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Decision-making method of load interaction mode for demand response

Author:
Fang, Chen
,
Liu, Yin
,
Wang, Feng-yu
,
Xie, Ying-xin
,
Wu, Liang
Publisher:
IEEE
Year
: 2014
DOI: 10.1109/PQ.2014.6866796
URI: https://libsearch.um.ac.ir:443/fum/handle/fum/1070336
Keyword(s): energy storage,n genetic algorithms,n photovoltaic power systems,n power grids,n power supply quality,n ESS,n IEEE reliability test system,n PV installation,n electricity grid,n energy storage systems,n fault tolerant renewable energy system,n genetic algorithm,n optimal allocation,n optimal power flow,n photovoltaic systems,n power grid failures,n power shortage,n power surplus,n supply reliability indices,n Generators,n Power generati
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    Decision-making method of load interaction mode for demand response

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contributor authorFang, Chen
contributor authorLiu, Yin
contributor authorWang, Feng-yu
contributor authorXie, Ying-xin
contributor authorWu, Liang
date accessioned2020-03-12T22:04:25Z
date available2020-03-12T22:04:25Z
date issued2014
identifier other6991700.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1070336?locale-attribute=en
formatgeneral
languageEnglish
publisherIEEE
titleDecision-making method of load interaction mode for demand response
typeConference Paper
contenttypeMetadata Only
identifier padid8206396
subject keywordsenergy storage
subject keywordsn genetic algorithms
subject keywordsn photovoltaic power systems
subject keywordsn power grids
subject keywordsn power supply quality
subject keywordsn ESS
subject keywordsn IEEE reliability test system
subject keywordsn PV installation
subject keywordsn electricity grid
subject keywordsn energy storage systems
subject keywordsn fault tolerant renewable energy system
subject keywordsn genetic algorithm
subject keywordsn optimal allocation
subject keywordsn optimal power flow
subject keywordsn photovoltaic systems
subject keywordsn power grid failures
subject keywordsn power shortage
subject keywordsn power surplus
subject keywordsn supply reliability indices
subject keywordsn Generators
subject keywordsn Power generati
identifier doi10.1109/PQ.2014.6866796
journal titlelectricity Distribution (CICED), 2014 China International Conference on
filesize1347368
citations0
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