Energy management system for surveillance and performance analysis of a micro-grid based on discrete event systems

References

• Afzalian, A., A. Saadatpoor, and W. M. Wonham. 2008 september. Systematic supervisory control solutions for under-load tap-changing transformers. Control Engineering Practice 16(9):1035‑1054. doi:10.1016/j.conengprac.2007.11.006.
   Web of Science ®Google Scholar
• Afzalian, A. A., S. A. Nabavi Niaki, M. R. Iravani, and W. M. Wonham. 2009 janv. Discrete-Event Systems Supervisory Control for a Dynamic Flow Controller. IEEE Transactions on Power Delivery 24(1):219–230. doi:10.1109/TPWRD.2008.921114..
   Web of Science ®Google Scholar
• Aktas, A., K. Erhan, S. Ozdemir, and E. Ozdemir. 2017. Experimental investigation of a new smart energy management algorithm for a hybrid energy storage system in smart grid applications. Electric Power Systems Research 144:185‑196. mars. doi:10.1016/j.epsr.2016.11.022..
   Web of Science ®Google Scholar
• Area, Online Identification of Thevenin Equivalent Circuit Model Parameters and Estimation State of Charge of Lithium-Ion Batteries IEEE Conference Publication. Palermo, Italy. https://ieeexplore.ieee.org/abstract/document/8493924 ( consulté le févr. 18, 2020).
   Google Scholar
• Chao, W., Z. Tang, G. Lin, J. Guo, W. Lin, and S. Yu, Modular supervisory control of computer based preventing electric mal-operation system for multiple bays in substation, in 2017 IEEE 2nd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC), Chengdu, déc. 2017a, p. 1730–1739, DOI: 10.1109/ITNEC.2017.8285092.
   Google Scholar
• Chao, W., Z. Tang, G. Lin, B. Zhai, W. Lin, and S. Yu, Supervisory control of preventing electric misoperation system based on state tree structures, in 2017 IEEE 3rd Information Technology and Mechatronics Engineering Conference (ITOEC), Chongqing, october 2017b, p. 1024‑1029, DOI: 10.1109/ITOEC.2017.8122509.
   Google Scholar
• Chen, S. X., K. J. Tseng, and S. S. Choi, Modeling of lithium-ion battery for energy storage system simulation, in 2009 Asia-Pacific Power and Energy Engineering Conference, Wuhan, China, mars 2009, p. 1–4, DOI: 10.1109/APPEEC.2009.4918501.
   Google Scholar
• Cheng, M., S. S. Sami, and J. Wu. 2016. Virtual energy storage system for smart grids. Energy Procedia 88 ( juin):436–442. doi:10.1016/j.egypro.2016.06.021.
   Google Scholar
• Conteh, F., S. Tobaru, H. O. R. Howlader, A. Yona, and T. Senjyu. 2017 november. Energy management systems for hybrid distributed generation sources in grid connected and stand-alone micro-grids. Journal of Renewable and Sustainable Energy 9(6):065301. doi:10.1063/1.4998773..
   Web of Science ®Google Scholar
• Darondeau, P., Distributed implementations of Ramadge-Wonham supervisory control with Petri nets, in Proceedings of the 44th IEEE Conference on Decision and Control, Seville, Spain, 2005, p. 2107‑2112, DOI: 10.1109/CDC.2005.1582472.
   Google Scholar
• Das, A., M. Gupta, and D. S. K. Nagar, Discrete event systems modelling and supervisory control, p. 10.
   Google Scholar
• Fendri, D., and M. Chaabene. 2012. Dynamic model to follow the state of charge of a lead-acid battery connected to photovoltaic panel. Energy Conversion and Management 64 ( déc):587–593. doi:10.1016/j.enconman.2012.05.027.
   Web of Science ®Google Scholar
• Fri, M., and F. Belmajdoub. 2014. Control by supervision of discrete event system. Journal of Computational Information Systems. 10(18):7877–7891..
   Google Scholar
• Fu, M., J. Mao, and H. Ma, Control Apparatus for Micro-grid Connect/Disconnect from Grid, US20120283890A1, november. 08, 2012.
   Google Scholar
• Gao, D. W. 2015. Energy storage for sustainable microgrid. University of Denver, USA, Academic Press.
   Google Scholar
• Hannan, M. A., S. Y. Tan, A. Q. Al-Shetwi, K. P. Jern, and R. A. Begum. 2020. Optimized controller for renewable energy sources integration into microgrid: Functions, constraints and suggestions. Journal of Cleaner Production 256:120419. mai. doi:10.1016/j.jclepro.2020.120419..
   Web of Science ®Google Scholar
• Hemmati, R., and R.-A. Hooshmand. 2017. Impacts of renewable energy resources and energy storage systems on the flow-gate prices under deregulated environment. Journal of Renewable and Sustainable Energy 9(3):035502. mai. doi:10.1063/1.4984622..
   Web of Science ®Google Scholar
• Hesse, H., M. Schimpe, D. Kucevic, and A. Jossen. 2017 déc. Lithium-ion battery storage for the grid—a review of stationary battery storage system design tailored for applications in modern power grids. Energies 10(12):2107. doi:10.3390/en10122107..
   Web of Science ®Google Scholar
• Hu, H., H. Li, Y. Jiang, Y. Zheng, S. Huang, and Y.-F. Sheng, Fault diagnosis based on discrete event system for power grid », In The 27th Chinese Control and Decision Conference (2015 CCDC), Qingdao, China, mai 2015, p. 2668‑2672, DOI: 10.1109/CCDC.2015.7162383.
