1. Distribution system performance improvement by optimal renewable energy placement using swarm algorithms.
- Author
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Hamad, Yousif Khalid, Hussain, Ali Nasser, and Lafta, Yasar N.
- Subjects
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METAHEURISTIC algorithms , *RENEWABLE energy sources , *POWER resources , *ENERGY industries , *ELECTRIC power production , *DISTRIBUTED power generation , *POWER plants - Abstract
In recent years, the use of renewable energy sources by many power grid companies worldwide has increased significantly. The trend towards the use of renewable energy sources is mainly due to environmental issues and rising fuel prices associated with conventional electricity generation. Distributed generation units are power generation plants that are very important for the grid architecture of today's power system. The benefit of adding these distributed generation (DG) units is to increase the power supply to the grid. However, the installation of these DG units can cause a negative impact if not properly allocated and/or sized. Therefore, there is a need for their optimal allocation and size to avoid situations such as voltage instability and high investment costs. In this paper, two swarm-based heuristic algorithms, namely the Particle Swarm Optimization (PSO) algorithm and Whale Optimization Algorithm (WOA), are applied to solve the optimal placement and sizing of DG units in the distribution network planning. Three cases were used to address the network problems, which are represented by adding the photovoltaic cells and wind turbines. In the last case, both were used, and the feasibility of algorithms was confirmed for the IEEE 33-bus test system. The comparison results showed that the WOA algorithm produces good solutions. In general, the WOA algorithm was able to reduce the system losses. The reduction of real power losses in WOA, taking into account the technical and economic constraints in the IEEE 33 system is reduced to minimum of 66.22%, 67% and 80.71% for three cases respectively, as well as improving the voltage profile, thus obtaining a more efficient system. The paper reveals the strengths and weaknesses of PSO and WOA in applying the optimal size of DG units in distribution networks. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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