[1] M. Shahidehpour, H. Yamin and Z. Li, “Market operations in electric power systems, forecasting, scheduling, and risk management”, John Wiley & Sons Ltd-IEEE Press, New York, 2002.
[2] A. Wood and B. Wollenberg, “Power generation operation and control”, John Wiley & Sons Ltd, New York, 2013.
[3] M. Masouleh, et al., “Mixed-integer programming of stochastic hydro self-scheduling problem in joint energy and reserves markets,”
Electr. Power Compon. Syst., vol. 44, pp. 752-762, 2016.
[4] L. Lakshminarasimman and S. Subramanian, “Short-term scheduling of hydro-thermal power system with cascaded reservoirs by using modified differential evolution,”
IEEE. Proc. Gener. Transm. Distrib., vol. 153,pp. 693-700, 2006.
[5] A.
Esmaeily et al., “Evaluating the effectiveness of mixedinteger linear programming for day-A head hydro-thermal selfscheduling considering price uncertainty and forced outage rate,”
Energy, vol.
122, pp. 182-193, 2017.
[6] S. Bisanovic, M. Hajro and M. Dlakic, “Hydro-thermal self-scheduling problem in a day-ahead electricity market ”,
Electr. Power Syst. Res. vol. 78, pp.1579-1596, 2008.
[7] M. Shahidehpour and M. Alomoush, “Restructured electrical power systems, Marcel Dekker”, New York, 2001
[8] M. Giuntoli, “A novel mixed-integer linear algorithm to generate unit commitment and dispatching scenarios for reliability test grids”,
Inter. Rev. Electr. Eng., vol. 6, pp. 1971-1982, 2011.
[9] Q. Zeng, J. Wang and AL. Liu, “Stochastic optimization for unit commitment- A review”,
IEEE Trans. Power Syst., vol. 30, 2014.
[10] M. Gavrilas and V. Stahie, “Cascade hydro-power plants Optimization with honey bee mating optimization algorithm”,
Inter. Rev. Electr. Eng., vol. 6, 2011.
[11] A. Mezger and K. Almeida, “Short-term hydro-thermal scheduling with bilateral transactions via bundle Method ”,
Electr. Power Energy Syst., vol. 29, pp. 387-396, 2007.
[12] A. Conejo, J. Arroyo, J. Contreras and F. Villamor, “Self-schedulingof a hydro producer in A pool-based electricity market”,
IEEE Trans. Power Syst., vol. 17, pp.1265-1272, 2002.
[13] M. Karami, H. A. Shayanfar, J. Aghaei and A. Ahmadi, “Scenario-based security constrained hydro-therm coordination with volatile wind power generation”,
Renewable Sustain. Energy Rev., vol. 28, pp.726-737,2013.
[14] J. Aghaei, A. Ahmadi and H. A. Shayanfar and A. Rabiee, “A Mixed-integer programming of generalized hydro-Thermal self-scheduling of generating units”,
Electr. Eng., vol. 95, no. 2, pp.109–125,2013.
[15] A. Ahmadi, J. Aghaei, H. A. Shayanfar and A. Rabiee, “A Mixed-integer programming of multi-objective hydro-thermal self-scheduling”,
Appl. Soft Comput. ,vol. 12, pp.2137-2146,2012.
[16] UN, “World population prospects”, the 2008 revision highlights. New York ,United Nations. Department of Economic and Social Affairs. Population Division , 2009.
[17] D. Connolly, H. Lund, B. Mathiesen and M. Leahy, “A review of computer tools for analyzing the integration of renewable energy into various energy systems”,
Appl. Energy., vol. 87, pp.1059-1082, 2010.
[18] A. Foley, P. Leahy, K. Li, E. McKeogh and A. Morrison, “Along term analysis of pumped hydro storage to firm wind power”,
Appl Energy. vol. 137, pp. 638-648, 2015.
[19] P. Ilak, I. Rajsl, S. Krajcar and M. Delimar, “The impact of a wind variable generation on the hydro generation water shadow price”,
Appl. Energy., vol. 154, pp.197-208, 2015.
[20] K. Wang, X. Luo, L. Wu and X. Liu, “Optimal coordination of wind-hydro-thermal based on water complementing wind”,
Renew. Energy., vol. 60, pp.169-178, 2013.
[21] E. Castronuovo and J. Lopes, “On the optimization of the daily operation of a wind-hydro power plant”,
IEEE Trans. Power Syst., vol. 19 , pp.1599-1606, 2004.
[22] Z. Jianzhong, et al., “Short-term hydro-thermal-wind complementary scheduling considering uncertainty ofwind power using an enhanced multi-objective bee colony optimization algorithm”,
Energy Convers. Manage., vol. 123, pp.116-129, 2016.
[23] H. Pousinho, V. Mendes and J. Catalão, “A risk-averse optimization model for trading wind energy in a market environment under uncertainty”,
Energy, vol. 36, pp. 4935-4942, 2011.
[24] J. Catalão, H. Pousinho and J. Contreras, “Optimal hydro scheduling and offering strategies considering price uncertainty and risk management”,
Energy., vol. 37, pp. 237-244, 2012.
[25] L. Wu, M. Shahidehpour and T. Li, “GENCO’s risk- based maintenance outage scheduling”,
IEEE Trans. Power Syst., vol. 23, pp. 127-136, 2008.
[26] L. Wu, M. Shahidehpour, Z. Li, “GENCOʼs risk-constrained Hydro-thermal scheduling”,
IEEE Trans. Power Syst. vol. 23, pp.1847-1858, 2008.
