An energy consumption monitoring, analyzing and operation and maintenance platform for typical indoor substation in cold region

By analyzing energy consumption and environmental data from substations in cold regions, energy consumption trend prediction and fault prediction information are generated, solving the problem that traditional technologies cannot respond to extreme climate changes in a timely manner, and achieving stable operation of the power system and extended equipment life.

CN118469136BActive Publication Date: 2026-04-21INST OF ECONOMIC & TECH STATE GRID HEBEI ELECTRIC POWER +2
1 Cites 0 Cited by

Patent Information

Application Number
CN202410597083.0
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-05-14
Publication Date
2026-04-21
Estimated Expiration
2044-05-14

AI Technical Summary

Technical Problem

Traditional energy consumption monitoring technologies cannot respond promptly to extreme climate changes in cold regions, leading to equipment overload and failure, increased maintenance costs, and an inability to effectively optimize power grid operation and reduce operational risks.

Method used

By analyzing the relationship between temperature, wind speed and energy consumption, energy consumption trend prediction information is generated, periodic patterns of power consumption are identified, the impact of low temperatures is assessed, failure risks are identified, maintenance plans are adjusted, and equipment lifespan is extended.

Benefits of technology

It improves the accuracy and response speed of energy consumption forecasting, ensures the stable operation of the power system under extreme conditions, reduces faults and unplanned outages, and optimizes grid operation efficiency.

✦ Generated by Eureka AI based on patent content.
Patent Text Reader

Abstract

This invention relates to the field of power grid management technology, specifically to a platform for energy consumption monitoring, analysis, and operation and maintenance of typical indoor substations in cold regions. The platform includes: an energy consumption change analysis module, an energy consumption cycle identification module, a power adaptability analysis module, a low-temperature impact assessment module, a fault risk identification module, and an equipment lifespan management module. This invention improves the accuracy of predicting power consumption trends and the speed of operational response by analyzing environmental data and energy consumption records of typical indoor substations in cold regions. By combining analysis of the relationship between temperature, wind speed, and energy consumption, it accurately predicts energy consumption changes and adjusts the power grid, matching seasonal and weather changes. Combined with real-time environmental data analysis, it improves the accuracy of assessing the impact of low temperatures in winter, optimizes the stability of the power system under extreme conditions, reduces losses caused by faults and unplanned outages, extends equipment lifespan, and improves operational efficiency.
Need to check novelty before this filing date? Find Prior Art