Abstract
PSO is one of the famous algorithms that help to find the global solution; in this study, our main objective is to improve the result found by the PSO algorithm to find the optimal reconfiguration by adjusting the inertia weight parameter. In this paper, I select the chaotic inertia weight parameter and the hybrid strategy using the combination between the chaotic inertia weight and the success rate, these kinds of parameters are chosen due to their accuracy, and they give the best solution compared with other types of parameter. To test the performance of this study, I used the IEEE 33 bus in the case of the presence of the DGs, and a comparative study is done to check the reliability and the quality of these two suggested strategies. In the end, it is noticed that the reconfiguration by using the chaotic inertia weight gives a better result than the hybrid strategy and the other studies: reduce losses, improve the voltage profile at each node, and give the solution at a significant time.
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M’dioud, M., Bannari, R., Elkafazi, I. (2022). Reconfiguration of the Radial Distribution for Multiple DGs by Using an Improved PSO. In: Ben Ahmed, M., Teodorescu, HN.L., Mazri, T., Subashini, P., Boudhir, A.A. (eds) Networking, Intelligent Systems and Security. Smart Innovation, Systems and Technologies, vol 237. Springer, Singapore. https://doi.org/10.1007/978-981-16-3637-0_18
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