Design of an Intelligent System for Controlling and Balancing Renewable Energy Flows in an Autonomous Micro-Grid
DOI:
https://doi.org/10.52825/thwildauensp.v1i.27Keywords:
Micro-grid, sensor network, flow balancing, microcontroller, intelligent system, IoT, 5GAbstract
Pooling different renewable energy sources (hydrogen, solar, wind, geothermal, etc.) enables developing a standalone energy micro-grid. The energy flows from these various sources are neither constant nor equivalent. Therefore, control and balancing mechanisms should be established for optimal energy utilization through an intelligent system based on interconnected microcontrollers networked with sensors. Our contribution addresses this issue by proposing an original architecture of an intelligent and distributed control system based on a sensor network and a strategy to share the electric power through the micro-grid. In our work we consider a micro-grid powered by sources of wind turbine, pv panels and battery which energy flows are controlled and balanced through our system depending on power demand of the loads. Alternating Current (AC) bus and Direct Current (DC) bus are tied together by an inverter. A set of microcontroller-sensor-actuators (which we named S.A.D for Sensor/Actuator Device) are deployed at strategic points in the micro-grid providing constantly data from power generated and consumed, equipment health and status. A control algorithm developed in relation to a network control strategy is implemented by combining the performance different microcontroller boards. Relying on existing literature works, a review of solution approaches to the challenging problem, of the power flows balancing between the different energy sources and storage batteries embedding appropriate IoT technologies and exploiting energy big-data platforms, is presented
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Kpoda K, Ajavon A, Salami A, Kodjo K, Bedja K. Concise review of microgrid concepts and architecture. Journal de la Recherche Scientifique de l’Université de Lomé. 2018;4(4):613-631.
Erbato TT, Hartkopf T. Smarter Micro Grid for energy solution to rural Ethiopia. IEEE PES ISGT (Innovative Smart Grid Technologies). 2012;:1-7. https://doi.org/https://www.doi.org/10.1109/ISGT.2012.6175608
Bekele G, Boneya G. Design of a Photovoltaic-Wind Hybrid Power Generation System for Ethiopian Remote Area. Energy Procedia. 2012;14:1760–1765. https://doi.org/https://doi.org/10.1016/j.egypro.2011.12.1164
Dileep G. A survey on smart grid technologies and applications. Renew. Energy. 2020;. https://doi.org/https://doi.org/10.1016/j.renene.2019.08.092
Ustun TS, Ozansoy C, Zayegh A. Recent developments in microgrids and example cases around the world - A review. Energy Reviews. 2011;. https://doi.org/https://doi.org/10.1016/j.rser.2011.07.033
Patrao I, Figueres E, Garcerá G, González-Medina R. Microgrid architectures for low voltage distributed generation. Renewable and Sustainable Energy Reviews. 2015;. https://doi.org/https://doi.org/10.1016/j.rser.2014.11.054
Hatziargyriou N. Microgrids: Architectures and Control. March 2014 Wiley-IEEE Press; 2014.
Liu X, Wang P, Loh PC. A hybrid AC/DC microgrid and its coordination control. IEEE Trans. Smart Grid. 2011;. https://doi.org/https://www.doi.org/10.1109/TSG.2011.2116162
Lo CH, Ansari N. Decentralized controls and communications for autonomous distribution networks in smart grid. IEEE Transactions on Smart Grid. 2013;4(1):66-77. https://doi.org/https://www.doi.org/10.1109/TSG.2012.2228282
Das S, Akella AK. Power flow control of PV-wind-battery Hybrid Renewable Energy Systems for stand-alone application. International Journal of Renewable Energy Research. 2018;8(1):36-43.
Zhang L, Gari N, Hmurcik L. Energy management in a microgrid with distributed energy resources. Energy Convers. Manag. 2014;. https://doi.org/https://doi.org/10.1016/j.enconman.2013.10.065
Assilevi KR, Ajavon AS, Adjallah KH. Design of a virtual private network of intelligent microcontrollers for distributed control of an autonomous microgrid of renewable energy harvesters. To appear in the ICEASSM'2019 Proc., the 2nd Int. Conf. on Engineering, Applied Sciences and System Modeling (),. 2019.
