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基于两级分层优化的能源存储系统模型预测控制

李阿勇 李坚 吴佳

全球能源互联网2025,Vol.8Issue(1):36-47,12.
全球能源互联网2025,Vol.8Issue(1):36-47,12.DOI:10.19705/j.cnki.issn2096-5125.2025.01.005

基于两级分层优化的能源存储系统模型预测控制

Predictive Control of Energy Storage System Model Based on Two-level Hierarchical Optimization

李阿勇 1李坚 1吴佳1

作者信息

  • 1. 国网冀北电力有限公司,北京市 西城区 100054
  • 折叠

摘要

Abstract

In order to achieve the economic and efficient operation of the distribution network,a two-level hierarchical optimization based energy storage system model predictive control method is proposed.Firstly,a dictionary optimization scheme was proposed to define the flywheel power set point by minimizing the transformer power limit and flywheel energy loss.Then,a convex function representing the flywheel power loss and its maximum power was derived,and a two-level hierarchical control framework was introduced to operate the transformer flywheel system in a way that handles prediction errors and model accuracy.The final simulation and experimental results verified the effectiveness of the proposed energy management and control scheme in providing peak shaving services under real conditions.

关键词

分层优化/储能/系统模型/FESS建模/预测控制/线性规划

Key words

layered optimization/energy storage/system model/FESS modeling/predictive control/linear programming

分类

动力与电气工程

引用本文复制引用

李阿勇,李坚,吴佳..基于两级分层优化的能源存储系统模型预测控制[J].全球能源互联网,2025,8(1):36-47,12.

基金项目

国家电网有限公司科技项目(52010122000T).Science and Technology Foundation of SGCC(52010122000T). (52010122000T)

全球能源互联网

OA北大核心

2096-5125

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