i-manager Publications

An Implementation of Renewable Energy based Modeling and Control of Three Phase Hybrid – Microgrid System

Vinay Kumar Dewangan *, Abhijeet Lal **

*-** Department of Electrical and Electronics Engineering, Bhilai Institute of Technology, Durg, Chhattisgarh, India.

Periodicity:August - October'2020
DOI : https://doi.org/10.26634/jps.8.3.17723

Abstract

In this paper, a wind-photovoltaic hybrid power generation system model has been studied and simulated. A hybrid system is rewarding as a particular power generation system is not completely reliable and if any one of the methods fail, the other will be able to supply power. A microgrid formed through a congregation of loads and distributed generators, which is operated as only one controllable system. As an integrated energy dealing system, the microgrid can run in parallel with or without separation from the primary power grid. This concept introduces the scarcity of multiple reverse conversions in a separate DC or AC grid and also immediate connections to variable renewable DC and AC sources and loads to power system. The microgrid can be deliberated to meet their individual demands, such as enhancement of local reliability, minimization of feeder losses, local voltages profile support, highest efficiency through the use of waste heat, improvement of voltage sag and maintain continuous power supply. In the present time, the performance of this system is noticed in the grid-tied mode. The PV system, battery storage and wind turbine generator are implemented for the formation of microgrid, and control tools are implemented for the converters.

Keywords

PWM Converter, Hybrid Microgrid, Solar Photovoltaic, Power Generation System, Hybrid System.

How to Cite this Article?

Dewangan, V. K., and Lal, A. (2020). An Implementation of Renewable Energy based Modeling and Control of Three Phase Hybrid – Microgrid System. i-manager's Journal on Power Systems Engineering, 8(3), 7-13. https://doi.org/10.26634/jps.8.3.17723

References

[1]. Aboonabi, A., & Saif, M. (2011). Power system state estimation using contraction mapping and singular value decomposition. IFAC Proceedings Volumes, 44(1), 1692- 1697.

[2]. Abur, A., & Exposito, A. G. (2004). Power system state estimation: Theory and implementation. CRC Press.

[3]. Alorf, A., & Banerjee, B. (2011). State estimation of power systems using weighted least squares optimization technique [Project Report]. Michigan Technological University, Michigan, United States.

[4]. Jabr, R. A., & Pal, B. C. (2003). Iteratively re-weighted least absolute value method for state estimation. IEE Proceedings - Generation, Transmission and Distribution, 150(4), 385-391.

[5]. Jovicic, A., Jereminov, M., Pileggi, L., & Hug, G. (2019, September). A linear formulation for power system state estimation including RTU and PMU measurements. In 2019, IEEE PES Innovative Smart Grid Technologies Europe (ISGTEurope) (pp. 1-5). IEEE.

[6]. Liu, W. H., & Lim, S. L. (1995). Parameter error identification and estimation in power system state estimation. IEEE Transactions on Power Systems, 10(1), 200- 209.

[7]. Meriem, M., Omar, S., Bouchera, C., Abedelaziz, B., Jmal, B., Faissal, M., & Nazha, C. (2016). Study of state estimation using weighted least square method. International Journal of Advanced Engineering Research and Science, 3(8), 1-10.

[8]. Monticelli, A. (2000). Electric power system state estimation. Proceedings of the IEEE, 88(2), 262-282.

[9]. Praviraj, P. G. (2009). Power system state estimation using WLS. Retrieved from https://www.mathworks.com/ matlabcentral/fileexchange/23052-power-system-stateestimation- using-wls

[10]. Venkatesh, P., Manikandan, B. V., Raja, S. C., & Srinivasan, A. (2012). Electrical power systems: Analysis, security and deregulation. New Delhi, India: PHI Learning.

[11]. Zamora-Cárdenas, E. A., Pizano-Martínez, A., Lozano- García, J. M., Gutiérrez-Martínez, V. J., & Cisneros-Magaña, R. (2019). Computational development of a practical educational tool for state estimation of power systems using the MATLAB optimization toolbox. The International Journal of Electrical Engineering & Education, 56(2), 105-123.

If you have access to this article please login to view the article or kindly login to purchase the article

Single Article

	North Americas,UK, Middle East,Europe		India	Rest of world
	USD	EUR	INR	USD-ROW
Online	15	15

ADD TO CART

Options for accessing this content:

If you would like institutional access to this content, please recommend the title to your librarian.
If you already have i-manager's user account: Login above and proceed to purchase the article.
New Users: Please register, then proceed to purchase the article.