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To address the problem of enhancing renewable energy consumption, a method of dividing the trading curve into peak and valley flat segments is designed. Firstly, a method of dividing the peak and valley periods based on the s the net load curve is proposed. Secondly, considering the degree of contribution of loads to peak and valley affiliation in different time periods, the classification effect evaluation function is introduced. With the objective of optimizing the effect of peak and valley segmentation, a trading curve segmentation method that takes into account the seasonal difference between supply and demand is established. Simulation results show that the proposed time period division method is suitable for the grid operation characteristics and can meet the market demand.

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Trading Curve Division Methods Considering Seasonal Variability in Supply and Demand

  • 会议论文

  • 发表日期：

    2025年

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  • Tong Xing,
  • Liangqi Si,
  • Jianyue Jiao

摘要

To address the problem of enhancing renewable energy consumption, a method of dividing the trading curve into peak and valley flat segments is designed. Firstly, a method of dividing the peak and valley periods based on the s the net load curve is proposed. Secondly, considering the degree of contribution of loads to peak and valley affiliation in different time periods, the classification effect evaluation function is introduced. With the objective of optimizing the effect of peak and valley segmentation, a trading curve segmentation method that takes into account the seasonal difference between supply and demand is established. Simulation results show that the proposed time period division method is suitable for the grid operation characteristics and can meet the market demand.