Probabilistic Load Flow Algorithm with the Power Performance of Double-Fed Induction Generators

Probabilistic load flow(PLF)algorithm has been regained attention,because the large-scale wind power integration into the grid has increased the uncertainty of the stable and safe operation of the power system.The PLF algorithm is improved with introducing the power performance of double-fed induction generators(DFIGs)for wind turbines(WTs)under the constant power factor control and the constant voltage control in this paper.Firstly,the conventional Jacobian matrix of the alternating current(AC)load flow model is modified,and the probability distributions of the active and reactive powers of the DFIGs are derived by combining the power performance of the DFIGs and the Weibull distribution of wind speed.Then,the cumulants of the state variables in power grid are obtained by improved PLF model and more accurate power probability distributions.In order to generate the probability density function(PDF)of the nodal voltage,Gram-Charlier,Edgeworth and Cornish-Fisher expansions based on the cumulants are applied.Finally,the effectiveness and accuracy of the improved PLF algorithm is demonstrated in the IEEE 14-RTS system with wind power integration,compared with the results of Monte Carlo(MC)simulation using deterministic load flow calculation.

PSO Based Controlled Six-phase Grid Connected Induction Generator for Wind Energy Generation

This paper deals a detailed performance investigation of asymmetrical six-phase grid connected induction generator(GCIG)in two proposed configurations in variable speed operation.During the system development,regulation of DC-link voltage has been proposed using particle swarm optimization(PSO)based PI controller,ensuring the power flow to utility grid through back to back converters.The closed loop operation of asymmetrical six-phase GCIG using indirect field oriented control in different configurations has been carried out in Matlab/Simulink environment.Analytical results have been verified using real time test results on virtual platform of Typhoon HIL supported with some experimental validation.

Robust Position Observer for Sensorless Direct Voltage Control of Stand-Alone Ship Shaft Brushless Doubly-Fed Induction Generators

The aim of this paper is to investigate an adaptive sensorless direct voltage control(DVC)strategy for the stand-alone ship shaft brushless doubly-fed induction generators(BDFIGs).The proposed new rotor position observer using the space vector flux relations of BDFIG may achieve the desired voltage control of the power winding(PW)in terms of magnitude and frequency,without any speed/position sensors.The proposed algorithm does not require any additional observers for obtaining the generator speed.The proposed technique can directly achieve the desired DVC based on the estimated rotor position,which may reduce the overall system cost.The stability analysis of the proposed observer is investigated and confirmed with the concept of quadratic Lyapunov function and using the multi-model representation.In addition,the sensitivity analysis of the presented method is confirmed under different issues of parameter uncertainties.Comprehensive results from both simulation and experiments are realized with a prototype wound-rotor BDFIG,which demonstrate the capability and efficacy of the proposed sensorless DVC strategy with good transient behavior under different operating conditions.Furthermore,the analysis confirms the robustness of the proposed observer via the machine parameter changes.

A novel transient rotor current control scheme of a doubly-fed induction generator equipped with superconducting magnetic energy storage for voltage and frequency support

A novel transient rotor current control scheme is proposed in this paper for a doubly-fed induction generator（DFIG）equipped with a superconducting magnetic energy storage（SMES） device to enhance its transient voltage and frequency support capacity during grid faults. The SMES connected to the DC-link capacitor of the DFIG is controlled to regulate the transient dc-link voltage so that the whole capacity of the grid side converter（GSC） is dedicated to injecting reactive power to the grid for the transient voltage support. However, the rotor-side converter（RSC） has different control tasks for different periods of the grid fault. Firstly, for Period I, the RSC injects the demagnetizing current to ensure the controllability of the rotor voltage. Then, since the dc stator flux degenerates rapidly in Period II, the required demagnetizing current is low in Period II and the RSC uses the spare capacity to additionally generate the reactive（priority） and active current so that the transient voltage capability is corroborated and the DFIG also positively responds to the system frequency dynamic at the earliest time. Finally, a small amount of demagnetizing current is provided after the fault clearance. Most of the RSC capacity is used to inject the active current to further support the frequency recovery of the system. Simulations are carried out on a simple power system with a wind farm. Comparisons with other commonly used control methods are performed to validate the proposed control method.

A Gain Scheduled Method for Speed Control of Wind Driven Doubly Fed Induction Generator

This paper proposes a gain scheduled control method for a doubly fed induction generator driven by a wind turbine. The purpose is to design a variable speed control system so as to extract the maximum power in the region below the rated wind speed. Gain scheduled control approach is applied in order to achieve high performance over a wide range of wind speed. A double loop configuration is adopted. In the inner loop, the rotor speed is used as the scheduling parameter, while a function of wind and rotor speed is used as the scheduling parameter in the outer loop. It is verified in simulations that a high tracking performance has been achieved.

