i-manager Publications

Power Transmission System Stability using SSSC Series Facts Device with Heuristic and Hybrid Heuristic Optimization Techniques

R. Siva Subramanyam Reddy*

Department of Electrical Engineering, Srikalahasteeswara Institute of Technology (SKIT), Srikalahasti, Andhra Pradesh, India.

Periodicity:July - September'2023
DOI : https://doi.org/10.26634/jee.17.1.20101

Abstract

This paper presents a hybrid algorithm using a Hybrid Firefly and Particle Swarm Optimization (HFPSO) algorithm to determine the optimal placement of SSSC devices. A multi-objective function is used to increase voltage stability, voltage profile and minimize overall power losses of the transmission system. At first, PSO algorithm is used to find the optimal SSSC location and further more to reduce the power losses and voltage profile enhancement to overcome the sub-optimal operation of existing algorithms. The HFPSO algorithm is used to determine the optimal placement of SSSC series FACTS device and verification of the proposed algorithm was achieved on standard IEEE 14-bus and IEEE 30-bus transmission systems in the MATLAB environment. Comprehensive simulation results of two different cases show that the proposed HFPSO demonstrates significant improvements over other existing algorithms to enhance voltage stability and reducing active and reactive power losses in electrical power transmission systems.

Keywords

Active Power Losses, FACTS, Hybrid HFPSO, PSO, Reactive Power Losses, Voltage Stability, SSSC.

How to Cite this Article?

Reddy, S. S. (2023). Power Transmission System Stability using SSSC Series Facts Device with Heuristic and Hybrid Heuristic Optimization Techniques. i-manager’s Journal on Electrical Engineering, 17(1), 45-53. https://doi.org/10.26634/jee.17.1.20101

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, UK.

[3]. Al-Wazni, H. M., & Al-Kubragyi, S. A. (2022). A hybrid algorithm for voltage stability enhancement of distribution systems. International Journal of Electrical and Computer Engineering (IJECE), 12(1), 50-61.

[4]. Aydilek, I. B. (2018). A hybrid firefly and particle swarm optimization algorithm for computationally expensive numerical problems. Applied Soft Computing, 66, 232-249.

[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, February). Optimal placement of facts devices. In International Conference on Energy & Environment (pp. 407- 411).

[8]. Dutta, S., Roy, P. K., & Nandi, D. (2015). Optimal location of UPFC controller in transmission network using hybrid chemical reaction optimization algorithm. International Journal of Electrical Power & Energy Systems, 64, 194-211.

[9]. 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.

[10]. Engelbrecht, A. P. (2007). Computational Intelligence: An Introduction. John Wiley & Sons, England. [11]. 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.

[12]. 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.

[13]. 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, 3. IEEE.

[14]. Jeong, H. M., Lee, H. S., & Park, J. H. (2009, October). Application of parallel particle swarm optimization on power system state estimation. In 2009 Transmission & Distribution Conference & Exposition: Asia and Pacific (pp. 1-4). IEEE.

[15]. Kundur, P. (1994). Power System Stability and Control. McGrawHill, New York.

[16]. Lee, K. Y., & El-Sharkawi, M. A. (2008). Modern Heuristic Optimization Techniques: Theor y and Applications to Power Systems. Wiley-IEEE Press.

[17]. 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.

[18]. Murali, D., & Rajaram, M. (2010). Active and reactive power flow control using FACTS devices. International Journal of Computer Applications, 9(8), 45-50.

[19]. 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.

[20]. Narain, G., Hingorani, & Gyugyi, L. (2000). Understanding FACTS: Concepts and Technology of Flexible AC Transmission Systems. Wiley-IEEE Press.

[21]. Povh, D. (2000, January). Modeling of FACTS in power system studies. In 2000 IEEE Power Engineering Society Winter Meeting Conference Proceedings, 2, 1435-1439. IEEE.

[22]. 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.

[23]. Rao, S. S. (2009). Engineering Optimization: Theory and Practice. John Wiley & Sons, New Jersey.

[24]. Reddy, R. S. S. (2020). Optimal placement of UPFC using Heuristic Techniques. i-manager's Journal on Electrical Engineering, 14(2), 26-33.

[25]. Samy, M. M., & Barakat, S. (2019, December). Hybrid invasive weed optimization-particle swarm optimization algorithm for biomass/PV micro-grid power system. In 2019 21st international Middle East power systems conference(MEPCON) (pp.377-382). IEEE.

[26]. 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.

[27]. Song, Y. H., & Johns, A. T. (1999). Flexible AC Transmission Systems (FACTS). Institution of Electric Engineers, London, UK.

If you have access to this article please login to view the article or kindly login to purchase the article

Single Article

	North Americas,UK, Middle East,Europe		India	Rest of world
	USD	EUR	INR	USD-ROW
Online	15	15

ADD TO CART

Options for accessing this content:

If you would like institutional access to this content, please recommend the title to your librarian.
If you already have i-manager's user account: Login above and proceed to purchase the article.
New Users: Please register, then proceed to purchase the article.