Abstract
To meet upcoming electricity power demands due to urbanization, the distribution system (DS) needs to be planned optimally. Therefore, the DS needs optimal expansion planning. Demand forecasting was performed with load flow analysis in this study to calculate the performance of the existing distribution network and supply reliable power for future demands. Outcomes showed that the existing network will not be able to meet the upcoming electricity demand, which will lead to incremental losses and voltage deviation (VD). Consequently, DS expansion planning by using upcoming electricity demand and renewable distributed generation (DG) placement and sizing are carried out using multiobjective particle swarm optimization (MOPSO) techniques. MOPSO execution to place and size DGs and sectional switches reduces these problems in future years. A practical distribution system called Debre Markos is utilized to perform this study and find the effectiveness of the applied method.
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