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2020 3rd International Conference on Energy, Power and Environment: Towards Clean Energy Technologies最新文献

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A Robust Sensorless Speed Estimation Method for SCIG based WECS with Reduced Current Sensors 一种基于小电流传感器的无传感器速度估计方法
Mamata Debbarma, P. Krishna, M. A. Rani
Owing to the increasing demand for electric power there exist an increased penetration of renewable energy sources with the grid. However, this is now the major reason for grid instability. Thus, for precise power control and grid integration of Wind Energy Conversion Systems (WECS), accurate angular grid frequency and speed signal is necessary. In this regard, a sensorless speed estimation method is proposed for wind driven SCIGs with reduced number of current sensors. Unlike the other methods reported so far, this method brings forth a sensorless method which is capable of computing all the variations in speed signal either under dynamic speed variations or ripples in speed in case of distorted grid conditions. Here, the rotor speed signal is derived from the measured stator voltages and a single stator current signal, thus facilitating high reliability and robustness in speed computation. The efficacy of the proposed scheme is shown using simulation results on a 2.2 kW SCIG in MATLAB Simulink.
由于对电力的需求不断增加,可再生能源在电网中的渗透率不断提高。然而,这是现在电网不稳定的主要原因。因此,为了实现风能转换系统(WECS)的精确功率控制和并网,精确的电网频率和速度角信号是必要的。为此,提出了一种减少电流传感器数量的无传感器风速估计方法。与目前报道的其他方法不同,该方法提出了一种无传感器的方法,可以计算动态速度变化或畸变网格条件下速度波动的所有速度信号变化。在这里,转子转速信号由测量的定子电压和单个定子电流信号推导而来,因此转速计算具有较高的可靠性和鲁棒性。在MATLAB Simulink中对一台2.2 kW的SCIG进行了仿真,验证了该方案的有效性。
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引用次数: 0
Experimental realization of DSTATCOM for Power Quality Enhancement Under Various Load Perturbations DSTATCOM在各种负载扰动下提高电能质量的实验实现
Pushpanjali Shadangi, S. D. Swain, P. K. Ray
In this paper, a Modified Instantaneous Reactive Power Theory (MIRPT) is proposed for DSTATCOM to abolish harmonic current and indemnify the reactive power under various load perturbations. The DSTATCOM is the building blocks of voltage source inverter with a common DC-link capacitor and a hysteresis band current controller for switching pattern generation. In order to proof the efficacy of th proposed controller based DSTATCOM for three different case studies are considered and then simulated. All simulations are executed by using MATLAB 2016. DSTATCOM performance has been found more effective to compensate harmonics under all scenarios of load disorder.
本文提出了一种修正的瞬时无功理论(MIRPT),用于DSTATCOM消除谐波电流,补偿各种负载扰动下的无功功率。DSTATCOM是电压源逆变器的构建模块,具有普通直流链路电容器和用于开关模式生成的滞后带电流控制器。为了证明所提出的基于DSTATCOM的控制器的有效性,考虑了三个不同的案例,然后进行了仿真。所有仿真均使用MATLAB 2016进行。在各种负载失谐情况下,DSTATCOM的性能都能有效地补偿谐波。
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引用次数: 2
Equivalent Circuit Modelling of Transformer Oil-Paper Insulation from Frequency Domain Spectroscopy Measurements 变压器油纸绝缘等效电路的频域频谱建模
S. Chowdhury, N. Haque, S. Chatterjee
This paper puts forward a novel approach to evaluate an equivalent circuit of oil paper insulation used in transformers from frequency domain spectroscopy measurements. In recent years, there has been considerable attention on the development of diagnostic tools for condition monitoring of power transformer insulation. Frequency Domain Spectroscopy is one such tool. A proper modelling will ensure that the parameters are influenced by insulation deterioration. Hence, if FDS data can be used for such modelling, it may lead to better interpretation of FDS data from the perspective of insulation monitoring. Considering the above-mentioned facts, a method has been proposed in this work that can model the FDS data through an equivalent circuit comprising of resistances and capacitances. The influence of moisture content on the circuit parameters have been investigated. From the investigation, a relation between the DC conductivity and moisture content of the insulation has also been proposed.
