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Unit commitment with analytic expression of probability reserve by Lagrangian relaxation method

YANG Peng-peng1，HAN Xue-shan1，WANG Jing2，MENG Xing-xin1   

  1. 1. School of Electrical Engineering，Shandong University，Jinan 250061，China；2. Binhai Power Supply Company，Tianjin 300450，China
  • Received:2006-10-25 Revised:1900-01-01 Online:2007-04-24 Published:2007-04-24
  • Contact: YANG Peng-peng

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Abstract: Because of the existing uncertainty in power system operation, it is necessary to consider the risk of unit commitment. However, the relation between unit commitment risk and unit forced outage capacity is discrete, which leads to a difficult combination with the Lagrangian relaxation method of unit commitment. Two kinds of curve fitting forms of the unit commitment risk is analysed, they are gauss function fitting and exponential function fitting. The research shows the results of Gauss function fitting is more accurate than that of the exponential function fitting. By introducing the analytic expressed unit commitment risk constraints into the unit commitment Lagrangian relaxation method, the probability reserve constrained unit commitment problem can be achieved and optimized indeed.

Key words: unit commitment, unit commitment risk, curve fitting, Lagrangian relaxation method , power system

CLC Number: 

  • TM732
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