On designing a better operator assistant for emergency control in power systems

Why don´t power system operators use current emergency control algorithms when dealing with emergencies? The algorithms should assist the operator but what they do differs from what a human assistant would do. This paper develops the desirable characteristics of an ideal assistant from the human model, and uses these characteristics to design an emergency control module for a power system operator assistant (OA). The most desirable characteristic of an assistant-understanding and predicting the needs and actions of the operator-leads to the development of an operator-centered system state classification and a generic OA structure. The emergency control module of the OA employs intelligent methods like embedded heuristics, rules and fuzzy logic. The key features of the methodology are: solutions the operator can understand and implement intelligent problem characterization, selection among several heterogenous control action tools (CATs), and computation time constrained by the nature of emergency