Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Electrical Power and Machines

In this thesis, two approaches are compared to get the optimal size and location of distributed generation units in radial distribution networks. The first approach is a single objective formulation which has the lowest power losses and makes an enhancement in the system voltage profile formulation with a voltage constraint of ±5%. The second one is a multi-objective formulation, concentrates on minimizing power losses and also minimizing the voltage deviation, a weighted sum method is presented to create Pareto front and also to get the best compromise solution. A new population-based metaheuristic optimization technique named Crow Search Algorithm (CSA), which is a nature-inspired algorithm based on the smart behavior of crows, is used. A modification on the evolutionary algorithm CSA is proposed using Gaussian and Cauchy density function has been applied on the two approaches to get the optimal size and location of DG. Finally, the impact of adding DGs on system harmonics is investigated to ensure total harmonic distortion at all buses by simulating the whole radial distribution system using MATLAB /Simulink, where the installed DGs type is assumed inverter-based units. In case the limits are still ensured, the achieved solution is accepted. However, if the limits are violated, another solution is proposed for harmonics mitigation or cancellation

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