Optimal Distribution Substations Placement using Genetic Algorithm: All Files - File Exchange

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Highlights from
Optimal Distribution Substations Placement using Genetic Algorithm

DSP(varargin)
FValue=SP_tlosscost1(InValue) this function return the transformer's (input argument) loss
FValue=SP_tlosscost1(InValue) this function return the transformer's (input argument) loss
SP_2kva(InVal) this function convert the input to a correspounding kVA.
SP_create(NVARS,FitnessFcn,op... this function creates the first population used by Genetic Algorithm
SP_crossover(parents,options,... this function is dedicated for crossover operation used by MATLAB ga
SP_fitness(x,FinalTLDistances... here, the fitness function is created. the sum of distances from loads to
SP_instcost(substation) this function dedicates the primary installation cost
SP_main() this program is designed for optimal substation placement
SP_mutation(parents ,options,... this function is dedicated for crossover operation used by MATLAB ga
SP_stepup(CurVal,X_Cord,Y_Cor... this function step-up the transformers size until it can feed the total
DSP_help.m
SP_initialize.m
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from Optimal Distribution Substations Placement using Genetic Algorithm by Amir Pouya Khansaryan
Finds the optimal location and capacity of distribution substations

All files for Optimal Distribution Substations Placement using Genetic Algorithm

/DATA.xls
/DSP.fig
/DSP.m
/DSP_help.m
/RESULT.xls
/SP_2kva.m
/SP_create.m
/SP_crossover.m
/SP_fitness.m
/SP_initialize.m
/SP_instcost.m
/SP_main.m
/SP_mutation.m
/SP_stepup.m
/SP_tlosscost1.m
/SP_tlosscost2.m

Highlights from Optimal Distribution Substations Placement using Genetic Algorithm

Highlights from
Optimal Distribution Substations Placement using Genetic Algorithm