Carbon Reduction Operation Strategy for Power Systems with Renewable Energy Under the Coordinated Configuration of Traditional and New Energy Generators

This paper establishes an optimization model for carbon reduction operation of power systems with renewable energy under the coordinated configuration of generators with traditional and new energy. Using duality theory and KKT conditions, the robust optimization problem with a “minimum-maximum-minimum” structure is decomposed into two stages for solution. The main problem(M-problem) is to minimize the problem structure and adopt a relaxed form, considering the requirements for carbon emission in energy system and the control expectations for curtailment volume in wind and solar power. The subproblem(S-problem) is a maximum minimum structure, where the objective function and constraints contain nonlinear variables. Using the optimization results in the first stage, the scenarios with the worst operation in energy utilization and carbon emission control are determined, and the newly generated variables and constraints are taken back to the M-problem. An studying example with simulation operation results in three scenarios is carried out to give a proof for the proposed method in theory and application.

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Publication Details

Published
2025-03-21
DOI
https://doi.org/10.1109/eect64505.2025.10966945
Primary Topic
Advanced Power Generation Technologies
Type
article
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article

Carbon Reduction Operation Strategy for Power Systems with Renewable Energy Under the Coordinated Configuration of Traditional and New Energy Generators

Yun Zhao, Weidong Chen, Xiaorui Wu, Ziwen Cai et al.
Advanced Power Generation Technologies
article

Carbon Reduction Operation Strategy for Power Systems with Renewable Energy Under the Coordinated Configuration of Traditional and New Energy Generators

Yun Zhao, Weidong Chen, Xiaorui Wu, Ziwen Cai, Ning Wu, Lu Yuxin
article en

Abstract

This paper establishes an optimization model for carbon reduction operation of power systems with renewable energy under the coordinated configuration of generators with traditional and new energy. Using duality theory and KKT conditions, the robust optimization problem with a “minimum-maximum-minimum” structure is decomposed into two stages for solution. The main problem(M-problem) is to minimize the problem structure and adopt a relaxed form, considering the requirements for carbon emission in energy system and the control expectations for curtailment volume in wind and solar power. The subproblem(S-problem) is a maximum minimum structure, where the objective function and constraints contain nonlinear variables. Using the optimization results in the first stage, the scenarios with the worst operation in energy utilization and carbon emission control are determined, and the newly generated variables and constraints are taken back to the M-problem. An studying example with simulation operation results in three scenarios is carried out to give a proof for the proposed method in theory and application.

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