FOREX Press I. J. of Electrical & Electronics Research
Support Open Access
  • Home/
  • IJEER-110118

Research Article |

Simulation of Solar Based Smart Grid System Using Artificial Neural Network and Fuzzy Controller

Author(s): Rashmi Sharma1* and Dr. H. Ravishankar Kamath2

Published In : International Journal of Electrical and Electronics Research (IJEER)        Volume 11, Issue 1

Publisher : FOREX Publication

Published : 15 March 2023

e-ISSN : 2347-470X

Page(s) : 132-137

DOI: https://doi.org/10.37391/IJEER.110118

Abstract

To promote the economy and reliability of the energy trading systems, the use of interconnected smart grids is encouraging. A distributed energy management plan for the interconnected operation of the smart grid that maximizes the resident intake of renewable energy is required during operation. On the client side, possibilities and actions are being discussed in the research papers to incorporate the renewable energy sources. In this paper, the use of Artificial Intelligent Techniques to manage energy or power supply to meet the electricity demand of customers is illustrated. Simulation has been done using wind and solar power supply to manage the load demand for the client side in a smart grid system. Smart Grid has been simulated for all these energy sources to be used with the forecasted electric power requirements. All the required energy demand can be identified from the forecast data, allowing smart grids to deliver better results. For this purpose solar panels are first used in smart grids with the help of artificial neural networks and fuzzy controllers so that load shifts can be done easily and efficiently. Simulation work has been done in MATLAB/Simulink.

Keywords: Artificial Intelligence, Smart Grid, Renewable Energy Sources, Artificial neural network short term forecasting




Rashmi Sharma*, Research scholar, Department of Electrical and Electronics Engineering, Shri Venkateshwara University, Gajrula (U.P) India; Email: rs27.ex@gmail.com

Dr. H. Ravishankar Kamath, Professor and Registrar, NMIMS, Mumbai (Maharashtra) India

