Local Load Optimization in Smart Grids with Bayesian Networks

D 2016

Local Load Optimization in Smart Grids with Bayesian Networks

CHREN, Stanislav a Barbora BÜHNOVÁ

Základní údaje

Originální název

Local Load Optimization in Smart Grids with Bayesian Networks

Autoři

CHREN, Stanislav (703 Slovensko, domácí) a Barbora BÜHNOVÁ (203 Česká republika, domácí)

Vydání

Neuveden, The 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2016), od s. 4021-4027, 7 s. 2016

Nakladatel

IEEE

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

10201 Computer sciences, information science, bioinformatics

Stát vydavatele

Spojené státy

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

elektronická verze "online"

Kód RIV

RIV/00216224:14330/16:00090403

Organizační jednotka

Fakulta informatiky

ISBN

978-1-5090-1897-0

DOI

http://dx.doi.org/10.1109/SMC.2016.7844862

UT WoS

000402634703144

EID Scopus

2-s2.0-85015772177

Klíčová slova anglicky

Smart Grids; Smart Meters; Bayesian Networks; Ripple Control; Load Management

Štítky

core_B, firank_A

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 13. 5. 2020 19:35, RNDr. Pavel Šmerk, Ph.D.

Anotace

V originále

One of the main goals of the power distribution utilities is to provide stable supply of the power load. The growing popularity of smart grids, i.e. power grids enhanced with modern ICT, opened new possibilities to make the grid more efficient, secure and reliable. However, by introducing new elements into the infrastructure, such as small-scale photovoltaic power plants, the management of power load is becoming more challenging. In the paper, we address the issue of prevalent load management methods, which often lack sufficient flexibility to match growing complexity of the grid. We have developed a local load management component as an alternative to the still widely used ripple control technology. Our component is capable of individual water heating control by utilising customized TOU tariff schedules. The component uses Bayesian network model to incorporate uncertainties caused by inconsistent or incomplete information collected from smart meters. Our solution was deployed by a major energy distribution company in the Czech Republic in a real smart grid infrastructure consisting of more than 300 consumption points. In the case study, we confirmed viability of our approach as well as pointed out potential challenges remaining to be solved.

Návaznosti

MUNI/A/0765/2013, interní kód MU

Název: Zapojení studentů Fakulty informatiky do mezinárodní vědecké komunity (Akronym: SKOMU)

Investor: Masarykova univerzita, Zapojení studentů Fakulty informatiky do mezinárodní vědecké komunity, DO R. 2020_Kategorie A - Specifický výzkum - Studentské výzkumné projekty

MUNI/A/0997/2016, interní kód MU

Název: Aplikovaný výzkum na FI: vyhledávacích systémy, bezpečnost, vizualizace dat a virtuální realita.

Investor: Masarykova univerzita, Aplikovaný výzkum na FI: vyhledávacích systémy, bezpečnost, vizualizace dat a virtuální realita., DO R. 2020_Kategorie A - Specifický výzkum - Studentské výzkumné projekty

Citovat

CHREN, Stanislav a Barbora BÜHNOVÁ. Local Load Optimization in Smart Grids with Bayesian Networks. Online. In The 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2016). Neuveden: IEEE, 2016, s. 4021-4027. ISBN 978-1-5090-1897-0. Dostupné z: https://dx.doi.org/10.1109/SMC.2016.7844862.

@inproceedings{1350023,
   author = {Chren, Stanislav and Bühnová, Barbora},
   address = {Neuveden},
   booktitle = {The 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2016)},
   doi = {http://dx.doi.org/10.1109/SMC.2016.7844862},
   keywords = {Smart Grids; Smart Meters; Bayesian Networks; Ripple Control; Load Management},
   howpublished = {elektronická verze "online"},
   language = {eng},
   location = {Neuveden},
   isbn = {978-1-5090-1897-0},
   pages = {4021-4027},
   publisher = {IEEE},
   title = {Local Load Optimization in Smart Grids with Bayesian Networks},
   year = {2016}
}

TY  - CONF
ID  - 1350023
AU  - Chren, Stanislav - Bühnová, Barbora
PY  - 2016
TI  - Local Load Optimization in Smart Grids with Bayesian Networks
PB  - IEEE
CY  - Neuveden
SN  - 9781509018970
KW  - Smart Grids
KW  - Smart Meters
KW  - Bayesian Networks
KW  - Ripple Control
KW  - Load Management
N2  - One of the main goals of the power distribution utilities is to provide stable supply of the power load. The growing popularity of smart grids, i.e. power grids enhanced with modern ICT, opened new possibilities to make the grid more efficient, secure and reliable. However, by introducing new elements into the infrastructure, such as small-scale photovoltaic power plants, the management of power load is becoming more challenging. In the paper, we address the issue of prevalent load management methods, which often lack sufficient flexibility to match growing complexity of the grid. We have developed a local load management component as an alternative to the still widely used ripple control technology. Our component is capable of individual water heating control by utilising customized TOU tariff schedules. The component uses Bayesian network model to incorporate uncertainties caused by inconsistent or incomplete information collected from smart meters. Our solution was deployed by a major energy distribution company in the Czech Republic in a real smart grid infrastructure consisting of more than 300 consumption points. In the case study, we confirmed viability of our approach as well as pointed out potential challenges remaining to be solved.
ER  -

CHREN, Stanislav a Barbora BÜHNOVÁ. Local Load Optimization in Smart Grids with Bayesian Networks. Online. In \textit{The 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2016)}. Neuveden: IEEE, 2016, s.~4021-4027. ISBN~978-1-5090-1897-0. Dostupné z: https://dx.doi.org/10.1109/SMC.2016.7844862.

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