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A Responsive Pricing Grid Operator Sourcing from Competing Generators under Uncertain Supply and Demand

Author

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  • Jiaping Xie

    (College of Business, Shanghai University of Finance and Economics, Shanghai 200433, China)

  • Lihong Wei

    (College of Business, Shanghai University of Finance and Economics, Shanghai 200433, China)

  • Weisi Zhang

    (Institute of Logistics Science and Engineering, Shanghai Maritime University, Shanghai 201306, China)

  • Yu Xia

    (College of Business, Shanghai University of Finance and Economics, Shanghai 200433, China)

  • Jing Li

    (College of Business, Shanghai University of Finance and Economics, Shanghai 200433, China)

Abstract

Electricity supply chains involve more sources of uncertainty than typical production and manufacturing supply chains, owing to the intermittent nature of renewable energy generation. Therefore, it is critical but challenging to mitigate supply disruption risks by improving management methods. The extant literature has mainly investigated the sourcing strategies of manufacturers with price-taking suppliers. Where there is an option to source from multiple generators, including regular but unreliable generators and reliable backup generators, a flexible sourcing strategy is usually regarded as the best tactic for the grid operator. Our objective is to evaluate the costs and benefits of flexible sourcing and sole sourcing when generators are strategic price-setters. In this paper, we develop a Stackelberg game with wholesale prices contingent on the dominant grid operator’s sourcing strategy. We describe and analyze the resulting equilibriums under different scenarios. The results show that the grid operator does not necessarily benefit from a backup generator and that the flexible sourcing mode is not in fact optimal, except when the disruption ratio of the unreliable generator is medium and the penalty-sharing ratio of the unreliable generator is low. The model is applied to a numerical case study of a real-word electricity supply chain to illustrate the validity and effectiveness of the proposed conclusions.

Suggested Citation

  • Jiaping Xie & Lihong Wei & Weisi Zhang & Yu Xia & Jing Li, 2019. "A Responsive Pricing Grid Operator Sourcing from Competing Generators under Uncertain Supply and Demand," Sustainability, MDPI, vol. 11(15), pages 1-30, July.
  • Handle: RePEc:gam:jsusta:v:11:y:2019:i:15:p:4061-:d:252289
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    References listed on IDEAS

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    1. Yuan Yuan & Feng Cai & Lingling Yang, 2020. "Renewable Energy Investment under Carbon Emission Regulations," Sustainability, MDPI, vol. 12(17), pages 1-15, August.

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