Operation and Control of the Distributed Energy Resources to Improve the Power Quality in Electrical Distribution System Using Hbmo -Ann - A Novel Control Algorithm

Objectives: To propose a novel hybrid control plan to enhance the power quality (PQ) of distributed energy sources (DERs) such as solar (SE), wind (WE), and battery storage system (BEES) technologies. Method: A BEES, PV farm, farm are integrated into grid supply home loads. The ABMO-ANN is method that combines Hybrid Barnacles Mating Optimization Algorithm (HBMO) Artificial Neural Network (ANN) (ANN). balanced by balancing consumed BEES provided VSI inverter in this new proposed algorithm. Findings: In HBMO-ANN model, proportional integral (PI) gain parameter controller generates signals based on load variation manage RES optimally. assumed variables parameters suggested prediction approach direct current (DC) voltage active with reactive power. Novelty: creates optimal control, aiming improve damping sustain line compensation provided. However, when compared existing methods, performance PI also justified. methodology methods MATLAB/Simulink. Keywords: Power improvement; Renewable sources; Algorithm; Reactive power;