| Issue |
E3S Web Conf.
Volume 233, 2021
2020 2nd International Academic Exchange Conference on Science and Technology Innovation (IAECST 2020)
|
|
|---|---|---|
| Article Number | 01115 | |
| Number of page(s) | 4 | |
| Section | NESEE2020-New Energy Science and Environmental Engineering | |
| DOI | https://doi.org/10.1051/e3sconf/202123301115 | |
| Published online | 27 January 2021 | |
Coordinated Development Based Grid-Source-load Collaborative Planning Method of Uncertainty and Multi-agent Game
1 State Grid HBEPC Economic & Technology Research Institute, Wuhan 430077, China
2 State Grid Laboratory for Hydro-thermal Power Resources Optimal Allocation & Simulation Technology, Wuhan 430077, China
* Corresponding author: spadegadget@alumini.hust.edu.cn
When planning the power grid, it is necessary to obtain the optimal decision scheme according to the market behavior of different stakeholders. In this paper, the virtual game player "nature" is introduced to realize the deep integration of game theory and robust optimization, and a source network load collaborative planning method considering uncertainty and multi-agent game is proposed. Firstly, the planning decision-making models of different stakeholders of DG investment operators, power grid investment operators and power users are constructed respectively; then, the static game behavior between distributed generation (DG) investment operators and power grid investment operators is analyzed according to the transmission relationship of the three; at the same time, robust optimization is used to deal with DG. In this paper, we introduce the virtual game player "nature" to study the dynamic game behavior between the virtual game player and the power grid investment operator. On this basis, the dynamic static joint game planning model is proposed.
© The Authors, published by EDP Sciences 2021
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