[1]
A. M. Shaheen, R. A. El-Sehiemy, and S. M. Farrag, Adequate Planning of Shunt Power Capacitors Involving Transformer Capacity Release Benefit, IEEE Syst. J. 12(2018) 373-382.
DOI: 10.1109/jsyst.2015.2491966
Google Scholar
[2]
H. Singh and L. Srivastava, Modified Differential Evolution algorithm for multi-objective VAR management, Int. J. Electr. Power Energy Syst. 55(2014) 731-740.
DOI: 10.1016/j.ijepes.2013.10.015
Google Scholar
[3]
A. M. Shaheen, R. A. El-Sehiemy, and S. M. Farrag, A novel adequate bi-level reactive power planning strategy, Int. J. Electr. Power Energy Syst., 78 (2016) 897–909.
DOI: 10.1016/j.ijepes.2015.12.004
Google Scholar
[4]
M. Mohseni-Bonab and A. Rabiee, Optimal reactive power dispatch: A review, and a new stochastic voltage stability constrained multi-objective model at the presence of uncertain wind power generation, IET Generation, Transmission and Distribution. 11.4 (2017) 815-829.
DOI: 10.1049/iet-gtd.2016.1545
Google Scholar
[5]
A. A. Heidari, R. Ali Abbaspour, and A. Rezaee Jordehi, Gaussian bare-bones water cycle algorithm for optimal reactive power dispatch in electrical power systems, Appl. Soft Comput. J. 57 (2017) 657-671.
DOI: 10.1016/j.asoc.2017.04.048
Google Scholar
[6]
M. H. Sulaiman, Z. Mustaffa, M. R. Mohamed, and O. Aliman, Using the gray wolf optimizer for solving optimal reactive power dispatch problem, Appl. Soft Comput. J. 32 (2015) 286-292.
DOI: 10.1016/j.asoc.2015.03.041
Google Scholar
[7]
A. M. Shaheen, R. A. El-Sehiemy, and S. M. Farrag, Integrated Strategies of Backtracking Search Optimizer for Solving Reactive Power Dispatch Problem, IEEE Syst. J. 2018. 12.1 (2016) 424-433.
DOI: 10.1109/jsyst.2016.2573799
Google Scholar
[8]
K. Y. Lee, Optimal reactive power planning using evolutionary algorithms: a comparative study for evolutionary programming, evolutionary strategy, genetic algorithm, and linear programming, IEEE Trans. Power Syst., 13.1 (1998) 101-108.
DOI: 10.1109/59.651620
Google Scholar
[9]
R. A. El-Sehiemy, A. A. A. El Ela, and A. Shaheen, A multi-objective fuzzy-based procedure for reactive power-based preventive emergency strategy. Int. J. Eng. Res. Africa, vol. 13 (2015) 91-102.
DOI: 10.4028/www.scientific.net/jera.13.91
Google Scholar
[10]
S. Granville, Opiimal reactive dispatch through interior point methods, IEEE Trans. Power Syst. 9.1 (1994) 136-146.
DOI: 10.1109/59.317548
Google Scholar
[11]
R.-M. Jan., and N. Chen. Application of the fast Newton-Raphson economic dispatch and reactive power/voltage dispatch by sensitivity factors to optimal power flow. IEEE transactions on energy conversion 10.2 (1995) 293-301.
DOI: 10.1109/60.391895
Google Scholar
[12]
Q. H. Wu, Y. J. Cao, and J. Y. Wen, Optimal reactive power dispatch using an adaptive genetic algorithm, Int. J. Electr. Power Energy Syst. 20.8 (1998) 563-569.
DOI: 10.1016/s0142-0615(98)00016-7
Google Scholar
[13]
A. A. Abou El-Ela, A. M. Kinawy, R. A. El-Sehiemy, and M. T. Mouwafi, Optimal reactive power dispatch using ant colony optimization algorithm, Electr. Eng. 93.2 (2011) 103-116.
DOI: 10.1007/s00202-011-0196-4
Google Scholar
[14]
B. Shaw, V. Mukherjee, and S. P. Ghoshal, Solution of reactive power dispatch of power systems by an opposition-based gravitational search algorithm, Int. J. Electr. Power Energy Syst. 55 (2014) 29-40.
