Artificial neural networks and their applications to power systems—a bibliographical survey

Abstract

Artificial neural networks (ANNs), representing computational paradigms based on a biological metaphor, are rapidly gaining popularity among power system researchers. The number of ANN applications to electric power system problems has increased dramatically in the last two years, fired by both theoretical and application successes in a variety of disciplines. The theory and application developments associated with ANNs are largely interdisciplinary. More than 3500 publications are cited in the literature on ANNs and related applications. Because of limitations on space, this paper has a limited but well-defined objective, namely, to focus attention on significant ANN-related publications involving typical power system problems, and provide epitomizing evaluation and critical comment. More specifically, this paper presents a bibliographical survey of the research and explosive development of many ANN-related applications in electric power systems based on a subset of over 60 published articles. A brief overview of the ANN theory, models and applications is presented. Potential areas of application are identified and future trends are discussed.