{"title":"Impact of Integrating Residential Solar PV Clusters on Voltage Profile in Urban Distribution Network","authors":"Tawanda Maseva, S. Chowdhury","doi":"10.1109/SAUPEC/RobMech/PRASA48453.2020.9041009","DOIUrl":"https://doi.org/10.1109/SAUPEC/RobMech/PRASA48453.2020.9041009","url":null,"abstract":"This paper investigates the effect of connection location and penetration level of residential solar PV clusters on the voltage profile of an urban distribution network. The network was modelled in DIgSILENT and various Quasi-dynamic simulations were performed. Residential cluster load profiles were stochastically modelled using random load profile generator equations. Results indicated that the highest voltage increments occur when PV clusters are connected downstream of the network. PV clusters connected upstream of the network result in a uniform improvement of the voltage profile along the length of the main LV feeder. Higher penetration levels reduce the morning voltage dip and increase the afternoon voltage peak. Overvoltage was observed at 300% penetration for the test network that was used.","PeriodicalId":215514,"journal":{"name":"2020 International SAUPEC/RobMech/PRASA Conference","volume":"52 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116293111","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}
{"title":"Performance Evaluation of FACTS Placement Methods for Available Transfer Capability Enhancement in a Deregulated Power Networks","authors":"B. O. Adewolu, A. Saha","doi":"10.1109/SAUPEC/RobMech/PRASA48453.2020.9041146","DOIUrl":"https://doi.org/10.1109/SAUPEC/RobMech/PRASA48453.2020.9041146","url":null,"abstract":"This study investigates the performance of FACTS device based on different methods of placements for available transfer capability enhancement (ATC). Total real power loss, real power performance index, real power loss sensitivity with respect to line reactance, power transfer distribution factor (PTDF), line thermal limitation, available transfer capability (ATC) value, and least bus voltage magnitude are the placement methods considered. Each of these methods is used independently for location of Thyristor Controlled Series Compensator (TCSC) device for ATC enhancement. The study has been conducted on standard IEEE 30 bus test systems for comparison. The enhanced ATC values, bus voltage magnitudes and real power loss are then used in assessment of performance of TCSC with respect to locations. Disparities in enhancement ranges between 2% and 85% were achieved while real power loss minimization of up to 25% was obtained based on different placement methods.","PeriodicalId":215514,"journal":{"name":"2020 International SAUPEC/RobMech/PRASA Conference","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126496911","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}
{"title":"Overcurrent Protection Philosophy Using Microprocessor Based Relays For a South African Power Distribution Network","authors":"Ali N. Hasan, Linda Dlamini","doi":"10.1109/SAUPEC/RobMech/PRASA48453.2020.9041097","DOIUrl":"https://doi.org/10.1109/SAUPEC/RobMech/PRASA48453.2020.9041097","url":null,"abstract":"This paper investigates the application of the overcurrent protection function on a South African high voltage consumer network and addresses the shortcomings that arise with the application of electromechanical relays. These shortcomings are overcome when microprocessor based relays are applied due to their agility. Simulations were conducted, of what is likely to happen in a real network - single line to ground (SLG) fault that get misjudged by an overcurrent relay, leading to an incorrect relaying decision. An incorrect relaying decision leads to improper discrimination and loss of service to sections of the network that are otherwise not affected. The proposed microprocessor based relaying solution is devised, as presented in this paper, whereby the microprocessor relay is marshalled for reliable operation under SLG fault conditions and for sensitivity to the direction of power flow. The solution prevents possible mal-operation of protection and ensures accurate selectivity.","PeriodicalId":215514,"journal":{"name":"2020 International SAUPEC/RobMech/PRASA Conference","volume":"135 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127506025","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}
