Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › глава/раздел › научная › Рецензирование
Day-ahead demand management in multi-supplier power grid under transmission constraints. / Popov, I. V.; Krylatov, Alexander Yu. ; Zakharov, Victor V. ; Lezhnina, Elena A. .
Game Theory for Networking Applications. Springer Nature, 2019. стр. 215-221 (EAI/Springer Innovations in Communication and Computing).Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › глава/раздел › научная › Рецензирование
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TY - CHAP
T1 - Day-ahead demand management in multi-supplier power grid under transmission constraints
AU - Popov, I. V.
AU - Krylatov, Alexander Yu.
AU - Zakharov, Victor V.
AU - Lezhnina, Elena A.
PY - 2019/1/1
Y1 - 2019/1/1
N2 - Ever-increasing energy consumption and growing penetration of renewable energy sources stimulate the development of new power grid models and architectures. Since the decentralization of power grids raises the unreliability of power supply, it is crucial to switch to a production-oriented consumption in order to provide the stability of the grid. In this work, we describe a multi-supplier power grid model with day-ahead time span planning. We formulate and study a set of consumer cost minimization problems under flow distribution constraints. Finally, we consider an example illustrating the applicability of this model.
AB - Ever-increasing energy consumption and growing penetration of renewable energy sources stimulate the development of new power grid models and architectures. Since the decentralization of power grids raises the unreliability of power supply, it is crucial to switch to a production-oriented consumption in order to provide the stability of the grid. In this work, we describe a multi-supplier power grid model with day-ahead time span planning. We formulate and study a set of consumer cost minimization problems under flow distribution constraints. Finally, we consider an example illustrating the applicability of this model.
KW - Contraction Profile
KW - Conventional Energy Generation
KW - Power Grid Structure
KW - Transmission Constraints
KW - Transmission Cost
UR - http://www.scopus.com/inward/record.url?scp=85090533842&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-93058-9_16
DO - 10.1007/978-3-319-93058-9_16
M3 - Chapter
AN - SCOPUS:85090533842
SN - 978-3-319-93057-2
T3 - EAI/Springer Innovations in Communication and Computing
SP - 215
EP - 221
BT - Game Theory for Networking Applications
PB - Springer Nature
ER -
ID: 33901805