@article{(Open Science Index):https://publications.waset.org/pdf/9997438,
	  title     = {Evolutionary Algorithm Based Centralized Congestion Management for Multilateral Transactions},
	  author    = {T. Mathumathi and  S. Ganesh and  R. Gunabalan},
	  country	= {},
	  institution	= {},
	  abstract     = {This work presents an approach for AC load flow based centralized model for congestion management in the forward markets. In this model, transaction maximizes its profit under the limits of transmission line capacities allocated by Independent System Operator (ISO). The voltage and reactive power impact of the system are also incorporated in this model. Genetic algorithm is used to solve centralized congestion management problem for multilateral transactions. Results obtained for centralized model using genetic algorithm is compared with Sequential Quadratic Programming (SQP) technique. The statistical performances of various algorithms such as best, worst, mean and standard deviations of social welfare are given. Simulation results clearly demonstrate the better performance of genetic algorithm over SQP.
},
	    journal   = {International Journal of Electrical and Computer Engineering},
	  volume    = {8},
	  number    = {1},
	  year      = {2014},
	  pages     = {127 - 131},
	  ee        = {https://publications.waset.org/pdf/9997438},
	  url   	= {https://publications.waset.org/vol/85},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 85, 2014},
	}