Digital pseudo decentralized load frequency control based on knowledge base in multi-area power system

This paper deals with development of a knowledge base system to assist the decision-making of control commands for the decentralized load frequency control (LFC) in multi-area power system. Empirical knowledge is identified to determine the decentralized control law based on modern control theory and the controller designing expertise. Extracted knowledge has been expressed in the form of the production rule. The proposed knowledge base system consists of five basic components; a working memory, a load change estimator, an inference engine, a knowledge base and a data base connected with algorithmic software packages. The decentralized control scheme supported by the knowledge base system was applied to a six-area power system model. It was shown that introduction of such a knowledge base system is capable to materialize a more flexible and robust control system hitherto unavailable from the conventional fixed controller structure.