A knowledge-based system for supervision and control of regional voltage profile and security

This work presents a knowledge-based system for supervision and control of regional voltage profile and security using fuzzy logic. The control strategies are defined by system operators based on their experience and on off-line studies, which are translated into rules of a hierarchical fuzzy inference system (FIS). Two hierarchical levels, namely, task-oriented control level (high level) and set-point control level (low level) compose the control structure. The high-level control is comprised of a continuous FIS that updates high-side voltage set points at power plants, and a discrete FIS that switches capacitor/reactor banks at the transmission network. The low level control is comprised of automatic voltage regulators and joint var controllers at the power plants. It is presented a simulation study in the Rio de Janeiro (Rio) Area, an energy importing region part of the South/Southeastern Brazilian system.