{"title":"Negative Sequence-Based Schemes for Power System Protection - Review and Challenges","authors":"S. Al-sachit, M. Sanjari, N. Nair","doi":"10.1109/AUPEC.2018.8758012","DOIUrl":"https://doi.org/10.1109/AUPEC.2018.8758012","url":null,"abstract":"This paper presents a review of the negative sequence-based protection relays development and their applications on electrical power networks and discusses the related challenges. Recent power system requires selective, reliable, rapid fault detection and clearance mechanisms especially for the transmission line networks, which are highly exposed to environmental incidents. Most of the negative sequence protection techniques and recent challenges are discussed in this paper.","PeriodicalId":314530,"journal":{"name":"2018 Australasian Universities Power Engineering Conference (AUPEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125916767","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}
Dilini Darmawardana, S. Perera, D. Robinson, Jan Meyer, M. Klatt, U. Jayatunga
{"title":"A Digital Zero-Phase Filter for Measuring High Frequency Emissions (Supraharmonics) in Electrical Distribution Networks","authors":"Dilini Darmawardana, S. Perera, D. Robinson, Jan Meyer, M. Klatt, U. Jayatunga","doi":"10.1109/AUPEC.2018.8757988","DOIUrl":"https://doi.org/10.1109/AUPEC.2018.8757988","url":null,"abstract":"With the high penetration of power electronic interfaces and the increased use of power line carrier communication, high frequency (HF) emissions (supraharmonics) in the range of 2–150 kHz are emerging as a new power quality issue in distribution networks. Both IEC 61000-4-7 and IEC 61000-4-30 recommend the use of a high pass (HP) filter during measurement/analysis of these emissions. However, the filters used so far in HF measurements have non-linear phase characteristics making phase details unsuitable for further analysis. As a solution, this paper proposes a digital, offline, zero-phase HP filter having near ideal magnitude characteristics and a zero phase response.","PeriodicalId":314530,"journal":{"name":"2018 Australasian Universities Power Engineering Conference (AUPEC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116156397","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":"Investigating the Factors Affecting State Estimation of Emerging Distribution Grids","authors":"S. Dahal, S. Paudyal, Jingyuan Wang","doi":"10.1109/AUPEC.2018.8758054","DOIUrl":"https://doi.org/10.1109/AUPEC.2018.8758054","url":null,"abstract":"This paper first presents a brief review of existing computation techniques and challenges in distribution system state estimation. Then, the impacts of measurement points, network configuration, load model, distributed generation, real-time measurement data, and computational parameters on the state estimation of distribution grids are investigated. Simulations are carried out on an example utility distribution network which is fed by a large high voltage transmission network at multiple points. The results show that greater observability of downstream distribution network enhances accurate estimation of network states. Similarly, load models and distributed generations have significant impact on state estimation. The results also show that the accuracy of state estimation depends on the choice of computational parameters.","PeriodicalId":314530,"journal":{"name":"2018 Australasian Universities Power Engineering Conference (AUPEC)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131582306","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":"Electric Vehicles Charging: Review of Current Status","authors":"M. Zamani, M. Nagrial, J. Rizk, A. Hellany","doi":"10.1109/AUPEC.2018.8758045","DOIUrl":"https://doi.org/10.1109/AUPEC.2018.8758045","url":null,"abstract":"Electric Vehicles (EVs) will be the next generation in transport. The main reason is the possibility of consuming energy from wide range including fossil and renewable energy sources. Fossil fuel-powered vehicles do not have this privilege. One of the major obstacles for development of EVs is reliable charging infrastructure. This paper describes the current progress in EV charging levels, methods, and topologies of charging stations. Contactless charging as a safe and user friendly approach for charging EVs has been discussed. The influence on the distribution grid in peak hours analyzed. Finally, Hybrid Energy Storage System (HESS) using solar energy is introduced. Multiple energy sources and storage systems to reduce the stress on the grid has been proposed.","PeriodicalId":314530,"journal":{"name":"2018 Australasian Universities Power Engineering Conference (AUPEC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115606088","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":"Optimum