Experimental design and models of power system optimization and control

This paper reflects results of research into the use of factorial experimental design for rational constructing sensitivity models as well as functionally oriented models for system optimization and control. The questions of overcoming difficulties of statistical evaluating the results of experiments with models of systems, but not real systems are discussed. The results of the paper are of a universal character and are illustrated by applications to power engineering problems: coordinated voltage and reactive power control in power systems in regulated and deregulated environments, based on fuzzy logic technology with applying diverse types of sensitivity indices, and monocriteria and multicriteria optimization of network configuration in distribution systems with constructing functionally oriented models to evaluate power system reaction.

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