Comparative study of system-wide reliability-constrained generation expansion problem
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[1] David P. Morton,et al. Monte Carlo bounding techniques for determining solution quality in stochastic programs , 1999, Oper. Res. Lett..
[2] Alexander Shapiro,et al. The Sample Average Approximation Method Applied to Stochastic Routing Problems: A Computational Study , 2003, Comput. Optim. Appl..
[3] C. Singh,et al. Multi-Area Generation Adequacy Planning Using Stochastic Programming , 2006, 2006 IEEE PES Power Systems Conference and Exposition.
[4] Chanan Singh,et al. Composite system reliability evaluation using state space pruning , 1997 .
[5] Mo-Yuen Chow,et al. A review of emerging techniques on generation expansion planning , 1997 .
[6] P. Jirutitijaroen,et al. Reliability and cost tradeoff in multiarea power system generation expansion using dynamic programming and global decomposition , 2006, IEEE Transactions on Power Systems.
[7] Chanan Singh,et al. Pruning and simulation for determination of frequency and duration indices of composite power systems , 1999 .
[8] J. Eto,et al. A framework and review of customer outage costs: Integration and analysis of electric utility outage cost surveys , 2003 .
[9] L. Legey,et al. Generation Expansion Planning: An Iterative Genetic Algorithm Approach , 2002, IEEE Power Engineering Review.
[10] Fei Zeng,et al. Adequacy and responsibility of locational generation and transmission-optimization procedures , 2004, IEEE Transactions on Power Systems.
[11] Mohammad Shahidehpour,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 , 1999 .
[12] Chanan Singh,et al. Composite-System Generation Adequacy Planning Using Stochastic Programming with Sample-Average Approximation , 2008 .
[13] P. Jirutitijaroen,et al. Reliability constrained multi-area adequacy planning using stochastic programming with sample-average approximations , 2008, 2008 IEEE Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century.
[14] Alexander Shapiro,et al. The empirical behavior of sampling methods for stochastic programming , 2006, Ann. Oper. Res..
[15] Chanan Singh,et al. The extended decomposition-simulation approach for multi-area reliability calculations , 1990 .
[16] S. Kannan,et al. Application and comparison of metaheuristic techniques to generation expansion planning problem , 2005, IEEE Transactions on Power Systems.
[17] L. L. Garver,et al. Effective Load Carrying Capability of Generating Units , 1966 .
[18] John R. Birge,et al. Introduction to Stochastic Programming , 1997 .