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2024 32nd Southern African Universities Power Engineering Conference (SAUPEC)最新文献

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Predicting the cooling energy requirement for an inland building in South Africa 预测南非内陆建筑的制冷能源需求
2024 32nd Southern African Universities Power Engineering Conference (SAUPEC) Pub Date : 2024-01-24 DOI: 10.1109/SAUPEC60914.2024.10445005
T. Mosetlhe, A. Yusuff
{"title":"Predicting the cooling energy requirement for an inland building in South Africa","authors":"T. Mosetlhe, A. Yusuff","doi":"10.1109/SAUPEC60914.2024.10445005","DOIUrl":"https://doi.org/10.1109/SAUPEC60914.2024.10445005","url":null,"abstract":"Energy consumption contribution of heating and cooling of a building has been on the rise in recent times. In this paper, the cooling demand of an inland building in South Africa is predicted. Hourly historical data of weather and cooling energy was collected from Ninja for the year 2019 and subsequently analysed using Julia programming language. Initially, the pattern of features is analysed to establish a picture of their behaviour. These features are then used to train and test a regression model. The analysis shows that the data collected depicts accurately the situation in the inland of South Africa for cooling power requirements. Results of the regression analysis show that there is a need to segregate the data to enhance the accuracy of the model.","PeriodicalId":518587,"journal":{"name":"2024 32nd Southern African Universities Power Engineering Conference (SAUPEC)","volume":"34 5","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2024-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530843","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 Comparative Study of Power Transformer Winding Fault Diagnosis Using Machine Learning Algorithms 使用机器学习算法诊断电力变压器绕组故障的比较研究
2024 32nd Southern African Universities Power Engineering Conference (SAUPEC) Pub Date : 2024-01-24 DOI: 10.1109/SAUPEC60914.2024.10445036
G.A.Z Dlamini, Dr Bonginkosi Thango, P. Bokoro
{"title":"A Comparative Study of Power Transformer Winding Fault Diagnosis Using Machine Learning Algorithms","authors":"G.A.Z Dlamini, Dr Bonginkosi Thango, P. Bokoro","doi":"10.1109/SAUPEC60914.2024.10445036","DOIUrl":"https://doi.org/10.1109/SAUPEC60914.2024.10445036","url":null,"abstract":"In today’s distribution and transmission infrastructure, power transformers have proven to be one of the maximum crucial components. Assessing the integrity of power transformer winding is imperative as winding failure is the most dominant failure location. Based on the reported literature a common trend with the research work is that they only consider one machine learning method and do not use other existing methods as benchmarks to corroborate proposed approaches. In this work, a comparative analysis of two trained well known, and broadly applied Machine Learning Algorithms (MLAs): Artificial Neural Network (ANN) and Support Vector Machine (SVM) to assess the power transformer winding fault is carried out. This work also introduces a machine learning algorithm that has the highest performance in terms of accuracy (validation and testing) with measured data from 300 power transformers that are independently inspected by industry connoisseurs. The obtained results show that the ANN method yields the best results when compared to the other algorithm.","PeriodicalId":518587,"journal":{"name":"2024 32nd Southern African Universities Power Engineering Conference (SAUPEC)","volume":"7 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2024-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530944","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
Unlocking Sustainability Potential: UCT's Solar PV Systems as a Living Lab Model 释放可持续发展潜力：作为 "生活实验室 "模式的 UCT 太阳能光伏系统
2024 32nd Southern African Universities Power Engineering Conference (SAUPEC) Pub Date : 2024-01-24 DOI: 10.1109/SAUPEC60914.2024.10445041
Katleho Thabiso Malatse, D. Oyedokun, Manfred Braune
