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Distributed Generation (DG) sources are becoming more prominent in distribution systems due to increased demand for the electrical energy. The locations and capacities of DG sources will have an impact on system losses of distribution network. In this paper, a novel hybrid Genetic Algorithm (GA) / Particle Swarm Optimization (PSO) for solving the problem of optimal location and sizing of DG on distributed...
This paper proposes Genetic Algorithms (GA) for solving optimal multi-distributed generation (DG) location and capacity. The objective is to minimize the real power loss within security and operational constraints. Four kinds of DG are considered including distributed real power sources only, distributed real reactive sources only, distributed generation supplying real power and consume reactive power,...
In this paper an optimal load shedding approach for electrical distribution network with and without Distributed Generation (DG) to improve the voltage stability is presented. Finding effective location of load shedding for identifying weak buses is very important so that, voltage stability index is used for identifying the sensitive buses to the voltage collapse. The objective is to minimize the...
This paper proposes Genetic Algorithm (GA) for solving optimal multi-distributed generation (DG) location and capacity. The objective is to minimize the real power loss within security and operational constraints. Four types of DG are considered including distributed real power sources only, distributed reactive power sources only, distributed generation supplying real power and consume reactive power,...
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