Optimal Placement of UPFC using Heuristic Techniques

R. Siva Subramanyam Reddy*
Department of Electrical and Electronics Engineering, Srikalahasteeswara Institute of Technology, Srikalahasti, Andhra Pradesh, India.
Periodicity:October - December'2020
DOI : https://doi.org/10.26634/jee.14.2.17865

Abstract

Present-day power system has highly complex and stressed operating condition owing to insufficient reactive power for meeting the required power demand. This increases the real power and reactive power losses and voltage instability that occurs in a power system. To attain the malleable operation of the power system, FACTS (Flexible Alternating Current Transmission System) devices have been used. Optimal location of FACTS devices influences the performance of the system and majorly affects the line/bus reactive power flows and hence with this effect, the line/bus voltage profiles has been improved and further the power losses are reduced. Genetic Algorithm (GA), Particle Swarm Optimization (PSO) and GAPSO Hybrid methods have been used for identifying the weakest bus/branch for suitable placement of UPFC device to improve the voltage stability. More significant reduction of the power losses in a MATLAB environment have been discussed in this paper.

Keywords

Active Power Losses, FACTS, Hybrid GA-PSO, GA, PSO, Reactive Power Losses, Voltage Stability, UPFC.

How to Cite this Article?

Reddy, R. S. S. (2020). Optimal Placement of UPFC using Heuristic Techniques. i-manager's Journal on Electrical Engineering, 14(2), 26-33. https://doi.org/10.26634/jee.14.2.17865

References

[1]. Abido, M. A. (2002). Optimal power flow using particle swarm optimization. International Journal of Electrical Power & Energy Systems, 24(7), 563-571.
[2]. Acha, E., Fuerte-Esquivel, C. R., Ambriz-Perez, H., & Angeles-Camacho, C. (2004). FACTS: Modelling and Simulation in Power Networks. John Wiley & Sons.
[3]. Ambriz-Perez, H., Acha, E., & Fuerte-Esquivel, C. R. (2000). Advanced SVC models for Newton-Raphson load flow and Newton optimal power flow studies. IEEE Transactions on Power Systems, 15(1), 129-136.
[4]. Engelbrecht, A. P. (2007). Computational Intelligence: An Introduction. John Wiley and Sons.
[5]. Bansal, R. C. (2005). Optimization methods for electric power systems: An overview. International Journal of Emerging Electric Power Systems, 2(1).
[6]. Chiang, C. L. (2005). Improved genetic algorithm for power economic dispatch of units with valve-point effects and multiple fuels. IEEE Transactions on Power Systems, 20(4), 1690-1699.
[7]. Durairaj, S., & Fox, B. (2008). Optimal placement of FACTS devices. Conference on Energy and Environment (pp.407-411).
[8]. El Metwally, M. M., El Emary, A. A., El Bendary, F. M., & Mosaad, M. I. (2008, March). Optimal allocation of FACTS devices in power system using genetic algorithms. In 2008 12th International Middle-East Power System Conference (pp. 1-4). IEEE.
[9]. Flatabo, N., Ognedal, R., & Carlsen, T. (1990). Voltage stability condition in a power transmission system calculated by sensitivity methods. IEEE Transactions on Power Systems, 5(4), 1286-1293.
[11]. Gerbex, S., Cherkaoui, R., & Germond, A. J. (2003, June). Optimal location of FACTS devices to enhance power system security. In 2003 IEEE Bologna Power Tech Conference Proceedings (Vol. 3, pp. 7-pp). IEEE.
[12]. Hingorani, N. G., & Gyugi, L. (2001). Understanding FACTS – Concepts and technology of flexible AC transmission systems. Wiley-IEEE Press.
[13]. Jeong, H. M., Lee, H. S., &. Park, J. H. (2009). Application of parallel particle swarm optimization on power system state estimation. In Proceedings of Transmission & Distribution Conference & Exposition: Asia and Pacific.
[14]. Kundur, P. (1994). Power system stability and control. New York: McGraw Hill.
[15]. Lee, K. Y., & El-Sharkawi, M. A. (2008). Modern Heuristic Optimization Techniques with Applications to Power Systems. Wiley-IEEE Press.
[16]. Li, N., Xu, Y., & Chen, H. (2000). FACTS-based power flow control in interconnected power system. IEEE Transactions on Power Systems, 15(1), 257-262.
[17]. Murali, D., & Rajaram, M. (2010). Active and reactive power flow control using FACTS devices. International Journal of Computer Applications, 9(8), 45-50.
[18]. Murali, D., Rajaram, M., & Reka, N. (2010). Comparison of FACTS devices for power system stability enhancement. International Journal of Computer Applications, 8(4), 30-35.
[19]. Nabavi-Niaki, A., & Iravani, M. R. (1996). Steady-state and dynamic models of unified power flow controller (UPFC) for power system studies. IEEE Transactions on Power Systems, 11(4), 1937-1943.
[20]. Povh, D. (2000). Modelling of FACTS in power system studies. In Proceedings of IEEE Power Engineering Society Winter Meeting (Vol.2, pp.1435-1439).
[21]. Radman, G., & Raje, R. S. (2007). Power flow model/calculation for power systems with multiple FACTS controllers. Electric Power Systems Research, 77(12), 1521- 1531.
[22]. Rao, S. S. (2019). Engineering optimization: Theory and practice (4th Ed.). John Wiley & Sons.
[23]. Sahoo, A. K., Dash, S. S., & Thyagarajan, T. (2007). Modeling of UPFC and UPFC for power system steady state operation and control. In International Conference on Information and Communication Technology in Electrical Sciences (ICTES 2007).
[24]. Sharma, D., Gaur, P., & Mittal, A. P. (2014). Comparative analysis of hybrid GAPSO optimization technique with GA and PSO methods for cost optimization of an off-grid hybrid energy system. Energy Technology & Policy, 1(1), 106-114.
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