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IJSTR >> Volume 8 - Issue 11, November 2019 Edition

International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616

Real-Time Weather Adaptive Simulation Of Regional Smart Grid For Green Energy Generation

[Full Text]



Osamah Mahfoudh Hezam Alhakimi, Rajasvaran Logeswaran, Subhashini Gopal Krishnan



Battery storage, Erratic weather conditions, Smart grid, Green energy, Fuzzy logic control system



The main aim of this work was to design and develop a real-time simulation system for electrical power distribution in smart grids using renewable energy sources that are to function in different circumstances. The performance of the developed proposed system was evaluated by testing the power generated and power demand using online weather forecasting. Renewable energy was the main power sources with hydro power and diesel as back-up supplies. The system is targeted to generate sufficient energy to meet the power demand even the occurrence of erratic weather. Fuzzy logic is used to enhance and improve the real time and live simulation to make it as realistic as possible, with different sets of rules for each of the influencing parameters, namely, temperature, wind, cloud cover and load as input, and diesel, hydro and battery storage as output control. The results achieved was based on a 5-day forecasting measurement and every 3 hours, while the expected load differs between live and manual measurement. The accuracy and measurement of the overall system was estimated at about 95%. As a future enhancement, a paid subscription for the weather forecasting data to get the full benefit of the options available and allow for 16 days forecasting at intervals of 30 minutes, and secondly to incorporate more accurate calculation for transmission losses and battery storage/charging algorithm.



[1] Ali, S. (2013). Smart Grids. 1st Ed. London: Springer, P.24
[2] Belhamadia, A., Mansor, M. and Younis, M. (2014). A Study On Wind And Solar Energy Potentials In Malaysia. International Journal Of Renewable Energy Research, 4(3), Pp.1-7.
[3] Carpenter, R. and Shaw, B. (2012). Weather Information For Smart Grids.
[4] Ekanayake, J., Liyanage, K., Wu, J., Yokoyama, A. and Jenkins, N. (2012). Smart Grid Technology And Applications. 1st Ed. United Kingdom: 2012 John Wiley & Sons, Ltd, P.20.
[5] Electrical Energy Storage. (2011). International Electrotechnical Commission, P.9.
[6] Nag, P. (2015). Power Plant Engineering. 3rd Ed. New Delhi: Mcgraw Hill Education (India) Private, P.15.
[7] Pochacker, M., Sobe, A. and Elmenreich, W. (2013). Simulating The Smart Grid. Institute of Networked And Embedded Systems / Lakeside Labs, P.1