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Publications

Publications by Armando Leite da Silva

2007

Composite Reliability Assessment Based on Monte Carlo Simulation and Artificial Neural Networks

Authors
Armando M. Leite da Silva; Leónidas Resende; Luiz Antônio Manso; Vladimiro Miranda

Publication
IEEE PWRS - IEEE Transactions on Power Systems, vol.22, no.3, pp.1202-1209

Abstract
This paper presents a new methodology for reliability evaluation of composite generation and transmission systems, based on non-sequential Monte-Carlo simulation and artificial neural network concepts. Artificial neural network (ANN) techniques are used to classify the operating states during the Monte Carlo sampling. A polynomial network, named Group Method Data Handling (GMDH), is used and the states analyzed during the beginning of the simulation process are adequately selected as input data for training and test sets. Based on this procedure, a great number of success states are classified by a simple polynomial function, given by the ANN model, providing significant reductions in the computational cost. Moreover, all types of composite reliability indices (i.e. loss of load probability, frequency, duration and energy/power not supplied) can be assessed not only for the overall system but also for areas and buses. The proposed methodology is applied to the IEEE Reliability Test System (IEEE-RTS), to the IEEE-RTS 96 and to a configuration of the Brazilian South-Southeastern System.

2008

Dealing with intermittent generation in the long-term evaluation of system adequacy and operational reserve requirements in the Iberian Peninsula

Authors
Peças Lopes; Manuel Matos; Pedro Cabral; Marco Ferreira; Nuno Martins; Carlos Artaiz; Fernando Soto; Ruben Lopez; Mauro da Rosa; Ricardo Ferreira; Armando Leite da Silva; Warlley Sales; Leonidas Resende; Luiz Manso

Publication
Proceedings CIGRE 2008 - Conseil International des Grands Réseaux Électriques - Session 2008 , Paris, France

Abstract

2009

Intelligent Agent-based Environment to Coordinate Maintenance Schedule Discussions

Authors
Mauro da Rosa; Armando Leite da Silva; Vladimiro Miranda; Manuel Matos; Gerald Sheblé

Publication
Proceedings of ISAP 2009 - Intelligent Systems Applications in Power Systems 2009, Curitiba, Brazil

Abstract

2011

Long Term Evaluation of Operating Reserve with High Penetration of Renewable Energy Sources

Authors
Armando Leite da Silva; Mauro Rosa; Manuel Matos

Publication
IEEEGM2011 - IEEE Power & Energy Society General Meeting, Detroit, USA

Abstract
Due to the high penetration of renewable energy into the energy matrix of today's power networks, the design of generating systems based only on static reserve assessment does not seem to be enough to guarantee the security of power system operation. From the wind power integration perspective, this energy source imposes additional requirements, mainly due to the inherent unpredictable characteristic of the wind. Besides the uncertainties in load and generating unit availabilities, the operating reserve needs also to deal with the fluctuation characteristic of the wind power. Therefore, more flexibility of the conventional generators (hydro and thermal) is required to provide system support services. This paper discusses a new methodology based on chronological Monte Carlo simulation to evaluate the operating reserve requirements of generating systems with large amounts of renewable energy sources, in particular, wind power.

2008

Well-being analysis for composite generation and transmission systems based on pattern recognition techniques

Authors
Armando Leite da Silva; Leonidas C. de Resende; L . A. da Fonseca Manso; Vladimiro Miranda

Publication
IET GTD - IET Proceedings C on Generation, Transmission and Distribution, vol.2, no.2, pp.202-208

Abstract
A new methodology to evaluate well-being indices for a composite generation and transmission system, based on non-sequential Monte Carlo simulation and pattern recognition techniques, is presented. To classify the success operating states into healthy and marginal, an artificial neural network based on group method data handling techniques is used to capture the patterns of these state classes, during the beginning of the simulation process. The idea is to provide the simulation process with an intelligent memory, based on polynomial parameters, to speed up the evaluation of the operating states. The proposed methodology is applied to the IEEE reliability test system (IEEE-RTS), to the IEEE-RTS-96 and to a configuration of the Brazilian South-Southeastern system.

2004

Alocação Incremental de Perdas: Metodologia e Análise

Authors
João Guilherme C. Costa; Armando M. Leite da Silva

Publication
CBA2004 - XV Congresso Brasileiro de Automática, Gramado, RS, Brasil

Abstract

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