Open Access Open Access  Restricted Access Subscription or Fee Access

An Intelligent Self Healing System for Congestion Management in Smart Grid Using Genetic Algorithm

(*) Corresponding author

Authors' affiliations



Power transfer to the load through transmission and distribution network is the major role of a power system operator. Transmission line congestion management is essential for satisfactory delivery of power to the customers.  In this paper, a mathematical computational algorithm is developed using Genetic Algorithm (GA) based optimization which relieves congestion in the transmission lines. GA is able to remove congestion by proposing the appropriate change required in line reactance to relieve transmission line congestion. The proposed algorithm considers series capacitance compensation thereby increasing the line loading ability. The proposed method removes congestion automatically in any line, considering its line load limit and makes the grid smart through this self-healing property. This automated technique is able to propose the change in line reactance value required to remove congestion without changing the generation and load. To validate the effectiveness of the algorithm, it is tested in 5 bus IEEE, 14 bus IEEE, and 30 bus IEEE test systems. This algorithm is also verified in scaled down laboratory model of 5 bus IEEE system available in the laboratory. The testing results prove that the proposed GA based congestion management algorithm can relieve congestion in any line of any network automatically.
Copyright © 2022 Praise Worthy Prize - All rights reserved.


Mathematical Computational Algorithm; Genetic Algorithm; Series Compensation; Congestion Management; Self- Healing; Smart Grid

Full Text:



Anusha Pillay, S. Prabhakar Karthikeyan and D.P. Kothari, Congestion management in power systems - A review, Electrical Power and Energy Systems, Vol. 70, 83-90, September 2015.

Kiran P , K R M Vijaya Chandrakala and T N P Nambiar, Agent based locational marginal pricing and its impact on market clearing price in a deregulated electricity market, Journal of Electrical Systems, Vol.15 (Issue3), 405-416, August 2019.

Al Hasibi, R., Hadi, S., Sarjiya, S., The Integration of Renewable-Distributed Energy Resources into Electrical Power System Expansion with Intermittency Consideration, (2021) International Review on Modelling and Simulations (IREMOS), 14 (2), pp. 89-100.

Mohammad Mahmoudian Esfahani and Gholam Reza Yousefi, Real Time Congestion Management in Power Systems Considering Quasi-Dynamic Thermal Rating and Congestion Clearing Time, IEEE Transactions on Industrial Informatics, Vol. 12 (Issue 2), 745-754, April 2016.

Fariborz Zaeim-kohan, Hadi Razmi, Hasan Doagou Mojarrad, Multi objective transmission congestion management considering demand response programs and generation rescheduling, Applied soft computing, Vol.170, 169-181, September 2018.

A. Ahamed Jeelani Basha and M. Anitha, Transmission Congestion Management in Restructured Power System using Firefly Algorithm, International Journal of Computer Applications, Vol. 85(Issue 1), 39-43, 2014.

Abbas Tabandeh, Amir Abdollahi and Masoud Rashidinejad, Security-based Congestion Management Considering Power System Components Uncertainty, 21st Electrical Power Distribution Conference, 172-179, July 2016.

Preeti Borkar, Niranjan Kumar, Durgesh Choudhary, Active Power Rescheduling of Generator for Congestion Management using Whale Optimization Technique, 2018 International Conference on Smart Electric Drives & Power System, 142-146, November 2018

Sudipta Dutta, S. P. Singh, Optimal Rescheduling of Generators for Congestion Management Based on Particle Swarm Optimization, IEEE Transactions on Power Systems, Vol. 23 (Issue 4) 1560-1569, August 2008.

Giuseppe Marco Tina, Claudio F. Nicolosi, Pierluigi Siano, Congestion relief market model based on load biddings, 2019 International Conference on Smart Energy Systems and Technologies, September 2019.

N. Janarthanan , Dr. S. Balamurugan, Drisya K. V., Real time congestion management using coordinated control Algorithm, International Conference on Intelligent Computing, Instrumentation and Control Technologies, April 2018.

