i-manager Publications

Voltage Stability and Power Loss Minimization with UPFC using Heuristic and Hybrid Heuristic Methods

R. Siva Subramanyam Reddy*

Department of Electrical Engineering, Srikalahasteeswara Institute of Technology Sciences, Srikalahasti, Andhra Pradesh, India.

Periodicity:July - December'2023
DOI : https://doi.org/10.26634/jcir.11.2.20073

Abstract

Present-day power systems have highly complex and stressed operating conditions owing to insufficient reactive power to meet the required power demand. This leads to increased real power and reactive power losses, as well as voltage instability within a power system. To achieve the flexible operation of the power system, Flexible Alternating Current Transmission System (FACTS) devices have been employed. The optimal location of FACTS devices influences the system's performance and significantly affects line/bus reactive power flows. Consequently, the line or bus voltage profiles have been improved, leading to a reduction in power losses. Particle Swarm Optimization (PSO) heuristic methods and HFPSO Hybrid heuristic methods have been used to identify the weakest bus/branch for the suitable placement of UPFC devices, improving voltage stability. This paper discusses a more significant reduction in power losses in a MATLAB environment. Flexible Alternating Current Transmission System (FACTS) devices address reactive power challenges in power systems and enhance operational flexibility. Strategic placement using Particle Swarm Optimization (PSO) and HFPSO Hybrid methods identifies weak points, optimizing Unified Power Flow Controller (UPFC) placement for improved voltage stability. UPFC integration strategically reduces real and reactive power losses, improving power transmission efficiency. This enhances line and bus voltage profiles, addressing instability and significantly reducing overall power losses. The paper offers a detailed analysis of the power system, highlighting the synergy between FACTS devices, heuristic optimization, and power loss reduction. Simulations in MATLAB validate the proposed methodology, demonstrating a noteworthy improvement in power system performance.

Keywords

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

How to Cite this Article?

Rachapalli, S. S. R. (2023). Voltage Stability and Power Loss Minimization with UPFC using Heuristic and Hybrid Heuristic Methods. i-manager’s Journal on Circuits and Systems, 11(2), 1-10. https://doi.org/10.26634/jcir.11.2.20073

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]. Ali, Q. W., & ul Asar, A. (2013). Smart power transmission system using FACTS device. International Journal of Applied Power Engineering (IJAPE), 2(2), 61-70.

[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]. Dheebika, S. K., & Kalaivani, R. (2014, March). Optimal location of SVC, TCSC and UPFC devices for voltage stability improvement and reduction of power loss using genetic algorithm. In 2014 International Conference on Green Computing Communication and Electrical Engineering (ICGCCEE) (pp. 1-6). IEEE.

[7]. Durairaj, S., & Fox, B. (2008, February). Optimal placement of facts devices. In International Conference on Energy & Environment, (pp. 407-411).

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

[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.

[10]. 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]. 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.

[13]. Kumar, B. V., & Ramaiah, V. (2020). Enhancement of dynamic stability by optimal location and capacity of UPFC: A hybrid approach. Energy, 190, 116464.

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

[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). Steadystate and dynamic models of unified power flow controller (UPFC) for power system studies. IEEE Transactions on Power Systems, 11(4), 1937-1943.

[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. (2019). Engineering Optimization Theory and Practice. John Wiley & Sons.

[24]. Reddy, R. (2020). Optimal placement of UPFC using heuristic techniques. Journal on Electrical Engineering, 14(2).

[25]. Reddy, R. S. S. (2021). Power loss minimization in a transmission system by optimally identifying various facts devices using HGAPSO Heuristic method. i-manager's Journal on Future Engineering and Technology, 16(3), 30-37.

[26]. Sahoo, A. K., Dash, S. S., & Thyagarajan, T. (2007). Modeling of STATCOM and UPFC for power system steady state operation and control. In IET-UK International Conference on Information and Communication Technology in Electrical Sciences (ICTES 2007) (pp. 458-463).

[27]. 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.

[28]. 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.

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

Voltage Stability and Power Loss Minimization with UPFC using Heuristic and Hybrid Heuristic Methods

Abstract

Keywords

How to Cite this Article?

References

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

Purchase Instant Access

Options for accessing this content:

	North Americas,UK, Middle East,Europe		India	Rest of world
	USD	EUR	INR	USD-ROW
Pdf	35	35	200	20
Online	35	35	200	15
Pdf & Online	35	35	400	25