Synthesis of modeling and optimal management of smart grids
Abstract
Smart grids may be characterized as the amalgamation of electrical grids, communication networks, specialized hardware, and computational intelligence (algorithms). This integration aims to oversee, regulate, and coordinate the generation, distribution, storage, and utilization of energy. Indeed, smart grid technologies have the potential to facilitate the distribution of substantial quantities of power generated from renewable sources. For this purpose, a comprehensive modeling approach is employed to simplify and enhance the feasibility of the task. It introduces a highly intricate system where modeling the components and relationships between entities proves challenging. Optimal energy management is necessary in this case. This paper provides a summary of an investigation into the modeling and optimal management of smart grids. In fact, this work allows a discussion of a hybrid system. Then we briefly introduce the domain of conceptual modeling within the enterprise.
References
Hernandez L, Baladron C, Aguiar J.M, et al. A multi-agent system architecture for smart grid management and forecasting of energy demand in virtual power plants. Communications Magazine. 2013; 51: 106-113. doi: 10.1109MCOM.2013.6400446
Guérard G. Optimization of Energy Distribution in Smart Grids. (French) [PhD thesis]. Université de Versailles-Saint Quentin en Yvelines; 2014.
Bennour M. Contribution to Modeling and Allocation of Human Resources in Processes (French) [PhD thesis]. Montpellier 2 University of Science and Technology; 2004.
Kanchev H. Energy Management of A Hybrid Power System Including Renewable Energy Based Generators: Optimization of the Operational Planning and the Daily Adjustment for an Urban Micro Grid (French) [PhD thesis]. Université Technique de Sofia; 2014.
Bernus P, Noran O, Riedlinger J. Using the Globemen Reference Model for Virtual Enterprise Design in After Sales Service. VTT Symposium. 2003; 224.
El Khaldi J, Bouslimi L, Balti A, Lakhoua MN. Study and analysis of the methods of the enterprise modeling. Design Engineering. 2022; 1: 2945-2948.
Dey A. Dey A, Chaki N, Sanyal S. Modeling smart grid using generalized stochastic petri net. Available online: https://arxiv.org/abs/1108.4139 (accessed on 1 January 2024).
Tegani I. Optimization and Control of A Micro Smart Grid Using A Fuel Cell, Supercapacitors, Batteries, A Wind Turbine and A Photovoltaic Source (French) [PhD thesis]. Université de Mohamed Khider-Biskra; 2016.
Mladjao M, Al Anfaf M. Contribution to the Modeling and Optimization of Multi-Source and Multi-Load Energy Systems (French) [PhD thesis]. The University of Lorraine; 2016.
Seghiri R. Enterprise Architecture Modeling and Simulation—Application to Smart Grids (French) [PhD thesis]. Université Paris-Saclay préparée à centrale Supelec; 2016.
Song M, Gao C, Shahidehpour M, et al. State Space Modeling and Control of Aggregated TCLs for Regulation Services in Power Grids. IEEE Transactions on Smart Grid. 2019; 10(4): 4095-4106. doi: 10.1109/tsg.2018.2849321
De Oliveira-De Jesus PM, Antunes CH. Economic valuation of smart grid investments on electricity markets. Sustainable Energy, Grids and Networks. 2018; 16: 70-90. doi: 10.1016/j.segan.2018.05.003
Saheb-Koussa D, Bel Hamel M. Uninterrupted electricity production using a hybrid system (wind – photovoltaic – diesel), Renewable Energies Review (Frensh). ICRESD07 Tlemcen. 2007; 121-128.
Wertani H, Ben Salem J, Lakhoua MN. Application of Bond Graph of Renewable Energy Sources in Smart Grids. Journal of Electrical and Electronics Engineering. 2020; 13.
Stoyanov L. Study of Different Hybrid System Structures Using Renewable Energy Sources (French) [PhD thesis]. Pascal Paoli University; 2011.
Wertani H, Lakhoua MN. Overview of Smart Grids Architecture and Design. In: Proceedings of the 2018 International Conference on Smart Communications and Networking (SmartNets); 16-17 November 2018; Yasmine Hammamet, Tunisia. pp. 1-5. doi: 10.1109/smartnets.2018.8707404
Assem H. Control and Power Management Strategy for Photovoltaic-Battery Hybrid Systems [PhD thesis]. University of Sciences and Technology Houari Boumediene; 2021.
Boukettaya G, Krichen L. A dynamic power management strategy of a grid connected hybrid generation system using wind, photovoltaic and Flywheel Energy Storage System in residential applications. Energy. 2014; 71: 148-159. doi: 10.1016/j.energy.2014.04.039
El Khaldi J, Warteni H, Bousslimi L, Lakhoua MN. Overview on modeling and management of Smart Grids. Independent Journal of Management & Production. 2021; 12(5): 1453-1465. doi: 10.14807/ijmp.v12i5.1379
Woroghi I, Maach A, Hafid A. Modeling a Smart Grid using Objects Interaction. In: Proceedings of the 2015 3rd International Renewable and Sustainable Energy Conference (IRSEC); 10-13 December 2015; Marrakech, Morocco. pp. 1-6. doi: 10.1109/IRSEC.2015.7454968
Amit S, Anile M, Nitesh F, et al. An overview of demand response in smart grid and optimization techniques for efficient residential appliance scheduling problem. Energies. 2020, 13: 4266. doi: 10.3390/en13164266
Jabban A. Optimization and Analysis of Smart Grids and Heterogeneous Networks (French). INSA de Rennes; 2013.
Nasraoui K, Lakhoua MN, El Amraoui L. Analysis and Modeling of a Wind Power System based on SysML. In: Proceedings of the International Conference on Recent Advances in Electrical Systems; 20-22 December 2016; Hammamet, Tunisia.
Chabaud A. Smart Microgrid for Energy Resource Management (French) [PhD thesis]. University of Perpignan; 2014.
Touzi J. Service-Oriented Design of A Collaborative Information System (French). Toulouse; 2006.
Jiang B, Fei Y. Decentralized scheduling of PEV on-street parking and charging for smart grid reactive power compensation. In: Proceedings of the 2013 4th IEEE PES Innovative Smart Grid Technologies. 6-9 October 2013; Lyngby, Denmark. pp. 1-6.
Khalid A, Kent S, Andrew W, et al. Accounting for forecast uncertainty in the optimized operation of energy storage. In: Innovative Smart Grid Technologies-Asia (ISGT-Asia). IEEE; 2016. pp. 183-189.
Copyright (c) 2024 Jihen El Khaldi, Lotfi Bouslimi, Mohamed Najeh Lakhoua
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors contributing to this journal agree to publish their articles under the Creative Commons Attribution 4.0 International License, allowing third parties to share their work (copy, distribute, transmit) and to adapt it for any purpose, even commercially, under the condition that the authors are given credit. With this license, authors hold the copyright.