Research on Grid-Connected Control Strategy of Distributed Generator Based on Improved Linear Active Disturbance Rejection Control

The virtual synchronous generator(VSG)technology has been proposed to address the problem of system frequency and active power oscillation caused by grid-connected new energy power sources.However,the traditional voltage-current double-closed-loop control used in VSG has the disadvantages of poor disturbance immunity and insufficient dynamic response.In light of the issues above,a virtual synchronous generator voltage outer-loop control strategy based on improved linear autonomous disturbance rejection control(ILADRC)is put forth for consideration.Firstly,an improved first-order linear self-immunity control structure is established for the characteristics of the voltage outer loop;then,the effects of two key control parameters-observer bandwidthω_(0)and controller bandwidthω_(c)on the control system are analyzed,and the key parameters of ILADRC are optimally tuned online using improved gray wolf optimizer-radial basis function(IGWO-RBF)neural network.A simulationmodel is developed using MATLAB to simulate,analyze,and compare the method introduced in this paper.Simulations are performed with the traditional control strategy for comparison,and the results demonstrate that the proposed control method offers superior anti-interference performance.It effectively addresses power and frequency oscillation issues and enhances the stability of the VSG during grid-connected operation.

The Novel Current Control for Virtual Synchronous Generator

In recent years, power generation using renewable energy sources has been developed as a solution to the global warming problem. Among these power generation methods, wind power generation is increasing. However, as the penetration level of wind power generation increases, the low inertia and lack of synchronous power characteristics of the penetrated power system can have a significant impact on the transient stability of the grid. The virtual synchronous generator provides the ability of virtual inertia and synchronous power to interconnected inverters. The interconnected inverter with the virtual synchronous generator ability uses, in general, PI control based current controller. This paper proposes a new current-control method and compares it with conventional methods. The proposed current control is a method that follows virtual synchronous generator model that changes every moment by solving the discrete-time linear quadratic optimal control problem for each sampling time interval. The new method follows the conventional method, and therefore the reactive power fluctuation can be suppressed and the interconnected inverter will be downsized.

Current Loop Disturbance Suppression for Dual Three Phase Permanent Magnet Synchronous Generators Based on Modified Linear Active Disturbance Rejection Control

A modified four-dimensional linear active disturbance rejection control(LADRC)strategy is proposed for a dual three-phase permanent magnet synchronous generator(DTP-PMSG)system to reduce cross-coupling between the d and q axis currents in the d-q subspace and harmonic currents in the x-y subspace.In the d-q subspace,the proposed strategy uses a model-based LADRC to enhance the decoupling effect between the d and q axes and the disturbance rejection ability against parameter variation.In the x-y subspace,the 5th and 7th harmonic current suppression abilities are improved by using quasi-resonant units parallel to the extended state observer of the traditional LADRC.The proposed modified LADRC strategy improved both the steady-state performance and dynamic response of the DTP-PMSG system.The experimental results demonstrate that the proposed strategy is both feasible and effective.

Starting Control of Free Piston Stirling Linear Generator System Based on FOC

Aiming at the problem of poor system dynamic performance caused by low parameter matching in the coordinated control of Stirling engine and linear generator in the starting stage control of free piston Stirling linear generator system,a joint control method of free piston Stirling permanent magnet synchronous linear generator system based on field orientation control is proposed,based on the theoretical derivation of the mathematical model of the system and the principle of controller parameters setting,the simulation experiments of the system starting stage under several Stirling engine working conditions are carried out under simulation.The experimental results show that the stability and rapidity of the system are improved,and the dynamic response speed of generator parameters under different working conditions is accelerated,what fully verifies the correctness and effectiveness of the method.It provides an effective way to improve the control performance of the system and stabilize the power generation operation.

Robust Optimal H∞ Control for Uncertain 2-D Discrete State-Delayed Systems Described by the General Model

This paper investigates the problem of robust optimal H∞ control for uncertain two-dimensional (2-D) discrete state-delayed systems described by the general model (GM) with norm-bounded uncertainties. A sufficient condition for the existence of g-suboptimal robust H∞ state feedback controllers is established, based on linear matrix inequality (LMI) approach. Moreover, a convex optimization problem is developed to design a robust optimal state feedback controller which minimizes the H∞ noise attenuation level of the resulting closed-loop system. Finally, two illustrative examples are given to demonstrate the effectiveness of the proposed method.

