Power Quality Analysis of Fuzzy Logic Controller Based Distributed Generation System with UPQC

International Journal of Electrical and Electronics Engineering
© 2024 by SSRG - IJEEE Journal
Volume 11 Issue 9
Year of Publication : 2024
Authors : Shravani Chapala, R.L. Narasimham, G. Tulasi Ram Das
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How to Cite?

Shravani Chapala, R.L. Narasimham, G. Tulasi Ram Das, "Power Quality Analysis of Fuzzy Logic Controller Based Distributed Generation System with UPQC," SSRG International Journal of Electrical and Electronics Engineering, vol. 11,  no. 9, pp. 57-68, 2024. Crossref, https://doi.org/10.14445/23488379/IJEEE-V11I9P105

Abstract:

This paper explores the integration of renewable energy sources into current power systems as a means to enhance energy efficiency, reduce emissions of greenhouse gases, and tackle the issue of climate change. A variety of renewable energy sources, including wind, solar panels, and solid oxide fuel cells, are integrated into the proposed hybrid system. The following challenges (Maximum power production) must be overcome, and effective control algorithms must be devised when renewable energy sources generate electricity. This paper presents a comprehensive power quality analysis of a Fuzzy Logic Controller (FLC) based Distributed Generation (DG) system integrated with a Unified Power Quality Conditioner (UPQC). The proposed system aims to enhance power quality by mitigating issues such as voltage sags, swells, and harmonics, which are common in distributed generation environments. A detailed MATLAB/SIMULINK model is developed to promote the integration of hybrid renewable energy sources to enhance the performance of the Fuzzy Logic Controller (FLC) and the Unified Power Quality Conditioner (UPQC) under diverse operational conditions. Significant improvements in power quality are demonstrated by the results obtained quality, evidenced by reduced Total Harmonic Distortion (THD) and stabilized voltage levels. This study highlights the effectiveness of integrating FLC with UPQC in DG systems, providing a robust solution for maintaining power quality in modern power networks. The system results are validated using the IEEE 1547 and IEEE 519 standards to demonstrate the System's effectiveness.

Keywords:

PV, Wind, SOFC, Grid, Fuzzy.

References:

[1] Pranoy Roy et al., “Recent Advances of Wind-Solar Hybrid Renewable Energy Systems for Power Generation: A Review,” IEEE Open Journal of the Industrial Electronics Society, vol. 3, pp. 81-104, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[2] Olubayo Moses Babatunde, Josiah Lange Munda, and Yskandar Hamam, “A Comprehensive State-of-the-Art Survey on Hybrid Renewable Energy System Operations and Planning,” IEEE Access, vol. 8, pp. 75313-75346, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[3] Vallem V.V.S.N. Murty, and Ashwani Kumar, “Optimal Energy Management and Techno-economic Analysis in Microgrid with Hybrid Renewable Energy Sources,” Journal of Modern Power Systems and Clean Energy, vol. 8, no. 5, pp. 929-940, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[4] Dragana J. Petrovic et al., “Hybrid Power Supply System with Fuzzy Logic Controller: Power Control Algorithm, Main Properties, and Applications,” Journal of Modern Power Systems and Clean Energy, vol. 10, no. 4, pp. 923-931, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[5] Su Guo et al., “Multi-Objective Sizing of Solar-Wind-Hydro Hybrid Power System with Doubled Energy Storages Under Optimal Coordinated Operation Strategy,” CSEE Journal of Power and Energy Systems, vol. 9, no. 6, pp. 2144-2155, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[6] Ahmed Elmelegi et al., “Optimized Tilt Fractional Order Cooperative Controllers for Preserving Frequency Stability in Renewable Energy-Based Power Systems,” IEEE Access, vol. 9, pp. 8261-8277, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[7] Jon Martinez-Rico et al., “Multi-Objective Optimization of Production Scheduling Using Particle Swarm Optimization Algorithm for Hybrid Renewable Power Plants with Battery Energy Storage System,” Journal of Modern Power Systems and Clean Energy, vol. 9, no. 2, pp. 285-294, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[8] GM. Shafiullah et al., “Prospects of Hybrid Renewable Energy-Based Power System: A Case Study, Post Analysis of Chipendeke Micro-Hydro, Zimbabwe,” IEEE Access, vol. 9, pp. 73433-73452, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[9] Mahmoud E. Sallam et al., “Optimal Sizing of Different Energy Sources in an Isolated Hybrid Microgrid Using Turbulent Flow Water-Based Optimization Algorithm,” IEEE Access, vol. 10, pp. 61922-61936, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[10] R. Gour, and V. Verma, “Voltage Regulation in a Radial Microgrid with High-RES Penetration: Approach-Optimum DVR Control,” Engineering, Technology & Applied Science Research, vol. 12, no. 4, pp. 8796-8802, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[11] Siyuan Guo et al., “Optimal Offering Strategy of Virtual Power Plant with Hybrid Renewable Ocean Energy Portfolio,” CSEE Journal of Power and Energy Systems, vol. 9, no. 6, pp. 2040-2051, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[12] Youssef Kassem et al., “Economic Viability of a 6.5kW Off-Grid Solar PV with Various Sun-Tracking Systems in Northern Cyprus: A Case Study,” Engineering, Technology & Applied Science Research, vol. 13, no. 2, pp. 10608-10621, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[13] Hossam A. Gabbar, Muhammad R. Abdussami, and Md. Ibrahim Adha, “Optimal Planning of Nuclear-Renewable Micro-Hybrid Energy System by Particle Swarm Optimization,” IEEE Access, vol. 8, pp. 181049-181073, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[14] Baraa Mohandes et al., “Renewable Energy Management System: Optimum Design and Hourly Dispatch,” IEEE Transactions on Sustainable Energy, vol. 12, no. 3, pp. 1615-1628, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[15] Xianglong Liu et al., “Optimal Planning of AC-DC Hybrid Transmission and Distributed Energy Resource System: Review and Prospects,” CSEE Journal of Power and Energy Systems, vol. 5, no. 3, pp. 409-422, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[16] Abu Jahid et al., “Toward Energy Efficiency Aware Renewable Energy Management in Green Cellular Networks with Joint Coordination,” IEEE Access, vol. 7, pp. 75782-75797, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[17] Thanikanti Sudhakar Babu et al., “A Comprehensive Review of Hybrid Energy Storage Systems: Converter Topologies, Control Strategies and Future Prospects,” IEEE Access, vol. 8, pp. 148702-148721, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[18] Ben Slama Sami, “Intelligent Energy Management for Off-Grid Renewable Hybrid System Using Multi-Agent Approach,” IEEE Access, vol. 8, pp. 8681-8696, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[19] Satyabrata Sahoo et al., “Forecasting Tariff Rates and Enhancing Power Quality in Microgrids: The Synergistic Role of LSTM and UPQC,” Engineering, Technology & Applied Science Research, vol. 14, no. 1, pp. 12506-12511, 2024.
[CrossRef] [Google Scholar] [Publisher Link]