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Showing papers by "Robert J. Thomas published in 2017"


Journal ArticleDOI
TL;DR: In this paper, a new probabilistic forecasting technique based on a multiparametric programming formulation that partitions the uncertainty parameter space into critical regions from which the conditional probability distribution of the real-time LMP/congestion is obtained is obtained.
Abstract: The short-term forecasting of real-time locational marginal price (LMP) and network congestion is considered from a system operator perspective. A new probabilistic forecasting technique is proposed based on a multiparametric programming formulation that partitions the uncertainty parameter space into critical regions from which the conditional probability distribution of the real-time LMP/congestion is obtained. The proposed method incorporates load/generation forecast, time varying operation constraints, and contingency models. By shifting the computation associated with multiparametric programs offline, the online computational cost is significantly reduced. An online simulation technique by generating critical regions dynamically is also proposed, which results in several orders of magnitude improvement in the computational cost over standard Monte Carlo methods.

70 citations


Posted Content
TL;DR: This paper investigates the problem of generation and load settings in a synthetic power grid modeling of high-voltage transmission network, considering both electrical parameters and topology measures, and develops an approach to generate a statistically correct random set of generation capacities and loadsettings.
Abstract: This paper investigates the problem of generation and load settings in a synthetic power grid modeling of high-voltage transmission network, considering both electrical parameters and topology measures. Our previous study indicated that the relative location of generation and load buses in a realistic grid are not random but correlated. And an entropy based optimization approach has been proposed to determine a set of correlated siting for generation and load buses in a synthetic grid modeling. Using the exponential distribution of individual generation capacity or load settings in a grid, and the non-trivial correlation between the generation capacity or load setting and the nodal degree of a generation or load bus we develop an approach to generate a statistically correct random set of generation capacities and load settings, and then assign them to each generation or load bus in a grid.

9 citations


Proceedings ArticleDOI
04 Jan 2017
TL;DR: The Electric Power Track activities at HICSS began twenty years ago and this is an account of its history, its focus, and its impact over those years.
Abstract: The Electric Power Track activities at HICSS began twenty years ago. This is an account of its history, its focus, and its impact over those years.

1 citations


Journal ArticleDOI
TL;DR: In this article, the authors discuss the events leading up to the creation of the Power Systems Engineering Research Center (PSERC) and the problems associated with convincing people that a group of universities can function as a single center.
Abstract: In This article, We Relate events leading up to the creation of the Power Systems Engineering Research Center (PSERC ) and the problems associated with convincing people that a group of universities can function as a single center. The keys to this achievement are industrial support, university collaboration, and effective management. The article continues with a discussion of how PSERC has evolved over the past 20 years.