Direct Torque Control of Induction Motor Load Generator

DTC （direct torque control） of induction motor drives has many outstanding performance and implementation properties. This paper presents an innovative direct torque controlled load generator based on space vector modulation suitable for the emerging applications such as electrical test benches that require extremely fast large-signal torque and dynamic responses. To realize system performance, two methods based on the classical DTC （with six-sector switch table） and the proposed twelve-sector DTC have been analyzed and used for modelling the dynamometer. The performance of the proposed dynamometer is investigated by simulating different parts of the system and results are presented for several industrial load profiles. Finally, limitations and advantages of each controller are presented and analyzed.

A Novel Grid Synchronization Control of Doubly-fed Induction Generator

The dynamic performance of doubly-fed induction generator(DFIG) before and after connection is analyzed based on corresponding mathematical models and transfer functions in decoupled vector control.The parameter tuning methods of rotor current regulator before and after connection are given.To reach same dynamic performance the parameters should take different values and be switched before and after connection.However on one hand the closing moment of stator contactor is difficult to get as the feedback signal is usually twenty millisecond delay or so.The delay in parameter switching will affect rotor current and torque dynamics during the delayed period after connection. On the other hand parameter switching is troublesome.Hence a synchronization control strategy without parameter switching is proposed and analyzed in detail,which has linear rising exciting current to avoid current overshooting. The dynamic performance of the proposed strategy is analyzed in frequency domain and implemented on a DFIG experimental platform subsequently.The proposed synchronization strategy is validated by experimental results.

High Efficiency Double–Fed Induction Generator Applied to Wind Power Generator Technical Analyses

High efficiency Double-Fed Induction Generator applies new power electronic technology, and utilizes vector control to fix the magnetic direction of the stator to the vertical axis. Adjusting the input current of rotor via an inverter can separately control the cross axis and vertical axis current of real power and reactive power of a generator. Traditionally, rotating speed affects frequency and the output is unstable. This study concentrates on high efficiency Double-Fed Induction Generators and Traditional Generators from mathematic model to derive and control the characteristics simulation and comparison than get an output of high efficiency Double-Fed Industrial Generators. This study utilizes the simulation software MATLAB/Simulink to simulate the response characteristics of vector control of a Double-Fed Industrial Generator. The operating and control functions are better than those of a traditional generator.

Transient Stability Analysis during an Improved Coupling Procedure for an Induction Generator Based Wind Generation System to the Grid

For fixed speed wind turbines, the connection of its squirrel cage induction generator (SCIG) to the grid leads to inrush current which can reach an average of 2 p.u. up to 2.5 p.u. in higher wind speed even by using a soft starter. We propose in this paper a new soft starting of squirrel cage induction generator based wind turbine connected to the grid. Our strategy overcomes such transient instability problems and pinpoints rapidly synchronous speed regardless the wind speed acting on pitch angle. The proposed strategy ensures at least 50% reduction of inrush current and 18% gain of WTG starting time. A state model of the system is given including the wind turbine model and the SCIG model in the synchronous reference frame. Simulation results are analysed and compared to the classic coupling procedure.

A novel control strategy of a variable-speed doubly-fed-induction-generator-based wind energy conversion system

This paper aims to address the issue of control of a variable-speed wind turbine based on doubly-fed induction generators. In this work,an effort is made to extract the maximum efficiency from a doubly-fed induction generator-based variable-speed wind turbine by controlling the rotor current. In the first step, a maximum power point tracking technique is used to extract the maximum power from theturbine. Then a stator-flux-oriented vector control strategy is employed to control the rotor-side current. Subsequently, a grid voltagevector-oriented control strategy is used to control the grid-side system of the grid-connected generator. Considering the nonlinearityand parameter uncertainty of the system, an active disturbance rejection controller with a sliding-mode-based extended-state observeris developed for the above-mentioned control strategies. Furthermore, the stability of the controller is tested and the performance of thecontroller is compared with the classical proportional-integral controller based on disturbance rejection, robustness and tracking capability in a highly non-linear wind speed variation scenario. Modelling, control and comparison are conducted in the MATLAB®/Simulink®environment. Finally, a real-time hardware set-up is presented using the dSPACE ds-1104 R&D processing board to validate the controlscheme. From the result of the experiments, it is seen that the proposed controller takes 10-15 control cycles to settle to its steady-statevalues, depending on the control loop, whereas the conventional proportional-integral controller takes 60-75 control cycles. As a result,the settling time for the proposed control scheme is shorter than that of the proportional-integral controller.

