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The time of operation of overcurrent relays (OCRs) can be reduced, and at the same time, the coordination can be maintained, by selecting the optimum values of time multiplier setting (TMS) and plug setting (PS) of OCRs. This paper presents hybrid genetic algorithm (GA) - nonlinear programming (NLP) approach for determination of optimum values of TMS and PS of OCRs. GA has a drawback of, sometimes,...
In this paper a new graph-theory and improved genetic algorithm based practical method is employed to solve the optimal sectionalizer switch placement problem. The proposed method determines the best locations of sectionalizer switching devices in distribution networks considering the effects of presence of distributed generation (DG) in fitness functions and other optimization constraints, providing...
This paper presents Plant Growth Simulation Algorithm (PGSA) for minimum loss configuration of radial distribution network. The algorithm has emerged as a useful optimization tool for handling nonlinear programming problems. The algorithm implements a guiding search direction that changes dynamically as the change of the objective function and does not require any external parameters. The objective...
This paper presents a method for optimal allocation of distributed generation in distribution systems. In this paper, our aim would be optimal distributed generation allocation for loss reduction in distribution network. Ant colony search algorithm (ACSA) was used as solving tool. ACSA is inspired from the natural behaviour of the ant colonies on how they find the food source and bring them back to...
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