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Scenario-Based Optimal Energy Management in a Multi-Carrier Energy Hub Equipped with P2G Technology Using the DP-CSA Algorithm
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Mohammad Khoshabi1   , Mehrdad Ahmadi Kamarposhti *2 , Mohsen Sedighi1 , Alireza Ghafouri1 |
1- Department of Electrical Engineering, Sar.C., Islamic Azad University, Sari, Iran
2- Department of Electrical Engineering, Jo.C., Islamic Azad University, Jouybar, Iran , mehrdad.ahmadi.k@gmail.com |
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Abstract: (20 Views) |
This paper presents an optimal framework for energy management in a multi-carrier energy hub considering uncertainties, environmental emissions, and system flexibility. The proposed structure, through the integration of renewable energy resources, combined heat and power (CHP) units, electrical and thermal energy storage systems, and Power-to-Gas (P2G) technology, improves system performance and enables the simultaneous supply of multiple energy demands. The proposed model incorporates uncertainties in generation and consumption using a scenario-based approach and Monte Carlo simulation, while a multi-objective function consisting of operating cost, emissions, and flexibility is formulated. The optimization problem is solved using the DP-CSA algorithm, which demonstrates superior performance compared to QPSO, WOA, DRL, and CSA methods. The results indicate that the objective function value reaches 2.183 p.u., representing approximately 5.6% improvement over QPSO. Furthermore, the operating cost is reduced to 37,962 cents, while emissions decrease to 207 kg. In the scenario involving flexible loads, the objective function value decreases to 1.968, corresponding to approximately 9.8% improvement compared to the base case, with emissions reduced to 195 kg. In addition, increasing the participation level of flexible loads from 10% to 30% results in a cost reduction ranging from 3.01% to 5.44%. The findings demonstrate that the combination of P2G technology, scenario-based modeling, and the proposed optimization algorithm significantly enhances system efficiency and sustainability.
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| Keywords: Combined Heat and Power (CHP), Demand Response, Energy Hub, Monte Carlo Simulation, Power-to-Gas (P2G), Scenario-Based Optimization, DP-CSA Algorithm. |
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Full-Text [PDF 1478 kb]
(7 Downloads)
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Type of Study: Research |
Subject:
Special
Received: 2026/03/4 | Accepted: 2026/04/25 | Published: 2026/05/31
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