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Optimization of active networks in the presence of prosumers based on photovoltaic and battery resources
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Alireza Alamolhoda1   , Reza Ebrahimi *1 , Mahmoud Samiei moghaddam2 , Mhmood Ghanbari1 |
1- Department of Electrical Engineering, Gorgan Branch, Islamic Azad University, Gorgan, Iran.
2- epartment of Electrical Engineering, Damghan Branch, Islamic Azad University, Damghan, Iran. |
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Abstract: (308 Views) |
| In this study, an approach based on mixed integer quadratic conic programming is proposed for energy management of active distribution networks with renewable energy-based prosumers (photovoltaics and energy storage). In this approach, a multi-objective model is formulated to reduce the electricity cost of processors, the cost of network energy losses, and the cost of renewable power outages. The goal of this model is to optimize the performance of the distribution network under conditions of resource uncertainty. The simulation results in different distribution networks (33 buses and 69 buses) showed that the proposed method is significantly more effective in reducing energy losses, reducing voltage deviations, and improving load distribution than conventional methods such as Gray Wolf and Genetic algorithms. Specifically, the energy losses in the proposed method in the 69-bus network have been reduced by 0.2547 MW, which is a significant reduction compared to the Gray Wolf (0.3258 MW) and Genetic (0.3547 MW) algorithms. Also, the lowest voltage in the proposed method is equal to 0.9821 per unit, which is higher than the other algorithms (0.9721 and 0.9701 per unit). Compared to other methods, the peak load in the proposed method is reduced to 0.470 MW, which is an improvement over the Gray Wolf (0.521 MW) and Genetic (0.587 MW) algorithms. Also, the computation time in the proposed method is only 4 seconds, which is significantly faster than the Gray Wolf (69 seconds) and Genetic (196 seconds) algorithms. These results indicate the high capability of the proposed method in reducing energy losses, improving voltage quality, and increasing the efficiency of prosumers in active distribution networks. |
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| Keywords: Distribution network, storage system, renewable resources, prosumers. |
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Type of Study: Research |
Received: 2024/05/30 | Accepted: 2025/02/28 | Published: 2025/04/8
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