Energy Cooperation among Renewable Powered Base Stations","authors":"Sarika Pawar, S. Islam, Apel Mahmud, A. Oo","doi":"10.1109/AUPEC.2018.8757922","DOIUrl":"https://doi.org/10.1109/AUPEC.2018.8757922","url":null,"abstract":"In this paper, an optimum energy cooperation among renewable powered base stations (BSs) is investigated to minimize the mismatch between energy generation and demand in the overall network. This mismatch often results from intermittent renewable power generation and randomness in cellular demand. Thus, at a certain time, some BSs can have excess energy, whereas others can have energy deficit. The solution approach considered in this paper allows each BS to minimize the energy mismatch using its own generation at first. If there are some residual energy mismatches, the BSs forward this information to an aggregator, which collects the energy generation/consumption information from all BSs and optimizes the energy sharing to minimize the energy mismatch in the overall network. The numerical results demonstrate that the energy mismatch will be less for lower noise power, since the power requirement for cellular and smart grid communication will be less. The results also show that the energy cooperation among BSs can reduce the energy mismatch to 0 for up to 21 hours within 48 hours, thus significantly reducing the energy consumption from diesel generators.","PeriodicalId":314530,"journal":{"name":"2018 Australasian Universities Power Engineering Conference (AUPEC)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114380520","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":"Artificial Neural Network Techniques apply for Fault detecting and Locating in Overhead Power Transmission Line","authors":"P. S. Pouabe Eboule, J. Pretorius, N. Mbuli","doi":"10.1109/AUPEC.2018.8757959","DOIUrl":"https://doi.org/10.1109/AUPEC.2018.8757959","url":null,"abstract":"The study carried out here in this paper presents the application of artificial intelligence techniques to detect, classify and locate faults on power transmission line very high voltage. This paper compares the results of the techniques call Multi- Layers Perceptron (MLP) and Concurrent Neuro-Fuzzy used to detect, classify and locate the faults on two different very high voltage electrical lines of 735 kV line voltage, 600 km long for the first line and a second line of 400 kV, 120 km long. The advantages of these techniques used are that they permit to increase the level of reliability of a power line, to limit the lost time in the search for the defects when they occur and then to favorize a continuity of service so much sought by companies sign of economic prosperity.","PeriodicalId":314530,"journal":{"name":"2018 Australasian Universities Power Engineering Conference (AUPEC)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116676626","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}
Soheil Mohseni, A. Brent, Daniel Burmester, Abhi Chatterjee
{"title":"Optimal Sizing of an Islanded Micro-Grid Using Meta-Heuristic Optimization Algorithms Considering Demand-Side Management","authors":"Soheil Mohseni, A. Brent, Daniel Burmester, Abhi Chatterjee","doi":"10.1109/AUPEC.2018.8757882","DOIUrl":"https://doi.org/10.1109/AUPEC.2018.8757882","url":null,"abstract":"This paper proposes a novel modeling approach for optimal sizing of the components of an islanded micro-grid subject to satisfying a reliability index for meeting the loads. The proposed micro-grid incorporates photovoltaic arrays, wind turbines, a battery bank, an inverter, and an electric vehicle (EV) charging station. A demand-side management mechanism based on a deferrable load program is implemented and a model reduction technique is also utilized to mitigate the computational cost. Three different optimization algorithms, namely the whale optimization algorithm (WOA), particle swarm optimization (PSO), and the genetic algorithm (GA) are considered in this study to minimize the total cost of the system. The simulation studies have shown that although the WOA reduces the computational burden and requires much lower iterations compared with PSO and GA, it converges to sub-optimal solutions; therefore, it is not a good option for micro-grid planning purposes. Moreover, the results demonstrate that by charging coordination of EVs and deferring a pre-determined portion of the residential loads, overloading can be avoided and available components can be utilized better, which in turn reduces the sizes of the components and total cost of the system.","PeriodicalId":314530,"journal":{"name":"2018 Australasian Universities Power Engineering Conference (AUPEC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121699333","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}
Michael Jurasovic, E. Franklin, M. Negnevitsky, P. Scott
