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考虑热网特性的综合能源系统混合时间尺度调度方法

郭斯琦 楼劲 郑凌蔚

电力建设2024,Vol.45Issue(12):16-26,11.
电力建设2024,Vol.45Issue(12):16-26,11.DOI:10.12204/j.issn.1000-7229.2024.12.002

考虑热网特性的综合能源系统混合时间尺度调度方法

Hybrid Time Scale Scheduling Method for Integrated Energy Systems Considering the Characteristics of Heating Networks

郭斯琦 1楼劲 1郑凌蔚1

作者信息

  • 1. 杭州电子科技大学自动化学院,杭州市 310018
  • 折叠

摘要

Abstract

Most studies have been conducted from the perspective of multiple time scheduling scales to address the impact of renewable energy uncertainty on the scheduling of integrated energy systems.However,this method only sets multiple time scheduling steps from a time domain perspective,ignores the frequency domain information of renewable energy output,and does not consider the operational characteristics of the heating network under different time scales.Therefore,in this study,a hybrid time scale scheduling method for integrated energy systems that considers the characteristics of the heating network is proposed.First,time-frequency decomposition is performed on the output signal of renewable energy,and a time-sharing scheduling step function for electricity scheduling is constructed based on instantaneous frequency to form a nonuniformly mixed scheduling step on the grid side.Based on the power scheduling step,different heat transfer models are selected according to the operational characteristics of the heating network under different scheduling steps.Finally,the calculation results show that the proposed method can save an average cost of 9.5%in summer and 6%in winter.The average time savings compared to a 15-min scheduling step are 47.8%in sunny summer and 39.4%in sunny winter,indicating the effectiveness of this method in reducing costs and computing time.

关键词

可再生能源/时频分解/非均匀混合调度步长/热网特性/综合能源系统

Key words

renewable energy/time-frequency decomposition/nonuniformly mixed scheduling step size/heating network characteristics/integrated energy system

分类

信息技术与安全科学

引用本文复制引用

郭斯琦,楼劲,郑凌蔚..考虑热网特性的综合能源系统混合时间尺度调度方法[J].电力建设,2024,45(12):16-26,11.

基金项目

This work is supported by the Natural Science Foundation of Zhejiang Province(No.LY24F030010). 浙江省自然科学基金资助项目(LY24F030010) (No.LY24F030010)

电力建设

OA北大核心CSTPCD

1000-7229

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