Managing Network Congestion in Deregulated Environments Using Chaotic Butterfly-Optimized CNN Approach with Modified Back Propagation
| International Journal of Electronics and Communication Engineering |
| © 2023 by SSRG - IJECE Journal |
| Volume 10 Issue 11 |
| Year of Publication : 2023 |
| Authors : Dhanadeepika Bosupally, Vanithasri Muniyamuthu, Chakravarthy Muktevi |
10.14445/23488549/IJECE-V10I11P107
How to Cite?
Dhanadeepika Bosupally, Vanithasri Muniyamuthu, Chakravarthy Muktevi, "Managing Network Congestion in Deregulated Environments Using Chaotic Butterfly-Optimized CNN Approach with Modified Back Propagation," SSRG International Journal of Electronics and Communication Engineering, vol. 10, no. 11, pp. 69-80, 2023. Crossref, https://doi.org/10.14445/23488549/IJECE-V10I11P107
Abstract:
Power system congestion challenges are a common problem brought on by line, voltage and thermal limits. This process results in voltage instability, loss growth and voltage drop in the power system. Thus, considering all the known restrictions, efficient management of congestion should be carried out in order to ensure system operability. In this work, a Congestion Management (CM) method using a modified Back Propagation (BP) algorithm based on a Convolutional Neural Network (CNN) with a Chaotic Butterfly Optimization Algorithm (CBOA) is designed to reduce congestion and encourage Independent System Operators (ISOs). The primary objective of the proposed work is to produce improved estimation outputs with lower error values for congestion management. The proposed strategy is effectively verified for its operation on systems tested for various dimensions by implementing it on customized IEEE 118-bus, IEEE 57-bus and IEEE 30-bus test systems. The simulation is made using MATLAB Simulink software to acquire the most significant data for the test system, including congestion cost, change in real power, convergence profile and voltage magnitude.
Keywords:
Convolutional Neural Network, Chaotic Butterfly Optimization, Congestion management, Modified back propagation algorithm.
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