S. Balamurugan and N. Janarthanan, Laboratory model to teach operation of power systems, IEEE 4th International Conference on MOOCs, Innovation and Technology in Education, 1-4, September 2017.

Surya R, Janarthanan N and S. Balamurugan, A novel technique for congestion management in transmission system by real power flow control, International Conference on Intelligent Computing, Instrumentation and Control Technologies, 1349-1354, 2017.

N. Janarthanan, S. Balamurugan, Sasi K. Kottayil, Optimal Control Strategy to Alleviate Line Congestion in Power System using Bus Power Rescheduling, Journal of Electrical systems, Vol. 16 (Issue 2), 201-217, April 2020.

Ashwani Kumar and Jitendra Kumar, ATC determination with FACTS devices using PTDFs approach for multi-transactions in competitive electricity markets, Electric Power and Energy Systems, Vol. 44, 308-317, January 2013.

S. K. Gupta,N. K. Yadav, Mukesh kumar, Effect of FACTS Devices on Congestion Management using Active & Reactive Power Rescheduling, 2nd IEEE International conference on power electronics, Intelligent control and energy systems, pp.50-55, November 2019.

S. Balamurugan, Janani Sunil, J. kashreya, Real power flow control in a transmission line by varying the turns ratio of the injection transformer, 2019 Innovations in Power and Advanced Computing Technologies (i-PACT), January 2020.

Abdillah, M., Nugroho, T., Pertiwi, N., Multi-Objective Interval Type 2 Fuzzy Sine Cosine Algorithm for Solving Optimal Power Flow Problem, (2021) International Review of Electrical Engineering (IREE), 16 (2), pp. 118-126.

N. Krithika and S. Balamurugan, A new control strategy for power transmission congestion management using series compensation, Electrical Power and Energy systems, Vol. 77, 271-279, May 2016.

Abdillah, M., Setiadi, H., Advanced Wide-Area Monitoring System Design for Electrical Power System, (2020) International Review on Modelling and Simulations (IREMOS), 13 (6), pp. 362-372.

M. P. Praneetha and K. R. M. Vijayachandrakala, Optimal capacitor placement based improved reliability assessment of Distribution system, 2017 International Conference on Intelligent Computing and Control, Vol.9 1-7,March 2018.

Rahmat-AllahHooshmand, Mohammad Javad Morshed MoeinParastegari, Congestion management by determining optimal location of series FACTS devices using hybrid bacterial foraging and Nelder Mead algorithm, Applied soft computing Vol. 28, 57-68, March 2015.

Esmaeil Ghahremani and Innocent Kamwa, Optimal Placement of Multiple-Type FACTS Devices to Maximize Power System loadability Using a Generic graphical user interface, IEEE Transactions on power systems, Vol. 28 (Issue 2), 764-777, May 2013.

S. N. Singh and A. K. David, Congestion management by optimising FACTS device location, International Conference on Electric Utility Deregulation and Restructuring and Power Technologies, 23-28, August 2000.

Moreno-Chuquen, R., Cantillo-Luna, S., Assessment of a Multiperiod Optimal Power Flow for Power System Operation, (2020) International Review of Electrical Engineering (IREE), 15 (6), pp. 484-492.

Moreno-Chuquen, R., Florez-Cediel, O., Online Dynamic Assessment of System Stability in Power Systems Using the Unscented Kalman Filter, (2019) International Review of Electrical Engineering (IREE), 14 (6), pp. 465-472.

Jamaica-Obregón, J., Moreno-Chuquen, R., Flórez-Cediel, O., Optimal Operation of Grid-Connected Microgrids with Photovoltaic Generation and Storage, (2021) International Review of Electrical Engineering (IREE), 16 (1), pp. 50-59.


  • There are currently no refbacks.

Please send any question about this web site to
Copyright © 2005-2023 Praise Worthy Prize