Modified Honey Bee Mating Optimisation to solve dynamic optimal power flow considering generator constraints

This study proposes a Modified Honey Bee Mating Optimisation (MHBMO) to solve the dynamic optimal power flow (DOPF) problem of power system considering the valve-point effects. DOPF is a complicated non-linear problem that occupies an important role in the economic operation of power system. It has non-smooth and non-convex characteristics when generation unit valve-point effects are taken into account. Non-linear characteristics of the power generators and practical constraints, such as ramp rate constraint, transmission constraints and non-linear cost functions, are all considered for the realistic operation and they cause more complication of the proposed problem. Recently, evolutionary algorithms are devoted to solve compliment problems like the OPF problem. HBMO is one of the evolutionary algorithms considered as a typical swarm-based approach to optimisation, in which the search algorithm is inspired by the process of real honey-bee mating. Besides the privileges of HBMO, it has some drawbacks such as probability of trapped in local optima and converge to global optima in long time. Therefore this study proposes an algorithm profit from a mutation to overcome the above drawbacks. In order to validate the proposed algorithm, it has been tested on the 14, 30 and 118-bus test systems. The proposed algorithm provides better results in comparison with original HBMO and other methods in the literature as demonstrated by simulation results.