Implementation of PV-Wind based Microgrid System using Whale Optimization Algorithm

International Journal of Electrical and Electronics Engineering

© 2023 by SSRG - IJEEE Journal

Volume 10 Issue 4

Year of Publication : 2023

Authors : R. K. Negesh, S. Karthikeyan, Tharwin Kumar, M. Sivasubramanian

10.14445/23488379/IJEEE-V10I4P102

How to Cite?

R. K. Negesh, S. Karthikeyan, Tharwin Kumar, M. Sivasubramanian, "Implementation of PV-Wind based Microgrid System using Whale Optimization Algorithm," SSRG International Journal of Electrical and Electronics Engineering, vol. 10,  no. 4, pp. 12-23, 2023. Crossref, https://doi.org/10.14445/23488379/IJEEE-V10I4P102

Abstract:

Recently, Micro Grids (MGs) have become extremely popular due to their advantages of effective power conversion and high transmission efficiency. The MG and Nonlinear Loads (NL) are being incorporated into the electricity network. MGs are connected by Voltage Source Converters (VSCs), and NL infuses harmonics into the utility grid using power devices. However, the emergence of stability problems in the MG is caused by the nonlinear characteristics of Renewable Energy Sources (RESs), the rising use of power electronic devices and unexpected variations in load. This paper aims to suggest a microgrid that employs RESs comprising wind and Photovoltaic (PV) systems. This method is established to distribute stable power to loads without any interruptions. A Doubly Fed Induction Generator (DFIG) is deployed as a wind system. To stabilize the PV input voltage, the Boost converter is implemented. Furthermore, intended for enhancing the microgrid's performance, a constant output without distortion is attained from the converter with the deployment of a Whale Optimized Proportional Integral (WO-PI) controller. The 3Φ inverter is utilized to sustain the DC link voltage, and it combines PV, wind, and battery output at a single point and feeds it to the grid. The results are implemented using the MATLAB platform, and simulation outcomes show that the suggested control technique is effective with a THD of 2.33% and reduced overshoot issues.

Keywords:

PV system, Wind system, Boost converter, WO-PI controller, MG, DFIG.

References:

