Biplab Bhattacharyya and Nihar Karmakar
[1] A. Karami-Horestani, M.E.H. Golshan, and H. Monsef, Expected security constrained reactive power planning, IET Generation, Transmission & Distribution, 10(10), 2016, 2306–2315. [2] B. Bhattacharyya and S. Kumar, Approach for the solution of transmission congestion with multi-type FACTS devices, IET Generation, Transmission & Distribution, 10(11), 2016, 2802–2809. [3] H. Amaris and M. Alonso, Coordinated reactive power management in power networks with wind turbines and FACTS devices, Energy Conversion and Management, 52(7), 2011, 2575–2586. [4] W. Qin, P. Wang, X. Han, and X. Du, Reactive power aspects in reliability assessment of power systems, IEEE Transactions on Power Systems, 26(1), 2011, 85–92. [5] H. Liu, V. Krishnan, J.D. McCalley, and A. Chowdhury, Optimal planning of static and dynamic reactive power resources, IET Generation, Transmission & Distribution, 8(12), 2014, 1916–1927. [6] M. Raza, C. Collados, and O. Gomis-Bellmunt, Reactive power management in an offshore AC network having multiple voltage source converters, Applied Energy, 206, 2017, 793–803. [7] B. Bhattacharyya, S. Rani, R.I. Vais, and I.P. Bharti, GA based optimal planning of VAR sources using Fast Voltage Stability Index method, Archives of Electrical Engineering, 65(4) 2016, 789–802. [8] O.A. Mousavi, M. Bozorg, and R. Cherkaoui, Preventive reactive power management for improving voltage stability margin, Electric Power Systems Research, 96, 2013, 36–46. [9] A. Dandotia, H. Kaushik, M.P. Sharma, and B. Vyas, Loss reduction of 220 kV substation with optimum reactive power management at 33 kV voltage level: a case study, IEEE 7th PIICON, Bikaner, India, 2016. [10] S. Raj and B. Bhattacharyya, Optimal placement of TCSC and SVC for reactive power planning using Whale optimization algorithm, Swarm and Evolutionary Computation, 40, 2018, 131–143. [11] A. Safavizadeh, G.R. Yousefi, and H.R. Karshenas, Voltage variation mitigation using reactive power management of distributed energy resources in a smart distribution system, IEEE Transactions on Smart Grid, 10(2), 2017, 1907–1915. [12] S.K. Parida, S.C. Srivastava, and S.N. Singh, A review on reactive power management in electricity markets, International Journal of Energy Sector Management, 5(2), 2011, 201–214. [13] D. Chattopadhyay, K. Bhattacharya, and J. Parikh, Optimal reactive power planning and its spot-pricing: an integrated approach, IEEE Transactions on Power systems, 10(4), 1995, 2014–2020. [14] D. Thukaram, K. Parthasarathy, H.P. Khincha, N. Udupa, and A. Bansilal, Voltage stability improvement: case studies of Indian power networks, Electric Power Systems Research, 44(1), 1998, 35–44. [15] M. De and S.K. Goswami, A direct and simplified approach to power-flow tracing and loss allocation using graph theory, Electric Power Components and Systems, 38(3), 2010, 241–259. [16] S.R. Iyer, K. Ramachandran, and S. Hariharan, New technique for optimal reactive-power allocation for loss minimisation in power systems, IEE Proceedings C (Generation, Transmission and Distribution), 130(4), 1983, 178–182. IET Digital Library. [17] W. Yan, S. Lu, and D.C. Yu, A novel optimal reactive power dispatch method based on an improved hybrid evolutionary programming technique, IEEE Transactions on Power Systems, 19(2), 2004, 913–918. [18] H. Yoshida, K. Kawata, Y. Fukuyama, S. Takayama, and Y. Nakanishi, A particle swarm optimization for reactive power and voltage control considering voltage security assessment, IEEE Transactions on Power Systems, 15(4), 2000, 1232–1239. [19] B. Venkatesh, G. Sadasivam, and M. Abdullah Khan, A new optimal reactive power scheduling method for loss minimization and voltage stability margin maximization using successive multi-objective fuzzy LP technique, IEEE Transactions on power Systems, 15(2), 2000, 844–851. [20] J. Kennedy and R. Eberharet, Particle swarm optimization, IEEE International Conference on Neural Networks, 4, 1995, 1942–1948. [21] R. Storn and K. Price, Differential evolution–a simple and efficient heuristic for global optimization over continuous spaces, Journal of Global