Equilibrium strategy-based economic-reliable approach for day-ahead scheduling towards solar-wind-gas hybrid power generation system: A case study from China
Jiuping Xu,
Liying Liu and
Fengjuan Wang
Energy, 2022, vol. 240, issue C
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.
Keywords: Hybrid solar-wind-gas generation system; Equilibrium strategy; Day-ahead optimal scheduling; Uncertainty in renewable energy; Complementarity (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (4)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:240:y:2022:i:c:s0360544221029777
DOI: 10.1016/j.energy.2021.122728
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