Watchara Jaroenpan creator Weerakorn Ongsakul Chairperson Marpaung, Charles O.P. Examination Committee Singh, Jai Govind Examination Committee Royal Thai Government Fellowship Scholarship donor PEA-AIT Education Cooperation Project Scholarship donor text series technical report th Pathum Thani, Thailand Asian Institute of Technology 2011 continuing eng 36 leaves : ill. This thesis proposes a particle swarm optimization with time-varying acceleration coefficients (PSO-TVAC) technique for solving multi-area economic dispatch (MAED) problem. The objective of MAED is to determine the best generation schedule in multiarea power system for a given load with minimum cost, while satisfying power balance generator constraints, power generation limits and tie line constraints. The multi-area tieline limit constraints are used to ensure the system security and reliability. To evaluate the performance, the PSO-TV AC is implemented on 2, 4 and 14 area systems. The simulation results show that the proposed method is superior to evolutionary programming (EP), classical economic dispatch (CED), incremental network flow programming (INFP), spatial dynamic programming (SDP), and basic particle swarm optimization (BPSO) in terms of lower cost and faster computing time. 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 Mathematical optimization Electric power systems Mathematical models Asian Institute of Technology. http://203.159.5.9/ait-thesis/detail.php?q=B11588 http://203.159.5.9/ait-thesis/detail.php?q=B11588 130314 20260818155841.0