基于PSO参数优化NL-ADRC的储能控制策略

谢敏; 田桂珍; 刘广忱; 温素芳

doi:10.19799/j.cnki.2095-4239.2025.0955

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基于PSO参数优化NL-ADRC的储能控制策略

储能系统与工程 | 更新时间：2026-04-29

- 基于PSO参数优化NL-ADRC的储能控制策略
- Improved integrated control strategy of energy storage based on NL-ADRC with PSO parameter optimization
- 储能科学与技术 2026年15卷第4期页码：1312-1324
- 作者机构：
  
  1.内蒙古工业大学电力学院
  2.大规模储能技术教育部工程研究中心，内蒙古呼和浩特 010080
- 作者简介：
  
  谢敏（1998—），女，硕士研究生，研究方向为新能源发电控制技术，E-mail：xinmeng136@126.com；
  田桂珍，教授，博士，研究方向为新能源发电控制技术、储能控制等，E-mail：tianguizhen@126.com。
- 基金信息：
  
  国家重点研发计划“储能与智能电网技术”专项(2024YFB2408400)
- DOI：10.19799/j.cnki.2095-4239.2025.0955
  中图分类号： TM 721
- 收稿：2025-10-23，
  
  修回：2026-01-19，
  
  纸质出版：2026-04-28
- 稿件说明：
移动端阅览
谢敏, 田桂珍, 刘广忱, 等. 基于PSO参数优化NL-ADRC的储能控制策略[J]. 储能科学与技术, 2026, 15(4): 1312-1324.

XIE Min, TIAN Guizhen, LIU Guangchen, et al. Improved integrated control strategy of energy storage based on NL-ADRC with PSO parameter optimization[J]. Energy Storage Science and Technology, 2026, 15(4): 1312-1324.
谢敏, 田桂珍, 刘广忱, 等. 基于PSO参数优化NL-ADRC的储能控制策略[J]. 储能科学与技术, 2026, 15(4): 1312-1324. DOI： 10.19799/j.cnki.2095-4239.2025.0955.

XIE Min, TIAN Guizhen, LIU Guangchen, et al. Improved integrated control strategy of energy storage based on NL-ADRC with PSO parameter optimization[J]. Energy Storage Science and Technology, 2026, 15(4): 1312-1324. DOI： 10.19799/j.cnki.2095-4239.2025.0955.

摘要

随着风电机组在电力系统中渗透水平的不断提升，其波动性和间歇性特点导致电力系统调频负担不断增大，本研究基于电池储能的风电场一次调频控制策略。首先，针对传统惯量控制中虚拟惯量系数和下垂系数固定可能出现惯量支撑与系统需求不匹配的问题，研究基于模糊控制的自适应综合调频控制策略，通过实时调整虚拟下垂和惯性系数，提升系统的响应特性。在此基础上，为改善传统比例积分控制下系统的动态响应性能，研究功率的非线性自抗扰(non-linear active disturbance rejection control，NL-ADRC)控制策略，并通过粒子群优化算法对NL-ADRC的控制参数进行寻优，实现NL-ADRC参数的最优配置，从而减小频率波动。仿真与实验结果表明，本工作所提策略能够减小系统频率波动使系统频率更快达到稳定状态。

Abstract

With the continuous improvement of the penetration of wind turbines in the power system

its variable and intermittent characteristics lead to an increase in the frequency regulation burden of the power system. This paper studies the primary frequency regulation strategy of wind farms based on battery energy storage system. Firstly

aiming at the problem that the fixed virtual inertia and droop coefficients in the traditional control may lead to the mismatch between the inertia support and the system demand

the adaptive integrated frequency regulation strategy based on fuzzy control is studied. By adjusting the virtual droop and inertia coefficient in real time

the response characteristics of the system are improved. In order to improve the dynamic response performance of the system under traditional proportional integral control

the nonlinear active disturbance rejection control (non-linear active disturbance rejection control

NL-ADRC) is studied to control power. The control parameters of NL-ADRC are optimized by particle swarm optimization algorithm to realize the optimal configuration of NL-ADRC parameters

so as to reduce the frequency fluctuation. The simulation and experimental results show that the proposed strategy can reduce the system frequency fluctuation and enable the system frequency to reach the steady state faster.

关键词

Keywords

references

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