Artificial Intelligence Solutions to Power System Operating Problems

Machine learning and digital twins: monitoring and control for dynamic security in power systems

“…With the wide availability of measurement data and other information in electric power grids, learning models from this data with ML is the logical continuation to classical rule-based knowledge inference in power system management. The promising applications of ML techniques for power system analysis have been investigated in the last decades [1][2][3][4]. These are embedded in so-called decision support, assistant or expert systems, which comprise automatic fault diagnosis, isolation, and evaluation [5], alarm prioritization, fault switching schedules, safety checking, routine switching schedules, automatic switching, and network optimization [6,7].…”

The future role of human operators in highly automated electric power systems

“…Methods for understanding and explaining their predictions are discussed in [95]. The potential applications of ML in power system CRs have been investigated in the last three decades [96,41], but it is only now that these concepts become feasible.…”

Applications of artificial intelligence and expert systems in power engineering

“…In the area of fault diagnosis and control of nuclear power plants, some work have been reported by Nelson (1982), Underwood (1982), Cain (1985) and a survey of the applications of artificial intelligence in the nuclear industry in USA has been given by Uhrig (1987). The possible applications of artificial intelligence to power system operations have been investigated by Schulte et al (1987) and Wollenberg & Sakaguchi (1987). The feasibility of applying expert systems for handling alarms in power system control centres have been studied by Wollenberg (1985), DeMontravel (1986), Hein (1986) and Kaninsono (1986).…”