Enhancing power in a grid‐connected system using unified power quality conditioner with black widow optimization‐based floating photovoltaic system

Abstract

Nowadays, power consumptions are increasing due to the modern behaviour of technology. To accomplish the power demand more power generation is needed. The usage of fossil fuel causes many health problems and environmental pollutions so the researchers notice the renewable energy resources (RER) to generate electricity. RER consume large land areas to produce a low amount of power. In this paper, floating photovoltaic (FPV) is used to produce the maximum amount of power to compensate the load demand. Normally, a battery is used for a storage device in the solar PV system. In this paper, the energy storage device is used for compressed air energy storage system which stores electricity in the form of compressed high-pressure air. Power quality issues like swell, sag, harmonics, and interruption, as well as disturbance are arisen at the time of linking non-linear loads in the power system. A controller is placed in the system to mitigate these power quality issues. Here, unified power quality conditioner (UPQC) is used to reduce the above power quality issues. UPQC injects the real power into the transmission line, so the unbalance voltage and current are compensated. Such that the inject voltage and current are controlled with the help of the series part and shunt part, respectively. The mitigation of UPQC is enhancing with the support of a proportional-integral (PI) controller. The PI controller produces two conditions of the signal according to the need for power; one is a proportional signal, the other one is proportional to the integral of the signal. The PI controller optimal gain value is appropriately selected based on the black widow Optimization algorithm. The proposed algorithm carries off the load variation and avoid disturbance in the floating PV system. The projected method is designed and executed in the MATLAB/Simulink software. The proposed FPV with ACESS design is verified with the load conditions of 180 e3 V, 50 Hz. The proposed method efficiency is validated and contrast with the prevailing methods such as Cuckoo Search Optimization Algorithm, Whale Optimization Algorithm, Particle Swarm Algorithm, and Gravitational Search Algorithm that validate the innovative method is more efficiently reducing the power quality issues.