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计及NWP风速横纵向误差的循环确定性策略梯度风速修正模型

黄南天 唐立鹏 戴千斌

电力系统保护与控制2024,Vol.52Issue(23):10-21,12.
电力系统保护与控制2024,Vol.52Issue(23):10-21,12.DOI:10.19783/j.cnki.pspc.240541

计及NWP风速横纵向误差的循环确定性策略梯度风速修正模型

Wind speed correction method for numerical weather prediction based on a recurrent deterministic policy gradient algorithm considering lateral and longitudinal error

黄南天 1唐立鹏 1戴千斌2

作者信息

  • 1. 现代电力系统仿真控制与绿色电能新技术教育部重点实验室(东北电力大学),吉林 吉林 132012
  • 2. 辽宁蒲石河抽水蓄能有限公司,辽宁 丹东 118216
  • 折叠

摘要

Abstract

The current numerical weather prediction(NWP)wind speed correction methods are based on the amplitude characteristic evaluation modeling of the longitudinal error.They ignore the potential impact of the lateral error caused by the lead or delay effect between the NWP wind speed series and historical wind speed series on NWP wind speed correction.Therefore,an NWP wind speed reinforcement correction method based on the recurrent deterministic policy gradient(RDPG)algorithm and considering lateral and longitudinal errors is proposed.First,based on weighted Euclidean distance similarity,the lead/lag timing interval(LLTI)boundary of each NWP wind speed to be corrected is determined to form a strongly correlated timing interval.Subsequently,the statistical characteristics of the LLTI are used to replace the original meteorological characteristics of the NWP.Based on the Shapley additive explanations(SHAP)attribution theory,the influence of different features on the model output is evaluated using the marginal contribution of each feature.Finally,an NWP wind speed correction model based on the RDPG is established.Through an example analysis,the effectiveness and feasibility of the proposed method for modifying the NWP wind speed on different time scales of ultra-short-term and short-term predictions are verified.

关键词

数值天气预报/横向误差/纵向误差/超前/滞后时序区间/循环确定性策略梯度

Key words

numerical weather prediction/longitudinal error/lateral error/lead/lag timing interval/recurrent deterministic policy gradient

引用本文复制引用

黄南天,唐立鹏,戴千斌..计及NWP风速横纵向误差的循环确定性策略梯度风速修正模型[J].电力系统保护与控制,2024,52(23):10-21,12.

基金项目

This work is supported by the Science and Technology Development Plan of Jilin Province(No.20210201126GX). 吉林省科技发展计划项目资助(20210201126GX) (No.20210201126GX)

电力系统保护与控制

OA北大核心CSTPCD

1674-3415

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