Optimal allocation of distributed generation for performance enhancement of distribution system using particle swarm optimization

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Abstract

The rapid growth of power demand and urbanization needs a quality and reliable power supply system. On the other hand, the existing passive distribution network and high cost of power transmission from generation can’t meet the fast-growing power demand. The weak performance of the utility like high power interruption and poor voltage profile affect the living standard of individual consumers which are the most serious problems of Ethiopian power distribution system. This type of problem can be minimized by integrating optimally allocated renewable distributed generations with the existing distribution system which are environmentally friend. Optimal sizing and siting of DG done by applying PSO for multi-objective function using MATLAB software. The significant process is how to minimize the power loss, reduce power interruption and improve the voltage profile of distribution systems. The voltage profile and power loss evaluation are done using a power flow method of forward-backward for radial networks. The reliability indices of the network like SAIDI, SAIFI, and EENS are evaluated using ETAP software. The proposed method is tested at Gihon 25-bus feeder of Bahir Dar distribution system. The simulation result indicates appropriate sizing and placement of solar based DG improves the performance of the distribution system.

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Mandefro, E., & Bantiyrga, B. (2020). Optimal allocation of distributed generation for performance enhancement of distribution system using particle swarm optimization. In Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST (Vol. 308 LNICST, pp. 436–453). Springer. https://doi.org/10.1007/978-3-030-43690-2_30

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