Implementation of ANN Controller to enhance the performance of Solar PV and battery integrated Unified Power Quality Conditioner for Micro Grid Systems.
Dr. M. Ramasekhara Reddy
, N. Srihari
Power quality, solar photovoltaic array, unified power quality conditioner (UPQC), ANN controller, battery, uninterrupted power generation, automated transition
The purpose of the research is to evaluate and optimize the performance of a Solar PV and battery-integrated Unified Power Quality Conditioner (PV-B-UPQC) for micro grid systems with ANN controller. The growing demand for sustainable and reliable energy sources has led to an increased focus on micro grid systems, which integrate solar photovoltaic (PV) arrays, energy storage and power quality enhancement technologies. The goal of this research is to find a solution for the UPQC system's power quality problem. When UPQC is managed using synchronous reference frame theory (SRF) and instantaneous reactive power theory (PQ) control, the overall harmonic distortion of the grid current is greater than 5% in conditions such as excessive voltage sag and swell. The artificial neural network modifies the UPQC's shunt active filter in order to address this specific problem. The performance of the proposed model is assessed using a variety of case situations, such as voltage sag and swell situations, imbalanced load conditions, and non-linear load conditions. MATLAB Simulink was used to execute the simulations. The results shown substantial improvements in energy efficiency, power quality, and grid reliability, making this technology a promising solution for enhancing micro grid system performance in the era of renewable energy. The recommended artificial neural network controller efficiently reduces power quality problems and optimizes control complexity.
"Implementation of ANN Controller to enhance the performance of Solar PV and battery integrated Unified Power Quality Conditioner for Micro Grid Systems.", TIJER - TIJER - INTERNATIONAL RESEARCH JOURNAL (www.TIJER.org), ISSN:2349-9249, Vol.11, Issue 2, page no.a23-a37, February-2024, Available :https://tijer.org/TIJER/papers/TIJER2402003.pdf
Volume 11
Issue 2,
February-2024
Pages : a23-a37
Paper Reg. ID: TIJER_150917
Published Paper Id: TIJER2402003
Downloads: 000278
Research Area: Science and Technology
Country: N.T.R District, Andhra Pradesh, India
ISSN: 2349-9249 | IMPACT FACTOR: 8.57 Calculated By Google Scholar | ESTD YEAR: 2014
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: TIJER (IJ Publication) Janvi Wave