{"title":"Unlocking Sustainability Potential: UCT's Solar PV Systems as a Living Lab Model","authors":"Katleho Thabiso Malatse, D. Oyedokun, Manfred Braune","doi":"10.1109/SAUPEC60914.2024.10445041","DOIUrl":"https://doi.org/10.1109/SAUPEC60914.2024.10445041","url":null,"abstract":"This paper highlights the synergy between the Living Lab approach and UCT's solar PV systems, illustrating a practical model for sustainability initiatives. Section IV offers a real-world application of the Living Lab framework, showcasing the university's transition to solar PV systems and its significant potential. The framework's ten key elements find resonance in the selection, setup, and monitoring of these systems. UCT's current PV infrastructure, representing just 2% of its potential, emphasizes the room for growth and integration of sustainable practices. The results show that if 80% of the available space (26 434 m2) is used, UCT could achieve 4,86 GWh of energy and reduce 5,05 kilotons of carbon emissions. The value of the existing system lies not only in energy generation but also in the data-driven approach, which informs adjustments and further expansion. This symbiotic relationship between framework and implementation is a paradigm for institutions seeking holistic sustainability in a real-world context.","PeriodicalId":518587,"journal":{"name":"2024 32nd Southern African Universities Power Engineering Conference (SAUPEC)","volume":"37 10","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2024-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530837","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
Improving the Performance of a Four Branch Passive Filter Using a Zero Sequence Blocking Transformer 利用零序阻断变压器提高四分支无源滤波器的性能
2024 32nd Southern African Universities Power Engineering Conference (SAUPEC) Pub Date : 2024-01-24 DOI: 10.1109/SAUPEC60914.2024.10445069
Azile Mtikitiki, Sibulele Mtakati, Kimon Silwal
{"title":"Improving the Performance of a Four Branch Passive Filter Using a Zero Sequence Blocking Transformer","authors":"Azile Mtikitiki, Sibulele Mtakati, Kimon Silwal","doi":"10.1109/SAUPEC60914.2024.10445069","DOIUrl":"https://doi.org/10.1109/SAUPEC60914.2024.10445069","url":null,"abstract":"It is a known disadvantage of passive filters that their effectiveness in a distribution network is dependent on the source impedance. This is the case with the double tuned four branch, shunt, passive filter, whose performance, at the zero sequence harmonic, is poor due to low zero sequence source harmonic impedance. In this paper, it is experimentally demonstrated that the performance of the filter can be significantly improved by increasing the zero sequence impedance of the source. This is done by placing a zero sequence blocking transformer in series with the source and a four branch, shunt passive filter across the line to simultaneously filter a zero and a nonzero sequence current harmonic from three balanced single phase nonlinear loads.","PeriodicalId":518587,"journal":{"name":"2024 32nd Southern African Universities Power Engineering Conference (SAUPEC)","volume":"37 7","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2024-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530604","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
The Cost Implications of Cycling Coal-fired Power Stations to Support Increased Renewable Energy Generation 循环燃煤发电站以支持增加可再生能源发电的成本影响
2024 32nd Southern African Universities Power Engineering Conference (SAUPEC) Pub Date : 2024-01-24 DOI: 10.1109/SAUPEC60914.2024.10445100
P. Mzimba, K. Langerman, Joanne Calitz
{"title":"The Cost Implications of Cycling Coal-fired Power Stations to Support Increased Renewable Energy Generation","authors":"P. Mzimba, K. Langerman, Joanne Calitz","doi":"10.1109/SAUPEC60914.2024.10445100","DOIUrl":"https://doi.org/10.1109/SAUPEC60914.2024.10445100","url":null,"abstract":"The ambitious penetration of renewable energy into the future energy mix compels coal-fired power stations to operate under a cycling regime. Therefore, the financial implications of this operation must be seamlessly incorporated into future energy planning. This study used the calculated costs incurred by Majuba Power Station due to cycling operations in 2016. It projected the total cycling costs for the Eskom coal-fired fleet in 2035. The cost of cycling operations per scenario of the energy mix as per Wright and Calitz’s (2020) systems analysis report was calculated, comparing the relative costs of two-shifting and load-following. The study also estimated the two-shifting events for each coal-fired plant operational in 2035. This paper projects differential costs for cycling operations in 2035, influenced by primary energy resource consumption rates and costs. Considering the cost of load-following and the cost of two-shifting, the annual cost of cycling the coal-fired fleet is expected to range between R25.5 million and R695.1 million in 2035. Majuba Power Station is estimated to incur the most cost of two-shifting for the fleet in all four scenarios, projected to be approaching R500 million, while other stations are below R100 million.","PeriodicalId":518587,"journal":{"name":"2024 32nd Southern African Universities Power Engineering Conference (SAUPEC)","volume":"51 6","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2024-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530755","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
