Cloud-side coordinated intelligent power grid monitoring system and resource allocation and scheduling method thereof

Abstract

The invention discloses a cloud-side cooperative intelligent power grid monitoring system and a resource allocation and scheduling method thereof. The system comprises wireless sensor network nodes ofN different types of sensors, a power wireless private network base station, edge equipment with a plurality of neural networks, and a remote cloud system. The system can collect the state of a powergrid and carry out real-time anomaly monitoring based on a deep neural network, and has two data transmission methods: one method is to transmit the data acquired by the sensor to the power wirelessprivate network base station through an LTE-A wireless communication interface, and then to transmit the data from the power wireless private network base station to the cloud through the Internet forcloud processing; the other method is to transmit data acquired by the sensor to the edge equipment through a WIFI wireless communication interface, and to select different neural networks for monitoring processing. Under the condition of meeting the requirement of data transmission time delay, wireless communication resources and computing resources of edge equipment are optimally allocated, sothe throughput of the system is maximized.

Description

technical field [0001] The invention relates to the fields of smart grid monitoring and resource allocation and scheduling, in particular to a cloud-edge collaborative smart grid monitoring system and a resource allocation and scheduling method, which are suitable for real-time abnormal monitoring of data in substations. Background technique [0002] The smart grid is the intelligence of the power grid. It is based on an integrated, high-speed two-way communication network, through the application of advanced sensing and measurement technology, advanced equipment technology, advanced control method and advanced decision support system technology. , to achieve the goals of reliability, safety, economy, efficiency, environmental friendliness and safe use of the power grid. With the continuous development of the power industry, the grid is becoming more and more complex, which makes the detection of grid faults more difficult. Power grid fault diagnosis is to identify the caus...

AI Technical Summary

Problems solved by technology

However, this system uses a lot of communication modules of different standards, which makes the system communication more complicated, and has higher requirements on the quality of the communication modules, which increases the input cost and cannot guarantee the maximum utilization of resources.

Images