基于多元储能的综合能源系统多时间尺度优化运行研究

郭云峰; 钱江波; 刘奥; 吴迪

doi:doi:10.19912/j.0254-0096.tynxb.2024-1163

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基于多元储能的综合能源系统多时间尺度优化运行研究

更新时间：2025-12-10

- 基于多元储能的综合能源系统多时间尺度优化运行研究
- Issue 11, Pages: 461-469(2025)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：doi:10.19912/j.0254-0096.tynxb.2024-1163
  CLC： K01
- Published Online：04 December 2025，
  
  Published：04 December 2025
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郭云峰, 钱江波, 刘奥, et al. 基于多元储能的综合能源系统多时间尺度优化运行研究[J]. 2025, (11): 461-469.
DOI：

郭云峰, 钱江波, 刘奥, et al. 基于多元储能的综合能源系统多时间尺度优化运行研究[J]. 2025, (11): 461-469. DOI： doi:10.19912/j.0254-0096.tynxb.2024-1163.

摘要

为解决可再生能源消纳水平低和用户负荷波动所造成的源-荷供需不平衡的问题

以三阶段多时间尺度方法为研究环境

其中日前、日内、实时优化的时间尺度分别为1 h、15 min、1 min

逐级优化系统中各设备出力计划。实时在日内规划的各设备出力计划上

增加超级电容设备

完善系统中储电设备的种类。利用变分模态分解（VMD）分频技术将系统的差额功率分为高频和低频信号

对能量型和功率型两种储电设备重新进行调峰调频。结果表明

实时优化阶段增加超容后可节省90%的锂电池充放电成本

充放电次数由131次减少到13次

可降低整个系统的日运行成本。

Abstract

To tackle the challenge of source-load imbalance caused by the underutilization of renewable energy and the variability in user demand

this research introduces a multi-time scale optimization strategy for an integrated energy system featuring multiple energy storage units. The proposed strategy employs a systematic three-tier optimization framework

designated as “day-ahead—intra-day—real-time peak regulation and frequency modulation”. This framework meticulously refines the operational plans for all system components at different stages. Specifically

the day-ahead optimization operates on a 1-hour time scale

the intra-day optimization on a 15-minute interval

and the real-time adjustment on a 1-minute cycle. In real-time planning

supercapacitor（SC） equipment is incorporated into the output plan for each day-intra equipment schedule

employing variational mode decomposition（VMD） frequency division technology. The system’s differential power is divided into high-frequency and low-frequency components

and both the energy-type and power-type storage devices are reconfigured. Through this process

the study determines the optimal VMD frequency-dirition ration. The results show that the charge and discharge cost of the lithium-ion battery can be saved 90% by increasing the supercapacitor in the real-time optimization stage

and the charge and discharge times are reduced from 131 to 13 times.

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references

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