Optimal Distribution Substations Placement using Genetic Algorithm: FValue=SP_tlosscost1(InValue) - 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

FValue=SP_tlosscost1(InValue)

% this function return the transformer's (input argument) loss
function FValue=SP_tlosscost1(InValue)

global KWTransformersTypes ShortCircuitLosses
Tag = find(KWTransformersTypes == InValue);
FValue = ShortCircuitLosses(1,Tag);

Highlights from Optimal Distribution Substations Placement using Genetic Algorithm

Highlights from
Optimal Distribution Substations Placement using Genetic Algorithm