[1] Muhammad Fahad Zia et al, "Energy Management System for A Hybrid Pv-Wind-Tidal-Battery-Based Islanded Dc Microgrid: Modeling and Experimental Validation," Renewable and Sustainable Energy Reviews vol. 159, pp. 112093, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[2] Ujjwal Datta, Akhtar Kalam, and Juan Shi, "Hybrid Pv–Wind Renewable Energy Sources for Microgrid Application: An Overview," Hybrid-Renewable Energy Systems in Microgrids, pp. 1-22, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[3] Shakti Singh, Mukesh Singh, and Subhash Chandra Kaushik, "Feasibility Study of An Islanded Microgrid in Rural Area Consisting of PV, Wind, Biomass and Battery Energy Storage System," Energy Conversion and Management, vol. 128, pp. 178-190, 2016.
[CrossRef] [Google Scholar] [Publisher Link]
[4] Cameron Smith et al., "Comparative Life Cycle Assessment of a Thai Island's Diesel/Pv/Wind Hybrid Microgrid," Renewable Energy, vol. 80, pp. 85-100, 2015.
[CrossRef] [Google Scholar] [Publisher Link]
[5] Wanxing Sheng et al., "Research and Practice on Typical Modes and Optimal Allocation Method for Pv-Wind-Es in Microgrid," Electric Power Systems Research, vol. 120, pp. 242-255, 2015.
[CrossRef] [Google Scholar] [Publisher Link]
[6] Ayman Al-Quraan, and Muhannad Al-Qaisi, "Modelling, Design and Control of a Standalone Hybrid Pv-Wind Micro-Grid System," Energies, vol. 14, pp. 4849, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[7] Tathagata Sarkar et al., "Optimal Design and Implementation of Solar PV-Wind-Biogas-VRFB Storage Integrated Smart Hybrid Microgrid for Ensuring Zero Loss of Power Supply Probability," Energy Conversion and Management, vol. 191, pp. 102-118, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[8] S.Priyanka et al., "Iot Based Hybrid Artificial Tree for Solar/Wind Power Generation With Pollution Control and Monitoring," SSRG International Journal of Computer Science and Engineering, vol. 8, no. 4, pp. 1-3, 2021.
[CrossRef] [Publisher Link]
[9] Rajvikram Madurai Elavarasan et al., "Investigations on Performance Enhancement Measures of the Bidirectional Converter in Pv–Wind Interconnected Microgrid System," Energies, vol. 12, no. 14, pp. 2672, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[10] Boualam Benlahbib et al., "Experimental Investigation of Power Management and Control of a Pv/Wind/Fuel Cell/Battery Hybrid Energy System Microgrid," International Journal of Hydrogen Energy, vol. 45, no. 53, pp. 29110-29122, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[11] Makbul A.M. Ramli, H.R.E.H. Bouchekara, and Abdulsalam S. Alghamdi, "Optimal Sizing of Pv/Wind/Diesel Hybrid Microgrid System Using Multi-Objective Self-Adaptive Differential Evolution Algorithm," Renewable Energy, vol. 121, pp. 400-411, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[12] Ahmad Al-Sarraj et al., "Simulation Design of Hybrid System (Grid/Pv/Wind Turbine/ Battery /Diesel) with Applying Homer: A Case Study in Baghdad, Iraq," SSRG International Journal of Electronics and Communication Engineering, vol. 7, no. 5, pp. 10-18, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[13] Tamer Khatib, Azah Mohamed, and K. Sopian, "Optimization of a Pv/Wind Micro-Grid for Rural Housing Electrification Using a Hybrid Iterative/Genetic Algorithm: Case Study of Kuala Terengganu, Malaysia," Energy and Buildings, vol. 47, pp. 321-331, 2012.
[CrossRef] [Google Scholar] [Publisher Link]
[14] A. AlKassem, M. Al Ahmadi, and A. Draou, "Modeling and Simulation Analysis of A Hybrid Pv-Wind Renewable Energy Sources for A Micro-Grid Application," 2021 9th International Conference on Smart Grid Icsmartgrid), IEEE, pp. 103-106, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[15] Zakria Qadir et al., "Predicting the Energy Output of Hybrid Pv–Wind Renewable Energy System Using Feature Selection Technique for Smart Grids," Energy Reports, vol. 7, pp. 8465-8475, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[16] Ahmed Fathy, Khaled Kaaniche, and Turki M. Alanazi, "Recent Approach Based Social Spider Optimizer for Optimal Sizing of Hybrid Pv/Wind/Battery/Diesel Integrated Microgrid in Aljouf Region," IEEE Access, vol. 8, pp. 57630-57645, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[17] Harshal D. Vaidya, Dr. S. M. Badave, and Ruchita P. Dahad, "Hardware Implementation of Non-Isolated Sextuple Output Hybrid Converter," International Journal of Engineering Trends and Technology, vol. 67, no. 11, pp. 174-183, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[18] Linus A. Alwal, Peter K. Kihato, and Stanley I. Kamau, "A Review of Control Strategies for Microgrid with Pv-Wind Hybrid Generation Systems," Proceedings of the Sustainable Research and Innovation Conference, 2022.
[Google Scholar] [Publisher Link]
[19] Yinghao Shan et al., "Model Predictive Control of Bidirectional Dc–Dc Converters and Ac/Dc Interlinking Converters—A New Control Method for Pv-Wind-Battery Microgrids," IEEE Transactions on Sustainable Energy, vol. 10, no. 4, pp. 1823-1833, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[20] R. Rajasekaran, and P. Usha Rani, "Bidirectional Dc-Dc Converter for Microgrid in Energy Management System," International Journal of Electronics, vol. 108, no. 2, pp. 322-343, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[21] Edgar Apaza Huallpa et al., "Low Power and Cost-Optimized Equipment Design for the Measurement of Resistivity in Austenitic Steels," International Journal of Engineering Trends and Technology, vol. 69, no. 10, pp. 15-19, 2021.
[CrossRef] [Publisher Link]
[22] Mohammed Kharrich, Mohamed Akherraz, and Yassine Sayouti, "Optimal Sizing and Cost of a Microgrid Based in PV, Wind and Bess for a School of Engineering," 2017 International Conference on Wireless Technologies, Embedded and Intelligent Systems Wits), IEEE, pp. 1-5, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[23] Raja Mouachi et al., "Multiobjective Sizing of an Autonomous Hybrid Microgrid Using a Multimodal Delayed PSO Algorithm: A Case Study of a Fishing Village," Computational Intelligence and Neuroscience, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[24] Ali Dali et al., "Development of a Sizing Interface for Photovoltaic-Wind Microgrid Based on Pso-Lpsp Optimization Strategy," 2018 International Conference on Wind Energy and Applications in Algeria Icweaa), IEEE, pp. 1-5, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[25] Phanom Tawdee et al., "Effects of Voltage Gain and Power Losses in Z Source Converter Circuit Using Zero Voltage Switch," International Journal of Engineering Trends and Technology, vol. 70, no. 8, pp. 126-131, 2022.
[CrossRef] [Publisher Link]
[26] Ahmed A. Zaki Diab et al., "Application of Different Optimization Algorithms for Optimal Sizing of Pv/Wind/Diesel/Battery Storage Stand-Alone Hybrid Microgrid," IEEE Access, vol. 7, pp. 119223-119245, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[27] M Durairasan, and Divya Balasubramanian, "An Efficient Control Strategy for Optimal Power Flow Management From a Renewable Energy Source to A Generalized Three-Phase Microgrid System: A Hybrid Squirrel Search Algorithm with Whale Optimization Algorithm Approach," Transactions of the Institute of Measurement and Control, vol. 42, no. 11, pp. 1960-1976, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[28] Muhammad Hamza Zafar, Noman Mujeeb Khan, and Umer Amir Khan, "Short Term Hybrid Pv/Wind Power Forecasting for Smart Grid Application using Feed Forward Neural Network (FNN) Trained by a Novel Atomic Orbital Search (AOS) Optimization Algorithm," 2021 International Conference on Frontiers of Information Technology Fit, IEEE, pp. 72-77, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[29] Sajid Hussain Qazi, M.A Uqaili, and U Sultana, "Whales Optimization Algorithm Based Enhanced Power Controller for an Autonomous Microgrid System," 2019 8th International Conference on Modern Power Systems MPS, IEEE, pp. 1-7, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[30] H.S. Ramadan, "Optimal Fractional Order Pi Control Applicability for Enhanced Dynamic Behavior of on-Grid Solar Pv Systems," International Journal of Hydrogen Energy, vol. 42, no. 7, pp. 4017-4031, 2017.
[CrossRef] [Google Scholar] [Publisher Link]