Coordinated voltage regulation strategy of OLTC and BESS considering switching delay

When large-scale distributed renewable energy power generation systems are connected to the power grid,the risk of grid voltage fluctuations and exceeding the limit increases greatly.Fortunately,the on-load tap changer(OLTC)can adjust the transformer winding tap to maintain the secondary side voltage within the normal range.However,the inevitable delay in switching transformer taps makes it difficult to respond quickly to voltage fluctuations.Moreover,switching the transformer taps frequently will decrease the service life of OLTC.In order to solve this critical issue,a cooperative voltage regulation strategy applied between the battery energy storage systems(BESSs)and OLTSs.is proposed By adjusting the charge and discharge power of BESSs,the OLTC can frequently switch the transformer taps to achieve rapid voltage regulation.The effectiveness of the proposed coordinated regulation strategy is verified in the IEEE 33 node distribution systems.The simulation results show that the proposed coordinated regulation strategy can stabilize the voltage of the distribution network within a normal range and reduce the frequency of tap switching,as such elongating the service life of the equipment.

Speed Regulation Method Using Genetic Algorithm for Dual Three-phase Permanent Magnet Synchronous Motors

Dual three-phase Permanent Magnet Synchronous Motor(DTP-PMSM)is a nonlinear,strongly coupled,high-order multivariable system.In today’s application scenarios,it is difficult for traditional PI controllers to meet the requirements of fast response,high accuracy and good robustness.In order to improve the performance of DTP-PMSM speed regulation system,a control strategy of PI controller based on genetic algorithm is proposed.Firstly,the basic mathematical model of DTP-PMSM is established,and the PI parameters of DTP-PMSM speed regulation system are optimized by genetic algorithm,and the modeling and simulation experiments of DTP-PMSM control system are carried out by MATLAB/SIMULINK.The simulation results show that,compared with the traditional PI control,the proposed algorithm significantly improves the performance of the control system,and the speed output overshoot of the GA-PI speed control system is smaller.The anti-interference ability is stronger,and the torque and double three-phase current output fluctuations are smaller.

Robust output regulation problem with prescribed performance for nonlinear strict feedback systems

This paper investigates the problem of robust output regulation control with prospected transient property for strict feedback systems.By employing the internal model principle,the robust output regulation problem with a prospected property can be transformed to a robust stabilization problem with a new output constraint.Then,by constructing the speed function and adopting barrier Lyapunov function technique,the dynamic feedback controller can be designed not only to drive error output of the closed-loop system entering into a prescribed performance bound within a given finite time,but also to achieve that the error output converges to zero asymptotically.The effectiveness of the results is illustrated by a simulation example.

Using Artificial Neural Networks for Energy Regulation Based Variable-speed Electrohydraulic Drive

In the energy regulation based varibable-speed electrohydraulic drive system, the supply energy and the demanded energy, which will affect the control performance greatly, are crucial. However, they are hard to be obtained via conventional methods for some reasons. This paper tries to a new route： the definitive numerical values of the supply energy and the demanded energy are not required, except for their relationship which is called energy state. A three-layer back propagation（BP） neural network was built up to act as an energy analysis unit to deduce the energy state. The neural network has three inputs： the reference displacement, the actual displacement of cylinder rod and the system flowrate supply. The output of the neural network is energy state. A Chebyshev type II filter was designed to calculate the cylinder speed for the estimation of system flowrate supply. The training and testing samples of neural network were collected by the system accurate simulation model. After off-line training, the neural network was tested by the testing data. And the testing result demonstrates that the designed neural network was successful. Then, the neural network acts as the energy analysis unit in real-time experiments of cylinder position control, where it works efficiently under square-wave and sine-wave reference displacement. The experimental results validate its feasibility and adaptability. Only a position sensor and some pressure sensors, which are cheap and have quick dynamic response, are necessary for the system control. And the neural network plays the role of identifying the energy state.