[27] C. Tseng and W. Zhu, “Optimal self-scheduling and bidding strategy of a thermal unit subject to ramp constraints and price uncertainty”,
IET Gener. Transm. Distrib., vol. 4, pp. 125-137, 2010.
[28] Swedish Energy Agency, “Energy in Sweden 2010, Facts and Figures”, 2010.
[29] H. Moghimi, A. Ahmadi, A. Aghaei and M. Najafi, “Risk constrained self-scheduling of hydro-wind units for short term electricity markets considering intermittency and uncertainty”,
Renewable. Sustain. Energy Rev., vol. 16, pp. 4734-4743, 2012.
[30] G. Shrestha, S. Kai and L.Goel, “An efficient stochastic Self-scheduling technique for power producers in the deregulated power market”,
Elect. Power Syst. Res., vol. 71, pp. 91-98, 2004.
[31] M. Li, Y. Li and G. Huang, “An interval fuzzy two-stage stochastic programming model for planning carbon dioxid etrading under uncertainty”,
Energy, vol. 36, pp. 5677-5689, 2011.
[32] K. Meng, H. Wang, Z. Dong and W. KP, “Quantum inspired particle swarm optimization for valve point economic load dispatch”,
IEEE Trans. Power Syst., vol. 25, pp. 215-222, 2010.
[33] T. Li and M. Shahidehpour, “Dynamic ramping in unit commitment”,
IEEE Trans. Power Syst., vol. 22, pp.1379-1381, 2007.
[34] M. Karami, H.A. Shayanfar, J. Aghaei and A. Ahmadi, “Mixed-integer programming of security-constrained daily hydro-thermal generation scheduling”,
Sci. Iran. Vol. 20, pp. 2036-2050, 2013.
[35] A. Ahmadi, M. Charwand and J. Aghaei, “Risk-constrained optimal strategy for retailer forward contract portfolio”,
Int. J. Elect. Power Energy Syst., vol. 53, pp. 704-713, 2013.
[36] H. Wei, et al., “Short-term optimal operation of hydro-wind-solar hybrid system with Improved generative adversarial networks”,
Appl. Energy, vol. 250, pp. 389-403, 2019.
[37] G. Díaz, J. Coto and J. Aleixandre, “Optimal operation value of combined wind power and Energy storage in multi-stage electricity markets”,
Appl. Energy, vol. 235, pp.1153-1168, 2019.
[38] E. Akbari, R. Hooshmand, M. Gholipour and M. Parastegari, “Stochastic programming-based optimal bidding of compressed air energy storage with wind and thermal generation units in energy and reserve market”,
Energy, vol. 171, pp. 535-546, 2019.
[39] J. Xu, F. Wang, C. Lv, Q. Huang and H. Xie, “Economic-environmental equilibrium based optimal scheduling strategy towards wind-Solar-thermal power generation system under limitedresources”,
Appl. Energy, vol. 231, pp. 355-371, 2018.
[40] S. Zabetian and M. Oloomi, “How does large-scale wind power generation affect energy and reserve prices”,
J. Oper. Autom. Power Eng., vol. 6, pp.169-182, 2018.
[41] L.Wu, M. Shahidehpour and T. Li, “Stochastic security-constrained unit commitment”,
IEEE Trans. Power Syst., vol. 22, pp. 800-811, 2007.
[42] L.Wu, M. Shahidehpour and T. Li, “Cost of reliability Analysis based on stochastic unit commitment”,
IEEE Trans. Power Syst., vol. 23, pp.1364-1374, 2008.
[43] N.Amjady, J. Aghaei and H. A. Shayanfar, “Stochastic multi-objective market clearing of joint energy and reserves auctions ensuring power system security”,
IEEE Trans. Power Syst., vol. 24, pp.1841-1854, 2009.
[44] I. Damousis, A. Bakirtzis and P. Dokopolous, “A solution to the unit-commitment problem using integer coded genetic algorithm”,
IEEE Trans. Power Syst., vol. 19, pp.198-205, 2003.
[45] O. Nilsson and D.Sjelvgren, “Hydro unit start-up costs and their impact on the short-term scheduling strategies of swedish power producers”,
IEEE Trans. Power Syst. vol.12, pp. 38-44, 1997.
[46] H. Daneshi, A. Choobbari, M. Shahidehpour and Z. Li, “Mixed-integer programming method to solve security constrained unit commitment with restricted operating zone limits”,
IEEE Int. Con. EIT., pp.187-192, 2008.
[47] M. AlRashidi and M. El-Hawary, “Hybrid particle swarm optimization approach for solving the discrete OPF problemconsidering the valve loading effects”,
IEEE Trans. Power Syst., vol. 22, pp. 2030-2038, 2007.
[48] T. Li and M. Shahidehpour, “Price-based unit commitment: a case of lagrangian relaxation versus mixed-integer Programming”,
IEEE Trans. Power Syst., vol. 20, pp. 2015-2025, 2005.
[49] J. Arroyo and A. Conejo, “Optimal response of a thermal unit to an electricity spot market”,
IEEE Trans. Power Syst., vol. 15, pp. 1098-1104, 2000.
[51] http : / / motor. ece.iit.edu / data / PBUC data . pdf. Also Market price is from http : / /motor . ece .iit.edu / data /PBUC data.pdf.
[54] B. Brown, R. Katz and A. Murph, “Timeseries models To simulateand forecast wind speed and wind power”,
J. Appl. Meteorol., Vol. 23, pp.1184-1195, 1984.