- Kirschen, D.S. and G. Strbac, Fundamentals of power system economics. 2018: John Wiley & Sons.
- Conejo, A.J., M. Carrión, and J.M. Morales, Decision making under uncertainty in electricity markets. Vol. 1. 2010: Springer.
- Ci-ling, Z. and X. Pei-yuan. Stochastic non-linear Nash Game in multi-zone electricity markets. in 2008 China International Conference on Electricity Distribution. 2008.
- Dai, T. and W. Qiao. Optimal bidding strategy of a strategic wind power producer in the short-term market. in 2016 IEEE Power and Energy Society General Meeting (PESGM). 2016. IEEE.
- Gountis, V.P. and A.G. Bakirtzis, Bidding strategies for electricity producers in a competitive electricity marketplace. IEEE Transactions on Power Systems, 2004. 19(1): p. 356-365.
- Mozdawar, A. and B. Khaki. Strategic bidding in pay as bid power market by combined probabilistic and game theory procedures. in 2009 IEEE Bucharest PowerTech. 2009. IEEE.
- Ma, X., et al., Towards the development of risk-constrained optimal bidding strategies for generation companies in electricity markets. Electric power systems research, 2005. 73(3): p. 305-312.
- Kumar, J.V. and D.V. Kumar. Risk-constrained bidding strategy for Generation Companies in an open electricity market using Fuzzy Adaptive Particle Swarm Optimization. in 2011 International Conference on Energy, Automation and Signal. 2011. IEEE.
- Langary, D., N. Sadati, and A.M. Ranjbar, Direct approach in computing robust Nash strategies for generating companies in electricity markets. International Journal of Electrical Power & Energy Systems, 2014. 54: p. 442-453.
- Li, G., J. Shi, and X. Qu, Modeling methods for GenCo bidding strategy optimization in the liberalized electricity spot market–A state-of-the-art review. Energy, 2011. 36(8): p. 4686-4700.
- Mozdawar, A., et al. Game based strategic bidding in pay as bid markets considering incomplete information and risk factor. in 2009 International Conference on Power Engineering, Energy and Electrical Drives. 2009. IEEE.
- Boonchuay, C. and W. Ongsakul, Risk-constrained optimal bidding strategy for a generation company using self-organizing hierarchical particle swarm optimization. Applied Artificial Intelligence, 2012. 26(3): p. 246-260.
- Takano, Y., N. Ishii, and M. Muraki, A sequential competitive bidding strategy considering inaccurate cost estimates. Omega, 2014. 42(1): p. 132-140.
- Da-Wei, H. and H. Xue-Shan. Study on generation companies' bidding strategy based on hybrid intelligent method. in 2009 Ninth International Conference on Hybrid Intelligent Systems. 2009. IEEE.
- Ma, X. and T. Shi. Credibility theory based approach to build optimal bidding strategies with risk management for generation companies. in 2008 IEEE Power and Energy Society General Meeting-Conversion and Delivery of Electrical Energy in the 21st Century. 2008. IEEE.
- Li, Y.-p. and X.-g. Li. Power supplier’s risk types and optimal asset management reckon in biding failure. in 2008 Third International Conference on Electric Utility Deregulation and Restructuring and Power Technologies. 2008. IEEE.
- Jain, A., et al. Bacteria foraging optimization algorithm based strategic bidding in electricity markets. in 2014 Eighteenth National Power Systems Conference (NPSC). 2014. IEEE.
- Baringo, L. and A.J. Conejo, Offering strategy of wind-power producer: A multi-stage risk-constrained approach. IEEE Transactions on Power Systems, 2015. 31(2): p. 1420-1429.
- Zareian Jahromi et al., Robust multi-objective optimization model in sustainable closed loop supply chain design, Industrial engineering researches in production systems, 2014, 2(3): p. 93-111. (In Persian)
- Rafiei, M., Mohammadi Talab, A., Presenting a mathematical model with a robust optimization approach for the design of a dynamic cellular manufacturing system considering multi-tasking machines, Industrial engineering researches in production systems, 2016, 4(9): p. 281-295. (In Persian)
- Jalilvand-Nejad, A., R. Shafaei, and H. Shahriari, A Genco self-scheduling problem with correlated prices using a new robust optimization approach. International Journal of Production Research, 2017. 55(11): p. 3249-3265.
- Rahimiyan, M. and L. Baringo, Strategic bidding for a virtual power plant in the day-ahead and real-time markets: A price-taker robust optimization approach. IEEE Transactions on Power Systems, 2015. 31(4): p. 2676-2687.
- Thatte, A.A., D.E. Viassolo, and L. Xie. Robust bidding strategy for wind power plants and energy storage in electricity markets. in 2012 IEEE Power and Energy Society General Meeting. 2012. IEEE.
- Zugno, M. and A.J. Conejo, A robust optimization approach to energy and reserve dispatch in electricity markets. European Journal of Operational Research, 2015. 247(2): p. 659-671.
- Grigg, C., et al., The IEEE reliability test system-1996. A report prepared by the reliability test system task force of the application of probability methods subcommittee. IEEE Transactions on power systems, 1999. 14(3): p. 1010-1020.
- Kardakos, E.G., C.K. Simoglou, and A.G. Bakirtzis, Optimal bidding strategy in transmission-constrained electricity markets. Electric Power Systems Research, 2014. 109: p. 141-149.
- Wood, A.J., B.F. Wollenberg, and G.B. Sheblé, Power generation, operation, and control. 2013: John Wiley & Sons.
- Taha, H.A. and H.A. Taha, Operations research: an introduction. Vol. 7. 2003: Prentice hall Upper Saddle River, NJ.
- Mulvey, J.M., R.J. Vanderbei, and S.A. Zenios, Robust optimization of large-scale systems. Operations research, 1995. 43(2): p. 264-281.
- Rahmani, D., et al., A robust optimization model for multi-product two-stage capacitated production planning under uncertainty. Applied Mathematical Modelling, 2013. 37(20-21): p. 8957-8971
|