Load Shedding Design for an Industrial Cogeneration System

نویسندگان

  • Mukesh Kumar Kirar
  • Renuka Kamdar
  • Manoj Kumar
چکیده

This paper presents transient stability analysis and enhancement of Industrial Cogeneration Plant (ICP) using Artificial Neural Network (ANN) based adaptive load shedding. By selecting the total in-plant generation, spinning reserve, total plant load and rate of change of frequency as the input neurons of the ANN, the minimum amount of load shedding is determined to maintain in-plant load-generation equilibrium and to ensure continuity of power supply to critical loads of the plant. The comparison of under frequency relay based load shedding and ANN based adaptive load shedding is also preformed to evaluate effectiveness of the ANN based Load Shedding. The system frequency response for deferent generation-load scenarios is also determined. The industrial cogeneration is simulated on ETAP software and transient stability is analyzed by considering various contingencies and load-generation scenarios. ANN has been implemented on MATLAB.

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تاریخ انتشار 2013