Research on the revenue distribution method of virtual power plant considering the contributions of participants
- DOI
- 10.2991/978-94-6463-415-0_44How to use a DOI?
- Keywords
- power system; virtual power plant; deviation assessment
- Abstract
Virtual power plant can effectively integrate various types of distributed energy resources as a whole to participate in the power market, however, how to reduce the deviation between the day-ahead clearing of the virtual power plant and the real-time power, enhance the consumption rate of distributed energy resources, and improve the stability of the power system still needs to be studied. In this paper, a virtual power plant operation optimisation model is constructed for multiple types of distributed flexibility resources such as source, load and storage. The two-stage optimisation model of virtual power plant operation is constructed with the goal of maximising the revenue of the virtual power plant and the goal of minimising the deviation of the output power of the virtual power plant from the day-ahead to the real-time scheduling. Finally, the proposed model is analysed by examples to verify that the proposed model has good advantages in improving the revenue of virtual power plants and enhancing the consumption of new energy resources.
- Copyright
- © 2024 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 - Ze Zhang AU - Yanbing Jia PY - 2024 DA - 2024/05/14 TI - Research on the revenue distribution method of virtual power plant considering the contributions of participants BT - Proceedings of the 2023 9th International Conference on Advances in Energy Resources and Environment Engineering (ICAESEE 2023) PB - Atlantis Press SP - 414 EP - 420 SN - 2589-4943 UR - https://doi.org/10.2991/978-94-6463-415-0_44 DO - 10.2991/978-94-6463-415-0_44 ID - Zhang2024 ER -