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2022 Second International Conference on Power, Control and Computing Technologies (ICPC2T)最新文献

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Single Phase Multilevel Converter Based Battery Charger For Low Power EV Charging 基于单相多电平变换器的低功率电动汽车充电充电器
Pub Date : 2022-03-01 DOI: 10.1109/ICPC2T53885.2022.9776989
Akhilesh Kuanr Tiwari, Lalit Kuanr Sahu
Adoption rate of Electric Vehicles (EVs) is highly influenced by charging infrastructure. Onboard battery chargers are preferred to recharge the battery packs installed in low power EVs. This paper presents a two-stage five-level rectifier based on-board charger for EV charging application. The proposed five-level rectifier constituted by six active switches capable to produce five distinct voltage level which reduces the size of filter and improves the power quality. The control scheme and the operating states for the rectifier are presented in detail. With the applied control scheme, the rectifier is capable to achieve unity power factor for all output voltages and regulated output voltage at the charging port. The proposed battery charger is capable to attain high efficiency which can ultimately make it suitable to work in integration with utility grid.
电动汽车的采用率受充电基础设施的影响很大。车载电池充电器更适合为安装在低功率电动汽车上的电池组充电。提出了一种基于两级五电平整流器的电动汽车车载充电器。所提出的由6个有源开关组成的五电平整流器能够产生5个不同的电压电平,减小了滤波器的尺寸,提高了电能质量。详细介绍了整流器的控制方案和工作状态。采用该控制方案,整流器能够在充电口实现所有输出电压和稳压输出电压的统一功率因数。所提出的电池充电器能够达到较高的效率,最终可以使其适合与公用电网集成工作。
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引用次数: 1
Design and Development of DSP-FPGA based Control Board for Electric Vehicle (EV) Applications 基于DSP-FPGA的电动汽车控制板的设计与开发
Pub Date : 2022-03-01 DOI: 10.1109/ICPC2T53885.2022.9777061
Sakthi Sundaram S, Kousik Ghosh, K. Hatua, A. Mitra
The Electric Vehicle (EV) disruption in the auto-motive market is quite evident in the present times. Functional safety is the prime requirement of the automotive market which have been achieved throughout the design and development of control board. The Power management integrated circuit (PMIC) is a System on a Chip (SoC) solution that have been used in the developed control board to meet the higher Automotive Safety Integrity Level (ASIL). This paper also focuses on addressing the different control aspect requirements for EV applications by utilizing the advantages of Digital Signal Processor (DSP) and Field Programmable Gate Array (FPGA). The advantages of digital power electronics control for high power density converters using soft Intel FPGA Intellectual Property (IP) cores are discussed.
目前,电动汽车(EV)对汽车市场的颠覆是相当明显的。功能安全是汽车市场的首要要求,在汽车控制板的设计和开发过程中,功能安全已经得到了充分的体现。电源管理集成电路(PMIC)是一种片上系统(SoC)解决方案,已用于开发的控制板,以满足更高的汽车安全完整性水平(ASIL)。本文还重点讨论了利用数字信号处理器(DSP)和现场可编程门阵列(FPGA)的优势来解决电动汽车应用的不同控制方面的要求。讨论了采用软英特尔FPGA知识产权(IP)核对高功率密度变换器进行数字电力电子控制的优点。
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引用次数: 1
Power Systems Dynamic State Estimation using Central Difference Filter 基于中心差分滤波器的电力系统动态状态估计
Pub Date : 2022-03-01 DOI: 10.1109/ICPC2T53885.2022.9777093
Arindam Chowdhury, Sayantan Chatterjee, Aritro Dey
A nonlinear Sigma point Kalman filter known as Central Difference Filter which considers only first order Taylor series approximation with the help of interpolation formula, have been employed here for the first time during dynamic state estimation of power systems states. This paper also exhibits a comparative performance analysis of two estimation techniques namely Central difference filter (CDF) and Cubature Kalman filter technique (CKF) during power systems dynamic state estimation. The estimation is performed employing measurements from Remote terminal units (RTU) and Phasor measurement units (PMU). The whole simulation process is carried out for IEEE 30 bus test system. Holts two parameter linear exponential technique which often utilized as a state forecasting technique has been used here to forecast the systems state at the prediction step. The superiority of CDF over CKF, has been illustrated here on context of computation time and estimation accuracy.