Robust Optimal Framework for Doubly Fed Induction Generator with Uncertain Dynamics

A robust optimal framework is designed herein to mitigate the oscillatory dynamics in a doubly fed induction generator(DFIG)even in the presence of network disturbances and input variation.To address uncertain dynamics,herein,a novel transformation formula is developed for a wind energy conversion system.An unscented Kalman filter is applied to estimate the un-measured internal states of the wind energy conversion system using terminal measurements.The detailed convergence and stability analyses of the presented framework are investigated to validate its effectiveness.Additionally,comparative modal analyses are carried out to demonstrate the improvement in the damping of critical low-frequency oscillatory modes using the presented framework.The simulation results demonstrate satisfactory performance under various operating scenarios,such as increasing and decreasing wind speed and varying the terminal voltage.The comparative performance is demonstrated to validate the effectiveness of the presented framework over that of the state-of-the-art frameworks.Index Terms—Optimal control,power system,renew-able energy sources,wind energy conversion system,doubly fed induction generator.

A Long-Range Generalized Predictive Control Algorithm for a DFIG Based Wind Energy System

This paper presents a new Long-range generalized predictive controller in the synchronous reference frame for a wind energy system doubly-fed induction generator based. This controller uses the state space equations that consider the rotor current and voltage as state and control variables, to execute the predictive control action. Therefore, the model of the plant must be transformed into two discrete transference functions, by means of an auto-regressive moving average model, in order to attain a discrete and decoupled controller, which makes it possible to treat it as two independent single-input single-output systems instead of a magnetic coupled multiple-input multiple-output system. For achieving that, a direct power control strategy is used, based on the past and future rotor currents and voltages estimation. The algorithm evaluates the rotor current predictors for a defined prediction horizon and computes the new rotor voltages that must be injected to controlling the stator active and reactive powers. To evaluate the controller performance, some simulations were made using Matlab/Simulink. Experimental tests were carried out with a small-scale prototype assuming normal operating conditions with constant and variable wind speed profiles. Finally, some conclusions respect to the dynamic performance of this new controller are summarized.

Comparative Performance of Fixed-Speed and Variable-Speed Wind Turbine Generator Systems

In the early development of the wind energy, the majority of the wind turbines have been operated at constant speed. Subsequently, the number of variable-speed wind turbines installed in wind farms has increased. In this paper, a comparative performance of fixed and variable speed wind generators with Pitch angle control has been presented. The first is based on a squirrel cage Induction Generator （IG） of 315 kW rated power, connected directly to the grid. The second incorporated a Permanent Magnet Synchronous Generator （PMSG） of 750 kW rated power. The performances of each studied wind generator are evaluated by simulation works and variable speed operation is highlighted as preferred mode of operation.

High Frequency Charging Techniques—Grid Connected Power Generation Using Switched Reluctance Generator

Power generation becomes the need of developed, developing and under developed countries to meet their increasing power requirements. When affordability increases their requirement of power increases, this happens when increased per capita consumption. The existing power scenario states that highest power is produced using firing of coals called thermal energy. A high efficiency Switched Reluctance Generator (SRG) based high frequency switching scheme to enhance the output for grid connectivity is designed, fabricated and evaluated. This proposed method generates the output for the low wind speed. It provides output at low speed because of multi-level DC-DC converter and storage system. It is an efficient solution for low wind power generation. The real time readings and results are discussed.

基于智能卸荷电路的双馈风电机组故障穿越控制

双馈风电机组并网比例不断提高,加剧了电网遭遇外部故障导致规模化脱网问题。文章介绍了现有风机故障穿越控制方案的原理,考虑到频繁投切直流卸荷电路电阻易引起电压波形畸变、超级电容器控制方案成本过高等问题,提出了基于智能卸荷电路的双馈风电机组故障穿越控制方案。该方案将卸荷电阻通过DC/DC变换器与直流母线相连,在控制电路中引入有功功率-直流母线电压的下垂控制环节,实现故障期间电路电阻吸收功率的动态调节,同时设置高、低电压穿越两种模式,根据并网点电压变化情况自主启动。最后,在Matlab/Simulink中对智能卸荷电路控制策略进行验证。仿真结果表明,基于智能卸荷电路的风电机组故障穿越控制策略在直流母线电压抑制、电压恢复所需时间、转子电流畸变程度和方案经济成本等方面具有优势。

