Modified artificial bee colony algorithm based on fuzzy multi-objective technique for optimal power flow problem

This paper presents a fuzzy based modified artificial bee colony (MABC) algorithm to solve discrete optimal power flow (OPF) problem that has both discrete and continuous variables considering valve point effects. The OPF problem is formulated as a multi-objective mixed-integer nonlinear problem, where optimal settings of the OPF control variables for simultaneous minimization of total fuel cost of thermal units, total emission, total real power losses, and voltage deviation are obtained. The proposed approach is applied to the OPF problem on IEEE 30-bus and IEEE 118-bus test systems. The performance and operation of the proposed approach is compared with the conventional methods. The simulation results verify the effectiveness of the proposed method.

► A fuzzy based modified artificial bee colony (MABC) algorithm is presented for solving the OPF problem. ► The proposed method is capable to solve discrete optimal power flow (OPF) problem considering both discrete and continuous variables and valve point effects. ► The proposed approach is implemented on the standard IEEE 30-bus and IEEE 118-bus test systems. ► The results confirmed that the MABC is more effective in global search exploration and faster than the other algorithms.