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A Three-Part Electricity Price Mechanism for Photovoltaic-Battery Energy Storage Power Plants Considering the Power Quality and Ancillary Service

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  • Yajing Gao

    (School of Electrical and Electronic Engineering, North China Electric Power University, Baoding 071003, China)

  • Fushen Xue

    (School of Electrical and Electronic Engineering, North China Electric Power University, Baoding 071003, China)

  • Wenhai Yang

    (School of Electrical and Electronic Engineering, North China Electric Power University, Baoding 071003, China)

  • Yanping Sun

    (School of Electrical and Electronic Engineering, North China Electric Power University, Baoding 071003, China)

  • Yongjian Sun

    (School of Electrical and Electronic Engineering, North China Electric Power University, Baoding 071003, China)

  • Haifeng Liang

    (School of Electrical and Electronic Engineering, North China Electric Power University, Baoding 071003, China)

  • Peng Li

    (School of Electrical and Electronic Engineering, North China Electric Power University, Baoding 071003, China)

Abstract

To solve the problem of solar abandoning, which is accompanied by the rapid development of photovoltaic (PV) power generation, a demonstration of a photovoltaic-battery energy storage system (PV-BESS) power plant has been constructed in Qinghai province in China. However, it is difficult for the PV-BESS power plant to survive and develop with the current electricity price mechanism and subsidy policy. In this paper, a three-part electricity price mechanism is proposed based on a deep analysis of the construction and operation costs and economic income. The on-grid electricity price is divided into three parts: the capacity price, graded electricity price, and ancillary service price. First, to ensure that the investment of the PV-BESS power plant would achieve the industry benchmark income, the capacity price and benchmark electricity price are calculated using the discounted cash flow method. Then, the graded electricity price is calculated according to the grade of the quality of grid-connected power. Finally, the ancillary service price is calculated based on the graded electricity price and ancillary service compensation. The case studies verify the validity of the three-part electricity price mechanism. The verification shows that the three-part electricity price mechanism can help PV-BESS power plants to obtain good economic returns, which can promote the development of PV-BESS power plants.

Suggested Citation

  • Yajing Gao & Fushen Xue & Wenhai Yang & Yanping Sun & Yongjian Sun & Haifeng Liang & Peng Li, 2017. "A Three-Part Electricity Price Mechanism for Photovoltaic-Battery Energy Storage Power Plants Considering the Power Quality and Ancillary Service," Energies, MDPI, vol. 10(9), pages 1-21, August.
  • Handle: RePEc:gam:jeners:v:10:y:2017:i:9:p:1257-:d:109599
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    as
    1. Thai-Thanh Nguyen & Hyeong-Jun Yoo & Hak-Man Kim, 2017. "Analyzing the Impacts of System Parameters on MPC-Based Frequency Control for a Stand-Alone Microgrid," Energies, MDPI, vol. 10(4), pages 1-17, March.
    2. Rui Hou & Huihui Song & Thai-Thanh Nguyen & Yanbin Qu & Hak-Man Kim, 2017. "Robustness Improvement of Superconducting Magnetic Energy Storage System in Microgrids Using an Energy Shaping Passivity-Based Control Strategy," Energies, MDPI, vol. 10(5), pages 1-23, May.
    3. Zakeri, Behnam & Syri, Sanna, 2015. "Electrical energy storage systems: A comparative life cycle cost analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 42(C), pages 569-596.
    4. Lai, Chun Sing & McCulloch, Malcolm D., 2017. "Levelized cost of electricity for solar photovoltaic and electrical energy storage," Applied Energy, Elsevier, vol. 190(C), pages 191-203.
    5. Cho, Joohyun & Kleit, Andrew N., 2015. "Energy storage systems in energy and ancillary markets: A backwards induction approach," Applied Energy, Elsevier, vol. 147(C), pages 176-183.
    6. Singh, Parm Pal & Singh, Sukhmeet, 2010. "Realistic generation cost of solar photovoltaic electricity," Renewable Energy, Elsevier, vol. 35(3), pages 563-569.
    7. Yajing Gao & Huaxin Cheng & Jing Zhu & Haifeng Liang & Peng Li, 2016. "The Optimal Dispatch of a Power System Containing Virtual Power Plants under Fog and Haze Weather," Sustainability, MDPI, vol. 8(1), pages 1-22, January.
    8. Yagmur, Levent, 2016. "Multi-criteria evaluation and priority analysis for localization equipment in a thermal power plant using the AHP (analytic hierarchy process)," Energy, Elsevier, vol. 94(C), pages 476-482.
    9. Talavera, D.L. & Pérez-Higueras, P. & Ruíz-Arias, J.A. & Fernández, E.F., 2015. "Levelised cost of electricity in high concentrated photovoltaic grid connected systems: Spatial analysis of Spain," Applied Energy, Elsevier, vol. 151(C), pages 49-59.
    10. Somi Jung & Dongwoo Kim, 2017. "Pareto-Efficient Capacity Planning for Residential Photovoltaic Generation and Energy Storage with Demand-Side Load Management," Energies, MDPI, vol. 10(4), pages 1-20, March.
    11. Berwal, Anil K. & Kumar, Sanjay & Kumari, Nisha & Kumar, Virender & Haleem, Abid, 2017. "Design and analysis of rooftop grid tied 50kW capacity Solar Photovoltaic (SPV) power plant," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 1288-1299.
    12. Fares, Robert L. & Meyers, Jeremy P. & Webber, Michael E., 2014. "A dynamic model-based estimate of the value of a vanadium redox flow battery for frequency regulation in Texas," Applied Energy, Elsevier, vol. 113(C), pages 189-198.
    13. Cartelle Barros, Juan José & Lara Coira, Manuel & de la Cruz López, María Pilar & del Caño Gochi, Alfredo, 2016. "Probabilistic life-cycle cost analysis for renewable and non-renewable power plants," Energy, Elsevier, vol. 112(C), pages 774-787.
    14. Ibrahem E. Atawi & Ahmed M. Kassem, 2017. "Optimal Control Based on Maximum Power Point Tracking (MPPT) of an Autonomous Hybrid Photovoltaic/Storage System in Micro Grid Applications," Energies, MDPI, vol. 10(5), pages 1-14, May.
    15. Lesser, Jonathan A. & Su, Xuejuan, 2008. "Design of an economically efficient feed-in tariff structure for renewable energy development," Energy Policy, Elsevier, vol. 36(3), pages 981-990, March.
    16. Li, Wandi & Luo, Dongkun & Yuan, Jiehui, 2017. "A new approach for the comprehensive grading of petroleum reserves in China: Two natural gas examples," Energy, Elsevier, vol. 118(C), pages 914-926.
    17. Fabio Bignucolo & Alberto Cerretti & Massimiliano Coppo & Andrea Savio & Roberto Turri, 2017. "Effects of Energy Storage Systems Grid Code Requirements on Interface Protection Performances in Low Voltage Networks," Energies, MDPI, vol. 10(3), pages 1-20, March.
    18. Yajing Gao & Jing Zhu & Huaxin Cheng & Fushen Xue & Qing Xie & Peng Li, 2016. "Study of Short-Term Photovoltaic Power Forecast Based on Error Calibration under Typical Climate Categories," Energies, MDPI, vol. 9(7), pages 1-15, July.
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    1. Tsao, Yu-Chung & Thanh, Vo-Van & Lu, Jye-Chyi, 2022. "Efficiency of resilient three-part tariff pricing schemes in residential power markets," Energy, Elsevier, vol. 239(PD).

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