A Multi factor Modified VPP Benefit Allocation Strategy Based on Shapley Value Method
This article aims to establish a mechanism and strategy for the coordinated operation and benefit distribution of multiple virtual power plants (VPPs) in the face of an open electricity market. Firstly, a single VPP optimization scheduling model is established, followed by the introduction of the concept of a VPP operation platform. A master-slave game optimization model is established between the operation platform and multiple VPPs to achieve coordinated and optimized operation of multiple VPPs. Finally, based on cooperative game relationships, a multi factor modified benefit allocation strategy based on the Shapley value method is established, and the operating costs are reasonably allocated and demonstrated through simulation examples.
Authors
- Zhongkai Yi (ORCID: https://orcid.org/0000-0003-2363-1123)
- Haoyang Wang (ORCID: https://orcid.org/0009-0008-7987-9156)
- Dong Wang (ORCID: https://orcid.org/0000-0001-9454-3126)
- Ya Liu (ORCID: https://orcid.org/0000-0002-7816-684X)
- Yiming Wang (ORCID: https://orcid.org/0000-0002-5588-8241)
- Haixue Kuang (ORCID: https://orcid.org/0000-0001-9136-8414)
- Yanjun Dong
- Liang Qu
Institutions
- Harbin Institute of Technology (CN)
- Harbin Electric Corporation (China) (CN)
Publication Details
- Published
- 2024-09-27
- DOI
- https://doi.org/10.1109/icepg63230.2024.10775355
- Citations
- 1
- Primary Topic
- Electric Power System Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.21
Funders
- Science and Technology Project of State Grid