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2022 IEEE 2nd International Conference on Sustainable Energy and Future Electric Transportation (SeFeT)最新文献

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Control of Non Inverting Buck Boost Converter Based Three Phase Differential Mode Rectifier Using PR Controller with Harmonic Compensation 基于三相差动整流器的非反相降压升压变换器的谐波补偿PR控制器控制
Shriya Shukla, S. Nag
A three-phase differential mode rectifier with non-inverting buck boost dc-dc converter modules is presented in this paper. The modules are connected differentially to three-phase ac grid and their outputs are connected in parallel to a common dc bus. The system can handle wide input-output voltage range, supports bidirectional power flow, ensures reliability and has a compact structure. The converter has modular design and the control of each phase module is independent, leading to a simple control structure. The paper explains the operating principle of the converter and its close loop control scheme. A proportional resonant controller regulates the grid current, and harmonic compensators help to eliminate grid current distortions. The system is simulated in MATLAB Simulink environment, and the simulation results show that the developed control system helps to achieve the desired dc voltage at the output and the intended grid current with unity power factor operation and low harmonic distortion. The tracking capability of the dc voltage controller is validated and the operation of the converter for different load power is demonstrated through simulation results.
介绍了一种具有非反相降压升压dc-dc变换器模块的三相差动整流器。这些模块以差分方式连接到三相交流电网,其输出并联连接到公共直流母线。该系统可处理宽输入输出电压范围,支持双向潮流,可靠性高,结构紧凑。变换器采用模块化设计,各相模块控制独立,控制结构简单。本文阐述了该变换器的工作原理及其闭环控制方案。比例谐振控制器调节电网电流,谐波补偿器有助于消除电网电流畸变。在MATLAB Simulink环境下对该系统进行了仿真,仿真结果表明,所开发的控制系统能够在功率因数统一、谐波畸变低的情况下,实现理想的输出直流电压和理想的电网电流。仿真结果验证了直流电压控制器的跟踪能力,并验证了变换器在不同负载下的运行情况。
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引用次数: 1
Parameter Estimation of a DDM PV Module Using a Simplistic Novel Method 用一种简化的新方法估算DDM光伏组件参数
Shashank Kumar, Himanshu Sekhar Sahu, S. K. Nayak, Papul Changmai
This paper describes a novel method to estimate the five parameters ($R_{s}, I_{ph}, I_{o1}, I_{o2}$, and Rsh) of double diode model (DDM) of a photovoltaic (PV) module. For estimations of the parameters $I_{o1}, I_{o2}$, and Rsh, three new explicit expressions are derived. The value of parameters $R_{sh}, I_{o1}$ and Io2 are obtained from the proposed explicit expressions by putting the value of independent parameters Rs and Iph. Further, modified bisection method is utilized to find the error between the estimated maximum power point (MPP) voltage and MPP voltage given by the manufacturer. The root mean square (RMS) error of the estimated parameters using the proposed method is compared with different existing methods. The main contribution of the paper is three accurate explicit expressions of three dependent parameters in terms of two suitable independent parameters for DDM of a PV module. Since this novel method is simple and accurate for parameter estimation of a DDM PV module. Hence, it is useful for the PV professional.