{"title":"Building Undirected Influence Ontologies Using Pairwise Similarity Functions","authors":"Tamlin Love, Ritesh Ajoodha","doi":"10.1109/SAUPEC/RobMech/PRASA48453.2020.9040984","DOIUrl":"https://doi.org/10.1109/SAUPEC/RobMech/PRASA48453.2020.9040984","url":null,"abstract":"The recovery of influence ontology structures is a useful tool within knowledge discovery, allowing for an easy and intuitive method of graphically representing the influences between concepts or variables within a system. The focus of this research is to develop a method by which undirected influence structures, here in the form of undirected Bayesian network skeletons, can be recovered from observations by means of some pairwise similarity function, either a statistical measure of correlation or some problem-specific measure. In this research, we present two algorithms to construct undirected influence structures from observations. The first makes use of a threshold value to filter out relations denoting weak influence, and the second constructs a maximum weighted spanning tree over the complete set of relations. In addition, we present a modification to the minimum graph edit distance (GED) [1], which we refer to as the modified scaled GED, in order to evaluate the performance of these algorithms in reconstructing known structures. We perform a number of experiments in reconstructing known Bayesian network structures, including a real-world medical network [2]. Our analysis shows that these algorithms outperform a random reconstruction (modified scaled GED ≈ 0.5), and can regularly achieve modified scaled GED scores better than 0.3 in sparse cases and 0.45 in dense cases. We argue that, while these methods cannot replace traditional Bayesian network structure-learning techniques, they are useful as computationally cheap data exploration tools and in knowledge discovery over structures which cannot be modelled as Bayesian networks.","PeriodicalId":215514,"journal":{"name":"2020 International SAUPEC/RobMech/PRASA Conference","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127609674","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}
{"title":"Removal of Nuisance Signals in Electric Grid Disturbance Data","authors":"R. Zivanovic","doi":"10.1109/SAUPEC/RobMech/PRASA48453.2020.9040953","DOIUrl":"https://doi.org/10.1109/SAUPEC/RobMech/PRASA48453.2020.9040953","url":null,"abstract":"An iterative algorithm for filtering out nuisance signals in recorded fault and disturbance data is presented. The intended application of the algorithm is removal of transient signal components (due to instrument transformers and network transient processes) as well as interharmonics in short-duration digital records of voltage and current signals. Output of the algorithm is a system frequency dynamic phasor which can be used in the automated disturbance data analysis in power systems. Commonly used, the Fourier transform based signal processing algorithms are not able to efficiently filter such components. Due to short lengths of recorded signals, frequency resolution of the Fourier transform based algorithms is not sufficient for this application. To demonstrate practicality and accuracy of the proposed algorithm several simulation experiments are devised and results are presented in the paper.","PeriodicalId":215514,"journal":{"name":"2020 International SAUPEC/RobMech/PRASA Conference","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127330750","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}
{"title":"Evaluation of Performance Index Methodology for Power Network Contingency Ranking","authors":"B. O. Adewolu, A. Saha","doi":"10.1109/SAUPEC/RobMech/PRASA48453.2020.9041137","DOIUrl":"https://doi.org/10.1109/SAUPEC/RobMech/PRASA48453.2020.9041137","url":null,"abstract":"Line outage contingency ranking and analyses using various Performance Index (PI) approaches are investigated in this study. Independent contingency rankings based on voltage, real power, reactive power, voltage fused with reactive power and real power amalgamated with voltage fused reactive power PI are the ranking methods used. Analyses of most severe contingencies resulting from different ranking methods are carried out and the behavioural patterns of the affected transmission lines investigated and validated. Newton Raphson power flow equations developed in Matlab environment are used for these analyses while IEEE 30 bus network is the test system. Line 28–27 outage which is the most severe contingency based on voltage PI ranking resulted into both line overloads and bus voltage limits violations, while outage of line 2–5 which is the most severe contingency consequent of real power PI ranking only resulted into line thermal limits violations.","PeriodicalId":215514,"journal":{"name":"2020 International SAUPEC/RobMech/PRASA Conference","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133650460","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}
