Implementation of Bio-Inspired Flower Pollination Algorithm in Distribution System Harmonic Mitigation Scheme

Abstract

Here in this paper the usage of optimization technique has been highlighted in the distribution system for harmonic mitigation scheme. In this situation the shunt active power filter (SAPF) is playing a vital role. To make the active power filter (APF) more effective an accurate control strategy is always required. The conventional p-q (Instantaneous Active and Reactive Power) control strategy is chosen here with recently developed bio-inspired artificial intelligence (AI) Flower Pollination Algorithm (FPA). The most important issue is to manage the active power filter (APF) DC link voltage constant to make it more efficient. To maintain the DC link voltage constant the Proportional-Integral (PI) controller being employed in the DC side of active power filter (APF) used to minimize the error between the reference voltage (Vdc*) and actual value (Vdc). The Flower Pollination Algorithm (FPA) is used here to get the best proportional constant (KP) and integral constant (KI) value of PI controller. Again along with this, Particle Swarm Optimization (PSO) and conventional Zeigler Nichols method based active power filter (APF) with p-q (Instantaneous Active and Reactive Power) control strategy have been evaluated to give a comparison.