An optimization scheduling method considering participation of chicken house flexible resources in peak load shifting of power distribution network
By constructing a chicken house energy demand model and optimizing algorithms to adjust the power of chicken house electrical equipment, the problem of peak-valley load difference in the power grid caused by electricity consumption in facility agriculture was solved, and peak shaving and valley filling and economic operation of the power grid were achieved.
CN122159243APending Publication Date: 2026-06-05CHINA AGRI UNIV +2
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- CHINA AGRI UNIV
- Filing Date
- 2025-10-30
- Publication Date
- 2026-06-05
AI Technical Summary
Technical Problem
The centralized electricity consumption in facility agriculture leads to excessive peak-valley load differences in rural power distribution networks, affecting power grid load fluctuations and security.
Method used
A model of energy demand in chicken houses is constructed, and the flexible load of chicken houses is integrated. The power of the electrical equipment in chicken houses is adjusted through optimization algorithms to achieve peak shaving and valley filling of the power grid.
Benefits of technology
It effectively reduces the peak-valley difference rate of the power grid, improves the utilization rate and stability of power grid equipment, and optimizes the economic operation of the power grid.
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Smart Images
Figure CN122159243A_ABST
Abstract
The present application provides an optimization scheduling method considering the participation of chicken house flexible resources in power distribution network peak load shifting, and relates to the cross technical field of facility agriculture and power grid optimization scheduling, which comprises the following steps: based on the industry load in the whole cycle, using the heat production equation and mechanism model equation of cage chicken house application scene, a typical cage chicken house daily constant temperature energy demand model is constructed; based on the constructed typical cage chicken house daily constant temperature energy demand model, the cage chicken house load is classified, and the classified load is superimposed to construct a load flexibility potential model; based on the constructed load flexibility potential model and the power grid peak load shifting model of adjustable load, by setting the objective function and constraint condition, and using the model optimization algorithm, the optimization scheduling scheme of power distribution network peak load shifting is obtained. The power grid peak load shifting model based on adjustable load constructed by the present application smooths the load curve of power grid, and realizes the economic operation of power grid.
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