Artificial intelligence power dispatching decision-making system and method based on big data

By designing an artificial intelligence power scheduling decision-making system based on big data, the load data of each branch of the power system is comprehensively analyzed and managed, and the problem of poor load management in the existing technology is solved, and the utilization rate of power generation equipment and power supply equipment and the flatness of the distribution network load curve are improved.

CN119742744AInactive Publication Date: 2025-04-01CHINA SOUTHERN POWER GRID COMPANY
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Patent Information

Application Number
CN202411604877.1
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-11
Publication Date
2025-04-01
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

There is a lack of comprehensive analysis of load data, power data and user power consumption information data in various branches of the power system in the existing power scheduling, and load management cannot be achieved, resulting in low utilization rates of power generation equipment and power supply equipment.

Method used

Design an artificial intelligence power scheduling decision-making system based on big data, including data acquisition, data processing, estimate processing, average estimated power module, power decision module and load analysis module. Through these modules, the data is deduplicated, missing value filling, and outlier value processing are performed, and the estimated total power and load proportion of each branch circuit is calculated, and power decisions and load regulation are performed.

Benefits of technology

The comprehensive analysis and management of load data of each branch of the power system has been realized, the utilization rate of power generation equipment and power supply equipment has been improved, the comprehensive load curve of the distribution network system has been flattened, and the needs of staff are met.

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Abstract

The invention discloses an artificial intelligence power dispatching decision-making system and method based on big data, and the system comprises a data collection module which is used for collecting load data, power data and user power utilization information data of each branch in a power system. According to the method, load data, power data and user electricity consumption information data of each branch in a power system are collected, duplicate removal, missing value filling and abnormal value processing are carried out on the data, the obtained data are correct and have reference values, then the average estimated power of each branch per hour on the day is obtained, and the average estimated power of each branch per hour on the day is calculated. Each branch is scheduled and controlled according to the average estimated power of each branch per hour on that day, real-time load data after decision making is collected, load management is achieved according to the real-time load data and user electricity utilization information data, and then the utilization rate of power generation equipment and power supply equipment is brought into full play. And the comprehensive load curve of the power distribution network system is flatter, and the requirements of workers are met.
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