本文提出了一种估算光伏组件双二极管模型(DDM)五个参数($R_{s}、I_{ph}、I_{o1}、I_{o2}$和Rsh)的新方法。对于参数$I_{o1}, I_{o2}$和Rsh的估计,导出了三个新的显式表达式。参数$R_{sh}、I_{01}$和Io2的值是通过将独立参数Rs和Iph的值代入所提出的显式表达式得到的。在此基础上,利用改进的对分法求出最大功率点(MPP)电压估计值与制造商给出的MPP电压之间的误差。将该方法估计参数的均方根误差与现有方法进行了比较。本文的主要贡献是三个相关参数用两个合适的独立参数精确地显式表示光伏组件DDM。该方法简单、准确,可用于DDM光伏组件的参数估计。因此,它对PV专业人员很有用。
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引用次数: 0
Whale Optimization Algorithm(WOA) Based Speed Control of BLDC Motor 基于鲸鱼优化算法(WOA)的无刷直流电机速度控制
Shubham Banerjee, Sarode Shiva Kumar, A. Alam
This paper aims at a comparative analysis between the implementation of a Proportional Integral(PI) controller using PSO(Particle Swarm Optimization) and WOA(Whale Optimization Algorithm) for speed regulation of a BLDC motor. The goal is to use the system mathematical model to lower the overall transient time and achieve the desired speed at the earliest for the closed-loop control of the machine. The BLDC motor modelled in Simulink was run using both the tuning algorithms, developed through MATLAB codes. Upon detailed comparison, it was observed that the WOA optimized PI control was successful in determining intricate gains (kp and ki values) within much lesser iterations and run-time than that of the control developed through Particle Swarm Optimization algorithm.
本文旨在比较分析采用粒子群优化算法(PSO)和鲸鱼优化算法(WOA)实现的比例积分(PI)控制器对无刷直流电机的调速。目标是利用系统的数学模型来降低总体暂态时间,并尽早达到机器闭环控制所需的速度。在Simulink中建模的无刷直流电机使用这两种调谐算法运行,并通过MATLAB代码开发。经过详细比较,发现WOA优化的PI控制比通过粒子群优化算法开发的控制在更少的迭代和运行时间内成功地确定了复杂的增益(kp和ki值)。
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引用次数: 0
SeFeT 2022 Cover Page SeFeT 2022封面
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引用次数: 0
High-Accuracy Position Sensorless ZCP Detection In PMBLDC Motor Drive For LEV Applications 用于LEV应用的PMBLDC电机驱动的高精度无位置传感器ZCP检测
Biswajit Saha, Bhim Singh
This paper presents a new high precision position sensorless control of permanent magnet brushless DC (PMBLDC) motor suitable for a wide speed range in low-cost light EV (LEV)applications. Speed independent flux linkage function is used to estimate rotor positions that address a key challenge operating at low speed. Back EMF of the motor at low speed is small and is not accessible in practical scenarios. Here, the line voltage of the motor is sensed for sensorless algorithm, which is developed using basic mathematical model of PMBLDCM. The usage of low pass filter (LPF) creates magnitude attenuation and phase lag in the system. This lag in commutation signals causes serious current and torque ripple at lower speed. A compensation method with feedback loop is used to minimize delay and commutation errors. Speed estimation using virtual Hall signals has an inherent delay due to discrete position information. Therefore, an improved speed calculation method is presented with minimum delay. The proposed method is also suitable for regenerative braking. Results and analysis validate the reliability and stability of this method.
提出了一种适用于低成本轻型电动汽车(LEV)宽调速范围的永磁无刷直流(PMBLDC)电机高精度无位置传感器控制方法。速度无关磁链连接函数用于估计转子位置,解决了低速运行的关键挑战。电机在低速时的反电动势较小,在实际情况下难以接近。本文利用PMBLDCM的基本数学模型,开发了无传感器算法,对电机的线路电压进行检测。低通滤波器(LPF)的使用在系统中产生幅度衰减和相位滞后。这种换相信号的滞后在低速时导致严重的电流和转矩波动。采用带反馈回路的补偿方法,使延时和换相误差最小化。由于位置信息离散,使用虚拟霍尔信号进行速度估计具有固有的延迟。为此,提出了一种改进的速度计算方法。该方法同样适用于再生制动。结果和分析验证了该方法的可靠性和稳定性。
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引用次数: 1
Switched-Capacitor Multi-Input Seven-Level Inverter for HFAC Applications 用于HFAC应用的开关电容多输入七电平逆变器
P. S. Dash, Shyama P Das
In this paper, a switched-capacitor-derived multi-level inverter (SCMLI) is developed for high-frequency-ac (HFAC) applications. The proposed inverter uses unequal dc voltage sources as its input. It is useful where multiple dc sources with a common ground are available, e.g., renewable energy systems, ac microgrids, fuel cells, and electric vehicles. This topology gives higher voltage levels and adequate reactive power support with fewer power-electronic switches than the existing switched-capacitor multi-level configurations. Capacitor voltage balancing is not required as it’s charged twice in each cycle of the inverter output. Parallel operation of inverters is required while connecting several dc sources. The proposed inverter solves this problem by connecting multiple sources at once. Selective-harmonic-elimination pulse width modulation (SHE-PWM) technique is used to minimize the higher-order harmonics in the output current. Different operating modes of the inverter are explained in adequate detail. A hardware prototype is assembled for the proposed multi-level inverter. The experimental and simulation results corroborate the expected performance of the proposed inverter.