    [1] A.-H. Mohsenian-Rad et al, “Autonomous demand side management based on game-theoretic energy consumption scheduling for the future smart grid,” IEEE Trans. Smart Grid, 2010. [Cross Ref]
    [2] Ghulam Hafeez et al.,”An innovative optimization strategy for efficient energy management” Volume 4, 2016 IEEE.
    [3] B. Kavya Santhoshi et al, “ANN based dynamic control and energy management of inverter and battery in a grid tied hybrid renewable power system fed through switched Z source converter” DE part of Springer Nature 2021. [Cross Ref]
    [4] M.H. Amini, J. Frye, M.D. Ilic, O. Karabasoglu, “Smart residential energy scheduling utilizing two stage mixed integer linear programming” in IEEE 47th North American Power Symposium, Charlotte, 2015. [Cross Ref]
    [5] Ahmad Zahedi “Sustainable Power Supply Using Solar Energy and Wind Power Combined with Energy Storage” 2013 International Conference on Alternative Energy in Developing Countries and Emerging Economies, ELSEVIER. [Cross Ref]
    [6] Diego Arcos-Aviles,et al ” Fuzzy Logic-Based Energy Management System Design for Residential Grid-Connected Micro grids” 2015 IEEE.
    [7] Vincenzo Bonaiuto, Fausto Sargeni “A Matlab Simulink Model for the Study of Smart Grid – Grid-Integrated Vehicles Interactions” 978-1-5386-3906-1/17 IEEE 2017. [Cross Ref]
    [8] Mohsenzadeh, M.-R. Haghifam, “Simultaneous placement of conventional and renewable distributed generation using multi objective optimization” in Proceedings of IEEE, Integration of Renewables into Distributed Grid CIRED, 2012. [Cross Ref]
    [9] Mummadi Veerachary and Katsumi Uezato “Neural-Network-Based Maximum-Power-Point Tracking of Coupled-Inductor Interleaved-Boost-Converter-Supplied PV System Using Fuzzy Controller” IEEE Transactions On Industrial Electronics, Vol. 50, August 2003. [Cross Ref]
    [10] Papavasiliou, S.S. Oren, “Supplying renewable energy to deferrable loads: algorithms and economic analysis” in Proceedings of IEEE Power and Energy Society General Meeting, Minneapolis, Minnesota, 2010. [Cross Ref]
    [11] A.R. Di Fazio, G. Fusco, M. Russo, “Enhancing distribution networks to evolve toward smart grids: the voltage control problem” in Proceedings of IEEE 52nd Annual Conference on Decision and Control, Firenze, 2013. [Cross Ref]
    [12] V. Kekatos, G. Wang, A.J. Conejo, G.B. Giannakis, “Stochastic reactive power management in micro grids with renewable” IEEE Trans. Power System 2014. [Cross Ref]
    [13] S.E. Shafiei, “A decentralized control method for direct smart grid control of refrigeration systems” in Proceedings of IEEE 52nd Annual Conference on Decision and Control, Firenze, 2013. [Cross Ref]
    [14] G. Cavraro, R. Carli, S. Zampieri, “A distributed control algorithm for the minimization of the power generation cost in smart micro-grid” in Proceedings of IEEE 53rd Annual Conference on Decision and Control, Los Angeles,2014. [Cross Ref]
    [15] S. Kar, G. Hug, J. Mohammadi, J.M.F. Moura, “Distributed state estimation and energy management in smart grids: a consensus innovations approach” IEEE 2014. [Cross Ref]
    [16] N. Ruiz, I. Cobelo, and J. Oyarzabal, “A direct load control model for virtual power plant management,” IEEE Trans. Power System, 2009. [Cross Ref]
    [17] Ramanathan and V. Vittal. “A framework for evaluation of advanced direct load control with minimum disruption”, IEEE Trans. Power System, 2008. [Cross Ref]
    [18] M. Alizadeh, A. Scaglione and R. J. Thomas, “From packet to power switching: digital direct load scheduling,” IEEE, 2012. [Cross Ref]
    [19] Ibars, M. Navarro, and L. Giupponi, “Distributed demand management in smart grid with a congestion game,” in Proc. IEEE Int. Conf. Smart Grid Comm, 2010. [Cross Ref]
    [20] H. K. Nguyen, J. B. Song, and Z. Han, “Demand side management to reduce Peak-to-Average Ratio using game theory in smart grid”, in Proc. IEEE INFOCOM Workshop, 2012. [Cross Ref]
    [21] L. Jia and L. Tong, “Optimal pricing for residential demand response: a stochastic optimization approach,” in Proc. Allerton Conference, 2012. [Cross Ref]
    [22] H. Su and A. E. Gamal, “Modeling and analysis of the role of fast-response energy storage in the smart grid,” Proc. Allerton Conference, 2011. [Cross Ref]
    [23] L. Huang, J. Walrand, and K. Ramchandran, “Optimal demand response with energy storage management,” in Proc. IEEE Int. Conf. Smart Grid Comm, 2012. [Cross Ref]
    [24] N. Li, L. Chen and S. H. Low, “Optimal demand response based on utility maximization in power networks,” in Proc. IEEE Power and Energy Society General Meeting, 2011. [Cross Ref]
    [25] Joe-Wong, S. Sen, H. Sangtae, and C. Mung, "Optimized day-ahead pricing for smart grids with device specific scheduling flexibility," IEEE J. Sel. Areas Communication, 2012. [Cross Ref]
    [26] Ishan Gupta, G.N. Anandini, Megha Gupta “An Hour wise device scheduling approach for Demand Side Management in Smart Grid using Particle Swarm Optimization” IEEE conference in IIT Kanpur,2016. [Cross Ref]
    [27] Mohamed E. El-Hawary “The Smart Grid—State-of-the-art and future trends” Eighteenth international conference in Middle East power systems in Cairo, Egypt (MEPCON) IEEE ISSN 978-1-4673-9063-7 December 27-29, 2016. [Cross Ref]
    [28] Megha Agarwal “Smart grid networks: A state of the art review” International Conference on Signal Processing and Communication Noida, India (ICSC) ISBN 978-1-4799-6761-2 March 16-18, 2015. [Cross Ref]
    [29] Noelia Uribe-Pérez, Luis Hernández , David de la Vega and Itziar Angulo “State of the Art and Trends Review of Smart Metering in Electricity Grids” Applied Science MDPI Journal February 29,2016. [Cross Ref]
    [30] Nur Asyik Hidayatullah, Akhtar Kalam “State of the Art Distributed Generation and Smart Grid Technologies: A Review and an Analysis the Impacts of Distributed Generation (DG) on Smart Grid (SG) system LAP LAMBERT Academic Publishing ,ISBN 978-3848495719 April 6, 2012. [Cross Ref]
    [31] ShereenaGaffoor and Mariamma Chacko”A Multi-objective Hybrid Optimization for renewable energy integrated Electrical Power Transmission Expansion Planning” IJECES Volume 13, Number 2, 2022. [Cross Ref]
    [32] Jayalakshmi N. S. and Pramod Bhat Nempu “Performance Enhancement of a Hybrid AC-DC Micro grid Operating with Alternative Energy Sources Using Super capacitor” IJECES, Volume 12, Number 2, 2021. [Cross Ref]
    [33] Ramakrishna Kappagantu , S. Arul Daniel “Challenges and issues of smart grid implementation: A case of Indian scenario” Science Direct Journal of Electrical Systems and Information Technology January 5,2018. [Cross Ref]
    [34] Himabindu Eluri, M.Gopichand Naik.“Energy Management System and Enhancement of Power Quality with Grid Integrated Micro-Grid using Fuzzy Logic Controller” International Journal of Electrical and Electronics Research (IJEER), Volume 10, Issue 2, June 2022. [Cross Ref]
    [35] Abhimanyu Kumar, Dr. Sanjay Jain,“Multilevel Inverter with Predictive Control for Renewable Energy Smart Grid Applications” International Journal of Electrical and Electronics Research (IJEER), Volume 10, Issue 3,Aug 2022. [Cross Ref]

Rashmi Sharma and Dr. H. Ravishankar Kamath (2023), Simulation of Solar Based Smart Grid System Using Artificial Neural Network and Fuzzy Controller. IJEER 11(1), 132-137. DOI: 10.37391/IJEER.110118.