Optimization, 11(4), 1997, 341–359. [22] R.V. Rao, Teaching-learning-based optimization (TLBO) algorithm and its engineering applications (Berlin: Springer International Publishing, 2016). [23] Y. Zeng and Y. Sun, Enhanced multi-objective particle swarm optimization for optimal reactive power dispatch considering voltage stability, International Journal of Power and Energy Systems, 34(3), 2014, 116–124. [24] S.S. Reddy, Optimal reactive power scheduling using cuckoo search algorithm, International Journal of Electrical & Computer Engineering (2088-8708), 7(5), 2017, 2349–2356. [25] I. Musirin and T.K.A. Rahman, Evolutionary programming based optimal reactive power planning for voltage stability improvement and loss minimization in power system, International Journal of Power and Energy Systems, 29(1), 2009, 1–9. [26] S.S. Reddy, Optimal power flow using hybrid differential evolution and harmony search algorithm, International Journal of Machine Learning and Cybernetics, 10(5), 2019, 1077–1091. [27] S. Mouassa, T. Bouktir, and A. Salhi, Ant lion optimizer for solving optimal reactive power dispatch problem in power systems, Engineering Science and Technology, an International Journal, 20(3), 2017, 885–895. [28] A.A. Heidari, R.A. Abbaspour, and A.R. Jordehi, Gaussian bare-bones water cycle algorithm for optimal reactive power dispatch in electrical power systems, Applied Soft Computing, 57, 2017, 657–671. [29] S.S. Reddy and B.K. Panigrahi, Optimal power flow using clustered adaptive teaching learning-based optimisation, International Journal of Bio-Inspired Computation, 9(4), 2017, 226–234. [30] S.S. Reddy, Clustered adaptive teaching–learning-based optimization algorithm for solving the optimal generation scheduling problem, Electrical Engineering, 100(1), 2018, 333–346. [31] R.N.S. Mei, M.H. Sulaiman, Z. Mustaffa, and H. Daniyal, Optimal reactive power dispatch solution by loss minimization using moth-flame optimization technique, Applied Soft Computing, 59, 2017, 210–222. [32] K. ben oualid Medani, S. Sayah, and A. Bekrar, Whale optimization algorithm based optimal reactive power dispatch: 147 A case study of the Algerian power system, Electric Power Systems Research, 163, 2018, 696–705. [33] S.S. Reddy, Multi-objective based congestion management using generation rescheduling and load shedding, IEEE Transactions on Power Systems, 32(2), 2016, 852–863. [34] S. Raj and B. Bhattacharyya, Reactive power planning by opposition-based grey wolf optimization method, International Transactions on Electrical Energy Systems, 28(6), 2018, e2551. [35] A. Askarzadeh, A novel metaheuristic method for solving constrained engineering optimization problems: crow search algorithm, Computers & Structures, 169, 2016, 1–12. [36] O.K. Erol and I. Eksin, A new optimization method: big bang–big crunch, Advances in Engineering Software, 37(2), 2006, 106–111. [37] S. Mirjalili, SCA: a sine cosine algorithm for solving optimization problems, Knowledge-Based Systems, 96, 2016, 120–133. [38] Y. Zhao, M.R. Irving, and Y. Song, A cost allocation and pricing method for reactive power service in the new deregulated electricity market environment, 2005 IEEE/PES Transmission and Distribution Conference and Exhibition: Asia and Pacific, Dalian, China, 2005, 1–6. [39] M. De and S.K. Goswami, A direct and simplified approach to power-flow tracing and loss allocation using graph theory, Electric Power Components and Systems, 38(3), 2010, 241–259. [40] J.W. Lamont and J. Fu, Cost analysis of reactive power support, IEEE Transactions on Power Systems, 14(3), 1999, 890–898. [41] B. Bhattacharyya, S.K. Goswami, and R.C. Bansal, Loss sensitivity approach in evolutionary algorithms for reactive power planning, Electric Power Components and Systems, 37(3), 2009, 287–299. [42] B. Gao, G.K. Morison, and P. Kundur, Voltage stability evaluation using modal analysis, IEEE Transactions on Power Systems, 7(4), 1992, 1529–1542. [43] M.A. Pai, Computer techniques in power system analysis, 3rd ed. (New Delhi, India: Tata Mcgraw Hill Education Private Limited, 2005).
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