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Object Oriented Distribution State Estimation

Authors: CASOLINO, Giovanni Mercurio; LOSI, Arturo;

Object Oriented Distribution State Estimation

Abstract

With the growing attention on the distribution activity, the chances grow of implementing distribution automation systems, supported by the Distribution Management Systems (DMS). A software tool central to a DMS is the State Estimation (SE) application, that allows to obtain the best estimate of the current operating condition starting from a set of redundant measurements. The papers presented in literature aim fundamentally at enhancing the computational characteristics of the SE methods. But, with the increasing capabilities of the computing systems, the development of the DMS tools can be approached from the different perspective of flexibility, expansibility, and maintainability. In the paper, a modeling of the distribution systems with computational methods that solve the SE problem is presented, developed with an object–oriented approach. A software tool implemented in an open software CAD environment is illustrated, and numerical results on a test system are presented.

Country
Italy
Keywords

Distribution systems, distribution automation systems, distribution management systems, state estimation, object oriented methods.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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