Electricity and Reserve Market Clearing Model with Intermittent Renewable Energy Generation Participation

In recent years, the ever-increasing penetration of intermittent renewable energy generation (IREG) in a power system has posed significant challenges to the secure and economic operation of the system due to the volatility and uncertainty of IREG. In this paper, a renewable energy curtailment penalty factor is designed and a joint clearing model for electricity and reserve markets presented to incentivize renewable energy generators for improving day-ahead forecasting accuracy, reduce the complexity of real-time dispatching and ensure the efficient accommodation of intermittent renewable energy generation. The IEEE 30-bus power system is employed to demonstrate the effectiveness of the proposed model in reducing the wind curtailment bias to $\mathbf{0. 1 1 5 \%}$.

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Published
2025-04-07
DOI
https://doi.org/10.1109/icpies65420.2025.11070040
Primary Topic
Smart Grid Energy Management
Type
article
Field-Weighted Citation Impact
0.00

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article

Electricity and Reserve Market Clearing Model with Intermittent Renewable Energy Generation Participation

Dongqing Zhang, Liang Shao, Dazheng Liu, Y. Li et al.
Smart Grid Energy Management
article

Electricity and Reserve Market Clearing Model with Intermittent Renewable Energy Generation Participation

Dongqing Zhang, Liang Shao, Dazheng Liu, Y. Li, Fushuan Wen, Xiaoru Zhang, Shuang Liang, Gang Lu
article en

Abstract

In recent years, the ever-increasing penetration of intermittent renewable energy generation (IREG) in a power system has posed significant challenges to the secure and economic operation of the system due to the volatility and uncertainty of IREG. In this paper, a renewable energy curtailment penalty factor is designed and a joint clearing model for electricity and reserve markets presented to incentivize renewable energy generators for improving day-ahead forecasting accuracy, reduce the complexity of real-time dispatching and ensure the efficient accommodation of intermittent renewable energy generation. The IEEE 30-bus power system is employed to demonstrate the effectiveness of the proposed model in reducing the wind curtailment bias to $\mathbf{0. 1 1 5 \%}$.

Energy Research Institute (CN), Economic Research Institute (BG), Zhejiang University (CN)
Research and Development
Affordable and clean energy
Openalex Percentile: Top 85%
Smart Grid Energy Management
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Electricity and Reserve Market Clearing Model with Intermittent Renewable Energy Generation Participation — Dongqing Zhang, Liang Shao, et al. · (2025) | TGRS Research Map | TGRS