ANN based Intelligent Energy Management for a Standalone Wind/Photovoltaic/Diesel Hybrid System with Battery Storage

  • Sangita Bapu Patil Research Scholar, Department of Electrical Engineering, S.G.G.S. Institute of Engineering & Technology, Nanded-431 606,
  • Laxman Madhavrao Waghmare Professor, Department of Instrumentation Engineering S.G.G.S. Institute of Engineering & Technology, Nanded-431 606, India.
Keywords: Artificial Neural Network (ANN), Multi-level Feed Forward Network, State of Charge, Photovoltaic system, Wind energy, Fuzzy Logic Controller, Energy Management Control.

Abstract

Hybrid renewable energy sources (HRES) similar to PV, wind and diesel generator are the most charming configurations worn for various applications and most probably for the self-contained systems to generate power. While considering different sources Energy management control will be essential. An energy conservation control system is a computer assisted tool commonly used to monitor, measure and control the generation and transmission system performance. In this article surveillance of photovoltaic, diesel and wind with battery storage is introduced. The energy stability of favoured scheme is done by the Artificial Neural Network (ANN). In this approach Multi-level FFN (Feed Forward Network) which is the form of artificial neural network is used for governing process of the hybrid renewable energy source. The Levenberg Marquardt algorithm is an interconnection of perceptron’s in which the data and calculation will flow in an accurate direction from input to output. It is quite simple and easy to resolve the different operating procedures of the hybrid system on the basis of the time varying conditions. The process is implemented under MATLAB R2016a then the attained results are displayed and the comparison results are carried out with fuzzy logic controller and displays the feasibility of the suggested method.  

