基于Informer的负荷及光伏出力系数预测  被引量:1

Prediction on loads and photovoltaic output coefficients based on Informer

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作  者:缪月森 夏红军 黄宁洁 李云 周世杰 MIAO Yuesen;XIA Hongjun;HUANG Ningjie;LI Yun;ZHOU Shijie(Yuhang Branch of Hangzhou Electric Power Design Institute Company Limited,Hangzhou 311199,China;Hangzhou Yuhang District Power Supply Company,State Grid Zhejiang Electric Power Company Limited,Hangzhou 311100,China)

机构地区:[1]杭州市电力设计院有限公司余杭分公司,杭州311199 [2]国网浙江省电力有限公司杭州市余杭区供电公司,杭州311100

出  处:《综合智慧能源》2024年第4期60-67,共8页Integrated Intelligent Energy

基  金:浙江大有集团有限公司科技项目(DY2022-21)。

摘  要:为了支持可再生能源的布局及装机容量规划,长时间序列的电力负荷和光伏出力系数预测至关重要。光伏出力系数反映了光伏发电系统实际运行中的发电效率,但由于难以准确预测来年的气象信息,每日最大光伏出力系数的预测具有挑战性。为了克服这个限制,提出了利用每7 d计算1次的每日最大光伏出力系数的最大值和最小值构建一个包络线,通过预测该包络线的上限和下限,提供每日最大光伏出力系数可能的区间。这种包络线建模方式有助于在克服气象信息不确定性的同时提供更为鲁棒和可靠的预测结果。选用Informer模型作为预测框架,并与Transformer,LSTM和RNN模型进行了比较。基于实际电力负荷数据序列和光伏出力系数包络线上、下限数据序列进行仿真试验,验证了Informer模型的可行性和良好的预测精度。A long-term time series forecast on electric loads and photovoltaic output coefficients is crucial for the layout and installed capacity design of renewable energy.A photovoltaic output coefficient can reflect the power-generating efficiency of a photovoltaic system in operation.But the inaccurate prediction on meteorological information brings challenges to the prediction on the maximum daily photovoltaic output coefficient.To overcome the problem,an envelope is constructed based on the maximum and minimal daily photovoltaic output coefficients which are calculated every 7 days.The upper and lower limits of the envelope provide a range of the factor.The envelope can overcome the uncertainties of meteorological information,so as to facilitate the prediction to be more robust and reliable.The Informer model employed as the prediction framework in this study is compared with Transformer,LSTM,and RNN models.A simulation test is carried out on a data sequence of actual electric loads and the upper and lower bounds of the photovoltaic output coefficients'envelope.The results validate the feasibility and outstanding prediction accuracy of the Informer model.

关 键 词:可再生能源 负荷预测 光伏出力系数 Informer模型 长时间序列预测 装机容量规划 

分 类 号:TK01[动力工程及工程热物理] TM615[电气工程—电力系统及自动化]

 

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