International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 11 Issue: 05 | May 2024
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p-ISSN: 2395-0072
UPQC based PI, FLC and ANN controllers to Analyze Steady State and Transient State of Grid Connected Solar PV System Mallikarjuna G D1, Dr. Sheshadri G.S2, 1Research Scholar, Sri Siddhartha Academy of Higher Education (SSAHE) 2Professor, Dept. of Electrical & Electronics Engineering,
Sri Siddhartha Institute of Technology, Tumakuru, Karnataka, India. ---------------------------------------------------------------------***--------------------------------------------------------------------waveforms, and determine the appropriate compensation Abstract – Solar Photo voltaic (SPV) is connected to grid
signals to maintain power quality within specified limits. Steady-state analysis focuses on the long-term equilibrium of the system under normal operating conditions. PI controllers are commonly used in UPQCs to regulate voltage and current levels, ensuring steady-state stability and optimal power flow in grid-connected solar PV systems [8-9]. FLC controllers offer flexibility and adaptability in handling non-linear and uncertain system dynamics, while ANN controllers provide the ability to learn from historical data and optimize compensation responses for improved steady-state performance [9-10]. Transient state analysis deals with the system's response to sudden disturbances or changes in operating conditions. FLC and ANN controllers in UPQCs can effectively mitigate transient disturbances such as voltage sags, swells, and harmonics by adjusting compensation actions [11-13]. These intelligent control strategies enable UPQCs to rapidly restore system stability and ensure uninterrupted operation of grid-connected solar PV systems during transient events. The objective of this research is to analyze the performance of PI, FLC, and ANN controllers in UPQCs for both steady-state and transient state operation of grid-connected solar PV systems. The study aims to evaluate the effectiveness [14-16], efficiency, and robustness of each control strategy in mitigating power quality issues and enhancing system reliability under various operating conditions. The application of PI, FLC, and ANN controllers in UPQCs offers promising solutions for analyzing and improving both steady-state and transient state behaviour of gridconnected solar PV systems[17-19]. By leveraging intelligent control strategies, UPQCs can ensure stable and high-quality power supply, contributing to the integration of renewable energy sources and the advancement of sustainable power generation technologies [20].
through converters. Unified Power Quality Conditioners (UPQCs) are essential devices used in power distribution systems to improve power quality by mitigating the steady state and transient state of system. This paper presents a comparative study of intelligent control techniques such as Fuzzy Logic Controller (FLC) and Artificial Neural Network (ANN), as applied to UPQC for enhanced performance in mitigating power quality issues with PI conventional method. The FLC and ANN are both employed as control strategies for the UPQC to regulate its compensation actions based on the detected disturbances in the grid. The proposed system is simulated in MATLAB/Simulink software 2018b. Key Words: SPV, UPQC, FLC. ANN.
1. INTRODUCTION Unified Power Quality Conditioners (UPQCs) play a vital role in enhancing the performance of grid-connected solar photovoltaic (PV) systems by mitigating power quality issues and ensuring stable operation under varying grid conditions [1-2]. In this introduction, an overview of the application of Proportional-Integral (PI), Fuzzy Logic Controller (FLC), and Artificial Neural Network (ANN) controllers [4] in UPQCs to analyze both steady-state and transient state behaviour of grid-connected solar PV systems is presented. Grid-connected solar PV systems are an increasingly popular renewable energy solution, providing clean and sustainable electricity generation. However, the integration of solar PV into the grid introduces challenges related to power quality, including voltage fluctuations, harmonic distortions, and frequency variations [5]. UPQCs are advanced power electronic devices designed to mitigate power quality issues in electrical distribution systems. They typically consist of series and shunt active power filters that work together to compensate for voltage sags, swells, harmonics, and other disturbances, ensuring stable and high-quality power supply to connected loads. Proportional-Integral (PI), Fuzzy Logic Controller (FLC), and Artificial Neural Network (ANN) controllers are commonly employed in UPQCs to regulate their compensation actions based on detected grid disturbances [6-7]. These controllers analyze input signals, such as voltage and current
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2. Configuration of Solar System Integrated with UPQC The Configuration of Solar System Integrated with UPQC is shown in figure 1. The Maximum power point algorithm is used to extract the maximum power from using boost converter connected with the multilevel voltage source inverter. The inverter is connected through UPQC to grid.
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