POWER QUALITY ENHANCEMENT USING DUAL-STRATEGY SPIDER WASP OPTIMIZATION ALGORITHM IN PHOTOVOLTAIC SYSTEMS

Abstract

In Photovoltaic (PV) system, power quality enhancement emphases on minimizing voltage fluctuations and harmonic distortions caused by intermittent solar energy generation. It ensures reliable and stable power delivery by enhancing voltage regulation and balancing power flow. Effective power quality management increase overall effectiveness and PV lifespan system while maintaining grid stability. However, power quality in PV system arises from voltage fluctuations and harmonics caused by solar energy intermittency that affects grid stability and equipment performance. This research proposes Dual-Strategy Spider Wasp Optimization Algorithm (DS-SWOA) to enhance power quality in PV system. In traditional SWOA, circle map and dynamic adaptive boundary adjustment are the dual strategies considered which optimize system parameters by effectively initializing population and dynamically adjusting boundaries. A 3-level Neutral Point Clamped (NPC) inverter is used which enhance voltage quality and minimize harmonic distortions. Boost DC-DC converter improve power quality by effectively stepping up voltage which ensures stable power delivery to grid despite fluctuations in solar generation. The proposed DS-SWOA obtains a less Total Harmonic Distortion (THD) of 0.04% compared to existing methods like Third-Order Sliding Mode Control (TOSMC).