Delay-Dependent Robust H∞ Control for Uncertain 2-D Discrete State Delay Systems Described by the General Model

This paper considers the problem of delay-dependent robust optimal H∞ control for a class of uncertain two-dimensional (2-D) discrete state delay systems described by the general model (GM). The parameter uncertainties are assumed to be norm-bounded. A linear matrix inequality (LMI)-based sufficient condition for the existence of delay-dependent g-suboptimal state feedback robust H∞ controllers which guarantees not only the asymptotic stability of the closed-loop system, but also the H∞ noise attenuation g over all admissible parameter uncertainties is established. Furthermore, a convex optimization problem is formulated to design a delay-dependent state feedback robust optimal H∞ controller which minimizes the H∞ noise attenuation g of the closed-loop system. Finally, an illustrative example is provided to demonstrate the effectiveness of the proposed method.

Coordinated Robust PID-based Damping Control of Permanent Magnet Synchronous Generators for Low-frequency Oscillations Considering Power System Operational Uncertainties

In recent years, with the growth of wind energy resources,the capability of wind farms to damp low-frequency oscillations(LFOs) has provided a notable advantage for the stabilityenhancement of the modern power grid. Meanwhile, owingto variations in the power system operating point (OP), thedamping characteristics of LFOs may be affected adversely. Inthis respect, this paper presents a coordinated robust proportional-integral-derivative (PID) based damping control approachfor permanent magnet synchronous generators (PMSGs)to effectively stabilize LFOs, while considering power system operationaluncertainties in the form of a polytopic model constructedby linearizing the power system under a given set ofOPs. The proposed approach works by modulating the DC-linkvoltage control loop of the grid-side converter (GSC) via a supplementaryPID controller, which is synthesized by transformingthe design problem into H-infinity static output feedback(SOF) control methodology. The solution of H-infinity SOF controlproblem involves satisfying linear matrix inequality (LMI)constraints based on the parameter-dependent Lyapunov functionto ensure asymptotic stability such that the minimal H-infinityperformance objective is simultaneously accomplished forthe entire polytope. The coordinated damping controllers forthe multiple wind farms are then designed sequentially by usingthe proposed approach. Eigenvalue analysis confirms the improveddamping characteristics of the closed-loop system forseveral representative OPs. Afterward, the simulation results, includingthe performance comparison with existing approaches,validate the higher robustness of the proposed approach for awide range of operating scenarios.

Robust nonlinear control via feedback linearization and Lyapunov theory for permanent magnet synchronous generator-based wind energy conversion system

In this paper,the method for the nonlinear control design of a permanent magnet synchronous generator based-wind energy conversion system(WECS)is proposed in order to obtain robustness against disturbances and harvest a maximum power from a typical stochastic wind environment.The technique overcomes both the problem of nonlinearity and the uncertainty of the parameter compared to such classical control designs based on traditional control techniques.The method is based on the differential geometric feedback linearization technique(DGT)and the Lyapunov theory.The results obtained show the effectiveness and performance of the proposed approach.

考虑储能约束的神经网络VSG参数自适应控制策略

虚拟同步发电机(Virtual Synchronous Generator, VSG)控制策略常用于处理高比例新能源并网导致系统惯量、阻尼缺失的问题,储能单元的配置制约着VSG惯量阻尼的设定。首先,建立考虑储能荷电状态(State of Charge, SOC)约束的VSG小信号模型,计算多约束条件下惯量阻尼取值范围。然后,借助径向基函数(Radial Basis Function, RBF)神经网络算法处理连续非线性函数的优点,提出一种计及储能约束的RBF神经网络VSG惯量阻尼自适应控制策略。该策略取频率偏差量和频率变化率为输入,输出为VSG转动惯量,根据二阶系统最优阻尼比确定阻尼系数取值。最后通过Matlab/Simulink仿真验证,结果表明所提计及多约束的VSG自适应控制策略能够快速响应系统频率变化,优化系统动态调节能力;减小直流母线电压跌落,增强系统鲁棒性。

基于扩张状态观测器的永磁直线同步电机改进模型预测电流控制

针对永磁直线同步电机(PMLSM)模型预测电流控制(MPCC)中存在的电流脉动过大、在线计算复杂的问题,提出一种基于扩张状态观测器(ESO)的改进MPCC策略。利用最优电压矢量相角和重新划分后的电压矢量扇区,改进第一电压矢量的选取方式,减小第二电压矢量选择范围,以实现电压矢量的快速选取,进而降低电流脉动。同时,为了提高PMLSM抗负载扰动能力,通过ESO对扰动进行观测,将观测到的扰动转换为电流进行补偿,提高系统的鲁棒性,且补偿电流可起到进一步减小电流脉动的作用。仿真结果表明,所提出的控制方法切实可行,与MPCC相比,基于ESO的改进MPCC系统具有更好的控制性能、更小的电流脉动和较强的鲁棒性能。

