The Generation Rights Trading between Self-Owned Power Plants and New Energy Enterprises under the Conditions of Price Difference and Time-of-Use Pricing Settlement

Currently, the proportion of enterprise self-owned power plants (SPPs) is increasing, with a significant share occupied by small coal-fired units, severely affecting the absorption of new energy and causing substantial pollution. To address this issue, developing generation rights trading between SPPs and new energy enterprises is an effective solution. At present, research on generation rights trading is mainly based on early water and thermal generation rights replacement trading. This approach, to some extent, overlooks changes in electricity market policies. Based on this, a new generation rights trading bidding strategy incorporating price differences and time-of-use pricing settlement is proposed. Firstly, the relationship between price difference settlement and generation rights trading is studied and the win–win model of generation rights trading is improved. Secondly, in the time-of-use pricing settlement mode, the single bidding strategy is optimized with the objective of maximizing the total social benefits in the win–win model. Finally, an example analysis compares different bidding strategies under time-of-use pricing settlement. Even in the most extreme cases, the time-of-use bidding strategy can improve social benefits by 5.61% and reduce wind and solar curtailment by 7.25% compared to the single bid strategy. The results show that the optimized time-of-use bidding strategy significantly improves the efficiency of generation rights trading, greatly helping to promote the absorption of new energy and alleviate wind and solar power curtailment.

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Publication Details

Journal
Electronics
Published
2024-10-02
DOI
https://doi.org/10.3390/electronics13193908
Primary Topic
Regional Development and Environment
Type
article
Field-Weighted Citation Impact
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article

The Generation Rights Trading between Self-Owned Power Plants and New Energy Enterprises under the Conditions of Price Difference and Time-of-Use Pricing Settlement

Yue Xiang, Xiaolei Cheng, Udabala, Kaibo Qu et al.
Electronics
Regional Development and Environment
article

The Generation Rights Trading between Self-Owned Power Plants and New Energy Enterprises under the Conditions of Price Difference and Time-of-Use Pricing Settlement

Yue Xiang, Xiaolei Cheng, Udabala, Kaibo Qu, Wei Li, Yuying Gong, Jichun Liu
article en

Abstract

Currently, the proportion of enterprise self-owned power plants (SPPs) is increasing, with a significant share occupied by small coal-fired units, severely affecting the absorption of new energy and causing substantial pollution. To address this issue, developing generation rights trading between SPPs and new energy enterprises is an effective solution. At present, research on generation rights trading is mainly based on early water and thermal generation rights replacement trading. This approach, to some extent, overlooks changes in electricity market policies. Based on this, a new generation rights trading bidding strategy incorporating price differences and time-of-use pricing settlement is proposed. Firstly, the relationship between price difference settlement and generation rights trading is studied and the win–win model of generation rights trading is improved. Secondly, in the time-of-use pricing settlement mode, the single bidding strategy is optimized with the objective of maximizing the total social benefits in the win–win model. Finally, an example analysis compares different bidding strategies under time-of-use pricing settlement. Even in the most extreme cases, the time-of-use bidding strategy can improve social benefits by 5.61% and reduce wind and solar curtailment by 7.25% compared to the single bid strategy. The results show that the optimized time-of-use bidding strategy significantly improves the efficiency of generation rights trading, greatly helping to promote the absorption of new energy and alleviate wind and solar power curtailment.

ElectronicsVol. 13(19)
Sichuan University (CN), Inner Mongolia Electric Power (China) (CN), Inner Mongolia Electric Power Survey & Design Institute (China) (CN)
Openalex Percentile: Top 73%
Regional Development and Environment
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