储能调频控制参数自适应优化与退出机制设计
ADAPTIVE OPTIMIZATION AND EXIT MECHANISM DESIGN OF FREQUENCY MODULATION CONTROL PARAMETERS FOR ENERGY STORAGE
杨永辉 1谢丽蓉 2包洪印 3马伟 1孙金辉2
作者信息
- 1. 新疆大学电气工程学院,乌鲁木齐 830047;电力系统及大型发电设备安全控制和仿真国家重点实验室,北京 100084
- 2. 新疆大学电气工程学院,乌鲁木齐 830047
- 3. 乌鲁木齐市达坂城海为支油风电有限公司,乌鲁木齐 830039
- 折叠
摘要
为解决储能控制参数设置不当引起的频率稳定性问题以及储能调频效果和循环使用寿命难以平衡的问题,提出一种储能调频控制参数自适应优化与退出机制设计方法.首先分析储能下垂、虚拟正(负)惯量系数对系统频率动态性能及稳定性的影响,得到参数稳定变化的范围;然后,根据控制参数稳定变化区间,设计含虚拟负惯量的模糊自适应控制方法,实现控制方式之间的平滑切换和优势互补,加快频率恢复;再则,利用Logistic函数设计考虑储能荷电状态(SOC)的自适应反馈控制策略,同时引入储能退出机制,反馈调节优化储能出力,以期解决储能调频效果和循环使用寿命难以平衡的问题.最后,在Matlab/Simulink仿真平台上进行仿真验证,验证所提策略的有效性及对频率的改善作用.
Abstract
In order to solve the problem of frequency stability caused by improper setting of energy storage control parameters and difficult balance between energy storage frequency modulation effect and cycle life.This paper proposes a method of adaptive optimization of energy storage frequency modulation control parameters and design of exit mechanism.Firstly,the influence of energy storage droop and virtual positive(negative)inertia coefficient on the dynamic performance and stability of the system frequency is analyzed,and the stable variation range of parameters is obtained.Then,according to the stable variation range of control parameters,a fuzzy adaptive control method with virtual negative inertia is designed to realize smooth switching and complementary advantages between control modes and accelerate frequency recovery.Moreover,the Logistic function is used to design an adaptive feedback control strategy considering the state of charge(SOC)of the energy storage,and the exit mechanism of energy storage is introduced to adjust and optimize the output of energy storage by feedback,so as to solve the problem that it is difficult to balance the frequency modulation effect and cycle life of energy storage.Finally,the effectiveness of the proposed strategy and the improvement of frequency are verified by simulation on Matlab/Simulink simulation platform.
关键词
电池储能/调频/模糊控制/参数自适应优化/退出机制Key words
battery energy storage/frequency modulation/fuzzy control/parameter adaptive optimization/exit mechanism引用本文复制引用
基金项目
国家自然科学基金(62163034)
新疆维吾尔自治区重大科技专项(2022A1001-5)
新疆工程研究中心项目(2022062420)
新疆自治区天山创新团队项目(2021D14012)
出版年
2024
NETL
NSTL
万方数据