2018 IEEE 7th International Conference on Power and Energy (PECon)最新文献_第4页

Towards the Implementation of Real-Time Transient Instability Identification and Control in TNB TNB暂态不稳定实时辨识与控制的实现研究

2018 IEEE 7th International Conference on Power and Energy (PECon) Pub Date : 2018-12-01 DOI: 10.1109/PECON.2018.8684140

M. Sarmin, S. K. S. Abdullah, N. Saadun, M. T. Azmi, Nur Nadia Nor Khairul Azha, N. Yusuf

引用次数: 0

Performance Evaluation of Single-Phase H-Bridge Inverter Using Selective Harmonic Elimination and Sinusoidal PWM Techniques 采用选择性谐波消除和正弦脉宽调制技术的单相h桥逆变器性能评价

2018 IEEE 7th International Conference on Power and Energy (PECon) Pub Date : 2018-12-01 DOI: 10.1109/PECON.2018.8684090

S. Azmi, A. Shukor, S. Rahim

引用次数: 10

Advanced Condition based Diagnostics of High Voltage Generators and Motors 高压发电机和电动机的先进状态诊断

2018 IEEE 7th International Conference on Power and Energy (PECon) Pub Date : 2018-12-01 DOI: 10.1109/PECON.2018.8684168

Detlef Hummes, Amjad Hussain, B. Fruth, C. Caironi

引用次数: 0

Modeling a Multi-Junction PV Cell Based on Analytical Relations for Use in Associated Simulations 基于解析关系的多结光伏电池建模与关联仿真

2018 IEEE 7th International Conference on Power and Energy (PECon) Pub Date : 2018-12-01 DOI: 10.1109/PECON.2018.8684109

Mehdi Zarei Tazehkand, S. Hamid Fathi

引用次数: 2

Estimation of Transformers Health Index Based On Condition Parameter Factor and Hidden Markov Model 基于条件参数因子和隐马尔可夫模型的变压器健康指数估计

2018 IEEE 7th International Conference on Power and Energy (PECon) Pub Date : 2018-12-01 DOI: 10.1109/PECON.2018.8684158

A. M. Selva, M. Yahaya, N. Azis, M. Z. A. Kadir, J. Jasni, Y. Z. Y. Ghazali

{"title":"Estimation of Transformers Health Index Based On Condition Parameter Factor and Hidden Markov Model","authors":"A. M. Selva, M. Yahaya, N. Azis, M. Z. A. Kadir, J. Jasni, Y. Z. Y. Ghazali","doi":"10.1109/PECON.2018.8684158","DOIUrl":"https://doi.org/10.1109/PECON.2018.8684158","url":null,"abstract":"This paper presents a study to estimate future Health Index (HI) of transformer population based on Hidden Markov Model (HMM). In this paper, HI was represented as hidden state and the condition parameter factors in the HI algorithm namely Dissolved Gas Analysis Factor (DGAF), Oil Quality Analysis Factor (OQAF) and Furfural Analysis Factor (FAF) were represented as the observable states. A case study of 1130 oil samples from 373 oil-typed distribution transformers (33/11 kV and 30 MVA) were examined. First, the mean for HI in each year was computed and the transition probabilities for the condition data were obtained based on non-linear optimization technique. Next, the emission probabilities for each of the condition parameter factors were derived based on frequency of occurrence method. Subsequently, the future states probability distribution was computed based on the HMM prediction model and viterbi algorithm was applied to find the best optimal path sequence of HI for the respective observable condition. Finally, the predicted and computed HI were compared to the hypothesized distribution. Majority of the predicted HI agrees with computed HI. Predicted HI based on OQAF records the most accurate estimation throughout the sampling years. Inconsistencies are observed in year 2 and between year 7 and 10 for the predicted HI based on FAF. The predicted HI based on DGAF is in line with the computed HI during the first 2 years and deviates at the later stage of the sampling period.","PeriodicalId":278078,"journal":{"name":"2018 IEEE 7th International Conference on Power and Energy (PECon)","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126895527","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

A New Flashover Prediction on Outdoor Polluted Insulator Using Leakage Current Harmonic Components 基于泄漏电流谐波分量的室外污染绝缘子闪络预测新方法

2018 IEEE 7th International Conference on Power and Energy (PECon) Pub Date : 2018-12-01 DOI: 10.1109/PECON.2018.8684043

A. Salem, R. Abd-Rahman, H. Ahmad, M. S. Kamarudin, N. Jamal, N. Othman, M. T. Ishak

{"title":"A New Flashover Prediction on Outdoor Polluted Insulator Using Leakage Current Harmonic Components","authors":"A. Salem, R. Abd-Rahman, H. Ahmad, M. S. Kamarudin, N. Jamal, N. Othman, M. T. Ishak","doi":"10.1109/PECON.2018.8684043","DOIUrl":"https://doi.org/10.1109/PECON.2018.8684043","url":null,"abstract":"Investigating of insulator performance is a continuing concern within the power system, so the study of the insulator parameters is required. The present paper aims to use new criteria and approach to predict the occurrence of flashover of (100 * 60 mm) plates of silicon rubber insulator using harmonics component of leakage current. the signal of leakage current of insulator with different pollution levels was measured under different weather conditions. Furthermore, to evaluate the effect of weather variables, various values of water conductivity were used for the experiments. The new criteria (Ki) is ratio of sum of leakage current harmonics value at frequencies 0-100 Hz to sum of leakage current harmonics value at frequencies150-500 Hz have determined. The proposed criteria can be used as wireless diagnostic tools for contamination levels flashover can occurred. Test was conducted by two wetting methods of sample SIR insulator is spray and dipping, different voltages 7kV and 14 kV have been applied. Test results shown high performance of this method.","PeriodicalId":278078,"journal":{"name":"2018 IEEE 7th International Conference on Power and Energy (PECon)","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128117232","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: 11

