Research on Microgrid Bilevel Optimization Scheduling Considering the Uncertainty of Renewable Energy and Carbon Emissions in the New Power System

The power system has accelerated its transformation recently, and renewable energy development has gained significant momentum. However, due to the randomness of wind and solar power output and the lack of regulatory capacity of the power system, the issue of wind and solar curtailment has become increasingly severe. This paper focuses on the bilevel economic dispatch of micro grids, considering the uncertainty of renewable energy and carbon emissions. The upper-level optimization model emphasizes the management of the demand side, regulating the load curve through peak shaving and valley filling strategies as well as optimal pricing. The lower-level optimization model focuses on the management of the generation side, aiming to minimize overall operating costs by optimally allocating the output of each generation unit. This study solves the bilevel model using CPLEX software and an improved particle swarm optimization algorithm. Case analysis demonstrates that the model reduces system carbon emissions, promotes wind and solar energy utilization, and provides theoretical support and practical guidance for the economic operation of microgrids.

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Publication Details

Published
2024-10-25
DOI
https://doi.org/10.1109/appeec61255.2024.10922417
Primary Topic
Power Systems and Renewable Energy
Type
article
Field-Weighted Citation Impact
0.00

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article

Research on Microgrid Bilevel Optimization Scheduling Considering the Uncertainty of Renewable Energy and Carbon Emissions in the New Power System

Yujie Wang, Shiyu Liu, Siyuan Liu
Power Systems and Renewable Energy
article

Research on Microgrid Bilevel Optimization Scheduling Considering the Uncertainty of Renewable Energy and Carbon Emissions in the New Power System

Yujie Wang, Shiyu Liu, Siyuan Liu
article en

Abstract

The power system has accelerated its transformation recently, and renewable energy development has gained significant momentum. However, due to the randomness of wind and solar power output and the lack of regulatory capacity of the power system, the issue of wind and solar curtailment has become increasingly severe. This paper focuses on the bilevel economic dispatch of micro grids, considering the uncertainty of renewable energy and carbon emissions. The upper-level optimization model emphasizes the management of the demand side, regulating the load curve through peak shaving and valley filling strategies as well as optimal pricing. The lower-level optimization model focuses on the management of the generation side, aiming to minimize overall operating costs by optimally allocating the output of each generation unit. This study solves the bilevel model using CPLEX software and an improved particle swarm optimization algorithm. Case analysis demonstrates that the model reduces system carbon emissions, promotes wind and solar energy utilization, and provides theoretical support and practical guidance for the economic operation of microgrids.

State Grid Corporation of China (China) (CN), Xi'an Jiaotong University (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation
Affordable and clean energy
Openalex Percentile: Top 66%
Power Systems and Renewable Energy
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