Improved multi-objective evolutionary algorithm for day-ahead thermal generation scheduling

@article{Trivedi2011ImprovedME,
  title={Improved multi-objective evolutionary algorithm for day-ahead thermal generation scheduling},
  author={Anupam Trivedi and Naran M. Pindoriya and Dipti Srinivasan and Deepak Sharma},
  journal={2011 IEEE Congress of Evolutionary Computation (CEC)},
  year={2011},
  pages={2170-2177}
}
This paper presents a multi-objective evolutionary algorithm to solve the day-ahead thermal generation scheduling problem. The objective functions considered to model the scheduling problem are: 1) minimizing the system operation cost and 2) minimizing the emission cost. In the proposed algorithm, the chromosome is formulated as a binary unit commitment matrix (UCM) which stores the generator on/off states and a real power matrix (RPM) which stores the corresponding power dispatch. Problem… CONTINUE READING

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