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Comparative study of the dynamic programming-based and rule-based operation strategies for grid-connected PV-battery systems of office buildings

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  • Zou, Bin
  • Peng, Jinqing
  • Li, Sihui
  • Li, Yi
  • Yan, Jinyue
  • Yang, Hongxing

Abstract

The proper operation strategy is of great importance for photovoltaic-battery (PVB) systems to achieve desirable performance. Therefore, it’s necessary to identify and evaluate the characteristics of different operation strategies for engineering application. In this study, three operation strategies including the dynamic programming (DP)-based strategy and two widely used rule-based strategies, namely the maximizing self-consumption (MSC) strategy and time-of-use (TOU) strategy, are compared comprehensively for the grid-connected PVB system of an office building. Several important performance aspects, including battery charge/discharge process, techno-economic performance, energy distribution, battery aging and impacts on utility grid, are analyzed and compared. The results show that the DP strategy has greater flexibility than the rule-based strategies to adapt to different PV-load distributions and electricity pricing mechanisms, and has the advantage of achieving better economic performance and reducing burden on the grid. Although the economic performance of the MSC strategy is relatively poor, it has the highest self-consumption rate (SCR) and self-sufficiency rate (SSR), thereby having the advantage of using PV generation in timely manner to suit load demand. In addition, the MSC strategy results in the least battery aging, while having the greatest negative impact on the utility grid. The TOU strategy only outperforms the MSC strategy in economic performance under the condition of relatively low battery cost (<1600 CNY/kWh) and causes the most battery aging as well. The findings in this work can provide guidance for decisionmakers to determine the proper management strategy for practical grid-connected PVB systems.