双绕组感应发电机交直流集成发电系统的自抗扰控制策略

针对双绕组感应发电机交直流集成发电系统,为实现简单易调、性能优越、负载适应力强的发电控制,该文提出一种基于线性自抗扰控制器的交直流电压控制策略,通过交流电压和直流电压与控制绕组和功率绕组的传递函数模型,构建交直流电压的线性扩张状态观测器,同时对交流电压有效值、直流电压和电压扰动进行观测,并利用电压和扰动观测值设计线性误差反馈控制律,对交直流电压进行控制。最后,通过仿真和实验验证该控制策略提高电压扰动抑制能力和负载适应性,同时各模块参数可独立设计、控制器结构简单,避免需要较多传感器及降低调参难度。

考虑低电压穿越全过程控制策略切换的双馈风机电气量研究

双馈感应发电机(doubly fed induction generator,DFIG)的电气特性在低电压穿越(low voltage ride through,LVRT)全过程均易受电网电压变化影响,而现有研究多关注故障期间DFIG的电气特性,未考虑故障清除后不同情形下DFIG电气特性的差异,且较少研究LVRT全过程DFIG的功率特性,LVRT全过程电气特性分析尚不全面。为此研究了LVRT全过程DFIG的运行状态,在故障清除前,将LVRT全过程分为故障发生、无功功率优先控制启动两个阶段,故障清除后分为撬棒二次投入、有功功率爬坡恢复两种情形进行分析。在此基础上,推导了LVRT全过程定子侧输出电流、功率的表达式,并在PSCAD中建立了DFIG仿真模型,时域仿真结果与解析表达式波形可较好吻合,证明了所提方法的有效性。

基于SSO多扰动输入机理分析的DFIG-GSC功率振荡抑制策略研究

电网次同步振荡(SSO)已成为桎梏新能源发展的主要问题之一,针对SSO下双馈感应发电机(DFIG)中网侧变流器(GSC)的功率振荡问题展开研究。首先,建立SSO对GSC的多扰动输入数学模型,探究不同扰动输入的性质以及其对GSC系统的影响,明确了针对物理量扰动以及信号扰动分别采用补偿与滤除两种不同的抑制方法。其次,针对锁相环(PLL)输出误差经过坐标变换产生耦合振荡的问题,建立PLL输出误差角度的频域数学模型,并通过设计一种改进PLL消除其输出误差对GSC的信号扰动影响。同时,设计一种准谐振控制器的自适应算法,并提出基于自适应准谐振控制器的DFIG-GSC功率振荡抑制策略,消除SSO对GSC的物理扰动影响;最后,通过搭建具有SSO模拟环境的DFIG实验平台,验证本文所提控制策略的有效性。

采用可控负荷灵敏度的DFIG并网电力系统低频振荡模式抑制

双馈感应发电机(doubly fed induction generator,DFIG)并网加剧了低频振荡(low-frequency oscillations,LFO)。电力市场和智能用电设备,使得负荷可参与阻尼控制。此时危险模式阻尼比受负荷影响,增加特征灵敏度解析表达难度。现有恒阻抗模型,不能反映综合负荷对小扰动稳定影响;异步电机模型精确,但参数辨识难度大,很难用于小扰动稳定分析。该文为避免潮流计算和稳定分析中负荷模型差异,采用ZIP负荷模型修正系统状态方程。以潮流解对负荷灵敏度为中间变量,提出危险模式阻尼比对负荷灵敏度的解析表达。引入准比例谐振控制(quasi-proportional resonance,qPR)调节负荷,相应修正阻尼比灵敏度,以改善阻尼控制的鲁棒性。仿真结果验证了所提算法的控制效果。

基于改进型Super-twisting的双馈感应发电机直接功率控制

为提高双馈感应发电机(DFIG)直接功率控制的鲁棒性和抗干扰能力,提出一种改进型超螺旋滑模(STSMC)的直接功率控制(DPC)。首先,建立参数摄动下的DFIG最大功率捕获模型和定子磁场定向的双馈感应发电机模型;然后,将非奇异快速终端滑模面(NFTSM)与一种改进型超螺旋(Super-twisting)优化算法结合,设计DFIG直接功率控制器(IST-NFTSMC)。其中所设计的非奇异滑模面能有效避免传统滑模控制(SMC)的奇异现象,且改进超螺旋控制律能有效削弱NFTSMC抖振,提高功率控制精度;最后,通过仿真和实验,与PI控制和传统SMC控制相比,该控制能削弱DFIG功率与电流抖振问题,加快其收敛速度,提高DFIG直接功率控制稳态精度。