L
Le-Ren Chang-Chien
Researcher at National Cheng Kung University
Publications - 61
Citations - 1146
Le-Ren Chang-Chien is an academic researcher from National Cheng Kung University. The author has contributed to research in topics: Buck converter & Voltage regulator. The author has an hindex of 15, co-authored 59 publications receiving 1011 citations. Previous affiliations of Le-Ren Chang-Chien include Purdue University.
Papers
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Journal ArticleDOI
An Online Approach to Allocate Operating Reserve for an Isolated Power System
TL;DR: In this article, the authors proposed methodologies to evaluate system's frequency response characteristic (beta) and operating reserve for the isolated power system, with the presented algorithm to estimate system's beta online, a realtime allocation of operating reserve would be feasible to meet the guidelines for either regulation or contingency operation.
Journal ArticleDOI
A Real-Time Contingency Reserve Scheduling for an Isolated Power System
TL;DR: An algorithm to estimate the frequency response characteristic, beta, of an isolated system online, is presented and could be gainfully used for the instant when the update of reserve scheduling is needed.
Proceedings ArticleDOI
Dynamic reserve allocation for system contingency by DFIG wind farms
TL;DR: In this paper, a strategy that incorporates doubly-fed induction generator (DFIG) wind farms to actively provide primary reserve for frequency control is presented, where the wind reserve allocation according to available wind speed is proposed.
Proceedings ArticleDOI
Digitally controlled low cross-regulation single-inductor dual-output (SIDO) buck converter
Bu-Wei Chen,Le-Ren Chang-Chien +1 more
TL;DR: Experimental results show that the suppression of the cross-regulation is comparable to the other state-of-the-art.
Journal ArticleDOI
Field tests and refinements of an ACE model
TL;DR: The authors describes the refinements of an ACE model to improve its accuracy, results of tests conducted on field data of its accuracy and its use in decomposing the 1-min average of ACE of a control area to identify the regulation burden associated to certain widely varying loads.