基于TNESO的PMSLM分数阶自抗扰控制

线性自抗扰控制(LADRC)以结构简单、易于实现且抗干扰能力强的特点在永磁同步直线电机(PMSLM)中得到广泛应用,但电机启动和负载突变会导致LADRC系统中的线性扩张状态观测器(LESO)扰动估计精度下降。为此,提出一种基于时变增益非线性扩张状态观测器(TNESO)的PMSLM分数阶自抗扰控制策略。结合LESO和非线性扰动观测器(NDOB),并根据误差与增益的关系构建动态增益函数,设计新型状态观测器TNESO;在此基础上,以分数阶PDμ控制律代替线性状态误差反馈控制律(LSEF),建立改进型自抗扰速度控制系统,以进一步提高电机控制的实时性和鲁棒性。仿真与实验结果表明:所设计的速度控制系统可以有效减少直线电机启动、负载突变时的观测响应时间,抑制观测初始时刻扰动峰值,从而满足高性能的PMSLM速度控制要求。

弱电网下多源构网型变流器协同控制方法

虚拟同步发电机(virtual synchronous generator,VSG)作为构网型控制的主要技术之一,可为电网提供惯量支撑,但由于变流器单机容量有限,当系统需要更大的惯量支撑时,需要多VSG并联运行,因此多VSG并联的协同控制备受关注。基于此,建立了VSG多机并联的状态空间模型,通过状态变量矩阵的特征值分析系统稳定性。同时,提出了基于模型预测控制(model predictive control,MPC)的多VSG并联协同控制策略,引入角频率差与功角差作为性能指标设计目标函数,求解所需最佳有功额定增量,通过功频系数对输出角频率进行动态修正,实现对输出频率的主动支撑,有效抑制了VSG并联造成的系统频率波动,提高了电网的稳定性。结果表明,相较于传统的VSG并联系统,所提出的MPC-VSG并联控制方法可缩短系统暂态响应时间,提高系统在暂态下的鲁棒性。仿真结果验证了该方法的有效性。

基于联合仿真的电励磁同步电机线性自抗扰控制

针对电励磁同步电机(EESM)在车用电机控制方向的研究,通过Maxwell设计EESM有限元模型,基于Simulink搭建电机控制系统模型。然后,根据凸极EESM的电机特性和电磁转矩分析,在控制系统中采用最大转矩电流比(MTPA)矢量控制方式在Simulink-Maxwell进行EESM控制系统的联合仿真验证。同时,控制系统电流环应用线性自抗扰控制(LADRC),基于电机已知参数在LADRC中设计模型辅助—扩张状态观测器(MA-LESO),以观测和消除系统扰动变量。仿真实验表明,采用MTPA矢量控制的电机在带载时转速波动降低,带载能力增强;在电流环中采用MA-LESO的LADRC控制器能使电机转速在稳态时波动更小,在带载时的抗干扰性能更强,电机运行过程相对稳定;电机负载转矩和定子电流在空载、负载时的波形更稳定,显著提升了电机运行性能。

基于级联线性-非线性自抗扰控制器的永磁直线同步电机速度控制策略研究

为了提升永磁直线同步电机(permanent magnet linear synchronous motor,PMLSM)在负载变化、参数摄动和其他不确定因素下的抗扰性能和速度跟踪性能,提出一种基于级联线性-非线性自抗扰控制器的PMLSM速度控制策略。首先,建立考虑负载扰动和参数失配的PMLSM数学模型;其次,设计级联线性-非线性扩张状态观测器来实时估计和补偿系统所受的不确定扰动,前级线性扩张状态观测器保证系统在大扰动下保持稳定,后级非线性扩张状态观测器利用非线性机制进一步提高系统对扰动的估计精度,从而将线性自抗扰控制和非线性自抗扰控制的优势相结合,以此提升系统的速度跟踪性能和抗扰动能力;并且,对所提控制器提出基于劳斯判据的稳定性分析方法,并对系统的抗扰性能和噪声抑制性能进行了频域分析;最后,对基于PI控制、级联线性自抗扰控制、非线性自抗扰控制和级联线性-非线性自抗扰控制的永磁直线同步电机系统进行仿真和实验对比,验证所提方法的优越性。

基于平滑GMS模型和改进扩张状态观测器的复合摩擦补偿

摩擦力是影响直线伺服系统低速运行与点对点定位精度的主要非线性扰动。广义麦克斯韦(generalized Maxwellslip,GMS)摩擦模型虽然可以准确描述摩擦特性用于前馈补偿,但其存在切换点过渡时振荡的问题,同时易受测量噪声和摩擦参数变化等影响。为此,该文提出基于平滑GMS模型和改进扩张状态观测器(extended state observer,ESO)的复合摩擦补偿策略。首先,引入过渡用双曲正切函数以解决GMS模型中在切换点的反复穿越问题,并给出该模型的离线辨识方法。其次,设计基于模型信息的四阶ESO补偿剩余摩擦力与未知扰动,并引入切比雪夫滤波器整定观测器增益,以降低扰动观测与噪声敏感之间的冲突。为验证所提摩擦补偿策略的有效性,在小型高精度永磁同步直线电机定位平台上进行定位实验。实验结果验证了所提摩擦补偿策略的可行性和有效性。