DOI: 10.1016/j.ijepes.2013.08.010
Google Scholar
[15]
S. Duman, Y. Sönmez, U. Güvenç, and N. Yörükeren, Optimal reactive power dispatch using a gravitational search algorithm, IET Gener. Transm. Distrib. 6.6 (2012) 563-576.
DOI: 10.1049/iet-gtd.2011.0681
Google Scholar
[16]
A. M. Shaheen, R. A. El-Sehiemy, and S. M. Farrag, A novel framework for power loss minimization by modified wind driven optimization algorithm, In 2018 International Conference on Innovative Trends in Computer Engineering (ITCE) (pp.344-349). IEEE.
DOI: 10.1109/itce.2018.8316648
Google Scholar
[17]
Z. Wen, and Y. Liu. Multi-objective reactive power and voltage control based on fuzzy optimization strategy and fuzzy adaptive particle swarm. Int. J. Electr. Power Energy Syst. 30.9 (2008) 525-532.
DOI: 10.1016/j.ijepes.2008.04.005
Google Scholar
[18]
C. Dai, W. Chen, Y. Zhu, and X. Zhang, Seeker optimization algorithm for optimal reactive power dispatch. IEEE Trans. Power Syst. 24.3 (2009) 1218-1231.
DOI: 10.1109/tpwrs.2009.2021226
Google Scholar
[19]
A. M. Shaheen, R. A. El-Sehiemy, and S. M. Farrag. Optimal reactive power dispatch using backtracking search algorithm. Australian Journal of Electrical and Electronics Engineering 13.3 (2016) 200-210.
DOI: 10.1080/1448837x.2017.1325134
Google Scholar
[20]
W. S.,Sakr, R. A. El-Sehiemy, and A. M. Azmy. Adaptive differential evolution algorithm for efficient reactive power management. Applied Soft Computing 53 (2017) 336-351.
DOI: 10.1016/j.asoc.2017.01.004
Google Scholar
[21]
W. Yan, S. Lu, and D. C. Yu, A novel optimal reactive power dispatch method based on an improved hybrid evolutionary programming technique. IEEE Trans. Power Syst. 19.2 (2004) 913-918.
DOI: 10.1109/tpwrs.2004.826716
Google Scholar
[22]
N. Amjady, H. Fatemi, and H. Zareipour, Solution of optimal power flow subject to security constraints by a new improved bacterial foraging method, IEEE Trans. Power Syst. 27.3 (2012) 1311-1323.
DOI: 10.1109/tpwrs.2011.2175455
Google Scholar
[23]
A. F. Barakat, R. A. El-Sehiemy, M. Elsaid, and E. Osman, Solving Reactive Power Dispatch Problem by Using JAYA Optimization Algorithm, Int. J. Eng. Res. Africa, 36 (2018) 12–24.
DOI: 10.4028/www.scientific.net/jera.36.12
Google Scholar
[24]
A. F. Barakat, R. A. El-Sehiemy, M. I. Elsayd, and E. Osman, An enhanced Jaya optimization algorithm (EJOA) for solving multi-objective ORPD problem. In 2019 International Conference on Innovative Trends in Computer Engineering (ITCE) (pp.479-484). IEEE.
DOI: 10.1109/itce.2019.8646363
Google Scholar
[25]
M. Ghasemi, M. Taghizadeh, S. Ghavidel, J. Aghaei, and A. Abbasian, Solving optimal reactive power dispatch problem using a novel teaching-learning-based optimization algorithm,, Eng. Appl. Artif. Intell., 39 (2015): 100-108.
DOI: 10.1016/j.engappai.2014.12.001
Google Scholar
[26]
R. P. Singh, V. Mukherjee, and S. P. Ghoshal, Optimal reactive power dispatch by particle swarm optimization with an aging leader and challengers, Appl. Soft Comput. J. 29 (2015) 298-309.
DOI: 10.1016/j.asoc.2015.01.006
Google Scholar
[27]
Y. Li, P. P. Jing, D. F. Hu, B. H. Zhang, C. X. Mao, X. B. Ruan and D. F. Chang, Optimal reactive power dispatch using particle swarms optimization algorithm based Pareto optimal set. In Int. Symposium on Neural Networks, Springer, Berlin, Heidelberg (2009) 152-161.
DOI: 10.1007/978-3-642-01513-7_17
Google Scholar
[28]
P. K. Roy, S. P. Ghoshal, and S. S. Thakur, Turbulent crazy particle swarm optimization technique for optimal reactive power dispatch. In World Congress on Nature & Biologically Inspired Computing (NaBIC), IEEE (2009) 1219-1224. .
