A Comprehensive Review on Energy Management Strategies in Hybrid Renewable Energy System

  • Authors

    • Ch Laxmi
    • Dr M.Narendra Kumar
    • Dr Sushant Kumar Mandal
    2018-04-20
    https://doi.org/10.14419/ijet.v7i2.23.15331
  • Fuzzy, HOMER, linear programming, neural network.

  • Abstract

    The diffusion of renewable sources of energy has been increased because they reduce the environmental influence and meet the increase in demand of energy. The key feature of the renewable source of energy is their changeability and irregularity. These draw backs are overcome by combining the non-conventional sources through storage and back up. However the incorporation of renewable sources of energy makes the system more complex in respect of energy sharing, control and analysis. The main objectives of energy management configuration are to ensure the maximum exploitation of renewable sources, continues power supply to the load, lessen the rate of energy production and increase the steadiness of the system. To accomplish these purposes efficient and fast control techniques are required which are proficient of handling information perceptively and captivating acute decisions vigorously inside the operative limitations. This paper presents an explicit review of energy management approaches currently existing and those now in research for the smooth process of hybrid system with renewable sources.

     

  • References

    1. [1] S.M.Zaharee, M. KhalajiAssadi and R. Saidur, “Application of Artificial Intelligence Methods for Hybrid Energy System Optimizationâ€, Renewable and Sustainable Energy Reviews, vol 66, 2016, pp. 617-630.

      [2] Erdinc O, Uzunoglu M, “Optimum Design of hybrid renewable systems: over view of different approachesâ€, Renewable and Sustainable Energy Reviews, vol 12, 2012,pp. 1412-25.

      [3] C. Wang and M. H. Nehrir, “Power Management of a Stand-Alone Wind/PV/Fuel Cell Energy System,†IEEE Energy Conversion, Vol. 23, No. 3, 2008, pp. 957-967.

      [4] N. A. Ahmed, M. Miyatake and A. K. Al-Othman, “Power Fluctuations Suppression of Stand-Alone Hybrid Generation Combining Solar Photovoltaic/Wind Turbine and Fuel Cell Systems,†Energy Conversion and Management, Vol. 49, No. 10, 2008, pp. 2711-2719.

      [5] R. Carapellucci, L. Giordano, “Modeling and optimization of an energy generation island based on renewable technologies and hydrogen storage systemsâ€, International Journal of Hydrogen Energy, Vol. 37, 2012, pp. 2081–2093.

      [6] Sanjit Kumar Kaper and Niraj Kumar Choudhary, “A Review of Power Management and Stability Issues in Microgridâ€, 1st IEEE International Conference on Power Electronics.Intelligent Control and Energy Systems, 2016.

      [7] Upadhyay s, Sharma MP, “A review on configurations, control and sizing methodologies of hybrid energy systemsâ€, Renewable sustain energy Rev, vol 38, 2014, pp.47-63.

      [8] M.Vaccaria,G.M.Mancusoa ,J.Riccardib , M.Cantùc and G.Pannocchiaa, “A Sequential Linear Programming algorithm for economic optimization of Hybrid Renewable Energy Systemsâ€, Journal of Process Control, October 2017.

      [9] Chiang, H.C., Ma, T.T., Cheng, Y.H., Chang, J.M., Chang, W.N., “Design and implementation of a hybrid regenerative power system combining grid-tie and uninterruptible power supply functionsâ€, IET Renew. Power Gener., 2010, 4, (1), pp. 85–99.

      [10] Hugo Morais , Pe´ter Ka´da´ , Pedro Faria , Zita A. Vale , H.M. Khodr,“Optimal scheduling of a renewable micro-grid in an isolated load area using mixed-integer linear programmingâ€, Renewable Energy, Vol.35,2010,pp.151-156.

      [11] E. Dursun, O. Kilic, Comparative evaluation of different power management strategies of a stand-alone PV/Wind/PEMFC hybrid power system" International Journal of Electrical Power and Energy Systems, Vol.34, pp. 81-89, 2012.

      [12] Gupta A, Saini R, Sharma M (2010) Steady-state modeling of hybrid energy system for off grid electrification of cluster of villages. Renewable Energy 35:520–535. doi:10.1016/j.renene.2009.06.014.

      [13] P.L. Zervas, H. Sarimveis, J.A. Palyvos, N.C.G. Markatos, Model-based optimal control of a hybrid power generation system consisting of photovoltaic arrays and fuel cells", Journal of Power Sources, Vol. 181, pp. 327-338,2008.

