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Publications

2012

Descoberta da topologia do sistema na ausência de sinais com redes neurais autoassociativas

Authors
Jakov Krstulovic; Vladimiro Miranda; Hrvoje Keko; Jorge Correia Pereira

Publication
Proceedings of SBSE 2012 - IV Simpósio Brasileiro de Sistemas Elétricos, Goiás, Brasil

Abstract
Este artigo apresenta uma nova solução para a estimação do estado de aberto ou fechado de interruptores numa rede de transmissão ou distribuição, quando a informação está ausente do SCADA por falha ou erro de transmissão. A solução é estimada recorrendo-se a redes neurais autoassociativas. A demonstração é feita comparando o comportamento de uma rede global com uma rede local, demonstrando-se que é suficiente informação local para se obterem resultados corretos, mesmo na ausência de um número importante de sinais no SCADA em subestações com topologia complexa.

2012

Reconstructing missing data in State Estimation with autoencoders

Authors
Vladimiro Miranda; Jakov Krstulovic; Hrvoje Keko; Cristiano Moreira; Jorge Pereira

Publication
IEEE PWRS - IEEE Transactions on Power Systems, vol.27, no.2, pp.604-611

Abstract
This paper presents the proof of concept for a new solution to the problem of recomposing missing information at the SCADA of EMS/DMS (Energy/Distribution Management Systems), through the use of off-line trained autoencoders. These are neural networks with a special architecture, which allows them to store knowledge about a system in a non-linear manifold characterized by their weights. Suitable algorithms may then recompose missing inputs (measurements). The paper shows that, trained with adequate information, autoencoders perform well in recomposing missing voltage and power values, and focuses on the particularly important application of inferring the topology of the network when information about switch status is absent. Examples with the IEEE RTS 24 bus network are presented to illustrate the concept and technique.

2012

Wind Power Trading under Uncertainty in LMP Markets

Authors
Audun Botterud; Jianhui Wang; Zhi Zhou; Ricardo Jorge Bessa; Hrvoje Keko; Jean Sumaili; Vladimiro Miranda

Publication
IEEE PWRS - IEEE Transactions on Power Systems, vol.27, no.2, pp.894-903

Abstract
This paper presents a new model for optimal trading of wind power in day-ahead (DA) electricity markets under uncertainty in wind power and prices. The model considers settlement mechanisms in markets with locational marginal prices (LMPs), where wind power is not necessarily penalized from deviations between DA schedule and real-time (RT) dispatch. We use kernel density estimation to produce a probabilistic wind power forecast, whereas uncertainties in DA and RT prices are assumed to be Gaussian. Utility theory and conditional value at risk (CVAR) are used to represent the risk preferences of the wind power producers. The model is tested on real-world data from a large-scale wind farm in the United States. Optimal DA bids are derived under different assumptions for risk preferences and deviation penalty schemes. The results show that in the absence of a deviation penalty, the optimal bidding strategy is largely driven by price expectations. A deviation penalty brings the bid closer to

2011

Wind Power Forecasting, Unit Commitment, and Electricity Market Operations

Authors
Audun Botterud; Jianhui Wang; Ricardo Jorge Bessa; Hrvoje Keko; Jean Sumaili; Vladimiro Miranda

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

Abstract
In this paper we discuss the use of wind power forecasting in electricity market operations. In particular, we demonstrate how probabilistic forecasts can contribute to address the uncertainty and variability in wind power. We focus on efficient use of forecasts in the unit commitment problem and discuss potential implications for electricity market operations.

2011

Unit Commitment and Operating Reserves with Probabilistic Wind Power Forecasts

Authors
Audun Botterud; Jianhui Wang; Jorge Valenzuela; Ricardo Jorge Bessa; Hrvoje Keko; Jean Sumaili; Vladimiro Miranda

Publication
PowerTech2011 - IEEE PowerTech 2011, Trondheim, Norway

Abstract