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J.L. Martinez Ramos

Researcher at University of Seville

Publications -  8
Citations -  992

J.L. Martinez Ramos is an academic researcher from University of Seville. The author has contributed to research in topics: Control variable & Energy management. The author has an hindex of 5, co-authored 8 publications receiving 895 citations.

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Frequency Regulation Contribution Through Variable-Speed Wind Energy Conversion Systems

TL;DR: In this article, a new method to enhance the participation of variable-speed wind energy conversion systems (WECS) in existing frequency regulation mechanisms is presented. But the proposed approach, based on a modified inertial control scheme, takes advantage of the fast response capability associated with electronically-controlled WECS, allowing the kinetic energy stored by rotational masses to be partly and transiently released in order to provide earlier frequency support.
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State-of-the-art, challenges, and future trends in security constrained optimal power flow

TL;DR: In this paper, the main challenges to the security constrained optimal power flow (SCOPF) computations are discussed, focusing mainly on: approaches to reduce the size of the problem by either efficiently identifying the binding contingencies and including only these contingencies in the SCOPF or by using approximate models for the post-contingency states, and the handling of discrete variables.
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Sensitivity-based reactive power control for voltage profile improvement

TL;DR: In this paper, a procedure for dispatching reactive power when voltage deviations are not acceptable is presented, which is intended for real-time use, determining which control variables are actually effective for solving voltage violations.
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Finding improved local minima of power system optimization problems by interior-point methods

TL;DR: In this article, a simple heuristic technique to deal with multiple local minima in nonconvex, nonlinear power system optimization problems by solving a sequence of interior-point subproblems is presented.
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Distributed contingency analysis: practical issues

TL;DR: Results of running this code on different computers are presented, showing that current technology allows this computationally expensive task to be carried out on line.