A Model-Based Unmatched Disturbance Rejection Control Approach for Speed Regulation of a Converter-Driven DC Motor Using Output-Feedback

The speed regulation problem with only speed measurement is investigated in this paper for a permanent magnet direct current(DC)motor driven by a buck converter.By lumping all unknown matched/unmatched disturbances and uncertainties together,the traditional active disturbance rejection control(ADRC)approach provides an intuitive solution for the problem under consideration.However,for such a higher-order disturbed system,the increase of poles for the extended state observer(ESO)therein will lead to drastically growth of observer gains,which causes severe noise amplification.This paper aims to propose a new model-based disturbance rejection controller for the converter-driven DC motor system using output-feedback.Instead of estimating lumped disturbances directly,a new observer is constructed to estimate the desired steady state of control signal as well as errors between the real states and their desired steady-state responses.Thereafter,a controller with only speed measurement is proposed by utilizing the estimates.The performance of the proposed method is tested through experiments on dSPACE.It is further shown via numerical calculations and experimental results that the poles of the observer within the proposed control approach can be largely increased without significantly increasing magnitude of the observer gains.

The research of power saving frequency conversion speed regulation experiment system

A power saving frequency difference controlling method was introduced by the double inverter and motor experiment system.The characters of the system under differ- ent loads were investigated.The theoretical analysis and experiment results show the frequency difference method is a ideal power saving speed regulation method for the dou- ble inverter and motor system.The experiment system is simply structured,convenient to operate and provides a new way of character testing for frequency conversion speed regulation.

DC Motor Speed Regulator via Active Damping Injection and Angular Acceleration Estimation Techniques

This paper suggests a novel model-based nonlinear DC motor speed regulator without the use of a current sensor.The current dynamics,machine parameters and mismatched load variations are considered.The proposed controller is designed to include an active damping term that regulates the motor speed in accordance with the first-order low-pass filter dynamics through the pole-zero cancellation.Meanwhile,the angular acceleration and its reference are obtained from simple first-order estimators using only the speed information.The effectiveness is experimentally verified using hardware comprising the QUBEServo2,myRIO-1900,and LabVIEW.

风电机组自适应步进惯量控制策略

若风电机组参与调频时采用步进惯量控制(stepwise inertial control,SIC)策略,其退出调频时有功快速下降可能会引发系统频率二次跌落(frequency second drop,FSD)问题。已有文献中一类改进的SIC策略通过减小风电机组退出调频后有功下降阶段的斜率来应对FSD问题,然而该类改进的SIC策略使得风电机组在退出调频后其有功需要一段时间才会小于风能捕获,在此期间转子转速会继续下降并有可能低于转速下限,危及风电机组运行安全。文章对这一类改进的SIC策略做了进一步完善,提出了一种风电机组自适应SIC策略,根据风电机组退出调频时的转子转速自适应设置风电机组退出调频后有功下降阶段的斜率,在确保风电机组退出调频后转子转速不会低于转速下限的前提下,最小化FSD的幅度。

基于强化学习的柴油机调速算法研究

为了更好地调节柴油机转速,提出一种强化学习–比例积分微分(proportional integral derivative, PID)控制器,并应用到了柴油机转速控制中。基于连续动作空间的柔性动作–评价(soft actor-critic, SAC)算法,结合连续型PID控制器,设计了一种强化学习–PID控制器,可代替传统PID控制的转速环。优化设计了基于演员–评论家(actor-critic)框架的输入输出和奖励函数以匹配柴油机特性,采用随机动作增加寻优效率,形成SAC-PID控制柴油机转速的网络交互结构,达到快速调整转速,减小稳定时间的效果。构建了以柴油机D6114为原型机的MATLAB/Simulink平均值模型,并利用试验数据验证了仿真模型的有效性。利用平均值模型,仿真验证了该控制算法效果。经过仿真验证本算法使柴油机转速响应曲线超调量更小,响应时间更快,鲁棒性更强,SAC-PID控制负载瞬态调速率和稳定时间均已达到1级精度指标。仿真对比验证了SAC算法的联合控制效果,结果表明其较其他算法更佳。

