In the present deregulated electricity market, power system congestion is the main complication that an independent system operator (ISO) faces on a regular basis. Transmission line congestion trigger serious problems for smooth functioning in restructured power system causing an increase in the cost of transmission hence affecting market efficiency. Thus, it is of utmost importance for the investigation of various techniques in order to relieve congestion in the transmission network. Generation rescheduling is one of the most efficacious techniques to do away with the problem of congestion. For optimiz ing the congestion cost, this work suggests a hybrid optimization based on two effective algorithms viz Teaching learning-based optimization (TLBO) algorithm and Particle swarm optimization (PSO) algorithm. For binding the constraints, the traditional penalty function technique is incorporated. Modified IEEE 30-bus test system and modified IEEE 57-bus test system are used to inspect the usefulness of the suggested methodology.
KeywordsCongestion ManagementDeregulationOptimal Power FlowTeaching-Learning-Based Optimization (TLBO)Power System Modeling
Verma, S., Saha, S. and Mukherjee, V. (2016) Optimal Rescheduling of Real Power Generation for Congestion Management Using Teaching-Learning-Based Optimization Algorithm. Journal of Electrical Systems and Information Technology, 5, 889-907. https://doi.org/10.1016/j.jesit.2016.12.008
Ali, D., Paul, W.U.H., Ali, M.S., Ahmad, M. and Ashfaq, H. (2021) Optimal Placement of Distribution Generation Sources in Hybrid Generation Network. Smart Grid and Renewable Energy, 12, 65-80. https://doi.org/10.4236/sgre.2021.125005
Sarwar, M. and Siddiqui, A.S. (2016) Congestion Management in Deregulated Electricity Market Using Distributed Generation. 2015 Annual IEEE India Conference (INDICON), New Delhi, 17-20 December 2015, 1-5. https://doi.org/10.1109/INDICON.2015.7443618
Sarwar, M. and Siddiqui, A.S. (2016) An Approach to Locational Marginal Price Based Zonal Congestion Management in Deregulated Electricity Market. Frontiers in Energy, 10, 240-248. https://doi.org/10.1007/s11708-016-0404-z
Singh, H., Hao, S. and Papalexopoulos, A. (1998) Transmission Congestion Management in Competitive Electricity. IEEE Transactions on Power Systems, 13, 672-680. https://doi.org/10.1109/59.667399
Fang, R.S. and David, A.K. (1999) Transmission Congestion Management in an Electricity Market. IEEE Transactions on Power Systems, 14, 877-863. https://doi.org/10.1109/59.780898
Fu, J. and Lamont, J.W. (2001) A Combined Framework for Service Identification and Congestion Management. IEEE Transactions on Power Systems, 16, 56-61. https://doi.org/10.1109/59.910781
Talukdar, B.K., Sinha, A.K., Mukhopadhyay, S. and Bose, A. (2005) A Computationally Simple Method for Cost-Efficient Generation Rescheduling and Load Shedding for Congestion Management. International Journal of Electrical Power & Energy Systems, 27, 379-388. https://doi.org/10.1016/j.ijepes.2005.02.003
Conejo, A.J., Milano, F. and García-Bertrand, R. (2006) Congestion Management Ensuring Voltage Stability. IEEE Transactions on Power Systems, 21, 357-364. https://doi.org/10.1109/TPWRS.2005.860910
Capitanescu, F. and Van Cutsem, T. (2007) A Unified Management of Congestions Due to Voltage Instability and Thermal Overload. Electric Power Systems Research, 77, 1274-1283. https://doi.org/10.1016/j.epsr.2006.09.015
Dutta, S. and Singh, S.P. (2008) Optimal Rescheduling of Generators for Congestion Management Based on Particle Swarm Optimization. IEEE Transactions on Power Systems, 23, 1560-1569. https://doi.org/10.1109/TPWRS.2008.922647
Zhuang, F. and Galiana, F.D. (1990) Unit Commitment by Simulated Annealing. IEEE Transactions on Power Systems, 5, 311-318. https://doi.org/10.1109/59.49122
Jang, J.S.R., Sun, C.T. and Mizutani, E. (1996) Neuro-Fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence. Pearson Education, USA.
