Optimal Dispatch for Receiving-End Power Grid with Offshore Wind Farm Clusters Considering Peaking Compensation and Cost Allocation

After large-scale offshore wind farms clusters are connected to the grid, the generation of thermal units is compressed at the receiving-end of the grid, decreasing the motivation of thermal units participating in peak regulation. This paper proposes an optimal dispatch model for wind-thermal-storage peak regulation considering peaking compensation and cost sharing. To encourage each subject of the receiving-end grid to participate in the peak regulation, the wind-thermal-storage peaking compensation and cost allocation method is proposed. Then, the wind-fire-storage peak regulation dispatch model considering peaking compensation and cost sharing is proposed. The objective function is to maximize the total revenue of the system. The effectiveness of the proposed model is verified by a simulation validation of an actual receiving-end grid.

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Publication Details

Published
2024-10-25
DOI
https://doi.org/10.1109/icsgsc62639.2024.10813918
Primary Topic
Power Systems and Renewable Energy
Type
article
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Optimal Dispatch for Receiving-End Power Grid with Offshore Wind Farm Clusters Considering Peaking Compensation and Cost Allocation

Feng Qian, Xuejun Xiong, Xiaoyan Bian, Changhui Zhu et al.
Power Systems and Renewable Energy
article

Optimal Dispatch for Receiving-End Power Grid with Offshore Wind Farm Clusters Considering Peaking Compensation and Cost Allocation

Feng Qian, Xuejun Xiong, Xiaoyan Bian, Changhui Zhu, Yajun Zhang, Jiawei Zhang, Yufan Zhang, Xingang Yang
article en

Abstract

After large-scale offshore wind farms clusters are connected to the grid, the generation of thermal units is compressed at the receiving-end of the grid, decreasing the motivation of thermal units participating in peak regulation. This paper proposes an optimal dispatch model for wind-thermal-storage peak regulation considering peaking compensation and cost sharing. To encourage each subject of the receiving-end grid to participate in the peak regulation, the wind-thermal-storage peaking compensation and cost allocation method is proposed. Then, the wind-fire-storage peak regulation dispatch model considering peaking compensation and cost sharing is proposed. The objective function is to maximize the total revenue of the system. The effectiveness of the proposed model is verified by a simulation validation of an actual receiving-end grid.

Shanghai University of Electric Power (CN), Shanghai Electric (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 73%
Power Systems and Renewable Energy
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