基于模糊自适应控制的混合储能一次调频控制策略与容量配置研究

杨婷婷; 轩辕诗雨; 徐永强; 吕游

doi:10.19805/j.cnki.jcspe.2026.250113

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基于模糊自适应控制的混合储能一次调频控制策略与容量配置研究

数字化与智能化 | 更新时间：2026-06-11

- 基于模糊自适应控制的混合储能一次调频控制策略与容量配置研究
- Research on Hybrid Energy Storage Primary Frequency Control Strategy and Capacity Configuration Based on Fuzzy Adaptive Control
- 动力工程学报 2026年46卷第6期页码：129-139
- 作者机构：
- 作者简介：
  
  杨婷婷(1981—),女,山东威海人,副教授,博士,研究方向为发电机组节能优化控制,E-mail:yangtingting@ncepu.edu.cn。
- 基金信息：
  
  国家自然科学基金面上资助项目(52476009)
- DOI：10.19805/j.cnki.jcspe.2026.250113
  中图分类号： TK02
- 纸质出版：2026
- 稿件说明：
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杨婷婷, 轩辕诗雨, 徐永强, 吕游. 基于模糊自适应控制的混合储能一次调频控制策略与容量配置研究[J]. 动力工程学报, 2026, 46(6): 129-139.
杨婷婷, 轩辕诗雨, 徐永强, 吕游. 基于模糊自适应控制的混合储能一次调频控制策略与容量配置研究[J]. 动力工程学报, 2026, 46(6): 129-139. DOI： 10.19805/j.cnki.jcspe.2026.250113.

DOI： 10.19805/j.cnki.jcspe.2026.250113

摘要

为有效提升电网发电侧频率的主动支撑能力

提高火电机组运行的稳定性、安全性和经济性

以混合储能辅助火电机组一次调频为主要研究对象

提出了一种优化的协同控制策略。首先

建立火储联合系统的协同控制模型

将火电一次调频信号进行分解

以减缓机组频繁升降负荷动作;其次

优化储能控制策略

使用模糊控制方法输出自适应权重系数

实现下垂控制和惯性控制之间的平滑切换

从而提高了调频能力;最后

建立混合储能容量优化配置模型

采用鲸鱼优化算法对不同控制策略下的经济效益进行了分析。结果表明:所提出的控制策略在连续扰动下

系统频率总体偏离程度相较于变K法和下垂+惯性控制分别减小23.33%与11.54%

火电机组出力平均值分别减小35%和23.53%

有效改善了火储联合系统的调频性能

提升了经济效益

有助于火电机组的安全稳定运行。

Abstract

To effectively enhance the active support capability for frequency in respect of the generation side of the power grid

and improve the stability

safety

and economy in respect of the operation of thermal power units

the primary frequency regulation of thermal power unit assisted by hybrid energy storage was taken as the main research object

while an optimized coordinated control strategy was proposed. Firstly

a coordinated control model of the combined system of thermal power and storage was established

and the primary frequency regulation signal of the thermal power unit was decomposed to alleviate the frequent load adjustment actions of the unit. Secondly

the energy storage control strategy was optimized. Adaptive weighting coefficients were output using a fuzzy control method

enabling smooth switching between droop control and inertia control

thus enhancing the capability of frequency regulation. Finally

a hybrid energy storage capacity optimization configuration model was constructed

and the economic benefits of different control strategies were analyzed using whale optimization algorithm. Results indicate that under continuous disturbances

the overall deviation of the system frequency of the proposed control strategy is reduced by 23.33% and 11.54% compared with that of the variable K method and droop-inertia control

respectively

while the average output of thermal power unit is decreased by 35% and 23.53%

respectively. This effectively improves the performance of frequency regulation of the combined system of thermal power and storage

enhances economic benefits

and facilitates the safe and stable operation of thermal power units.

关键词

Keywords

references

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