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带有指令滤波的电力弹簧系统反步控制

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针对新能源发电系统因间接性和不确定性导致的电压波动问题,文中首次将反步控制策略应用于电力弹簧(electric spring,ES)系统,并提出一种带有指令滤波的ES反步控制策略.根据ES的数学模型利用反步法设计控制器,并加入指令滤波器,以解决ES反步控制中的计算膨胀问题,同时设计误差补偿信号,并利用Lyapunov稳定性理论验证系统稳定性.通过仿真模拟新能源发电系统网侧电压波动时,ES对关键负载(critical load,CL)电压稳定的效果,以及不同系统参数对文中控制策略的敏感性分析.与传统的比例积分(proportional-integral,PI)控制对比,CL电压动态响应速度提高 0.07 s,CL电压畸变率降低 31%,参数敏感性分析中CL电压最大偏差率为 0.318%,能承受的最大电压幅值波动范围提高 52.9 V.仿真结果验证了文中所提出的控制策略具有响应速度快、谐波含量低、抗干扰能力强的优势.
Backstepping control for electric spring system with command filtering
Aiming at the voltage fluctuation problem caused by indirectness and uncertainty in new energy power generation system,the backstepping control strategy is firstly applied in electric spring(ES)system,and an ES backstepping control strategy with command filtering is proposed.According to the mathematical model of ES,the controller is designed by backstepping method and command filter is added to solve the computational inflation problem in ES backstepping control.Meanwhile,the error compensation signal is designed,and the stability of the system is verified by the Lyapunov stability theory.The effect of ES on critical load(CL)voltage stabilization is simulated when the grid-side voltage of the new energy power generation system fluctuates,and the sensitivity analysis of different system parameters to the control strategy is discussed in this paper.Compared with traditional proportional integral(PI)control,the dynamic response speed of CL voltage is improved by 0.07 s,while the CL voltage distortion rate is reduced by 31%.In parameter sensitivity analysis,the maximum deviation rate of CL voltage is 0.318%.Meanwhile,the maximum voltage amplitude fluctuation range that it can withstand is increased by 52.9 V.It is verified that the control strategy proposed in this paper has the advantages of fast response,low harmonic content and strong anti-interference ability.

new energy power generation systemelectric spring(ES)command filteringbackstepping controlcritical load(CL)voltage fluctuationssensitivity analysis

杨成顺、韩通润、许德智、戴宇辰、黄宵宁

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南京工程学院电力工程学院,江苏 南京 211167

江南大学物联网工程学院,江苏 无锡 214122

武汉理工大学自动化学院,湖北 武汉 430070

新能源发电系统 电力弹簧(ES) 指令滤波 反步控制 关键负载(CL) 电压波动 敏感性分析

国家自然科学基金国家留学基金

62222307202106950045

2024

电力工程技术
江苏省电力公司 江苏省电机工程学会

电力工程技术

CSTPCD北大核心
影响因子:0.969
ISSN:2096-3203
年,卷(期):2024.43(2)
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