   Google Scholar
• Hu, J., Y. Shan, Y. Xu, and J. M. Guerrero. 2019. A coordinated control of hybrid ac/dc microgrids with PV-wind-battery under variable generation and load conditions. International Journal of Electrical Power & Energy Systems 104 ( janv):583–592. doi:10.1016/j.ijepes.2018.07.037..
   Web of Science ®Google Scholar
• Idir, A., and M. Kidouche.. RT-LAB AND DSPACE: TWO SOFTWARES FOR REAL TIME CONTROL OF INDUCTION MOTORS. Rev. Roum. Sci. Techn - Electrotechn. et Energ 59(2):205-214.
   Google Scholar
• Jeon, J.-H., et al. déc 2010. Development of hardware in-the-loop simulation system for testing operation and control functions of microgrid. IEEE Trans. Power Electron 25 (12):2919–2929. doi:10.1109/TPEL.2010.2078518..
   Web of Science ®Google Scholar
• Kharrazi, A., Y. Mishra, and V. Sreeram. 2019 janv. Discrete-event systems supervisory control for a custom power park. IEEE Transactions on Smart Grid 10(1):483–492. doi:10.1109/TSG.2017.2745491..
   Web of Science ®Google Scholar
• Kharrazi, A., V. Sreeram, and Y. Mishra, Power admission control of plug-in electric vehicles using supervisory control of discrete event system, in 2017 Australasian Universities Power Engineering Conference (AUPEC), Melbourne, VIC, november. 2017, p. 1‑6, DOI: 10.1109/AUPEC.2017.8282511.
   Google Scholar
• Khawaja, Y., A. Allahham, D. Giaouris, C. Patsios, S. Walker, and I. Qiqieh. 2019. An integrated framework for sizing and energy management of hybrid energy systems using finite automata. Applied Energy 250 (september):257‑272. doi:10.1016/j.apenergy.2019.04.185..
   PubMed Web of Science ®Google Scholar
• Lawder, M. T. Modeling, simulation, and analysis of lithium-ion batteries for grid-scale applications. Engineering and Applied Science Theses & Dissertations. 2016, 164.
   Google Scholar
• LEGRAIVE, M., Realisation of Lithium battery model for microgrid applications and Validation with Real-time Simulation Platform, Université catholique de Louvain, Ecole polytechnique de Louvain, Louvain-la-Neuve, Belgium, 2016.
   Google Scholar
• Lockhart, E., et al. 2019. Comparative Study of techno-economics of lithium-ion and lead-acid batteries in micro-grids in Sub-Saharan Africa. National Renewable Energy Lab. (NREL) Golden, CO (United States), NREL/TP-7A40-73238, juin. doi:10.2172/1526204.
   Google Scholar
• Noorbakhsh, M., and A. A. Afzalian, Modeling and synthesis of DES supervisory control for coordinating ULTC and SVC, in 2009 American Control Conference, St. Louis, MO, USA, 2009, p. 4759‑4764. DOI: 10.1109/ACC.2009.5160107.
   Google Scholar
• Prosser, J., J. Selinsky, H. Kwatny, and M. Kam. 1995. Supervisory control of electric power transmission networks. IEEE Transactions on Power Systems 10(2):1104‑1110. mai. doi:10.1109/59.387957.
   Web of Science ®Google Scholar
• Ronay, K., D. Bica, and C. Munteanu. 2017. Micro-grid development using artificial neural network for renewable energy forecast and system control. Procedia Engineering 181:818‑823. doi:10.1016/j.proeng.2017.02.472.
   Google Scholar
• Silva, C. F. A model of a battery energy storage system for power systems stability studies. p. 8. https://tecnico.ulisboa.pt/pt/?s=Celso_jrnl&t=q
   Google Scholar
• Ullah, S., A. M. A. Haidar, P. Hoole, H. Zen, and T. Ahfock. 2020. The current state of distributed renewable generation, challenges of interconnection and opportunities for energy conversion based DC microgrids. Journal of Cleaner Production 273:122777. juill. doi:10.1016/j.jclepro.2020.122777.
   Web of Science ®Google Scholar
• Wang, J., X. Tang, and Z. Yin, Research on medium voltage battery energy storage system based on RT-LAB in 2014 IEEE Conference and Expo Transportation Electrification Asia-Pacific (ITEC Asia-Pacific), Beijing, China, août 2014, p. 1‑5, DOI: 10.1109/ITEC-AP.2014.6940996.
   Google Scholar
• Wang, W., S. Dmitry, and L. Sun, Discharging scheme for distributed battery storage devices in smart grid, in 2016 Australasian Universities Power Engineering Conference (AUPEC), Brisbane, Australia, september. 2016, p. 1‑5, DOI: 10.1109/AUPEC.2016.7749288
   Google Scholar
• Worku, M. Y., M. A. Abido, and R. Iravani. 2016 janv. Power fluctuation minimization in grid connected photovoltaic using supercapacitor energy storage system. Journal of Renewable and Sustainable Energy 8(1):013501. doi:10.1063/1.4942547.
   Web of Science ®Google Scholar
• Yang, Y., S. Bremner, C. Menictas, and M. Kay. 2018. Battery energy storage system size determination in renewable energy systems: A review. Renewable and Sustainable Energy Reviews 91:109‑125. août. doi:10.1016/j.rser.2018.03.047.
   Web of Science ®Google Scholar
• Zhao, J. Management of plug-in electric vehicles and renewable energy sources in active distribution networks.  Wayne State University Dissertations. 1037, 2014.
   Google Scholar
• Zhao, Y., L. Shi, and L. Yao, Real-time simulation on wind power system dynamics incorporating STATCOM, in 2013 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), Kowloon, Hong Kong, déc. 2013, p. 1‑6, DOI: 10.1109/APPEEC.2013.6837210
   Google Scholar