OPTIMAL PLACEMENT OF DG IN DIFFERENT LOAD MODELS USING GENETIC ALGORITHM COMPARED WITH BAT ALGORITHM
DESIGN DETAILS
DESIGN DETAILS
The optimal placement of DG in RDS is a technique to find best configuration, which provides reduced power loss with maintaining all operating constraints, like voltage profile of all nodes, current capacity of the feeder, and radial structure of the network. This Matlab design is based on Optimal Placement of DG using BAT algorithm is compared with Genetic Algorithm and Forward Backward Sweep load flow analysis for reduction of losses, improvement in voltage profile. The main contribution of the design is,
1.Base Case
2.Optimal Placement and Sizing of Multiple DG using Bat Algorithm.
3.Optimal Placement and Sizing of Multiple DG using Genetic Algorithm.
4.Comparison of Bat and Genetic Algorithm.
Load Model:
1.CP Load Model,
2.CI Load Model,
3.CZ Load Model and
4.ZIP Load Model.
TESTING
The design tested in IEEE 33,69 and 118 bus systems by varying the power factor values and by applying different models using Matlab 2020a/2021b. The simulation video shows the performance of the design with its result graphs/values.
REFERENCES
Reference Paper-1: Energy saving using D-STATCOM placement in radial distribution system under reconfigured network.
Author’s Name: Atma Ram Gupta and, Ashwani Kumar
Source: Elsevier
Year:2016
DOWNLOAD the Matlab(P-code) encrypted code from the below URL,
https://drive.google.com/file/d/1ZWGrRkRuyQYBtYIBBrjs8ihHzQVDE_p3/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.