本文开发了一种用于高频交流(HFAC)应用的开关电容衍生多级逆变器(SCMLI)。该逆变器采用不等直流电压源作为输入。它在有多个直流电源的地方很有用,例如,可再生能源系统、交流微电网、燃料电池和电动汽车。与现有的开关电容器多级配置相比,这种拓扑结构提供了更高的电压水平和足够的无功功率支持,并且功率电子开关更少。电容器电压平衡是不需要的,因为它在逆变器输出的每个周期充电两次。在连接多个直流电源时,需要逆变器并联运行。该逆变器通过同时连接多个电源来解决这一问题。采用选择性消谐波脉宽调制(SHE-PWM)技术使输出电流中的高次谐波最小化。对逆变器的不同工作模式进行了充分详细的说明。搭建了多级逆变器的硬件样机。实验和仿真结果验证了逆变器的预期性能。
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引用次数: 0
Performance Analysis of a Solar-Battery-Fuel cell based Micro-grid System 基于太阳能电池-燃料电池的微电网系统性能分析
Subir Datta, S. Lalngaihawma, Robert Singh, S. Deb, M. S. Devi, S. Samanta, S. Roga
The paper presents a solar-PV, fuel cell and battery based stand-alone system and its associated control schemes to study the performance of the system under varying load and source conditions. Coordinate control scheme is used to manage the power flow among all the units of the considered system and also to maintain constant voltage across the common DC link capacitor. Droop control algorithm is incorporated with the control scheme of the load side converter (LSC) for regulating the magnitude of AC output voltage and load frequency to their rated values at different scenarios. The study model is implemented in MATLAB/simulink environment and the simulation is done extensively. Simulation responses are analyzed and results show that the study system works as per the control schemes aimed at and it gives good dynamic performance under different conditions.
本文提出了一种基于太阳能光伏、燃料电池和蓄电池的独立系统及其相关控制方案,研究了该系统在不同负载和电源条件下的性能。采用协调控制方案来管理系统中所有单元之间的功率流,并保持直流公共链路电容器上的电压恒定。将下垂控制算法与负载侧变流器(LSC)的控制方案相结合,在不同场景下将交流输出电压和负载频率的大小调节到其额定值。研究模型在MATLAB/simulink环境下实现,并进行了大量的仿真。仿真结果表明,所设计的控制系统完全符合所设计的控制方案,在不同工况下均具有良好的动态性能。
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引用次数: 0
Application of Sensor less Sliding Mode Observer in Control of Induction Motor Drive 无传感器滑模观测器在感应电机驱动控制中的应用
M. N. Devi, R. Naik
Induction motors are extensively utilized in an industry and it is essential to enhance control techniques for induction motors to improve their efficiency. This article aims to enhance the induction motor drives efficiency by developing sliding mode controllers that are not based on traditional PI controllers. In the proposed concept capability to control the rotor speed and provide feedback loop control, the rotor speed is anticipated through a sliding mode observer. Furthermore, Lyapunov’s criteria prove the robustness of control and observer methods. The tests are conducted at various speed adjustments on an induction motor drive. These test findings demonstrate the dynamic characteristics of a sensor that controls the mode of the induction motor drive.
