Vol 7, No 1 (2016) > Electrical, Electronics and Computer Engineering >

Disparity Line Utilization Factor and Galaxy-based Search Algorithm for Advanced Congestion Management in Power Systems

Akanksha Mishra, Venkata Nagesh Kumar Gundavarapu


Abstract: In this paper a new
approach has been used for finding the optimal location for placing the
Interline Power Flow Controller (IPFC). 
The IPFC is used to reduce the system loss and power flow in the heavily
loaded lines and improve stability of the system. Here a new method, the
Disparity Line Utilization Factor (DLUF) is used for determining the optimal
placement of the (IPFC) to control the congestion in transmission lines. The
DLUF ranks the transmission lines in terms of line congestion. The IPFC is
accordingly placed in between the most congested and the least congested line
connected to the same bus. The Galaxy-Based Search Algorithm (GBSA) is used for
the optimal sizing of the IPFC. The results obtained by the proposed algorithm
have been compared with that of the Genetic Algorithm (GA) to ascertain the
effectiveness of the proposed method on the power system performance. The
proposed method is tested on an IEEE 30 bus test system. It has been shown that
by using the GBSA, the tuning of the IPFC further reduces congestion in the
system by about 15%.
Keywords: Congestion; Galaxy-based search algorithm; Interline power flow controller; Line utilization factor; Optimal placement; Optimal tuning

Full PDF Download


Abdel-Moamen, M.A., Padhy, N.P., 2003. Optimal Power Flow Incorporating FACTS Devices-bibliography and Survey. IEEE PES Transmission and Distribution Conference and Exposition, pp. 669-676

Acharya, N., Mithulananthan, N., 2007. Locating Series FACTS Devices for Congestion Management in Deregulated Electricity Markets. Electric Power Systems Research, Volume 77, pp. 352–360

Besharat, H., Taher, S.A., 2008. Congestion Management by Determining Optimal Location of TCSC in Deregulated Power Systems. Electrical Power and Energy Systems, Volume 30, pp.563–568

Hingorani, N.G., Gyugyi, L., 2000. Understanding FACTS: Concepts and Technology of Flexible AC Transmission System. IEEE Press

Hosseini, H.S., 2011. Principal Components Analysis by the Galaxy-based Search Algorithm: A Novel Metaheuristic for Continuous Optimization. Int. J. of Computational Science and Engineering, Volume 6, pp.132–140

Kargarian, B., Falahati, 2012. Multiobjective Optimal Power Flow Algorithm to Enhance Multi-microgrids Performance Incorporating IPFC. 2012 IEEE Power and Energy Society General Meeting, San Diego, CA, 22-26 July 2012, pp.1-6

Kumar, A., Srivastava, S.C., Singh, S.N., 2005. Congestion Management in Competitive Powermarket: A Bibliographical Survey. Electric Power Systems Research, Volume 76, pp.153–164

Mandala, M., Gupta, C.P., 2010. Congestion Management by Optimal Placement of FACTS Device. 2010 Joint International Conference on Power Electronics, Drives and Energy Systems (PEDES) & 2010 Power India, 20-23 December, pp.1-7, New Delhi, India

Minguez, R., Milano, F., Zarate-Minano, R., Conejo, A.J., 2007. Optimal Network Placement of SVC Devices. IEEE Trans. on Power Systems, Volume 22, pp. 1851-1860

Mohamed, K.H., Rama Rao, K.S., Hasan, K.N.Md., 2010. Application of Particle Swarm Optimization and Its Variants to Interline Power Flow Controllers and Optimal power Flow. International Conference on Intelligent and Advanced Systems (ICIAS), 15th-17th June, pp.1-6

Reddy, S.S., Kumari, M.S., Sydulu, M., 2010. Congestion Management in Deregulated Power System by Optimal Choice and Allocation of FACTS Controllers using Multi-objective Genetic Algorithm. IEEE PES Transmission and Distribution Conference and Exposition, Latin America

Singh, S.N., David, A.K., 2001. Optimal Location of FACTS Devices for Congestion Management. Electric Power System Research, Volume 58, pp.71–79.

Teerthana, S., Yokoyama, A., 2004. An Optimal Power Flow Control Method of Power System using Interline Power Flow Controller (IPFC), TENCON 2004. IEEE Region 10 Conference 3, pp. 343-346

Yang X.S., 2008. Nature-inspired Metaheuristic Algorithms, Luniver Press

Zhang, J., 2006. Optimal Power Flow Control for Congestion Management by Interline Power Flow Controller (IPFC). International Conference on Power System Technology, PowerCon 2006, 22-26 October, pp.1-6