ELEKTRIKA- Journal of Electrical Engineering最新文献_第9页

An Alternative Approach for Oil-immersed High Voltage Power Transformer Dissolved Gas Analysis Diagnostic Techniques 油浸高压变压器溶解气体分析诊断技术的一种替代方法

ELEKTRIKA- Journal of Electrical Engineering Pub Date : 2019-08-31 DOI: 10.11113/elektrika.v18n2.123

Ahmad Karimi Mehrabadi, A. Shemshadi, H. Shateri

{"title":"An Alternative Approach for Oil-immersed High Voltage Power Transformer Dissolved Gas Analysis Diagnostic Techniques","authors":"Ahmad Karimi Mehrabadi, A. Shemshadi, H. Shateri","doi":"10.11113/elektrika.v18n2.123","DOIUrl":"https://doi.org/10.11113/elektrika.v18n2.123","url":null,"abstract":"This article presents alternative analyzing method of extracted dissolved gases related to insulating oil of power transformers. Analysis of soluble and free gas is one of the most commonly used troubleshooting methods for detecting and evaluating equipment damage. Although the analysis of oil-soluble gases is often complex, it should be expertly processed during maintenance operation. The destruction of the transformer oil will produce some hydrocarbon type gases. The development of this index is based on two examples of traditional evaluation algorithms along with fuzzy logic inference engine. Through simulation process, the results of the initial fractures in the transformer are obtained in two ways by the \"Duval Triangle method” and \"Rogers’s ratios\". In continue, three digit codes containing the fault information are created based on the fuzzy logic inference engine to achieve better results and eliminate ambiguous zones in commonly used methods, especially in the “Duval Triangle method”. The proposed method is applied to 80 real transformers to diagnose the fault by analyzing the dissolved oil based on fuzzy logic. The results illustrate the proficiency of this alternative proposed algorithm. Finally, with utilization of a neural network the alternative practical inference function is derived to make the algorithm more usable in the online condition monitoring of power transformers.","PeriodicalId":312612,"journal":{"name":"ELEKTRIKA- Journal of Electrical Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122045187","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

A Hybrid PSO-ANFIS Approach for Horizontal Solar Radiation Prediction in Nigeria 尼日利亚水平太阳辐射预报的混合PSO-ANFIS方法

ELEKTRIKA- Journal of Electrical Engineering Pub Date : 2019-08-31 DOI: 10.11113/elektrika.v18n2.153

S. Salisu, M. Mustafa, M. Mustapha, Abdulrahaman Okino Otuoze, O. Mohammed

{"title":"A Hybrid PSO-ANFIS Approach for Horizontal Solar Radiation Prediction in Nigeria","authors":"S. Salisu, M. Mustafa, M. Mustapha, Abdulrahaman Okino Otuoze, O. Mohammed","doi":"10.11113/elektrika.v18n2.153","DOIUrl":"https://doi.org/10.11113/elektrika.v18n2.153","url":null,"abstract":"For efficient and reliable hydrogen production via solar photovoltaic system, it is important to obtain accurate solar radiation data. Though there are equipment specifically designed for solar radiation prediction but are very expensive and have high maintenance cost that most countries like Nigeria are unable to purchase. In this study, the accuracy of a hybrid PSO-ANFIS method is examined to predict horizontal solar radiation in Nigeria. The prediction is done based on the available meteorological data obtained from NIMET Nigeria. The meteorological data used for this study are monthly mean minimum temperature, maximum temperature, relative humidity and sunshine hours, which serves as inputs to the developed model. The model accuracy is evaluated using two statistical indicators Root Mean Square Error (RMSE) and Coefficient of determination (R²). The accuracy of the proposed model is validated using ANFIS, GA-ANFIS models and other literatures. Based on the statistical parameters used for the model evaluation, the results obtained proves PSO-ANFIS as a good model for predicting solar radiation with the values of RMSE=0.68318, R²=0.9065 at the training stage and RMSE=1.3838, R²=0.8058 at the testing stage. This proves the potentiality of PSO-ANFIS technique for accurate solar radiation prediction","PeriodicalId":312612,"journal":{"name":"ELEKTRIKA- Journal of Electrical Engineering","volume":"176 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126184435","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

Comparison of New and Previous Net Energy Metering (NEM) Scheme in Malaysia 马来西亚新的和以前的净能源计量(NEM)计划的比较

ELEKTRIKA- Journal of Electrical Engineering Pub Date : 2019-04-24 DOI: 10.11113/ELEKTRIKA.V18N1.141

Abdul Hafiz Razali, P. Abdullah, M. Y. Hassan, F. Hussin

引用次数: 21

Application of Bacterial Foraging Algorithm in The Allocation of DSTATCOM in 50-bus Canteen Feeder 细菌觅食算法在50客车食堂馈线DSTATCOM分配中的应用

