Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/99893
Author(s): André A. Augusto
Jorge Pereira
Vladimiro Miranda
Julio C. S. Stacchini de Souza
Milton B. do Coutto Filho
Title: Most Relevant Measurements for State Estimation According to Information Theoretic Criteria
Issue Date: 2014
Abstract: This work presents a methodology for selecting the most relevant measurements for real-time power system monitoring. A genetic algorithm is employed to find the meter plan, composed of relevant, real-time measurements and pseudo-measurements that present the best compromise between investment costs and state estimation performance. This is achieved by minimizing both the number of real-time measurements in the power network and the degradation of the estimated states. Performance measures based on the Information Theory are investigated. Simulation results illustrate the performance of the proposed method.
Subject: Engenharia do ambiente
Environmental engineering
Scientific areas: Ciências da engenharia e tecnologias::Engenharia do ambiente
Engineering and technology::Environmental engineering
URI: https://hdl.handle.net/10216/99893
Source: 2014 INTERNATIONAL CONFERENCE ON PROBABILISTIC METHODS APPLIED TO POWER SYSTEMS (PMAPS)
Document Type: Artigo em Livro de Atas de Conferência Internacional
Rights: restrictedAccess
Appears in Collections:FEP - Artigo em Livro de Atas de Conferência Internacional
FEUP - Artigo em Livro de Atas de Conferência Internacional

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