References
[1]. Alatas, B. (2010). Chaotic harmony search
algorithms. Applied Mathematics and Computation,
216(9), 2687-2699. https://doi.org/10.1016/j.amc.2010.03.114
[2]. Alatas, B., Akin, E., & Ozer, A. B. (2009). Chaos
embedded particle swarm optimization algorithms.
Chaos, Solitons & Fractals, 40(4), 1715-1734. https://doi.org/10.1016/j.chaos.2007.09.063
[3]. Balachennaiah, P., Suryakalavathi, M., & Nagendra,
P. (2016). Optimizing real power loss and voltage stability
limit of a large transmission network using firefly algorithm.
Engineering Science and Technology, an International
Journal, 19(2), 800-810. https://doi.org/10.1016/j.jestch.2015.10.008
[4]. Devaraj, D., & Roselyn, J. P. (2010). Genetic algorithm based reactive power dispatch for voltage stability
improvement. International Journal of Electrical Power &
Energy Systems, 32(10), 1151-1156. https://doi.org/10.1016/j.ijepes.2010.06.014
[5]. Duman, S., Sönmez, Y. U. S. U. F., Güvenç, U., &
Yörükeren, N. (2012). Optimal reactive power dispatch
using a gravitational search algorithm. IET Generation,
Transmission & Distribution, 6(6), 563-576. https://doi.org/10.1049/iet-gtd.2011.0681
[6]. Esmin, A. A., Lambert-Torres, G., & De Souza, A. Z.
(2005). A hybrid particle swarm optimization applied to
loss power minimization. IEEE Transactions on Power
Systems, 20(2), 859-866. https://doi.org/10.1109/TPWRS.2005.846049
[7]. Gandomi, A. H., Yang, X. S., Talatahari, S., & Alavi, A.
H. (2013). Firefly algorithm with chaos. Communications
in Nonlinear Science and Numerical Simulation, 18(1),
89-98. https://doi.org/10.1016/j.cnsns.2012.06.009
[8]. Grudinin, N. (1998). Reactive power optimization
using successive quadratic programming method. IEEE
Transactions on Power Systems, 13(4), 1219-1225.
https://doi.org/10.1109/59.736232
[9]. Khan, F., Sunbul, A., Ali, M. Y., Abdei-Gawad, H.,
Rahnamayan, S., & Sood, V. K. (2018, July). Maximum
power point tracking in photovoltaic farms using DE and
PSO algorithms: A comparative study. In 2018 IEEE
Congress on Evolutionary Computation (CEC) (pp. 1-9).
IEEE. https://doi.org/10.1109/CEC.2018.8477797
[10]. Lee, K. Y., Park, Y. M., & Ortiz, J. L. (1984). Optimal real
and reactive power dispatch. Electric Power Systems
Research, 7(3), 201-212. https://doi.org/10.1016/0378-7796(84)90004-X
[11]. Li-Jiang, Y., & Tian-Lun, C. (2002). Application of
chaos in genetic algorithms. Communications in
Theoretical Physics, 38(2), 168-172. https://doi.org/10.1088/0253-6102/38/2/168
[12]. Mahadevan, K., & Kannan, P. S. (2010).
Comprehensive learning particle swarm optimization for
reactive power dispatch. Applied Soft Computing, 10(2),
641-652. https://doi.org/10.1016/j.asoc.2009.08.038
[13]. Mouassa, S., Bouktir, T., & Salhi, A. (2017). Ant lion optimizer for solving optimal reactive power dispatch
problem in power systems. Engineering Science and
Technology, an International Journal, 20(3), 885-895.
https://doi.org/10.1016/j.jestch.2017.03.006
[14]. Niknam, T., Narimani, M. R., Aghaei, J., &
Azizipanah-Abarghooee, R. (2012). Improved particle
swarm optimisation for multi-objective optimal power flow
considering the cost, loss, emission and voltage stability
index. IET Generation, Transmission & Distribution, 6(6),
515-527. https://doi.org/10.1049/iet-gtd.2011.0851
[15]. Pluhacek, M., Senkerik, R., & Davendra, D. (2015).
Chaos particle swarm optimization with eensemble of
chaotic systems. Swarm and Evolutionary Computation,
25, 29-35. https://doi.org/10.1016/j.swevo.2015.10.008
[16]. Pluhacek, M., Senkerik, R., Viktorin, A., & Kadavy, T.
