No BSD License
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DSP(varargin)
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FValue=SP_tlosscost1(InValue)
this function return the transformer's (input argument) loss
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FValue=SP_tlosscost1(InValue)
this function return the transformer's (input argument) loss
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SP_2kva(InVal)
this function convert the input to a correspounding kVA.
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SP_create(NVARS,FitnessFcn,op...
this function creates the first population used by Genetic Algorithm
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SP_crossover(parents,options,...
this function is dedicated for crossover operation used by MATLAB ga
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SP_fitness(x,FinalTLDistances...
here, the fitness function is created. the sum of distances from loads to
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SP_instcost(substation)
this function dedicates the primary installation cost
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SP_main()
this program is designed for optimal substation placement
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SP_mutation(parents ,options,...
this function is dedicated for crossover operation used by MATLAB ga
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SP_stepup(CurVal,X_Cord,Y_Cor...
this function step-up the transformers size until it can feed the total
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DSP_help.m
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SP_initialize.m
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View all files
Optimal Distribution Substations Placement using Genetic Algorithm
by Amir Pouya Khansaryan
29 Jan 2006
(Updated 30 Jan 2006)
Finds the optimal location and capacity of distribution substations
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Watch this File
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| File Information |
| Description |
This program uses an Excel data file "DATA.xls" as an input to the program. the input file consists these worksheets: 1.input load data (active power of each load block and their X-Y cooedinates 2. present transformers and their capacities in kVA 3. candidate points for new transformers 4. transformers Loading Factor and design Power Factor 4. types of transformers usable in the netwok.
this program searches for the best allignment and configuration for distribution substations. the optimization includes install cost, transformers loss, typical low-voltage losses, and under-voltage happening constraints.
output of the program is an Excel file "RESULT.xls" that includes all selected and designed transformers capacities, X-Y cordinates and each Load-Transformer connection. (more details can be available if favorite) |
| Required Products |
Global Optimization Toolbox
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| MATLAB release |
MATLAB 7 (R14)
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| Other requirements |
enough RAM and virtual memory |
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| 04 Feb 2006 |
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