入料速度动态调节式马铃薯切条机设计与试验

针对目前马铃薯切条机切削质量差、切削薯条破损率高以及自动化程度低等问题,对马铃薯切条机结构进行改进设计。采用激光传感器和入料分流装置检测入料速度并对入料速度进行调控,提高入料均匀性与切削稳定性。通过对关键部件的分析确定了影响切条质量的关键因素与取值范围。以离心滚筒转速、推料叶片倾角和切片刀安装角为试验因素,以切条合格率和分切破损率为试验指标,进行三因素三水平响应面试验,利用Design-Expert 10.0.1软件对试验结果进行方差分析,通过响应面分析交互因素对试验指标的影响规律。运用软件优化得出试验因素的最优组合并进行验证试验,结果表明:当离心滚筒转速为224.6r/min、推料叶片倾角为19.4°、切片刀安装角为292°时,切条合格率为96.7%、分切破损率为2.0%。在此基础上进行入料速度控制调节试验,试验结果显示:切条合格率为96.2%,分切破损率为2.4%,产量达3.3t/h,切条合格率提高7%,分切破损率降低4%,切削效率提高28%,提高了马铃薯切条机流水线工作时的切削质量与效率。

商用洗碗机传送带控制优化设计

为了解决当前商用洗碗机传送带系统调速成本高、稳定性差、调速复杂等问题,提出对商用洗碗机传送带控制系统进行优化设计的方法。该设计包括洗碗机传送带链排结构、减速电机装置、变频器选型和接线设计,并对变频器调速控制部分进行详细设计。该设计的优点是变频器调速易于实现、成本低、稳定性高且传送带不打滑准确性高。该设计在安庆三维电器有限公司生产的商用FTC-IPAD2洗碗机中进行应用实验,结果表明:提出的优化设计科学合理、系统运行稳定,能实现电动机软启动,对机械设备的冲击力较小,调速方便,已经应用于安庆三维电器有限公司生产的商用洗碗机上,洗碗机已经生产销售到全国舰船、大型食堂等场所。

基于智能逆变技术的玉米精播机性能优化

为进一步提升我国玉米精播机的综合作业效率,以性能优化提升作为研究目标,基于智能逆变技术的深度应用展开分析。以电控逆变处理与调速机制相融合为出发点,建立正确的电控模块逆变应用数学模型,通过控制分析与硬件优化,进行整机作业试验。结果表明:基于智能逆变技术应用的玉米精播机性能优化效果明显,排种精准率与播深合格率分别可提升至94.46%与94.05%,满足精量播种机的设计要求;同时,种子的重播率与漏播率可降低至3.83%与3.06%,整机作业运行稳定,各零部件指令执行协同性好,综合效率相对提升了5.88%,充分体现了智能逆变应用的准确性与适应性,可为类似农机播种装备优化提供参考。

智能化视角下造纸机传动系统变频调速控制研究

在当今造纸行业向智能化转型的背景下,造纸机作为纸张生产的核心设备,其传动系统的高效运行对整体生产效率和产品质量起着决定性作用。电气自动化与变频调速技术的深入应用,极大地推动了造纸机控制系统的技术进步,为实现造纸机械高效、稳定生产提供了坚实的技术基础。基于此,在探讨造纸机传动控制系统的构成与设计关键点,并针对常见的变频调速技术进行分析,特别是直接转矩控制(DTC)算法在优化传动系统中减少异步电机电磁转矩波动、降低能耗、提升效率方面的应用,旨在为造纸机传动系统的优化提供切实可行的解决方案。

