Relationship between the System’s Flexible Adjustment of Power Supply Ratio and the System’s New Energy Operation and Consumption Capacity Based on Data Analysis

In an energy plan with a high rate of renewable energy acquisition, the comprehensive development of wind and solar energy and flexible power sources such as energy storage will play a key role in this process. The power supply structure in some areas is dominated by coal power, and there is a serious shortage of flexible power supply, which hinders the development of renewable energy. Therefore, this paper proposed a new energy operation and consumption planning method considering the flexible adjustment of the power supply ratio. This paper established a two-layer power planning model with the lowest cost to the whole society and the largest consumption of renewable energy. Then, based on the copula theory, a wind-solar combined consumption probability model is established, and the new energy output curve of the planning year is predicted. Finally, the power supply optimization was solved by the Hooke-Jeeves iterative method. The experimental part took a certain region as the research object, setting the proportion of flexible power supply to 24%. It found out the newly installed capacity of various power supplies, and compared the actual data in the region. The research results have shown that increasing the proportion of flexibly regulated power supply can effectively improve the operation and absorption capacity of new energy, the wind abandonment rate is reduced by 6.21%, and the light abandonment rate is reduced by 5.38%.

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Publication Details

Journal
Journal of Combinatorial Mathematics and Combinatorial Computing
Published
2025-04-15
DOI
https://doi.org/10.61091/jcmcc127a-018
Primary Topic
Engineering Applied Research
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article
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article

Relationship between the System’s Flexible Adjustment of Power Supply Ratio and the System’s New Energy Operation and Consumption Capacity Based on Data Analysis

Tianmeng Yuan, Liang Ning
Journal of Combinatorial Mathematics and Combinatorial Computing
Engineering Applied Research
article

Relationship between the System’s Flexible Adjustment of Power Supply Ratio and the System’s New Energy Operation and Consumption Capacity Based on Data Analysis

Tianmeng Yuan, Liang Ning
article en

Abstract

In an energy plan with a high rate of renewable energy acquisition, the comprehensive development of wind and solar energy and flexible power sources such as energy storage will play a key role in this process. The power supply structure in some areas is dominated by coal power, and there is a serious shortage of flexible power supply, which hinders the development of renewable energy. Therefore, this paper proposed a new energy operation and consumption planning method considering the flexible adjustment of the power supply ratio. This paper established a two-layer power planning model with the lowest cost to the whole society and the largest consumption of renewable energy. Then, based on the copula theory, a wind-solar combined consumption probability model is established, and the new energy output curve of the planning year is predicted. Finally, the power supply optimization was solved by the Hooke-Jeeves iterative method. The experimental part took a certain region as the research object, setting the proportion of flexible power supply to 24%. It found out the newly installed capacity of various power supplies, and compared the actual data in the region. The research results have shown that increasing the proportion of flexibly regulated power supply can effectively improve the operation and absorption capacity of new energy, the wind abandonment rate is reduced by 6.21%, and the light abandonment rate is reduced by 5.38%.

Journal of Combinatorial Mathematics and Combinatorial ComputingVol. 127a
Openalex Percentile: Top 92%
Engineering Applied Research
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Relationship between the System’s Flexible Adjustment of Power Supply Ratio and the System’s New Energy Operation and Consumption Capacity Based on Data Analysis — Tianmeng Yuan, Liang Ning · Journal of Combinatorial Mathematics and Combinatorial Computing (2025) | TGRS Research Map | TGRS