03377nas a2200445 a 4500 20260818170731.0 130314s2011 th uu|m rtt 0| a1eng d .b12116014 AIT Thesis no.ET-11-12 Chakkapong Somsri Optimal distribution substation placement, size and installation period by improved-binary particle swarm optimization Pathum Thani, Thailand : Asian Institute of Technology, 2011 43 p. : ill. Thesis ; no. ET-11-12 Thesis (M. Eng.) - Asian Institute of Technology, 2011 A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Energy. This thesis proposes an improved binary PSO method for determining distribution substation location, sizing, and installation period. The proposed method uses nonlinear functions to evaluate the total investment cost of substation. The maximum sizes of substations and transformers, power balance, radial line placement and voltage drop constraints are included into the problem formulation. The problem is solved by improved binary PSO method. To validate the performance, the proposed method is tested on 9 sector area systems. Each sector area system represents different load forecast for ten-year intervals. An improved binary PSO can directly solve nonlinear objective function and constraints without the need to linearize the objective function and constraints by MILP. The substation location, sizing and installation period through improved binary PSO has an advantage over mixed integer linear programming as it leads to optimal solution in substation investment planning. The improved BPSO can overcome local optimization and has better performance of global searching. Test result indicates that the proposed method reaches a lower entire investment and annual operational cost than mixed integer linear programming in GAMS, leading to substantial cost savings. Electric substations Electric power distribution Singh, Jai Govind, Examination Committee Marpaung, Charles O.P., Examination Committee Weerakorn Ongsakul, Chairperson PEA-AIT Education Cooperation Project, Scholarship donor RTG Fellowship, Scholarship donor Asian Institute of Technology. Thesis ; no. ET-11-12 Full-Text http://203.159.5.9/ait-thesis/detail.php?q=B11582 .b12116014 mnait z 240403 0 130314 m a z 0 000:001:PDF:b1211601:000908:0:0:0:0:0:0 Abstract n mnait mnait mnarc 20 40 Barcode : 30050120602684 CREATED : 2013-03-14 RECORD # : i12726631 LPATRON : 0 LCHKIN : - # RENEWALS : 0 # OVERDUE : 0 IUSE3 : 0 TOT CHKOUT : 0 TOT RENEW : 0 Barcode : 30050120602718 CREATED : 2013-03-14 RECORD # : i12726643 LPATRON : 0 LCHKIN : - # RENEWALS : 0 # OVERDUE : 0 IUSE3 : 0 TOT CHKOUT : 0 TOT RENEW : 0 Barcode : 30050120368211 CREATED : 2016-08-06 RECORD # : i13023123 LPATRON : 0 LCHKIN : - # RENEWALS : 0 # OVERDUE : 0 IUSE3 : 0 TOT CHKOUT : 0 TOT RENEW : 0 83764 83764 0 0 0 0 MAIN MAIN mnait 2026-08-18 4.30 0 AIT Thesis no.ET-11-12 30050120602684 2026-08-18 17:07:31 1 2026-08-18 20 0 0 0 0 MAIN MAIN mnait 2026-08-18 4.30 0 AIT Thesis no.ET-11-12 30050120602718 2026-08-18 17:07:31 2 2026-08-18 20 0 0 0 0 MAIN MAIN mnarc 2026-08-18 0 AIT Thesis no.ET-11-12 30050120368211 2026-08-18 17:07:31 2026-08-18 40