DOI: 10.1109/nabic.2009.5393791
Google Scholar
[29]
V. Mini and S. K. TK, Diversity Enhanced Particle Swarm Optimization based Optimal Reactive Power Dispatch. Int. Conf. (TAP Energy), IEEE (2015) 170-175.
DOI: 10.1109/tapenergy.2015.7229612
Google Scholar
[30]
. Polprasert, W. Ongsakul, and V. N. Dieu, Optimal reactive power dispatch using improved pseudo-gradient search particle swarm optimization. Electr. Power Components Syst. 44.5 (2016) 518-532.
DOI: 10.1080/15325008.2015.1112449
Google Scholar
[31]
A. Askarzadeh and A. Rezazadeh, Optimization of PEMFC model parameters with a modified particle swarm optimization. Int. J. of Energy Research, 35.14 (2011) 1258-1265.
DOI: 10.1002/er.1787
Google Scholar
[32]
J. Kennedy and R. C. Eberhart, A discrete binary version of the particle swarm algorithm. IEEE Int. conf. on systems, man and cybernetics. Computational cybernetics and simulation. 5 (1997) 4104-4108.
DOI: 10.1109/icsmc.1997.637339
Google Scholar
[33]
A. A. Fathy, M. S. Elbages, R. A. El-Sehiemy, and F. M. Bendary, Static transmission expansion planning for realistic networks in Egypt,, Electr. Power Syst. Res. 151 (2017) 404-418.
DOI: 10.1016/j.epsr.2017.06.007
Google Scholar
[34]
A. A. Abou-El-Ela, and R. A. El-Sehiemy. Optimized generation costs using a modified particle swarm optimization version., 2008 12th International Middle-East Power System Conference. IEEE, 2008.
DOI: 10.1109/mepcon.2008.4562392
Google Scholar
[35]
M. Ghasemi, S. Ghavidel, M. M. Ghanbarian and A. Habibi. A new hybrid algorithm for optimal reactive power dispatch problem with discrete and continuous control variables. Appl. Soft Comput. J. 22 (2014) 126-140.
DOI: 10.1016/j.asoc.2014.05.006
Google Scholar
[36]
M. Ghasemi, M. M. Ghanbarian, S. Ghavidel, S. Rahmani, and E. Mahboubi Moghaddam, Modified teaching learning algorithm and double differential evolution algorithm for optimal reactive power dispatch problem: A comparative study. Inf. Sci. (Ny).,278 (2014) 231-249.
DOI: 10.1016/j.ins.2014.03.050
Google Scholar
[37]
R. P. Singh, V. Mukherjee and S. P. Ghoshal. Optimal reactive power dispatch by particle swarm optimization with an aging leader and challengers. Appl. Soft Comput. J. 29 (2015) 298-309.
DOI: 10.1016/j.asoc.2015.01.006
Google Scholar
[38]
A. Rajan and T. Malakar, Optimal reactive power dispatch using hybrid Nelder–Mead simplex based firefly algorithm. Int. J. of Elec. Power & Energy Sys. 66 (2015) 9-24.
DOI: 10.1016/j.ijepes.2014.10.041
Google Scholar
[39]
M. Mehdinejad, B. Mohammadi-Ivatloo, R. Dadashzadeh-Bonab and K. Zare, Solution of optimal reactive power dispatch of power systems using hybrid particle swarm optimization and imperialist competitive algorithms. Int. J. of Elec. Power & Energy Sys. 83 (2016) 104-116.
DOI: 10.1016/j.ijepes.2016.03.039
Google Scholar
[40]
B. Shaw, V. Mukherjee and S. P. Ghoshal, Solution of reactive power dispatch of power systems by an opposition-based gravitational search algorithm. Int. J. of Elec. Power & Energy Sys. 55 (2014) 29-40.
DOI: 10.1016/j.ijepes.2013.08.010
Google Scholar
[41]
A. M. Sharaf, H. Mavalizadeh, A. Ahmadi, F. H. Gandoman, O. Homaee and H. A. Shayanfar, Application of New Fast, Efficient-Self adjusting PSO-Search Algorithms in Power Systems, Studies. In Classical and recent aspects of power system optimization, Academic Press (2018) 33-61.
DOI: 10.1016/b978-0-12-812441-3.00003-3
Google Scholar