本文首次将一种仅考虑一阶泰勒级数近似的非线性西格玛点卡尔曼滤波器——中心差分滤波器应用于电力系统的动态估计。本文还对中心差分滤波(CDF)和库图卡尔曼滤波(CKF)两种估计技术在电力系统动态估计中的性能进行了比较分析。采用远程终端单元(RTU)和相量测量单元(PMU)进行估计。对ieee30总线测试系统进行了整个仿真过程。本文采用常被用作状态预测技术的霍尔特二参数线性指数技术,在预测阶段对系统状态进行预测。CDF算法在计算时间和估计精度方面优于CKF算法。
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引用次数: 0
A Fault Detection and Faulty Section Identification Scheme for Micro-Grids 一种微电网故障检测与故障区段识别方案
Pub Date : 2022-03-01 DOI: 10.1109/ICPC2T53885.2022.9776786
Maanvi Bhatnagar, Anamika Yadav, A. Swetapadma
In recent years, microgrids have become more prominent in power systems, which means the existing conventional protection schemes must be approached with caution while using them for micro-grid protection. Presently available micro-grid protection techniques bank on features extracted from the extreme ends of the feeder to recognize any fault but do not provide any information regarding the status of in-line feeders. The scheme presented in this paper incorporates a light GBM classifier to identify the fault and give information about the faulty feeder section. Discrete Fourier Transforms (DFTs) have been used for previewing the time-synchronized measurements. For simplicity, the statistical features were computed from DFT coefficients and used as input features. A standard IEC 61850-7-420 microgrid incorporating renewable distributed generators (DGs) has been used to perform simulation studies by varying different operating conditions. The proposed methodology has been validated by the results illustrated.
近年来,微电网在电力系统中的地位日益突出,在对微电网进行保护时,必须谨慎对待现有的传统保护方案。目前可用的微电网保护技术依靠从馈线极端端提取的特征来识别任何故障,但不能提供任何关于在线馈线状态的信息。本文提出的方案采用轻型GBM分类器来识别故障并给出故障馈线段的信息。离散傅里叶变换(DFTs)已被用于预览时间同步测量。为简单起见,从DFT系数中计算统计特征并将其用作输入特征。一个包含可再生分布式发电机(dg)的标准IEC 61850-7-420微电网已被用于通过改变不同的运行条件进行模拟研究。结果表明,所提出的方法是有效的。
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引用次数: 0
Power Quality Enhancement through Reactive Power Compensation Using Hybrid STATCOM 混合STATCOM无功补偿提高电能质量
Pub Date : 2022-03-01 DOI: 10.1109/ICPC2T53885.2022.9777006
R. Adware, V. Chandrakar
The power quality issues is the major concerned because of increase in power demand as well as integration of various distributed generation system in to the grid. This result in to the increase in voltage instability, power flow fluctuations, voltage flickers, voltage sag/swell and harmonics in the power system. This paper is based on a shunt FACTS device used to improve the voltage profile by compensating reactive power with Thyristor based LC filter in conjunction with low DC link voltage VSC based Inverter. Modelling and design of the said topology is presented in the paper. Also MATLAB simulation design with various type of load conditions are provided in the paper.
随着电力需求的不断增加以及各种分布式发电系统的并网,电能质量问题成为人们关注的焦点。这将导致电力系统中电压不稳定、潮流波动、电压闪变、电压凹陷/膨胀和谐波的增加。本文基于一种并联FACTS装置,该装置利用基于晶闸管的LC滤波器与基于VSC的低直流链路电压逆变器相结合来补偿无功功率,从而改善电压分布。本文给出了该拓扑的建模和设计。并给出了各种负载条件下的MATLAB仿真设计。
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引用次数: 3
Model Order Reduction of Cuk Converter in Discrete Domain using Time Moments and Markov Parameters 基于时间矩和马尔可夫参数的离散域Cuk变换器模型降阶
Pub Date : 2022-03-01 DOI: 10.1109/ICPC2T53885.2022.9776688
V. Meena, P. Naresh, Vinay Singh
This article presents a method for model order reduction (MOR) of Cuk converter in discrete domain. The MOR is obtained using time moments (TMs) and Markov parameters (MPs) matching. For this purpose, the expressions of TMs and MPs are derived in discrete domain. The state space averaging (SSA) method is exploited to compute transfer function of converter. Test system is included to illustrate the methodology of MOR. In the test case, the fourth-order system is reduced to first-order, second -order, and third -order models. To signify the efficacy of the method, step and impulse response are plotted for system and models. For a equitable comparative study, time domain specifications for lower limit (LL) and upper limit (UL) are presented. The results presented prove the effectiveness and applicability of the proposed method.