ELEKTRIKA- Journal of Electrical Engineering Pub Date : 2019-04-24 DOI: 10.11113/ELEKTRIKA.V18N1.128

U. Musa, A. Mati, T. Yuvaraj

{"title":"Application of Bacterial Foraging Algorithm in The Allocation of DSTATCOM in 50-bus Canteen Feeder","authors":"U. Musa, A. Mati, T. Yuvaraj","doi":"10.11113/ELEKTRIKA.V18N1.128","DOIUrl":"https://doi.org/10.11113/ELEKTRIKA.V18N1.128","url":null,"abstract":"Voltage instability has been identified as the most critical factor responsible for poor power quality in electric power systems. The high losses experienced at the distribution level of these systems has become a major concern to power system operators, with about 10-13% of the total generation being dissipated as heat. Maintaining the system voltage within an acceptable limit will go a long way in reducing these losses and enhancing the overall system operational capability. The objective of this paper is to improve the voltage magnitude and reduce overall power losses in an existing 50-bus radial distribution feeder via the allocation of Distribution Static Compensator (DSTATCOM) using an established bacterial foraging algorithm (BFA) based model. The application of the swarm-based meta-heuristic model is extended to a three-quarter (75%) loading condition of the standard IEEE 33-bus test network and then, employed on the 50-bus Canteen feeder for both normal (100%) and three-quarter (75%) loading conditions. Comprehensive analysis was performed for both networks and the results were compared with their respective base-case scenarios. The final results of the evaluation obtained through simulation showed appreciable reduction in power losses and improvement in overall voltage profile with the allocation of DSTATCOM in both networks using the BFA based model. Voltage improvement in the region of 20.04% and active power loss reduction of 24.86% were recorded for three-quarter loading of the IEEE test network. For the 50-bus Canteen feeder, an overall voltage profile improvement of 6.13% and active power loss reduction of 22.84% were achieved for normal loading condition, whereas 2.99% and 19.71% improvement in total voltage profile and active power loss respectively were attained under three-quarter loading condition.","PeriodicalId":312612,"journal":{"name":"ELEKTRIKA- Journal of Electrical Engineering","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128446519","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

Compact Wideband Frequency Reconfigurable Metamaterial Antenna Design 紧凑型宽带可重构超材料天线设计

ELEKTRIKA- Journal of Electrical Engineering Pub Date : 2019-04-24 DOI: 10.11113/ELEKTRIKA.V18N1.145

A. Y. Iliyasu, M. Hamid, M. Rahim, Murtala Aminu-Baba, M. F. M. Yusof

{"title":"Compact Wideband Frequency Reconfigurable Metamaterial Antenna Design","authors":"A. Y. Iliyasu, M. Hamid, M. Rahim, Murtala Aminu-Baba, M. F. M. Yusof","doi":"10.11113/ELEKTRIKA.V18N1.145","DOIUrl":"https://doi.org/10.11113/ELEKTRIKA.V18N1.145","url":null,"abstract":"This paper presents the design of compact wideband frequency reconfigurable metamaterial (MTM) antenna. The design is based on the idea of obtaining single and multi-bands in wideband metamaterial antenna within the range of bandwidth. This is achieved by introducing capacitive slots which neutralize inductive properties and generate left handed capacitive parameter. The three series slots in the patch contribute for bandwidth enhancement while two PIN Diode Switches provide multi-bands operation. Computer Simulation Technology (CST) software is used to determine the operation and effectiveness of the proposed antenna. The approach has several notable merits which include improvement of spectrum utilization, minimize spectrum congestion, interference and provide bands selectivity. From the simulation results, it was found that, bandwidth was improved to 2.8 GHz which is equivalent to 82% fractional bandwidth. Also, it can switch to seven different frequency bands of operation with only two number of switches. The realized peak gain is 2.44 dBi and 3.15 dBi at 2.4 GHz and 5.0 GHz respectively with average efficiency of 95%. The antenna can be utilized for wireless communication and cognitive radio application.","PeriodicalId":312612,"journal":{"name":"ELEKTRIKA- Journal of Electrical Engineering","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114960005","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

ANFIS Model for Path Loss Prediction in the GSM and WCDMA Bands in Urban Area 城市GSM和WCDMA频段路径损耗预测的ANFIS模型

ELEKTRIKA- Journal of Electrical Engineering Pub Date : 2019-04-24 DOI: 10.11113/ELEKTRIKA.V18N1.140

