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This paper proposes an enhanced merit order (EMO) and augmented Hopfield Lagrange neural network (ALH) for solving ramp rate constrained unit commitment (RUC) problem. The proposed EMO-ALH minimizes the total production cost subject to the power balance, 15 minute spinning reserve response time constraint, generation ramp limit constraints, and minimum up and down time constraints. The EMO is a merit...
This paper presents the results of a simulation of system operation in the Netherlands in the presence of future large-scale wind energy production. The study is aimed at identifying bottlenecks in system planning and operation due to wind integration, in particular base-load and ramp rate problems. These may constraint the amount of wind that can be accommodated given a projected production park...
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