M
Marcelo A. Elizondo
Researcher at Pacific Northwest National Laboratory
Publications - 80
Citations - 2008
Marcelo A. Elizondo is an academic researcher from Pacific Northwest National Laboratory. The author has contributed to research in topics: Electric power system & Demand response. The author has an hindex of 20, co-authored 65 publications receiving 1486 citations. Previous affiliations of Marcelo A. Elizondo include Battelle Memorial Institute & University of Buenos Aires.
Papers
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Journal ArticleDOI
Microgrid Stability Definitions, Analysis, and Examples
Mostafa Farrokhabadi,Dimitris T. Lagos,Richard W. Wies,Mario Paolone,Marco Liserre,Lasantha Meegahapola,Mahmoud Kabalan,Amir H. Hajimiragha,Dario Peralta,Marcelo A. Elizondo,Kevin P. Schneider,Claudio A. Canizares,Francis K. Tuffner,Jim Reilly,John W. Simpson-Porco,Ehsan Nasr,Lingling Fan,Patricio Mendoza-Araya,Reinaldo Tonkoski,Ujjwol Tamrakar,Nikos Hatziargyriou +20 more
TL;DR: In this paper, definitions and classification of microgrid stability are presented and discussed, considering pertinent microgrid features such as voltage-frequency dependence, unbalancing, low inertia, and generation intermittency.
Proceedings ArticleDOI
Aggregate model for heterogeneous thermostatically controlled loads with demand response
TL;DR: In this paper, the authors developed an aggregated model for a heterogeneous population of TCLs to accurately capture their collective behavior under demand response, which is validated against simulations of thousands of detailed building models under both steady state and severe dynamic conditions.
Journal ArticleDOI
Evaluating the Feasibility to Use Microgrids as a Resiliency Resource
TL;DR: The feasibility of using microgrids as a resiliency resource, including their possible benefits and the associated technical challenges are evaluated, including a use-case of an operational microgrid.
Proceedings ArticleDOI
Centralized and decentralized control for demand response
Shuai Lu,Nader Samaan,Ruisheng Diao,Marcelo A. Elizondo,Chunlian Jin,Ebony Mayhorn,Yu Zhang,Harold Kirkham +7 more
TL;DR: In this paper, the authors compare the performance of centralized and decentralized control for demand response in terms of delay time and predictability in a distributed smart grid system model with detailed household loads and controls.
ReportDOI
National Assessment of Energy Storage for Grid Balancing and Arbitrage: Phase 1, WECC
Michael Cw Kintner-Meyer,Patrick J. Balducci,Whitney G. Colella,Marcelo A. Elizondo,Chunlian Jin,Tony B. Nguyen,Vilayanur V. Viswanathan,Yu Zhang +7 more
TL;DR: In this article, the role of energy storage in mitigating the impacts of the stochastic variability of wind generation on regional grid operation was examined in a hypothetical 2020 grid scenario in which additional wind generation capacity is built to meet renewable portfolio standard targets in the Western Interconnection.