Optimal Evaluation of Available Transfer Capability of Transmission Line Using Bio-inspired Algorithm for Multiple Transactions in Deregulated Electrical Power Network
International Journal of Energy and Power Engineering
Volume 4, Issue 5-1, September 2015, Pages: 43-47
Received: Mar. 24, 2015;
Accepted: May 28, 2015;
Published: Sep. 2, 2015
Views 3705 Downloads 72
Makwana Umesh L., Department of Electrical Engineering, The M. S. University of Baroda, Vadodara, India
Joshi S. K., Department of Electrical Engineering, The M. S. University of Baroda, Vadodara, India
In restructured Electrical Power network the transmission line gets congested by multiple transactions over the line. In such scenario the operator must analyze optimum value of ATC for said transaction. When the transactions between the transmission lines are carried out for a speciﬁc destination node/source node pair in a system, the Independent System operator (ISO) must calculate the available transfer capacity (ATC) of that node/source pair. This paper proposes a comprehensive approach to find out the optimized value of ATC for given transaction using Genetic Algorithm. With the help of Genetic algorithm transactions between pair of node can be generated randomly and can be used to calculate optimized value of ATC for each transaction. With the help of this method ISO can declare the value of transacted power from source to destination bus for optimum value of ATC. The objective function is to maximize the power flow capability of transmission line with safest transaction. The solution to the optimization problem gives the amount of accepted requests and available capability of transmission line that could result in a safe and reliable transmission system. The proposed method is applied to an IEEE 30 bus test system.
Makwana Umesh L.,
Joshi S. K.,
Optimal Evaluation of Available Transfer Capability of Transmission Line Using Bio-inspired Algorithm for Multiple Transactions in Deregulated Electrical Power Network, International Journal of Energy and Power Engineering. Special Issue: Energy Systems and Developments.
Vol. 4, No. 5-1,
2015, pp. 43-47.
A.R Abhayankar and prof.S.A.Khaparde, “Introduction to deregulation in power industry”
G.C.Ejebe, j.Tong, J.G.Waight, J.G.Frame, X. Wang and W.F. Tinney , “Available transfer capability Calculations” PE-321-PWRS-0-10-97, IEEE  Mark H. Gravener, Chika Nwankpa, Tai-sim Yeoh , ATC computational issues, Proceedings of 32nd Hawali International Conference on system Sciences-1999
R.D.Christie, B.F.Wollenberg and I.Wangensteen, “Transmission Management in deregulated environment, Proceeding of IEEE, 88, No.2, pp. 449-451, Feb 2000.
G. Hamoud, “Assessment of Available Transfer capability of transmission system”, IEEE transaction on Power system vol-15, No-1, pp. 27-32, February, 2000.
Mohamed Shaaban, Yaxin Ni and Felix F.Wu, “Transfer Capability Computation in Deregulated Power systems”, Proceddings of 32nd Hawali International Conference on system Sciences-2000.
Sarika Kushalani, S.A Khaparde and S.A. Soman, “Congestion management in the Emerging Energy Market Structure” , Cigre Regional Meeting on Bulk Power Transmission System Integration in Developing countries, pp. VII-16 to 24 New Delhi Nov.2001
Dr Sanjay Gupta Senior Consultant Energy and Utilities Group Infosys Technologies Limited Bangalore , India , “Formation of Independent System Operator (ISO)” , India
Abhijit chakravarti and Sunita Haldar, “Power system Analysis”
Ashwani Kumar and S. C. Srivastav , “Power Transaction Allocation in a Deregulated Market using AC Power Transfer Distribution Factors” , Cigre Regional Meeting on Bulk Power Transmission System Integration in Developing countries, pp. VIII-9 to 17 New Delhi Nov.2001
N.P. Padhy, “Artificial Intelligence and Intelligent Systems”, Oxford University Press, 2005
Kalyanmoy Deb, “Multiobjective Optimization Using Evolutionary Algorithms”, John Wiley & Sons, 2013
E. Zitzler, K. Deb, and L. Thiele, “Comparison of multiobjective evolu-tionary algorithms: Empirical results,”Evol. Comput., vol. 8, no. 2, pp. 173–195, Summer 2000
Biman Chakraborty, Probal Chaudhuri, “On The Use of Genetic Algorithm with Elitism in Robust and Nonparametric Multivariate Analysis”, Austrian Journal of statistic, Volume 32 (2003), Number 1&2, pp. 13–2.