2013 International Conference on Power, Energy and Control (ICPEC)最新文献_第7页

Transformer diagnostics under dissolved gas analysis using Support Vector Machine 支持向量机在溶解气体分析下的变压器诊断

2013 International Conference on Power, Energy and Control (ICPEC) Pub Date : 2013-06-13 DOI: 10.1109/ICPEC.2013.6527647

A. Mehta, R. N. Sharma, S. Chauhan, S. Saho

{"title":"Transformer diagnostics under dissolved gas analysis using Support Vector Machine","authors":"A. Mehta, R. N. Sharma, S. Chauhan, S. Saho","doi":"10.1109/ICPEC.2013.6527647","DOIUrl":"https://doi.org/10.1109/ICPEC.2013.6527647","url":null,"abstract":"Power transformer is vital equipment in any electrical power system. So any fault in the power transformer may lead to the interruption of power supply and accordingly the financial losses will also be great. So it is important to detect the incipient faults of transformer as early as possible. Among the existing methods for identifying the incipient faults, dissolved gas analysis (DGA) is the most popular and successful method. Any kind of fault inside transformer gives rise to overheating and will produce characteristics amount of gases in transformer oil. In this paper classical methods of DGA such as Key Gas Method, Rogers Ratio Method and Duval Triangle Method are reviewed first and the need to integrate with the artificial intelligence (AI) methods for improving the performance of diagnosis is justified. Reported work presents a new and efficient artificial intelligence technique that is support vector machine (SVM) for transformer fault diagnosis using dissolved gas analysis. The proposed method i.e. Support Vector Machine is a classification tool based on statistical learning theory. Here 3 types of multiclass SVM method that is One - against-One, One-against-All and binary decision tree have been used for the fault diagnosis. Each SVM method has been trained and tested with many practical fault data of power transformers.","PeriodicalId":176900,"journal":{"name":"2013 International Conference on Power, Energy and Control (ICPEC)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117000912","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: 33

Fuzzy controlled intelligent water cooler for energy conservation and customer satisfaction 模糊控制智能饮水机，节能降耗，客户满意

2013 International Conference on Power, Energy and Control (ICPEC) Pub Date : 2013-06-13 DOI: 10.1109/ICPEC.2013.6527759

P. Babu, C. Bhavya, B. Veena, S. Pavani

{"title":"Fuzzy controlled intelligent water cooler for energy conservation and customer satisfaction","authors":"P. Babu, C. Bhavya, B. Veena, S. Pavani","doi":"10.1109/ICPEC.2013.6527759","DOIUrl":"https://doi.org/10.1109/ICPEC.2013.6527759","url":null,"abstract":"Electrical energy is universally accepted as an essential commodity for human life. Electrical energy is the prime mover of economic growth and vital to the sustenance of a modern economy. Future economic growth crucially depends on the long term availability of electrical energy from natural resources. The attention focused on luxurious means of comfort and the trend going to electrical goods for maximum application are giving rise to heavy growth in demand for electrical energy. To reduce gap between the demand and supply, all types of available natural resources are being used. Even then the gap is continuously increasing due to ever increase in utilization of electrical energy. Hence, the only option left with us is to use available electrical energy efficiently and effectively by adopting energy conservation methods. In this paper a fuzzy controlled intelligent system is proposed to conserve the electrical energy in case of water cooler, aiming to minimize the energy consumption after the temperature of water reaches a certain predefined satisfaction level, thus maintains the perfect cooling of water and to avoid excess cooling. This paper shows the application of fuzzy logic techniques on water cooler to maintain temperature of water as per consumer requirements based on seasons.","PeriodicalId":176900,"journal":{"name":"2013 International Conference on Power, Energy and Control (ICPEC)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131070570","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

Performance analysis of PV fed single phase T-source inverter 光伏供电单相t源逆变器性能分析

2013 International Conference on Power, Energy and Control (ICPEC) Pub Date : 2013-06-13 DOI: 10.1109/ICPEC.2013.6527663

P. Sivaraman, R. Desanayagi

引用次数: 3

A wireless sensor network approach for the control of a multizone HVAC system 多区域暖通空调系统控制的无线传感器网络方法

