RECONFIGURATION AND CAPACITOR ALLOCATION IN TIME VARYING MODEL AND DIFFERENT LOAD CONDITION-IBPSO

This Matlab design based on IBPSO algorithm for solving network reconfiguration and capacitor allocation by using Backward-Forward Sweep load flow analysis to minimise power loss and voltage deviation. The design tested in IEEE 16 Bus System using Matlab 2020a version to verify the performance by applying 6 cases in different load conditions and time varying load models as listed below.

Case:1--Base Case.

Case:2--Only Network Reconfiguration.

Case:3--Only Capacitor Placement.

Case:4-- Capacitor Placement after Network Reconfiguration.

Case:5--Network Reconfiguration after Capacitor Placement.

Case:6--Network Reconfiguration and Capacitor Placement Simultaneously.

Load Conditions,

•Light Load Type Value=0.5

•Normal Load Type Value=1

•Heavy Load Type Value=1.6

LOCATION OF DIFFERENT CUSTOMERS

CUSTOMERS 16-BUS NUMBER

RESIDENTIAL 1 to 8

INDUSTRIAL 9 to 10

COMMERCIAL 11 to 12

EDUCATIONAL 13 to 16

GROUPING OF SIMILAR LOAD HOURS

Load Hours-1= [ 2, 3, 4, 5, 6]

Load Hours-2= [ 1, 7, 8, 23, 24]

Load Hours-3= [ 9, 18, 19, 21, 22]

Load Hours-4= [ 10, 11, 12, 13, 14, 15, 16, 17, 20]

REFERENCES

Reference Paper-1: Optimal reconfiguration and capacitor placement for power loss reduction of distribution system using improved binary particle swarm optimization.

Author’s Name: Mostafa Sedighizadeh. Marzieh Dakhem. Mohammad Sarvi and Hadi Hosseini Kordkheili

Source: Int J Energy Environ Eng

Year:2014

Reference Paper-2: Reconfiguration and optimal capacitor placement for losses reduction

Author’s Name: Diana P. Montoya and Juan M. Ramirez

Source: IEEE

Year:2012

Reference Paper-3: Genetic Algorithm based Network Reconfiguration in Distribution Systems with Multiple DGs for Time Varying Loads

Author’s Name: Chidanandappa. R, Dr.T.Ananthapadmanabha and , Ranjith. H.C

Source: Elsevier

Year:2015

DOWNLOAD the Matlab(P-code) encrypted code from the below URL,

https://drive.google.com/file/d/1dW6aZ-gWyO32azs_mr6Cx2ORgM8hnJ6c/view?usp=sharing

SIMULATION VIDEO DEMO

If you are looking for customized design development, contact us by WhatsApp @ +91 790 456 8 456 or Email us info@verilogcourseteam.com.

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