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Joint environmental and economic power dispatch considering wind power integration: Empirical analysis from Liaoning Province of China

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  • Zhao, Xiaoli
  • Wu, Longli
  • Zhang, Sufang

Abstract

Liaoning province, located in Northeast China – one of China's three most wind-rich areas, possesses abundant wind resources. Along with China's rapid development of wind power in recent years, the issue of how to integrate more wind power to the grid, and how to balance the conflict between pollutant and GHG emission reduction and economic cost increase by dispatch model adjustment becomes a big challenge. Based on the GAMS simulation method, by using the real data of thermal power units, wind power and hydropower generation, and load in Liaoning province, this paper studies a joint environmental and economic power dispatch considering wind power integration at valley load and peak load. The results show that the pumped storage power station played an important role in promoting wind power integration. And the power dispatch across thermal power, wind power and hydropower is more favorable than the power dispatch only across thermal power and wind power in terms of reducing pollutant and GHG emission. It is also proved that a comparatively better environmental improvement can be made at a relatively lower economic loss by a joint environmental and economic dispatch across thermal, wind and hydropower.

Suggested Citation

  • Zhao, Xiaoli & Wu, Longli & Zhang, Sufang, 2013. "Joint environmental and economic power dispatch considering wind power integration: Empirical analysis from Liaoning Province of China," Renewable Energy, Elsevier, vol. 52(C), pages 260-265.
    • Handle: RePEc:eee:renene:v:52:y:2013:i:c:p:260-265
    DOI: 10.1016/j.renene.2012.11.004
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    References listed on IDEAS

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    Cited by:

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    2. Qi, Ye & Dong, Wenjuan & Dong, Changgui & Huang, Caiwei, 2019. "Understanding institutional barriers for wind curtailment in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 105(C), pages 476-486.
    3. Chen, H. & Chyong CK. & Kang, J-N. & Wei Y-M., 2018. "Economic dispatch in the electricity sector in China: potential benefits and challenges ahead," Cambridge Working Papers in Economics 1836, Faculty of Economics, University of Cambridge.
    4. Zhao, Xiaoli & Sun, Chuyu & Zhong, Zewei & Liu, Suwei & Yang, Zili, 2023. "Effect of market structure on renewable energy Development—A simulation study of a regional electricity market in China," Renewable Energy, Elsevier, vol. 215(C).
    5. Jin, Jingliang & Zhou, Dequn & Zhou, Peng & Miao, Zhuang, 2014. "Environmental/economic power dispatch with wind power," Renewable Energy, Elsevier, vol. 71(C), pages 234-242.
    6. Xiong, Weiming & Wang, Yu & Mathiesen, Brian Vad & Zhang, Xiliang, 2016. "Case study of the constraints and potential contributions regarding wind curtailment in Northeast China," Energy, Elsevier, vol. 110(C), pages 55-64.
    7. Yang, Yulong & Wu, Kai & Long, Hongyu & Gao, Jianchao & Yan, Xu & Kato, Takeyoshi & Suzuoki, Yasuo, 2014. "Integrated electricity and heating demand-side management for wind power integration in China," Energy, Elsevier, vol. 78(C), pages 235-246.
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    11. Li Han & Rongchang Zhang & Xuesong Wang & Yu Dong, 2018. "Multi-Time Scale Rolling Economic Dispatch for Wind/Storage Power System Based on Forecast Error Feature Extraction," Energies, MDPI, vol. 11(8), pages 1-27, August.
    12. Wei, Yi-Ming & Chen, Hao & Chyong, Chi Kong & Kang, Jia-Ning & Liao, Hua & Tang, Bao-Jun, 2018. "Economic dispatch savings in the coal-fired power sector: An empirical study of China," Energy Economics, Elsevier, vol. 74(C), pages 330-342.
    13. Dong, Changgui & Qi, Ye & Dong, Wenjuan & Lu, Xi & Liu, Tianle & Qian, Shuai, 2018. "Decomposing driving factors for wind curtailment under economic new normal in China," Applied Energy, Elsevier, vol. 217(C), pages 178-188.

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