Safe and incessant power flow is considered as a serious problem which has to be corrected in the transmission line. Actually, rescheduling based Congestion Management is deliberated as the capable solutions for the feature. Still, the technique faces problems based on the cost of rescheduling. A huge number of research studies have been identified hitherto to resolve the problems in Congestion Management. In addition, optimization methods play a very important role to solve this problem. In this case, this work develops a novel rescheduling based Congestion Management. technique that integrates a novel method; Grey Wolf Optimization (GWO) and Grasshopper Optimization Algorithm (GOA) (GWO-GOA) which optimizes generating power of augmented generators using the bus system. The proposed GWO-GOA method is the hybridization of two methods such as GWO and GOA, which aspires to manage the congestion through minimized rescheduling cost. Furthermore, the proposed technique evaluates its performance with the other existing techniques based on rescheduling stratagem regarding the analysis of cost it shows the effectiveness of proposed methods over other existing algorithms.
Fariborz Zaeim-Kohan, Hadi Razmi, Hasan Doagou-Mojarrad,"Multi-objective transmission congestion management considering demand response programs and generation rescheduling", Applied Soft Computing, Volume 70, September 2018, Pages 169-181.
Aishvarya Narain, S. K. Srivastava, S. N. Singh,"Congestion management approaches in restructured power system: Key problems and challenges", The Electricity Journal, Volume 33, Problem 3, April 2020.
Sadhan Gope, Arup Kumar Goswami, Prashant Kumar Tiwari, Subhasish Deb," Rescheduling of real power for congestion management with integration of pumped storage hydro unit using firefly algorithm", Internationa
S. S. Reddy, "Multi-Objective Based Congestion Management Using Generation Rescheduling and Load Shedding," in IEEE Transactions on Power Systems, vol. 32, no. 2, pp. 852-863, March 2017.
S. Verma and V. Mukherjee, "Optimal real power rescheduling of generators for congestion management using a novel ant lion optimiser," in IET Generation, Transmission & Distribution, volume. 10, number. 10, page no. 2548-2561, 7 7 2016.
M. Mahmoudian Esfahani and G. R. Yousefi, "Real Time Congestion Management in Power Systems Considering Quasi-Dynamic Thermal Rating and Congestion Clearing Time," in IEEE Transactions on Industrial Informatics, volume. 12, number. 2, page no. 745-754, April 2016.
Yesuratnam G, Thukaram D. Congestion management in open access based on relative electrical distances using voltage stability criteria. Electr Power Syst Res 2007;77:1608–18.
Kumar A, Srivastava SC, Singh SN. Congestion management in competitive power market: a bibliographical survey. Electr Power Syst Res 2005;76:153–64.
Yu Chien-Ning, Ilic MD. Congestion clusters-based markets for transmission management. IEEE Power Eng Soc 1999;2:821–32.
Kumar A, Srivastava SC, Singh SN. A zonal congestion management approach using real and reactive power rescheduling. IEEE Trans Power Syst 2004;19:554–62.
Deb Subhasish, Gope Sadhan, Goswami Arup Kumar. Congestion management considering wind energy sources using evolutionary algorithm. Electric Power Comp Syst 2015;43:723–32.
Naresh Kumar Yadav, " Rescheduling-based congestion management scheme using particle swarm optimization with distributed acceleration constants", Soft Computing, pp. 1-11, 2017.
S. Mirjalili, S. M. Mirjalili, and A. Lewis, “Grey wolf optimizer,” Advances in engineering software, volume. 69, page no. 46–61, 2014.
S. Saremi, S. Mirjalili, and A. Lewis, “Grasshopper optimisation algorithm: theory and application,” Advances in Engineering Software, volume. 105, page no. 30–47, 2017.
W.Brajula and M.Bibin Prasad,"ODFF Opposition and Dimension based Firefly for Optimal Reactive Power Dispatch",Journal of Computational Mechanics, Power System and Control (JCMPS),Volume 1, Issue 1, October 2018.
Vinolin V and S Vinusha,"Enhancement in Biodiesel Blend with the Aid of Neural Network and SAPSO",Journal of Computational Mechanics, Power System and Control (JCMPS),Volume 1, Issue 1, October 2018.
Buy article PDF