Distributed optimal power flow using bacterial swarming algorithm
by Q.H. Wu, T.Y. Ji, M.S. Li, Z. Lu
International Journal of Modelling, Identification and Control (IJMIC), Vol. 9, No. 4, 2010

Abstract: With the increasing use of distributed intelligent devices and the demand of separated power network managing, distributed control of a complex power system becomes more and more important in application. In a distributed power flow optimisation, the cost of the network can be optimised by coordinating the control of generators and taps in a subarea partition. In this paper, a bacterial swarming algorithm (BSA) is presented to solve an optimisation problem of distributed power flow. BSA is designed from a searching framework that combines the underlying mechanisms of bacterial chemotaxis and quorum sensing. The algorithm has been evaluated by simulation studies, which were undertaken on an IEEE 118-bus test system, in comparison with a genetic algorithm (GA) and a particle swarm optimiser (PSO).

Online publication date: Thu, 13-May-2010

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