Open AccessStrategic placement of distribution network operator owned wind turbines by using market‐based optimal power flow
Author(s) -
Mokryani Geev,
Siano Pierluigi
Publication year - 2014
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.2013.0288
Subject(s) - power flow , mathematical optimization , wind power , operator (biology) , dual (grammatical number) , distribution (mathematics) , power (physics) , computer science , reduction (mathematics) , flow network , point (geometry) , topology (electrical circuits) , operations research , electric power system , mathematics , engineering , electrical engineering , chemistry , literature , geometry , repressor , quantum mechanics , art , mathematical analysis , biochemistry , physics , transcription factor , gene
In this study, a new methodology to optimally allocate wind turbines (WTs) in distribution networks is proposed. A market‐based optimal power flow is used to determine the optimal numbers and capacities of WTs in a way that maximises the social welfare. The method is conceived for distribution network operators to strategically allocate WTs in distribution networks. The proposed method by yielding location‐specific WTs capacity settlement both in terms of cost reduction and consumers’ benefits is consistent with distribution network topology and constraints. The method is solved by using step‐controlled primal dual interior point method considering network constraints. The effectiveness of the proposed method is demonstrated with two radial distribution systems including an 84‐bus 11.4 kV and a 69‐bus 11 kV network.