温度影响下的开槽盘式磁力耦合器调速特性

针对温度影响下盘式磁力耦合器调速问题,以一台6对极16槽的开槽盘式磁力耦合器为研究对象,基于矢量磁位法,结合修正三维端部效应的卡特系数并考虑温度对永磁体剩磁的影响,依据磁力耦合器轴向介质不同与导体盘轭铁和铜导体交替排列的结构,推导出其整体的电磁转矩公式。再分别建立恒转矩负载、二次方率负载和恒功率负载工况下的调速关系解析模型。通过有限元模拟分析,确定了不同温度、不同气隙下的开槽盘式磁力耦合器在3种不同负载工况下的调速范围与调速特性。最后,搭建试验平台进行调速性能试验,将不同负载工况下磁力耦合器电磁转矩与输出转速的理论、仿真、实验值三者进行对比,结果表明理论模型有较高的准确性,为开槽型磁力耦合器在调速系统中的智能调控提供了理论依据。

计及风力发电机转速安全约束的DFIG一次调频模型预测控制策略

针对传统方法控制双馈感应发电机(DFIG)的调频效果过于依赖参数整定的问题,该文提出了一种基于模型预测控制(MPC),计及转速安全约束的风力发电机参与一次调频控制策略。该方法结合风力发电机动力学模型与频率响应模型建立预测模型,通过线性回归方法变参考值将风力发电机转速的稳定性纳入考虑。相较于虚拟惯性控制等方法将系统频率偏差与转子动能直接关联,该文方法通过建立全新的预测模型,实时统筹考虑整个系统的状态信息,无需反复调整参数,在考虑转速安全性的同时兼顾全局性能。最后,通过实际算例分析验证了该文调频策略的有效性以及相对现有方法的优越性。

计及风电场的飞轮储能一次调频控制策略

随着新能源渗透率的提高,电力系统频率稳定性问题愈加严重。本文提出一种改进飞轮储能辅助风电场一次调频的控制策略,分析风储系统的频率特性和容量配置,风电场采用虚拟惯性控制参与一次调频。由于风电场的输出功率根据自然风速随机变化,可能会导致飞轮长期运行至较高或较低转速的状态,在风速骤变时甚至会引起飞轮转速越限。采用虚拟下垂控制结合模糊规则防止飞轮转速越限,从而弥补风电场在一次调频中的功率缺额。通过仿真分析及实验验证阶跃扰动和连续扰动的工况下的频率特性,得出改进控制策略在阶跃扰动和连续负荷扰动2种工况下最大频率偏差更小、响应速度更快的结论.

VPSA制氧系统中离心鼓风机变工况调节规律研究

为提升离心鼓风机的变工况性能,以某真空变压吸附(VPSA)制氧系统中的离心鼓风机为研究对象,采用数值计算的方法分别对转速、扩压器角度单独调节以及二者联合调节时离心鼓风机的性能变化规律进行了研究。结果表明,相较于固定式,联合调节的工作压比范围扩大42%,可以使离心鼓风机在全压比范围内保持高效稳定运行;通过建立效率与转速、扩压器角度、压比之间的函数模型,采用内点法寻优得出了联合调节的最佳控制方案,为离心鼓风机的高效运行提供了依据。最后为验证寻优结果的可靠性,结合离心鼓风机的实际工作压比变化规律,按照最佳控制方案对试验模型的转速与扩压器角度进行联合调节,经测量可使离心鼓风机保持效率为87%以上持续运行。

某型航空发动机转速调节器建模仿真与优化

为解决某型航空发动机大慢车状态下转速下调的故障问题,以其转速调节器为研究对象,根据其机械机构和工作原理在AMESim平台上构建模型。利用试验结果和转速反馈调节特性由仿真验证了模型的准确性;分析了引起该故障的机制,通过仿真确定了影响因素主要为油门杆角度、发动机进口温度、离心飞重结构参数变化、调节器内弹簧刚度系数衰减,并结合实际工况对上述前3种故障进行排除,最终通过为调节器内弹簧添加预紧力补偿、采用新型材料替代等优化方案解决该故障问题。