Abstract

This paper proposes the improvement of PV-WE system's energy usage and the battery energy storage system (BESS). PV, BESS. Surveillance, tension management, frequency control, energy distribution, power quality and artificial intelligence techniques (AI). The aim is to increase the power quality of the grid-connected PV-BESS system. In order to increase energy quality, technology is continually explored and evaluated. The PV-BESS system is built for the microgrid, which offers benefits including continuous supply, efficient load content and effective electricity utilisation. The flow of energy from source to source is controlled by ANN. The development of the MPPT algorithm for validation of the proposed approach is using an artificial neural network (ANN) technique. An extensive research and data finding demonstrates that output is accuracy with the ANN-based MPPT output. This study therefore proposes a new way for assessing the performance at a specific site of the microgrid. The power translation systems are therefore handled in an active and reactive manner taking into consideration their circumstances and limitations.

Highlights

  • The power balancing and load sharing are hierarchical control systems for voltage/frequency control, such as primary monitoring, secondary control and tertiary control[1], that are employed as a microgrid control

  • A technique for the improvement of power of PV-battery energy storage system (BESS) with artificial neural network (ANN) controls has been proposed by the authors

  • The MPPT algorithms based on ANN are designed for the extraction of maximum power by PV and BESS

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Summary

Introduction

The power balancing and load sharing are hierarchical control systems for voltage/frequency control, such as primary monitoring, secondary control and tertiary control[1], that are employed as a microgrid control. The following shortcomings are shown in various control systems: 1.1 System Coordinates. Models were developed in the d-q synchronous frame of reference. First of all, this technique takes the form of properly balanced three phase systems for loads, grids and models. A load normally involves several single-phase loads spanning three phases, and so a perfect load balancing, especially in a microgrid, cannot be achieved. Models are employed in this research in abc co-ordinates

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