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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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    2. Zhao, Xiaoli & Chen, Haoran & Liu, Suwei & Ye, Xiaomei, 2020. "Economic & environmental effects of priority dispatch of renewable energy considering fluctuating power output of coal-fired units," Renewable Energy, Elsevier, vol. 157(C), pages 695-707.
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    10. 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.
    11. 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.
    12. Dubey, Hari Mohan & Pandit, Manjaree & Panigrahi, B.K., 2015. "Hybrid flower pollination algorithm with time-varying fuzzy selection mechanism for wind integrated multi-objective dynamic economic dispatch," Renewable Energy, Elsevier, vol. 83(C), pages 188-202.
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