E
Enrique Acha
Researcher at Tampere University of Technology
Publications - 58
Citations - 4296
Enrique Acha is an academic researcher from Tampere University of Technology. The author has contributed to research in topics: Electric power system & Voltage source. The author has an hindex of 29, co-authored 57 publications receiving 4034 citations. Previous affiliations of Enrique Acha include University of Toronto & University of Canterbury.
Papers
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Book
FACTS: Modelling and Simulation in Power Networks
TL;DR: Modelling of Conventional Power Plant and Power Flow including FACTS Controllers and Matlab(R) Computer Program for Optimal Power Flow Solutions using Newton's Method.
Journal ArticleDOI
Modeling and Analysis of Custom Power Systems by PSCAD/EMTDC
Olimpo Anaya-Lara,Enrique Acha +1 more
TL;DR: In this article, the authors present a graphical approach for modeling and analysis of custom power controllers, a new generation of power electronics-based equipment aimed at enhancing the reliability and quality of power flows in lowvoltage, distribution networks.
Book
Power Electronic Control in Electrical Systems
TL;DR: In this article, the authors present an overview of electrical power systems, including the fundamental concepts of transmission system compensation, power flows in compensation and control studies, power semiconductor devices and converter hardware issues, and power electronic equipment.
Journal ArticleDOI
Advanced SVC models for Newton-Raphson load flow and Newton optimal power flow studies
TL;DR: In this article, an advanced load flow model for the static VAr compensator (SVC) is presented, which uses the firing angle as the state variable to provide key information for cases when the load flow solution is used to initialize other power system applications.
Journal ArticleDOI
Unified power flow controller: a critical comparison of Newton-Raphson UPFC algorithms in power flow studies
TL;DR: In this paper, a new and comprehensive load flow model for the unified power flow controller (UPFC) is presented, which is incorporated into an existing FACTS Newton-Raphson load flow algorithm.