2019 2nd International Conference on Power Energy, Environment and Intelligent Control (PEEIC)最新文献_第2页

Reduced Switch Count 36 level Inverter for Open End Winding Induction Motor Drive 减少开关计数36电平逆变器开放式绕组感应电机驱动

2019 2nd International Conference on Power Energy, Environment and Intelligent Control (PEEIC) Pub Date : 2019-10-01 DOI: 10.1109/PEEIC47157.2019.8976554

Rajat Sachan, Neelesh Kumar, Aditya Arvind, A. Arya, Sanjiv Kumar

引用次数: 2

Autonomous Traffic Management using Big Data in a Network of IoT Enabled Devices 在支持物联网的设备网络中使用大数据的自主交通管理

2019 2nd International Conference on Power Energy, Environment and Intelligent Control (PEEIC) Pub Date : 2019-10-01 DOI: 10.1109/PEEIC47157.2019.8976687

Robin Singh, Sonia Saini, R. Bathla

引用次数: 0

Revolution of Green Accounting: A Conceptual Review 绿色会计革命:概念回顾

2019 2nd International Conference on Power Energy, Environment and Intelligent Control (PEEIC) Pub Date : 2019-10-01 DOI: 10.1109/PEEIC47157.2019.8976544

Shalini Singh, Anjana Singh, S. Arora, S. Mittal

引用次数: 5

An Introduction to Deep Learning Techniques in Ultrasound Image Modality 超声图像模态中的深度学习技术简介

2019 2nd International Conference on Power Energy, Environment and Intelligent Control (PEEIC) Pub Date : 2019-10-01 DOI: 10.1109/PEEIC47157.2019.8976806

M. Rai, Priyanka Datta, Reda Ansari

引用次数: 1

Application of Artificial Neural Network in Cryptography 人工神经网络在密码学中的应用

2019 2nd International Conference on Power Energy, Environment and Intelligent Control (PEEIC) Pub Date : 2019-10-01 DOI: 10.1109/PEEIC47157.2019.8976550

Bhavya Arora, K. Srishti, Nikita Khatri, V. Niranjan

引用次数: 2

Simulation Studies for Hybrid Power Flow Controller based Controller for SMIB System 基于混合潮流控制器的SMIB系统控制器仿真研究

2019 2nd International Conference on Power Energy, Environment and Intelligent Control (PEEIC) Pub Date : 2019-10-01 DOI: 10.1109/PEEIC47157.2019.8976843

Swati Bhasin, Annapurana Bhargava, V. Chaudhary, Sandeep Verma

引用次数: 0

Algorithmic Analysis on Hybrid-Intelligent Deregulated Electricity Market 混合智能解除管制电力市场的算法分析

2019 2nd International Conference on Power Energy, Environment and Intelligent Control (PEEIC) Pub Date : 2019-10-01 DOI: 10.1109/PEEIC47157.2019.8976596

M. Hooda, Yogendra K Awasthi, N. Thakur, A. Siddiqui

{"title":"Algorithmic Analysis on Hybrid-Intelligent Deregulated Electricity Market","authors":"M. Hooda, Yogendra K Awasthi, N. Thakur, A. Siddiqui","doi":"10.1109/PEEIC47157.2019.8976596","DOIUrl":"https://doi.org/10.1109/PEEIC47157.2019.8976596","url":null,"abstract":"Over the last decades, the demand for electricity is increasing due to the growth of population as well as the advancement of technology. This sharp increment in the consumption of electrical energy has kept the required demand unfulfilled and the deregulation of the electricity market has introduced more competition among private players in the electricity industry. This often leads to issues like higher congestion, Price volatility, Voltage limit, Stability limit and so on. Thus, with the intention of overriding these issues, this paper develops a hybrid optimization model referred as Group Search with Gravitational Force (GSGF) model, which is formed by hybridizing the concepts of Group Search Optimization (GSO) as well as Gravitational Search Algorithm (GSA). The unit commitment problem is solved by the proposed model with the consideration of system parameters under a deregulated environment. Further, with appropriate bidding coefficient $ac_{j}$ and $bc_{j}$, this research work designs the bidding model of IEEE 30 and IEEE 75 test bus system. Further, the proposed GSGF model is algorithmically evaluated in terms of Market Clearing Price (MCP), total profit and consumed bidding power, respectively by varying the maximum pursuit distance $wi_{max}$.","PeriodicalId":203504,"journal":{"name":"2019 2nd International Conference on Power Energy, Environment and Intelligent Control (PEEIC)","volume":"142 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129330053","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

Development of a Peer to peer electricity exchange model in micro grids for rural electrification 农村电气化微电网点对点电力交换模式的开发

2019 2nd International Conference on Power Energy, Environment and Intelligent Control (PEEIC) Pub Date : 2019-10-01 DOI: 10.1109/PEEIC47157.2019.8976848

