2020 3rd International Conference on Energy, Power and Environment: Towards Clean Energy Technologies最新文献_第2页

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

2020 3rd International Conference on Energy, Power and Environment: Towards Clean Energy Technologies Pub Date : 2021-03-05 DOI: 10.1109/ICEPE50861.2021.9404534

Mamata Debbarma, P. Krishna, M. A. Rani

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

2020 3rd International Conference on Energy, Power and Environment: Towards Clean Energy Technologies Pub Date : 2021-03-05 DOI: 10.1109/ICEPE50861.2021.9404488

Pushpanjali Shadangi, S. D. Swain, P. K. Ray

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

2020 3rd International Conference on Energy, Power and Environment: Towards Clean Energy Technologies Pub Date : 2021-03-05 DOI: 10.1109/ICEPE50861.2021.9404445

S. Chowdhury, N. Haque, S. Chatterjee

引用次数: 0

ICEPE-2020 Reviewers

2020 3rd International Conference on Energy, Power and Environment: Towards Clean Energy Technologies Pub Date : 2021-03-05 DOI: 10.1109/icepe50861.2021.9404420

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

2020 3rd International Conference on Energy, Power and Environment: Towards Clean Energy Technologies Pub Date : 2021-03-05 DOI: 10.1109/ICEPE50861.2021.9404487

Dipak P. Bhapkar, A. Maity

{"title":"Power Extraction From an Ultra-Low Input Voltage Source in a Battery-less Thermoelectric Harvester","authors":"Dipak P. Bhapkar, A. Maity","doi":"10.1109/ICEPE50861.2021.9404487","DOIUrl":"https://doi.org/10.1109/ICEPE50861.2021.9404487","url":null,"abstract":"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.","PeriodicalId":250203,"journal":{"name":"2020 3rd International Conference on Energy, Power and Environment: Towards Clean Energy Technologies","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115846074","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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

2020 3rd International Conference on Energy, Power and Environment: Towards Clean Energy Technologies Pub Date : 2021-03-05 DOI: 10.1109/ICEPE50861.2021.9404503

S. Samanta, Subir Datta, Satyajit Das, B. K. Roy, Amrita Ganguly

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

2020 3rd International Conference on Energy, Power and Environment: Towards Clean Energy Technologies Pub Date : 2021-03-05 DOI: 10.1109/ICEPE50861.2021.9404479

Prashant Kumar, D. Bhaskar, R. Behera

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

2020 3rd International Conference on Energy, Power and Environment: Towards Clean Energy Technologies Pub Date : 2021-03-05 DOI: 10.1109/ICEPE50861.2021.9404463

Madan Kumar Das, S. Chauhan, Parusharamulu Buduma, K. Jana, Sukumar Ishara

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

2020 3rd International Conference on Energy, Power and Environment: Towards Clean Energy Technologies Pub Date : 2021-03-05 DOI: 10.1109/ICEPE50861.2021.9404456

Thangavel Subbaiyan, Yuvaraju Venkatachalam

{"title":"PSO Based Optimal Phasor Measurement Unit Placement Considering Measurement Redundancy","authors":"Thangavel Subbaiyan, Yuvaraju Venkatachalam","doi":"10.1109/ICEPE50861.2021.9404456","DOIUrl":"https://doi.org/10.1109/ICEPE50861.2021.9404456","url":null,"abstract":"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.","PeriodicalId":250203,"journal":{"name":"2020 3rd International Conference on Energy, Power and Environment: Towards Clean Energy Technologies","volume":"3 12","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120836949","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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

2020 3rd International Conference on Energy, Power and Environment: Towards Clean Energy Technologies Pub Date : 2021-03-05 DOI: 10.1109/ICEPE50861.2021.9404519

Tejasri Kari, L. N, Sayeera Banu A, DhanuShree R, K. Jagannatha, S. Natarajan

{"title":"An Accelerated Approach to Parallel Ensemble Techniques Targeting Healthcare and Environmental Applications","authors":"Tejasri Kari, L. N, Sayeera Banu A, DhanuShree R, K. Jagannatha, S. Natarajan","doi":"10.1109/ICEPE50861.2021.9404519","DOIUrl":"https://doi.org/10.1109/ICEPE50861.2021.9404519","url":null,"abstract":"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.","PeriodicalId":250203,"journal":{"name":"2020 3rd International Conference on Energy, Power and Environment: Towards Clean Energy Technologies","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125079213","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1