Majumder R, Bag G, Kim K. Power Sharing and Control in Distributed Generation with wireless sensor networks. IEEE Power and Energy Society General Meeting. 2012;. https://doi.org/https://www.doi.org/10.1109/PESGM.2012.6344966
Graditi G, Di Silvestre ML, Gallea R, Riva Sanseverino E. Heuristic-Based Shiftable Loads Optimal Management in Smart Micro-Grids. IEEE Trans. Ind. Inf.. 2015;11((1)):271–280. https://doi.org/https://www.doi.org/10.1109/TII.2014.2331000
Amin , Bambang R, Rohman A, Dronkers K, Ortega R, Sasongko A. Energy Management of Fuel Cell/Battery/Supercapacitor Hybrid Power Sources Using Model Predictive Control. IEEE Trans. Ind. Inf.. 2014;10((4)):1992-2002. https://doi.org/https://www.doi.org/10.1109/TII.2014.2333873
Zhang L, Li Y. Optimal Energy Management of Wind-Battery Hybrid Power System With TwoScale Dynamic Programming. IEEE Trans. Sustainable Energy. 2013;4((3)):765-773. https://doi.org/https://www.doi.org/10.1109/TSTE.2013.2246875
Ashabani, S, Mohamed Y. General Interface for Power Management of Micro- Grids Using Nonlinear Cooperative Droop Control. IEEE Trans. Power Systems. 2013;28((3)):2929-294. https://doi.org/https://www.doi.org/10.1109/TPWRS.2013.2254729
Byun J, Hong I, Park S. Intelligent cloud home energy management system using household appliance priority based scheduling based on prediction of renewable energy capability. IEEE Trans. Consumer Electronics. 2012;58((4)):1194- 1201. https://doi.org/https://www.doi.org/10.1109/TCE.2012.6414985
Venkatraman K, Reddy BD, Selvan MP, Moorthi S, Kumaresan N, Gounden NA. Online condition monitoring and power management system for standalone micro-grid using FPGAs. IET Generation, Transmission and Distribution. 2016;10(15):3875-3884. https://doi.org/https://doi.org/10.1049/iet-gtd.2016.0445
Madaci B, Chenni R, Kurt E, Hemsas KE. Design and control of a stand-alone hybrid power system. International Journal of Hydrogen Energy. 2016;41(29):12485-12496. https://doi.org/https://doi.org/10.1049/iet-gtd.2016.0445
Javad Mirazimi S, Fathi M. Analysis of hybrid wind/fuel cell/battery/diesel energy system under Alaska condition. ECTI-CON 2011 - 8th Electrical Engineering/ Electronics, Computer, Telecommunications and Information Technology (ECTI) Association of Thailand - Conference 2011. 2011;:917-920. https://doi.org/10.1109/ECTICON.2011.5947990
Jayalakshmi N, Gaonkar D, Nempu PB. Power Control of PV/Fuel Cell/Super capacitor Hybrid System for Stand-Alone Applications. International Journal of Renewable Energy Research. 2016;6(2):672-679.
Malla S, Bhende C. Voltage control of stand-alone wind and solar energy system. Electrical Power and Energy Systems. 2014;56:361–373. https://doi.org/https://doi.org/10.1016/j.ijepes.2013.11.030
Betha D, Satish M, Sahu S. Design and control of grid connected PV/wind hybrid system using 3 level VSC. IEEE 7th international advance computing conference.. https://doi.org/https://doi.org/10.1109/IACC.2017.0102
Hajizadeh A, Aliakbar Golkar M. Intelligent power management strategy of hybrid distributed generation system. Int J Elec Power. 2007;29:783–795. https://doi.org/https://doi.org/10.1016/j.ijepes.2007.06.025
Elmouatamid A, NaitMalek Y, Bakhouya M, Ouladsine R, Elkamoun N, Zine-Dine K, Khaidar M. An energy management platform for micro-grid systems using Internet of Things and Big-data technologies. Proceedings of the Institution of Mechanical Engineers. Part I: Journal of Systems and Control Engineering. 2019;233(7):904-917. https://doi.org/https://www.doi.org/10.1177/0959651819856251
Hangaragi G. Recent Integration of a PV-wind energy system with enhanced efficiency. Indian J Sci Res. 2015;11((1)):72–78.
Assilevi K, Ajavon A, Adjallah K. Design of a virtual private network of intelligent microcontrollers for distributed control of an autonomous micro-grid of renewable energy harvesters. in the ICEASSM’2019 Proc., the 2nd Int. Conf. on Engineering, Applied Sciences and System Modeling (), 2019.
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Copyright (c) 2021 Kossigan Roland Assilevi, Ayité S. AJAVON, Kondo H. Adjallah
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