Analysis on Scheduled Trading Interval Optimization Based on Pricing Strategy of Adjustable Load
|更新时间:2025-11-18
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Analysis on Scheduled Trading Interval Optimization Based on Pricing Strategy of Adjustable Load
Vol. 42, Issue 2, Pages: 11-16(2022)
作者机构:
1. 国网安徽电力公司电力交易中心
2. 合肥工业大学电气与自动化工程学院
作者简介:
基金信息:
DOI:
CLC:F426.61;TM73
Published:2022
稿件说明:
移动端阅览
ZHOU Tao, QIAN Hanhan, ZHANG Wei, et al. Analysis on Scheduled Trading Interval Optimization Based on Pricing Strategy of Adjustable Load[J]. 2022, 42(2): 11-16.
DOI:
ZHOU Tao, QIAN Hanhan, ZHANG Wei, et al. Analysis on Scheduled Trading Interval Optimization Based on Pricing Strategy of Adjustable Load[J]. 2022, 42(2): 11-16.DOI:
Analysis on Scheduled Trading Interval Optimization Based on Pricing Strategy of Adjustable Load
the fitting model between the prediction accuracy and the scheduled trading interval is proposed based on the least square method
in order to refine the load forecasting model. Considering the cost of the adjustable load
its pricing model related to the scheduled trading interval is proposed. Considering the penalty price of the prediction deviation
an optimization model is proposed to determine the optimal scheduled trading interval with the least total cost of the power retail company. The simulation results show that pricing to the adjustable load has larger impact on the total cost than the penalty price. The total cost of the distribution company can be reduced by selecting the users with large adjustable load capacity
small actual load regulation and long dispatch time when the load regulation quantity is determined.