      [14] P. Thounthong, V. Chunkag, P. Sethakul, S. Sikkabut, S. Pierfederici, B. Davat,Energy management of fuel cell/solar cell/supercapacitor hybrid power source", Journal of Power Sources, Vol. 196, pp. 313{324, 2011.

      [15] Ipsakis D, Voutetakis S, Seferlis P, Stergiopoulos F, Papadopoulou S, Elmasides C. “The effect of the hysteresis band on power management strategies in a stand-alone power systemâ€. Energy 2008;33(10):1537–50.

      [16] Y. Zhang, H.J. Jia and L. Guo, "Energy Management Strategy of Islanded Microgrid Based on Power," IEEE PES Innovative Smart Grid Tech., pp. 1-8, 2012.

      [17] DiegoFeroldi,Lucas NietoDegliuomini,MartaBasualdo, “Energy management of a hybrid system based on wind–solar power sources and bioethanolâ€,2013;91: 1440-1455.

      [18] Benoît Robyns, Arnaud Davigny and Christophe Saudemont, “Methodologies for supervision of Hybrid Energy Sources based on Storage Systems – A surveyâ€, Mathematics and Computers in Simulation, Volume 91, May 2013, Pages 52–71.

      [19] Liao Z, Ruan X. A novel power management control strategy for stand-alone photovoltaic power system. In: Proceedings of the IEEE 6th international power electronics and motion control conference, IPEMC'09; 2009.p. 445–9.

      [20] Dahmane M, Bosche J, El-Hajjaji A, Dafarivar M. Renewable energy management algorithm for stand-alone system. In: Proceedings of the international conference onrenewable energy research and applications, ICRERA; 2013.p.621–6.

      [21] Bhakta S, Mukherjee V, Shaw B. Techno-economic analysis of standalone photovoltaic/wind hybrid system for application in isolated hamlets of North-East India. J Renew Sustain Energy 2015;7(2):023126.

      [22] Sen R, Bhattacharyya SC. Off-grid electricity generation with renewable energy technologies in India: an application of HOMER. Renew Energy 2014; 62:388–98.

      [23] Abedi S, Alimardani A, Gharehpetian G, Riahy G, Hosseinian S. A comprehensive method for optimal power management and design of hybrid RESbased autonomous energy systems. Renew Sustain Energy Rev 2012; 16 (3):1577–87.

      [24] Dennis Barley C, Byron Winn C. Optimal dispatch strategy in remote hybrid power systems. Sol Energy 1996; 58(4):165–79.

      [25] Wenbo Shi, Na Li, Chi-Cheng Chu and Rajit Gadh, “Real-Time Energy Management in Microgridsâ€, IEEE transactions on microgrid,Vol :8 issue 1.

      [26] Dali M, Belhadj J, Roboam X. Theoretical and experimental study of control and energy management of a hybrid wind-photovoltaic system. In: Proceedings of the 8th international multi-conference on systems, signals and devices, SSD; 2011. p. 1–7.

      [27] Zoubir Roumila ,Djamila Rekioua and Toufik Rekioua, “Energy management based fuzzy logic controller of hybrid system wind/photovoltaic/diesel with storage batteryâ€, International Journal of Hydrogen Energy,Volume 42, Issue 30, 27 July 2017, Pages:19525-19535.

      [28] Kwi-SeongJeong, Won-Yong Lee and Chang-SooKim,â€Energy management strategies of a fuel cell/battery hybrid system using fuzzy logicsâ€, Journal of Power Sources, Vol No 145, 2005,pp. 319–326

      [29] Mehdi Hosseinzade and FarzadRajaeiSalmasi, “Power management of an isolated hybrid AC/DC micro-grid with fuzzy control of battery banksâ€, IET Renewable Power Generation Volume 9, Issue 5, 2015, pp.484-493.

      [30] Baziar A, Kavousi –Fad A, “Considering uncertainity in the optimal energy management of renewable micro-grids including storage devicesâ€, Renew Energy, 2013:158-66.

      [31] Feroldi D, Degliuomini LN, Basualdo M. Energy management of a hybrid system based on wind–solar power sources and bioethanol. ChemEng Res Design 2013;91(8):1440–55.

      [32] A.Tabanjat, M.Becherifb , D.Hisselc and H.S.Ramadanbd, “Energy management hypothesis for hybrid power system of H2/WT/PV/GMT via AI techniquesâ€, International Journal of Hydrogen Energy,July 2017.

