Open AccessMulti‐objective approach for distribution network reconfiguration with optimal DG power factor using NSPSO
Author(s) -
Tuladhar Subas Ratna,
Singh Jai Govind,
Ongsakul Weerakorn
Publication year - 2016
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.2015.0587
Subject(s) - control reconfiguration , particle swarm optimization , renewable energy , ac power , computer science , wind power , distributed generation , sorting , electric power system , power factor , reliability engineering , power (physics) , voltage , control theory (sociology) , engineering , mathematical optimization , electrical engineering , embedded system , control (management) , mathematics , algorithm , artificial intelligence , physics , quantum mechanics
In this study, a multi objective method for optimal network reconfiguration as well as reactive power dispatches of distributed generations (DGs) has been proposed to improve the network performances by using non‐dominated sorting particle swarm optimisation. The various network performances in terms of multi objective function include minimisation of system power loss, voltage deviation and energy wastage from solar and wind generation system. The effectiveness of the proposed method has been tested on the IEEE 33‐bus radial distribution system for different combinations of network reconfiguration and reactive power output of DGs or its varying power factor. The obtained results also compared and indicated that better network performances achieved with both network reconfiguration and power factor optimisation over other cases. In addition, this strategy also results in lesser energy wastage from distributed renewable generation over without network reconfiguration option; hence, this approach is also suitable for saving and utilising maximum capacity of available renewable sources.