The Optimization of the Location and Capacity of Reactive Power Generation Units, Using a Hybrid Genetic Algorithm Incorporated by the Bus Impedance Power-Flow Calculation Method
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Ding, 2016, A two-stage robust reactive power optimization considering uncertain wind power integration in active distribution networks, IEEE Trans. Sustain. Energy, 7, 301, 10.1109/TSTE.2015.2494587
Wang, 2011, Reactive power planning based on fuzzy clustering, gray code, and simulated annealing, IEEE Trans. Power Syst., 26, 2246, 10.1109/TPWRS.2011.2109067
Singh, 2016, Recurrent multi-objective differential evolution approach for reactive power management, IET Gener. Transm. Distrib., 10, 192, 10.1049/iet-gtd.2015.0648
Zhang, 2017, Solution of reactive power optimisation including interval uncertainty using genetic algorithm, IET Gener. Transm. Distrib., 11, 3657, 10.1049/iet-gtd.2016.1195
Mukherjee, 2015, Solution of optimal reactive power dispatch by chaotic krill herd algorithm, IET Gener. Transm. Distrib., 9, 2351, 10.1049/iet-gtd.2015.0077
Shi, 2018, Reactive power minimization in bidirectional DC–DC converters using a unified-phasor-based particle swarm optimization, IEEE Trans. Power Electron., 33, 10990, 10.1109/TPEL.2018.2811711
Dai, 2009, Seeker optimization algorithm for optimal reactive power dispatch, IEEE Trans. Power Syst., 24, 1218, 10.1109/TPWRS.2009.2021226
Raj, 2018, Optimal placement of TCSC and SVC for reactive power planning using whale optimization algorithm, Swarm Evol. Comput., 40, 131, 10.1016/j.swevo.2017.12.008
Shaheen, 2018, Integrated strategies of backtracking search optimizer for solving reactive power dispatch problem, IEEE Syst. J., 12, 424, 10.1109/JSYST.2016.2573799
Raha, 2019, Hybrid SMES based reactive power dispatch by cuckoo search algorithm, IEEE Trans. Ind. Appl., 55, 907, 10.1109/TIA.2018.2866575
Amrane, 2015, A new optimal reactive power planning based on differential search algorithm, Int. J. Electr. Power Energy Syst., 64, 551, 10.1016/j.ijepes.2014.07.060
Huang, 2017, Optimisation of dynamic reactive power sources using mesh adaptive direct search, IET Gener. Transm. Distrib., 11, 3675, 10.1049/iet-gtd.2016.1912
Sheng, 2016, Reactive power coordinated optimisation method with renewable distributed generation based on improved harmony search, IET Gener. Transm. Distrib., 10, 3152, 10.1049/iet-gtd.2015.1051
Vergara, 2018, Optimal operation of radial distribution systems using extended dynamic programming, IEEE Trans. Power Syst., 33, 1352, 10.1109/TPWRS.2017.2722399
Zhou, 2014, Gradient-based adaptive stochastic search for non-differentiable optimization, IEEE Trans. Autom. Control, 59, 1818, 10.1109/TAC.2014.2310052
Nie, 2013, AC–DC optimal reactive power flow model via predictor–corrector primal-dual interior-point method, IET Gener. Transm. Distrib., 7, 382, 10.1049/iet-gtd.2012.0497
Zhang, 2018, Reactive power optimization under interval uncertainty by the linear approximation method and its modified method, IEEE Trans. Smart Grid, 9, 4587, 10.1109/TSG.2017.2664816
Lin, 2018, Linear inequalities convex transformation for optimal reactive power flow model based on MISOCP relaxations, IET Gener. Transm. Distrib., 12, 1589, 10.1049/iet-gtd.2017.1714
Deng, 2018, Multi-objective mixed-integer dynamic optimization method applied to optimal allocation of dynamic Var sources of power systems, IEEE Trans. Power Syst., 33, 1683, 10.1109/TPWRS.2017.2724058
Franco, 2018, AC OPF for smart distribution networks: An efficient and robust quadratic approach, IEEE Trans. Smart Grid, 9, 4613, 10.1109/TSG.2017.2665559
Bhattacharyya, 2016, Teaching learning based optimization algorithm for reactive power planning, Int. J. Electr. Power Energy Syst., 81, 248, 10.1016/j.ijepes.2016.02.042
Vita, V. (2017). Development of a decision-making algorithm for the optimum size and placement of distributed generation units in distribution networks. Energies, 10.
Nguyen, 2019, Exact optimal power dispatch in unbalanced distribution systems with high PV penetration, IEEE Trans. Power Syst., 34, 718, 10.1109/TPWRS.2018.2869195
Galvani, 2019, Multiobjective predictability-based optimal placement and parameters setting of UPFC in wind power included power systems, IEEE Trans. Ind. Inform., 15, 878, 10.1109/TII.2018.2818821
Zeng, 2012, Reactive power optimization of wind farm based on improved genetic algorithm, Energy Procedia, 14, 1362, 10.1016/j.egypro.2011.12.1102
Aldana, 2019, Extended-optimal-power-flow-based hierarchical control for islanded AC microgrids, IEEE Trans. Power Electron., 34, 840, 10.1109/TPEL.2018.2813980
Begovic, M.M., and Kim, I. (2011, January 20–23). Distributed renewable PV generation in urban distribution networks. Proceedings of the 2011 IEEE Power Systems Conference and Exposition, Phoenix, AZ, USA.
