This is a preview and has not been published. View submission

Analysis of a Multilevel Voltage-Based Coordinating Controller for Solar-Wind Energy Generator: A Simulation, Development and Validation Approach

Authors

  • T. Lachumanan Faculty of Electronics and Computer Engineering, Universiti Teknikal Malaysia Melaka, Malaysia
  • R. Singh Faculty of Electronics and Computer Engineering, Universiti Teknikal Malaysia Melaka, Malaysia
  • M. I. Shapiai Centre of Artificial Intelligence and Robotic iKohza Malaysia – Japan International Institute of Technology, Universiti Teknologi Malaysia, Malaysia
  • T. J. S. Anand Faculty of Mechanical and Manufacturing Engineering Technology, Universiti Teknikal Malaysia Melaka, Malaysia
Volume: 11 | Issue: 6 | Pages: 7793-7799 | December 2021 | https://doi.org/10.48084/etasr.4489

Abstract

This paper presents the development and the performance analysis of the developed model of a voltage-based coordinating controller. This model is developed to perform activities such as sensing, measuring, switching, coordinating, and effectively managing the output voltages produced by the solar-wind renewable energy sources in order to supply the connected load or/and charge the battery storage system. The developed model has different tasks to perform when solar-wind energy sources both produce output voltages simultaneously, also contributing to solving the requirements of different synchronization algorithms for a multi-agent renewable energy system. The sensed and measured output voltages of the solar-wind energy sources are used as directive information to allow the developed model’s controller to supply the available power to the connected load or/and charge the battery storage system. Also, the produced information at the model’s controller input is used to individually control the other sub-system, which directly assists in achieving the aim of simultaneous operation when both solar and wind energy sources produce output voltages. The model is developed and simulated in Matlab/Simulink. The simulation results are used to validate the developed methodology and the aims of the developed model.

Keywords:

voltage-based, coordinating controller, renewable energy sources, Matlab/Simulink, solar-wind

Downloads

Download data is not yet available.

References

Md. S. Alam, F. S. Al-Ismail, A. Salem, and M. A. Abido, "High-Level Penetration of Renewable Energy Sources Into Grid Utility: Challenges and Solutions," IEEE Access, vol. 8, pp. 190277–190299, 2020, https://doi.org/10.1109/ACCESS.2020.3031481.

Md. S. Alam, F. S. Al-Ismail, A. Salem, and M. A. Abido, "High-Level Penetration of Renewable Energy Sources Into Grid Utility: Challenges and Solutions," IEEE Access, vol. 8, pp. 190277–190299, 2020, https://doi.org/10.1109/ACCESS.2020.3031481.

P. S. Gotekar, S. P. Muley, and D. P. Kothari, "A Single Phase Grid Connected PV System working in Different Modes," Engineering, Technology & Applied Science Research, vol. 10, no. 5, pp. 6374–6379, Oct. 2020, https://doi.org/10.48084/etasr.3746.

Y. Kassem, H. Camur, and O. a. M. Abughinda, "Solar Energy Potential and Feasibility Study of a 10MW Grid-connected Solar Plant in Libya," Engineering, Technology & Applied Science Research, vol. 10, no. 4, pp. 5358–5366, Aug. 2020, https://doi.org/10.48084/etasr.3607.

S. A. Dayo, S. H. Memon, M. A. Uqaili, and Z. A. Memon, "LVRT Enhancement of a Grid-tied PMSG-based Wind Farm using Static VAR Compensator," Engineering, Technology & Applied Science Research, vol. 11, no. 3, pp. 7146–7151, Jun. 2021, https://doi.org/10.48084/etasr.4147.

A. Al-Quraan and M. Al-Qaisi, "Modelling, Design and Control of a Standalone Hybrid PV-Wind Micro-Grid System," Energies, vol. 14, no. 16, Jan. 2021, Art. no. 4849, https://doi.org/10.3390/en14164849.

M. F. Zia, E. Elbouchikhi, and M. Benbouzid, "Microgrids energy management systems: A critical review on methods, solutions, and prospects," Applied Energy, vol. 222, pp. 1033–1055, Jul. 2018, https://doi.org/10.1016/j.apenergy.2018.04.103.

