publication . Preprint . Conference object . 2017

Management of solar energy in microgrids using IoT-based dependable control

Manh Duong Phung;
Open Access English
  • Published: 10 Oct 2017
Comment: 2017 20th International Conference on Electrical Machines and Systems (ICEMS)
free text keywords: Computer Science - Systems and Control, Optimal control, Energy flow, Distributed control system, System Fault Tolerance, Engineering, business.industry, business, Control engineering, Renewable energy, Solar energy, Microgrid, Control system
Related Organizations
21 references, page 1 of 2

[1] G.K. Singh, “Solar power generation by PV (photovoltaic) technology: A review,” Energy, vol. 53, pp. 1-13, 2013.

[2] P. Roth, A. Georgiev, H. Boudinov, “Design and construction of a system for sun tracking,” Renewable Energy, vol. 29, pp. 393-402, 2004.

[3] F.R. Rubio, M.G. Ortega, F. Gordillo, M. Lopez-Martinez, “Application of new control strategy for sun tracking,” Energy Conversion and Management, vol. 48, pp. 2174-2184, 2007.

[4] S. Abdallah, S. Nijmeh, “Two axis sun tracking system with PLC control,” Energy Conversion and Management vol. 45, pp. 1931-1939, 2004.

[5] A.A. Nabulsi, A.E. Nosh, A. Ahli, M. Sulaiman, R. Dhaouadi, “Efficiency optimization of a 150 kW PV system using dual axis tracking and MPPT,” Proc. IEEE international energy conference, pp. 400-405, 2010.

[6] L.L. Oo, N.K. Hlaing, “Microcontroller-based two-axis solar tracking system,” Proc. IEEE 2nd international conference on computer research and development, pp. 436-440, 2010. [OpenAIRE]

[7] S. Seme, G. Stumberger, J. Vorsic,“Maximum efficiency trajectories of a two axis sun tracking system determined considering system consumption,” IEEE Transactions on Power Electronics, vol.26, pp. 1280-1289, 2011. [OpenAIRE]

[8] G.M. Tina, S. Gagliano, G. Graditi, A. Merola, “Experimental validation of a probabilistic model for estimating the double axis PV tracking energy production,” Applied Energy, vol. 97, pp. 990-998, 2012.

[9] K.H. Hussein, I. Muta, T. Hoshino, M. Osakada, “Maximum photovoltaic power tracking: an algorithm for rapidly changing atmospheric conditions,” IEE Proceedings on Generation, Transmission, Distribution, vol. 142, pp. 59-64, 1995.

[10] L. Piegari, R. Rizzo, “Adaptive perturb and observe algorithm for photovoltaic maximum power point tracking,” IET Renewable Power Generation, vol. 4, pp. 317-328, 2010. [OpenAIRE]

[11] Y.H. Ji, D.Y. Jung, J.G. Kim, J.H. Kim, T.W. Lee, C.Y. Won, “A real maximum power point tracking method for mismatching compensation in PV array under partially shaded conditions,” IEEE Transactions on Power Electronics, vol. 26, no. 4, pp. 1001-1009, 2011.

[12] K.S. Tey, S. Mekhilef, “Modified incremental conductance algorithm for photovoltaic system under partial shading conditions and load variation,” IEEE Transactions on Industrial Electronics, vol. 61, pp. 5384 - 5392, 2014. [OpenAIRE]

[13] B. Subudhi, R. Pradhan, “A comparative study on maximum power point tracking techniques for photovoltaic power systems,” IEEE Transactions on Sustainable Energy, vol. 4, pp. 89 - 98, 2013.

[14] D.P. Hohm, M.E. Ropp, “Comparative study of maximum power point tracking algorithm using an experimental, programmable, maximum power point tracking test bed,” Proc. the 28th IEEE photovoltaic specialists conference, pp. 1699-1702, 2000.

[15] T.L. Kottos, Y.S. Boutalis, A.D. Karlis, “New maximum power point tracker for PV arrays using fuzzy controller in close cooperation with fuzzy cognitive networks, IEEE Transactions on Energy Conversion, vol. 21, pp. 793-803, 2006. [OpenAIRE]

21 references, page 1 of 2
Powered by OpenAIRE Open Research Graph
Any information missing or wrong?Report an Issue
publication . Preprint . Conference object . 2017

Management of solar energy in microgrids using IoT-based dependable control

Manh Duong Phung;