[1] G. Ferro, R. Minciardi, L. Parodi, Michela Robba and Mansueto Rossi, Optimal Control of Multiple Microgrids and Buildings by an Aggregator, Energies., 13 (2020).
https://doi.org/10.3390/en13051058
[2] Abdellatif Elmouatamid, Radouane Ouladsine, Mohamed Bakhouya, Najib El Kamoun, Mohammed Khaidar and Khalid Zine-Dine, Review of Control and Energy Management Approaches in Micro-Grid Systems, Energies, 14 (2021) 168. https://dx.doi.org/10.3390/en14010168
[3] M. K. Al-Saadi, P. C. K. Luk, W. Fei, A. Bati, Security Constrained Active and Reactive Optimal Power Management of Microgrid in Different Market Policies, International Conference on Control (CONTROL) Belfast, UK, 31st August - 2nd September, 2016
[4] Andreia M. Carreiro, Humberto M. Jorge, Carlos Henggeler Antunes, Energy management systems aggregators: A literature survey, Renewable and Sustainable Energy Review, 73 (2017) 1160-1172. doi: 10.1016/j.rser.2017.01.179
[5] Per Goncalves Da Silva, Dejan Ili´c, and Stamatis Karnouskos, The Impact of Smart Grid Prosumer Grouping on Forecasting Accuracy and its Benefits for Local Electricity Market Trading, IEEE Transactions on Smart Grid, 5 (2014) 402-410.
DOI: 10.1109/TSG.2013.2278868
[6] M. K. Al-Saadi Cranfield University, Bedfordshire, U.K. Patrick C. K. Luk Cranfield University, Bedfordshire, U.K. Weizhong Fei Cranfield University, Bedfordshire, U.K, Impact of Unit Commitment on the Optimal Operation of Hybrid Microgrids, UKACC 11th International Conference on Control (CONTROL) Belfast, UK, 31st August - 2nd September, 2016.
[7] M. Pourbehzadi, T. Niknam, J. Aghaei, G. Mokryani, M. Shafie-khah, J. P.S. Catalão, Optimal operation of hybrid AC/DC microgrids under uncertainty of renewable energy resources: A comprehensive review, Electrical Power and Energy Systems, 109 (2019) 139-159.
doi.org/10.1016/J.IJEPES.2019.01.025
[8] M. Agrawal, C. P. Agrawal, M. K. Rathore, M. K. Pachariya, Priority based strategic modes of operation and control for renewable energy sources micro-grid, Materials Today: Proceedings, 2020. doi:10.1016/j.matpr.2020.09.415
[9] W. Hu, C. Su, Z. Chen, and B. Bak-Jensen, Optimal operation of plug-in electric vehicles in power systems with high wind power penetrations, IEEE Trans. Sustain. Energy, 4 (2013) 577–585. https://doi.org/10.1109/TSTE.2012.2229304
[10] M. H. Moradi, M. Eskandari, and S. Mahdi Hosseinian, Operational strategy optimization in an optimal sized smart microgrid, IEEE Trans. Smart Grid, 6 (2015) 1087–1095. doi:
10.1109/TSG.2014.2349795
[12] C. Zhou, K. Qian, M. Allan, and W. Zhou, Modeling of the cost of EV battery wear due to V2G application in power systems,” y scheduling in microgrids with intermittent renewable energy resources, IEEE Trans. Energy convers, 26 (2011) 1041–1050. DOI:
10.1109/TEC.2011.2159977
[13] A. Parisio, E. Rikos, G. Tzamalis, and L. Glielmo, Use of model predictive control for experimental microgrid optimization, Applied Energy, 115 (2014) 37 – 46. doi 10.1016/j.apenergy.2013.10.027
[14] Barnam Jyoti Saharia, Honey Brahma, and Nabin Sarmah, A review of algorithms for control and optimization for energy management of hybrid renewable energy systems, J. Renewable & Sustainable Energy 10, (2018) 053502.
https://doi.org/10.1063/1.5032146
[15] Fadhil A. Hasan, Abdulrahim T, Humod, Lina J. Rashad, Robust decoupled controller of induction motor by combining PSO and Kharitonov’s theorem, Eng. Sci. Technol., an International Journal, 23 (2020) 1415-1424.
https://doi.org/10.1016/j.jestch.2020.04.004
[16] Fadhil A. Hasan, Lina J. Rashad Abdulrahim T. Humod, Integrating Particle Swarm Optimization and Routh-Hurwitz's Theory for Controlling Grid-Connected LCL-Filter Converter, International Journal of Intelligent Engineering and Systems, 13 (2020) 102-113. DOI:
10.22266/ijies2020.0831.10
[17] T. Logenthiran, D. Srinivasan, A. M. Khambadkone, and H. N. Aung, Multiagent system for real-time operation of a microgrid in real-time digital simulator, IEEE Trans. Smart Grid, 3 (2012) 925–933. https://doi.org/10.1109/TSG.2012.2189028
[18] A. Parisio, E. Rikos, G. Tzamalis, and L. Glielmo, Use of model predictive control for experimental microgrid optimization, Applied Energy, 115 (2014) 37 – 46. doi:
10.1016/j.apenergy.2013.10.027