感应电机在工业中应用广泛,提高感应电机的控制技术是提高其效率的必要条件。本文旨在通过开发一种不以传统PI控制器为基础的滑模控制器来提高感应电机的驱动效率。在提出的控制转子转速和提供反馈回路控制的概念中,通过滑模观测器预测转子转速。此外,Lyapunov准则证明了控制和观测器方法的鲁棒性。测试是在感应电机驱动的各种速度调节下进行的。这些测试结果展示了控制感应电机驱动模式的传感器的动态特性。
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引用次数: 0
Robust Frequency Stabilization of Renewable-Bio-Electric Vehicle Integrated Multi Microgrid under Diverse Structure Model Predictive Controller 多结构模型预测控制器下可再生-生物能源汽车集成多微电网的鲁棒频率镇定
A. Latif, Mohd Asim Aftab, S. M. Suhail Hussain
The microgrid exhibits a notable change in the frequency deviation $(Delta F)$ even for small perturbations in the connected load or weather dependent energy sources like solar, wind etc. Hence a secondary load frequency control is required for frequency stabilization in the microgrid. In this paper, a novel combination of model predictive controller (MPC) and tilt derivative called diverse structure model predictive controller (DSMPC) is proposed for multi microgrids. A multi microgrid is comprised of wind and solar tower power generation units, including bio generations and electric vehicle (EV) in both the areas. The performance of the proposed controller is compared against marine predator technique optimized DSMPC and MPC controls. Furthermore, the study investigates the impact EV in stabilizing the system frequency under the consideration of real-time wind data. A real-time hardware-in-the-loop (HIL) simulation platform is utilized to validate the proposed control approach.
微电网显示出显著的频率偏差$( δ F)$的变化,即使在连接的负载或天气依赖的能源,如太阳能,风能等的小扰动。因此,微电网的频率稳定需要二次负荷频率控制。针对多微电网,提出了一种将模型预测控制器(MPC)与倾斜导数相结合的多结构模型预测控制器(DSMPC)。一个多重微电网由风能和太阳能塔式发电单元组成,包括两个地区的生物发电和电动汽车(EV)。将所提控制器的性能与海洋捕食者技术优化后的DSMPC和MPC控制器进行了比较。进一步研究了在考虑实时风数据的情况下,电动汽车对稳定系统频率的影响。利用硬件在环(HIL)实时仿真平台验证了所提出的控制方法。
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引用次数: 0
Penetration of Electric Vechiles-Impact of Public Services 电动汽车的渗透——对公共服务的影响
T. Halder
In this paper, relevant regulatory interventions are required for power utilities owing to penetration of electric vehicles in the public service. Technical impacts and possible business model integrate within legal frame works of electricity market. Cost and convolution tends toward to boost the faster charging of the batteries. Batteries of the electric vehicle (EV) can be charged on a residence during the night as less emission of green house gasses. So, the electric vehicles (EV) are cheaper than standard cars while both the vehicles are compared with green house emission costs. EV is charged by charging points for tailpipe solutions and latest scope of the paper
在本文中,由于电动汽车在公共服务中的渗透,需要对电力公司进行相关的监管干预。技术影响和可能的商业模式整合在电力市场的法律框架内。成本和卷积倾向于提高电池的充电速度。电动汽车(EV)的电池可以在夜间充电,减少温室气体的排放。因此,电动汽车比普通汽车便宜,而两种汽车的温室气体排放成本进行了比较。电动汽车是通过充电点充电的排气管解决方案和最新的论文范围
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引用次数: 2
期刊
2022 IEEE 2nd International Conference on Sustainable Energy and Future Electric Transportation (SeFeT)
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