本文提出了一种从频域谱测量中评估变压器用油纸绝缘等效电路的新方法。近年来,电力变压器绝缘状态监测诊断工具的开发备受关注。频域光谱就是这样一种工具。适当的建模将确保参数受到绝缘劣化的影响。因此,如果FDS数据可以用于这种建模,可能会从绝缘监测的角度更好地解释FDS数据。考虑到上述事实,本文提出了一种通过电阻和电容组成的等效电路来模拟FDS数据的方法。研究了含水率对电路参数的影响。研究还提出了绝缘材料直流电导率与含水率之间的关系。
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引用次数: 0
ICEPE-2020 Reviewers
ICEPE-2020 Reviewers.
ICEPE-2020 评审员。
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引用次数: 0
Power Extraction From an Ultra-Low Input Voltage Source in a Battery-less Thermoelectric Harvester 无电池热电采集器超低输入电压源的电力提取
Dipak P. Bhapkar, A. Maity
This paper presents a thermoelectic energy harvesting technique by sensing the temperature gradient between the human body and the ambient condition. With a temperature difference of 2-3 °C, the voltage available at the output of the thermoelectric harvester is merely 85 mV. To make it usable to CMOS circuits, this voltage needs to be boosted using a DC-DC boost converter. The key objective of this paper is to replace a motion-activated off-chip mechanical switch that is conventionally used in the boost converter with an integrated NMOS switch for starting-up the voltage conversion process. During start-up operation, the fully integrated control circuit produces a suitable level-converted ON-OFF signal with a swing of nearly 0–300 mV for the NMOS switch from the input voltage of 85 mV. This is achieved by using a start-up assisted ring oscillator topology that produces oscillations at a very low voltage. Subsequently, a series of clock booster stages, switch capacitor-based voltage booster stages and level shifter circuit are used to increase the voltage swing of the gate-drive signal for periodic switching of the NMOS switch. The proposed solution implemented in 180 nm CMOS process is capable of boosting the very low harvested voltage to nearly 1 V without requiring any external power supply such as battery or an off-chip mechanical switch.
本文提出了一种通过感知人体与环境温度梯度的热电能量收集技术。温差为2-3°C时,热电采集器输出电压仅为85 mV。为了使其可用于CMOS电路,该电压需要使用DC-DC升压转换器进行升压。本文的主要目标是用集成的NMOS开关来取代升压转换器中传统使用的运动激活的片外机械开关,以启动电压转换过程。在启动工作期间,完全集成的控制电路为NMOS开关从85 mV的输入电压产生合适的电平转换的ON-OFF信号,其摆幅接近0-300 mV。这是通过使用启动辅助环形振荡器拓扑来实现的,该拓扑在非常低的电压下产生振荡。随后,采用一系列时钟升压级、开关电容升压级和移电平电路增加栅极驱动信号的电压摆幅,实现NMOS开关的周期性开关。提出的解决方案在180nm CMOS工艺中实现,能够将极低的收获电压提升到近1v,而无需任何外部电源,如电池或片外机械开关。
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引用次数: 1
Design and FPGA Implementation of an Islanding Detection cum Re-synchronisation Technique for a Grid Connected Inverter in a DC Microgrid 直流微电网并网逆变器孤岛检测与再同步技术的设计与FPGA实现
S. Samanta, Subir Datta, Satyajit Das, B. K. Roy, Amrita Ganguly
Proper detection of islanding of a microgrid and its resynchronisation is very important for the plug and play operation. A simple passive islanding detection and resynchronisation technique is proposed in this paper. The change in the voltage magnitude, frequency and phase are taken into the consideration to avoid any false triggering during the detection process. In addition, the proposed technique is designed in such a way that it can be implemented in a field-programmable gate array (FPGA) hardware using FPGA-in-Loop (FIL) platform. The complete controller is converted into VHDL, a hardware description language code. Finally, the bitstream generated from the code is implemented in FPGA hardware, Zedboard. The results obtained in terms of both islanding detection and resynchronisation using the FPGA-in-Loop simulation are found to be satisfactory.