Exploring The Impact Of Inductive Current Transformers On Harmonic Emission Measurements For South African Grid Code Compliance 探索电感式电流互感器对谐波发射测量的影响，以符合南非电网规范
2024 32nd Southern African Universities Power Engineering Conference (SAUPEC) Pub Date : 2024-01-24 DOI: 10.1109/SAUPEC60914.2024.10445104
R. Murray, J. D. de Kock
{"title":"Exploring The Impact Of Inductive Current Transformers On Harmonic Emission Measurements For South African Grid Code Compliance","authors":"R. Murray, J. D. de Kock","doi":"10.1109/SAUPEC60914.2024.10445104","DOIUrl":"https://doi.org/10.1109/SAUPEC60914.2024.10445104","url":null,"abstract":"There have been various revisions of the South African Grid Code for Renewable Power Plants. This paper specifically focuses on the harmonic emissions component of the Grid Code, and how inductive current transformers (commonly used in outdoor substations) can impact the accuracy of these measurements. This paper considers inductive burden and harmonic current amplitude as two components to consider. An increased ratio error is introduced when lower current harmonic amplitudes are measured, typically below 0.5 A. An even greater ratio error is experienced when inductive burdens are connected to the secondary circuit of the current transformers. Conducting measurements and quantify the burden at each site is of importance, while also determining its influence on measurements when conducting harmonic current analysis for Grid Code compliance. Once quantified, these errors can be compensated for to improve the accuracy of these harmonic current measurements.","PeriodicalId":518587,"journal":{"name":"2024 32nd Southern African Universities Power Engineering Conference (SAUPEC)","volume":"57 4","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2024-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530596","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
Quantification of Strategic Reserve for a Wind Farm Based on a Linear Regression Machine Learning Scheme: A Case Study of Great Kei Local Municipality, South Africa 基于线性回归机器学习方案的风电场战略储备量化：南非 Great Kei 地方市政案例研究
2024 32nd Southern African Universities Power Engineering Conference (SAUPEC) Pub Date : 2024-01-24 DOI: 10.1109/SAUPEC60914.2024.10445054
A. Yusuff, T. Mosetlhe
{"title":"Quantification of Strategic Reserve for a Wind Farm Based on a Linear Regression Machine Learning Scheme: A Case Study of Great Kei Local Municipality, South Africa","authors":"A. Yusuff, T. Mosetlhe","doi":"10.1109/SAUPEC60914.2024.10445054","DOIUrl":"https://doi.org/10.1109/SAUPEC60914.2024.10445054","url":null,"abstract":"Inherent stochastic nature of generating electric power from wind power poses a challenge to short-term electricity markets. In this paper we collected expected electricity generation for wind power and weather data at one hour interval over a period of one year at Great Kei Local Municipality in South Africa. A linear regression machine learning scheme is subsequently used to predict expected available wind power as well as the quantification of strategic reserve. The results show that there is good degree of alignment between the observed and predicted wind power. The scheme is also able to quantify strategic reserve needed by wind power producers (WPP) in order to mitigate losses during participation in short-term electricity market. A strategic reserve margin needed for a wind farm with an installed capacity of 21 MW , is estimated to be ± 1.344 MW .","PeriodicalId":518587,"journal":{"name":"2024 32nd Southern African Universities Power Engineering Conference (SAUPEC)","volume":"61 2","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2024-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530982","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
Improved Model Predictive controller (MPC) for an Automatic Voltage Regulator (AVR) 用于自动电压调节器（AVR）的改进型模型预测控制器（MPC）
2024 32nd Southern African Universities Power Engineering Conference (SAUPEC) Pub Date : 2024-01-24 DOI: 10.1109/SAUPEC60914.2024.10445066
N. Mazibuko, K. T. Akindeji, K. Moloi, G. Sharma
