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Publications

Publications by Jorge Correia Pereira

2017

LV state estimation and TSO–DSO cooperation tools: results of the French field tests in the evolvDSO project

Authors
Viania Sebastian, M; Caujolle, M; Goncer Maraver, B; Pereira, J; Sumaili, J; Barbeiro, P; Silva, J; Bessa, R;

Publication
CIRED - Open Access Proceedings Journal

Abstract

2017

ADMS4LV – advanced distribution management system for active management of LV grids

Authors
Campos, F; Marques, L; Silva, N; Melo, F; Seca, L; Gouveia, C; Madureira, A; Pereira, J;

Publication
CIRED - Open Access Proceedings Journal

Abstract

2014

State Estimation in Distribution Smart Grids Using Autoencoders

Authors
Pereira Barbeiro, PNP; Krstulovic, J; Teixeira, H; Pereira, J; Soares, FJ; Iria, JP;

Publication
2014 IEEE 8TH INTERNATIONAL POWER ENGINEERING AND OPTIMIZATION CONFERENCE (PEOCO)

Abstract
This work proposes an innovative method based on autoencoders to perform state estimation in distribution grids, which has as main advantage the fact of being independent of the network parameters and topology. The method was tested in a real low voltage grid (incorporating smart grid features), under different scenarios of smart meter deployment. Simulations were performed in order to understand the necessary requirements for an accurate distribution grid state estimator and to evaluate the performance of a state estimator based on autoencoders.

2013

Towards an Auto-Associative Topology State Estimator

Authors
Krstulovic, J; Miranda, V; Simoes Costa, AJAS; Pereira, J;

Publication
IEEE TRANSACTIONS ON POWER SYSTEMS

Abstract
This paper presents a model for breaker status identification and power system topology estimation based on a mosaic of local auto-associative neural networks. The approach extracts information from values of the analog electric variables and allows the recovery of missing sensor signals or the correction of erroneous data about breaker status. The results are confirmed by extensive tests conducted on an IEEE benchmark network.

2014

Most Relevant Measurements for State Estimation According to Information Theoretic Criteria

Authors
Augusto, AA; Pereira, J; Miranda, V; Stacchini de Souza, JCS; Do Coutto Filho, MB;

Publication
2014 INTERNATIONAL CONFERENCE ON PROBABILISTIC METHODS APPLIED TO POWER SYSTEMS (PMAPS)

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.

2016

Pseudo-Measurements Generation Using Energy Values from Smart Metering Devices

Authors
Alves, J; Pereira, J;

Publication
CIRED Workshop 2016

Abstract

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