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Probabilistic estimation of spinning reserves in smart grids with Bayesian-driven reserve allocation...

Probabilistic estimation of spinning reserves in smart grids with Bayesian-driven reserve allocation...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_primary_10_1108_IJESM_12_2019_0012

Probabilistic estimation of spinning reserves in smart grids with Bayesian-driven reserve allocation adjustment algorithm

About this item

Full title

Probabilistic estimation of spinning reserves in smart grids with Bayesian-driven reserve allocation adjustment algorithm

Publisher

Bradford: Emerald Publishing Limited

Journal title

International journal of energy sector management, 2021-05, Vol.15 (3), p.433-455

Language

English

Formats

Publication information

Publisher

Bradford: Emerald Publishing Limited

More information

Scope and Contents

Contents

Purpose
This study aims to introduce a methodology for optimal allocation of spinning reserves taking into account load, wind and solar generation by application of the univariate and bivariate parametric models, conventional intra and inter-zonal spinning reserve capacity as well as demand response through utilization of capacity outage probabi...

Alternative Titles

Full title

Probabilistic estimation of spinning reserves in smart grids with Bayesian-driven reserve allocation adjustment algorithm

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_crossref_primary_10_1108_IJESM_12_2019_0012

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_primary_10_1108_IJESM_12_2019_0012

Other Identifiers

ISSN

1750-6220

E-ISSN

1750-6239

DOI

10.1108/IJESM-12-2019-0012

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