基于改进型超螺旋滑模线性自抗扰的永磁同步电机速度控制研究

为提升永磁同步电机调速系统中的动态响应性能和抗扰性能,提出了一种改进型超螺旋滑模线性自抗扰控制(STSM-LADRC)策略。该策略利用滑模变结构原理对LADRC中的线性扩张状态观测器(LESO)和线性状态误差反馈(LSEF)控制律进行优化。首先,设计了STSM-LESO,采用STSM控制算法对LADRC中的LESO进行改进,以提高观测器观测性能从而增强控制器的抗干扰能力;其次,利用STSM控制算法代替原有的LSEF控制律,提高控制器的动态响应性能,同时使用tanh函数替换超螺旋滑模算法中的sign函数进一步削弱滑模固有抖振,提高系统的稳定性;然后,使用李雅普诺夫理论对所提控制策略进行稳定性分析;最后,基于Matlab/Simulink仿真平台进行验证。仿真结果表明,与传统的LADRC和其他控制器相比,所提控制策略具备更好的动态响应性能和抗扰性能。

基于线性自抗扰控制的永磁同步电机驱动系统多源扰动抑制研究综述

永磁同步电机(Permanent Magnet Synchronous Motor, PMSM)驱动系统在多种工况运行条件下通常会受到多源扰动的影响而使其控制性能下降。线性自抗扰控制器(Linear Active Disturbance Rejection Controller, LADRC)由于参数整定简单以及不依赖于系统的数学模型在PMSM驱动系统中已经得到了广泛的应用。文中首先阐述了PMSM驱动系统中所存在的多源扰动类型,并且对部分扰动建立了数学模型;然后,分析了传统LADRC的局限性,并针对不同类型的扰动总结了近年来所提出的新型LADRC,同时给出了部分所提方法的算法表达式;最后,归纳总结了基于LADRC的PMSM驱动系统在抗扰控制中的发展趋势。

基于RBF-LADRC的虚拟同步发电机控制策略

随着大规模分布式发电技术的出现,为支持微电网的稳定运行,提出虚拟同步发电机(VSG)技术。由于VSG常用的电压电流双闭环控制存在动态响应时间久、抗扰动能力弱的缺点,考虑LADRC对扰动具有更优异的动态响应速度,该文提出一种用于VSG电压外环控制的线性自抗扰控制方案,并采用RBF对LADRC中的关键参数进行在线整定,以实现控制器的实时优化。在Matlab/Simulink平台下搭建仿真模型,并对所提出的改进策略与传统控制策略进行仿真对照,结果显示该策略可有效提高并网环境下虚拟同步发电机功率和频率稳定性。

基于无模型的PMLSM改进自适应滑模自抗扰控制

为了提高永磁直线同步电机的自抗扰控制的动态响应性能和抗干扰性能,增强系统整体的控制性能,提出了一种基于无模型控制的改进滑模自抗扰控制策略。首先,基于滑模变结构原理以及无模型控制理论对自抗扰控制器中的扩张状态观测器和非线性状态误差反馈进行优化,建立了超局部模型,采用非奇异快速终端滑模控制代替原有的非线性状态误差反馈,同时设计相应滑模面与扩张状态观测器相结合,提高观测器对扰动因素的观测精确度的同时增强控制器的动态响应性能和抗干扰能力。然后设计了改进指数趋近率,通过引入系统状态变量使得控制器可以进行自适应调节,进一步提高系统的控制性能。通过李雅普诺夫理论证明了控制策略的稳定性,仿真和实验结果表明,该控制策略相对传统的自抗扰控制器所具备的优越性。

Adaptive Virtual Synchronous Generator Considering Converter and Storage Capacity Limits

A virtual synchronous generator(VSG)control has been proposed as a means to control a voltage source converter interfaced generation and storage to retain the dynamics of a conventional synchronous generator.The storage is used to provide the inertia power and droop power in the VSG control to improve the frequency stability.Since the parameters in the VSG control can be varied,it is necessary for it to be tuned to be adaptive,in order to achieve an optimal response to grid frequency changes.However,the storage cannot provide infinite power and the converter has a strict power limitation which must be observed.The adaptive VSG control should consider these limitations,which have not been considered previously.This paper proposes an adaptive VSG control aimed at obtaining the optimal grid supporting services during frequency transients,accounting for converter and storage capacity limitations.The proposed control has been validated via hardware-in-the-loop testing.It is then implemented in storage co-located with wind farms in a modified IEEE 39-bus system.The results show that the proposed control stabilizes the system faster and has better cooperation with other VSGs,considering storage and converter limits.