NETWORK RECONFIGURATION AND DG ALLOCATION IN DIFFERENT LOAD CONDITION USING SALP SWARM ALGORITHM

DESIGN DETAILS
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 Algorithm (SSA) for solving network reconfiguration and DG 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 version to verify the performance by applying three different load conditions with 6 cases as listed below.

Case:1--Base Case.
Case:2--Only Network Reconfiguration.
Case:3--Only DG Placement.
Case:4--DG Placement after Network Reconfiguration.
Case:5--Network Reconfiguration after DG Placement.
Case:6--Network Reconfiguration and DG Placement Simultaneously.

Load Conditions,
• Light Load Type Value=0.5
• Normal Load Type Value=1
• Heavy Load Type Value=1.6

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

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