Intelligent Evaluation and Decision-making of Power Internet of Things Based on Fuzzy Space Dynamic Game Model
With the transformation of the global energy structure and the rapid development of technology, the smart power system is a new generation of power grid system. The power Internet of Things technology has its unique interconnection capability to become the key to the development of a smart grid. However, there are still many shortcomings in the design of the power Internet of Things. One of the key issues of power distribution in the Internet of Things is the game optimization of power transactions. Its market game scheme directly affects the completion rate and power transaction benefits. Based on the fuzzy space dynamic game model, this paper studies the evaluation and decision-making mechanism of the power Internet of Things. First, the decision analysis method is applied to formulate the logical architecture of the construction planning and design indicators of the power Internet of Things. Second, the fuzzy transformation of the distribution network design index is carried out, including the fuzzy semantic transformation of the decision-making index and the fuzzy dynamic space model. Then, in the process of establishing the intelligent evaluation mechanism, the fuzzy space is processed and the dynamic game balance strategy is implemented respectively. Finally, the simulation results indicate that the proposed fuzzy space dynamic game model is superior to the current mainstream schemes in terms of computational performance, optimal solution accuracy and fitting degree from the evaluation and decision-making mechanism.
Authors
- Linjie Chai
- Zhipeng Jing
- Deguang Zhang
- Shiyao Hu
- Teng Li (ORCID: https://orcid.org/0009-0004-6668-1950)
- Rong Cheng
Institutions
- State Grid Corporation of China (China) (CN)
Publication Details
- Journal
- International Journal of High Speed Electronics and Systems
- Published
- 2025-04-24
- DOI
- https://doi.org/10.1142/s0129156425404711
- Primary Topic
- Regional Development and Environment
- Type
- article
- Field-Weighted Citation Impact
- 0.00