Planet Search algorithm based GSA Approaches to optimal Placement of UPFC Considering transient Stability margin and voltage stability

  • Mohamadreza Mousavi Khademi Feiz University
  • Morteza Mousavi Khademi Islamic Azad University
  • Mohadeseh Ghasemzadeh Islamic Azad University, Hormoz,
Keywords: : Unified power flow controller, Optimal Placement, Transient Stability, Planet Search algorithm


The present paper proposes a novel search algorithm to optimal placement of UPFC by modification of gravity search algorithm (GSA). In this regard, effect of transient stability margin and voltage stability margin are taken in to account which is neglected in previous studies. Also, three constrain limitation such as power loss, fuel cost and UPFC cost is considered during the optimization. Hence, the GSA is modified by proposed method (PM) which is named planet search algorithm (PSA) to improve Accuracy and Speed of GSA algorithm. In order to validate the performance of proposed method, comprehensive case study has been conducted on IEEE26-bus test system and Simulation results is compared with  Primary GSA,  PSO algorithm and genetic algorithm. The comparison results illustrate ability of the proposed method to fast and accurate placement of UPFC.


[1] J. G. Singh, H. W. Qazi, and M. Ghandhari, “Load curtailment minimization by optimal placement of Unified Power Flow Controller,” International Transactions on Electrical Energy Systems, 2016.
[2] J. de Dieu Nguimfack-Ndongmo, G. Kenné, R. Kuate-Fochie, A. Cheukem, H. B. Fotsin, and F. Lamnabhi-Lagarrigue, “A simplified nonlinear controller for transient stability enhancement of multimachine power systems using SSSC device,” International Journal of Electrical Power & Energy Systems, vol. 54, pp. 650-657, 2014.
[3] M. Basiri-Kejani, and E. Gholipour, “Two-level procedure based on HICAGA to determine optimal number, locations and operating points of SVCs in Isfahan–Khuzestan power system to maximise loadability and minimise losses, TVD and SVC installation cost,” IET Generation, Transmission & Distribution, 2016.
[4] A. R. Jordehi, “Brainstorm optimisation algorithm (BSOA): An efficient algorithm for finding optimal location and setting of FACTS devices in electric power systems,” International Journal of Electrical Power & Energy Systems, vol. 69, pp. 48-57, 2015.
[5] L. Canbing, X. Liwu, C. Yijia, Z. Qianlong, F. Baling, T. Yi, and Z. Long, “Optimal allocation of multi-type FACTS devices in power systems based on power flow entropy,” Journal of Modern Power Systems and Clean Energy, vol. 2, no. 2, pp. 173-180, 2014.
[6] I. M. Wartana, J. G. Singh, W. Ongsakul, K. Buayai, and S. Sreedharan, "Optimal placement of UPFC for maximizing system loadability and minimize active power losses by NSGA-II." pp. 1-8.
[7] S. H. Kiran, C. Subramani, S. Dash, M. Arunbhaskar, and M. Jagadeeshkumar, "Particle swarm optimization algorithm to find the location of facts controllers for a transmission line." pp. 1-5.
[8] A. L. Ara, A. Kazemi, and S. N. Niaki, “Multiobjective optimal location of FACTS shunt-series controllers for power system operation planning,” IEEE Transactions on Power Delivery, vol. 27, no. 2, pp. 481-490, 2012.
[9] B. Hu, K. Xie, and R. Karki, "Reliability evaluation of bulk power systems incorporating UPFC." pp. 259-264.
[10] F. M. Albatsh, S. Ahmad, S. Mekhilef, H. Mokhlis, and M. Hassan, “Optimal placement of unified power flow controllers to improve dynamic voltage stability using power system variable based voltage stability indices,” PloS one, vol. 10, no. 4, pp. e0123802, 2015.
[11] A. R. Bhowmik, A. K. Chakraborty, and P. Das, "Placement of UPFC for minimizing active power loss and total cost function by PSO algorithm." pp. 217-220.
[12] A. R. Jordehi, “Particle swarm optimisation (PSO) for allocation of FACTS devices in electric transmission systems: A review,” Renewable and Sustainable Energy Reviews, vol. 52, pp. 1260-1267, 2015.
[13] R. Chang, T. Kuo, and T. Saha, "Mixed-integer method for optimal UPFC placement based on line flow-based equations." pp. 1-6.
[14] M. Zarghami, and M. L. Crow, "Optimal placement and signal selection for wide-area controlled UPFCs for damping power system oscillations." pp. 1-6.
[15] G. I. Rashed, Y. Sun, K. A. Rashed, and H. Shaheen, "Optimal location of unified power flow controller by differential evolution algorithm considering transmission loss reduction." pp. 1-6.
[16] A. Laifa, and M. Boudour, "Optimal placement and parameter settings of unified power flow controller device using a perturbed particle swarm optimization." pp. 205-210.
[17] T. Nireekshana, G. K. Rao, and S. S. N. Raju, "Incorporation of unified power flow controller model for optimal placement using particle swam optimization technique." pp. 209-214.
[18] M. Behshad, A. Lashkarara, and A. Rahmani, "Optimal location of UPFC device considering system loadability, total fuel cost, power losses and cost of installation." pp. 231-237.
[19] D. Jananisri, M. Kalyanasundaram, and B. Gopinath, "Damping of power system oscillations using unified power flow controller." pp. 528-533.
[20] P. Kundur, N. J. Balu, and M. G. Lauby, Power system stability and control: McGraw-hill New York, 1994.
[21] L. S. Moulin, A. A. Da Silva, M. El-Sharkawi, and R. J. Marks, “Support vector machines for transient stability analysis of large-scale power systems,” IEEE Transactions on Power Systems, vol. 19, no. 2, pp. 818-825, 2004.
[22] J. Sarker, and S. Goswami, “Solution of multiple UPFC placement problems using gravitational search algorithm,” International Journal of Electrical Power & Energy Systems, vol. 55, pp. 531-541, 2014.
[23] H. Abdelsalam, G. Aly, M. Abdelkrim, and K. Shebl, "Optimal location of the unified power flow controller in electrical power systems." pp. 41-46.
How to Cite
Mousavi Khademi, M., Mousavi Khademi, M., & Ghasemzadeh, M. (2021). Planet Search algorithm based GSA Approaches to optimal Placement of UPFC Considering transient Stability margin and voltage stability. Majlesi Journal of Energy Management, 9(1), 33-38. Retrieved from