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Strategic Offering of a Wind Power Producer in Energy and Green Certificate Markets: A Stochastic Bilevel Approach

  • Xi'an Jiaotong University
  • State Grid Corporation of China

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

With the high penetration of renewable energy and the execution of renewable portfolio standards, it becomes urgent to analyze the behavior of a wind power producer (WPP) in energy and green certificate markets. To this end, we propose a strategic offering model for a WPP, aiming to analyze the impact of exercising market power on market clearing results and social welfare. Afterwards, the model is transformed into stochastic mathematical programming with equilibrium constraints (MPEC) and eventually mixed integer linear programming (MILP), which can be solved by off-the-shelf solvers. Finally, case studies are carried out on a small test system, illustrating that the market clearing price might increase compared with the perfect competition situation, and the expected profit of WPP increases at the expense of market efficiency. Besides, we analyse the impact of line congestion on the revenue of WPP.

Original languageEnglish
Title of host publication2024 7th International Conference on Power and Energy Applications, ICPEA 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages705-710
Number of pages6
Edition2024
ISBN (Electronic)9798350356113
DOIs
StatePublished - 2024
Event7th International Conference on Power and Energy Applications, ICPEA 2024 - Taiyuan, China
Duration: 18 Oct 202420 Oct 2024

Conference

Conference7th International Conference on Power and Energy Applications, ICPEA 2024
Country/TerritoryChina
CityTaiyuan
Period18/10/2420/10/24

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • bilevel programming
  • green certificate market
  • offering strategy
  • wind power producer

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