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

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.

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Published
2024-10-18
DOI
https://doi.org/10.1109/icpea63589.2024.10784729
Primary Topic
Capital Investment and Risk Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Jie Li, Xiaoxin Zhou, Xiuli Wang
Capital Investment and Risk Analysis
article

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

Jie Li, Xiaoxin Zhou, Xiuli Wang
article en

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.

North China Electric Power University (CN), China Electric Power Research Institute, Xi'an Jiaotong University (CN)
Science and Technology Project of State Grid
Affordable and clean energy
Openalex Percentile: Top 68%
Capital Investment and Risk Analysis
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Strategic Offering of a Wind Power Producer in Energy and Green Certificate Markets: a Stochastic Bilevel Approach — Jie Li, Xiaoxin Zhou, et al. · (2024) | TGRS Research Map | TGRS