(2017, June). PSO with attractive search space border
points. In International Conference on Artificial
Intelligence and Soft Computing (pp. 665-675). Springer,
Cham. https://doi.org/10.1007/978-3-319-59060-8_60
[17]. Pluhacek, M., Senkerik, R., Viktorin, A., Kadavy, T., &
Zelinka, I. (2018, July). Chaos driven PSO with attractive
search space border points. In 2018 IEEE Congress on
Evolutionary Computation (CEC) (pp. 1-6). IEEE.
https://doi.org/10.1109/CEC.2018.8477960
[18]. Polprasert, J., Ongsakul, W., & Dieu, V. N. (2016).
Optimal reactive power dispatch using improved
pseudo-gradient search particle swarm optimization.
Electric Power Components and Systems, 44(5), 518-532.
https://doi.org/10.1080/15325008.2015.1112449
[19]. Rajan, A., & Malakar, T. (2015). Optimal reactive
power dispatch using hybrid Nelder–Mead simplex based
firefly algorithm. International Journal of Electrical Power
& Energy Systems, 66, 9-24. https://doi.org/10.1016/j.ijepes.2014.10.041
[20]. Roy, P. K., & Paul, C. (2015). Optimal power flow using
krill herd algorithm. International Transactions on
Electrical Energy Systems, 25(8), 1397-1419. https://doi.org/10.1002/etep.1888
[21]. Saddique, M. S., Bhatti, A. R., Haroon, S. S., Sattar, M.
K., Amin, S., Sajjad, I. A., ... & Rasheed, N. (2020). Solution
to optimal reactive power dispatch in transmission system using meta-heuristic techniques-Status and
technological review. Electric Power Systems Research,
178, 106031. https://doi.org/10.1016/j.epsr.2019.106031
[22]. Sayah, S., & Hamouda, A. (2019). Optimal power
flow solution of integrated AC-DC power system using
enhanced differential evolution algorithm. International
Transactions on Electrical Energy Systems, 29(2), e2737.
https://doi.org/10.1002/etep.2737
[23]. Singh, H., & Srivastava, L. (2016). Recurrent multiobjective
differential evolution approach for reactive
power management. IET Generation, Transmission &
Distribution, 10(1), 192-204. https://doi.org/10.1049/ietgtd.2015.0648
[24]. Srivastava, L., & Singh, H. (2015). Hybrid multi-swarm
particle swarm optimisation based multi-objective
reactive power dispatch. IET Generation, Transmission &
Distribution, 9(8), 727-739.
[25]. Sun, D. I., Ashley, B., Brewer, B., Hughes, A., & Tinney,
W. F. (1984). Optimal power flow by Newton approach.
IEEE Transactions on Power Apparatus and Systems,
103(10), 2864-2880. https://doi.org/10.1109/TPAS.1984.318284
[26]. Taher, M. A., Kamel, S., Jurado, F., & Ebeed, M.
(2019). An improved moth-flame optimization algorithm
for solving optimal power flow problem. International
Transactions on Electrical Energy Systems, 29(3), e2743.
https://doi.org/10.1002/etep.2743
[27]. Thukaram, B. D., & Parthasarathy, K. (1996). Optimal
reactive power dispatch algorithm for voltage stability
improvement. International Journal of Electrical Power &
Energy Systems, 18(7), 461-468. https://doi.org/10.1016/0142-0615(96)00004-X
[28]. Thukaram, D., & Yesuratnam, G. (2006).
Comparison of optimum reactive power schedule with
different objectives using LP technique. International
Journal of Emerging Electric Power Systems, 7(3), 1-29.
[29]. Ting, T. O., Wong, K. P., & Chung, C. Y. (2008). Hybrid
constrained genetic algorithm/particle swarm optimisation
load flow algorithm. IET Generation, Transmission &
Distribution, 2(6), 800-812.
[30]. Tripathy, M., & Mishra, S. (2006, December).
Optimizing voltage stability limit and real power loss in a
large power system using bacteria foraging. In 2006
International Conference on Power Electronic, Drives
and Energy Systems (pp. 1-6). IEEE. https://doi.org/10.1109/PEDES.2006.344303
[31]. Wu, B., & Fan, S. H. (2011, July). Improved artificial
bee colony algorithm with chaos. In International Workshop
on Computer Science for Environmental Engineering and
EcoInformatics (pp. 51-56). Springer, Berlin, Heidelberg.
https://doi.org/10.1007/978-3-642-22694-6_8
[32]. Wu, X., Piao, Z., Liu, Y., & Luo, H. (2010, July). Reactive
power and voltage control based on improved particle
swarm optimization in power system. In 2010 8th World
Congress on Intelligent Control and Automation (pp.
5291-5295). IEEE. https://doi.org/10.1109/WCICA.2010.5554836
[33]. Zhu, J. Z., & Xiong, X. F. (2003). Optimal reactive
power control using modified interior point method.
Electric Power Systems Research, 66(2), 187-192.
https://doi.org/10.1016/S0378-7796(03)00078-6
