DSpace Angular :: Browsing CPES - Other Publications by Title

Item

Active / Reactive Dispatch in Competitive Environment

( 2005) João Tomé Saraiva ; Mário Rui Gomes

Item

Algumas Reflexões Sobre o Planeamento e a Exploração de Sistemas Eléctricos de Energia em Ambiente Desregulamentado

( 1996) João Tomé Saraiva

Item

Alocação de Cargas com Incerteza para Planeamento da Exploração

( 1999) Teresa Ponce Leão

Item

Analysis of Micro Generation Impacts in Distribution Networks

( 2005) José Nuno Fidalgo ; Susana Silva ; João Peças Lopes

Item

ANN Design for Fast Security Evaluation of Interconnected Systems with Large Wind Power Production

( 2006) João Peças Lopes ; Helena Vasconcelos

Item

APLICAÇÃO DE REDES NEURONAIS EM MONITORIZAÇÃO E CONTROLO PREVENTIVO DA SEGURANÇA DINÂMICA EM SISTEMAS DE ENERGIA COM PRODUÇÃO EÓLICA

( 1996) José Nuno Fidalgo ; Vladimiro Miranda ; João Peças Lopes

Item

Aplicação de Técnicas Híbridas de Aprendizagem Automatica para Avaliação Rápida de Segurança Dinâmica de Redes Isoladas com Produção Eólica

( 1999) Helena Vasconcelos

Item

Application of Monte Carlo Simulation to Generating System Well-Being Analysis Considering Renewable Sources

( 2004) Armando M. Leite da Silva ; Vladimiro Miranda ; Manuel Matos ; João Peças Lopes

Item

Application of probabilistic wind power forecasting in electricity markets

( 2013) Zhou,Z ; Botterud,A ; Wang,J ; Ricardo Jorge Bessa ; Keko,H ; Jean Sumaili ; Vladimiro Miranda

This paper discusses the potential use of probabilistic wind power forecasting in electricity markets, with focus on the scheduling and dispatch decisions of the system operator. We apply probabilistic kernel density forecasting with a quantile-copula estimator to forecast the probability density function, from which forecasting quantiles and scenarios with temporal dependency of errors are derived. We show how the probabilistic forecasts can be used to schedule energy and operating reserves to accommodate the wind power forecast uncertainty. We simulate the operation of a two-settlement electricity market with clearing of day-ahead and real-time markets for energy and operating reserves. At the day-ahead stage, a deterministic point forecast is input to the commitment and dispatch procedure. Then a probabilistic forecast is used to adjust the commitment status of fast-starting units closer to real time, on the basis of either dynamic operating reserves or stochastic unit commitment. Finally, the real-time dispatch is based on the realized availability of wind power. To evaluate the model in a large-scale real-world setting, we take the power system in Illinois as a test case and compare different scheduling strategies. The results show better performance for dynamic compared with fixed operating reserve requirements. Furthermore, although there are differences in the detailed dispatch results, dynamic operating reserves and stochastic unit commitment give similar results in terms of cost. Overall, we find that probabilistic forecasts can contribute to improve the performance of the power system, both in terms of cost and reliability. Copyright (c) 2012 John Wiley & Sons, Ltd.

Item

Applications Of Geographical Information Systems For The Optimal Locations Of Wind Electric Energy Generator

( 2001) Ignácio Ramirez-Rosado ; Cláudio Monteiro