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Energy management system for stand-alone diesel-wind-biomass microgrid with energy storage system

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  • Wang, Chengshan
  • Liu, Yixin
  • Li, Xialin
  • Guo, Li
  • Qiao, Lei
  • Lu, Hai

Abstract

An energy management system for stand-alone microgrid composed of diesel generators, wind turbine generator, biomass generator and an ESS (energy storage system) is proposed in this paper. Different operation objectives are achieved by a hierarchical control structure with different time scales. Firstly, the optimal schedules of the diesel generators, wind turbine generator, biomass generator and ESS are determined fifteen minutes ahead according to the super short-term forecast of load and wind speed in the optimal scheduling layer. Comprehensive analysis which takes the uncertainty of load and wind speed into account is conducted in this layer to minimize the operation cost of the system and ensure a desirable range of the state of charge of the ESS. Secondly, the operation points of each unit are regulated dynamically to guarantee real-time power balance and safety range of diesel generation in the real-time control layer, based on which the response capability when suffering significant forecast deviation and other emergency issues, e.g. sudden load-up can be improved. Finally, the effectiveness of the proposed energy management strategy is verified on an RT_Lab based real-time simulation platform, and the economic performances with different types of ESS are analyzed as well.

Suggested Citation

  • Wang, Chengshan & Liu, Yixin & Li, Xialin & Guo, Li & Qiao, Lei & Lu, Hai, 2016. "Energy management system for stand-alone diesel-wind-biomass microgrid with energy storage system," Energy, Elsevier, vol. 97(C), pages 90-104.
  • Handle: RePEc:eee:energy:v:97:y:2016:i:c:p:90-104
    DOI: 10.1016/j.energy.2015.12.099
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    1. Moghaddam, Amjad Anvari & Seifi, Alireza & Niknam, Taher & Alizadeh Pahlavani, Mohammad Reza, 2011. "Multi-objective operation management of a renewable MG (micro-grid) with back-up micro-turbine/fuel cell/battery hybrid power source," Energy, Elsevier, vol. 36(11), pages 6490-6507.
    2. Díaz-González, Francisco & Sumper, Andreas & Gomis-Bellmunt, Oriol & Villafáfila-Robles, Roberto, 2012. "A review of energy storage technologies for wind power applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(4), pages 2154-2171.
    3. Ravindra, Kumudhini & Iyer, Parameshwar P., 2014. "Decentralized demand–supply matching using community microgrids and consumer demand response: A scenario analysis," Energy, Elsevier, vol. 76(C), pages 32-41.
    4. Carta, José A. & Velázquez, Sergio, 2011. "A new probabilistic method to estimate the long-term wind speed characteristics at a potential wind energy conversion site," Energy, Elsevier, vol. 36(5), pages 2671-2685.
    5. Kusakana, Kanzumba, 2015. "Operation cost minimization of photovoltaic–diesel–battery hybrid systems," Energy, Elsevier, vol. 85(C), pages 645-653.
    6. Stoppato, Anna & Cavazzini, Giovanna & Ardizzon, Guido & Rossetti, Antonio, 2014. "A PSO (particle swarm optimization)-based model for the optimal management of a small PV(Photovoltaic)-pump hydro energy storage in a rural dry area," Energy, Elsevier, vol. 76(C), pages 168-174.
    7. Dali, Mehdi & Belhadj, Jamel & Roboam, Xavier, 2010. "Hybrid solar–wind system with battery storage operating in grid-connected and standalone mode: Control and energy management – Experimental investigation," Energy, Elsevier, vol. 35(6), pages 2587-2595.
    8. Isherwood, William & Smith, J.Ray & Aceves, Salvador M & Berry, Gene & Clark, Woodrow & Johnson, Ronald & Das, Deben & Goering, Douglas & Seifert, Richard, 2000. "Remote power systems with advanced storage technologies for Alaskan villages," Energy, Elsevier, vol. 25(10), pages 1005-1020.
    9. Galeotti, Matteo & Cinà, Lucio & Giammanco, Corrado & Cordiner, Stefano & Di Carlo, Aldo, 2015. "Performance analysis and SOH (state of health) evaluation of lithium polymer batteries through electrochemical impedance spectroscopy," Energy, Elsevier, vol. 89(C), pages 678-686.
    10. Krieger, Elena M. & Cannarella, John & Arnold, Craig B., 2013. "A comparison of lead-acid and lithium-based battery behavior and capacity fade in off-grid renewable charging applications," Energy, Elsevier, vol. 60(C), pages 492-500.
    11. Basbous, Tammam & Younes, Rafic & Ilinca, Adrian & Perron, Jean, 2015. "Optimal management of compressed air energy storage in a hybrid wind-pneumatic-diesel system for remote area's power generation," Energy, Elsevier, vol. 84(C), pages 267-278.
    12. Ronald Coase & Ning Wang, 2012. "China in Transition," Palgrave Macmillan Books, in: How China Became Capitalist, chapter 2, pages 22-40, Palgrave Macmillan.
    Full references (including those not matched with items on IDEAS)

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