Abstract
Observability analysis deals with the adequacy of the available measurement configuration for state estimation purposes. This paper considers methods to explore observability and to face unobservable situations. More explicity, first, the problem of unobservable networks is examined; strategies currently used are discussed and a more general method is proposed, to build a complete and reliable database. Second, topological concepts derived from observability are used to enhance the reliability of the bad data analysis under stringent identification conditions. Third, a concrete algorithm for observability analysis is proposed.
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