DOI: https://doi.org/10.14710/ijred.9.2.295-301

Control Strategy of Hybrid AC/DC Microgrid in Standalone Mode

1Electrical Engineering Department, Mohammedia Engineering School, Mohammed-V University, Rabat,, Morocco

2Electromechanical Department, Rabat School of Mines, Rabat,, Morocco

Received: 26 Jan 2020; Revised: 27 Mar 2020; Accepted: 30 Apr 2020; Available online: 20 May 2020; Published: 15 Jul 2020.
Editor(s): H Hadiyanto
Open Access Copyright (c) 2020 The Authors. Published by Centre of Biomass and Renewable Energy (CBIORE)
Creative Commons License This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Citation Format:
Abstract
The fluctuation of production of renewable energy resources (RESs) is a big problem for its installation and integration in isolated residential buildings. A hybrid AC/DC microgrid facilitates the good operation of RESs with a storage system in standalone mode and the possibilities of smart energy management. In this paper optimization research of the hybrid ac/dc microgrid in isolated mode of operation is presented. The power system is supplied by various Renewable Energy Resources (RESs), Photovoltaic arrays (PVA), a Wind Turbine Generator (WTG), Diesel Generator (DG) and supported by Batteries Storage System (BSS) for short term storage. The main objective of this study is to optimize power flow within a hybrid ac/dc microgrid with regards to reliability in islanded mode. First a mathematical model optimized by mixed integer linear programming and solved by CPLEX solver with JAVA language is developed for an islanded RES system and then, based on the developed model, the power system control is simulated for different cases of off-grid mode. Simulation results have shown that the management strategy can maintain power balancing while performing optimized control and give a controllable loads and batteries charging/discharging powers, even with unpredictability of RESs powers outputs and arbitrary energy tariffs. Finally, the proposed algorithm respects the optimization in real-time operation under various constraints.%.
Fulltext View|Download
Keywords: Hybrid ac/dc microgrid; Isolated mode; Optimization; Control.

Article Metrics:

Article Info
Section: Original Research Article
Language : EN
Recent articles
Optimization of PV/T Solar Water Collector based on Fuzzy Logic Control Evaluation of the Wind Potential and Optimal Design of a Wind Farm in The Arzew Industrial Zone in Western Algeria Optimizing the Synthesis of Lignin Derivatives from Acacia mangium to Improve the Enzymatic Hydrolysis of Kraft Pulp Sorghum Bagasse Distributed Generation: A Critical Review of Technologies, Grid Integration Issues, Growth Drivers and Potential Benefits More recent articles
  1. B-C. Jeong, D-H. Shin, J-B. Im, J-Y. Park. Kim, Y-J. (2019). Implementation of Optimal Two-Stage Scheduling of Energy Storage System Based on Big-Data-Driven Forecasting-An Actual Case Study in a Campus Microgrid", Energies, 12(6), 1124. https://doi.org/10.3390/en12061124
  2. Bourbon, R., Ngueveu, S.U., Roboam, X., Sareni, B., Turpin, C., Hernandez-Torres, D. (2019). Energy management optimi-zation of a smart wind power plant comparing heuristic and linear programming methods. International Journal of Energy Research, International Association for Mathematics and Computers in Simulation, vol. 158, pp 418-43. https://doi.org/10.1016/j.matcom.2018.09.022
  3. Dehghan Manshadi, S., Khodayar, M. (2016). Decentralized operation framework for hybrid AC/DC microgrid. 2016 North American Power Symposium (NAPS). https://doi.org/10.1109/NAPS.2016.7747902
  4. Kaushik, R. A., Pindoriya, N. M. (2014). A hybrid AC-DC microgrid: Opportunities & key issues in implementation. 2014 International Conference on Green Computing Communication and Electrical Engineering (ICGCCEE). https://doi.org/10.1109/ICGCCEE.2014.6922391
  5. Kumar Nunna, H. S. V. S., Doolla, S. (2013). Multiagent-Based Distributed-Energy-Resource Management for Intelligent Microgrids. IEEE Transactions on Industrial Electronics, 60(4), 1678-1687. https://doi.org/10.1109/TIE.2012.2193857
  6. Li P., Zhend, M. (2019). Multi-objective optimal operation of hybrid AC/DC microgrid considering. source-network-load coordination. Journal of Modern Power Systems and Clean Energy. https://doi.org/10.1007/s40565-019-0536-3
  7. Nejabatkhah, F., Li, Y. W., Tian, H. (2019). Power Quality Control of Smart Hybrid AC/DC Microgrids: An Overview. IEEE Access, 7, 52295-52318. https://doi.org/10.1109/ACCESS.2019.2912376
  8. Planas, J., Andreu, J.I., Gárate, I., Martínez de Alegría, E., Ibarra (2015). AC and DC technology in microgrids: A review. Renewable and Sustainable Energy Reviews, 43, 726-749. https://doi.org/10.1016/j.rser.2014.11.067
  9. Qachchachi, N., Mahmoudi, H., Hasnaoui, A.E. (2016). Smart hybrid AC/DC microgrid: Power management based Petri Nets. 2016 International Conference on Information Technology for Organizations Development (IT4OD). https://doi.org/10.1109/IT4OD.2016.7479320
  10. Riffonneau, Y., Bacha, S., Barruel, F., Ploix, S. (2011). Optimal Power Flow Management for Grid Connected PV Systems with Batteries. IEEE Transactions on Sustainable Energy, 2(3), 309-320. https://doi.org/10.1109/TSTE.2011.2114901
  11. Shenai, K., Shah, K. (2011). Smart DC micro-grid for efficient utilization of distributed renewable energy. IEEE 2011 EnergyTech. https://doi.org/10.1109/EnergyTech.2011.5948505
  12. Teimourzadeh Baboli, P., Bahramara, S., Parsa Moghaddam, M., Haghifam, M.R. (2015). A mixed-integer linear model for optimal operation of hybrid AC-DC microgrid considering Renewable Energy Resources and PHEVs. 2015 IEEE Eindhoven PowerTech. https://doi.org/10.1109/PTC.2015.7232507
  13. Unamuno, E., Barrena, J.A. (2015) Hybrid ac/dc microgrids - Part I: Review and classification of topologies, Renewable and Sustainable Energy Reviews, 52, 1251-1259. https://doi.org/10.1016/j.rser.2015.07.194
  14. Wang, Y., Li, Y., Cao, Y., Tan, Y., He, L., Han, J. (2018). Hybrid AC/DC microgrid architecture with comprehensive control strategy for energy management of smart building. International Journal of Electrical Power & Energy Systems, 101, 151-161. https://doi.org/10.1016/j.ijepes.2018.02.048
  15. Wang, Z., Chen, Y., Mei, S., Huang, S., Xu. Y. (2017). Optimal expansion planning of isolated microgrid with renewable energy resources and controllable loads. IET Renewable Power Generation, vol. 11, pp. 931-940. https://doi.org/10.1049/iet-rpg.2016.0661
  16. Xiong, L., Peng, W., Poh Chiang, L. (2011). A Hybrid AC/DC Microgrid and Its Coordination Control, IEEE Transactions on smart grid, 2, Issue 2, 278-286. https://doi.org/10.1109/TSG.2011.2116162
  17. Zahboune, H., Zouggar, S., Krajacic, G., Varbanov, P.S., Elhafyani, M., Ziani, E. (2016). Optimal hybrid renewable energy design in autonomous system using Modified Electric System Cascade Analysis and Homer software. Energy Conversion and Management, 126, 909-922. https://doi.org/10.1016/j.enconman.2016.08.061

Last update:

No citation recorded.

Last update:

No citation recorded.