2019 Fifth International Conference on Electrical Energy Systems (ICEES)最新文献_第3页

Fractional-Order Controller design for Electrical Systems - A Study 电气系统分数阶控制器设计研究

2019 Fifth International Conference on Electrical Energy Systems (ICEES) Pub Date : 2019-02-01 DOI: 10.1109/ICEES.2019.8719310

M. Santhosh, R. Rubin Silas Raj, R. Sivakumar, P. Deepa, D. Shivaani

{"title":"Fractional-Order Controller design for Electrical Systems - A Study","authors":"M. Santhosh, R. Rubin Silas Raj, R. Sivakumar, P. Deepa, D. Shivaani","doi":"10.1109/ICEES.2019.8719310","DOIUrl":"https://doi.org/10.1109/ICEES.2019.8719310","url":null,"abstract":"Traditional and improved forms of Proportional+Integral+Derivative (PID) controllers are widely adopted in industries and laboratories to achieve finest outcomes during the reference tracking and disturbance rejection tasks. Better results can be achieved; (i) By choosing an appropriate controller structure based on the system under control, and (ii) By employing a suitable tuning procedure. If the above said checks are followed, then a better result can be achieved in offline and on online controllers. This research work aims to implement a Fractional Order I-PD (FOI-PD) structure for the benchmark Automatic-Voltage-Regulator (AVR) system and a Magnetic- Levitation (MegLev) system. Jaya-Algorithm (JA) is adopted to find the controller parameters. Initially, a traditional PID and I- PD structure are designed for the AVR model and its performance is analyzed for the reference tracking operation. Later, Fractional Order (FO) controllers, such as FOPID and FOI-PD are designed with retuning and tuning procedures. In this study, a relative analysis between the controllers is presented and its performances are evaluated with reference tracking operation. From this study, it is confirmed that, FOI-PD offers better controller performance compared to PID and FOPID.","PeriodicalId":421791,"journal":{"name":"2019 Fifth International Conference on Electrical Energy Systems (ICEES)","volume":"288 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113986492","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

Effect Of Energy Storage System (ESS) in Low Inertia Power System with High Renewable Energy Sources 储能系统(ESS)在高可再生能源低惯性电力系统中的作用

2019 Fifth International Conference on Electrical Energy Systems (ICEES) Pub Date : 2019-02-01 DOI: 10.1109/icees.2019.8719294

Koami Kpoto, Anand Sharma, Anjali Sharma

{"title":"Effect Of Energy Storage System (ESS) in Low Inertia Power System with High Renewable Energy Sources","authors":"Koami Kpoto, Anand Sharma, Anjali Sharma","doi":"10.1109/icees.2019.8719294","DOIUrl":"https://doi.org/10.1109/icees.2019.8719294","url":null,"abstract":"Intermittence and variability of renewable resources is often a barrier to their huge penetration in power systems. Another barrier is the lack of synchronous generators providing rotational inertia. The replacement of conventional synchronous generation with converter connected renewable energy sources reduces system inertia and impacts primary frequency response of the system. In order to keep frequency in permissible limits in systems with low rotational inertia, certain requirements from inertia must be met in order to avoid system instability. By adding such new requirements, the traditional unit commitment problem may be modified as more synchronous generators may be dispatched for the only purpose of bringing inertia which is not really benefits for power system operators. Energy storage systems (ESS) combined with renewable energy resources (RES) are an efficient and serviceable solution to bring inertia to the system. In such way, this paper discusses the effect of energy storage systems (ESS) on system having low inertia by modeling a block diagram of frequency response of a low-inertia system including energy storage system. Then effect of ESS on the frequency response is shown. Further the energy storage system is sized and evaluation of its impact on the unit commitment based on a study case system with high wind energy penetration is performed by using Matpower Optimal Scheduling Tool (MOST).","PeriodicalId":421791,"journal":{"name":"2019 Fifth International Conference on Electrical Energy Systems (ICEES)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114899063","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: 4

Performance analysis of non-isolated high step-up dc-dc converter topologies used in photovoltaic grid connected electric vehicle charging stations 用于光伏并网电动汽车充电站的非隔离高升压dc-dc变换器拓扑性能分析

2019 Fifth International Conference on Electrical Energy Systems (ICEES) Pub Date : 2019-02-01 DOI: 10.1109/icees.2019.8719288

D. K. Srija, T. Keerthi, R. Anusha, B. H. Chandana, Sankar Peddapati

引用次数: 5

Fuel Cell Based Sl Quasi Z-Source Inverter for Motor Drive 基于燃料电池的Sl准z源电机驱动逆变器

2019 Fifth International Conference on Electrical Energy Systems (ICEES) Pub Date : 2019-02-01 DOI: 10.1109/ICEES.2019.8719296

Y. G. G. Rekha, I. Christopher, V. Jamuna

引用次数: 1

Servo Inverter Design for High Performance Multi-axis CNC Tube Bending Machine 高性能多轴数控弯管机伺服变频器设计

