Optimal placement and sizing of FACTS devices based on Autonomous Groups Particle Swarm Optimization technique

Journal title

Archives of Electrical Engineering




vol. 70


No 1


Shehata, Ahmed A. : Institute of Energy, Peter the Great Saint-Petersburg Polytechnic University, Russia ; Refaat, Ahmed : Electrical Engineering Department, Port-Said University, Egypt ; Ahmed, Mamdouh K. : Institute of Energy, Peter the Great Saint-Petersburg Polytechnic University, Russia ; Korovkin, Nikolay V. : Institute of Energy, Peter the Great Saint-Petersburg Polytechnic University, Russia



active power losses minimization ; AGPSO ; FACTS ; MFO ; PSO ; SVC

Divisions of PAS

Nauki Techniczne




Polish Academy of Sciences


[1] Vera S.M., Nuez I., Hernandez-Tejera M., A FACTS devices allocation procedure attending to load share, Energies, vol. 13, no. 8 (2020), DOI: 10.3390/en13081976.
[2] Singh B., Kumar R., A comprehensive survey on enhancement of system performances by using different types of FACTS controllers in power systems with static and realistic load models, Energy Reports, vol. 6, pp. 55–79 (2020).
[3] Shehata A.A., Ahmed M.K., State estimation accuracy enhancement for optimal power system steady state modes, IOP Conference Series: Materials Science and Engineering, vol. 643 (2019), DOI: 10.1088/1757-899X/643/1/012049.
[4] Sreedharan S., Joseph T., Joseph S., Chandran C.V., Vishnu J., Das V., Power system loading margin enhancement by optimal STATCOM integration – A case study, Computers and Electrical Engineering, vol. 81, no. 106521 (2019).
[5] Al Ahmad A., Sirjani R., Optimal placement and sizing of multi-type FACTS devices in power systems using metaheuristic optimisation techniques: An updated review, Ain Shams Engineering Journal (2019), DOI: 10.1016/j.asej.2019.10.013.
[6] Belazzoug M., Boudour M., Sebaa K., FACTS location and size for reactive power system compensation through the multi-objective optimization, Archives of Control Sciences, vol. 20, no. 4, pp. 473–489 (2010).
[7] Kotsampopoulos P., Georgilakis P., Lagos D.T., Kleftakis V., Hatziargyriou N., FACTS providing grid services: applications and testing, Energies, vol. 12, no. 13 (2019), DOI: 10.3390/en12132554
[8] Kavitha K.,Neela R., Optimal allocation of multi-type FACTS devices and its effect in enhancing system security using BBO, WIPSO & PSO, Journal of Electrical Systems and Information Technology, vol. 5, no. 3, pp. 777–793 (2018).
[9] Shehata A.A., Korovkin N.V., An accuracy enhancement of optimization techniques containing fractional-polynomial relationships, 2020 International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE), pp. 1–5 (2020).
[10] Dash S.P., Subhashini K.R., Satapathy J.K., Optimal location and parametric settings of FACTS devices based on JAYA blended moth flame optimization for transmission loss minimization in power systems, Microsystem Technologies, vol. 26, no. 5, pp. 1543–1552 (2020).
[11] Saurav S., Gupta V.K., Mishra S.K., Moth-flame optimization based algorithm for FACTS devices allocation in a power system, 2017 International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS), pp. 1–7 (2017).
[12] Jyotshna D.K., Madhuri N., Optimal allocation of SVC for enhancement of voltage stability using harmony search algorithm, International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, vol. 4, no. 7, pp. 6693–6701 (2015).
[13] Ravi K., Rajaram M., Optimal location of FACTS devices using Improved Particle Swarm Optimization, International Journal of Electrical Power and Energy Systems, vol. 49, pp. 333–338 (2013).
[14] Mathad V.G., Ronad B.G., Jangamshetti S.H., Review on comparison of FACTS controllers for power system stability enhancement, International Journal of Scientific and Research Publications, vol. 3, no. 3, pp. 2250–3153 (2013).
[15] Murali D., Rajaram M., Reka N., Comparison of FACTS devices for power system stability enhancement, International Journal of Computer Applications, vol. 8, no. 4, pp. 30–35 (2010).
[16] Rezaee J.A., 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).
[17] Shaheen A.M., Spea S.R., Farrag S.M., Abido M.A., A review of meta-heuristic algorithms for reactive power planning problem, Ain Shams Engineering Journal, vol. 9, no. 2, pp. 215–231 (2018).
[18] Suresh V., Janik P., Jasinski M., Metaheuristic approach to optimal power flow using mixed integer distributed ant colony optimization, Archives of Electrical Engineering, vol. 69, no. 2, pp. 335–348 (2020).
[19] Benchabira A., Khiat M., A hybrid method for the optimal reactive power dispatch and the control of voltages in an electrical energy network, Archives of Electrical Engineering, vol. 68, no. 3, pp. 535–551 (2019).
[20] Ziyu T., Dingxue Z., A modified particle swarm optimization with an adaptive acceleration coefficient, 2009 Asia-Pacific Conference on Information Processing, vol. 2, pp. 330–332 (2009).
[21] Mirjalili S., Lewis A., Sadiq A.S., Autonomous particles groups for particle swarm optimization, Arabian Journal for Science and Engineering, vol. 39, no. 6, pp. 4683–4697 (2014). [22] The IEEE 14 and 30 Bus Test Systems, available online at:
[23] Cui Z., Zeng J., Yin Y., An improved PSO with time-varying accelerator coefficients, 2008 8th International Conference on Intelligent Systems Design and Applications, vol. 2, pp. 638–643 (2008).
[24] Bao G.Q., Mao K.F., Particle swarmoptimization algorithm with asymmetric time varying acceleration coefficients, 2009 IEEE International Conference on Robotics and Biomimetics (ROBIO), no. 3, pp. 2134–2139 (2009).
[25] Mirjalili S., Moth-flame optimization algorithm: a novel nature-inspired heuristic paradigm, Knowledge-Based Systems, vol. 89, pp. 228–249 (2015).






DOI: 10.24425/aee.2021.136059


Archives of Electrical Engineering; 2021; vol. 70; No 1; 161-172