Dispatching method and system for power grid load
By analyzing the impact curve of the response delay time and peak migration time of e-commerce users, predicting future electricity demand and optimizing the grid load estimate curve, the problem that traditional grid load scheduling solutions are difficult to achieve accurate scheduling, and the accurate scheduling of grid load and accurate matching of power consumption demand is achieved.
CN119005647BActive Publication Date: 2025-03-18LISHUI POWER SUPPLY COMPANY OF STATE GRID ZHEJIANG ELECTRIC POWER
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Patent Information
- Application Number
- CN202411488867.6
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-10-24
- Publication Date
- 2025-03-18
- Estimated Expiration
- 2044-10-24
AI Technical Summary
Technical Problem
Traditional grid load scheduling solutions ignore the asynchronous electricity consumption behavior and dynamic changes in passenger flow of merchants, making it difficult to achieve accurate grid load scheduling.
Method used
By determining the impact curve of the response delay time and peak migration time of each e-commerce user based on historical electricity consumption and passenger flow data, predicting future electricity consumption needs, and optimizing the grid load estimate curve to achieve load scheduling.
Benefits of technology
It realizes accurate scheduling of power grid load, can accurately predict and match power consumption requirements, and improves grid operation efficiency.
✦ Generated by Eureka AI based on patent content.
Abstract
The present disclosure relates to the field of electric power technology, and discloses a dispatching method and system for power grid load. The specific scheme is: using the first influence curve of the passenger flow of each power consumer on the response delay time of the power demand and the second influence curve of the passenger flow on the migration time of the power peak, the power demand of each power consumer in the first time period in the future is predicted, so as to determine the power grid load estimation curve of the first power grid in the first time period in the future; then, based on the regulation requirements of the allowable adjustable load of the first power grid, the power grid load estimation curve of the first power grid in the first time period in the future is optimized to obtain the power load dispatching scheme of the first power grid in the first time period in the future; in the first time period in the future, based on the power load dispatching scheme of the first power grid in the first time period in the future, the load of the first power grid is dispatched.
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