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Low-Carbon Based Multi-Objective Bi-Level Power Dispatching under Uncertainty

Author

Listed:
  • Xiaoyang Zhou

    (Institute of Cross-Process Perception and Control, Shaanxi Normal University, Xi’an 710119, China
    International Business School, Shaanxi Normal University, Xi’an 710062, China)

  • Canhui Zhao

    (International Business School, Shaanxi Normal University, Xi’an 710062, China)

  • Jian Chai

    (School of Economics and Management, Xidian University, Xi’an 710071, China)

  • Benjamin Lev

    (LeBow College of Business, Drexel University, Philadelphia, PA 19104, USA)

  • Kin Keung Lai

    (Institute of Cross-Process Perception and Control, Shaanxi Normal University, Xi’an 710119, China
    Department of Management Sciences, City University of Hong Kong, Kowloon, Hong Kong)

Abstract

This research examines a low-carbon power dispatch problem under uncertainty. A hybrid uncertain multi-objective bi-level model with one leader and multiple followers is established to support the decision making of power dispatch and generation. The upper level decision maker is the regional power grid corporation which allocates power quotas to each follower based on the objectives of reasonable returns, a small power surplus and low carbon emissions. The lower level decision makers are the power generation groups which decide on their respective power generation plans and prices to ensure the highest total revenue under consideration of government subsidies, environmental costs and the carbon trading. Random and fuzzy variables are adopted to describe the uncertain factors and chance constrained and expected value programming are used to handle the hybrid uncertain model. The bi-level models are then transformed into solvable single level models using a satisfaction method. Finally, a detailed case study and comparative analyses are presented to test the proposed models and approaches to validate the effectiveness and illustrate the advantages.

Suggested Citation

  • Xiaoyang Zhou & Canhui Zhao & Jian Chai & Benjamin Lev & Kin Keung Lai, 2016. "Low-Carbon Based Multi-Objective Bi-Level Power Dispatching under Uncertainty," Sustainability, MDPI, vol. 8(6), pages 1-23, June.
    • Handle: RePEc:gam:jsusta:v:8:y:2016:i:6:p:533-:d:71487
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    References listed on IDEAS

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    Cited by:

    1. Yixiong Feng & Zhaoxi Hong & Jin Cheng & Likai Jia & Jianrong Tan, 2017. "Low Carbon-Oriented Optimal Reliability Design with Interval Product Failure Analysis and Grey Correlation Analysis," Sustainability, MDPI, vol. 9(3), pages 1-14, March.

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