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基于动态时区划分的混合储能源荷协同优化调度方法

郭一帆 欧阳森 辛曦 张杰宁 张勇军

南方电网技术2025,Vol.19Issue(3):4-14,11.
南方电网技术2025,Vol.19Issue(3):4-14,11.DOI:10.13648/j.cnki.issn1674-0629.2025.03.001

基于动态时区划分的混合储能源荷协同优化调度方法

Collaborative Optimization Scheduling Method for Hybrid Energy Storage Source and Load Based on Dynamic Time Zone Division

郭一帆 1欧阳森 1辛曦 2张杰宁 1张勇军1

作者信息

  • 1. 华南理工大学电力学院,广州 510640
  • 2. 国网江西省电力有限公司培训中心,南昌 330032
  • 折叠

摘要

Abstract

The coordinated operation of hybrid energy storage systems(HESS)in the power system can make up for the shortcomings of single energy storage in multiple time-scales power and electricity scheduling,but its economic limitations limit its potential to participate in auxiliary grid peak-shaving and enhance new energy consumption in coordination with source load.Therefore,a hybrid energy storage load collaborative optimization scheduling method is proposed based on dynamic time zone partitioning.Firstly,based on the power imbalance between the source and load,a dynamic time zone division strategy is designed by considering the prediction error of new energy output and the demand side response,which guides hybrid energy storage to synergistically enhance the new energy consumption capacity and auxiliary peak shaving effect from the perspectives of electricity quantity and power at different day-ahead-intraday time scales.Secondly,with the goal of minimizing the total daily operating cost of the system,a system day ahead day rolling optimization scheduling model is constructed.Energy based energy storage provides peak shaving power support at the day ahead scale,while power based energy storage smooths out new energy fluctuations at the intraday scale.Rolling optimization is used to reduce system source load prediction errors,and an energy storage cycle life model is embedded to make the system scheduling results closer to actual operating conditions.Finally,the effectiveness and superiority of the proposed method in terms of economy,new energy consumption,and peak shaving effect are verified through numerical examples.

关键词

混合储能/多时间尺度/协同优化/调峰服务/动态时区划分

Key words

hybrid energy storage/multiple time-scales/collaborative optimization/peak-shaving service/dynamic time zone division

分类

信息技术与安全科学

引用本文复制引用

郭一帆,欧阳森,辛曦,张杰宁,张勇军..基于动态时区划分的混合储能源荷协同优化调度方法[J].南方电网技术,2025,19(3):4-14,11.

基金项目

国家自然科学基金资助项目(52177085).Supported by the National Natural Science Foundation of China(52177085). (52177085)

南方电网技术

OA北大核心

1674-0629

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