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Catalina Gómez-Quiles - IEEE Xplore Author Profile

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The use of electric vehicle across the world has become one of the most challenging issues for environmental policies. The galloping climate change and the expected running out of fossil fuels turns the use of such non-polluting cars into a priority for most developed countries. However, such a use has led to major concerns to power companies, since they must adapt their generation to a new scenar...Show More
This letter presents a simple methodology to quickly obtain the saddle-node bifurcation points of power systems by first solving a sequence of power flows that ends in the infeasible region and then performing a parabolic adjustment with the results of two infeasible cases. The proposed method exploits the ability of the factored load flow procedure to converge to complex solutions well beyond the...Show More
This paper presents a fast and straightforward algorithm to obtain the maximum loading points of power systems by simply performing bisection searches between feasible and infeasible load flow cases. The proposed method exploits the ability and robustness of the factored load flow solution procedure to converge to complex solutions well beyond the maximum loadability points. Test cases on a divers...Show More
The monitoring of distribution systems relies on a critical set of pseudomeasurements and a varying but low number of redundant measurements. In the light of the different refreshing rates of both types of information, this paper considers a state estimation model structured in two time scales. Possibilities and limitations of the proposed model are discussed, and illustrated on a real distributio...Show More
The monitoring of distribution systems relies on a critical set of pseudomeasurements and a varying but low number of redundant measurements. In the light of the different refreshing rates of both types of information, this paper considers a state estimation model structured in two time scales. Possibilities and limitations of the proposed model are discussed, and illustrated on a real distributio...Show More
This paper exploits the robustness of the recently-introduced factored load flow solution scheme around and beyond the maximum loadability point. First, it is shown that, starting from the customary flat start, the factored frequently converges to complex solutions when the scenario being solved is infeasible in the real domain. Then, complex starting points are proposed significantly improving th...Show More
Summary form only given. This paper generalizes the recently introduced bilinear formulation of the WLS state estimation problem to those cases in which equality constraints must be explicitly considered. This leads to augmented equation systems in which both state variables and Lagrange multipliers get updated throughout the three stages arising in the bilinear approach (two linear filters with a...Show More
Portfolio analysis theory and an econometric wind farm revenue estimation model under limited information are combined for the quantification of the value of the geographic diversity of the wind resource in the profitability of diversified wind farm investments. Investment decisions are driven by a compromise between risk and return. The proposed model draws on actual data to estimate the extent u...Show More
Summary form only given. In the upcoming smart grid environment many more measurements will be available, which can be locally processed by the so-called substation state estimator (SSE). Distribution substations serve energy to a large set of feeders, each one delivering power to a certain number of secondary transformers. In this context, the SSE may have to deal with a huge network model, compr...Show More
This paper extends to the load flow problem the factorized solution methodology recently developed for equality-constrained state estimation. This is done by considering a redundant set of initial conditions in order to transform the undetermined system arising in the first linear stage into an overdetermined one. The second nonlinear stage proceeds exactly like in the state estimation case. Exper...Show More
This paper generalizes the recently introduced bilinear formulation of the weighted least squares (WLS) state estimation problem to those cases in which equality constraints must be explicitly considered. This leads to augmented equation systems in which both state variables and Lagrange multipliers get updated throughout the three stages arising in the bilinear approach (two linear filters with a...Show More
Portfolio analysis theory and an econometric wind farm revenue estimation model under limited information are combined for the quantification of the value of the geographic diversity of the wind resource in the profitability of diversified wind farm investments. Investment decisions are driven by a compromise between risk and return. The proposed model draws on actual data to estimate the extent u...Show More
In the upcoming smart grid environment many more measurements will be available, which can be locally processed by the so-called substation state estimator (SSE). Distribution substations serve energy to a large set of feeders, each one delivering power to a certain number of secondary transformers. In this context, the SSE may have to deal with a huge network model, comprising several hundred or ...Show More
This paper presents a three-stage state estimation methodology based on the sequential solution of two weighted least squares (WLS) linear problems with a nonlinear explicit transformation in between. This requires that appropriate sets of auxiliary variables be introduced so that the resulting measurement models become linear. Simulation results show that the proposed approach yields, in a non-it...Show More
Wind power is usually given priority in electricity markets by assigning a zero price to its expected output during the settlement process. The more wind power is to be incorporated into the market, the less number of conventional units of output will be required to supply the demand, resulting in an expected drop in electricity prices. Lower electricity prices are good in the long-term for all en...Show More
The revenue that wind farms produce is subject to the inherent uncertainty of the wind resource in the short-run and the long-term. This revenue is subject to an additional price-related uncertainty in jurisdictions where the output of the wind farms is paid at the prices cleared at the local electricity market. An econometric model is developed to estimate the risks of using limited information i...Show More
The main objective of this paper is to describe a multilevel framework that facilitates seamless integration of existing state estimators (SEs) that are designed to function at different levels of modeling hierarchy in order to accomplish very large-scale monitoring of interconnected power systems. This has been a major challenge for decades as power systems grew pretty much independently in diffe...Show More
This paper presents a factorized state estimation methodology based on the solution of two successive WLS problems. In the proposed scheme, a minimal set of intermediate variables is first introduced so that the resulting measurement model is linear. Estimates of those variables are then used as pseudo-measurements of a subsequent nonlinear estimator, along with the associated covariance matrix. T...Show More
The process of price formation in an electricity market is an extremely complex one in practice due to different endogenous factors, namely generator gaming, unexpected out-ages and transmission congestion, among others. As a result, the market clearing prices are of stochastic nature, bringing about uncertainty and risk to all participants. In this work, the role of the demand as determining fact...Show More