Micro-grid energy dispatch optimization and predictive control algorithms; A UC Irvine case study-Reference-Cited by-同舟云学术

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Micro-grid energy dispatch optimization and predictive control algorithms; A UC Irvine case study

Published:2015-02 Issue: Volume:65 Page:179-190
ISSN:0142-0615
Container-title:International Journal of Electrical Power & Energy Systems
language:en
Short-container-title:International Journal of Electrical Power & Energy Systems

Author:

McLarty Dustin,Civit Sabate Carles,Brouwer Jack,Jabbari Faryar

Funder

U.S. Department of Energy

University of California, Irvine

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference28 articles.

1. Grid of the future;Ipakchi;IEEE Power Energy Mag,2009

2. Advances and trends of energy storage technology in microgrid;Tana;Int J Electr Power Energy Syst,2013

3. The research agenda on social acceptance of distributed generation in smart grids: Renewable as common pool resources;Wolsink;Renew Sustain Energy Rev,2012

4. District heating and cooling: Review of technology and potential enhancements;Rezaie;Appl Energy,2012

5. Spatial variation of emissions impacts due to renewable energy siting decisions in the Western U.S. under high-renewable penetration scenarios;Blumsack;Energy Policy,2011

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