Research on deep peaking cost allocation mechanism considering peaking demand subject and thermal power unit

• Published in: Energy reports Vol. 12; pp. 158 - 172
• Main Authors: Zhang, Hong, Jin, Peihua, Pang, Wei, Han, Peitong
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.12.2024
• Subjects: Cost allocation; Equal-kWh following load; Peak-load regulation; Renewable energy generation; Shapley allocation method; Shapley allocation method; Cost allocation; Renewable energy generation; Peak-load regulation; Equal-kWh following load
• ISSN: 2352-4847; 2352-4847
• DOI: 10.1016/j.egyr.2024.06.011

The current peak-shaving auxiliary service cost allocation mechanism balances the revenue and expenditure of the power plant side, the peak-valley difference of the power grid is mainly caused by the peak-valley characteristics of the load and renewable energy. It is not reasonable that not reasonable the peak-shaving cost allocation mechanism does not consider user allocation. Therefore, this paper establishes a peak-shaving cost allocation mechanism that considers the peak-shaving demand subject, this article incorporates renewable energy power plants and loads into the peak-shaving demand subject. Firstly, this paper constructs an alternative scenario without peak-shaving demand through the mean line of load and available energy output and establishes an optimal scheduling model with deep peak-shaving and pumped storage power stations, this article takes the difference of system peak-shaving cost between two scenarios with and without peak-shaving demand as the marginal peak-shaving cost. Then, the Shapley value method in cooperative game is used to establish the peak-shaving cost allocation mechanism considering the main body of peak-shaving demand. In addition, It is used that the equal-kWh following load method constructed the equivalent output curve of renewable energy, following load method improves the existing allocation mechanism by comprehensive similarity. Finally, this paper analyzes and compares three different peaking cost allocation mechanisms. The example analysis shows that the peaking cost allocation mechanism considering peaking demand subjects. The example can reflect the peaking cost caused by different subjects and reduce the peaking pressure of thermal power units. •Proposes a model for including peaking demand subjects in cost sharing.•Develops scenarios for calculating peaking costs via Shapley values.•Enhances fairness in cost allocation with equivalent output curves.•Analyzes the effectiveness of three peaking cost allocation methods.•Validates benefits through comparative simulations.