NETWORK RECONFIGURATION FOR LOSS REDUCTION WITH DISTRIBUTED GENERATIONS USING GENETIC ALGORITHM
This project is to identify the switching operation plan for feeder reconfiguration and the optimum value of DG size simultaneously. The main objective is to reduce the real power losses and improve the bus voltage profile in the system while satisfying all the distribution constraints. A method based on Genetic algorithm to determine the minimum configuration is presented and their impact on the network real power losses and voltage profiles are investigated. Three different cases are considered as mentioned below with Newton-Raphson load flow analysis, and the effectiveness of the proposed technique carried out on 33 bus systems is also demonstrated through MATLAB simulations and the results are presented in the simulation video.
Case #1. Reconfiguration of 33 bus distribution system
Case #2. Optimal DG and sizing of 33 bus distribution system
Case #3. Simultaneous reconfiguration and DG installation of 33 bus distribution system
Result Evaluations:
Voltage profile
Active power loss
Reactive power loss
Convergence graph
DG location and DG size
Reference Paper-1: Network Reconfiguration for Loss Reduction with Distributed Generations Using PSO
Author’s Name: Wardiah Mohd Dahalan and Hazlie Mokhlis
Source: IEEE International Conference on Power and Energy (PECon)
Year:2012
Reference Paper-2: 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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SIMULATION VIDEO DEMO
