2020 IEEE PES/IAS PowerAfrica最新文献_第4页

A Medium Term Prediction on Feeder Trip Profile in Power Systems Network using Artificial Intelligence 基于人工智能的电网馈线跳线中期预测

2020 IEEE PES/IAS PowerAfrica Pub Date : 2020-08-01 DOI: 10.1109/PowerAfrica49420.2020.9219879

A. Airoboman, A. A. Adam, N. S. Idiagi, Aderibigbe M. Adeleke

{"title":"A Medium Term Prediction on Feeder Trip Profile in Power Systems Network using Artificial Intelligence","authors":"A. Airoboman, A. A. Adam, N. S. Idiagi, Aderibigbe M. Adeleke","doi":"10.1109/PowerAfrica49420.2020.9219879","DOIUrl":"https://doi.org/10.1109/PowerAfrica49420.2020.9219879","url":null,"abstract":"The prediction on Feeder Trip Profile (FTP) on feeders radiating from TCN Benin was carried out in this study. Data on reliability were collected from literature between the years 2010–2015 for GRA, Guinness, Koko, Switch-Station & Ikpoba-Dam Feeders (FDRs) respectively. The prediction on the feeders' reliability was carried out using Artificial Neural Network (ANN) to determine the FTP and observable trend of the FDRs, while the statistical tools; Root Mean Square Error RMSE and Mean Absolute Percentage Error MAPE were utilized to determine if the error from the forecast falls within acceptable limits. Results obtained indicated reliability values of 0.9786, 0.8306, 0.7707, 0.9467 and 0.9467 for GRA, Guinness, Koko, Switchstation, and Ikpobadam FDRs by the year 2020, and when compared with FTP of 2015, it was observed that GRA FDR showed a fairly constant FTP while the reverse was the case for the duo of observed for Koko and Guinness FDRs. Results from the statistical and ANN tool showed that the error margin falls within acceptable standard of a maximum of 0.5. The results from this study could therefore be useful for system's planning and operations.","PeriodicalId":325937,"journal":{"name":"2020 IEEE PES/IAS PowerAfrica","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123083969","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

DC Link Voltage and Power Flow Control of Doubly Fed Induction Generator in Wind Power System 风电系统中双馈感应发电机直流电压与潮流控制

2020 IEEE PES/IAS PowerAfrica Pub Date : 2020-08-01 DOI: 10.1109/PowerAfrica49420.2020.9219862

M. Tuka

引用次数: 1

Overcurrent Protection of a Stand-alone Microgrid with Static and Rotational Generators: Case Study of Tsumkwe Microgrid 静态和旋转发电机单机微电网的过流保护:Tsumkwe微电网案例研究

2020 IEEE PES/IAS PowerAfrica Pub Date : 2020-08-01 DOI: 10.1109/PowerAfrica49420.2020.9219820

A. Simeon, S. Chowdhury

引用次数: 1

Electric Transportation by a Solar Vehicle for Extreme Conditions in the Highlands Above 3800 masl 3800米以上高原极端条件下的太阳能汽车电动交通

2020 IEEE PES/IAS PowerAfrica Pub Date : 2020-08-01 DOI: 10.1109/PowerAfrica49420.2020.9219935

Julio Fredy Chura Acero, Wilhem R. Limachi Viamonte, Washington M. Soncco Vilcapaza, Walter Oswaldo Paredes Pareja

{"title":"Electric Transportation by a Solar Vehicle for Extreme Conditions in the Highlands Above 3800 masl","authors":"Julio Fredy Chura Acero, Wilhem R. Limachi Viamonte, Washington M. Soncco Vilcapaza, Walter Oswaldo Paredes Pareja","doi":"10.1109/PowerAfrica49420.2020.9219935","DOIUrl":"https://doi.org/10.1109/PowerAfrica49420.2020.9219935","url":null,"abstract":"The transport sector continues to be one of the sources with the greatest contribution of greenhouse gases, the main cause of global warming that has been progressively manifesting with warmer and unpredictable climates. For that was designed, implemented and tested a vehicle powered by solar energy, which contains a system of energy storage for powering an engine and produce the movement of a structure for a specific time, taking into account the incidence of solar light and the charge and discharge of the battery that is the power supply for the structure, taking as priority parameters: the voltage, current, time of charge and discharge of the battery, keeping in mind the construction of the mechanical component, the dimensions and adequate weight for the proper functioning of the vehicle. The operating voltage of the system that is defined in 47.65V, which is because we decided to occupy an energy storage system with 320.21 W, with a velocity 38.50 Km/h in the time of 10:00 hours. The vehicle was designed with a photovoltaic system with traction and electric body drive, the construction was carried out in the facilities of the National University of Juliaca and the tests in the center of the city of Juliaca-Peru.","PeriodicalId":325937,"journal":{"name":"2020 IEEE PES/IAS PowerAfrica","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122822966","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 Mitigation Concept for Energy-Demand Based Carbon Footprint in a University Campus 基于能源需求的大学校园碳足迹缓解概念

