performance evaluation of swarm intelligence based power system ...

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A transmission llne on a per phase basis, can be regarded as a two-ponnetwork, where in the sendlng end voltage, Vs and current. IS are related to thereceiving end voltage, VK and current. IR through ABCD constants [I541 asReceiving and sending end currents can hc expressed In terms ofreceivlng andscndlng end voltagcs [I 54) as1 =Iv .AVB S B Y(E 3)Let A, B, D the transmission l~ne constants [I 541 he wrltten asA = IAlial. R - IBILPI. 1) - ID1 LUI (Since A =D)Therefore we can write,Substituting for In in equation (E.1) we get,
If equation (E.8) is expressed In real and rlnaglnarv parts, we can write the real andreactive powers at the receiving end [I 541 as.where A La 1 and B LP I are the transnilsston l~ne constantsFor the usual n-model, the transmlsslon l~ne constants may be written as follows(E. 12)If the length of the line is medium, thenZ is the total series impedance of ltne,Y is the total line charging susceptance.If it is a long transmission line, thenZ'Y'A=]+-- 2(E. 13)whereB = Z'
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PERFORMANCE EVALUATION OFSWARM INTE
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DECLARATION1 hereby declare that th
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In practical systems, the operating
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ACKNOWLEDGEMENTI express my deep se
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CONTENTSCHAPTERTITLEPAGE No.ABSTRAC
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CHAPTER TITLE PAGE No.2.4.4.2. Eval
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PACE No.6.3.2. Phase Advance Compen
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TABLE No.2.15.2.16.2.17.2.18.2.19.2
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xviiTABLE No.TITLEPAGE No.A.6.B.1.B
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LIST OF FIGURESFIGURE No. TITLE PAG
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LIST OF ABBREVIATIONSPSOParticle Sw
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Initial weightFinal weightMaximum i
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I0v ISubscript jpdWm*=Balanced load
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programming, mixed integer pmgrammi
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1.3.1. ECONOMIC LOAD DISPATCH PROBL
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Fung et al. [51] have formulated an
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een handled by BPSO, whereas the ec
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13.4. DISTRIBUTED GENERATION @G) FO
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A new topology based on 2-source in
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A novel PSO-based approach to quant
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economic load dispatch (ELD) for co
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B. Constraint Satisfaction Techniqu
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itself and the term c,Rand,( ) x (g
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the particle's position to pbest po
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wlthln the constraints. The details
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7. Modify the member position of ea
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By the method of curve fitting, the
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Table 2.2. Optimal scbeduliig of ge
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5-5 1 0 1 5 m U m 3 5 . 0 U 5 0Nmnb
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Table 2.9. Solution odiffereut meth
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where V, (i) and VmX(1) are minimum
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2. Initialize randomly the individu
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Table 2.1 1. ELD results obtained h
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The computational procedure of pric
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Table 2.14. CEED raub - IEEE-30 bus
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adjusted instantaneously. Even thou
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2.43. Futures of Genetic Algorithms
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Tbe GA's can be distinguished hrn o
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2. To each chromosome of the popula
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Table 2.16. Optimal generator dispa
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MethodGA method[421PSO method1421Hy
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Fig. 2.1 1 (;A-IDSO contergence cha
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CHAPTER 3INTEGRATED GA-PSO BASED UN
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upon any one of the two possible st
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where Tdom, is the minimum down tim
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2. ... lln are integers ranging h m
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3. For each chromosome economic loa
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Tnhle 3.2. C'ocl coefficients - IO-
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3.5. CONCLUSIONIn this approach a h
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to the corrective control of voltag
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) OLTC tap position (discrete varia
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4.5. SIMULATION RESULTSThe proposed
Page 111 and 112: The continuous AVR operating values
Page 113 and 114: Table 4.5. Optimal control variable
Page 115 and 116: As discussed earlier, if the index
Page 117 and 118: CHAPTER 5SWARM INTELLIGENCE BASED O
Page 119 and 120: 5.2. APPROACH TO QUANTIFY THE BENEF
Page 121 and 122: 5.2.2. Line loss redoction indexAno
Page 123 and 124: 53.1. Objective FunctionThc propose
Page 125 and 126: various capacities. The voltage pro
Page 127 and 128: ~ .-0.2072 0.7309 26.910.2039 0.719
Page 129 and 130: ITable 5.8. Solution of improvement
Page 131 and 132: capacitive operation and minimum po
Page 133 and 134: ~xtensively used in present DVR con
Page 135 and 136: 6.3.2.1. DVR Power FlowThe power fl
Page 137 and 138: (X'+Y:l0' =[i.. 1; ! ., I;]"IV,,COS
Page 139 and 140: Subject toL,oad voltage advance ang
Page 141 and 142: DVR is 99.906 KW for a balanced sag
Page 143 and 144: GenerationsFig. 6.3.
Page 145 and 146: CHAPTER 7CONCLUSIONThe thesis has i
Page 147 and 148: (vi)(vii)obtained using PSO based m
Page 149: APPENDICESAPPENDIX - ADATA FOR IEEE
Page 153 and 154: Table A.3. Generator cost and Emins
Page 155 and 156: APPENDIX - BDATA FOR 6 UNIT TEST SY
Page 157 and 158: APPENDIX - CDATA FOR lIUNlT TEST SY
Page 159: APPENDIX - DDATA FOR TAIPOWER 40-UN
Page 164 and 165: y IS propagation constant and 1 is
Page 166 and 167: APPENDIX - FSTANDARD - 5 BUS SYSTEM
Page 168 and 169: APPENDM - GDATA FOR IEEE-14 BUS TES
Page 170 and 171: Tabk G.2. Bus data and load flow re
Page 172: APPENDIX - HDATA FOR AN IEEE-57 BUS
Page 178 and 179: Table H3. Transformer tap setting d
Page 180 and 181: Tabk 1.1. Sitar and location of dif
Page 182 and 183: Tabk 1.3. Bus data
Page 184: Table J.2. Bus data- - ---- -- -L.o
Page 187 and 188: L. S. Vargas. V. H. Quintana, and V
Page 189 and 190: J. F. Dapao and H. M. Merill. "Opti
Page 191 and 192: P. H. Chen and H. C. Chang, "Large
Page 193 and 194: M. Tripathy and S. Mishra, "Bacteri
Page 195 and 196: [87] D. B. Fogel. "Evolut~onary Com
Page 197 and 198: [I071 Costas Voumas and M~chael Kar
Page 199 and 200: [I251 W. G. Scott, "M~cm-turb~ne ge
Page 201 and 202: [I431 F. Jurado and Perez Hidalgo.
Page 203 and 204: LIST OF PUBLICATIONSlnternational J
Page 205: VITAEP.Ajay-D-Vimal Raj born in Kar
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