Optimal Multi-objective Placement of Wind Turbines Considering Voltage Stability, Total Loss and Cost Using Fuzzy Adaptive Modified Particle Swarm Optimization Algorithm

Abstract

The proper placement of distributed generations, especially wind turbines, is a challenging issue in distribution networks. In this regard, this paper employs the fuzzy adaptive modified particle swarm optimization (FAMPSO) to determine the locations of wind turbines in a radial distribution network by considering power losses, operation cost reduction and voltage stability improvement as the objective functions. Considering the nature of these objective functions and load flow necessity, wind turbine placement is a nonlinear and complicated numerical problem. Therefore, the multi-objective FAMPSO and Pareto optimal methods are employed for compromising between the objective functions. Moreover, during the simulation procedure, a set of non-dominated solutions is stored in an external memory. This method is applied to a 69-bus distribution network for algorithm verification. © 2018, Shiraz University.