Efficient Power Management System of PV, Fuel Cell and Bess-Based DC Microgrid System

  IJRES-book-cover  International Journal of Recent Engineering Science (IJRES)          
  
© 2024 by IJRES Journal
Volume-11 Issue-4
Year of Publication : 2024
Authors : E. Kalaiyarasan, S. Singaravelu
DOI : 10.14445/23497157/IJRES-V11I4P111

How to Cite?

E. Kalaiyarasan, S. Singaravelu, "Efficient Power Management System of PV, Fuel Cell and Bess-Based DC Microgrid System," International Journal of Recent Engineering Science, vol. 11, no. 4, pp. 81-92, 2024. Crossref, https://doi.org/10.14445/23497157/IJRES-V11I4P111

Abstract
This study explores a state-of-the-art power management system for a DC microgrid, integrating a 1 kW, 120 V Photovoltaic (PV) system and a Proton Exchange Membrane Fuel Cell (PEMFC), both employing Adaptive Neuro-Fuzzy Inference System (ANFIS) Maximum Power Point Tracking (MPPT) controllers. The PV system, with a 220 V output, utilizes a Switched Inductor DC-DC (SIDC) converter, which optimizes the energy conversion. Simultaneously, the PEMFC delivered 1.26 kW at 220 V by integrating ANFIS MPPT control and a SIDC converter for heightened efficiency. The Battery Energy Storage System (BESS) incorporates a bidirectional converter with a Proportional-Integral (PI) controller, facilitating optimal bidirectional power flow for efficient charging and discharging operations. Central to the microgrid is a DC bus architecture that promotes seamless integration among PV, PEMFC and BESS components. The DC load ranges from 500 to 700W and has been integrated with the DC bus. This robust Power Management System, including protective mechanisms, ensures the microgrid's stability and reliability. The power Management System incorporates predictive analytics by orchestrating the dynamic operation of PV, PEMFC and BESS components to meet fluctuating energy demand. The power management across the DC micro-grid is studied by three different scenarios based on demand-side management. This work contributes to the evolving landscape of microgrid technology, aligning with current trends in sustainable energy solutions. The detailed exploration of specific components, including ANFIS MPPT controllers, SIDC converters and bidirectional BESS control, provides valuable insights into the technical intricacies and challenges associated with this integrated approach.

Keywords
Energy, ANFIS, Microgrid, Photovoltaics, BESS, Green energy.

Reference
[1] Rahmat Khezri, Amin Mahmoudi, and Hirohisa Aki, “Optimal Planning of Solar Photovoltaic and Battery Storage Systems for GridConnected Residential Sector: Review, Challenges and New Perspectives,” Renewable and Sustainable Energy Reviews, vol. 153, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[2] Jiangyan Yan, Jiangyan Yan, and Yajun Wang “A Model of PEMFC-Battery System to Evaluate Inner Operating Status and Energy Consumption Under Different Energy Management Strategies,” International Journal of Hydrogen Energy, vol. 47, no.5, pp. 3075-3086, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[3] Velamuri Suresh, Nikhil Pachauri, and T. Vigneysh, “Decentralized Control Strategy for Fuel Cell/PV/BESS Based Microgrid Using Modified Fractional Order PI Controller,” International Journal of Hydrogen Energy, vol. 46, no. 5, pp. 4417-4436, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[4] Suchismita Patel, Arnab Ghosh, and Pravat Kumar Ray, “Efficient Power Management and Control of DC Microgrid with SupercapacitorBattery Storage Systems,” Journal of Energy Storage, vol. 73, Part C, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[5] Zheng Nie et al., “Research on Bi-Directional DC / DC Converter for Energy Storage System,” IOP Conference Series: Earth and Environmental Science: 2020 3rd International Conference on Energy and Power Engineering, Shanghai, China, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[6] Promphak Boonraksa et al., “Design and Simulation of MPPT for PV Systems Using ANFIS Algorithm,” 2023 International Electrical Engineering Congress (iEECON), Krabi, Thailand, pp. 425-428, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[7] Ramesh Gugulothu, Bhookya Nagu, and Deepak Pullaguram, “Energy Management Strategy for Standalone DC Microgrid System with Photovoltaic/Fuel Cell/Battery Storage,” Journal of Energy Storage, vol. 57, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[8] Olfa Boubaker, “MPPT Techniques for Photovoltaic Systems: A Systematic Review in Current Trends and Recent Advances in Artificial Intelligence,” Discover Energy, vol. 3, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[9] Rohit Nandi, Manoj Tripathy, and Chandra Prakash Gupta, “Coordination of BESS and PV System with Bidirectional Power Control Strategy in AC Microgrid,” Sustainable Energy, Grids and Networks, vol. 34, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[10] Kyeong-Hee Cho et al., “Optimal Sizing Strategy and Economic Analysis of PV-ESS for Demand Side Management,” Journal of Electrical Engineering & Technology, vol. 19, pp. 2859–2874, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[11] Eleanya Nduka, “Reducing Carbon Footprint by Replacing Generators with Solar PV Systems: A Contingent Valuation Study in Lagos, Nigeria,” Environment and Development Economics, vol. 28, no. 4, pp. 387–408, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[12] Olga Moraes Toledo, Delly Oliveira Filho, and Antônia Sônia Alves Cardoso Diniz, “Distributed Photovoltaic Generation and Energy Storage Systems: A Review,” Renewable & Sustainable Energy Reviews, vol. 14, no. 1, pp. 506-511, 2010.
[CrossRef] [Google Scholar] [Publisher Link]
[13] Adam Hirsch, Yael Parag, and Josep M. Guerrero, “Microgrids: A Review of Technologies, Key Drivers, and Outstanding Issues,” Renewable and Sustainable Energy Reviews, vol. 90, pp. 402-411, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[14] Yun Wang et al., “A Review of Polymer Electrolyte Membrane Fuel Cells: Technology, Applications, and Needs on Fundamental Research,” Applied Energy, vol. 88, no. 4, pp. 981-1007, 2011.
[CrossRef] [Google Scholar] [Publisher Link]
[15] Adam Z. Weber, Sivagaminathan Balasubramanian, and Prodip K. Das, “Chapter 2 - Proton Exchange Membrane Fuel Cells,” Advances in Chemical Engineering, vol. 41, pp. 65-144, 2012.
[CrossRef] [Google Scholar] [Publisher Link]
[16] Eduardo Mg Rodrigues et al., “Comparison of Battery Models for Energy Storage Applications on Insular Grids,” 2015 Australasian Universities Power Engineering Conference (AUPEC), Wollongong, NSW, Australia, pp. 1-6, 2015.
[CrossRef] [Google Scholar] [Publisher Link]
[17] Ahmed Al-Hmouz et al., “Modeling and Simulation of an Adaptive Neuro-Fuzzy Inference System (ANFIS) for Mobile Learning,” IEEE Transactions on Learning Technologies, vol. 5, no. 3, pp. 226-237, 2012.
[CrossRef] [Google Scholar] [Publisher Link]
[18] Remon Das, and Md. Ashraf UddinChowdhury, “PI Controlled Bi-Directional DC-DC Converter (BDDDC) and Highly Efficient Boost Converter for Electric Vehicles,” 2016 3rd International Conference on Electrical Engineering and Information Communication Technology (ICEEICT), Dhaka, Bangladesh, pp. 1-5, 2016.
[CrossRef] [Google Scholar] [Publisher Link]