Improving Voltage Stability of Power System by Optimal Location of FACTS Devices Using Bio-Inspired Algorithms
- 1 Department of Information Technology, PSG College of Technology, Coimbatore, India
- 2 Department of Information Technology, PSG College of Technology, Coimbatore, India
Abstract
Power system operations can be optimized using power electronics based FACTS devices. The location of these devices at appropriate transmission line plays a major role in their performance. In this paper, two bio-inspired algorithms are used to optimally locate two FACTS devices: UPFC and STATCOM, so as to reduce the voltage collapse and real power losses. Particle swarm optimization and BAT algorithms are chosen as their behaviour is similar. VCPI index is used as a metric to calculate the voltage collapse scenario of the power system. The algorithm is tested on two benchmark power systems: IEEE 118 and the Indian UPSEB 75 bus system. Performance metrics are compared with the system without FACTS devices. Application of PSO and BAT algorithms to optimally locate the FACTS devices reduces the VCPI index and real power losses in the system.
- Cai, L.J., Erlich, I. and Stamtsis, G. (2004) Optimal Choice and Allocation of FACTS Devices in Deregulated Electricity Market Using Genetic Algorithms. Proceedings of the Power Systems Conference and Exposition, Vol. 1, 201-207. http://dx.doi.org/10.1109/psce.2004.1397562
- Rao, B.V. and Kumar, G.V.N. (2014) Sensitivity Analysis based Optimal Location and Tuning of Static VAR Compensator using Firefly Algorithm. Indian Journal of Science and Technology, 7, 201-1210.
- Balamurali, G. and Thanushkodi, K. (2011) Novel Selection Factors Based Optimal Placement of TCSC Controller in Power Transmission System for Contingencies Using PSO. Proceedings of the International Conference on Sustainable Energy and Intelligent Systems, Chennai, 20-22 July 2011, 352-357. http://dx.doi.org/10.1049/cp.2011.0388
- Tibin, J., Sini, X., Chitra, S. and Cherian, V.I. (2011) PSO Based Optimal Placement and Setting of FACTS Devices for Improving the Performance of Power Distribution System. Bonfring International Journal of Power Systems and Intergrated Circuits, 1, 60-64.
- Shaheen, H.I., Rashed, G.I. and Cheng, S.J. (2008) Optimal Location and Parameters Setting of UPFC based on GA and PSO for Enhancing Power System Security under Single Contingencies. Power and Energy Society General Meeting—Conversion and Delivery of Electrical Energy in the 21st Century, Pittsburgh, 20-24 July 2008, 1-8.
- Saravanan, M., Slochanal, S.M.R., Venkatesh, P. and Abraham, J.P.S. (2007) Application of Particle Swarm Optimization Technique for Optimal Location of FACTS Devices Considering Cost of Installation and System Loadability. Electric Power Systems Research, 77, 276-283. http://dx.doi.org/10.1016/j.epsr.2006.03.006
- Khorsandi, A., Hosseinian, S.H. and Ghazanfari, A. (2013) Modified Artificial Bee Colony Algorithm Based on Fuzzy Multi-Objective Technique for Optimal Power Flow Problem. Electric Power Systems Research, 95, 206-213. http://dx.doi.org/10.1016/j.epsr.2012.09.002
- Balarama Krishna Rao, Y.V., Srinivasa Rao, R. and Reddy, V.V.K. (2014) ABC Algorithm Based Comparative Analysis of Optimal SVC and TCSC Placement to Maximize Loadability. International Journal of Electrical and Electronics Engineering Research (IJEEER), 4, 53-64. http://www.tjprc.org/view-archives.php?year=2014_41_2&id=15&jtype=2&page=8
- Thangalakshmi, S. and Valsalal, P. (2014) Congestion Management by Optimal Allocation of Facts Controllers Using Hybrid Fish Bee Optimization. Journal of Computer Science, 10, 1766-1775.