Abstract
Onsite generation system (OGS) with renewable sources for modern manufacturing plant is considered as a critical alternative energy source for the manufacturers. Prosumer community can be formed by aggregating such manufacturers to achieve a mutual goal of sustainable and resilient power system. As the sustainability of the network depends on the reliable operations of each component in the network, it is required to monitor the performance and lifetime of the components existed in the network. One of the critical as well as costly components used to enhance the reliability and performance of the network is the battery energy storage system (BESS). The paper proposes a lifetime estimation model for the BESS using an integrated approach of cellular automata and system dynamic (SD) to prevent any sudden power outage and build a reliable energy management framework for the community. The major factors such as energy demand of the manufacturing plant, intermittent generation from the OGS, energy sharing capability of the prosumers etc. are considered to simulate the model and determine the amount of battery degradation. Based on the estimated lifetime of the battery, the manufacturers further can control the energy management plan (charging/discharging scheme) to prolong the battery lifetime and ensure a reliable operation for the community. A numerical case study is simulated to illustrate the effectiveness of the model.
Recommended Citation
M. M. Islam et al., "A Model to Estimate the Lifetime of BESS for the Prosumer Community of Manufacturers with OGS," Procedia Computer Science, vol. 168, pp. 186 - 194, Elsevier B.V., May 2020.
The definitive version is available at https://doi.org/10.1016/j.procs.2020.02.274
Meeting Name
Complex Adaptive Systems Conference (2019: Nov. 13-15, Malvern, PA)
Department(s)
Engineering Management and Systems Engineering
Keywords and Phrases
Battery lifetime estimation; Cellular automata; Dynamic simulation; Onsite generation system; Prosumer community
International Standard Serial Number (ISSN)
1877-0509
Document Type
Article - Conference proceedings
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 2020 The Authors, All rights reserved.
Creative Commons Licensing
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Publication Date
13 May 2020
