Photovoltaic power station power supply scheduling method based on data analysis

By analyzing the power supply data and operation data of the photovoltaic power station, generating scheduling prediction information and power generation status information, and optimizing scheduling strategies, the problem of delay in the power supply scheduling response of the photovoltaic power station is solved, and the normal operation of equipment in the power grid and the improvement of the power consumption rate is achieved.

CN119675145AActive Publication Date: 2025-03-21HUANENG (WEISHAN) NEW ENERGY DEVELOPMENT CO LTD +1
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Patent Information

Application Number
CN202411844999.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-16
Publication Date
2025-03-21
Estimated Expiration
2044-12-16

AI Technical Summary

Technical Problem

There is a delay in scheduling response during power supply scheduling of photovoltaic power stations, which causes the photovoltaic output power to fail to keep up with the load changes in time, and the frequency fluctuations may exceed the allowable range, affecting the normal operation of sensitive equipment in the power grid.

Method used

By obtaining the operation data of each equipment module and the power supply data of the photovoltaic power station, data analysis is carried out to generate scheduling prediction information and power generation status information, comprehensively analyze the initial scheduling strategy, and optimize the scheduling strategy based on the response action information to realize power supply scheduling.

Benefits of technology

It realizes timely response to power scheduling of photovoltaic power stations, reduces frequency fluctuations, ensures the normal operation of equipment in the power grid, and improves the power consumption rate.

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Abstract

The invention relates to the technical field of power supply scheduling, in particular to a photovoltaic power station power supply scheduling method based on data analysis. The power supply data of the power station is acquired and analyzed to obtain the scheduling prediction information, the power generation related data is analyzed to obtain the power generation state information, and then the scheduling prediction information and the power generation state information are comprehensively analyzed to obtain the initial scheduling strategy; power supply scheduling of the photovoltaic power station can be realized according to the initial scheduling strategy, and power supply scheduling is facilitated; according to the method, the scheduling optimization information is obtained by analyzing the response action information, then the initial scheduling strategy is optimized according to the scheduling optimization information to obtain the power supply scheduling instruction, and the response state of each device is monitored, so that power supply scheduling can be conveniently scheduled and adjusted according to the real-time response state; and faults caused by abnormal response are avoided.
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