2020 IEEE PES/IAS PowerAfrica Pub Date : 2020-08-01 DOI: 10.1109/PowerAfrica49420.2020.9219838

S. S. Folorunso, M. Onibonoje, S. Wara

引用次数: 1

Natural Dye Sensitized Solar Cell Conversion Efficiency Enhancement: A Review 提高天然染料敏化太阳能电池转换效率的研究进展

2020 IEEE PES/IAS PowerAfrica Pub Date : 2020-08-01 DOI: 10.1109/PowerAfrica49420.2020.9219793

O. O. Nnorom, G. Onuegbu, C. Joe-Uzuegbu, E. Atimati

引用次数: 3

IEC61850 standard-based motor protection scheme 基于IEC61850标准的电机保护方案

2020 IEEE PES/IAS PowerAfrica Pub Date : 2020-08-01 DOI: 10.1109/PowerAfrica49420.2020.9219855

Joniff Wellen, S. Krishnamurthy

引用次数: 3

Inter-Turn Fault Detection Using Wavelet Analysis and Adaptive Neuro- Fuzzy Inference System 基于小波分析和自适应神经模糊推理系统的转间故障检测

2020 IEEE PES/IAS PowerAfrica Pub Date : 2020-08-01 DOI: 10.1109/PowerAfrica49420.2020.9219856

E. Frimpong, Tetteh Bright, Boahene Kojo, Thomas Adawari Michael

{"title":"Inter-Turn Fault Detection Using Wavelet Analysis and Adaptive Neuro- Fuzzy Inference System","authors":"E. Frimpong, Tetteh Bright, Boahene Kojo, Thomas Adawari Michael","doi":"10.1109/PowerAfrica49420.2020.9219856","DOIUrl":"https://doi.org/10.1109/PowerAfrica49420.2020.9219856","url":null,"abstract":"The paper presents an effective on-line technique for detecting inter-turn faults in power transformers. The scheme operates by extracting negative sequence current samples from both primary and secondary line currents. Excitation currents are also extracted from the line currents. The magnitude and phase of the negative sequence current samples are separately decomposed using a 3-level wavelet decomposition. The absolute peaks of detail 3 coefficients are obtained. Magnitude and phase ratios are computed from obtained absolute peak values. The maximum values of the excitation currents are also extracted. The obtained ratios, together with the maximum excitation current values are fed into an adaptive neuro-fuzzy inference System (ANFIS) which determines whether there is an inter-turn fault. Where an inter-turn fault is detected, the level of severity is classified. Also, the side (primary or secondary) of the transformer on which the fault has occurred is also determined. Development and testing of the scheme was done through simulations on a 138/13.8 kV, 100 MVA three-phase transformer model using the Matlab software. The accuracy of the scheme was found to be high.","PeriodicalId":325937,"journal":{"name":"2020 IEEE PES/IAS PowerAfrica","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133806621","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

Analysis of Torsional Stress and Fatigue of Turbine-Generator Shafts during Islanding 汽轮发电机离岛时轴扭应力与疲劳分析

2020 IEEE PES/IAS PowerAfrica Pub Date : 2020-08-01 DOI: 10.1109/PowerAfrica49420.2020.9219926

B. Babi, P. Bokoro

引用次数: 0

Optimal Placement of Distributed Energy Resources using Particle Swarm Optimization Techniques: A Review 基于粒子群优化技术的分布式能源优化配置研究进展

2020 IEEE PES/IAS PowerAfrica Pub Date : 2020-08-01 DOI: 10.1109/PowerAfrica49420.2020.9219837

T.I Mathebula, S. Chowdhury

引用次数: 0