Partition based cascaded generator scheduling with constraints for large power networks

Power systems are on the cusp of a rapid technological, economic and environmental evolution. Classical problems must naturally adapt to new requirements taking into account enormous growth in the number of distributed generation plants. Physical and computational constraints within the new landscape must be revisited. In this paper, we focus on the generator scheduling problem in smart grid incorporating the novel constraints of transmission line capacity limits and policy to provide a more comprehensive view for planning in the smart grid. Given the mammoth size of the power networks, we propose a computationally efficient partition-based scheduling scheme. A case study based on IEEE 300 bus test system shows the advantage of the proposed scheme.