本文提出了一种离散域Cuk变换器的模型降阶方法。MOR是通过时间矩和马尔可夫参数匹配得到的。为此,在离散域推导了TMs和MPs的表达式。利用状态空间平均(SSA)方法计算变换器的传递函数。通过测试系统来说明MOR的方法。在测试用例中,四阶系统被简化为一阶、二阶和三阶模型。为了表明该方法的有效性,绘制了系统和模型的阶跃响应和脉冲响应。为了公平的比较研究,给出了下限(LL)和上限(UL)时域规范。实验结果证明了该方法的有效性和适用性。
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引用次数: 9
Solar PV Tied Electric Vehicle Charging System Using Bidirectional DC-DC Converter 基于双向DC-DC变换器的太阳能光伏捆绑电动汽车充电系统
Pub Date : 2022-03-01 DOI: 10.1109/ICPC2T53885.2022.9776973
Vikram Singh, Loveleen Kaur, J. Kumar, Amrita Singh
Renewable energy-based battery charging systems for Electric Vehicles (EV) have seen surge in automotive research in last few years. Solar PV-fed EVs are thoroughly examined in this research. Among the many benefits of using batteries to store energy in ground vehicles include zero emissions, load levelling, excellent transient functioning, and ability to recover energy while braking. To meet these criteria, bidirectional DC-DC converter is needed to connect PV to battery's dc-link. A PV-powered electric vehicle must be able to operate in two distinct modes: charging and discharging. Maximum Power Point Tracking (MPPT) technique is utilized in this study to harvest most power by solar PV. In addition, DC-DC converter with bidirectional output requires closed-loop control circuit which is proposed in this paper. MATLAB simulations are used to confirm system's efficacy.
在过去的几年里,基于可再生能源的电动汽车电池充电系统的研究激增。在这项研究中,太阳能光伏供电的电动汽车进行了彻底的检查。在地面车辆中使用电池储存能量的诸多好处包括零排放、负载均衡、出色的瞬态功能以及制动时回收能量的能力。为了满足这些标准,需要使用双向DC-DC转换器将光伏与电池的dc-link连接起来。一辆由光伏供电的电动汽车必须能够在两种不同的模式下运行:充电和放电。本研究利用最大功率点追踪(MPPT)技术来获取太阳能光伏发电的最大功率。此外,具有双向输出的DC-DC变换器需要闭环控制电路,本文提出了闭环控制电路。通过MATLAB仿真验证了系统的有效性。
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引用次数: 3
IoT based recommendation system for healthcare due to inhalation of Carbon Monoxide 由于吸入一氧化碳,基于物联网的医疗保健推荐系统
Pub Date : 2022-03-01 DOI: 10.1109/ICPC2T53885.2022.9777057
Vidyapati Jha, Priyanka Tripathi
Carbon monoxide is a common byproduct of incomplete combustion of carbon materials. It is a toxic gas that causes headaches, nausea, and dizziness, as well as death in some cases. As a result, human safety and security in the presence of CO are critical. Apart from detection, designing a recommendation system for a long time carbon monoxide inhalation has, therefore, become very much vital to avoid such severe incidents. This paper proposes and implements a recommendation system for each specific interval of time so that users must beware of each time interval of CO inhalation. This recommendation system can be used in medical diagnosis by the doctor during any health-related issue. The proposed system in this research paper creates storage on ThingSpeak channels that constantly updates the data from the CO sensors on the concentration of the CO gas. After that, continuous IoT analytics through MATLAB on Thingspeak sends a health recommendation for each specific time interval. This recommendation is made throughout the days hence behaves as an advisory system. Also, in this system, for a limited purpose, a specific alert message system is added through the IFTTT web service when the concentration of CO goes beyond the threshold value.