{"title":"Day Ahead Load Forecasting for the Modern Distribution Network - A Tasmanian Case Study","authors":"Michael Jurasovic, E. Franklin, M. Negnevitsky, P. Scott","doi":"10.1109/AUPEC.2018.8758023","DOIUrl":"https://doi.org/10.1109/AUPEC.2018.8758023","url":null,"abstract":"Penetration of distributed energy resources in distribution networks is predicted to increase dramatically in the next seven years, bringing with it the opportunity for utilities to have a greater presence at low levels of the network. To achieve this effectively, utilities will require accurate short term load forecasts. This paper presents a novel neural network-based load forecasting system that applies recent advances in neural attention mechanisms. The forecasting system is trained and assessed on ten years of historical half-hourly load, weather, and calendar data to produce a 24-hour horizon half-hourly online forecast. When forecasting during anomalous peak holiday periods on a feeder that has a typical load of less than 1000kVA the forecasting system achieves a MAPE of 7.4% and a mean error of −15kVA. The forecasting system is implemented in a residential battery trial and is able to successfully forecast major peaks with sufficient lead time and accuracy to enable the fleet of batteries to charge ahead of time and provide network support.","PeriodicalId":314530,"journal":{"name":"2018 Australasian Universities Power Engineering Conference (AUPEC)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125545714","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":"Impact of Supply Voltage Variation on the Power Quality and Consumption of CFL and LED Lamps","authors":"Muhammad Usman, M. Rahman, Farhad Shahnia","doi":"10.1109/AUPEC.2018.8757899","DOIUrl":"https://doi.org/10.1109/AUPEC.2018.8757899","url":null,"abstract":"Lighting load is one of the major loads of the electricity sector. Different types of lamps are used by the residential consumers, such as the conventional incandescent lamps, as well as the energy efficient compact fluorescent lamps (CFLs) and light-emitting diodes (LEDs). In comparison with incandescent lamps, CFLs and LEDs are attractive because of their better luminous efficacy. However, they are non-linear and power electronics-based loads, which inject harmonic currents and draw reactive power. On the other hand, the low voltage distribution networks observe significant voltage variations such as voltage drop specifically in the network peak period that coincides with the turning on time of the lighting loads. Also, the network utilities of remote and developing countries sometimes reduce the voltage at the network peak periods deliberately, to reduce the overall consumption and outages, initiated by the peak load. This paper aims to analyze the characteristics of energy-efficient lamps during such conditions. Laboratory-based experiments are conducted to derive a general conclusion on the injected harmonics, THD, power factor and overall power consumption of these lamps.","PeriodicalId":314530,"journal":{"name":"2018 Australasian Universities Power Engineering Conference (AUPEC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129815596","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":"Mitigation of Sympathetic Tripping Leveraging on IEC 61850 Protocol","authors":"Shantanu Kumar, N. Das, S. Islam","doi":"10.1109/AUPEC.2018.8758053","DOIUrl":"https://doi.org/10.1109/AUPEC.2018.8758053","url":null,"abstract":"Intelligent Electronic Devices (IEDs) diagnose faults and traffic issues of data packets in a reliable and efficient manner in a substation environment. These devices determine abnormal system condition, wide area disturbances offering greater flexibility to the operator in terms of condition monitoring and diagnostics. In a distribution system, end user get multiple faults in the network and one such nuisance disruption of power on a faulty feeder results in sympathetic tripping. Sympathetic tripping occurs during high load conditions causing entire protection system to spuriously trip due to an out of section fault. Occurrence of such faults could be attributed to load unbalance in the distribution feeders, delayed voltage recovery conditions, voltage swell/sag in the feeders etc. Usually, this phenomenon occur when loads containing low inertia rotating equipment are connected to distribution feeders. In this paper, an Optimized Network Engineering Tool (OPNET) is used to simulate, mitigate faults attributed to Sympathetic Tripping in a laboratory environment.","PeriodicalId":314530,"journal":{"name":"2018 Australasian Universities Power Engineering Conference (AUPEC)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129816150","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}