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作 者:周涛 钱寒晗 张纬 胡涛 李生虎[2] ZHOU Tao;QIAN Hanhan;ZHANG Wei;HU Tao;LI Shenghu(State Grid Anhui Electric Power Company Power Exchange Center,Hefei 230061,China;School of Electrical Engineering and Automation,Hefei University of Technology,Hefei 230009,China)
机构地区:[1]国网安徽电力公司电力交易中心,安徽合肥230061 [2]合肥工业大学电气与自动化工程学院,安徽合肥230009
出 处:《湖南电力》2022年第2期11-16,共6页Hunan Electric Power
基 金:安徽省电力交易中心科技项目(B61213210009)。
摘 要:为细化负荷预测模型,基于最小二乘法建立负荷预测精度与交易时间的拟合模型。考虑可调负荷成本,提出与交易时间相关的可调负荷定价模型。考虑预测偏差惩罚价格,优化预期交易时间,使得售电公司总成本最小。仿真结果表明,相比偏差惩罚,可调负荷定价对总成本影响更大。在负荷调节电量确定时,优先选取可调负荷容量大、实际负荷调节量小、调度时间长的用户,可减小售电公司总成本。In this paper,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.
关 键 词:电力零售市场 可调负荷 预期交易时间 定价策略 负荷预测偏差 优化
分 类 号:TM714[电气工程—电力系统及自动化]
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