References

[1] Ekren O, Ekren BY. Size optimization of a PV/wind hybrid energy conversion system with battery storage using simulated annealing. Applied energy. 2010 Feb 1;87(2):592-8.
[2] Zhou H, Bhattacharya T, Tran D, Siew TS, Khambadkone AM. Composite energy storage system involving battery and ultracapacitor with dynamic energy management in microgrid applications. IEEE transactions on power electronics. 2011 Mar;26(3):923-30.
[3] Gaurav S, Birla C, Lamba A, Umashankar S, Ganesan S. Energy management of PV–battery based microgrid system. Procedia Technology. 2015 Jan 1;21:103-11.
[4] Li X, Hui D, Lai X. Battery energy storage station (BESS)-based smoothing control of photovoltaic (PV) and wind power generation fluctuations. IEEE Transactions on Sustainable Energy. 2013 Apr;4(2):464-73.
[5] Rehman S, Alam MM, Meyer JP, Al-Hadhrami LM. Feasibility study of a wind–pv–diesel hybrid power system for a village. Renewable energy. 2012 Feb 1;38(1):258-68..
[6] Ngan MS, Tan CW. Assessment of economic viability for PV/wind/diesel hybrid energy system in southern Peninsular Malaysia. Renewable and Sustainable energy reviews. 2012 Jan 1;16(1):634-47..
[7] Saheb-Koussa D, Haddadi M, Belhamel M. Economic and technical study of a hybrid system (wind–photovoltaic–diesel) for rural electrification in Algeria. Applied Energy. 2009 Jul 1;86(7-8):1024-30..
[8] Bala BK, Siddique SA. Optimal design of a PV-diesel hybrid system for electrification of an isolated island—Sandwip in Bangladesh using genetic algorithm. Energy for sustainable Development. 2009 Sep 1;13(3):137-42..
[9] Thounthong P, Chunkag V, Sethakul P, Sikkabut S, Pierfederici S, Davat B. Energy management of fuel cell/solar cell/supercapacitor hybrid power source. Journal of power sources. 2011 Jan 1;196(1):313-24.
[10] García P, Torreglosa JP, Fernandez LM, Jurado F. Optimal energy management system for stand-alone wind turbine/photovoltaic/hydrogen/battery hybrid system with supervisory control based on fuzzy logic. International Journal of Hydrogen Energy. 2013 Nov 4;38(33):14146-58.
[11] Mousavi SM, Fathi SH, Riahy GH. Energy management of wind/PV and battery hybrid system with consideration of memory effect in battery. InClean Electrical Power, 2009 International Conference on 2009 Jun 9 (pp. 630-633). IEEE.
[12] Urtasun A, Sanchis P, Barricarte D, Marroyo L. Energy management strategy for a battery-diesel stand-alone system with distributed PV generation based on grid frequency modulation. Renewable Energy. 2014 Jun 1;66:325-36.
[13] Benaouadj M, Ayad MY, Becherif M, Aboubou A, Bahri M, Akhrif O. Nonlinear flatness control applied for energy management of PV/batteries/supercapacitors hybrid power sources for stand-alone applications. InSystems and Control (ICSC), 2013 3rd International Conference on 2013 Oct 29 (pp. 739-744). IEEE.
[14] Traore M, Ndiaye A, Mbodji S, Faye M, Gueye D, Tankari MT, Lefebvre G, Thiaw L. Supervision of a PV system with storage connected to the power line and design of a battery protection system. Wireless Networks. 2018:1-9.
[15] da Silva SA, Sampaio LP, de Oliveira FM, Durand FR. Feed-forward DC-bus control loop applied to a single-phase grid-connected PV system operating with PSO-based MPPT technique and active power-line conditioning. IET Renewable Power Generation. 2016 Aug 23;11(1):183-93..
[16] Reddy J, Sudhakar N. Design and Analysis of a Hybrid PV-PEMFC System with MPPT Controller for a Three-Phase Grid-Connected System. Journal of Green Engineering. 2018 Apr 30;8(2):151-76..
[17] Choudar A, Boukhetala D, Barkat S, Brucker JM. A local energy management of a hybrid PV-storage based distributed generation for microgrids. Energy Conversion and Management. 2015 Jan 15;90:21-33..
[18] Choi JW, Heo SY, Kim MK. Hybrid operation strategy of wind energy storage system for power grid frequency regulation. IET Generation, Transmission & Distribution. 2016 Mar;10(3):736-49..
[19] Chowdhury SR, Saha H. Maximum power point tracking of partially shaded solar photovoltaic arrays. Solar energy materials and solar cells. 2010 Sep 1;94(9):1441-7.
[20] Mohanty S, Subudhi B, Ray PK. A new MPPT design using grey wolf optimization technique for photovoltaic system under partial shading conditions. IEEE Transactions on Sustainable Energy. 2016 Jan;7(1):181-8.
[21] Canale M, Fagiano L, Milanese M. High altitude wind energy generation using controlled power kites. IEEE Transactions on Control Systems Technology. 2010 Mar;18(2):279-93.
[22] Divya KC, Østergaard J. Battery energy storage technology for power systems—An overview. Electric Power Systems Research. 2009 Apr 1;79(4):511-20.
[23] Roumila Z, Rekioua D, Rekioua T. Energy management based fuzzy logic controller of hybrid system wind/photovoltaic/diesel with storage battery. International Journal of Hydrogen Energy. 2017 Jul 27;42(30):19525-35.
[24] Hauke B. Basic calculation of a boost converter's power stage. Texas Instruments, Application Report November. 2009 Nov:1-9.
[25] Arulkumar K, Vijayakumar D, Palanisamy K. Recent advances and control techniques in grid connected PV system–A review. International Journal of Renewable Energy Research (IJRER). 2016 Sep 6;6(3):1037-49.
[26] Manyonge AW, Ochieng RM, Onyango FN, Shichikha JM. Mathematical modelling of wind turbine in a wind energy conversion system: Power coefficient analysis. Applied Mathematical Sciences. 2012 Jan;6(91):4527-36.
[27] Mohamed A, Khatib T. Optimal sizing of a PV/wind/diesel hybrid energy system for Malaysia. InIndustrial Technology (ICIT), 2013 IEEE International Conference on 2013 Feb 25 (pp. 752-757). IEEE.
[28] Yu H, Tarsitano D, Hu X, Cheli F. Real time energy management strategy for a fast charging electric urban bus powered by hybrid energy storage system. Energy. 2016 Oct 1;112:322-31.
[29] Sudheer KP, Gosain AK, Mohana Rangan D, Saheb SM. Modelling evaporation using an artificial neural network algorithm. Hydrological Processes. 2002 Nov;16(16):3189-202.
[30] Fu X, Li S, Fairbank M, Wunsch DC, Alonso E. Training recurrent neural networks with the Levenberg–Marquardt algorithm for optimal control of a grid-connected converter. IEEE transactions on neural networks and learning systems. 2015 Sep;26(9):1900-12.
Published
2019-03-01
How to Cite
Patil, S., & Waghmare, L. (2019). ANN based Intelligent Energy Management for a Standalone Wind/Photovoltaic/Diesel Hybrid System with Battery Storage. Majlesi Journal of Energy Management, 8(1), 1-11. Retrieved from http://journals.iaumajlesi.ac.ir/em/index/index.php/em/article/view/382
Section
Articles