一种提升大规模动态可重构电池储能电站运维效益的功率调控方法

韩晨辉; 张成杰; 王金玉; 王松涛; 慈松; 周杨林

doi:10.11930/j.issn.1004-9649.202511032

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一种提升大规模动态可重构电池储能电站运维效益的功率调控方法

智能-绿色-韧性：面向2035的新型电力系统技术与市场融合 | 更新时间：2026-07-01

- 一种提升大规模动态可重构电池储能电站运维效益的功率调控方法
- A power regulation method for improving operation and maintenance efficiency of large-scale dynamic reconfigurable battery energy storage power stations
- 中国电力 2026年59卷第6期页码：48-59
- 作者机构：
  
  1. 西安交通大学电气工程学院,陕西,西安,710049
  2. 华北内蒙古能源有限公司,内蒙古,呼和浩特,010000
  3. 清华大学电机工程与应用电子技术系,北京,100084
  4. 清华大学新型电力系统运行与控制全国重点实验室,北京,102202
- 作者简介：
- 基金信息：
  
  国家重点研发计划资助项目（2023YFB2407903），中国华电集团有限公司科技项目（CHT-GF-FW-2024-020）。
- DOI：10.11930/j.issn.1004-9649.202511032
  中图分类号：
- 网络首发：2026-06-22，
  
  纸质出版：2026
- 稿件说明：
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韩晨辉, 张成杰, 王金玉, 王松涛, 慈松, 周杨林. 一种提升大规模动态可重构电池储能电站运维效益的功率调控方法[J]. 中国电力, 2026, 59(6): 48-59.

HAN Chenhui, ZHANG Chengjie, WANG Jinyu, et al. A power regulation method for improving operation and maintenance efficiency of large-scale dynamic reconfigurable battery energy storage power stations[J]. 2026, 59(6): 48-59.
韩晨辉, 张成杰, 王金玉, 王松涛, 慈松, 周杨林. 一种提升大规模动态可重构电池储能电站运维效益的功率调控方法[J]. 中国电力, 2026, 59(6): 48-59. DOI： 10.11930/j.issn.1004-9649.202511032.

HAN Chenhui, ZHANG Chengjie, WANG Jinyu, et al. A power regulation method for improving operation and maintenance efficiency of large-scale dynamic reconfigurable battery energy storage power stations[J]. 2026, 59(6): 48-59. DOI： 10.11930/j.issn.1004-9649.202511032.

摘要

动态可重构电池可通过内部电力电子网络进行灵活拓扑重组，实现本质安全运行，但由于每个储能单元内部电池网络实时独立重构，导致其对应的大规模储能电站海量储能单元间运行状态各异，约束边界不一，显著增加了电站运维成本。为此，通过充分考虑大规模动态可重构电池储能电站海量储能单元运行状态与多维动态边界约束，提出一种功率优化的动态调控方法。该方法充分考虑储能单元每次动态重构后的约束边界，建立包含动态可重构电池损耗成本、温度调节成本、运行维护成本和荷电状态均衡性等关键因素的系统运维优化模型，并采用多元定权法确定各因素的优化权重。通过算例仿真，验证了该方法能够在保证动态可重构电池储能电站海量储能单元独立运行约束下显著提升电站运维经济性，同时改善储能单元状态参数的一致性。

Abstract

Dynamically reconfigurable batteries can achieve intrinsically safe operation through flexible topological reconfiguration by an internal power electronics network. However

the real-time and independent reconfiguration of the battery network inside each energy storage unit leads to disparate operating states and inconsistent constraint boundaries among the massive energy storage units in the corresponding large-scale energy storage power stations

which significantly increases the operation and maintenance costs of the power stations. To address this issue

this paper proposes a dynamic power optimization control method that fully accounts for the operating states and multidimensional dynamic boundary constraints of the massive energy storage units in large-scale dynamically reconfigurable battery energy storage stations. The method fully takes into account the constraint boundaries of energy storage units after each dynamic reconfiguration

and establishes a system operation and maintenance optimization model incorporating key factors such as the degradation cost

temperature regulation cost

operation and maintenance cost of dynamically reconfigurable batteries

and the state of charge balance. In addition

a multi-variate fixed weight method is applied to determine the optimization weights of each factor. Finally

case study simulations demonstrate that the proposed method can significantly improve the operation and maintenance economy of the power station while ensuring the independent operation constraints of the massive energy storage units in the dynamically reconfigurable battery energy storage power station

and simultaneously enhance the consistency of their state parameters.

关键词

Keywords

references

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