正确检测微电网孤岛及其再同步对于即插即用运行非常重要。本文提出了一种简单的被动孤岛检测和再同步技术。同时考虑了电压幅值、频率和相位的变化,避免了检测过程中的误触发。此外,所提出的技术被设计成可以在现场可编程门阵列(FPGA)硬件中使用FPGA在环(FIL)平台实现。完整的控制器被转换成VHDL,一种硬件描述语言的代码。最后,由代码生成的比特流在FPGA硬件Zedboard上实现。利用fpga环内仿真得到了令人满意的孤岛检测和再同步结果。
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引用次数: 0
Sliding Mode Observer based Rotor Position Estimation with Field Oriented Control of PMBLDC Motor Drive 基于滑模观测器的永磁无刷直流电动机转子位置估计及场定向控制
Prashant Kumar, D. Bhaskar, R. Behera
A sensorless field-oriented control of PMBLDCM based on sliding mode observer is presented. FOC is a technique for regulating torque in variable frequency drive. A modified sliding-mode observer has been designed for field-oriented control of PMBLDCM powered by a voltage-source inverter in order to accomplish speed control of drives. The disturbances have been estimated taking the load torque and viscous friction coefficient into account. This article demonstrates the PMBLDCM drive sensorless FOC in two-phase operating mode to achieve torque control. Provided with the proposed algorithms, such observer is beneficial in reducing the rotor position estimation error for variable speed drives. The implemented sensorless control algorithms are implemented and evaluated in a hardware prototype. The simulation and experimental findings are presented to demonstrate the efficacy of the strategy developed.
提出了一种基于滑模观测器的PMBLDCM无传感器场定向控制方法。FOC是一种变频驱动转矩调节技术。为实现变频器驱动的永磁无刷直流电机的速度控制,设计了一种改进型滑模观测器。在考虑载荷转矩和粘性摩擦系数的情况下,对扰动进行了估计。本文演示了PMBLDCM驱动无传感器FOC在两相工作模式下实现转矩控制。采用所提出的算法,该观测器有利于减小变速传动转子位置估计误差。实现的无传感器控制算法在硬件原型中实现和评估。仿真和实验结果证明了所开发策略的有效性。
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引用次数: 5
A Hybrid Novel Cascaded Asymmetrical 21-level Inverter with Reduced Switches 一种新型混合级联非对称21电平减开关逆变器
Madan Kumar Das, S. Chauhan, Parusharamulu Buduma, K. Jana, Sukumar Ishara
This paper shows a novel hybrid Multilevel inverter configuration with less number of power electronics (8 IGBT) switches and 4 dc-link voltage source can be modified with 7 level based model (6 switeches and 2 dc sources) series connected with half h-bride to produced output voltage 21-levels, which is nesar to sinusoidal. The carrier-based level shifted PWM (LSPWM) switching pulses method are used. The proposed MLI is finally verified with the MATLAB/SIMULINK platform and developed to prototype hardware setup with RL load with symmetrical and asymmetrical configuration. In addition, the corresponding experimental results are demonstrated for the different values of modulation index with real time dspace ds1103.
