Nuclear power production scheduling optimization method and device
By acquiring real-time data and predicting load characteristics using models, an adaptive production scheduling strategy is generated, which solves the problem of slow response in traditional nuclear power production scheduling and realizes efficient, safe and intelligent production scheduling of nuclear power plants, adapting to the rapid changes in the modern power grid environment.
Patent Information
- Application Number
- CN202510932166.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-07
- Publication Date
- 2025-10-31
AI Technical Summary
Traditional nuclear power plant production scheduling relies on manual experience and periodic data collection, which makes it difficult to cope with rapid fluctuations in electricity demand and complex changes in internal operating conditions of nuclear power plants. This results in slow response and unstable energy supply, and the risks increase, especially in modern grid environments where the proportion of renewable energy is increasing.
By acquiring real-time nuclear power plant operation data, load prediction is performed using a pre-trained load characteristic model, adaptive production scheduling strategies are generated, and production scheduling is adjusted in real time. This includes load information generation, resource assessment, and strategy optimization. Data is screened using Pearson correlation coefficients, and real-time monitoring and adjustments are made to ensure the accuracy of the strategies.
It enables forward-looking and adaptable production scheduling of nuclear power plants, improves operational efficiency and safety, reduces energy waste, lowers operating costs and environmental impact, adapts to the modern power grid environment with the increasing proportion of renewable energy, and ensures the stable operation of the power system.
Smart Images
Figure CN120875340A_ABST