N. Faruk, N. Surajudeen-Bakinde, A. Abdulkarim, S. Popoola, A. Abdulkarim, L. Olawoyin, Atayero

{"title":"ANFIS Model for Path Loss Prediction in the GSM and WCDMA Bands in Urban Area","authors":"N. Faruk, N. Surajudeen-Bakinde, A. Abdulkarim, S. Popoola, A. Abdulkarim, L. Olawoyin, Atayero","doi":"10.11113/ELEKTRIKA.V18N1.140","DOIUrl":"https://doi.org/10.11113/ELEKTRIKA.V18N1.140","url":null,"abstract":"Path loss propagation is a vital concern when designing and planning networks in mobile communication systems. Propagation models such as the empirical, deterministic and theoretical models, which possess complex, inconsistent, time-consuming and non-adaptable features, have proven to be inefficient in designing of wireless systems, thereby resulting in the need for a more reliable model. Artificial Intelligence methods seem to overcome the drawbacks of the propagation models for predicting path loss. In this paper, the ANFIS approach to path loss prediction in the GSM and WCDMA bands is presented for selected urban areas in Nigeria. Furthermore, the effects of the number of Membership Functions (MFs) are investigated. The prediction results indicated that the ANFIS model outperformed the Hata, Cost-231, Egli and ECC-33 models in both Kano and Abuja urban areas. In addition, an increase in the number of MFs conceded an improved RMSE result for the generalized bell-shaped MF. The general performance and outcome of this research work show the efficiency and usefulness of the ANFIS model in improving prediction accuracy over propagation models","PeriodicalId":312612,"journal":{"name":"ELEKTRIKA- Journal of Electrical Engineering","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133001560","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: 12

Application of Bat Algorithm for The Detection of Hidden Nodes in IEEE802.11ah Networks Bat算法在IEEE802.11ah网络中隐藏节点检测中的应用

ELEKTRIKA- Journal of Electrical Engineering Pub Date : 2019-04-24 DOI: 10.11113/ELEKTRIKA.V18N1.129

Kofoworola Fapohunda, E. N. Paulson, Zubair Suleiman, O. Saliu, D. Michael, Kamaludin M. Yusof

引用次数: 2

Aircraft Position Estimation Comparison of Multilateration System Lateration Algorithms with Different Reference Selection Techniques 不同参考选择技术下多倍体系统多倍体算法的飞机位置估计比较

ELEKTRIKA- Journal of Electrical Engineering Pub Date : 2019-04-24 DOI: 10.11113/ELEKTRIKA.V18N1.133

Abdulmalik Shehu Yaro

{"title":"Aircraft Position Estimation Comparison of Multilateration System Lateration Algorithms with Different Reference Selection Techniques","authors":"Abdulmalik Shehu Yaro","doi":"10.11113/ELEKTRIKA.V18N1.133","DOIUrl":"https://doi.org/10.11113/ELEKTRIKA.V18N1.133","url":null,"abstract":"The lateration algorithm is used by the multilateration (MLAT) system to estimation the position of an aircraft using a time difference of arrival (TDOA) measurement vector generated from its transponder emissions detected at spatially deployed ground station (GS)s. The accuracy at which the aircraft position is determined by the lateration algorithm depends on several factors two of which are the choice and number of reference GSs used in generating the TDOA measurement vector. This paper compares the aircraft PE accuracy of a lateration algorithm using TDOA measurement vector generated using a single and double GS reference selection techniques which are respectively based on signal-to-noise (SNR) and condition number computations. The PE accuracy comparison is carried out at some selected aircraft positions with the GSs in a square configuration distribution. Monte Carlo (MC) simulation result shows that the PE error obtained by the lateration algorithm using TDOA measurement vector generated with the double GS reference selection technique is on the average 20% less than that obtained using the single GS reference selection technique.","PeriodicalId":312612,"journal":{"name":"ELEKTRIKA- Journal of Electrical Engineering","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128251743","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

Compact Patch MIMO Antenna With Low Mutual Coupling For WLAN Applications 用于WLAN应用的低互耦紧凑型贴片MIMO天线

ELEKTRIKA- Journal of Electrical Engineering Pub Date : 2019-04-24 DOI: 10.11113/ELEKTRIKA.V18N1.146

Murtala Aminu-Baba, M. Rahim, F. Zubir, A. Y. Iliyasu, M. Yusoff, K. I. Jahun, O. Ayop

引用次数: 2

Dual-band Metamaterial Filtenna for WiMAX Application 用于WiMAX应用的双频超材料滤波器

ELEKTRIKA- Journal of Electrical Engineering Pub Date : 2019-04-24 DOI: 10.11113/ELEKTRIKA.V18N1.106

N. Azman, M. Yusoff, Muhammad Akram Mohd Sobri

引用次数: 0