse, and homogeneous allocation. With various load options of appliances, photovoltaic generation and energy storage set-ups, the operational cost of electricity for the households is minimized to provide the optimal operation scheduling. Computational results are presented on two real use cases in the cities of Ennis, Ireland and Waterloo, Canada, to show the advantage of using community energy storage as opposed to private energy storage and to evaluate the cost savings which can facilitate future deployment of community energy storage. In addition to the electricity operational cost, energy storage utilization and operation fairness are used to compare different allocation options of storage systems.
Keywords
OR in energy
Shared energy storage
Distributed Energy Resources
Smart grid
Clustering and allocation
Optimization
Mixed integer linear programming
Fig. 1. Different allocation options of the CES.
Fig. 6. Operational cost analysis while varying battery capacity and number of CES.
Fig. 13. Fairness comparison for different CES allocation options in the summer day: [R] CES-random [D] CES-diverse [H] CES-homogeneous.
Fig. 19. Operational cost for different CES allocation options.
Fig. 25. Fairness comparison for CES allocation options in the summer day: [R] CES-random [D] CES-diverse [H] CES-homogeneous.
关于Applied Energy
本期小编：李思慧。
“原文”
提交文章吧
喜欢我们的内容？
本文来自网络或网友投稿，如有侵犯您的权益，请发邮件至：aisoutu@outlook.com 我们将第一时间删除。
相关素材