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|Title:||A two-layer framework for optimal control of battery temperature and microgrid operation||Authors:||Singh, Anshuman
Nguyen, Hung D.
|Keywords:||Engineering::Electrical and electronic engineering||Issue Date:||2022||Source:||Singh, A. & Nguyen, H. D. (2022). A two-layer framework for optimal control of battery temperature and microgrid operation. Journal of Energy Storage, 50, 104057-. https://dx.doi.org/10.1016/j.est.2022.104057||Project:||NTU SUG grant
MOE 2019- T1-001-119
|Journal:||Journal of Energy Storage||Abstract:||Battery energy storage is an essential component of a microgrid. The working temperature of the battery is an important factor as a high-temperature condition generally increases losses, reduces useful life, and can even lead to fire hazards. Hence, it is indispensable to regulate the temperature profile of the battery modules and packs properly during its operation. In view of this, a two-layer optimal control and operation scheme is proposed for a microgrid with battery energy storage. In the first layer, an optimal control model is formed to derive the optimal control policy that minimizes the control efforts, consisting of the fan speed and battery current magnitude, in order to achieve a reference value of temperature in the battery module. In the second layer, the system operator of the microgrid performs an optimal power flow to search for the optimal reference for temperature and the corresponding operating current of the battery that minimizes the operation cost of the entire microgrid system. This two-layer scheme offers a great computational benefit that allows for large-scale integration of batteries. A case study is performed on the proposed two-layer framework to illustrate its performance.||URI:||https://hdl.handle.net/10356/163195||ISSN:||2352-152X||DOI:||10.1016/j.est.2022.104057||Rights:||© 2022 Elsevier Ltd. All rights reserved.||Fulltext Permission:||none||Fulltext Availability:||No Fulltext|
|Appears in Collections:||EEE Journal Articles|
Updated on Feb 6, 2023
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