Honey Bee Mating Optimization Technique Based Multi-machine Power System Stabilizer Design

In this paper, a new approach based on the Honey bee mating optimization (HBMO) technique is proposed to tune the parameters of the multi-machine power system stabilizers (PSSs). The honey-bee mating process has been considered as a typical swarm-based approach to optimization, in which the search algorithm is inspired by the process of real honey-bee mating. The PSSs parameters tuning problem is converted to an optimization problem with time domain-based objective function which is solved by a HBMO algorithm. To ensure the robustness of the proposed stabilizers, the design process takes a wide range of operating conditions into account. The performance of the newly designed PSSs is evaluated in a three-machine power system subjected to the different types of operating conditions in comparison with the genetic algorithm based PSSs. The effectiveness of the proposed technique is demonstrated through nonlinear time-domain simulation studies over a wide range of loading condition.

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