Smart Flow Management for Hybrid PV-Wind Connected Water Pumping Systems: Optimized UPFC and Fuzzy Q-Learning Control

International Journal of Electrical and Electronics Engineering

© 2024 by SSRG - IJEEE Journal

Volume 11 Issue 6

Year of Publication : 2024

Authors : P. Nagendra, K. Sasikala

10.14445/23488379/IJEEE-V11I6P131

How to Cite?

P. Nagendra, K. Sasikala, "Smart Flow Management for Hybrid PV-Wind Connected Water Pumping Systems: Optimized UPFC and Fuzzy Q-Learning Control," SSRG International Journal of Electrical and Electronics Engineering, vol. 11,  no. 6, pp. 305-316, 2024. Crossref, https://doi.org/10.14445/23488379/IJEEE-V11I6P131

Abstract:

Remote areas need to prioritize the pumping of water for agricultural and drinking purposes. Water pumping is a promising and advantageous application of renewable energy sources, such as hybrid energy sources that combine photovoltaic and wind power. A novel approach to effective flow control in hybrid PV and wind-powered water pumping systems is presented in this research. To optimize a Proportional Integral Derivative (PID) controller that governs motor speed, the proposed approach combines an optimized control algorithm, Unified Power Flow Controller (UPFC), and Fuzzy Q-learning. The main goal is to use UPFC to identify and mitigate Power Quality (PQ) issues. To achieve optimal UPFC operation under a range of solar and wind energy conditions, the Kookaburra Optimization Algorithm (KOA) is utilized. Fuzzy Q-learning provides adaptive parameter tuning based on real-time feedback and system dynamics, enabling the PID controller to be tuned online. Moreover, the detailed models of wind and photovoltaic systems highlight their influence on water pumping technology. A PID controller controlled by the KOA algorithm powers the UPFC, a crucial part of the system. The KOA is applied to optimize PID parameters for the UPFC, resulting in a unique contribution that emulates the hunting behavior of kookaburras for both local and global exploration. The PID controller can be easily adjusted online by the Fuzzy Q-Learning algorithm, which improves system stability when reacting to changing energy and environmental conditions. The combination of the Kookaburra Optimization Algorithm, PID control, and UPFC offers a sophisticated and flexible approach to the best possible operation of water pumping systems. Total Harmonic Distortion (THD) is successfully decreased by the proposed method, indicating better waveform quality and fewer harmonic components in the electrical system. The system’s ability to maintain a high-quality power supply is reflected in the THD value of 3.92% at 50Hz.

Keywords:

Water pumping systems, Unified Power Flow Controller (UPFC), Kookaburra Optimization Algorithm (KOA), PID controller and Fuzzy Q-learning.

References:

[1] Ali Mostafaeipour et al., “A New Model for the Use of Renewable Electricity to Reduce Carbon Dioxide Emissions,” Energy, vol. 238, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[2] Ashif Mohammad, and Farhana Mahjabeen, “Revolutionizing Solar Energy: The Impact of Artificial Intelligence on Photovoltaic Systems,” International Journal of Multidisciplinary Sciences and Arts, vol. 2, no. 1, pp. 1-11, 2023.
[Google Scholar] [Publisher Link]
[3] José-Ángel Garrido-Sarasol et al., “Technical Performance Analysis of High-Voltage Battery-Based Photovoltaic Water Pumping Systems,” Energy Conversion and Management: X, vol. 22, pp. 1-21, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[4] Sergio Gualteros, and Daniel R. Rousse, “Solar Water Pumping Systems: A Tool to Assist in Sizing and Optimization,” Solar Energy, vol. 225, pp. 382-398, 2021. [CrossRef] [Google Scholar] [Publisher Link]
[5] Zafar A. Khan, “Assessment of Wind and Solar Hybrid Energy for Agricultural Applications in Sudan,” Energies, vol. 15, no.1, pp. 1-18, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[6] António Couto, and Ana Estanqueiro, “Assessment of Wind and Solar PV Local Complementarity for the Hybridization of the Wind Power Plants Installed in Portugal,” Journal of Cleaner Production, vol. 319, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[7] Siamak Jamshidi, Kazem Pourhossein, and Meysam Asadi, “Size Estimation of Wind/Solar Hybrid Renewable Energy Systems without Detailed Wind and Irradiation Data: A Feasibility Study,” Energy Conversion and Management, vol. 234, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[8] Pradosh Kumar Sharma et al., “Energy Storage System Based on Hybrid Wind and Photovoltaic Technologies,” Measurement: Sensors, vol. 30, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[9] Jamiu Omotayo Oladigbolu, Makbul A.M. Ramli, and Yusuf A. Al-Turki, “Optimal Design of a Hybrid PV Solar/MicroHydro/Diesel/Battery Energy System for a Remote Rural Village under Tropical Climate Conditions,” Electronics, vol. 9, no. 9, pp. 1-22, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[10] Asma Charaabi et al., “A Novel Two Stage Controller for a DC-DC Boost Converter to Harvest Maximum Energy from the PV Power Generation,” Actuators, vol. 9, no. 2, pp. 1-18, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[11] Bahaa Saleh et al., “Performance Analysis of Maximum Power Point Tracking for Two Techniques with Direct Control of Photovoltaic Grid-Connected Systems,” Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, vol. 44, no. 1, pp. 413-434, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[12] Julio López Seguel, S.I. Seleme, and Lenin M.F. Morais, “Comparison of the Performance of MPPT Methods Applied in Converters Buck and Buck-Boost for Autonomous Photovoltaic Systems,” INGENIARE-Revista Chilena de Ingeniería, vol. 29, no. 2, pp. 229-244, 2021.
[Google Scholar] [Publisher Link]
[13] G. Kannayeram, N.B. Prakash, and R. Muniraj, “Intelligent Hybrid Controller for Power Flow Management of PV/Battery/FC/SC System in Smart Grid Applications,” International Journal of Hydrogen Energy, vol. 45, no. 41, pp. 21779-21795, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[14] Hiba Nadhim A. Al-Kaoaz, and Ahmed Nasser B. Alsammak, “Performance Enhancement of Distance Relay in the Presence of a Unified Power Flow Controller,” International Journal of Power Electronics and Drive Systems (IJPEDS), vol. 14, no. 3, pp. 1577-1588, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[15] Xiaomin Liu et al., “Suboptimal Control for Nonlinear Slow‐Fast Coupled Systems Using Reinforcement Learning and Takagi-Sugeno Fuzzy Methods,” International Journal of Adaptive Control and Signal Processing, vol. 35, no. 6, pp. 1017-1038, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[16] Mohammad R. Altimania et al., “Optimal Performance of Photovoltaic-Powered Water Pumping System,” Mathematics, vol. 11, no. 3, pp. 1-21, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[17] J.M. Carricondo-Antón et al., “Optimization of an Isolated Photovoltaic Water Pumping System with Technical–Economic Criteria in a Water Users Association,” Irrigation Science, vol. 41, pp. 817-834, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[18] André de Oliveira Ferreira et al., “Modeling, Control and Simulation of a Small Photovoltaic-Wind Water Pumping System without a Battery Bank,” Computers & Electrical Engineering, vol. 84, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[19] Bader Alqahtani, Jin Yang, and Manosh C. Paul, “Design and Performance Assessment of a Pumped Hydropower Energy Storage Connected to a Hybrid System of Photovoltaics and Wind Turbines,” Energy Conversion and Management, vol. 293, pp. 1-18, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[20] Amine Ben Rhouma et al., “Improved Control Strategy for Water Pumping System Fed by Intermittent Renewable Source,” Energies, vol. 16, no. 22, pp. 1-17, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[21] Dan Li et al., “Sizing Optimization and Experimental Verification of a Hybrid Generation Water Pumping System in a Greenhouse,” Mathematical Problems in Engineering, pp. 1-11, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[22] Hale Bakır, Adel Merabet, and and Mohammadali Kiehbadroudinezhad, “Optimized Control of a Hybrid Water Pumping System Integrated with Solar Photovoltaic and Battery Storage: Towards Sustainable and Green Water-Power Supply,” Energies, vol. 16, no. 13, pp. 1-16, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[23] Ahmed S. Menesy et al., “Optimal Configuration of a Hybrid Photovoltaic/Wind Turbine/Biomass/Hydro-Pumped Storage-Based Energy System Using a Heap-Based Optimization Algorithm,” Energies, vol. 16, no. 9, pp. 1-26, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[24] Neeraj Priyadarshi et al., “An Improved Hybrid PV‐Wind Power System with MPPT for Water Pumping Applications,” International Transactions on Electrical Energy Systems, vol. 30, no. 2, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[25] Ludmil Stoyanov et al., “Multivariate Analysis of a Wind–PV-Based Water Pumping Hybrid System for Irrigation Purposes,” Energies, vol. 14, no. 11, pp. 1-28, 2021.[CrossRef] [Google Scholar] [Publisher Link]