Risk-Based Multi-Stage Model Employment in the Multi-Objective Optimal Scheduling Process of Micro-Energy Grid Using Augmented Epsilon-Constrained Concept
Author(s):
Article Type:
Research/Original Article (دارای رتبه معتبر)
Abstract:
Today, due to the concern of emission and greenhouse gases, generation of a clean energy and using renewable energies in the best way (with high efficiency) is a very important issue. Although economic goals have always been more important than environmental goals. In this paper, more considerations have been made in order to consider the environmental issue in the proposed optimal scheduling of the system in the micro energy grid. This optimal system studies the energy hub system, which is the main part of the micro-energy grid, in the form of a CCHP-based network combined with renewable energies. This system uses three energy hubs, energy storage, and converter devices. Therefore, in this paper, a multi-stage planning framework is proposed for the energy hub system and to optimize its performance, including reducing emission and operational cost. In this model, upper and lower limits are considered for the power produced by renewable energy sources to indicate the possibility of power interruption due to their fluctuations. Also, by considering multiple objective functions, optimal decision conditions can be guaranteed for the decision operator. To solve the multi-objective problem, the augmented epsilon-constraint method is used. In addition, two optimal decision-making methods have been proposed and compared too. The results obtained after the implementation of the proposed model show the efficiency of the model in reducing the cost and environmental emission.
Keywords:
Language:
Persian
Published:
Journal of Modeling in Engineering, Volume:23 Issue: 80, 2025
Pages:
1 to 19
https://www.magiran.com/p2853595
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