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Equilibrium strategy-based economic-reliable approach for day-ahead scheduling towards solar-wind-gas hybrid power generation system: A case study from China

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  • Xu, Jiuping
  • Liu, Liying
  • Wang, Fengjuan

Abstract

Integrating renewables and reliable fossil fuels in power generation is considered as one of the most promising and efficient strategy to solve carbon emissions and renewables uncertainties. In this paper, a new hybrid solar-wind-gas system fully considering natural gas and renewables cooperative complementarity in electric power generation is proposed, which is capable of achieving an equilibrium between benefits and reliability. A multi-objective optimization model simultaneously considering total income and power supply-demand deviation is then developed to obtain the best possible scheduling strategies under twelve natural scenarios, with ϵ-constraint method and fuzzy satisfying approach utilized. A real case from Golmud, China clearly demonstrates that the complementarity in this hybrid power system can effectively realize economic-reliable equilibrium. Specifically, the maximum total economic benefits can reach 31 176 × 103CNY in summer, and natural gas can provide a 100% supplementary power to ensure system reliability. Renewable power generation shows higher economical efficiency, so the highest benefits of 10 903 × 103CNY occur in sunny summer days, when renewable power output ratio is up to 68.84%. Meanwhile, natural gas, as a reliable energy source, has a higher complementary advantage over renewable energy, and its maximum change rate can be up to 14.54% which is almost 10 times of wind power.

Suggested Citation

  • Xu, Jiuping & Liu, Liying & Wang, Fengjuan, 2022. "Equilibrium strategy-based economic-reliable approach for day-ahead scheduling towards solar-wind-gas hybrid power generation system: A case study from China," Energy, Elsevier, vol. 240(C).
    • Handle: RePEc:eee:energy:v:240:y:2022:i:c:s0360544221029777
    DOI: 10.1016/j.energy.2021.122728
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    Cited by:

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    2. Hu, Wenyu & E, Jiaqiang & Zhang, Feng & Chen, Jingwei & Ma, Yinjie & Leng, Erwei, 2022. "Investigation on cooperative mechanism between convective wind energy harvesting and dust collection during vehicle driving on the highway," Energy, Elsevier, vol. 260(C).
    3. Chaoyang Chen & Hualing Liu & Yong Xiao & Fagen Zhu & Li Ding & Fuwen Yang, 2022. "Power Generation Scheduling for a Hydro-Wind-Solar Hybrid System: A Systematic Survey and Prospect," Energies, MDPI, vol. 15(22), pages 1-31, November.
    4. Wang He & Min Liu & Chaowen Zuo & Kai Wang, 2023. "Massive Multi-Source Joint Outbound and Benefit Distribution Model Based on Cooperative Game," Energies, MDPI, vol. 16(18), pages 1-19, September.

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