LabVIEW Implementation for Power Disturbances Classification 电力干扰分类的LabVIEW实现

2018 IEEE 7th International Conference on Power and Energy (PECon) Pub Date : 2018-12-01 DOI: 10.1109/PECON.2018.8684153

S. H. Asman, Ahmad Farid Abidin, Mohd Abdul Talib Mat Yusoh

{"title":"LabVIEW Implementation for Power Disturbances Classification","authors":"S. H. Asman, Ahmad Farid Abidin, Mohd Abdul Talib Mat Yusoh","doi":"10.1109/PECON.2018.8684153","DOIUrl":"https://doi.org/10.1109/PECON.2018.8684153","url":null,"abstract":"The rapid growth of electric power industry nowadays has change the conventional framework where the power quality issues are being concern. Power quality issue known as power quality disturbances can substantially affect high sensitive utilization equipment such the malfunction of sensitive electronic medical equipment and adjustable speed motor drives trip off-line. In this study, wavelet technology with different mother wavelet, decomposition tree and different sampling rate is performed on the input signal in real-time. The instrument also permits the partial implementation of a wavelet decomposition tree. The real signals from Chroma programming are used in LabVIEW® algorithm by Data Acquisition (DAQ) card to acquire and digitize the input line signal to obtain the results. The results obtained in simulation using real signals demonstrate good performance of the instrument developed for the detection and analysis of different power quality disturbances with proper time information of the signal. The classification performance of power disturbances then has been analysed using Support Vector Machine (SVM).","PeriodicalId":278078,"journal":{"name":"2018 IEEE 7th International Conference on Power and Energy (PECon)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114076968","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

Contingency Analysis of a Power Grid with the Participation of Utility-Scale Solar PV Units: A Case Study from Sarawak, Malaysia 公用事业规模太阳能光伏发电机组参与电网的权变分析:以马来西亚沙捞越为例

2018 IEEE 7th International Conference on Power and Energy (PECon) Pub Date : 2018-12-01 DOI: 10.1109/PECON.2018.8684063

A. Balqis, Z. Khan, A. Haidar, A. Othman

引用次数: 5

Low Frequency Ripple Charging of Li-Ion Battery using Bidirectional Zeta DC-DC Converter to Improve Charge Transfer Efficiency 利用双向Zeta DC-DC变换器对锂离子电池进行低频纹波充电以提高充电转移效率

2018 IEEE 7th International Conference on Power and Energy (PECon) Pub Date : 2018-12-01 DOI: 10.1109/PECON.2018.8684089

J. S. Goud, K. R, K. R, Bhim Singh

引用次数: 3

Performance of Bentonite, Fly Ash and Wood Ash Mixtures as Grounding Enhancement Materials

2018 IEEE 7th International Conference on Power and Energy (PECon) Pub Date : 2018-12-01 DOI: 10.1109/PECON.2018.8684104

W. Ahmad, Y. Voon, J. Jasni, M. Ab-Kadir, Chandima Gomes

{"title":"Performance of Bentonite, Fly Ash and Wood Ash Mixtures as Grounding Enhancement Materials","authors":"W. Ahmad, Y. Voon, J. Jasni, M. Ab-Kadir, Chandima Gomes","doi":"10.1109/PECON.2018.8684104","DOIUrl":"https://doi.org/10.1109/PECON.2018.8684104","url":null,"abstract":"Grounding system is used to divert the lightning surge current, fault current or electromagnetic interference to earth, mainly for safety purposes. An effective grounding system requires low resistance path which could be achieved by treating the surrounding soil with grounding enhancement materials to effectively reduce its earth resistance. Such grounding enhancement materials could be chemical or natural based, where only natural enhancement materials are considered in this study. Six grounding system installations with various ratio of Bentonite, Fly Ash and Wood Ash mixtures were installed at School of Graduate Studies, UPM, and were compared to a Reference grounding system which is without any natural enhancement material added to the vicinity of the ground conductor. The main aim of this work is to evaluate the performance of the natural enhancement material mixtures as grounding enhancement materials. Fall-of-potential method with 62% rule and 0° separation angle were employed to measure the grounding system installations’ daily earth resistances for comparison purposes, for 130 days, i.e. from 12th Jan 2018 to 22nd May 2018. The performance of seven grounding system installations considered in this study in the descending order were Bentonite and Wood Ash mixture, 100% Bentonite, 100% Wood Ash, Bentonite and Fly Ash mixture, Fly Ash and Wood Ash mixture, 100% Fly Ash, and Reference grounding systems, with the earth resistance values for the natural enhancement material mixture grounding systems were 20.17%, 20.61%, 24.17%, 25.48%, 28.96%, and 34.78%, respectively from the earth resistance value of the Reference grounding system on day-0. This clearly shown that Fly Ash may not be suitable to be used as natural enhancement material for grounding system installation. While, Wood Ash would be a new natural enhancement material as its performance is comparable to Bentonite, the widely used material.","PeriodicalId":278078,"journal":{"name":"2018 IEEE 7th International Conference on Power and Energy (PECon)","volume":"627 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125281463","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