[1] Lenin, K. (2019). Acridoidea stimulated artificial bee colony algorithm for solving optimal reactive power problem.
5th virtual international conference on science, technology and management in energy (pp. 28-29).
https://energetics.cosrec.org
[2] Lee, K. Y. (1984). Fuel-cost minimisation for both real and reactive-power dispatches. Proceedings generation, transmission and distribution conference (pp. 85-93). 10.1049/ip-c.1984.0012
[3] Deeb, N. I., & Shahidehpour, S. M. (1988). An efficient technique for reactive power dispatch using a revised linear programming approach. Electric power systems research, 15(2), 121-134.
[4] Bjelogrlic, M., Calovic, M. S., Ristanovic, P., & Babic, B. S. (1990). Application of Newton's optimal power flow in voltage/reactive power control. IEEE transactions on power systems, 5(4), 1447-1454. Granville, S. (1994). Optimal reactive dispatch through interior point methods. IEEE transactions on power systems, 9(1), 136-146.
[5] Grudinin, N. (1998). Reactive power optimization using successive quadratic programming method. IEEE transactions on power systems, 13(4), 1219-1225.
[6] Roy, P. K., & Dutta, S. (2019). Economic load dispatch: optimal power flow and optimal reactive power dispatch concept (pp. 46-64). In Optimal power flow using evolutionary algorithms. IGI Global.
[7] Bingane, C., Anjos, M. F., & Le Digabel, S. (2019). Tight-and-cheap conic relaxation for the optimal reactive power dispatch problem. IEEE transactions on power systems, 34(6), 4684-4693.
[8] Prasad, D., & Mukherjee, V. (2018). Solution of optimal reactive power dispatch by symbiotic organism search algorithm incorporating FACTS devices. IETE journal of research, 64(1), 149-160.
[9] Aljohani, T. M., Ebrahim, A. F., & Mohammed, O. (2019). Single and multiobjective optimal reactive power dispatch based on hybrid artificial physics–particle swarm optimization. Energies, 12(12), 2333.
[10] Mahate, R. K., & Singh, H. (2019). Multi-objective optimal reactive power dispatch using differential evolution. International journal of engineering technologies and management research, 6(2), 27-38.
[11] Yalçın, E., Taplamacıoğlu, M. C., & Çam, E. (2019). The adaptive chaotic symbiotic organisms search algorithm proposal for optimal reactive power dispatch problem in power systems. Electrica, 19(1), 37-47.
[12] Mouassa, S., & Bouktir, T. (2019). Multi-objective ant lion optimization algorithm to solve large-scale multi-objective optimal reactive power dispatch problem. COMPEL-the international journal for computation and mathematics in electrical and electronic engineering, 38(1), 304-324.
[13] Aljohani, T. M., Ebrahim, A. F., & Mohammed, O. (2019). Single and multiobjective optimal reactive power dispatch based on hybrid artificial physics–particle swarm optimization. Energies, 12(12), 2333.
[14] Chen, G., Liu, L., Zhang, Z., & Huang, S. (2017). Optimal reactive power dispatch by improved GSA-based algorithm with the novel strategies to handle constraints. Applied soft computing, 50, 58-70.
[15] Karaboga, D., & Akay, B. (2011). A modified artificial bee colony (ABC) algorithm for constrained optimization problems. Applied soft computing, 11(3), 3021-3031.
[16] The IEEE-test systems. (1993). Retrieved from http://www.ee.washington.edu/trsearch/pstca/
Hussain, A. N., Abdullah, A. A., & Neda, O. M. (2018). Modified particle swarm optimization for solution of reactive power dispatch. Research journal of applied sciences, engineering and technology, 15(8), 316-327.