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Iterative transmission and distribution optimal power flow framework for enhanced utilisation of distributed resources
Author(s) -
Singhal Nikita Ghanshyam,
Hedman Kory W.
Publication year - 2015
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2014.0998
Subject(s) - moment (physics) , flexibility (engineering) , computer science , reliability (semiconductor) , distributed generation , transmission (telecommunications) , electric power system , mathematical optimization , transmission system , representation (politics) , power (physics) , reliability engineering , distributed computing , telecommunications , engineering , economics , mathematics , physics , classical mechanics , quantum mechanics , politics , political science , law , management
This study focuses on developing an integrated transmission and distribution framework that couples the two sub‐systems together with due consideration to conventional demand flexibility. The proposed framework ensures accurate representation of the system resources and the network conditions when modelling the distribution system in the transmission optimal power flow and vice‐versa. It is further used to develop an accurate pricing mechanism (distribution‐based location marginal pricing), which is reflective of the moment‐to‐moment costs of generating and delivering electrical energy, for the distribution system. By accurately modelling the two sub‐systems, the authors can improve the economic efficiency and the system reliability, as the price sensitive resources can be controlled to behave in a way that benefits the power system as a whole.

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