Intelligent power grid real-time early warning system

An early warning system and smart grid technology, applied in electrical components, circuit devices, AC network voltage adjustment, etc., can solve problems such as insufficient intelligence, safe emergency handling, etc.

Pending Publication Date: 2022-07-22
HUNAN HONGYE TRANSFORMER
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

In this patented technology, it separates between regular work (normal) operations with high load requirements from overloaded ones. It shows these colors differently based upon their potential upgrade options. Additionally, there may also include protection against excessive use during certain areas where heavy equipment needs restoring function properly. Overall, this technology helps operators better manage power grids efficiently without affecting other parts' performance.

Problems solved by technology

The technical problem addressed in this patent text is the lack of an intelligent power grid load monitoring and early warning system. The existing systems are manual and cannot predict potential risks or provide safe emergency treatment for overloaded grid areas.

Method used

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  • Intelligent power grid real-time early warning system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0049] This embodiment provides a smart grid real-time early warning system, combining with figure 1 , including a monitoring module, a calculation module, a display module and an emergency processing module, the monitoring module is used to collect real-time load data in various places in the power grid, and the calculation module calculates and processes the collected load data to obtain the corresponding early warning level and The processing result is sent to the display module, the display module displays the warning level in a visual manner, and the emergency processing module adjusts the running load according to the warning level;

[0050]The monitoring module includes several current detection units, each current detection unit is used to measure the real-time current of the corresponding load and upload it to the calculation module, and the calculation module converts the current into a rate and calculates the real-time load in each area. Rate η:

[0051]

[0052] A

Embodiment 2

[0082] This embodiment includes all the content of the first embodiment, and provides a real-time early warning system for a smart grid, including a monitoring module, a calculation module, a display module, and an emergency processing module. The monitoring module is used to collect real-time loads in various places in the power grid. Data, the calculation module calculates and processes the collected load data to obtain the corresponding warning level and sends the processing result to the display module, the display module displays the warning level in a visual way, and the emergency processing module is based on the warning level. Adjust the running load;

[0083] The monitoring module includes a plurality of current detection units, each current detection unit has its own number, and the current detection unit is used to measure the current passing through a corresponding load. figure 2 , the current detection unit uploads the measured current value to the calculation modul

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Abstract

The invention provides an intelligent power grid real-time early warning system, which is characterized by comprising a monitoring module, a calculation module, a display module and an emergency processing module, the calculation module carries out calculation processing on the collected load data to obtain a corresponding early warning level and sends a processing result to the display module, the display module displays the early warning level in a visual mode, and the emergency processing module adjusts the running load according to the early warning level; the system can intuitively reflect the operation condition of each region in the power grid, timely process the overloaded region, predict and prompt the region which is not overloaded but possibly overloaded, and facilitate prevention and processing.

Description

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Claims

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Application Information

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Owner HUNAN HONGYE TRANSFORMER
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