SELECTION BASED OPTIMAL DG AND CAPACITOR PLACEMENT USING SALP SWARM ALGORITHM
In a distribution network timely varying load demand makes the operation and control more complex mostly in the high load density zones. The power loss of a distribution network will not be minimum with varying load demand for a fixed configuration of the network. Hence, timely reconfiguration of the network is required. Network reconfiguration is the process of varying the topological structure of feeders by altering the open/closed status of sectionalising and tie switches. In general, reconfiguration of the network is preferred to relive the overloaded feeders and to minimize real power loss in the distribution system. This Matlab design based on Salp Swarm Optimization Algorithm (SSA) for solving network reconfiguration and DG/Capacitor allocation by using Backward-Forward Sweep load flow analysis to minimise power loss and voltage deviation. The design tested in IEEE 33 and 69 Bus System using Matlab 2020a/2021b version to verify the performance by applying time varying load model and three different load conditions with 12 cases as below.
1. Base case
2. Only Reconfiguration
3. Only DG Allocation
4. Only Capacitor Allocation
5. DG allocation after Reconfiguration
6. Reconfiguration after DG Allocation
7. Capacitor allocation after Reconfiguration
8. Reconfiguration after Capacitor Allocation
9. Simultaneous Capacitor and DG Allocation
10. Simultaneous Reconfiguration and DG Allocation
11. Simultaneous Reconfiguration and Capacitor Allocation
12. Simultaneous Reconfiguration, DG and Capacitor Allocation
Load Conditions,
• Light Load Type Value=0.5
• Normal Load Type Value=1
• Heavy Load Type Value=1.6
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]
LOCATION OF DIFFERENT CUSTOMERS
TYPE OF CUSTOMERS 33-BUS NUMBER 69-BUS NUMBER
RESIDENTIAL 1 to 18 1 to 27
INDUSTRIAL 19 to 22 28 to 46
COMMERCIAL 23 to 25 47 to 52 and 66 to 69
EDUCATIONAL 26 to 33 53 to 65
REFERENCES
Reference Paper-1: Optimal reconfiguration and renewable distributed generation allocation in electric distribution systems
Author’s Name: Kola Sampangi Sambaiah and T. Jayabarathi
Source: International Journal of Ambient Energy
Year: 2019
Reference Paper-2: Optimal reconfiguration and capacitor placement for power loss reduction of a 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-3: Reconfiguration and optimal capacitor placement for losses reduction
Author’s Name: Diana P. Montoya and Juan M. Ramirez
Source: IEEE
Year:2012
Reference Paper-4: 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/1EYzPdimMsrtrnE5kGVZmLDPqL4CT4eUZ/view?usp=sharing
SIMULATION VIDEO DEMO
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