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008 110729s2010 th uu|m rtt 0| a1eng d
035 _a.b12099028
099 9 _aAIT Thesis no.ET-10-32
100 0 _aBancha Rangsakorn
245 1 0 _aMulti-objective distributed generation optimal placement in distribution system using nondominated sorting particle swarm optimization
260 _aPathum Thani, Thailand :
_bAsian Institute of Technology,
_c2010
300 _a57 leaves :
_bill. +
_e1 online resource
490 1 _aThesis ;
_vno. ET-10-32
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, 2010
520 _aThis thesis proposes the non-dominated sorting particle swarm optimization (NSPSO) algorithm for multi-objective optimal placement for distributed generation (DG) in the distribution system to minimize the total real power loss and DG investment cost Four difference types of DG are used including DG supplying real power only, DG supplying reactive power only, DG supplying real power and consuming the reactive power, and DG supplying both real and reactive power. The Pareto front based non-dominated sorting particle swarm optimization algorithm (NSPSO) is representing non-dominated sorting solutions of two multi-objective functions. A fuzzy decision making analysis is used to obtain the final trade off optimal solution. The 33 and 69 bus radial test systems are used in the simulation. The NSPSO can obtain pareto front between real power loss and investment cost for optimally placed multi distributed generations on four different types of DG
650 0 _aDistributed generation of electric power
700 0 _aWeerakorn Ongsakul,
_eChairperson
700 1 _aMarpaung, Charles O.P.,
_eExamination Committee
700 1 _aSingh, Jai Govind,
_eExamination Committee
710 2 _aPEA,
_eScholarship donor
710 2 _aAsian Institute of Technology Education Cooperation Project,
_eScholarship donor
710 2 _aRTG Fellowship,
_eScholarship donor
810 2 _aAsian Institute of Technology.
_tThesis ;
_vno. ET-10-32
856 _3Full-Text
_uhttp://203.159.5.9/ait-thesis/detail.php?q=B02236
907 _a.b12099028
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962 _a000:001:PDF:b1209902:000675:0:0:0:0:0:0
_tAbstract-AIT Thesis no.ET-10-32
_vn
945 _lmnait
945 _lmnarc
942 _c22
942 _c40
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