TY  - SER
AU  - Bancha Rangsakorn
AU  - Weerakorn Ongsakul,
AU  - Marpaung,Charles O.P.
AU  - Singh,Jai Govind
ED  - PEA,
ED  - Asian Institute of Technology Education Cooperation  Project,
ED  - RTG Fellowship,
TI  - Multi-objective distributed generation optimal placement in distribution system using nondominated sorting particle swarm optimization
T2  - Thesis
PY  - 2010///
CY  - Pathum Thani, Thailand
PB  - Asian Institute of Technology
KW  - Distributed generation of electric power
N1  - A thesis submitted in partial fulfillment of the requirements for the  degree of Master of Engineering in  Energy; Thesis (M.Eng.) - Asian Institute of Technology, 2010
N2  - This  thesis  proposes  the  non-dominated  sorting  particle  swarm  optimization  (NSPSO)  algorithm  for  multi-objective  optimal  placement  for   distributed  generation  (DG)  in  the  distribution system to minimize the total real power loss and DG investment cost  Four  difference  types  of  DG  are  used  including  DG  supplying  real  power  only,  DG  supplying  reactive  power  only,  DG  supplying  real  power  and  consuming  the  reactive  power, and DG supplying both real and reactive power. The  Pareto  front  based  non-dominated  sorting  particle  swarm  optimization  algorithm  (NSPSO)   is   representing   non-dominated   sorting   solutions   of   two   multi-objective  functions. A fuzzy decision making analysis is used  to obtain the final trade off optimal  solution. The 33 and 69 bus radial test systems are used in the simulation. The NSPSO can obtain  pareto  front  between  real  power  loss  and  investment  cost  for  optimally  placed  multi  distributed generations on four different types of  DG
UR  - http://203.159.5.9/ait-thesis/detail.php?q=B02236
ER  -