1 AIT Asian Institute of Technology

Multi-area economic dispatch by particle swarm optimization with time-varying acceleration coefficients

AuthorWatchara Jaroenpan
Call NumberAIT Thesis no.ET-11-14
Subject(s)Mathematical optimization
Electric power systems--Mathematical models

NoteA thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Energy.
PublisherAsian Institute of Technology
Series StatementThesis ; no. ET-11-14
AbstractThis 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
Year2011
Corresponding Series Added EntryAsian Institute of Technology. Thesis ; no. ET-11-14
TypeThesis
SchoolSchool of Environment, Resources, and Development (SERD)
DepartmentDepartment of Energy and Climate Change (Former title: Department of Energy, Environment, and Climate Change (DEECC))
Academic Program/FoSEnergy Technology (ET)
Chairperson(s)Weerakorn Ongsakul.;
Examination Committee(s)Marpaung, Charles O.P.;Singh, Jai Govind;
Scholarship Donor(s)PEA-AIT Education Cooperation Project;Royal Thai Government Fellowship;
DegreeThesis (M. Eng.) - Asian Institute of Technology, 2011


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