Research on Capacity Compensation Mechanism Based on Fixed Investment Cost of Power Generation Enterprises
- DOI
- 10.2991/978-94-6463-124-1_81How to use a DOI?
- Keywords
- capacity compensation; fixed investment cost; power station
- Abstract
With the increase of the proportion of renewable energy and the promotion of spot market, the fixed cost recovery of thermal power enterprises faces greater difficulties and the willingness to invest in power generation decreases, which brings risks to the safe and reliable operation of the power grid and the healthy and orderly development of the market. This paper proposes a capacity compensation method based on the fixed investment cost of power station, which can provide a simple and easy-to-operate compensation scheme for the fixed investment cost recovery of power generation enterprises. Since the revenue already earned by power enterprises is deducted from the capacity compensation cost, it can effectively avoid the problem of over-compensation to power generation enterprises and realize the linkage between capacity compensation revenue and real-time market revenue.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Ran Chen AU - Bingni Chen PY - 2023 DA - 2023/03/29 TI - Research on Capacity Compensation Mechanism Based on Fixed Investment Cost of Power Generation Enterprises BT - Proceedings of the 2022 3rd International Conference on Big Data Economy and Information Management (BDEIM 2022) PB - Atlantis Press SP - 710 EP - 716 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-124-1_81 DO - 10.2991/978-94-6463-124-1_81 ID - Chen2023 ER -