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Modeling formulation and validation for accelerated simulation and flexibility assessment on large scale power systems under higher renewable penetrations

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  • Han, Xingning
  • Chen, Xinyu
  • McElroy, Michael B.
  • Liao, Shiwu
  • Nielsen, Chris P.
  • Wen, Jinyu

Abstract

Deploying high penetration of variable renewables represents a critical pathway for decarbonizing the power sector. Hydro power (including pumped-hydro), batteries, and fast responding thermal units are essential in providing system flexibility at elevated renewable penetration. How to quantify the merit of flexibility from these sources in accommodating variable renewables, and to evaluate the operational costs considering system flexibility constraints have been central challenges for future power system planning. This paper presents an improved linear formulation of the unit commitment model adopting unit grouping techniques to expedite evaluation of the curtailment of renewables and operational costs for large-scale power systems. All decision variables in this formulation are continuous, and all chronological constraints are formulated subsequently. Tested based on actual data from a regional power system in China, the computational speed of the model is more than 20,000 times faster than the rigorous unit commitment model, with less than 1% difference in results. Hourly simulation for an entire year takes less than 3 min. The results demonstrate strong potential to apply the proposed model to long term planning related issues, such as flexibility assessment, wind curtailment analysis, and operational cost evaluation, which could set a methodological foundation for evaluating the optimal combination of wind, solar and hydro investments.

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  • Han, Xingning & Chen, Xinyu & McElroy, Michael B. & Liao, Shiwu & Nielsen, Chris P. & Wen, Jinyu, 2019. "Modeling formulation and validation for accelerated simulation and flexibility assessment on large scale power systems under higher renewable penetrations," Applied Energy, Elsevier, vol. 237(C), pages 145-154.
    • Handle: RePEc:eee:appene:v:237:y:2019:i:c:p:145-154
    DOI: 10.1016/j.apenergy.2018.12.047
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    References listed on IDEAS

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    3. Radpour, S. & Gemechu, E. & Ahiduzzaman, Md & Kumar, A., 2021. "Developing a framework to assess the long-term adoption of renewable energy technologies in the electric power sector: The effects of carbon price and economic incentives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
    4. Pavičević, Matija & Kavvadias, Konstantinos & Pukšec, Tomislav & Quoilin, Sylvain, 2019. "Comparison of different model formulations for modelling future power systems with high shares of renewables – The Dispa-SET Balkans model," Applied Energy, Elsevier, vol. 252(C), pages 1-1.
    5. Cui, Qi & He, Ling & Han, Guoyi & Chen, Hao & Cao, Juanjuan, 2020. "Review on climate and water resource implications of reducing renewable power curtailment in China: A nexus perspective," Applied Energy, Elsevier, vol. 267(C).
    6. Golmohamadi, Hessam & Asadi, Amin, 2020. "A multi-stage stochastic energy management of responsive irrigation pumps in dynamic electricity markets," Applied Energy, Elsevier, vol. 265(C).
    7. Fernando Salinas-Herrera & Ali Moeini & Innocent Kamwa, 2022. "Survey of Simulation Tools to Assess Techno-Economic Benefits of Smart Grid Technology in Integrated T&D Systems," Sustainability, MDPI, vol. 14(13), pages 1-36, July.
    8. Zhao, Yongliang & Liu, Ming & Wang, Chaoyang & Wang, Zhu & Chong, Daotong & Yan, Junjie, 2019. "Exergy analysis of the regulating measures of operational flexibility in supercritical coal-fired power plants during transient processes," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    9. Gao, Wei & Liu, Ming & Yin, Junjie & Zhao, Yongliang & Chen, Weixiong & Yan, Junjie, 2023. "An improved control strategy for a denitrification system using cooperative control of NH3 injection and flue gas temperature for coal-fired power plants," Energy, Elsevier, vol. 282(C).
    10. Lin, Haiyang & Wu, Qiuwei & Chen, Xinyu & Yang, Xi & Guo, Xinyang & Lv, Jiajun & Lu, Tianguang & Song, Shaojie & McElroy, Michael, 2021. "Economic and technological feasibility of using power-to-hydrogen technology under higher wind penetration in China," Renewable Energy, Elsevier, vol. 173(C), pages 569-580.
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    12. Xinyang Guo & Xinyu Chen & Xia Chen & Peter Sherman & Jinyu Wen & Michael McElroy, 2023. "Grid integration feasibility and investment planning of offshore wind power under carbon-neutral transition in China," Nature Communications, Nature, vol. 14(1), pages 1-12, December.

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