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This paper proposes a mixed-integer stochastic programming approach to the solution of generation and transmission line expansion planning problem including consideration of system reliability. Favorable system reliability and cost trade off is achieved by the optimal solution. The problem is formulated as a two-stage recourse model where random uncertainties in area generation, transmission lines,...
This paper investigates system-wide reliability constrained composite system generation expansion problem. Using stochastic programming framework, the problem is formulated as a two-stage recourse model. Reliability indexes are system expected unserved energy cost in the objective function and system expected power loss in the constraint. The objective of this study is to determine if a solution from...
This paper proposes a mixed-integer stochastic programming approach to the solution of generation and transmission line expansion planning problem including consideration of system reliability. Favorable system reliability and cost trade off is achieved by the optimal solution. The problem is formulated as a two-stage recourse model where random uncertainties in area generation, transmission lines,...
This paper proposes a solution approach for the optimal capacity planning problem in multi-area power systems in the presence of randomness in the availability of additional units. The problem is formulated as a two-stage recourse model in the mixed-integer stochastic programming framework. The uncertainties in area generation, transmission lines, and load are incorporated in the model and characterized...
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