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:: Volume 13, Issue 4 (12-2024) ::
ieijqp 2024, 13(4): 0-0 Back to browse issues page
A three-stage strategic framework for optimizing the cooperation of home microgrids in interconnected electricity and heat networks
Javad Goodarzi1 , Mohammad Tolou Askari *1 , Meysam Amirahmadi1 , Majid Babaeinik1
1- Department of Electrical Engineering, Semnan Branch, Islamic Azad University, Semnan, Iran
Abstract:   (374 Views)
This article presents an innovative three-stage strategic framework for the effective cooperation of home microgrids in interconnected electricity and heat networks. The framework aims to increase the competitiveness of microgrids in the energy market. A two-level optimization model is used for optimal management of electrical and thermal energy, which includes demand management strategies to maximize system profit. The high-level model maximizes the profit of the network operator and the low-level model minimizes the cost of electricity supply to microgrids. To solve this model, a multi-stage stochastic programming approach based on particle swarm optimization algorithm is proposed. The simulation results show a significant reduction in market prices by approximately 36%, a 47% increase in responsive load consumption, and a tripling of local generation. These findings indicate the potential of the proposed approach in increasing the profit of all participants and improving energy management in cooperative microgrids.
Keywords: Home energy management, uncertainty, evolutionary algorithm, two-level optimization, electrical and thermal networks.
     
Type of Study: Research |
Received: 2025/01/31 | Accepted: 2025/03/2 | Published: 2025/04/8


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Goodarzi J, Tolou Askari M, Amirahmadi M, Babaeinik M. A three-stage strategic framework for optimizing the cooperation of home microgrids in interconnected electricity and heat networks. ieijqp 2024; 13 (4)
URL: http://ieijqp.ir/article-1-1026-en.html


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Volume 13, Issue 4 (12-2024) Back to browse issues page
نشریه علمی- پژوهشی کیفیت و بهره وری صنعت برق ایران Iranian Electric Industry Journal of Quality and Productivity
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