Using Artificial Intelligence Expert Service System to Solve Power Resource Scheduling Problem

Abstract

With the rapid increase of the use of power resources, the problem of power resource scheduling has attracted wide attention. In order to solve the complex power resource scheduling problem, this paper uses the artificial intelligence expert service system. The expert service system simulates the thinking mode of experts, and based on the knowledge and experience of experts, provides solutions for the scheduling problems in power system, such as accident handling, daily arrangement, power system equipment operation, etc. Expert service system includes knowledge base, production rules and control system. The knowledge base is generated by the knowledge and experience of experts, and the inference mechanism is used to select and use the content of the knowledge base to generate the rule set, according to which the control of the system is realized. It is proved that the expert service system is feasible in power resource scheduling. The expert service system improves the efficiency of power resource scheduling and reduces the workload of scheduling personnel. With the deepening of artificial intelligence research, various intelligent expert systems will appear in various fields of power system.