Rastgou, A. and Moshtagh, J. (2014) Improved Harmony Search Algorithm for Transmission Expansion Planning with Adequacy-Security Considerations in Deregulated Power System. International Journal of Electrical Power & Energy Systems, 60, 153-164. https://doi.org/10.1016/j.ijepes.2014.02.036
Kumar, A. and Sekhar, C. (2013) Congestion Management with FACT Devices in Deregulated Electricity Markets Ensuring Loadability Limit. International Journal of Electrical Power & Energy Systems, 46, 258-273. https://doi.org/10.1016/j.ijepes.2012.10.010
Rao, R.V., Savsani, V.J. and Balic, J. (2012) Teaching-Learning-Based Optimization Algorithm for Unconstrained and Constrained Real-Parameter Optimization Problems. Engineering Optimization, 44, 1447-1462. https://doi.org/10.1080/0305215X.2011.652103
Togan, V. (2012) Design of Planar Steel Frames Using Teaching-Learning Based Optimization. Engineering Structures, 34, 225-232. https://doi.org/10.1016/j.engstruct.2011.08.035
Balaraman, S. and Kamaraj, N. (2011) Transmission Congestion Management Using Particle Swarm Optimization. Journal of Electrical Systems, 7, 54-70.
Rao, R.V., Savsani, V.J. and Vakharia, D.P. (2011) Teaching-Learning-Based Optimization: A Novel Method for Constrained Mechanical Design Optimization Problems. Computer-Aided Design, 43, 303-315. https://doi.org/10.1016/j.cad.2010.12.015
Rao, R. V., Savsani, V.J. and Vakharia, D.P. (2012) Teaching-Learning-Based Optimization: An Optimization Method for Continuous Non-Linear Large Scale Problems. Information Sciences, 183, 1-15. https://doi.org/10.1016/j.ins.2011.08.006
Pawar, P.J. and Rao, R.V. (2013) Parameter Optimization of Machining Processes Using Teaching-Learning-Based Optimization Algorithm. International Journal of Advanced Manufacturing Technology, 67, 1955. https://doi.org/10.1007/s00170-013-4961-6
Akhtar, I., Paul, W.U.H., Kirmani, S. and Asim, M. (2021) Cost Analysis of 18 kW Solar Photovoltaic System for Smart Cities Growth in India. In: Iqbal, A., Malik, H., Riyaz, A., Abdellah, K. and Bayhan, S., Eds., Renewable Power for Sustainable Growth, Vol. 723, Springer, Singapore, 661-667. https://doi.org/10.1007/978-981-33-4080-0_63
Bhattacharya, S., Kuanr, B.R., Routray, A. and Dash, A. (2017) Transmission Congestion Management in Restructured Power System by Rescheduling of Generators Using TLBO. 2017 IEEE International Conference on Electrical, Instrumentation and Communication Engineering, Karur, 27-28 April 2017, 1-7. https://doi.org/10.1109/ICEICE.2017.8191937
Kumar, A., Singh, S.N. and Lai, L.L. (2008) Impact of TCPAR on Congestion Clusters and Congestion Management Using Mixed Integer Nonlinear Programming Approach. 2006 IEEE Power Engineering Society General Meeting, Montreal, 18-22 June 2006, 7. https://doi.org/10.1109/PES.2006.1709109
Paul, W.U.H., Kirmani, S., Bhat, M.B. and Nahvi, S.A. (2020) Data Based Controller Design for PMDC Motor Setup Using System Identification. Studies In Indian Place Names, 40, Article No. 11.
Kothari, D.P. (1993) Power System. PHI Learning, Delhi.
Kennedy, J. and Eberhart, R. (1995) Particle Swarm Optimization. Proceedings of ICNNi’95—International Conference on Neural Networks, Perth, 27 November-1 December 1995, 1942-1948. https://doi.org/10.1109/ICNN.1995.488968
Eberhart, R. and Kennedy, J. (2002) A New Optimizer Using Particle Swarm Theory. Proceedings of the 6th International Symposium on Micro Machine and Human Science, Nagoya, 4-6 October 1995, 39-43. https://doi.org/10.1109/MHS.1995.494215
Shi, Y. and Eberhart, R.C. (1999) Empirical Study of Particle Swarm Optimization. Proceedings of the 1999 Congress on Evolutionary Computation, Washington DC, 6-9 July 1999, 1945-1950. https://doi.org/10.1109/CEC.1999.785511
Verma, S., Saha, S. and Mukherjee, V. (2017) A Novel Symbiotic Organisms Search Algorithm for Congestion Management in Deregulated Environment. Journal of Experimental & Theoretical Artificial Intelligence, 29, 197-218. https://doi.org/10.1080/0952813X.2015.1132269