{"title":"Improved Model Predictive controller (MPC) for an Automatic Voltage Regulator (AVR)","authors":"N. Mazibuko, K. T. Akindeji, K. Moloi, G. Sharma","doi":"10.1109/SAUPEC60914.2024.10445066","DOIUrl":"https://doi.org/10.1109/SAUPEC60914.2024.10445066","url":null,"abstract":"The achievement of a robust and prompt response in an Automatic Voltage Regulator (AVR) system presents a significant challenge as a result of the high inductance of synchronous generator (SG) windings. Considering the importance of improving AVR performance, it is essential to utilize an appropriate control technique in order to achieve this goal. In this paper an MPC base controller for AVR is improved for an AVR system and compared to the existing Fuzzy Logic Controller (FLC) based AVR designed as my previous work to improve the performance of an AVR. Based on the comprehensive analysis of the available literature, it can be inferred that the exploration of advanced control systems, specifically the Model Predictive Controller (MPC), has not been thoroughly examined within the current corpus of scholarly works. In this work the MPC controller is optimized using MATLAB Simulink. In order to assess the performance of these controllers, we take into account metrics such as the integral of the absolute error (IAE) and the integral of the squared error (ISE) rise time (Tr), settling time (Ts) and the response time has been reduced to 0.4 seconds hence the terminal voltage of a synchronous generator is restored to 1pu in 0.4 seconds.","PeriodicalId":518587,"journal":{"name":"2024 32nd Southern African Universities Power Engineering Conference (SAUPEC)","volume":"19 3","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2024-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530582","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
Gain Improvement in 4T Structure Detectors using Cascode Configured Pixels 利用级联配置像素提高 4T 结构探测器的增益
2024 32nd Southern African Universities Power Engineering Conference (SAUPEC) Pub Date : 2024-01-24 DOI: 10.1109/SAUPEC60914.2024.10445028
Johan Venter
{"title":"Gain Improvement in 4T Structure Detectors using Cascode Configured Pixels","authors":"Johan Venter","doi":"10.1109/SAUPEC60914.2024.10445028","DOIUrl":"https://doi.org/10.1109/SAUPEC60914.2024.10445028","url":null,"abstract":"In this paper, the normal BJT based pixels in the 4T structure detector was replaced with cascode configured pixels and key parameters were compared. Full detectors designs and performance have been published in literature, however generic mathematical methodology research in readout circuitry is lacking for detector development. Two versions of the cascode configured pixels were used (BJT only based and BJT/MOSFET combination based configurations). Y-parameter representation was used to perform the comparison using techniques previously published. It was found in both modified 4T pixel structure detectors that the transresistance gain improved significantly (from MV/A range to GV/A range). Using these modified mathematical models, a designer can easily design a 4T pixel structure detector for a wider set of circumstances previously not possible which results in more optimised detectors. It was found by replacing the normal pixels with cascode configured pixels that the overall gain is improved significantly due to a reduction in input resistance owing to the cascade configured pixels.","PeriodicalId":518587,"journal":{"name":"2024 32nd Southern African Universities Power Engineering Conference (SAUPEC)","volume":"18 3","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2024-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530583","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
Energy Management of Hydrogen Fuel Cell and Battery Freight Locomotive 氢燃料电池和电池货运机车的能源管理
2024 32nd Southern African Universities Power Engineering Conference (SAUPEC) Pub Date : 2024-01-24 DOI: 10.1109/SAUPEC60914.2024.10445092
CS Shoba, T. Mosetlhe, A. Yusuff
{"title":"Energy Management of Hydrogen Fuel Cell and Battery Freight Locomotive","authors":"CS Shoba, T. Mosetlhe, A. Yusuff","doi":"10.1109/SAUPEC60914.2024.10445092","DOIUrl":"https://doi.org/10.1109/SAUPEC60914.2024.10445092","url":null,"abstract":"Hybrid electric vehicles come with the requirements to coordinate power sharing amongst the sources using the energy management system (EMS). This work investigates the effectiveness of frequency rule-based EMS on hybrid freight locomotive. Energetic macroscopic representation (EMR) and MATLAB/Simulink are used to control, represent and simulate interactions and power transfer of the system. The results show the filtering method is efficient in the coordination of power sharing amongst sources, managing the usage of regenerated power as well as ensuring the battery charge is sustained within limits.","PeriodicalId":518587,"journal":{"name":"2024 32nd Southern African Universities Power Engineering Conference (SAUPEC)","volume":"125 3","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2024-01-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140530953","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
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