Real-time Active Power Regulation and Control Strategy for Wind-Photovoltaic-Hydro-Thermal-Storage Integrated Energy Base

LI Bin; LU Guangzhen; LI Peijie; YANG Yude; LU Zheng

doi:10.7500/AEPS20241122002

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Real-time Active Power Regulation and Control Strategy for Wind-Photovoltaic-Hydro-Thermal-Storage Integrated Energy Base

Engineering Application | 更新时间：2026-02-28

- Real-time Active Power Regulation and Control Strategy for Wind-Photovoltaic-Hydro-Thermal-Storage Integrated Energy Base
- Automation of Electric Power Systems Vol. 50, Issue 2, Pages: 188-196(2026)
- 作者机构：
  
  广西电力系统最优化与节能技术重点实验室（广西大学），广西壮族自治区南宁市 530004
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China(52267006)
- DOI：10.7500/AEPS20241122002
  CLC：
- Received：22 November 2024，
  
  Revised：2025-08-25，
  
  Online First：10 December 2025，
  
  Published：25 January 2026
- 稿件说明：
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李滨,陆光榛,李佩杰等.“风光水火储一体化”能源基地有功功率实时协调控制策略[J].电力系统自动化,2026,50(2):188-196.

LI Bin,LU Guangzhen,LI Peijie,et al.Real-time Active Power Regulation and Control Strategy for Wind-Photovoltaic-Hydro-Thermal-Storage Integrated Energy Base[J].Automation of Electric Power Systems,2026,50(2):188-196.
李滨,陆光榛,李佩杰等.“风光水火储一体化”能源基地有功功率实时协调控制策略[J].电力系统自动化,2026,50(2):188-196. DOI： 10.7500/AEPS20241122002.

LI Bin,LU Guangzhen,LI Peijie,et al.Real-time Active Power Regulation and Control Strategy for Wind-Photovoltaic-Hydro-Thermal-Storage Integrated Energy Base[J].Automation of Electric Power Systems,2026,50(2):188-196. DOI： 10.7500/AEPS20241122002.

摘要

在“风光水火储一体化”能源基地中，增强风光发电的可控性以及为电力系统提供优质辅助服务的关键在于各类能源的协调控制。现有控制策略存在分解计算效率低、数据处理慢、结果可靠性差和抽蓄、储能调节裕度的越限预警能力薄弱的问题。为此，文中将一种高效的在线时间序列分解方法OneShotSTL应用到有功调节量时序数据的分析和处理中。该方法通过增量计算策略，仅更新与新数据相关的局部计算，显著提升处理效率和实时性。首先，在跟踪发电计划和辅助调频模式下，采用OneShotSTL方法从有功调节量时序数据中提取趋势项、周期项和残差项，实现火电、可变速抽水蓄能、储能分别与趋势分量、周期分量以及残差分量的精准配对。其次，为保障可变速抽水蓄能和储能的调节裕度，提出基于随机指标的抽水蓄能水库库容、储能荷电状态恢复策略。在此基础上，形成一种能源基地有功功率实时协调控制策略。最后，以中国南方区域某“风光水火储一体化”能源基地为例进行仿真分析，验证所提策略的有效性。

Abstract

In the wind-photovoltaic-hydro-thermal-storage integrated energy base

the key to enhancing the controllability of wind and photovoltaic power generation and providing high-quality auxiliary services for the power system lies in the coordinated control of various energy sources. The existing control strategies have the problems of low efficiency of decomposition calculation

slow data processing

poor reliability of results

and weak capability in exceeding-limit warning for the regulation margin of pumped storage and energy storage. Therefore

this paper applies an efficient online time series decomposition method

called OneShotSTL

to the analysis and processing of time series data for active power regulation. This method only updates the local calculation related to the new data through an incremental calculation strategy

which significantly improves the processing efficiency and real-time performance. Firstly

in the mode of tracking power generation plan and auxiliary frequency regulation

the OneShotSTL method is used to extract the trend

periodic and residual components from the time series data of active power regulation

to realize the accurate pairing of thermal power

variable speed pumped storage

and energy storage with trend components

periodic components and residual components

respectively. Secondly

to ensure the regulation margin of variable speed pumped storage and energy storage

the storage capacity of the pumped storage reservoir and the state of charge (SOC) recovery strategy of energy storage based on stochastic indices are proposed. On this basis

a real-time active power regulation and control strategy in the energy base is formed. Finally

the simulation analysis is conducted on a certain wind-photovoltaic-hydro-thermal-storage integrated energy base in the southern region of China to verify the effectiveness of the proposed strategy.

关键词

Keywords

references

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