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Simultaneous Optimization of Energy Storage Performance and Load Unbalance Reduction in Renewable-Based Microgrids Using Single-Phase Electric Vehicles
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Mehran Alitabar   , Mohsen Sedighi * , Seyed Mehdii Abedi Pahnehkolaei , Alireza Ghafouri |
| Department of Electrical Engineering, Sar.C., Islamic Azad University, Sari, Iran |
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Abstract: (17 Views) |
This paper presents an innovative approach for enhancing the performance of renewable-based microgrids (MGs) by focusing on two key aspects: optimal operation of energy storage systems and reduction of load unbalance. First, a detailed model of the energy storage system is developed, and its optimal sizing is performed using a stepwise optimization algorithm considering stability indicators, state of charge (SoC), and battery lifetime, and battery lifetime. Several scenarios with different SoC ranges are defined to evaluate their effect on power fluctuation. A novel quantitative index, referred to as the Smoothness Index (SI), is proposed and used to assess the performance of the system in each scenario. In the second step, an adaptive decision-making algorithm is proposed to utilize single-phase electric vehicles (EVs) for load balancing and neutral current reduction. The proposed algorithm adaptively assigns EVs to the underloaded phases in the MG. Simulation results show that operating the battery within the SoC range of 20% to 80% provides a suitable trade-off between power smoothing and battery durability. Moreover, the intelligent deployment of single-phase EVs leads to a 48% reduction in neutral current and a 12% increase in the SI index. The findings indicate that combining optimized storage utilization with smart EV allocation can significantly improve power quality and operational stability in MGs |
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| Keywords: Microgrid, Energy Storage System, State of Charge (SoC), Single-Phase Electric Vehicle, Power Fluctuation, Load Unbalance |
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Full-Text [PDF 826 kb]
(8 Downloads)
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Type of Study: Research |
Subject:
Special
Received: 2025/02/23 | Accepted: 2025/05/25 | Published: 2025/05/31
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