Research Article |
Effective Energy Management System in Microgrid Employing Model Predictive Controller
Author(s): Sujatha Banka* and D. V. Ashok Kumar
Published In : International Journal of Electrical and Electronics Research (IJEER) Volume 12, Issue 4
Publisher : FOREX Publication
Published : 15 October 2024
e-ISSN : 2347-470X
Page(s) : 1136-1141
Abstract
The primary focus of this study is to develop an energy management system that regulates the energy transfers between the hybrid microgrid system and the loads connected to it, and the grid via MATLAB/Simulink so as to model the flow of energy. The secondary aim is to make recommendations aimed at the charging and discharging of what is referred to as the hybrid energy storage system (HESS). The results indicate that the proposed algorithm successfully carried out the required task of bridging the HESS charging to discharging ratio in relation to the different operating conditions as well as power management between the microgrid and the network. In this application, a stronger charging power might be employed on the HESS. It has been seen that the HESS is more likely to complete charging within a short time than the greater charging power. A more advanced and efficient energy management system is critical to the microgrid system so that the generation can keep pace with the requirements of the load profile. It is important to take account of load forecasting with regard to power planning and executing so as to know the most suitable action that should be taken. To achieve a general reduction in the cost of operation, in this paper, we propose the use of an advanced Energy Management System (EMS), Model Predictive Control (MPC), to effectively manage the allocation of power in the microgrid.
Keywords: Energy Management System (EMS)
, Hybrid Energy Storage System (HESS)
, forecast uncertainties
, Model Predictive Control (MPC)
, microgrids
, optimization
.
Sujatha Banka*, Research Scholar, Department of Electrical and Electronics Engineering, Jawaharlal Nehru Technological University Anantapur, Ananthapuramu, A.P, India; Email: sujathareddy4311@gmail.com
D. V. Ashok Kumar, Professor, Department of Electrical and Electronics Engineering, RGM College of Engineering and Technology, Nandyal, Affiliated to Jawaharlal Nehru Technological University Anantapur, Ananthapuramu, A.P, India
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[1] Arunkumar, A.P.; Kuppusamy, S.; Muthusamy, S.; Pandiyan, S.; Panchal, H.; Nagaiyan, P. An Extensive Review on Energy Management System for Microgrids. Energy Sources Part A Recovery Util. Environ. Eff. 2022, 44, 4203–4228. [CrossRef]
-
[2] Kaluthanthrige, R.; Rajapakse, A. Demand Response Integrated Day-Ahead Energy Management Strategy for Remote off-Grid Hybrid Renewable Energy Systems. Int. J. Electr. Power Energy Syst. 2021, 129, 106731. [CrossRef]
-
[3] Tran, H.G.; Thao, N.G.M.; TonThat, L. Energy Management and Optimization Method Based on Lagrange Multiplier for Microgrid with Considerations of Electricity Price and Vehicle. In Proceedings of the 10th Global Conference on Consumer Electronics (GCCE), Kyoto, Japan, 12–15 October 2021. [CrossRef]
-
[4] Haider, Z.M.; Mehmood, K.K.; Khan, S.U.; Khan, M.O.; Wadood, A.; Rhee, S.-B. Optimal Management of a Distribution Feeder During Contingency and Overload Conditions by Harnessing the Flexibility of Smart Loads. IEEE Access 2021, 9, 40124–40139. [CrossRef]
-
[5] Ali, S.; Zheng, Z.; Aillerie, M.; Sawicki, J.-P.; Péra, M.-C.; Hissel, D. A Review of DC Microgrid Energy Management Systems Dedicated to Residential Applications. Energies 2021, 14, 4308. [CrossRef]
-
[6] Elmouatamid, A.; Ouladsine, R.; Bakhouya, M.; Kamoun, N.E.; Khaidar, M.; Zine-Dine, K. Review of Control and Energy Management Approaches in Micro-Grid Systems. Energies 2020, 14, 168. [CrossRef]
-
[7] Hong, Y.-Y.; Apolinario, G.F.D. Uncertainty in Unit Commitment in Power Systems: A Review of Models, Methods, and Applications. Energies 2021, 14, 6658. [CrossRef]
-
[8] Muhammad Waseem Khan, Jie Wang, Linyun Xiong and Sunhua Huang. “Architecture of a Microgrid and Optimal Energy Management System”, 2020 in Web of Science , Intech open.
-
[9] Anindita Das Mondal,Dr. Nasim Ali Khan and Asif Ikba “A study on load sensitive power generation in Hybrid Renewable Energy system using Evolutionary Algorithms based -Energy Management System Control” , J. Indian Chem. Soc. Vol. 97, October(B) 2020.
-
[10] Shayeghi, H.; Shahryari, E.; Moradzadeh, M.; Siano, P. A Survey on Microgrid Energy Management Considering Flexible Energy Sources. Energies 2019, 12, 2156. [CrossRef]
-
[11] García Vera YE, Dufo-López R, Bernal-Agustín JL. Energy Management in Microgrids with Renewable Energy Sources:A Literature Review.Applied Sciences.2019;9(18):3854.
-
[12] Zia,Muhammad Fahad & Elbouchikhi,Elhoussin & Benbouzid, Mohamed. “Microgrids energy management systems: A critical review on methods, solutions, and prospects”, Applied Energy, 2018 ;222. 1033-1055.
-
[13] Eun-Kyu Lee,Wenbo Shi,Rajit Gadh and Wooseong Kim, “Design and Implementation of a Microgrid Energy Management System”,www.mdpi.com/journal/sustainability, 2016.
-
[14] Baseem Khan and Pavan Singh, “Selecting a meta-heuristic technique for Smart Micro-Grid Optimization problem; A comprehensive analysis” IEEE Access Multidisciplinary, Volume 5, 2017.
-
[15] M. Marzband, F. Azarinejadian, M. Savaghebi and J. M. Guerrero, "An Optimal Energy Management System for Islanded Microgrids Based on Multiperiod Artificial Bee Colony Combined With Markov Chain," in IEEE Systems Journal, vol. 11, no. 3, pp. 1712-1722, Sept. 2017.
-
[16] Luis I. Minchala-Avila, Luis E. Garza-Castañón, Adriana Vargas-Martínez, Youmin Zhang,”A Review of Optimal Control Techniques Applied to the Energy Management and Control of Microgrids”, Procedia Computer Science, Volume 52,2015. pp 780-787.
-
[17] C. Suchetha and J. Ramprabhakar, “Optimization Techniques for Operation and Control of Microgrids– Review”, Journal of Green Engineering, Vol. 84, 621–644., River Publishers.