{"title":"Towards Improving Human Arithmetic Learning using Machine Learning","authors":"Tessa Hall, H. Kamper","doi":"10.1109/SAUPEC/RobMech/PRASA48453.2020.9041140","DOIUrl":"https://doi.org/10.1109/SAUPEC/RobMech/PRASA48453.2020.9041140","url":null,"abstract":"Basic arithmetic is an essential skill that is used in almost all career paths in some way. Ensuring that young children have a solid foundation in simple mathematical concepts is a worldwide goal and new methods to improve arithmetic learning are constantly being developed. Our aim is to utilise machine learning to assist learners with developing their basic mathematics skills by identifying the types of problems a user struggles with and presenting them with targeted questions to improve in these areas. In this paper we focus only on the prediction component: given a set of arithmetic questions and corresponding answers, can we predict which future questions a user will answer incorrectly? The accuracy and suitability of four machine learning models are evaluated using data from computer-generated agents as well as human users. On simulated agents, our models achieve accuracies of around 79% to 96% with decision trees performing the best. On human data, our models achieve accuracies in the range of 63% to 69%, with the decision tree once again outperforming other approaches. We hope that these error predictions models could be incorporated into future E-learning systems targeted at human arithmetic learning.","PeriodicalId":215514,"journal":{"name":"2020 International SAUPEC/RobMech/PRASA Conference","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133685027","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}
{"title":"Optimization of reactive power under load uncertainty","authors":"O. Dzobo","doi":"10.1109/SAUPEC/RobMech/PRASA48453.2020.9040976","DOIUrl":"https://doi.org/10.1109/SAUPEC/RobMech/PRASA48453.2020.9040976","url":null,"abstract":"Reactive power demand in power system networks have a significant effect on energy efficiency in the grid. In locations where there are many industries which have a lot of motors running their production, the inductive power demand from the motors reduce the power factor and increase energy losses during transmission and also limits the real power supplied to the electricity consumer. The monitoring of reactive power in the power system network is difficult because of the challenge of estimating the network load at any given time. In this paper, a case study is presented using the IEEE test network to determine the effect of load uncertainty on reactive power. The uncertainty of the load is achieved by using the two point estimate method. Particle swarm optimization algorithm is used to solve the objective function. The results show that load uncertainty have a significant effect on estimation of reactive power in the system network.","PeriodicalId":215514,"journal":{"name":"2020 International SAUPEC/RobMech/PRASA Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130447011","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}
{"title":"Review of Control Strategies for Lithium-ion Battery Energy Storage Systems in Distribution Networks","authors":"J. Bierman, B. Bekker","doi":"10.1109/SAUPEC/RobMech/PRASA48453.2020.9041066","DOIUrl":"https://doi.org/10.1109/SAUPEC/RobMech/PRASA48453.2020.9041066","url":null,"abstract":"Increased adoption of distributed variable renewable energy (VRE) generation has created various challenges in maintaining a stable and reliable grid. Battery energy storage systems (BESS) can provide various services to assist utilities and system operators in managing the grid. This paper reviews literature on control strategies for Lithium-ion (Li-ion) BESS in distribution (Dx) networks, and identifies current research activities, trends, challenges and opportunities. The relevance of control strategies for BESS in the context of South Africa are presented. Furthermore, the paper serves as a starting point for the development of an operation framework that considers all the fundamental services that BESS can provide within various stakeholder and technical contexts.","PeriodicalId":215514,"journal":{"name":"2020 International SAUPEC/RobMech/PRASA Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128113125","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}
D. Withey, Katlego Mogokonyane, Mayur Tikam, Ross Holder, Mahalingam Veeraragoo, Mxolisi Gambushe
{"title":"Context-Aware Action with a Small Mobile Robot","authors":"D. Withey, Katlego Mogokonyane, Mayur Tikam, Ross Holder, Mahalingam Veeraragoo, Mxolisi Gambushe","doi":"10.1109/SAUPEC/RobMech/PRASA48453.2020.9041114","DOIUrl":"https://doi.org/10.1109/SAUPEC/RobMech/PRASA48453.2020.9041114","url":null,"abstract":"Simultaneous advances in mobile GPU computing and real-time object recognition now enable machines to make decisions and take actions based on the detection of objects of interest in the environment. An implementation of a mobile robot system that combines autonomous exploration and mapping capabilities with a real-time object recognition method based on a deep neural network running on a mobile GPU, is described. The system is able to detect objects of interest and then take real-time actions to interact with the objects, in this case, by moving to acquire inspection-style images of the object, from multiple angles. The robot system is small, self-contained and runs on battery power. The system shows the potential for the development of robotic systems with context awareness, permitting advanced autonomy.","PeriodicalId":215514,"journal":{"name":"2020 International SAUPEC/RobMech/PRASA Conference","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128126152","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}