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Rosa E. Correa

Bio: Rosa E. Correa is an academic researcher from National University of Colombia. The author has contributed to research in topics: Electric power system & AC power. The author has an hindex of 5, co-authored 20 publications receiving 108 citations.

Papers
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Proceedings Article
01 Dec 2010
TL;DR: In this paper, a dynamic voltage restorer (DVR) based on a matrix converter without energy storage devices is proposed to cope with voltage fluctuations, which takes energy from the grid during voltage sag/swell by connecting the matrix converter's input terminals on the load side and injecting the compensation voltages on the supply-side.
Abstract: In this paper a Dynamic Voltage Restorer (DVR) based on a matrix converter without energy storage devices is proposed to cope with voltage fluctuations. The ac/ac power converter takes energy from the grid during voltage sag/swell. By connecting the matrix converter's input terminals on the load-side and injecting the compensation voltages on the supply-side, it is possible to hold a constant input voltage, resulting in an efficient solution for compensating deep voltage sags and swells. Thus, the proposed topology has the ability to compensate balanced and unbalanced voltage fluctuations and to eliminate the energy storage elements. The space-vector modulation (SVM) technique is utilized to fulfill the input and output requirements. Numerical simulation results are presented to validate the approach.

30 citations

Journal ArticleDOI
TL;DR: In this article, the authors aimed to tune multi-band power system stabilizers (MB-PSSs), which main purpose is the power oscillation damping enhancement, by the minimization of a quadratic criterion, which is solved by the differential evolution (DE) optimizer.

26 citations

Journal ArticleDOI
TL;DR: A robust dynamic equivalence is proposed to reduce the computational burden and time consuming that the transient stability studies of large power systems represent, based on a multi-objective optimal formulation solved by a genetic algorithm.

20 citations

Proceedings ArticleDOI
18 Nov 2011
TL;DR: The first dynamic voltage restorer (DVR) was introduced in 1994 as a result of collaborative effort between Westinghouse (presently Siemens), EPRI, and Duke Power as discussed by the authors.
Abstract: The first dynamic voltage restorer (DVR) was introduced in 1994 as a result of collaborative effort between Westinghouse (presently Siemens), EPRI, and Duke Power. The dynamic voltage restorer's application has been already demonstrated and is extensively reported, much of the research on DVRs has focused on dc link-based voltage source converters (VSC). These converters have evolved rapidly in the field of industrial AC motor drives. Thus, the importance of the DVR is well recognized. This paper deals with applications related to voltage compensation in order to satisfy the future smart grid's standards.

7 citations

Journal ArticleDOI
TL;DR: A model based on statistical techniques that analyze databases previously built is constructed, that contains voltage profiles for different contingencies and the corresponding calculated value for the Voltage Collapse Proximity Index ( VCPI).

6 citations


Cited by
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Journal ArticleDOI
TL;DR: The design of a conventional power system stabilizer (CPSS) is carried out using the bat algorithm to optimize its gain and pole-zero parameters and the system performance is compared with a particle swarm optimization based CPSS (PSO-C CPSS) controller.

132 citations

01 Feb 2014
TL;DR: This paper summarizes major results of the work of the CIGRE working group on load modeling of new types of load including renewables using measurement data and historical data after two years' activities.

123 citations

Journal ArticleDOI
TL;DR: In this article, the authors provide a comprehensive review on the DVR topologies, control strategies and applications, and some comparative conclusions are also provided for the researchers and engineers, who want to do investigations on DVRs.

123 citations

Journal ArticleDOI
TL;DR: This paper deals with a three-phase hybrid transformer (HT) without dc energy storage to compensate voltage sags and swells and to protect sensitive loads against the rapid and extensive changes in supply voltage amplitude.
Abstract: The parameters of electrical energy such as voltage amplitude are very important, particularly from the viewpoint of the final consumer and sensitive loads connected to the grid. The dynamic states in the power grid-deep voltage sags and swells-might cause faults and defects in sensitive loads. This paper deals with a three-phase hybrid transformer (HT) without dc energy storage to compensate voltage sags and swells and to protect sensitive loads against the rapid and extensive changes in supply voltage amplitude. The analyzed HT contains two main units: the first one is the conventional electromagnetic transformer, realizing an electromagnetic coupling, and the second one is the buck-boost matrix-reactance chopper, realizing an electrical coupling in the HT unit. In the presented solution, output voltage is transformed in two ways-electromagnetically and electrically. This paper presents an operational description, the theoretical analysis, and the experimental test results from a 2-kVA laboratory model. On the basis of the authors' research, it can be stated that the HT makes it possible to compensate deep voltage sags (deeper than 50% of nominal source voltage) and overvoltages (up to 140% of nominal source voltage) while maintaining good dynamic properties. The main advantages of the proposed solution, in comparison to other conventional solutions, are the ability to control the output voltage in the range of 0.66-3.5 US, good dynamics (transient state during source voltage uS amplitude change is shorter than 10 ms), and galvanic separation between source and load (such as in the case of the conventional electromagnetic transformer).

81 citations

Journal ArticleDOI
TL;DR: A novel optimization approach based on GAs is proposed that consists in moving the search space range during the optimization process toward promising areas that may contain the global optimum.

77 citations