Optimization of Mixed-Integer Non-Linear Electricity Generation Expansion Planning Problem Based on Newly Improved Gravitational Search Algorithm

[1] F. Ardakani, M. Ardehali, Novel effects of demand side management data on accuracy of electrical energy consumption modeling and long-term forecasting, Energy Conversion and Management, 78 (2014) 745-752.

[2] EIA, World Energy Outlook (2013).

[3] EIA, World Energy Outlook (2009).

[4] I. Statistics, Energy balances of non-OECD countries in 2011, Paris: International Energy Agency, (2011).

[5] B. Alizadeh, S. Jadid, Reliability constrained coordination of generation and transmission expansion planning in power systems using mixed integer programming, IET generation, transmission & distribution, 5(9) (2011) 948-960.

[6] J.L.C. Meza, M.B. Yildirim, A.S. Masud, A multiobjective evolutionary programming algorithm and its applications to power generation expansion planning, IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans, 39(5) (2009) 1086-1096.

[7] G. Liu, H. Sasaki, N. Yorino, Application of network topology to long range composite expansion planning of generation and transmission lines, Electric Power Systems Research, 57(3) (2001) 157-162.

[8] L. Wenyuan, R. Billinton, A minimum cost assessment method for composite generation and transmission system expansion planning, IEEE Transactions on Power Systems, 8(2) (1993) 628-635.

[9] C.H. Antunes, A.G. Martins, I.S. Brito, A multiple objective mixed integer linear programming model for power generation expansion planning, Energy, 29(4) (2004) 613-627.

[10] S. Majumdar, D. Chattopadhyay, A model for integrated analysis of generation capacity expansion and financial planning, IEEE transactions on power systems, 14(2) (1999) 466-471.

[11] H. Khodr, J. Gomez, L. Barnique, J. Vivas, P. Paiva, J. Yusta, A. Urdaneta, A linear programming methodology for the optimization of electric power-generation schemes, IEEE Transactions on Power systems, 17(3) (2002) 864- 869.

[12] H. Tekiner, D.W. Coit, F.A. Felder, Multi-period multi-objective electricity generation expansion planning problem with Monte-Carlo simulation, Electric Power Systems Research, 80(12) (2010) 1394-1405.

[13] C. Unsihuay-Vila, J.W. Marangon-Lima, A.Z. De Souza, I. Perez-Arriaga, Multistage expansion planning of generation and interconnections with sustainable energy development criteria: A multiobjective model, International Journal of Electrical Power & Energy Systems, 33(2) (2011) 258-270.

[14] A. Ramos, I.J. Perez-Arriaga, J. Bogas, A nonlinear programming approach to optimal static generation expansion planning, IEEE Transactions on Power Systems, 4(3) (1989) 1140-1146.

[15] J.-B. Park, Y.-M. Park, J.-R. Won, K.Y. Lee, An improved genetic algorithm for generation expansion planning, IEEE Transactions on Power Systems, 15(3) (2000) 916-922.

[16] J. Sirikum, A. Techanitisawad, Power generation expansion planning with emission control: a nonlinear model and a GA.based heuristic approach, International Journal of Energy Research, 30(2) (2006) 81-99.

[17] B. Alizadeh, S. Jadid, A dynamic model for coordination of generation and transmission expansion planning in power systems, International Journal of Electrical Power & Energy Systems, 65 (2015) 408-418.

[18] Z. Hejrati, E. Hejrati, A. Taheri, Optimization generation expansion planning by HBMO, Optimization, 37(7) (2012) 99-108.

[19] S.-L. Chen, T.-S. Zhan, M.-T. Tsay, Generation expansion planning of the utility with refined immune algorithm, Electric Power Systems Research, 76(4) (2006) 251-258.

[20] B. HEDAYATFAR, A. BARJANEH, Least-Cost Generation Expansion Planning Using an Imperialist Competitive Algorithm, Life Science Journal, 10(8s) (2013).

[21] R.P. Kothari, D.P. Kroese, Optimal generation expansion planning via the cross-entropy method, in: Winter Simulation Conference, Winter Simulation Conference, 2009, pp. 1482-1491.

[22] S. Kannan, S.M.R. Slochanal, P. Subbaraj, N.P. Padhy, Application of particle swarm optimization technique and its variants to generation expansion planning problem, Electric Power Systems Research, 70(3) (2004) 203-210.

[23] M. Jadidoleslam, E. Bijami, N. Amiri, A. Ebrahimi, J. Askari, Application of shuffled frog leaping algorithm to long term generation expansion planning, International Journal of Computer and Electrical Engineering, 4(2) (2012) 115.

[24] M. Jadidoleslam, A. Ebrahimi, Reliability constrained generation expansion planning by a modified shuffled frog leaping algorithm, International Journal of Electrical Power & Energy Systems, 64 (2015) 743-751.

[25] E. Rashedi, H. Nezamabadi-Pour, S. Saryazdi, GSA: a gravitational search algorithm, Information sciences, 179(13) (2009) 2232-2248.

[26] P.K. Roy, Solution of unit commitment problem using gravitational search algorithm, International Journal of Electrical Power & Energy Systems, 53 (2013) 85-94.

[27] P. Roy, B. Mandal, K. Bhattacharya, Gravitational search algorithm based optimal reactive power dispatch for voltage stability enhancement, Electric Power Components and Systems, 40(9) (2012) 956-976.

[28] A. Bhattacharya, P. Roy, Solution of multi-objective optimal power flow using gravitational search algorithm, IET generation, transmission & distribution, 6(8) (2012) 751-763.

[29] IAEA (International Atomic Energy Agency), Wien automatic system planning (WASP) package a computer code for power generating system expansion planning in, Vienna, 2001.

[30] G.M. Cole, Surveyor reference manual, fifth ed., Professional publications Inc. (PPI), 2009.

[31] M. Clerc, J. Kennedy, The particle swarm-explosion, stability, and convergence in a multidimensional complex space, IEEE transactions on Evolutionary Computation, 6(1) (2002) 58-73.

[32] E. Rashedi, H. Nezamabadi-Pour, S. Saryazdi, BGSA: binary gravitational search algorithm, Natural Computing, 9(3) (2010) 727-745.

[33] C. Li, J. Zhou, Parameters identification of hydraulic turbine governing system using improved gravitational search algorithm, Energy Conversion and Management, 52(1) (2011) 374-381.

[34] T.-H. Huynh, A modified shuffled frog leaping algorithm for optimal tuning of multivariable PID controllers, in: Industrial Technology, 2008. ICIT 2008. IEEE International Conference on, IEEE, 2008, pp. 1-6.

[35] A. David, Z. Rongda, An expert system with fuzzy sets for optimal planning (of power system expansion), IEEE Transactions on Power Systems, 6(1) (1991) 59-65.