一氧化碳是碳材料不完全燃烧的常见副产品。它是一种有毒气体,会导致头痛、恶心和头晕,在某些情况下还会导致死亡。因此,CO存在时的人类安全和安保至关重要。因此,除了检测之外,设计一个长时间一氧化碳吸入的推荐系统对于避免此类严重事件的发生就变得非常重要。本文提出并实现了一个针对每个特定时间间隔的推荐系统,使用户必须注意CO吸入的每个时间间隔。该推荐系统可用于医生在任何健康相关问题的医疗诊断。本研究论文中提出的系统在ThingSpeak通道上创建存储,该通道不断更新CO传感器关于CO气体浓度的数据。之后,通过Thingspeak上的MATLAB进行持续的物联网分析,为每个特定的时间间隔发送健康建议。这项建议是全天提出的,因此是一项咨询制度。此外,在本系统中,为了有限的目的,当CO浓度超过阈值时,通过IFTTT web服务增加了特定的警报消息系统。
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引用次数: 0
Performance assessment of a solar-powered three-phase modular multilevel converter with capacitor voltage balancing 电容电压平衡太阳能三相模块化多电平变换器的性能评估
Pub Date : 2022-03-01 DOI: 10.1109/ICPC2T53885.2022.9777031
Harin M. Mohan, Santanu Kumar Dash
Solar photovoltaic (PV) systems are becoming increasingly popular across the world, and the Modular Multilevel Converter (MMC) architecture emerged as an appealing option for PV integration. The MMC topology has been conceived to alleviate the inconveniences of traditional multilevel converters, such as the higher-order level capacitor balance problem, the necessity for power filters and interface transformers. Because of its inherent benefits, MMC is used as the interface between diverse energy resources. Here, the PV is integrated with maximum power point tracking into the three phase three level MMC. When it comes to maintaining output power quality, modulation methods are significant. The proposed capacitor voltage balancing algorithms use phase disposition pulsewidth modulation (PDPWM) and space vector modulation (SVM) schemes to ensure the balancing of the capacitors in each sub-module. The MATLAB/Simulink simulation is performed and the effectiveness of the control approaches is evaluated.
太阳能光伏(PV)系统在世界范围内越来越受欢迎,模块化多电平转换器(MMC)架构成为光伏集成的一个有吸引力的选择。MMC拓扑结构的设想是为了减轻传统多电平变换器的不便,如高阶电容平衡问题,电力滤波器和接口变压器的必要性。由于其固有的优势,MMC被用作多种能源之间的接口。在这里,PV与最大功率点跟踪集成到三相三级MMC中。当涉及到保持输出功率质量时,调制方法是重要的。所提出的电容电压平衡算法采用相位配置脉宽调制(PDPWM)和空间矢量调制(SVM)方案来保证各子模块中电容的平衡。最后进行了MATLAB/Simulink仿真,并对控制方法的有效性进行了评价。
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引用次数: 1
A Robust Control Strategy for Power Management of an Islanded DC Microgrid 孤岛直流微电网电源管理的鲁棒控制策略
Pub Date : 2022-03-01 DOI: 10.1109/ICPC2T53885.2022.9777044
T. Thomas, M. Mishra
This paper deals with robust control strategy used for the power management of a DC microgrid. The DC mi-crogrid considered here comprises of a PV source, permanent magnet synchronous generator based wind system, hybrid storage combination of battery and supercapacitor and a DC load. The PV and wind systems are operating at maximum power point during normal operation. PV is operating in MPPT using P & O algorithm and wind is operating using optimum torque based algorithm. A control strategy has been proposed for power sharing between storage systems and renewable sources. This strategy uses the Lyapunov function and ensures global asymptotic stability of the closed loop system. The bypassing of high frequency components to supercapacitor in the control strategy helps in reducing the current stress occurring in the battery. A robust controller based on sliding mode is used for tracking the current reference in the wind energy system. A power management algorithm has been developed based on this control technique for balancing the power, when there is a change in the renewable input, SoC of storage systems or load. During these disturbances, the DC link voltage is tightly regulated. The effectiveness of this strategy is explored by formal analysis and simulation using MATLAB/Simulink.
本文研究了用于直流微电网电源管理的鲁棒控制策略。这里考虑的直流微电网包括光伏电源、基于永磁同步发电机的风力系统、电池和超级电容器的混合存储组合以及直流负载。光伏、风电系统在正常运行时均处于最大功率运行状态。PV在MPPT中采用P & O算法运行,风电采用基于最优转矩的算法运行。提出了一种存储系统与可再生能源电力共享的控制策略。该策略利用Lyapunov函数,保证了闭环系统的全局渐近稳定。在控制策略中,高频元件旁路到超级电容器有助于减少电池中的电流应力。采用基于滑模的鲁棒控制器对风电系统中的电流参比进行跟踪。在此基础上开发了一种电源管理算法,用于在可再生输入、存储系统SoC或负载发生变化时实现功率平衡。在这些干扰期间,直流链路电压被严格调节。通过MATLAB/Simulink的形式化分析和仿真验证了该策略的有效性。
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引用次数: 0
期刊
2022 Second International Conference on Power, Control and Computing Technologies (ICPC2T)
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