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Optimal Design of Photovoltaic Power Plant Structure Aimed at Reducing Lost Load and Operational Costs Using an Improved Bat Algorithm
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Ebrahim Aghajari *1   , Mahdi Makvandi2 |
1- Department of Electrical Engineering, Ahv.C., Islamic Azad University, Ahvaz, Iran , eaghajari88@iau.ac.ir
2- Department of Electrical Engineering, Ahv.C., Islamic Azad University, Ahvaz, Iran |
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Abstract: (6 Views) |
Solar energy stands as the world's most unique renewable energy source and is the primary origin of all energy on Earth. It can be directly and indirectly converted into other forms of energy, making its utilization highly cost-effective. On the other hand, the increasing demand and load today have led to the expansion of distribution systems and their dimensions. This expansion, in turn, causes increased voltage drops, higher losses, and consequently, reduced stability, lower nodal voltages, and load imbalance. Therefore, the global adoption of distributed renewable generation sources has increased significantly. Installing such sources mitigates the need for establishing new transmission and distribution lines and altering power system topology to meet demand, leading to economic savings. Furthermore, integrating these devices into distribution systems results in reduced network losses, improved network performance, deferred capital investments, enhanced reliability, peak shaving, decreased electricity costs, and better voltage profiles. The optimal placement within the distribution system and the generated power capacity of these sources significantly influence the improvement of the aforementioned characteristics. Quantifying and optimizing the structure of these resources constitutes a nonlinear optimization problem with equality and inequality constraints, which can be solved using either classical or metaheuristic methods. Metaheuristic methods have proven effective in solving optimization problems of any complexity. The application of novel metaheuristic approaches helps prevent the optimization problem from getting trapped in local minima.Consequently, this thesis aims to conduct a macroscopic, long-term technical and economic feasibility study for installing a grid-independent solar power plant, supported by batteries, to supply a portion of Baghdad city's electricity in Iraq. The proposed plan utilizes the metaheuristic methods of Fractional Lévy Flight Bat Algorithm (FLFBA) and Enhanced Imperialist Competitive Algorithm (EICA) for the optimal planning of the solar power plant's development and construction. The objective function for this problem considers the lost load factor, installation cost, and maintenance cost of the power plant.
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| Keywords: renewable productions, photovoltaic power plant, microgrid, island, heuristic algorithm |
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Full-Text [PDF 2707 kb]
(4 Downloads)
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Type of Study: Research |
Subject:
Special
Received: 2025/12/23 | Accepted: 2026/02/25 | Published: 2026/03/1
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