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Energy regulating and fluctuation stabilizing by air source heat pump and battery energy storage system in microgrid

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  • Yang, Lian
  • Tai, Nengling
  • Fan, Chunju
  • Meng, Yuanye

Abstract

The energy consumption statistics of buildings have shown that in China, 50%–70% of the annual energy consumption is consumed by cooling and heating systems, the majorities are air conditions and hot water supply. To cut down the investment of BESS, this paper studies the application of Air Source Heat Pump (ASHP) in a photovoltaic/Battery Energy Storage System (PV/BESS) microgrid. Energy dispatching strategy is proposed to take advantage of the thermal storage, and fluctuation stabilization strategy is proposed based on the decouple characteristics between Heat Pumps (HPs) and terminal devices. As the characteristics of fluctuation and the inputted capacity of ASHP should be considered during the stabilization, there are too many input variables for traditional fuzzy logic algorithm. According to this, this paper proposes an improved fuzzy logic algorithm, Double Fuzzy Logic (DFL) algorithm, to involve in all the necessary variables. At last, a case is simulated to verify the feasibility of the energy dispatching and fluctuation stabilization strategy. The results have verified that ASHP can decrease the capacities of PV/BESS and stabilize the fluctuation effectively.

Suggested Citation

  • Yang, Lian & Tai, Nengling & Fan, Chunju & Meng, Yuanye, 2016. "Energy regulating and fluctuation stabilizing by air source heat pump and battery energy storage system in microgrid," Renewable Energy, Elsevier, vol. 95(C), pages 202-212.
    • Handle: RePEc:eee:renene:v:95:y:2016:i:c:p:202-212
    DOI: 10.1016/j.renene.2016.04.019
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    1. Dizqah, Arash M. & Maheri, Alireza & Busawon, Krishna, 2014. "An accurate method for the PV model identification based on a genetic algorithm and the interior-point method," Renewable Energy, Elsevier, vol. 72(C), pages 212-222.
    2. Bakhshi, Reza & Sadeh, Javad & Mosaddegh, Hamid-Reza, 2014. "Optimal economic designing of grid-connected photovoltaic systems with multiple inverters using linear and nonlinear module models based on Genetic Algorithm," Renewable Energy, Elsevier, vol. 72(C), pages 386-394.
    3. Graditi, G. & Ippolito, M.G. & Telaretti, E. & Zizzo, G., 2016. "Technical and economical assessment of distributed electrochemical storages for load shifting applications: An Italian case study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 515-523.
    4. Nottrott, A. & Kleissl, J. & Washom, B., 2013. "Energy dispatch schedule optimization and cost benefit analysis for grid-connected, photovoltaic-battery storage systems," Renewable Energy, Elsevier, vol. 55(C), pages 230-240.
    5. Almeida, Pedro M. & Barbosa, Pedro G. & Oliveira, Janaina G. & Duarte, Jorge L. & Ribeiro, Paulo F., 2015. "Digital proportional multi-resonant current controller for improving grid-connected photovoltaic systems," Renewable Energy, Elsevier, vol. 76(C), pages 662-669.
    6. Bouabdallah, A. & Olivier, J.C. & Bourguet, S. & Machmoum, M. & Schaeffer, E., 2015. "Safe sizing methodology applied to a standalone photovoltaic system," Renewable Energy, Elsevier, vol. 80(C), pages 266-274.
    7. Mohsenzadeh, Milad & Hosseini, Reza, 2015. "A photovoltaic/thermal system with a combination of a booster diffuse reflector and vacuum tube for generation of electricity and hot water production," Renewable Energy, Elsevier, vol. 78(C), pages 245-252.
    8. Obara, Shin’ya & Watanabe, Seizi & Rengarajan, Balaji, 2011. "Operation method study based on the energy balance of an independent microgrid using solar-powered water electrolyzer and an electric heat pump," Energy, Elsevier, vol. 36(8), pages 5200-5213.
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    4. Elisa Marrasso & Carlo Roselli & Francesco Tariello, 2020. "Comparison of Two Solar PV-Driven Air Conditioning Systems with Different Tracking Modes," Energies, MDPI, vol. 13(14), pages 1-24, July.
    5. Wakui, Tetsuya & Sawada, Kento & Yokoyama, Ryohei & Aki, Hirohisa, 2019. "Predictive management for energy supply networks using photovoltaics, heat pumps, and battery by two-stage stochastic programming and rule-based control," Energy, Elsevier, vol. 179(C), pages 1302-1319.
    6. Fan, Feilong & Huang, Wentao & Tai, Nengling & Zheng, Xiaodong & Hu, Yan & Ma, Zhoujun, 2018. "A conditional depreciation balancing strategy for the equitable operation of extended hybrid energy storage systems," Applied Energy, Elsevier, vol. 228(C), pages 1937-1952.
    7. Deng, Na & Cai, Rongchang & Gao, Yuan & Zhou, Zhihua & He, Guansong & Liu, Dongyi & Zhang, Awen, 2017. "A MINLP model of optimal scheduling for a district heating and cooling system: A case study of an energy station in Tianjin," Energy, Elsevier, vol. 141(C), pages 1750-1763.
    8. Abed, Bouabdellah & Benzerdjeb, Abdelouahab & Benmansour, Abdeljellil & Achache, Habib & Ferhat, Rabia & Debz, Abderrahmene & Gorlov, Alaxender M., 2021. "An efficient hydrodynamic method for cross-flow turbines performance evaluation and comparison with the experiment," Renewable Energy, Elsevier, vol. 180(C), pages 993-1003.
    9. Guo, Shanshan & Xiong, Rui & Wang, Kan & Sun, Fengchun, 2018. "A novel echelon internal heating strategy of cold batteries for all-climate electric vehicles application," Applied Energy, Elsevier, vol. 219(C), pages 256-263.
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    11. Sudhanshu Ranjan & Smriti Jaiswal & Abdul Latif & Dulal Chandra Das & Nidul Sinha & S. M. Suhail Hussain & Taha Selim Ustun, 2021. "Isolated and Interconnected Multi-Area Hybrid Power Systems: A Review on Control Strategies," Energies, MDPI, vol. 14(24), pages 1-20, December.

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