02195nas|a2200253 a 450000500170000000800410001703500150005810000230007324501210009626000670021730000440028449000270032850001160035550200580047152009970052965000450152670000360157170000470160770000510165471000280170571000840173381000590181785600650187620260818155854.0140128s2013    th uu|m rtt   0|  a1eng d  a.b121260070 aHathaikan Mee-Kham12aA multi-objective approach for optimal placement of DG to enhance power distribution network performance using NSPSO  aPathum Thani, Thailand :bAsian Institute of Technology,c2013  a36 leaves :bill.  +e1 online resource1 aThesis ;vno. ET-13-17  aA thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Energy  aThesis (M.Eng.) - Asian Institute of Technology, 2013  aThe study aims to find the best position and size of multi-type DG in distribution network base  on  three  objective  functions: maximize the  increasable  of load  (loading  factor), minimize the system real power loss and minimize the investment cost per year. IEEE 33-bus radial distribution system use to test by the NSPSO method to determine location and capacity of  a  specific number  of DG in  distribution  system. The  final  optimal  solution is compromised by  fuzzy  method. The optimization problems can separate  to three cases by adding  multi-type  of  DG.  Case 1  is  adding  Photovoltaic (PV), Case  2  is adding Micro turbine (MT) and Case 3 is adding both PV and MT. The results of the study show Case 1 is the best plan with 49.61 percent of loading factor and  63.61  percent  of system real  power  loss  minimization  compare  to  the  base  case.  For economic  planning, Case  3  is  the  best  plan with  0.4238  million  $/year  of  annualized investment cost. 0aDistributed generation of electric power1 aSingh, Jai Govind,eChairperson0 aWeerakorn Ongsakul,eExamination Committee1 aMarpaung, Charles O.P.,eExamination Committee2 aPEA,eScholarship donor2 aAsian Institute of Technology Education Cooperation Project,eScholarship donor2 aAsian Institute of Technology.tThesis ;vno. ET-13-17  3Full-Textuhttp://203.159.5.9/ait-thesis/detail.php?q=B02290