A reliable and economic operation optimization method for hydrogen-containing building energy systems in off-grid mode
CN119472282BActive Publication Date: 2026-08-28NANJING UNIV OF POSTS & TELECOMM
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Patent Information
- Application Number
- CN202411530830.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-10-30
- Publication Date
- 2026-08-28
- Estimated Expiration
- 2044-10-30
AI Technical Summary
Technical Problem
然而，现有基于模型的方法需要知晓明确的室内环境动力学模型，现有基于学习的方法需要与真实环境或准确仿真环境进行大量次数交互，这将导致高昂的训练成本和部署障碍
Benefits of technology
[0110](1)与现有基于模型的方法相比，本发明所提方法无需知晓明确的室内环境动态性模型，通过构建基于物理嵌入式神经网络的室内环境动力学模型，准确捕捉室内热动态性和湿度动态性，并将其部署于所提运行优化算法中，辅助上层模型预测控制获取最优决策，维持舒适的室内环境。
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Abstract
The application discloses a kind of off-grid mode under hydrogen-containing building energy system reliable economic operation optimization method, comprising the following steps: (1) under the premise of maintaining indoor comfortable environment, establish the operation optimization problem of hydrogen-containing building energy system under off-grid mode;(2) propose the building indoor environment dynamics model based on physical embedded neural network;(3) propose the operation optimization method of hydrogen-containing building energy system based on physical embedded neural network auxiliary hierarchical model predictive control to solve the above modeling problem;(4) the operation optimization method of hydrogen-containing building energy system is deployed in actual operation system.Compared with prior art, the method considers the indoor user comfort control under the demand of electricity, heat and cold, which can effectively reduce the system operation cost and improve the system reliability.
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