Kim, I., Begovic, M., Jeong, H., and Crittenden, J. (2013, January 7–10). Impact of photovoltaic distributed generation on generation resource allocation. Proceedings of the 2013 46th Hawaii International Conference on System Sciences, Wailea, Maui, HI, USA.
Kim, I., and Begovic, M. (2016, January 5–8). On impact of randomly distributed PV systems on distribution networks. Proceedings of the 2016 49th Hawaii International Conference on System Sciences, Koloa, HI, USA.
Kim, I., Harley, R.G., and Regassa, R. (2014, January 7–9). Optimal distributed generation allocation on distribution networks at peak load and the analysis of the impact of volt/var control on the improvement of the voltage profile. Proceedings of the 2014 North American Power Symposium, Pullman, WA, USA.
Thallam, R.S., Suryanarayanan, S., Heydt, G.T., and Ayyanar, R. (2006, January 18–22). Impact of interconnection of distributed generation of electric distribution systems—A dynamic simulation perspective. Proceedings of the IEEE Power Engineering Society General Meeting, Montreal, QC, Canada.
Vita, V., Alimardan, T., and Ekonomou, L. (2015, January 6–8). The impact of distributed generation in the distribution networks’ voltage profile and energy losses. Proceedings of the 2015 IEEE European Modelling Symposium, Madrid, Spain.
Kim, I., Harley, R.G., Regassa, R., and Valle, Y.D. (2015, January 10–13). The effect of the Volt/VAr control of photovoltaic systems on the time-series steady-state analysis of a distribution network. Proceedings of the 2015 Clemson University Power Systems Conference (PSC), Clemson, SC, USA.
Goldberg, D.E. (1989). Genetic Algorithms in Search, Optimization, and Machine Learning, Addison-Wesley.
Kim, 2017, Optimal distributed generation allocation for reactive power control, IET Gener. Transm. Distrib., 11, 1549, 10.1049/iet-gtd.2016.1393
Amini, M.H., Jaddivada, R., Hoseinzadeh, B., Mishra, S., and Mozafar, M.R. (2018). Optimal SVC allocation in power systems for loss minimization and voltage deviation reduction. Sustainable Interdependent Networks: From Theory to Application, Springer International Publishing.
Ayan, 2014, Optimizing reactive power flow of HVDC systems using genetic algorithm, Int. J. Electr. Power Energy Syst., 55, 1, 10.1016/j.ijepes.2013.08.006
Abdelkader, 2018, Multi-objective genetic algorithm based sizing optimization of a stand-alone wind/PV power supply system with enhanced battery/supercapacitor hybrid energy storage, Energy, 163, 351, 10.1016/j.energy.2018.08.135
Kim, 2020, Examination of the effect of the reactive power control of photovoltaic systems on electric power grids and the development of a voltage-regulation method that considers feeder impedance sensitivity, Electr. Power Syst. Res., 180, 106130, 10.1016/j.epsr.2019.106130
Brown, 1963, Power flow solution by impedance matrix iterative method, IEEE Trans. Power Appar. Syst., 82, 1, 10.1109/TPAS.1963.291392
Dugan, R.C., Arritt, R.F., Smith, J., and Rylander, M. (2013). OpenDSS Training Workshop, University of North Carolina at Charlotte.
Houck, 1995, A genetic algorithm for function optimization: A MATLAB implementation, Tech. Rep., 95, 1
Dabbagchi, I. (2019, February 08). IEEE 14-Bus System. Available online: http://labs.ece.uw.edu/pstca/pf14/pg_tca14bus.htm.
(1973). Working Group on a Common Format for Exchange of Solved Load Flow Data, Common format for exchange of solved load flow data. IEEE Trans. Power Appar. Syst., 92, 1916–1925.
Dabbagchi, I. (2019, February 08). IEEE 30-Bus System. Available online: http://www.ee.washington.edu/research/pstca/pf30/pg_tca30bus.htm.
Dabbagchi, I. (2019, February 08). IEEE 57-Bus System. Available online: http://labs.ece.uw.edu/pstca/pf57/pg_tca57bus.htm.
Kim, I. (2014). Impact of stochastic renewable distributed generation on urban distribution networks. Doctor of Philosophy, Electrical and Computer Engineering, Georgia Institute of Technology.
Pregelj, A. (2003). Impact of distributed generation on power network operation. Doctoral Dissertation, Georgia Institute of Technology.
De Jong, K.A. (1975). An Analysis of the Behavior of a Class of Genetic Adaptive Systems. [Ph.D. Thesis, University of Michigan].