Integrating Multi-Agent System Control in Hybrid Microgrid System for Energy Management System

International Journal of Electrical and Electronics Engineering

© 2024 by SSRG - IJEEE Journal

Volume 11 Issue 9

Year of Publication : 2024

Authors : K. Praveen Kumar Reddy, P. Balachennaiah

10.14445/23488379/IJEEE-V11I9P120

How to Cite?

K. Praveen Kumar Reddy, P. Balachennaiah, "Integrating Multi-Agent System Control in Hybrid Microgrid System for Energy Management System," SSRG International Journal of Electrical and Electronics Engineering, vol. 11,  no. 9, pp. 224-232, 2024. Crossref, https://doi.org/10.14445/23488379/IJEEE-V11I9P120

Abstract:

Microgrids are decentralized power systems installed at customer locations, featuring a range of generating units and operational modes. These systems are designed to meet the specific energy requirements of users while also supplying surplus power back to the main grid. Often incorporating Renewable Energy Sources (RES) such as solar PV cells, wind generators, and batteries, microgrids are valued for their compact size and flexible configurations. To maintain stable operation across these diverse energy sources, a Multi-Agent System (MAS) is utilized. This MAS is tailored for modeling and autonomous decision-making. The study focuses on a microgrid equipped with wind power, solar PV power, battery, and a local electrical load, collectively forming the Hybrid Microgrid System (HMGS). The simulation is developed using the Java Agent Development Environment (JADE), which facilitates effective management of the system's varied components. The primary goal of this study is to assess the performance and reliability of the HMGS, with a particular focus on the role of the MAS in managing the complex interactions between different power sources to ensure sustainable and efficient operation. 

Keywords:

Energy management system, Hybrid microgrid system, Java agent development framework, Multi-agent control system, Solar power, Wind power.

References:

[1] Abdul Haseeb Sajid et al., “Multi-Micro Grid System Reinforcement across Deregulated Markets, Energy Resources Scheduling and Demand Side Management Using a Multi-Agent-Based Optimization in Smart Grid Paradigm,” IEEE Access, vol. 12, pp. 21543-21558, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[2] Yimy E. Garcia Vera, Rodolfo Dufo-Lopez, and Jose L. Bernal-Agustin, “Energy Management in Microgrids with Renewable Energy Sources: A Literature Review,” Applied Sciences, vol. 9, no. 18, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[3] Reda Jabeur et al., “Microgrid Energy Management System for Smart Home Using Multi-Agent System,” International Journal of Electrical and Computer Engineering, vol. 12, no. 2, pp. 1153-1160, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[4] M. Reyasudin Basir Khan et al., “Optimal Grid-Connected PV System for a Campus Microgrid,” Indonesian Journal of Electrical Engineering and Computer Science, vol. 12, no. 3, pp. 899-906, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[5] Surender Reddy Salkuti, “Solving Optimal Generation Scheduling Problem of Microgrid Using Teaching Learning-Based Optimization Algorithm,” Indonesian Journal of Electrical Engineering and Computer Science, vol. 17, no. 3, pp. 1632-1638, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[6] Daniel E. Olivares, Claudio A. Cañizares, and Mehrdad Kazerani, “A Centralized Energy Management System for Isolated Microgrids,” IEEE Transactions on Smart Grid, vol. 5, no. 4, pp. 1864-1875, 2014.
[CrossRef] [Google Scholar] [Publisher Link]
[7] Subhashree Choudhury et al., “Optimal Control of Islanded Microgrid with Adaptive Fuzzy Logic & PI Controller Using HBCC under Various Voltage & Load Variation,” 2016 International Conference on Circuit, Power and Computing Technologies (ICCPCT), Nagercoil, India, pp. 1-8, 2016.
[CrossRef] [Google Scholar] [Publisher Link]
[8] Malek Ramezani, and Shuhui Li, “Voltage and Frequency Control of Islanded Microgrid Based on Combined Direct Current Vector Control and Droop Control,” 2016 IEEE Power and Energy Society General Meeting (PESGM), Boston, MA, USA, pp. 1-5, 2016.
[CrossRef] [Google Scholar] [Publisher Link]
[9] Yuan Meng, “A Rule-Based Energy Management System for Smart Micro-Grid,” 2019 29th Australasian Universities Power Engineering Conference (AUPEC), Nadi, Fiji, pp. 1-6, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[10] Ayberk Calpbinici et al., “Design of an Energy Management System for AC/DC Microgrid,” 2021 3rd Global Power, Energy and Communication Conference (GPECOM), Antalya, Turkey, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[11] Suganthi Neelagiri, and Pasumarthi Usha, “Modelling and Control of Grid Connected Microgrid with Hybrid Energy Storage System,” International Journal of Power Electronics and Drive Systems (IJPEDS), vol. 14, no. 3, pp. 1791-1801, 2023. [CrossRef] [Google Scholar] [Publisher Link]
[12] T. Bogaraj, and J. Kanakaraj, “Intelligent Energy Management Control for Independent Microgrid,” Sadhana, vol. 41, no. 7, pp. 755-769, 2016.
[CrossRef] [Google Scholar] [Publisher Link]
[13] H.S.V.S. Kumar Nunna, and Suryanarayana Doolla, “Energy Management in Microgrids Using Demand Response and Distributed Storage-A Multiagent Approach,” IEEE Transactions on Power Delivery, vol. 28, no. 2, pp. 939-947, 2013.
[CrossRef] [Google Scholar] [Publisher Link]
[14] Sajad Ghorbani, R. Rahmani, and Rainer Unland, “Multi-Agent Autonomous Decision Making in Smart Micro-Grids’ Energy Management: A Decentralized Approach,” Multiagent System Technologies, pp. 223-237, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[15] Roberto S. Netto et al., “Real-Time Framework for Energy Management System of a Smart Microgrid Using Multiagent Systems,” Energies, vol. 11, no. 3, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[16] Leo Raju, R.S. Milton, and Antony Amalraj Morais, “Multi Agent System Based Distributed Energy Management of a Micro-Grid,” International Journal of Control Theory and Applications, vol. 8, no. 5, pp. 1947-1953. 2015.
[Google Scholar]
[17] Leo Raju, R.S. Milton, and Senthilkumaran Mahadevan, “Implementation of Energy Management and Demand Side Management of a Solar Micro-Grid Using a Hybrid Platform,” Turkish Journal of Electrical Engineering and Computer Sciences, vol. 25, no. 3, pp. 2219-2231, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[18] H.N. Aung et al., “Agent-Based Intelligent Control for Real-Time Operation of a Microgrid,” 2010 Joint International Conference on Power Electronics, Drives and Energy Systems & 2010 Power India, New Delhi, India, pp. 1-6, 2010.
[CrossRef] [Google Scholar] [Publisher Link]
[19] Sihem Amara, Sana Toumi, and Chokri Ben Salah, “Modeling and Simulation of Hybrid Renewable Microgrid System,” 2020 17th International Multi-Conference on Systems, Signals & Devices (SSD), Monastir, Tunisia, pp. 1074-1079, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[20] M. Pipattanasomporn, H. Feroze, and S. Rahman, “Multi-Agent Systems in a Distributed Smart Grid: Design and Implementation” 2009 IEEE/PES Power Systems Conference and Exposition, Seattle, WA, USA, pp. 1-8, 2009.
[CrossRef] [Google Scholar] [Publisher Link]
[21] Wei Zhang et al., “Distributed Online Optimal Energy Management for Smart Grids,” IEEE Transactions on Industrial Informatics, vol. 11, no. 3, pp. 717-727, 2015.
[CrossRef] [Google Scholar] [Publisher Link]
[22] JADE Tool Kit. [Online]. Available: http://www.jade.tlab.com
[23] The Foundation for Intelligent Physical Agent (FIPA). [Online]. Available: www.fipa.org
[24] Ratna Kumari Vemuri et al., “Intelligent-of-Things Multi Agent System for Smart Home Energy Monitoring,” Indonesian Journal of Electrical Engineering and Computer Science, vol. 34, no. 3, pp. 1858-1867, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[25] Muhammad Waseem Khan et al., “Optimal Energy Management and Control Aspects of Distributed Microgrid Using Multi-Agent Systems,” Sustainable Cities and Society, vol. 44, pp. 855-870, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[26] Mohamed Azeroual et al., “Simulation Tools for a Smart Grid and Energy Management for Microgrid with Wind Power Using Multi-Agent System,” Wind Engineering, vol. 44, pp. 661-672, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[27] H.S.V.S. Kumar Nunna et al., “Multiagent-Based Energy Trading Platform for Energy Storage Systems in Distribution Systems with Interconnected Microgrids,” IEEE Transactions on Industry Applications, vol. 56, no. 3, pp. 3207-3217, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[28] Md Habib Ullah et al., “A Computationally Efficient Consensus-Based Multiagent Distributed EMS for DC Microgrids,” IEEE Transactions on Industrial Electronics, vol. 68, no. 6, pp. 5425-5435, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[29] Bin Zhou et al., “Multi-Microgrid Energy Management Systems: Architecture, Communication, and Scheduling Strategies,” Journal of Modern Power Systems and Clean Energy, vol. 9, no. 3, pp. 463-476, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[30] Suji Arikara, Rajesh Kumar, and Ramesh C. Bansal, “An Intelligent Multi Agent Based Approach for Autonomous Management in a Microgrid,” Electric Power Components and Systems, vol. 49, no. 2, pp. 18-31, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[31] Woon-Gyu Lee et al., “Consensus-Based Hybrid Multiagent Cooperative Control Strategy of Microgrids Considering Load Uncertainty,” IEEE Access, vol. 10, pp. 88798-88811, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[32] Mahyar Tofighi-Milani et al., “A Novel Distributed Paradigm for Energy Scheduling of Islanded Multiagent Microgrids,” IEEE Access, vol. 10, pp. 83636-83649, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[33] Y.S. Foo. Eddy, H.B. Gooi, and S.X. Chen, “Multi-Agent System for Distributed Management of Microgrids,” IEEE Transactions on Power Systems, vol. 30, no. 1, pp. 24-34, 2015.
[CrossRef] [Google Scholar] [Publisher Link]
[34] T. Srikanth, and S. Chart Selvi, “A Novel Centralized Supervisory with Distributed Control System-Based Microgrid,” AUTOMATIKA - Journal for Control, Measurement, Electronics, Computing and Communications, vol. 63, no. 3, pp. 482-495, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[35] Fengji Luo et al., “Multi Agent Based Cooperative Control Framework for Microgrids Energy Imbalance,” IEEE Transactions on Industrial Informatics, vol. 13, no. 3, pp. 1046-1056, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[36] Zi Qi Shen et al., “Design and Implementation of Microgrid SCADA Platform,” Advanced Materials Research, vol. 732-733, pp. 1358-1364, 2013.
[CrossRef] [Google Scholar] [Publisher Link]