2013 International Conference on Power, Energy and Control (ICPEC) Pub Date : 2013-06-13 DOI: 10.1109/ICPEC.2013.6527641

D. Sklavounos, E. Zervas, O. Tsakiridis, J. Stonham

{"title":"A wireless sensor network approach for the control of a multizone HVAC system","authors":"D. Sklavounos, E. Zervas, O. Tsakiridis, J. Stonham","doi":"10.1109/ICPEC.2013.6527641","DOIUrl":"https://doi.org/10.1109/ICPEC.2013.6527641","url":null,"abstract":"Energy consumption has become a very important case due to the global energy issue. Therefore, there is an increasing demand for efficient energy control in Heat Ventilation and Air Conditioning (HVAC) Systems. An effective method for controlling the heat energy in a multiple room building is the multizone approach, where each room is treated as a single zone and temperature control is applied separately for each zone. In the proposed technique, the multizone approach is adopted along with a Wireless Sensor Network (WSN) of temperature nodes, where each node covers a single zone and communicates its sensed values to adjacent nodes. Each node is responsible for the tuning of a heating source so that a preset zone temperature value is maintained. Moreover, each node utilizes a simple lumped capacity model for its controlling zone and based on the received neighbor temperature values detects possible divergences from the anticipated energy consumption. Simulation results using a simple weather temperature model and Proportional Integral (PI) controllers verify the effectiveness of the proposed method.","PeriodicalId":176900,"journal":{"name":"2013 International Conference on Power, Energy and Control (ICPEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114394668","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

Grid connected photovoltaic energy conversion system — A case study 并网光伏能源转换系统-案例研究

2013 International Conference on Power, Energy and Control (ICPEC) Pub Date : 2013-06-13 DOI: 10.1109/ICPEC.2013.6527617

S. Narendiran, Sarat Kumar Sahoo

引用次数: 2

Low-cost Photometric sensing for Maximum PV power generation 用于最大光伏发电的低成本光度传感

2013 International Conference on Power, Energy and Control (ICPEC) Pub Date : 2013-06-13 DOI: 10.1109/ICPEC.2013.6527708

S. Stella, B. L. Prasanth, T. K. MahendraBabu, K. Gnanambal

引用次数: 3

A theoretical analysis of controlling the speed of wind turbine and assemblage of solar system in the Wind Energy Conversion system 对风能转换系统中风力机转速控制和太阳能系统组合进行了理论分析

2013 International Conference on Power, Energy and Control (ICPEC) Pub Date : 2013-06-13 DOI: 10.1109/ICPEC.2013.6527738

R. Siddique, A. Faisal, M. Raihan, T. H. Asif

引用次数: 3

Control of SEPIC converter using neural network tuned PI controller 采用神经网络调谐PI控制器控制SEPIC变换器

2013 International Conference on Power, Energy and Control (ICPEC) Pub Date : 2013-06-13 DOI: 10.1109/ICPEC.2013.6527700

S. Venkatanarayanan, M. Saravanan

引用次数: 3

Estimation of harmonics and interharmonics using phase-locked loop 用锁相环估计谐波和间谐波

2013 International Conference on Power, Energy and Control (ICPEC) Pub Date : 2013-06-13 DOI: 10.1109/ICPEC.2013.6527711

D. Sharmitha, D. Sundararajan

引用次数: 6

Comparison between sigmoid variable reaching law and exponential reaching law for sliding mode controlled DC-DC Buck converter 滑模控制DC-DC Buck变换器s型变量趋近律与指数趋近律的比较

2013 International Conference on Power, Energy and Control (ICPEC) Pub Date : 2013-06-13 DOI: 10.1109/ICPEC.2013.6527673

G. Rajanna, H. N. Nagaraj

引用次数: 5