References(26)
[1]
Kirschen D. S. and Van Meeteren H. P., MW/voltage control in linear programming based optimal power flow, IEEE Transactions on Power Systems, vol. 3. no. 2, pp. 481-489, 1988.
[2]
Lee K. Y., Park Y. M., and Ortiz J. L., A united approach to optimal real and reactive power dispatch, IEEE Transactions on Power Apparatus and Systems, vol. 104, no. 5, pp. 1147-1153, 1985.
[3]
Quintana V. H. and Santos-Nieto M., Reactive power-dispatch by successive quadratic programming, IEEE Transactions on Energy Conversion, vol. 4, no. 3, pp. 425-435, 1989.
[4]
Granville S., Optimal reactive dispatch through interior point methods, IEEE Transactions on Power Systems, vol. 9, no. 1, pp. 136-146, 1994.
[5]
Yan W., Lu S., and Yu D. C., A hybrid genetic algorithm-interior point method for optimal reactive power flow, IEEE Transactions on Power Systems, vol. 21, no. 3, pp. 1163-1209, 2006.
[6]
Liu W. H. E., Papalexopoulos A. D., and Tinney W. F., Discrete shunt controls in a Newton optimal power flow, IEEE Transactions on Power Systems, vol. 17, pp. 1509-1518, 1992.
[7]
Park J. Y., Nam S. R., and Park J. K., Control of a ULTC considering the dispatch schedule of capacitors in a distribution system, IEEE Transactions on Power Systems, vol. 22, no. 2, pp. 1349-1356, 2007.
[8]
Liu M. B., Zhu C. M. and Qian K. L., Dynamic reactive-power optimization algorithm incorporating action number constraints of control devices, (in Chinese), Proceedings-Chinese Society of Electrical Engineering, vol. 24, no. 3, pp. 34-40, 2004.
[9]
Park J. Y., Sohn J. M., and Park J. K., Optimal capacitor allocation in a distribution system considering operation costs, IEEE Transactions on Power Systems, vol. 24, no. 1, pp. 462-468, 2009.
[10]
Liu G. B., Yan W. T., and Zhang W. B., Optimization and dispatching method of dynamic reactive power in distribution network with distributed generators, (in Chinese), Automation of Electric Power System, vol. 39, no. 15, pp. 49-54, 2015.
[11]
Bhattacharyya B. and Raj S., PSO based bio inspired algorithms for reactive power planning, International Journal of Electrical Power & Energy Systems, vol. 74, pp. 396-402, 2016.
[12]
Bhattacharyya B. and Babu R., Teaching learning based optimization algorithm for reactive power planning, International Journal of Electrical Power & Energy Systems, vol. 81, pp. 248-253, 2016.
[13]
Ayan K. and Kürs U., Artificial bee colony algorithm solution for optimal reactive power flow, Applied Soft Computing, vol. 12, no. 5, pp. 1477-1482, 2012.
[14]
Singh R. P., Mukherjee V., and Ghoshal S. P., Optimal reactive power dispatch by particle swarm optimization with an aging leader and challengers, Applied Soft Computing, vol. 29, pp. 298-309, 2015.
[15]
Li J., Liu T. Q., Li X. Y., and Xing D. P., Application of improved particle swarm-tabu search algorithm in multi-objective reactive power optimization, (in Chinese), Electric Power Automation Equipment, vol. 34, no. 8, pp. 71-78, 2014.
[16]
Xie G. M., Guo X. J., and Liu J. G., Multi-objective firefly algorithm for power system reactive optimization, (in Chinese), Journal of Liaoning Technical University (Natural Science), vol. 35, no. 4, pp. 444-448, 2016.
[17]
Sun T., Zou P., and Yang Z. F., A multi-stage solution approach for dynamic reactive power optimization, (in Chinese), Power System Technology, vol. 40, no. 6, pp. 1804-1810, 2016.
[18]
Zhou X., Zhu H., and Ma A., Multi-objective dynamic reactive power optimization based on multi-population ant colony algorithm, (in Chinese), Power System Technology, vol. 36, no. 7, pp. 231-236, 2012.
[19]
Ding T., Guo Q. L., and Bo R., Two-stage heuristic-correction for dynamic reactive power optimization based on relaxation-MPEC and MIQP, (in Chinese), Proceedings of CSEE, vol. 34, no. 13, pp. 2100-2107, 2014.
[20]
Fletcher R., Leyffer S., and Toint P. L., A brief history of filter methods, SIAM SIAG/OPT Views-and-News, vol. 18, no. 1, pp. 2-12, 2006.
[21]
Zhou X. J., Yang C. H., and Gui W. H., Initial version of state transition algorithm, in Proc. 2nd Int. Conf. Digital Manufacturing & Automation, Zhangjiajie, China, 2011, pp. 644-647.
[22]
Zhou X. J., Yang C. H., and Gui W. H., State transition algorithm, Journal of Industrial and Management Optimization, vol. 8, no. 4, pp. 1039-1056, 2012.
[23]
Yang C. H., Tang X. L., Zhou X. J., and Gui W. H., A discrete state transition algorithm for traveling salesman problem, Control Theory & Applications, vol. 30, no. 8, pp. 1040-1046, 2013.
[24]
Fletcher R., Leyffer S., and Toint P. L., On the global convergence of a filter—SQP algorithm, SIAM Journal on Optimization, vol. 13, no. 1, pp. 44-59, 2002.
[25]
Liu F., Chung C. Y., Wong K. P., Yan W., and Xu G. Y., Hybrid immune genetic method for dynamic reactive power optimization, in Proc. 2006 Int. Conf. Power System Technology, Chongqing, China, 2006, pp. 1-6.
[26]
Ayan K., Artificial bee colony algorithm solution for optimal reactive power flow, Applied Soft Computing, vol. 12, no. 5, pp. 1477-1482, 2012.