Razieh Darshi,∗ Khosro Khandani,∗∗ and Mohammad Hossein Mozaffari Siamakan∗∗
[1] J. Kennedy and R. Eberhart, Particle swarm optimization,in Proceedings of ICNN’95-International Conference on NeuralNetworks, Perth, WA, 1995, 1942–1948. [2] D. Karaboga and B. Basturk, A powerful and efficient algorithmfor numerical function optimization: artificial bee colony(ABC) algorithm, Journal of Global Optimization, 39(3), 2007,459–471. [3] M. Dorigo, M. Birattari, and T. Stutzle, Ant colonyoptimization, IEEE Computational Intelligence Magazine,1(4), 2006, 28–39. [4] S. Mirjalili, S.M. Mirjalili, and A. Lewis, Grey wolfoptimizer, Advances in Engineering Software, 69, 2014, 46–61. [5] S. Mirjalili and A. Lewis, The whale optimizationalgorithm, Advances in Engineering Software, 95, 2016,51–67. [6] K. Khandani and A.A. Jalali, PSO based optimal fractionalPID controller design for an active magnetic bearing system,in Proceedings of 18th Annual International Conference onMechanical Engineering, Cairo, 2010, 1–6. [7] G. Wu, D. Hu, L. Liu, and G. Bao, Improved PSO algorithmapplication research for new energy consumption in microgridcombination optimization model. International Journal ofPower and Energy Systems, 44(10), 2024, 1–11. [8] W. Jiekang and C. Xiaohua, An identification method forvoltage sag in distribution systems using SVM with grey wolfalgorithm. International Journal of Power and Energy Systems,44(10), 2024, 1–10. [9] K. Khandani and A. A. Jalali, Robust fractional order controlof a DC motor based on particle swarm optimization, AdvancedMaterials Research, 403, 2012, 5030–5037. [10] K. Khandani, A.A. Jalali, and M. Alipoor, Particle SwarmOptimization based design of disturbance rejection PIDcontrollers for time delay systems, in IEEE InternationalConference on Intelligent Computing and Intelligent Systems,Shanghai, 2009, 862–866. [11] T. Ray and K.M. Liew, K.M. Society and civilization: Anoptimization algorithm based on the simulation of social behav-ior, IEEE Transactions on Evolutonary Computation, 7(4),2003, 386–396. [12] E. Atashpaz-Gargari and C. Lucas, Imperialist compet-itive algorithm: an algorithm for optimization inspiredby imperialistic competition, in Proceeding of the IEEECongress on Evolutionary Computation, Singapore, 2007,4661–4667. [13] N. Ghorbani and E. Babaei, Exchange market algo-rithm, Applied Soft Computing, 19, 2014, 177–187. [14] R.V. Rao V.J. Savsani, and J. Balic, Teaching–learning-basedoptimization algorithm for unconstrained and constrainedreal-parameter optimization problems, Engineering Optimiza-tion, 44(12), 2012, 1447–1462. [15] A.Q. Badar, B.S. Umre, and A.S. Junghare, Reactive powercontrol using dynamic particle swarm optimization for realpower loss minimization. International Journal of ElectricalPower & Energy Systems, 41(1), 2012, 133–136.5 [16] F.R.C. Soldevilla and F.A.C. Huerta, Minimization oflosses in power systems by reactive power dispatch usingparticle swarm optimization, in Proceeding of the 54thInternational Universities Power Engineering Conference(UPEC), Bucharest, 2019, 1–5. [17] C.W.T.N.J. Balu, and D. Maratukulam, Power System VoltageStability. (New York, NY: McGraw Hill, 1994). [18] S. Kirkpatrick, C.D. Gelatt, and M.P. Vecchi, (). Opti-mization by simulated annealing, Science, 220(4598), 1983,671–680. [19] O.K. Erol and I. Eksin, A new optimization method: Big bang–big crunch, Advances in Engineering Software, 37(2), 2006,106–111. [20] V.K. Patel and V.J. Savsani, Heat transfer search (HTS):A novel optimization algorithm, Information Sciences, 324,217–246. [21] Z.W. Geem, J.H. Kim, and G.V. Loganathan, A new heuristicoptimization algorithm: Harmony search, Simulation, 76(2),2001, 60–68. [22] S.S. Gudadappanavar and S. Mahapatra, Metaheuristicnature-based algorithm for optimal reactive power planning,International Journal of System Assurance Engineering andManagement, 13(3), 2022, 1453–1466. [23] R. Babu, V. Kumar, C.K. Shiva, S. Raj, and B. Bhattacharyya,Application of sine–cosine optimization algorithm for mini-mization of transmission loss, Technology and Economics ofSmart Grids and Sustainable Energy, 7(1), 2022, 1–12. [24] M. Badi, S. Mahapatra, and S. Raj, Hybrid BOA-GWO-PSOalgorithm for mitigation of congestion by optimal reactive powermanagement, Optimal Control Applications and Methods,44(2), 2021, 935–966. [25] N. Karimi, and K. Khandani, Social optimization algorithmwith application to economic dispatch problem, InternationalTransactions on Electrical Energy Systems, 30, 2020, e12593. [26] G.S. Shekarappa, S. Mahapatra, and S. Raj, Voltageconstrained reactive power planning problem for reactiveloading variation using hybrid Harris hawk particle swarmoptimizer, Electric Power Components and Systems, 49(4–5),2021, 421–435. [27] X. Kou, Particle Swarm Optimization Based Reactive PowerDispatch for Power Networks with Distributed Generation,M.S. thesis, University of Denver, Denver, 2015.
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