      [33] Bruni G, Cordiner S, Mulone V, Rocco V, Spagnolo F. A study on the energy management in domestic micro-grids based on model predictive control strategies. Energy Convers Manag 2015;102:50–8.

      [34] Basir Khan MR, Jidin R, Pasupuleti J. Multi-agent based distributed control architecture for microgrid energy management and optimization. Energy Convers Manag 2016;112:288–307.

      [35] Brka A, Kothapalli G, Al-Abdeli YM. Predictive power management strategies for stand-alone hydrogen systems: Lab-scale validation. Int J Hydrogen Energy 2015; 40(32):9907–16.

      [36] Upadhyay S, Sharma MP. Selection of a suitable energy management strategy for a hybrid energy system in a remote rural area of India. Energy 2016; 94:352–66.

      [37] Bonissone PP. Soft computing: the convergence of emerging reasoning technologies. Soft Comput 1997;1(1):6–18.

      [38] Palma-Behnke R, Benavides C, Aranda E, Llanos J, Sáez D. Energy management system for a renewable based microgrid with a demand side management mechanism. In: Proceedings of the IEEE symposium on computational intelligence applications in smart grid, CIASG; 2011. p. 1–8.

      [39] Azmy AM, Erlich I. Online optimal management of PEMFuel cells using neural networks. IEEE Trans Power Deliv 2005;20(2):1051–8.

      [40] Hatti M, Tioursi M. Dynamic neural network controller model of PEM fuel cell system. Int J Hydrogen Energy 2009;34(11):5015–21.

      [41] Chen, Y.K., Wu, Y.C., Song, C.C., Chen, Y.S.: ‘Design and implementation of energy management system with fuzzy control for DC micro-grid systems’, IEEE Trans. Power Electron., 2013, 28, (4), pp. 1563–1570.

      [42] O. Erdinc, B. Vural, M. Uzunoglu, A wavelet-fuzzy logic based energy management strategy for a fuel cell/battery/ultra-capacitor hybrid vehicular power system", Journal of Power Sources, Vol. 194, pp. 369-380,2009.

      [43] Valenciaga F,Puleston PF.Supervisor control for a stand-alone hybrid generation system using wind and photovoltaic energy. IEEE Trans Energy Convers 2005;20(2):398–405.

      [44] Zaheeruddin and MunishManas , “Renewable energy management through microgrid central controller design: An approach to integrate solar, wind and biomass with batteryâ€, Energy Reports, Volume 1, November 2015, Pages 156-163.

      [45] Nehrir M H,Wang C,Strunz K,Aki H,Rama kumar R,Bing J,etal. A review of Hybrid renewable /alternative energy systems for electric power generation: configurations, control, and applications. IEEE Trans Sustain Energy 2011; 2(4):392–403.

      [46] KoH ,Jats kevich J. Power quality control of wind–hybrid power generation system using fuzzy-LQR controller.IEEE Trans Energy Convers 2007;22(2):516–27.

      [47] Jiang Z,Douga lR.Hierarchical microgrid paradigm for integration of distributed energy resources. In:Proceedings of the IEEE Power Engineering Society general meeting. Pitts burgh (PA); July,2008,pp.20–24.

      [48] Torreglosa JP,García P,Fernández LM,Jurado F.Hierarchical energy management system for stand-alone hybrid system based on generation costs and cascade control. Energy Convers Manag 2014; 77: 514–26.

      [49] Malla SG,Bhende CN.Voltage control of stand-alone wind and solar energy system. Electr Power Energy Syst 2014; 56:361–73.

      [50] Das DC, Roy AK, Sinha N.GA based frequency controller for solar thermal diesel–wind hybrid energy generation/energy storage system. Electrical Power Energy System 2012;43:262–79.

      [51] Uzunoglu M,Onar OC,Alam MS. Modeling, control and simulation of a PV/FC/UC based hybrid power generation system for standalone applications. Renew Energy 2009; 34:509–20.

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  • How to Cite

    Laxmi, C., M.Narendra Kumar, D., & Sushant Kumar Mandal, D. (2018). A Comprehensive Review on Energy Management Strategies in Hybrid Renewable Energy System. International Journal of Engineering & Technology, 7(2.23), 450-454. https://doi.org/10.14419/ijet.v7i2.23.15331

    Received date: 2018-07-09

    Accepted date: 2018-07-09

    Published date: 2018-04-20