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Research Article |

Comparative Analysis of Congestion Management Methods with Integrated Renewable Energy Generation

Author(s): Poonam B. Dhabai*, Neeraj Tiwari and Sunil Kumar Gupta

Published In : International Journal of Electrical and Electronics Research (IJEER)        Volume 12, Issue 3

Publisher : FOREX Publication

Published : 30 September 2024

e-ISSN : 2347-470X

Page(s) : 1087-1093

DOI: https://doi.org/10.37391/IJEER.120344

Abstract

Inclusion of renewable energy in power grid at micro and macro level has imposed numerous challenges in the recent years. Occurrence and managing congestion in the power transmission line due to unpredictable and stochastic nature of Renewable Energy Source (RES) integration has become a challenging task to the grid operators. Transmission lines operate at bottlenecks during a congestion episode adding to the extra congestion cost and risk in grid stability which becomes burden to the generation as well as end users. Different methodologies are applied to detect and manage the congestion to eliminate the congestion cost factor and maintain grid stability. The presented analysis compares conventional methodology Linear Sensitivity Factors (LSF) and Heuristic methodology Particle Swarm Optimization (PSO) and Artificial Neural Network (ANN) methods for congestion management in power transmission lines with integrated RES (wind and solar) system. For comparative analysis, a modified standard IEEE 30 Bus system is chosen which is integrated with real time RES generation. Optimal locations of RES generation with minimized congestion cost and percentage of RES curtailment are chosen as objective function for comparison of the methodologies.

Keywords: Linear Sensitivity Factors, Particle Swarm Optimization, Artificial Neural Network, Congestion management.




Poonam B. Dhabai*, Research Scholar, Department of EE, Poornima University, Jaipur, India; Email: dhabaipoonam@gmail.com

Neeraj Tiwari, Professor, Department of EE, Poornima University, Jaipur, India; Email: neerajtiwari.1407@gmail.com

Sunil Kumar Gupta, Professor, Department of EE, Poornima University, Jaipur, India; Email: sunil.gupta@poornima.edu.in

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Poonam B. Dhabai, Neeraj Tiwari, Sunil Kumar Gupta (2024), Comparative Analysis of Congestion Management Methods with Integrated Renewable Energy Generation. IJEER 12(3), 1087-1093. DOI: 10.37391/IJEER.120344.