USING ARTIFICIAL NEURAL NETWORK AND MONTE-CARLO TECHNIQUE FOR FINDING THE SOLUTION OF ECONOMIC THERMAL POWER DISPATCH

@inproceedings{Rani2015USINGAN,
  title={USING ARTIFICIAL NEURAL NETWORK AND MONTE-CARLO TECHNIQUE FOR FINDING THE SOLUTION OF ECONOMIC THERMAL POWER DISPATCH},
  author={A. SheelaVimala Rani},
  year={2015}
}
The main objectives of this paper include:(i) Calculating coefficient of variation for each generator using Monte–Carlo technique. (ii) Calculating a penalty term using Artificial Neural Network (ANN). This penalty term is used for risk management in this method. (iii) Using Lagrange Multiplier technique for finding optimal dispatch of Thermal Power System. This paper focuses on finding the optimal schedule of generation considering uncertainties. These uncertainties are represented as risk… CONTINUE READING

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