Hybrid particle swarm optimization with biased mutation applied to load flow computation in electrical power systems

Authors:
Camila Paes Salomon;Maurilio Pereira Coutinho;Germano Lambert-Torres;Cláudio Ferreira
Affiliations:
Federal University of Itajuba, Itajuba, MG, Brazil;Federal University of Itajuba, Itajuba, MG, Brazil;Federal University of Itajuba, Itajuba, MG, Brazil;Federal University of Itajuba, Itajuba, MG, Brazil
Venue:
ICSI'11 Proceedings of the Second international conference on Advances in swarm intelligence - Volume Part I
Year:
2011

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Abstract

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 applied in a different computational model, which is based on the minimization of the power mismatches in the system buses. This new model searches for a greater convergence, and also a larger application in comparison with traditional numerical methods. In order to illustrate the proposed algorithm some simulations were conducted using the IEEE 14 bus system.