GCPV-DSTATCOM Performance Analysis with PQ Theory and HCGBP Control Algorithm under Unbalanced Load Conditions

Muhammad Ariff Haikal  Ridzwan; Nor Hanisah  Baharudin; Tunku Muhammad Nizar  Tunku Mansur; Rosnazri  Ali; Mohd Syahril  Noor Shah; Kumuthawathe  Ananda-Rao

Authors

Muhammad Ariff Haikal Ridzwan Department of Electrical Engineering, Faculty of Electrical Engineering & Technology, University of Malaysia Perlis, 06200 Arau, Perlis, Malaysia
Nor Hanisah Baharudin Department of Electrical Engineering, Faculty of Electrical Engineering & Technology, University of Malaysia Perlis, 06200 Arau, Perlis, Malaysia
Tunku Muhammad Nizar Tunku Mansur Department of Electrical Engineering, Faculty of Electrical Engineering & Technology, University of Malaysia Perlis, 06200 Arau, Perlis, Malaysia
Rosnazri Ali Centre of Excellence for Renewable Energy (CERE), Faculty of Electrical Engineering & Technology, Universiti Malaysia Perlis, Pauh Putra Campus, 02600 Arau, Perlis, Malaysia
Mohd Syahril Noor Shah Centre of Excellence for Renewable Energy (CERE), Faculty of Electrical Engineering & Technology, Universiti Malaysia Perlis, Pauh Putra Campus, 02600 Arau, Perlis, Malaysia
Kumuthawathe Ananda-Rao Centre of Excellence for Renewable Energy (CERE), Faculty of Electrical Engineering & Technology, Universiti Malaysia Perlis, Pauh Putra Campus, 02600 Arau, Perlis, Malaysia

Keywords:

Solar Photovoltaic, DSTATCOM, Neural Network

Abstract

This paper investigates the performance of a grid-connected solar photovoltaic (GCPV) based Distribution Static Compensator (DSTATCOM) with a hybrid conjugate gradient backpropagation (HCGBP) controller. The study introduces a hybrid control algorithm that combines Instantaneous Reactive Power Theory with conjugate gradient backpropagation neural network for a three-phase, three-wire grid-connected solar PV (GCPV) based DSTATCOM. The proposed system is implemented in a simulation environment using MATLAB/Simulink. The system's performance is evaluated under two conditions: non-linear steady-state and load balancing conditions. The results indicate that the proposed control algorithm significantly reduces the Total Harmonic Distortion (THD) of the line current, achieving THD values of 1.32% and 1.33% under both conditions, compared to the THD reduction of 4.56% achievable with the PQ Theory alone under the same conditions. This demonstrates the effectiveness of the HCGBP control strategy, offering improved efficiency, faster response, and ease of implementation. Moreover, the simulation outcomes validate the reduction of THD in the line current at the Point of Common Coupling (PCC) has been successfully decreased to below 8%, aligning with the IEEE standard 519:2014.