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Improved Gray Wolf Optimizer Based Optimized Scheduling of Energy Hub with Renewable Energy Resources and Metro
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Mohammad Jafar Nafehfeshan   , Bahman Bahmani-Firouzi * , Mehdi Nafar |
| Department of Electrical Engineering, Marvdasht Branch, Islamic Azad University, Marvdasht, Iran |
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Abstract: (73 Views) |
In this article, the optimal participation of energy hubs (EHs) connected to the grid in the day-to-day and real-time energy markets is presented. The proposed system consists of an electricity distribution network, a private transportation system, and a public transportation system, a water system, a thermal energy system. In addition, reconfiguration, and metro regenerative braking energy have been investigated. The proposed power distribution system is an on-grid hybrid microgrid. Improved gray wolf optimization algorithm for finding the best solution for scheduling the proposed system. Also, the reduced unscented transform scheme is applied to capture the uncertainty in the system. We demonstrate the effectiveness of the proposed method using a 33-bus IEEE test system in Matlab software package. Reductions in costs and pollution of the environment are demonstrated by the results. This study has demonstrated the completeness of the proposed smart network and the efficiency of the desired system by comparing it with the results of other studies and similar systems.
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| Keywords: Day-ahead and real-time energy market, energy management system, energy hub connected to the grid, improved gray wolf algorithm |
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Full-Text [PDF 1592 kb]
(34 Downloads)
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Type of Study: Research |
Subject:
Special
Received: 2024/03/27 | Accepted: 2024/05/30 | Published: 2024/05/30
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