A. Anvari-Moghaddam, A. Rahimi-Kian, M. S. Mirian, and J. M. Guerrero, "A multi-agent based energy management solution for integrated buildings and microgrid system," Applied Energy, vol. 203, pp. 41–56, Oct. 2017, https://doi.org/10.1016/j.apenergy.2017.06.007.

C.-S. Karavas, G. Kyriakarakos, K. G. Arvanitis, and G. Papadakis, "A multi-agent decentralized energy management system based on distributed intelligence for the design and control of autonomous polygeneration microgrids," Energy Conversion and Management, vol. 103, pp. 166–179, Oct. 2015, https://doi.org/10.1016/j.enconman.2015.06.021.

S.-H. Yoon, S.-Y. Kim, G.-H. Park, Y.-K. Kim, C.-H. Cho, and B.-H. Park, "Multiple power-based building energy management system for efficient management of building energy," Sustainable Cities and Society, vol. 42, pp. 462–470, Oct. 2018, https://doi.org/10.1016/j.scs.2018.08.008.

P. Kofinas, A. I. Dounis, and G. A. Vouros, "Fuzzy Q-Learning for multi-agent decentralized energy management in microgrids," Applied Energy, vol. 219, pp. 53–67, Jun. 2018, https://doi.org/10.1016/j.apenergy.2018.03.017.

W. Liu et al., "Smart Micro-grid System with Wind/PV/Battery," Energy Procedia, vol. 152, pp. 1212–1217, Oct. 2018, https://doi.org/10.1016/j.egypro.2018.09.171.

G. V. B. Kumar, P. Kaliannan, S. Padmanaban, J. B. Holm-Nielsen, and F. Blaabjerg, "Effective Management System for Solar PV Using Real-Time Data with Hybrid Energy Storage System," Applied Sciences, vol. 10, no. 3, Jan. 2020, Art. no. 1108, https://doi.org/10.3390/app10031108.

O. O. Mengi and I. H. Altas, "A New Energy Management Technique for PV/Wind/Grid Renewable Energy System," International Journal of Photoenergy, vol. 2015, Mar. 2015, Art. no. e356930, https://doi.org/10.1155/2015/356930.

A. M. Abdelshafy, J. Jurasz, H. Hassan, and A. M. Mohamed, "Optimized energy management strategy for grid connected double storage (pumped storage-battery) system powered by renewable energy resources," Energy, vol. 192, Feb. 2020, Art. no. 116615, https://doi.org/10.1016/j.energy.2019.116615.

M. Chen, S. Ma, H. Wan, J. Wu, and Y. Jiang, "Distributed Control Strategy for DC Microgrids of Photovoltaic Energy Storage Systems in Off-Grid Operation," Energies, vol. 11, no. 10, Oct. 2018, Art. no. 2637, https://doi.org/10.3390/en11102637.

Y. Salgueiro, M. Rivera, and G. Nápoles, "Multi-agent-Based Decision Support Systems in Smart Microgrids," in Intelligent Decision Technologies 2019, Singapore, 2020, pp. 123–132, https://doi.org/10.1007/978-981-13-8311-3_11.

I. N. Moghaddam, "Optimal Sizing and Operation of Energy Storage Systems to Mitigate Intermittency of Renewable Energy Resources," Ph.D. dissertation, University of North Carolina at Charlotte, Charlotte, NC, USA, 2018.

R. S. S. Singh, M. Abbod, and W. Balachandran, "Renewable energy resource self-intervention control technique using Simulink/Stateflow modeling," in Proceedings of the 50th Universities Power Engineering Conference (UPEC 2015), Trent, UK, 2015, vol. 2015, https://doi.org/10.1109/UPEC.2015.7339803.

Downloads

How to Cite

[1]
T. Lachumanan, R. Singh, M. I. Shapiai, and T. J. S. Anand, “Analysis of a Multilevel Voltage-Based Coordinating Controller for Solar-Wind Energy Generator: A Simulation, Development and Validation Approach”, Eng. Technol. Appl. Sci. Res., vol. 11, no. 6, pp. 7793–7799, Dec. 2021.

Metrics

Abstract Views: 13
PDF Downloads: 16

Metrics Information
Bookmark and Share

Most read articles by the same author(s)