DSpace Angular :: Browsing CPES - Book Chapters by Title

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Active Management of Electric Vehicles Acting as Distributed Storage

( 2016) Filipe Joel Soares ; Almeida,PMR ; Galus,M ; Pedro Pereira Barbeiro ; João Peças Lopes

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Advanced models and simulation tools to address electric vehicle power system integration (steady-state and dynamic behavior)

( 2013) Filipe Joel Soares ; Almeida,PMR ; João Peças Lopes

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Agent-based System Applied to Smart Distribution Grid Operation

( 2012) Mauro Rosa ; Wagner Franchin ; Diego Issicaba ; João Peças Lopes

Not available.

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Analysis of an incomplete information system using the rough set theory

( 2014) Faustino Agreira,CI ; Travassos Valdez,MM ; Machado Ferreira,CM ; Fernando Maciel Barbosa

In this paper it is applied a Rough Setapproach that takes into account an incomplete information system to study the steady-state security of an electric power system. The Rough Set Theory has been conceived as a tool to conceptualize, organize and analyze various types of data, in particular, to deal with inexact, uncertainor vague knowledge. The knowledge acquisition process is a complex task, since the experts have difficulty to explain how to solve a specified problem. So, an incomplete set of relevant information may arise. The study presents a systematicapproach to transform examples in a reduced set of rules. These rules can be used successfully to avoid security problems and provides a deeper insight into the influence of parameters on the steady-state system performance. © Springer Science+Business Media Dordrecht 2014.

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'Applications to System Planning', Ch. 14 in 'Modern Heuristic Optimization Techniques - Theory and application to Power Systems', Ed. Kwang Y. Lee and Mohamed A. El-Sharkawi, IEEE Press/Wiley, ISBN 978-0471-45711-4, 2008

( 2008) Vladimiro Miranda

Ch. 14 in 'Modern Heuristic Optimization Techniques - Theory and application to Power Systems', Ed. Kwang Y. Lee and Mohamed A. El-Sharkawi, IEEE Press/Wiley, ISBN 978-0471-45711-4, 2008

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Black start and islanding operations of microgrid

( 2019) Carlos Moreira ; Issicaba,D ; Gouveia,J ; André Guimarães Madureira ; Gouveia,C ; Pecas Lopes,JA ; 4442 ; 4560

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Control and Management Architectures

( 2016) Manuel Matos ; Luís Seca ; André Guimarães Madureira ; Filipe Joel Soares ; Ricardo Jorge Bessa ; Jorge Correia Pereira ; Peças Lopes,J

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Coordinating Distributed Energy Resources During Microgrid Emergency Operation

( 2014) Clara Sofia Gouveia ; David Emanuel Rua ; Carlos Moreira ; Peças Lopes,JA

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A Decision Support System to Analyze the Influence of Distributed Generation in Energy Distribution Networks

( 2009) José Nuno Fidalgo ; Dalila Fontes ; Susana Silva

Recent changes in electric network infrastructure and government policies have created opportunities for the employment of distributed generation to achieve a variety of benefits. In this paper we propose a decisions support system to assess some of the technical benefits, namely: 1) voltage profile improvement; 2) power losses reduction; and 3) network capacity investment deferral, brought through branches congestion reduction. The simulation platform incorporates the classical Newton- Raphson algorithm to solve the power flow equations. Simulation results are given for a real Semi-Urban medium voltage network, considering different load scenarios (Summer, Winter, Valley, Peak and In Between Hours), different levels of micro- generation penetration, and different location distributions for the microgeneration units.

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EPSO: Evolutionary Particle Swarms

( 2007) Vladimiro Miranda ; Hrvoje Keko ; Alvaro Duque

This chapter presents EPSO (Evolutionary Particle Swarm Optimization), as an evolutionary meta-heuristic that implements a scheme of self-adaptive recombination, borrowing the movement rule from PSO (Particle Swarm Optimization). Besides the basic model, it discusses a Stochastic Star topology for the communication among particles and presents a variant called differential EPSO or dEPSO. The chapter presents results in a didactic Unit Commitment/Generator Scheduling Power System problem and results of a competition among algorithms in an intelligent agent platform for Energy Re-tail Market simulation where EPSO comes out as the winner algorithm

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Evaluation of an Energy Loss-Minimization Algorithm for EVs based on Induction Motor

( 2012) Rui Esteves Araujo ; Pedro Melo ; Ricardo Castro

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Forecasting and setting power system operating reserves

( 2017) Manuel Matos ; Ricardo Jorge Bessa ; Botterud,A ; Zhou,Z

The system operator is responsible for maintaining a constant balance between generation and load to keep frequency at the nominal value. This fundamental objective is achieved with upward (e.g., synchronized and nonsynchronized generation units) and downward (e.g., demand response, storage) reserve capacity. The system operator needs to define, in advance, the reserve capacity requirements that mitigate the risk of imbalances due to forecast errors and unplanned outages of generation units. The research trend is to apply probabilistic methodologies for setting the reserve requirements based on uncertainty forecasts for renewable generation and load, as well as a probabilistic modeling of units' outages. This chapter describes two probabilistic methods, which share a common modeling framework, for quantifying risk and reserve requirements in two types of electricity markets: (1) sequential markets with the reserves market after the energy market clearing and (2) cooptimization (or joint market clearing) of energy and reserves. Two case studies with real data are presented to illustrate the application of both methodologies.

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FPGA Based Powertrain Control for Electric Vehicles.

( 2011) Rui Esteves Araujo ; Ricardo de Castro ; Diamantino Freitas

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Fundamentals of Evolution Strategies and Evolutionary Programming, Ch. 3 in 'Modern Heuristic Optimization Techniques - Theory and application to Power Systems', Ed. Kwang Y. Lee and Mohamed A. El-Sharkawi, IEEE Press/Wiley, ISBN 978-0471-45711-4, 2008

( 2008) Vladimiro Miranda

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'Hybrid Systems', Ch. 19 in 'Modern Heuristic Optimization Techniques - Theory and application to Power Systems', Ed. Kwang Y. Lee and Mohamed A. El-Sharkawi, IEEE Press/Wiley, ISBN 978-0471-45711-4, 2008

( 2008) Vladimiro Miranda

Ch. 19 in 'Modern Heuristic Optimization Techniques - Theory and application to Power Systems', Ed. Kwang Y. Lee and Mohamed A. El-Sharkawi, IEEE Press/Wiley, ISBN 978-0471-45711-4, 2008

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ICT Solutions to Support EV Deployment