AI SearchA multi-objective approach for optimal placement of DG to enhance power distribution network performance using NSPSO
Hathaikan Mee-Kham
A multi-objective approach for optimal placement of DG to enhance power distribution network performance using NSPSO - Pathum Thani, Thailand : Asian Institute of Technology, 2013 - 36 leaves : ill. + 1 online resource - Thesis ; no. ET-13-17 . - Asian Institute of Technology. Thesis ; no. ET-13-17 .
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, 2013
The 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.
Distributed generation of electric power
A multi-objective approach for optimal placement of DG to enhance power distribution network performance using NSPSO - Pathum Thani, Thailand : Asian Institute of Technology, 2013 - 36 leaves : ill. + 1 online resource - Thesis ; no. ET-13-17 . - Asian Institute of Technology. Thesis ; no. ET-13-17 .
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, 2013
The 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.
Distributed generation of electric power