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Abstract Currently, distribution system planning is crucial tomeet both the present and future electricity needs of customers with minimal investments. This paper introduces a novel methodology to solve the distribution expansion planning problem by employing a heuristic based on genetic algorithms (GA). The proposed GA aims to minimize investment costs, electrical losses, and financial losses due to voltage sags and power interruptions. This GA is applied in the 18-busbar network with three planning stages. The results show that the GA deals with efficiency with the multi-objective problem obtaining solutions with reduced iterations and with minimum investments considering electrical losses, and financial losses. Key words: Genetic algorithm, distribution expansion planning, distribution of electrical networks, and financial losses.
References [1] A. Ehsan e Q. Yang , “State-of-the-art techniques for modeling of uncertainties in active distribution network [2] G. L. Achidamini et al , “Expansion Plannin of Power Distribution Systems Considering Reliability: A Comprehensive Review”, Energie , vol.15 , no. 6, MDPI, 10 March 2022. doi: 10.3390/en15062275. [3] V. Vahidinisab et al , “Overview of Electric Energy distribution Network Expansion Planning”, IEEE Acce , [4] H. Mubarak, H. Mokhlis, N. N. Mansor, M. Mohamad, A. S. Mohd Khairudin, e S. Afzal, “Optimal distribution |
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