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  • Zou, Bin & Peng, Jinqing & Li, Sihui & Li, Yi & Yan, Jinyue & Yang, Hongxing, 2022. "Comparative study of the dynamic programming-based and rule-based operation strategies for grid-connected PV-battery systems of office buildings," Applied Energy, Elsevier, vol. 305(C).
    • Handle: RePEc:eee:appene:v:305:y:2022:i:c:s0306261921011946
    DOI: 10.1016/j.apenergy.2021.117875
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    1. Schram, Wouter L. & Lampropoulos, Ioannis & van Sark, Wilfried G.J.H.M., 2018. "Photovoltaic systems coupled with batteries that are optimally sized for household self-consumption: Assessment of peak shaving potential," Applied Energy, Elsevier, vol. 223(C), pages 69-81.
    2. Jinyue Yan & Ying Yang & Pietro Elia Campana & Jijiang He, 2019. "City-level analysis of subsidy-free solar photovoltaic electricity price, profits and grid parity in China," Nature Energy, Nature, vol. 4(8), pages 709-717, August.
    3. Mahmoudimehr, Javad & Sebghati, Parvin, 2019. "A novel multi-objective Dynamic Programming optimization method: Performance management of a solar thermal power plant as a case study," Energy, Elsevier, vol. 168(C), pages 796-814.
    4. Talavera, D.L. & Muñoz-Rodriguez, F.J. & Jimenez-Castillo, G. & Rus-Casas, C., 2019. "A new approach to sizing the photovoltaic generator in self-consumption systems based on cost–competitiveness, maximizing direct self-consumption," Renewable Energy, Elsevier, vol. 130(C), pages 1021-1035.
    5. Ratnam, Elizabeth L. & Weller, Steven R. & Kellett, Christopher M., 2015. "An optimization-based approach to scheduling residential battery storage with solar PV: Assessing customer benefit," Renewable Energy, Elsevier, vol. 75(C), pages 123-134.
    6. Yang, Fei & Xia, Xiaohua, 2017. "Techno-economic and environmental optimization of a household photovoltaic-battery hybrid power system within demand side management," Renewable Energy, Elsevier, vol. 108(C), pages 132-143.
    7. Darghouth, Naïm R. & Wiser, Ryan H. & Barbose, Galen, 2016. "Customer economics of residential photovoltaic systems: Sensitivities to changes in wholesale market design and rate structures," Renewable and Sustainable Energy Reviews, Elsevier, vol. 54(C), pages 1459-1469.
    8. Costa, Andrea & Keane, Marcus M. & Torrens, J. Ignacio & Corry, Edward, 2013. "Building operation and energy performance: Monitoring, analysis and optimisation toolkit," Applied Energy, Elsevier, vol. 101(C), pages 310-316.
    9. Mulleriyawage, U.G.K. & Shen, W.X., 2020. "Optimally sizing of battery energy storage capacity by operational optimization of residential PV-Battery systems: An Australian household case study," Renewable Energy, Elsevier, vol. 160(C), pages 852-864.
    10. Angenendt, Georg & Zurmühlen, Sebastian & Axelsen, Hendrik & Sauer, Dirk Uwe, 2018. "Comparison of different operation strategies for PV battery home storage systems including forecast-based operation strategies," Applied Energy, Elsevier, vol. 229(C), pages 884-899.
    11. Sharafi, Masoud & ELMekkawy, Tarek Y., 2014. "Multi-objective optimal design of hybrid renewable energy systems using PSO-simulation based approach," Renewable Energy, Elsevier, vol. 68(C), pages 67-79.
    12. Georgiou, Giorgos S. & Christodoulides, Paul & Kalogirou, Soteris A., 2020. "Optimizing the energy storage schedule of a battery in a PV grid-connected nZEB using linear programming," Energy, Elsevier, vol. 208(C).
    13. Zhang, Yijie & Ma, Tao & Elia Campana, Pietro & Yamaguchi, Yohei & Dai, Yanjun, 2020. "A techno-economic sizing method for grid-connected household photovoltaic battery systems," Applied Energy, Elsevier, vol. 269(C).
    14. Nyholm, Emil & Goop, Joel & Odenberger, Mikael & Johnsson, Filip, 2016. "Solar photovoltaic-battery systems in Swedish households – Self-consumption and self-sufficiency," Applied Energy, Elsevier, vol. 183(C), pages 148-159.
    15. Javadi, Mohammad Sadegh & Gough, Matthew & Lotfi, Mohamed & Esmaeel Nezhad, Ali & Santos, Sérgio F. & Catalão, João P.S., 2020. "Optimal self-scheduling of home energy management system in the presence of photovoltaic power generation and batteries," Energy, Elsevier, vol. 210(C).
    16. Li, Ran & Wang, Zhimin & Gu, Chenghong & Li, Furong & Wu, Hao, 2016. "A novel time-of-use tariff design based on Gaussian Mixture Model," Applied Energy, Elsevier, vol. 162(C), pages 1530-1536.
    17. Hernández, J.C. & Sanchez-Sutil, F. & Muñoz-Rodríguez, F.J., 2019. "Design criteria for the optimal sizing of a hybrid energy storage system in PV household-prosumers to maximize self-consumption and self-sufficiency," Energy, Elsevier, vol. 186(C).
    18. Sani Hassan, Abubakar & Cipcigan, Liana & Jenkins, Nick, 2017. "Optimal battery storage operation for PV systems with tariff incentives," Applied Energy, Elsevier, vol. 203(C), pages 422-441.
    19. Peng, Jinqing & Curcija, Dragan C. & Thanachareonkit, Anothai & Lee, Eleanor S. & Goudey, Howdy & Selkowitz, Stephen E., 2019. "Study on the overall energy performance of a novel c-Si based semitransparent solar photovoltaic window," Applied Energy, Elsevier, vol. 242(C), pages 854-872.
    20. Holger C. Hesse & Rodrigo Martins & Petr Musilek & Maik Naumann & Cong Nam Truong & Andreas Jossen, 2017. "Economic Optimization of Component Sizing for Residential Battery Storage Systems," Energies, MDPI, vol. 10(7), pages 1-19, June.
    21. Richard Bellman, 1957. "On a Dynamic Programming Approach to the Caterer Problem--I," Management Science, INFORMS, vol. 3(3), pages 270-278, April.
    22. Gitizadeh, Mohsen & Fakharzadegan, Hamid, 2014. "Battery capacity determination with respect to optimized energy dispatch schedule in grid-connected photovoltaic (PV) systems," Energy, Elsevier, vol. 65(C), pages 665-674.
    23. Wang, Ran & Feng, Wei & Wang, Lan & Lu, Shilei, 2021. "A comprehensive evaluation of zero energy buildings in cold regions: Actual performance and key technologies of cases from China, the US, and the European Union," Energy, Elsevier, vol. 215(PA).
    24. Azuatalam, Donald & Paridari, Kaveh & Ma, Yiju & Förstl, Markus & Chapman, Archie C. & Verbič, Gregor, 2019. "Energy management of small-scale PV-battery systems: A systematic review considering practical implementation, computational requirements, quality of input data and battery degradation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 555-570.
    25. Sharma, Vanika & Haque, Mohammed H. & Aziz, Syed Mahfuzul, 2019. "Energy cost minimization for net zero energy homes through optimal sizing of battery storage system," Renewable Energy, Elsevier, vol. 141(C), pages 278-286.
    26. Ghorbani, Narges & Kasaeian, Alibakhsh & Toopshekan, Ashkan & Bahrami, Leyli & Maghami, Amin, 2018. "Optimizing a hybrid wind-PV-battery system using GA-PSO and MOPSO for reducing cost and increasing reliability," Energy, Elsevier, vol. 154(C), pages 581-591.
    27. Luthander, Rasmus & Widén, Joakim & Nilsson, Daniel & Palm, Jenny, 2015. "Photovoltaic self-consumption in buildings: A review," Applied Energy, Elsevier, vol. 142(C), pages 80-94.
    28. Liu, Jia & Chen, Xi & Yang, Hongxing & Shan, Kui, 2021. "Hybrid renewable energy applications in zero-energy buildings and communities integrating battery and hydrogen vehicle storage," Applied Energy, Elsevier, vol. 290(C).
    29. Liu, Jia & Chen, Xi & Yang, Hongxing & Li, Yutong, 2020. "Energy storage and management system design optimization for a photovoltaic integrated low-energy building," Energy, Elsevier, vol. 190(C).
    30. Dusonchet, L. & Telaretti, E., 2015. "Comparative economic analysis of support policies for solar PV in the most representative EU countries," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 986-998.
    31. 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.
    32. Abdmouleh, Zeineb & Gastli, Adel & Ben-Brahim, Lazhar & Haouari, Mohamed & Al-Emadi, Nasser Ahmed, 2017. "Review of optimization techniques applied for the integration of distributed generation from renewable energy sources," Renewable Energy, Elsevier, vol. 113(C), pages 266-280.
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