Maurilio Pereira Coutinho

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an important role in a performance of the complex process involving decision-making problems of combinatory nature. The techniques are based on the change of system functional configuration and consist in the use of the maximization of power demand supplied and minimization of the number switched lines. These techniques also avoid the overload of system(More)
This paper presents the implementation of a Hybrid Particle Swarm Optimization with Biased Mutation (HPSOBM) algorithm to solve the load flow computation in electrical power systems. The load flow study obtains the system status in the steady-state and it is widely used in the power system operation , planning and control. The proposed methodology is(More)
This paper presents a hybrid particle swarm based methodology for solving load flow in electrical power systems. Load flow is an electrical engineering well-known problem which provides the system status in the steady-state and is required by several functions performed in power system control centers. The proposed approach for load flow computation is(More)
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