2019 Fifth International Conference on Electrical Energy Systems (ICEES) Pub Date : 2019-02-01 DOI: 10.1109/ICEES.2019.8719299

Jayasheela Deepa Jabavathi, Habeebullah Sait, R. K, Muhammad Ehsan R, Vinod S

{"title":"Servo Inverter Design for High Performance Multi-axis CNC Tube Bending Machine","authors":"Jayasheela Deepa Jabavathi, Habeebullah Sait, R. K, Muhammad Ehsan R, Vinod S","doi":"10.1109/ICEES.2019.8719299","DOIUrl":"https://doi.org/10.1109/ICEES.2019.8719299","url":null,"abstract":"In this paper, the design of servo inverter used for an industrial application is presented. In boiler component manufacturing processes, high performance machines are often equipped motion controls consisting of synchronous servo motors and servo inverters. The design of important aspects of servo inverter used in a five axis CNC tube machine are explained. The configuration of main stages of the system such as main dc supply unit, servo inverter drives, servo motors etc. are detailed with relevant illustrations. The servo inverters are supplied with a regenerative power supply unit producing main dc power and are controlled by a CNC controller. The calculation of mechanical power for drives, dc bus continuous and peak power, continuous and peak regenerative power, simultaneity factor are well explained in this paper with a real time comparison. A regenerative power supply unit with smart energy mode to reduce current and power peaks on the mains side is also proposed to limit the maximum device current to 1.1 fold value of the nominal current and to achieve energy savings. This paper will be a good guide for project planning for industrial applications using servo inverter systems.","PeriodicalId":421791,"journal":{"name":"2019 Fifth International Conference on Electrical Energy Systems (ICEES)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132239579","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 of boost converter with voltage multiplier cell for single phase AC load applications 单相交流负载下带电压倍增器的升压变换器设计

2019 Fifth International Conference on Electrical Energy Systems (ICEES) Pub Date : 2019-02-01 DOI: 10.1109/icees.2019.8719295

M. Saikripa, B. Anu Dharshini, B. Vignesh, K. Iyswarya Annapoorani

引用次数: 1

Intelligent three-pin adapter: a turnkey iot Solution 智能三针适配器:交钥匙物联网解决方案

2019 Fifth International Conference on Electrical Energy Systems (ICEES) Pub Date : 2019-02-01 DOI: 10.1109/ICEES.2019.8719306

W. Aisha Banu, S. Sankar, M. Sandhya, N. Krishna Sagar, M. Imran

引用次数: 0

Electrical Distribution System Power Loss Reduction and Voltage Profile Enhancement by Network Reconfiguration Using PSO 基于粒子群算法的电网重构降低配电系统功率损耗及电压分布增强

2019 Fifth International Conference on Electrical Energy Systems (ICEES) Pub Date : 2019-02-01 DOI: 10.1109/icees.2019.8719292

Vinay J Shetty, S. Ankaliki

引用次数: 9

Performance analysis of Three Level Interleaved Boost Converter with Coupled Inductor 耦合电感三电平交错升压变换器的性能分析

2019 Fifth International Conference on Electrical Energy Systems (ICEES) Pub Date : 2019-02-01 DOI: 10.1109/ICEES.2019.8719313

N. Shanthi, D. R

引用次数: 2

New Correlation Technique for RE Power Forecasting using Neural Networks 基于神经网络的可再生能源功率预测新相关技术

2019 Fifth International Conference on Electrical Energy Systems (ICEES) Pub Date : 2019-02-01 DOI: 10.1109/ICEES.2019.8719320

K. Gireeshma, Chandra Shekhar Reddy Atla, K. L. Rao

{"title":"New Correlation Technique for RE Power Forecasting using Neural Networks","authors":"K. Gireeshma, Chandra Shekhar Reddy Atla, K. L. Rao","doi":"10.1109/ICEES.2019.8719320","DOIUrl":"https://doi.org/10.1109/ICEES.2019.8719320","url":null,"abstract":"Ambiguity in present power system operation increases due to variable nature of climate and more penetration of Renewable Energy (RE). Therefore, for successful operation of power system network an accurate and efficient forecasting of RE power generation is essential. In this paper, multi-layer Feed Forward Artificial Neural Network (FF-ANN) model is used for training the datasets for short term forecasting of wind power. There are two steps involved in this work namely training and forecasting. During training, for optimizing the parameters of FF-ANN, Levenberg Marquadrt (LM) learning algorithm is used. For forecasting wind power, a new technique has been proposed and the method here is referred as Weighted Least Square Error Correlation method (WLSEC). The proposed method is implemented in C+ + platform. The performance of the model has been tested with practical data, in one of the southern states in India, considering one year historical data with hourly resolution. The Mean Absolute Percentage Error (MAPE) for forecasting wind power hourly is observed as7.32% with proposed method, where as it is 9% with Back Propagation Neural Network (BPNN). This comparison clearly shows the effectiveness of proposed model to fore cast short term (hourly) wind power.","PeriodicalId":421791,"journal":{"name":"2019 Fifth International Conference on Electrical Energy Systems (ICEES)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123688684","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: 3