V. Harish, N. Anwer, Amit Kumar

{"title":"Development of a Peer to peer electricity exchange model in micro grids for rural electrification","authors":"V. Harish, N. Anwer, Amit Kumar","doi":"10.1109/PEEIC47157.2019.8976848","DOIUrl":"https://doi.org/10.1109/PEEIC47157.2019.8976848","url":null,"abstract":"Lot of discussions has been going on peer to peer electricity sharing and trading in a microgrid scenario all over the world. With the advent of Smart Grids and Transactive Energy Systems, design of a reliable electricity exchange model that can integrate the on-site generation of renewable energy sources, variable loads and households without rooftop solar PVs in a microgrid scenario, is necessary. All around the world, off-grid solar based systems are being utilized to satisfy the electricity demands of isolated rural areas. Though cheap, such options suffer from limitations of demand-supply mismatch and scalability issues. In the present work, a peer to peer (P2P) electricity exchange model is developed to facilitate sharing of power among residential buildings in a rural microgrid scenario. Developed model consists of prosumers, consumer and a centralized P2P station. Different topologies that can be included for developing a P2P power sharing architecture has also been presented. A three peer P2P model with an objective of minimization of loss of power in sharing has been formulated to better utilize the on-site power generation from rooftop solar PV. Simulation results show that at optimal power sharing point better utilization of solar PV power with reduced dependence on grid and lower energy costs can be obtained.","PeriodicalId":203504,"journal":{"name":"2019 2nd International Conference on Power Energy, Environment and Intelligent Control (PEEIC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129835975","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: 6

Anatomization on Range-free Localization Algorithms in Wireless Sensor Networks 无线传感器网络中无距离定位算法的解剖

2019 2nd International Conference on Power Energy, Environment and Intelligent Control (PEEIC) Pub Date : 2019-10-01 DOI: 10.1109/PEEIC47157.2019.8976808

Jigyasa Chadha, Aarti Jain

{"title":"Anatomization on Range-free Localization Algorithms in Wireless Sensor Networks","authors":"Jigyasa Chadha, Aarti Jain","doi":"10.1109/PEEIC47157.2019.8976808","DOIUrl":"https://doi.org/10.1109/PEEIC47157.2019.8976808","url":null,"abstract":"A Wireless Sensor Networks (WSN's) is composed of large number of wireless connected nodes that interact and cooperate to sense & exchange the useful data. Localization i.e. finding of own location by a sensor node is an important aspect in WSN. Accuracy of localization techniques is an indispensable parameter that helps to figure out suitability of the algorithms. The basic aim of these methods is to increase the efficiency & accuracy of the estimated position. We focus on analyzing the performance of diverse Range-free Localization Algorithms to highlight uniqueness of algorithm in WSNs. In recent papers, several improvements have been proposed for localization of sensor nodes to enhance their performance. Finally, to uphold the effectiveness of the each algorithm we hereby present the analysis of the several range-free localization algorithms in WSNs. In this paper we have presented a comprehensive review of the range free localization methods. In our survey, each discussed algorithm is categorized on basis of applicability, position estimating efficiency and computational complexity.","PeriodicalId":203504,"journal":{"name":"2019 2nd International Conference on Power Energy, Environment and Intelligent Control (PEEIC)","volume":"PP 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126444902","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: 2

Traffic Resolution Algorithms, Machine Learning and Sensors 交通分辨率算法，机器学习和传感器

2019 2nd International Conference on Power Energy, Environment and Intelligent Control (PEEIC) Pub Date : 2019-10-01 DOI: 10.1109/PEEIC47157.2019.8976572

Mridul Sokhi, Ginni Arora

{"title":"Traffic Resolution Algorithms, Machine Learning and Sensors","authors":"Mridul Sokhi, Ginni Arora","doi":"10.1109/PEEIC47157.2019.8976572","DOIUrl":"https://doi.org/10.1109/PEEIC47157.2019.8976572","url":null,"abstract":"Traffic detection software or applications already exist in the market today, be it embedded as a small aspect of a navigation app or a complete standalone individual platform but all of them have a sole purpose to detect the magnitude of traffic i.e. cars present in a particular area or a road. These technologies are also embedded many platforms which incorporate technologies like IoT and big data analytics which can determine the speed and location and even predict the many outcomes based on the heat signatures, fuel level, carriage etc. of many vehicles and help in live monitoring of such. Though all these technologies help in avoiding the traffic but no such technology can help in resolving the traffic once you are stuck in one. This paper talks about a proposition of a solution which by utilizing the present technologies in the market like mapping of traffic threshold and density analysis which works together with machine learning based algorithms and IoT enabled vehicles and passing instructions computed by the algorithm to each of the vehicles can help in achieving and resolving one of the most prominent problems faced by mankind today.","PeriodicalId":203504,"journal":{"name":"2019 2nd International Conference on Power Energy, Environment and Intelligent Control (PEEIC)","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131434909","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: 0