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Presenting a hybrid evolutionary algorithm for optimizing smart grids using load management in the presence of renewable energy sources and energy storage systems to the metro
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Mohamad Hadi Rostamian1    , Mohamad Hoseini Abarde * 1, Azita Azarfar1 , Nasrin Salehi2 |
1- Department of Electrical Engineering, Shahrood Branch, Islamic Azad University, Shahrood, Iran
2- Department of Basic Sciences , Shahrood Branch, Islamic Azad University, Shahrood, Iran |
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Abstract: (592 Views) |
In the optimization problems of intelligent distribution systems where there are many variables and parameters, providing an efficient algorithm that has the ability to converge and solve in large networks is one of the main challenges of researchers. In this paper, a compound integer quadratic optimization model for improving the performance of large-scale distribution network using demand-side management problem, energy storage system, battery-to-metro system, optimal control of OLTC and SVR tap-trans and distributed generation resources. Fossil and renewable are offered alongside capacitor and shunt reactors. The considered multi-objective function is a scenario-based stochastic model, which accurately models the uncertainties in renewable energy sources. According to the considered problems and also the model of large networks of 118 and 874 buses, most of the algorithms are not able to converge due to the existence of many variables. In this article, the optimal performance of the proposed hybrid evolutionary algorithm is shown on large distribution networks, which is able to reach global optimal solutions compared to similar algorithms. |
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| Keywords: Load management, smart grid, evolutionary algorithm, battery, renewable energy. |
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Full-Text [PDF 1428 kb]
(108 Downloads)
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Type of Study: Research |
Received: 2023/06/17 | Accepted: 2023/09/12 | Published: 2023/12/23
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Rostamian M H, Hoseini Abarde M, Azarfar A, Salehi N. Presenting a hybrid evolutionary algorithm for optimizing smart grids using load management in the presence of renewable energy sources and energy storage systems to the metro. ieijqp 2023; 12 (4) :56-71 URL: http://ieijqp.ir/article-1-963-en.html
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