Optimal Control of a Single-Stage Modular PV-Grid-Driven System Using a Gradient Optimization Algorithm

Author:

Altbawi Saleh Masoud Abdallah1ORCID,Mokhtar Ahmad Safawi Bin1ORCID,Khalid Saifulnizam Bin Abdul1ORCID,Husain Nusrat2ORCID,Yahya Ashraf2ORCID,Haider Syed Aqeel3ORCID,Alsisi Rayan Hamza4ORCID,Moin Lubna2ORCID

Affiliation:

1. Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Johor Bahru 81310, Johor, Malaysia

2. Department of Electronics & Power Engineering, Pakistan Navy Engineering College, National University of Sciences and Technology (NUST), Islamabad 44000, Pakistan

3. Department of Computer & Information Systems Engineering, Faculty of Electrical & Computer Engineering, NED University of Engineering and Technology, Karachi 75270, Pakistan

4. Department of Electrical Engineering, Faculty of Engineering, Islamic University of Madinah, Madinah 41411, Saudi Arabia

Abstract

There are many studies that focus on extracting harmonics from both DC and AC sides of grid-interfaced photovoltaic (PV) systems. Based on these studies, the paper introduces an efficient method depending on hybrid DC voltage, and an active and reactive power (DC-V PQ) control scheme in a single-stage three-phase grid-interfaced PV system. The proposed scheme is designed to regulate DC voltage to minimize power loss and energy share between the network reconfiguration and the utility grid. Moreover, the technique is more effective at dealing with uncertainty and has higher reliability under various operating scenarios. These operations are the insertion of linear load 1, nonlinear load, and linear load 2. Moreover, a novel objective function (OF) is developed to improve the dynamic response of the system. OF is coupled with a particle swarm optimization (PSO) algorithm and a gradient optimization (GBO) algorithm. The analysis and the comparative study prove the superiority of GBO with counterfeits algorithm.

Publisher

MDPI AG

Subject

Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous),Building and Construction

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