Open AccessApplication of Artificial Intelligence Techniques in Reactive Power/Voltage Control of Power System
Author(s) -
Yimo Luo
Publication year - 2014
Publication title -
electronics science technology application
Language(s) - English
Resource type - Journals
eISSN - 2251-2608
pISSN - 2424-8460
DOI - 10.18686/esta.v1i1.2
Subject(s) - artificial neural network , ac power , computer science , control engineering , electric power system , automation , artificial intelligence , voltage , field (mathematics) , expert system , fuzzy control system , control (management) , feature (linguistics) , fuzzy logic , power (physics) , engineering , mathematics , electrical engineering , mechanical engineering , physics , quantum mechanics , pure mathematics , linguistics , philosophy
As one of the important constituents of power system automation, reactive power/voltage control possesses inherent characteristics of complexity, nonlinearity, inaccuracy and high requirement for control speed, parts of which are hard to be described by the traditional mathematical models or to be realized by routine control methods. The artificial intelligence (AI) techniques have intelligence feature which traditional method does not bear, so special attentions are paid to the application of AI techniques in reactive voltage control and a lot of results in this field are obtained. In this paper the main results and methods of applying the AI techniques, such as Expert System (ES), Artificial Neural Network (ANN), Fuzzy Theory (FT), Genetic Algorithm (GA) and Multi-Agent System (MAS), etc., to reactive voltage control in power systems are summarized, the respective application features of these techniques are analyzed and compared and some problems to be solved are pointed out.