Scaling: managing a large number of distributed battery energy storage systems
| Type of publication: | Article |
| Citation: | |
| Journal: | Energy Informatics |
| Volume: | 1 |
| Number: | 1 |
| Year: | 2018 |
| Pages: | 20 |
| ISSN: | 2520-8942 |
| URL: | https://doi.org/10.1186/s42162... |
| DOI: | 10.1186/s42162-018-0023-5 |
| Abstract: | This paper analyzes the management of a large number of distributed battery energy storage systems (BESSs) by a energy utility in order to provide some market services. A heuristic algorithm based on two parts is proposed for this task. The first part, the aggregation, combines the abilities and behavior of the fleet of BESS into a virtual power plant (VPP) by a concise but flexible model. This VPP can be used by the utility as they are used to with traditional power plants. The second part, the disaggregation, distributes VPP control schedules back to the individual BESS by a greedy first-fit decreasing heuristic. |
| Keywords: | |
| Authors | |
| Added by: | [] |
| Total mark: | 0 |
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