LAPSE:2023.16660
Published Article
LAPSE:2023.16660
IoT-Based Mobile Energy Storage Operation in Multi-MG Power Distribution Systems to Enhance System Resiliency
March 3, 2023
Abstract
Multi-microgrids have gained interest in academics and industry in recent years. Multi-microgrid (MG) allows the integration of different distributed energy resources (DERs), including intermittent renewables and controllable local generators, and provides a more flexible, reliable, and efficient power grid. This research formulates and proposes a solution for finding optimal location and operation of mobile energy storage (MES) in multi-MG power distribution systems (PDS) with different resources during extreme events to maximize system resiliency. For this purpose, a multi-stage event-based system resiliency index is defined and the impact of the Internet of things (IoT) application in MES operation in multi-MG systems is investigated. Moreover, the demand and price uncertainty impact on multi-MG operational performance indices is presented. This research uses a popular PG & E 69-bus multi-MG power distribution network for simulation and case studies. A new hybrid PSO-TS optimization algorithm is constructed for the simulations to better understand the contributions of MES units and different DERs and IoT on the operational aspects of a multi-MG system. The results obtained from the simulations illustrate that optimal operation of MES and other energy resources, along with the corresponding energy sharing strategies, significantly improves the distribution system operational performance.
Keywords
distributed energy resources, distribution system, IoT, microgrid, mobile energy storage, Optimization
Suggested Citation
Alam MS, Arefifar SA. IoT-Based Mobile Energy Storage Operation in Multi-MG Power Distribution Systems to Enhance System Resiliency. (2023). LAPSE:2023.16660
Author Affiliations
Alam MS: Department of Energy & Technology, Odessa College, Odessa, TX 79764, USA [ORCID]
Arefifar SA: Department of Electrical and Computer Engineering, Oakland University, Rochester, MI 48309, USA [ORCID]
Journal Name
Energies
Volume
15
Issue
1
First Page
314
Year
2022
Publication Date
2022-01-03
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en15010314, Publication Type: Journal Article
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LAPSE:2023.16660
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https://doi.org/10.3390/en15010314
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