TY  - SER
AU  - Chakkapong Somsri
AU  - Singh,Jai Govind
AU  - Marpaung,Charles O.P.
AU  - Weerakorn Ongsakul,
ED  - PEA-AIT Education Cooperation Project,
ED  - RTG Fellowship,
TI  - Optimal distribution substation placement, size and installation period by improved-binary particle swarm optimization
T2  - Thesis
PY  - 2011///
CY  - Pathum Thani, Thailand
PB  - Asian Institute of Technology
KW  - Electric substations
KW  - Electric power distribution
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, 2011
N2  - 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
UR  - http://203.159.5.9/ait-thesis/detail.php?q=B11582
ER  -