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| 008 | 140128s2013 th uu|m rtt 0| a1eng d | ||
| 035 | _a.b12126007 | ||
| 099 | 9 | _aAIT Thesis no.ET-13-17 | |
| 100 | 0 | _aHathaikan Mee-Kham | |
| 245 | 1 | 2 | _aA multi-objective approach for optimal placement of DG to enhance power distribution network performance using NSPSO |
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_aPathum Thani, Thailand : _bAsian Institute of Technology, _c2013 |
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| 300 |
_a36 leaves : _bill. + _e1 online resource |
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| 490 | 1 |
_aThesis ; _vno. ET-13-17 |
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| 500 | _aA thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Energy | ||
| 502 | _aThesis (M.Eng.) - Asian Institute of Technology, 2013 | ||
| 520 | _aThe 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. | ||
| 650 | 0 | _aDistributed generation of electric power | |
| 700 | 1 |
_aSingh, Jai Govind, _eChairperson |
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| 700 | 0 |
_aWeerakorn Ongsakul, _eExamination Committee |
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| 700 | 1 |
_aMarpaung, Charles O.P., _eExamination Committee |
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| 710 | 2 |
_aPEA, _eScholarship donor |
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_aAsian Institute of Technology Education Cooperation Project, _eScholarship donor |
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_aAsian Institute of Technology. _tThesis ; _vno. ET-13-17 |
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| 856 |
_3Full-Text _uhttp://203.159.5.9/ait-thesis/detail.php?q=B02290 |
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_a000:001:PDF:b1212600:001179:0:0:0:0:0:0 _tAbstract--AIT Thesis no.ET-13-17 _vn |
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