Process monitoring and optimization for power systems applications

Three distinct computational intelligence paradigms combine to support the task of process monitoring and optimization. These are neural-net computing, evolutionary programming and fuzzy-logic. We describe briefly some of our contributions to these paradigms and outline how they function in process monitoring and optimization. Four different types of monitoring tasks are considered. This type of combined computational intelligence is being applied successfully to optimal process planning in electric power utilities. Examples of these include heat rate improvement and NO_x minimization at some Western Pennsylvania and Western New York State utilities