本文介绍了一种新型的混合多电平逆变器配置,它具有较少数量的电力电子(8个IGBT)开关和4个直流电压源,可以用7电平模型(6个开关和2个直流电源)串联半h-bride,产生21电平的输出电压,接近正弦。采用基于载波的移电平PWM (LSPWM)开关脉冲方法。最后在MATLAB/SIMULINK平台上对所提出的MLI进行了验证,并开发了具有对称和非对称配置的RL负载的原型硬件设置。此外,在实时dspace ds1103下,对不同的调制指数值进行了实验验证。
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引用次数: 3
PSO Based Optimal Phasor Measurement Unit Placement Considering Measurement Redundancy 考虑测量冗余的基于粒子群算法的相量测量单元优化配置
Thangavel Subbaiyan, Yuvaraju Venkatachalam
Phasor measurement unit (PMU) is a device that gives a fast and accurate measurement of both current and voltage along with time synchronization. This PMU data is useful for effective monitoring and control of power systems in smart grid. To minimize the system cost, the number of PMUs required should be reduced and must be placed optimally in a power system. To achieve this objective, particle swarm optimization (PSO) based technique is presented in this paper for maximum power system observability. Also, the zero injection bus (ZIB) case is considered for further reduction in the PMU count which in turn reduces system cost. The selection of appropriate PMU location set is identified based on the system observability redundancy index (SORI). In this paper, the PSO algorithm is tested on various test systems like IEEE 9-bus, 14-bus, and 24-bus systems for normal and ZIB cases. The simulation results are compared with various MATLAB solver-based optimization techniques. The simulation results show that PSO based technique is more effective in terms of observability.
相量测量单元(PMU)是一种能够快速准确地测量电流和电压以及时间同步的设备。该PMU数据对智能电网中电力系统的有效监测和控制具有重要意义。为了最大限度地降低系统成本,所需的pmu数量应该减少,并且必须在电力系统中进行优化配置。为实现这一目标,本文提出了基于粒子群优化的最大功率系统可观测性分析方法。此外,零注入总线(ZIB)的情况下,考虑进一步减少PMU数量,从而降低系统成本。基于系统可观察性冗余指数(SORI)确定合适PMU位置集的选择。本文对PSO算法在IEEE 9总线、14总线和24总线等多种测试系统上进行了正常和ZIB情况下的测试。仿真结果与各种基于MATLAB求解器的优化技术进行了比较。仿真结果表明,基于粒子群的方法在可观测性方面更有效。
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引用次数: 1
An Accelerated Approach to Parallel Ensemble Techniques Targeting Healthcare and Environmental Applications 针对医疗保健和环境应用的并行集成技术的加速方法
Tejasri Kari, L. N, Sayeera Banu A, DhanuShree R, K. Jagannatha, S. Natarajan
Ensemble learning techniques adopt comprehensive learning methodologies that produce optimized predictions with reduced variance and bias. The structured Random Forest ensemble learning technique equips a set of weak and diverse decision trees, resulting in an active hybrid learning ensemble. Plagued with high computational complexity, Random Forest Ensemble continues to be the preferred technique when accuracy is of primary importance for learners. Efforts to accelerate the Random Forest Ensembles are in place, however failing to efficiently utilize the data transmission bandwidth between the host and the accelerator hardware. This paper provides an architectural overview of a reconfigurable accelerator based architecture of the Random Forest Ensemble with an efficient data path model for data streaming. The paper also derives the need for an accelerated parallel ensemble method by deriving the results from equivalent sequential software implementations of the algorithm. The validation of the results have been done on healthcare application involving breast cancer classification and environmental applications involving temperature prediction and fuel consumption.
集成学习技术采用全面的学习方法,以减少方差和偏差产生优化的预测。结构化随机森林集成学习技术装备了一组弱而多样的决策树,从而形成一个主动的混合学习集成。由于计算复杂度高,随机森林集成仍然是首选的技术,当准确性对学习者来说是最重要的。加速随机森林集成的努力已经到位,但未能有效利用主机和加速器硬件之间的数据传输带宽。本文提供了一种基于可重构加速器的随机森林集成体系结构的体系结构概述,该体系结构具有有效的数据流数据路径模型。本文还通过推导等效顺序软件实现算法的结果,推导出加速并行集成方法的必要性。已在涉及乳腺癌分类的医疗保健应用和涉及温度预测和燃料消耗的环境应用中对结果进行了验证。
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引用次数: 1
期刊
2020 3rd International Conference on Energy, Power and Environment: Towards Clean Energy Technologies
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