Multi-Objectives Optimization in Feasibility Enhanced Extended Ant Colony Algorithm for Design of Undamped Passive Filter

Harmonics are distorted current and voltage that can cause power quality problems. The problem has raised awareness and interest among engineers as well as researchers where newly advanced and develop technologies have been grown. This study proposed Mixed-Integer Distributed Ant Colony Optimisation (MIDACO) for undamped single tuned filter planning to solve multi-objectives optimization problem. The non-dominated solutions are presented for simultaneously optimising three objective functions: maximisation of the power factor, maximisation of the transmission efficiency, and minimisation losses of the Thevenin's resistor. Several constrictions associated with the designed filters have been considered, in which the Pareto-optimal was achieved in a permissible range of the power factor, avoiding harmonic resonance, the voltage harmonic distortion following IEEE Std. 519-2014 as well as the performance limits of capacitors complying with IEEE Std. 18-2012. Finally, this paper highlights the benefits of multi-objective optimisation in comparison to the single-objective optimisation in the previous work.