Systematic Analysis of Power Dispatching: Using Machine Learning

With the proposal of the concept of carbon neutrality in China, the market will continue to pay more attention to sustainable energy and energy conversion. The management of the power system is a very important part in this field due to the discontinuity of wind energy and solar energy, which is also called power dispatching. It is particularly important in the process of power system conversion and management, so it is very helpful to understand the development and bottleneck of power system to understand the main research content of power dispatching through literature. Based on machine learning and text mining, this paper analyses the related research of power dispatching. The results show that the related papers of power dispatching mainly include safe operation, power dispatching strategy, power dispatching automation, power dispatching technology analysis and so on. This paper also shows the results by a clear visualization method.

The Design of Power Security Defense System Based on Resource Pool Cloud Computing Technology

In order to realize the power system defense security, this article puts forward the idea and method of constructing power dispatching automation systems with a cloud computing architecture and realizes the unified management of distributed resources with server virtualization technology. Real-time online migration of each module of the scheduling system is realized by using the in-memory data transfer technology. The multi-node network heartbeat detection technology is used to realize the complete monitoring of the server cluster. In the form of an independent disk array, the fault node is removed, and the service is restored automatically. The whole disaster reserve of the system is realized by means of remote resource mapping. System analysis results show that compared with traditional architecture, the service interruption probability of the new scheduling automation system is effectively reduced. Fault redundancy capacity in the station is increased from a key module 2 node to multi-node protection of all modules.