Coordinated Development Based Grid-Source-load Collaborative Planning Method of Uncertainty and Multi-agent Game

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...

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Bibliographic Details
Published in:E3S web of conferences 2021-01, Vol.233, p.1115
Main Authors: Lei, He, Zhou, Si-xuan, Wang, Yin-xiang, Zheng, Yun-fei, Jing, Lin, Fang, Reng-cun, Yang, Dong-jun, Sang, Zi-xia
Format: Article
Language:English
Subjects:
Collaboration
Decision making
Distributed generation
Electric power grids
Game theory
Multiagent systems
Operators
Optimization
Robustness
Uncertainty
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Summary: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.
ISSN:2267-1242
2555-0403
2267-1242
DOI:10.1051/e3sconf/202123301115