Open AccessOptimal placement and sizing of distributed generation‐based wind energy considering optimal self VAR control
Author(s) -
Masaud Tarek Medalel,
Nannapaneni Geethika,
Challoo Rajab
Publication year - 2017
Publication title -
iet renewable power generation
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.005
H-Index - 76
ISSN - 1752-1424
DOI - 10.1049/iet-rpg.2015.0391
Subject(s) - ac power , wind power , distributed generation , sizing , induction generator , control theory (sociology) , computer science , voltage , compensation (psychology) , reliability engineering , doubly fed electric machine , engineering , control engineering , control (management) , renewable energy , electrical engineering , art , artificial intelligence , visual arts , psychology , psychoanalysis
The impact of distributed generation (DG) units on the voltage stability has become a challenging issue especially when squirrel cage induction generator (SCIG)‐based wind DGs are utilised. Optimisation methods are tools which can be used to place and size the DG units in the distribution system, so as to utilise these units optimally within certain constraints. This study aims to optimally size and allocate advanced wind energy based DG technology with innovative reactive power capability, reduced capital cost, and improved energy capture capability to improve voltage stability. Therefore, a new combination of SCIG and doubly‐fed induction generator (DFIG) based DG configuration is proposed. In this configuration, the reactive power absorbed by SCIG is supplied by DFIG, and therefore, the combined system operates at unity power factor, which makes it feasible to comply with the IEEE 1547 standard. A methodology is proposed to optimally size and allocate the DG system with an objective function to improve the voltage profile considering numerous technical and economic constraints. The performance of the proposed DG configuration is compared with DGs that utilise SCIG with a parallel reactive power compensation. IEEE 30‐bus test system is used to demonstrate the effectiveness of the proposed methodology.