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Alejandro Garces

Researcher at Technological University of Pereira

Publications -  144
Citations -  2297

Alejandro Garces is an academic researcher from Technological University of Pereira. The author has contributed to research in topics: AC power & Lyapunov function. The author has an hindex of 20, co-authored 133 publications receiving 1656 citations. Previous affiliations of Alejandro Garces include Norwegian University of Science and Technology.

Papers
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A Linear Three-Phase Load Flow for Power Distribution Systems

TL;DR: This letter proposes a linear load flow for three-phase power distribution systems that is very accurate compared to the conventional back-forward sweep algorithm.
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On the Convergence of Newton's Method in Power Flow Studies for DC Microgrids

TL;DR: This paper presents sufficient conditions for the quadratic convergence of the Newton's method in this type of grids with constant power terminals and computational results complement this theoretical analysis.
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A Study of Efficiency in a Reduced Matrix Converter for Offshore Wind Farms

TL;DR: This paper investigates different modulation strategies applied to RMC for offshore wind farms, focused on efficiency improvement of the entire convention system and shows that current source operation with space vector modulation presents minimum losses at nominal wind velocity.
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Uniqueness of the power flow solutions in low voltage direct current grids

TL;DR: In this article, the convergence and uniqueness of the solution can be guaranteed in a low voltage direct current (LVDC) grid under well defined practical considerations, and the result is neither a linearization nor an approximation, but an analysis of the set of non-linear algebraic equations, which is valid for any LVDC grid regardless its size, topology or load condition.
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Economic dispatch of energy storage systems in dc microgrids employing a semidefinite programming model

TL;DR: The proposed mathematical approach contemplates the efficient operation of a dc microgrid over a period of time with variable energy purchase prices, which makes it a practical methodology to apply in real-time operating conditions.