Next Article in Journal
Bias Mitigation via Synthetic Data Generation: A Review
Previous Article in Journal
Optimization of PID Control Parameters for Belt Conveyor Tension Based on Improved Seeker Optimization Algorithm
Previous Article in Special Issue
Capacity Allocation Method of Pumped-Storage Power Station for Multi-Level Market in New Power System
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
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

1
Inner Mongolia Power Economic and Technological Research Institute, Hohhot 010090, China
2
Inner Mongolia Daqingshan Laboratory Co., Ltd., Hohhot 010090, China
3
Inner Mongolia Power (GROUP) Co., Ltd., Hohhot 010090, China
4
School of Electrical Engineering, Sichuan University, Chengdu 610065, China
*
Author to whom correspondence should be addressed.
Electronics 2024, 13(19), 3908; https://doi.org/10.3390/electronics13193908
Submission received: 31 July 2024 / Revised: 13 September 2024 / Accepted: 14 September 2024 / Published: 2 October 2024

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.
Keywords: self-owned power plants; generation rights trading; price difference settlement; time-of-use electricity pricing self-owned power plants; generation rights trading; price difference settlement; time-of-use electricity pricing

Share and Cite

MDPI and ACS Style

Li, W.; Cheng, X.; Gong, Y.; Qu, K.; Udabala; Liu, J.; Yu, X. 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. Electronics 2024, 13, 3908. https://doi.org/10.3390/electronics13193908

AMA Style

Li W, Cheng X, Gong Y, Qu K, Udabala, Liu J, Yu X. 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. Electronics. 2024; 13(19):3908. https://doi.org/10.3390/electronics13193908

Chicago/Turabian Style

Li, Wei, Xiaolei Cheng, Yuying Gong, Kaibo Qu, Udabala, Jichun Liu, and Xiang Yu. 2024. "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" Electronics 13, no. 19: 3908. https://doi.org/10.3390/electronics13193908

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop