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:: Volume 12, Issue 4 (12-2023) ::
ieijqp 2023, 12(4): 72-87 Back to browse issues page
Optimal Operation of Microgrids Using bi-Level Evolutionary Algorithm in the Presence of Uncertain Renewable Energy Resources
Saeid Shakerinia1 , Abbas Fattahi May Abadi * 2, Mojtaba Vahedi1 , Nasrin Salehi3 , Mahmoud Samiei Moghaddam4
1- Department of Electrical Engineering, Shahrood Branch, Islamic Azad University, Shahrood, Iran
2- Hamedan University of Technology
3- Department of Basic sciences, Shahrood Branch, Islamic Azad University, Shahrood, Iran
4- Department of Electrical Engineering, Damghan Branch, Islamic Azad University, Damghan, Iran
Abstract:   (436 Views)


With the increasing penetration of renewable energy sources such as wind and photovoltaic generation in future microgrids, challenges arise due to variable weather conditions. In this paper, a model is proposed to optimize the performance of microgrids under the worst-case scenario of renewable energy source failures using a bi-level optimization. In the upper-level problem, optimization is carried out in terms of energy loss reduction, load shedding in the load management program, as well as optimal charging and discharging of energy storage systems. The lower-level problem considers maximizing the utilization of renewable energy. A bi-level optimization solution method is proposed, which involves binary variables at both levels and is solved using a non-dominated sorting genetic algorithm (NSGA-II). The proposed model and algorithm are implemented using the Julia programming language. The performance of the model is examined under various conditions using a 33-bus microgrid, and the optimization results demonstrate the optimal performance of the microgrid under the worst-case scenario of renewable energy source failures.
 

Keywords: Microgrid, Demand-side management, Optimization, Renewable resources, Energy storage system, Evolutionary algorithm
Full-Text [PDF 1533 kb]   (73 Downloads)    
Type of Study: Research |
Received: 2023/07/7 | Accepted: 2023/09/30 | Published: 2023/12/23
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Shakerinia S, Fattahi May Abadi A, Vahedi M, Salehi N, Samiei Moghaddam M. Optimal Operation of Microgrids Using bi-Level Evolutionary Algorithm in the Presence of Uncertain Renewable Energy Resources. ieijqp 2023; 12 (4) :72-87
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Volume 12, Issue 4 (12-2023) 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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