Pub Date : 2017-11-01DOI: 10.1109/AUPEC.2017.8282492
Berhane Gebreslassie, A. Zayegh, Akhtar Kalam
Conventional buildings waste a huge quantity of energy and generate significant amount of Carbon Dioxide (CO2) — approximately 40% in the developed world and 33% elsewhere. Conventional buildings have been built for years without consideration being given to their impact on global warming. Since 1973, simulation of Green Building (GB) for energy efficiency started and many countries in particular the US showed a positive response to minimize the usage of energy in respect to reducing the CO2 emission. The last decade has witnessed rapid growing number of researches on GB energy efficiency system. However, studies indicate that the results of current GB simulations are not satisfactory to meet its objectives. In addition, to that, GB is an expensive investment compared to conventional building. The purpose of this research is to design and model Intelligent Green Building (IGB) that almost satisfies the objectives of IGB by using appropriate modern cost-effective technology like Actuator Sensor Interface (ASI) known AS-Interface. This method reduces the initial, running, and maintenance costs of electrical/electronic devices and limit wiring installations with significant amount of reduction ∼ 50%. In this paper the objectives and scope of IGB has been briefly discussed to demonstrate this research works complies within the economical and cost-effective design.
{"title":"Design, modeling of an intelligent green building using, actuator sensor interface network protocol","authors":"Berhane Gebreslassie, A. Zayegh, Akhtar Kalam","doi":"10.1109/AUPEC.2017.8282492","DOIUrl":"https://doi.org/10.1109/AUPEC.2017.8282492","url":null,"abstract":"Conventional buildings waste a huge quantity of energy and generate significant amount of Carbon Dioxide (CO2) — approximately 40% in the developed world and 33% elsewhere. Conventional buildings have been built for years without consideration being given to their impact on global warming. Since 1973, simulation of Green Building (GB) for energy efficiency started and many countries in particular the US showed a positive response to minimize the usage of energy in respect to reducing the CO2 emission. The last decade has witnessed rapid growing number of researches on GB energy efficiency system. However, studies indicate that the results of current GB simulations are not satisfactory to meet its objectives. In addition, to that, GB is an expensive investment compared to conventional building. The purpose of this research is to design and model Intelligent Green Building (IGB) that almost satisfies the objectives of IGB by using appropriate modern cost-effective technology like Actuator Sensor Interface (ASI) known AS-Interface. This method reduces the initial, running, and maintenance costs of electrical/electronic devices and limit wiring installations with significant amount of reduction ∼ 50%. In this paper the objectives and scope of IGB has been briefly discussed to demonstrate this research works complies within the economical and cost-effective design.","PeriodicalId":155608,"journal":{"name":"2017 Australasian Universities Power Engineering Conference (AUPEC)","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130212384","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}
Pub Date : 2017-11-01DOI: 10.1109/AUPEC.2017.8282401
Shantanu Kumar, N. Das, S. Islam
In a modern power system network having multiple interconnected High Voltage (HV) substations, communication amongst Intelligent Electronic Devices (IED) becomes an important feature in an automation system. Time critical information, such as feeder faults, overcurrent, under frequency messages between multiple geographically isolated substations have opened up number of issues related to reliability in protection, automation and control. There are problems related to latency, data loss and transfer of Sampled Value (SV) packets transmitted to these inter-connected substations on radio wireless and Ethernet mode linked up in a Wide Area Network (WAN) configuration. Few other key area of concerns in a digital protection scheme are packet losses, errors in packet arrival at destination, latency in transmission, End to End delay in packet transfer due to flooding of the network, out of sequence packet arrival etc. Error prone packets could seriously compromise the protection scheme and endanger the safety of primary plant assets in a transmission substation. This paper investigates performance of SV packet transmission between two interconnected substations]. Practical simulations were performed to evaluate the performance of SV packets in a laboratory set up to assess the performance of digital protection scheme based on Parallel Redundancy Protocol (PRP) topology involving digital equipment such as Merger Units (MUs), switches, IEDs and Redundant boxes (Red box), etc.
{"title":"Performance evaluation of two interconnected high voltage utility substations using PRP topology based on IEC 62439-3","authors":"Shantanu Kumar, N. Das, S. Islam","doi":"10.1109/AUPEC.2017.8282401","DOIUrl":"https://doi.org/10.1109/AUPEC.2017.8282401","url":null,"abstract":"In a modern power system network having multiple interconnected High Voltage (HV) substations, communication amongst Intelligent Electronic Devices (IED) becomes an important feature in an automation system. Time critical information, such as feeder faults, overcurrent, under frequency messages between multiple geographically isolated substations have opened up number of issues related to reliability in protection, automation and control. There are problems related to latency, data loss and transfer of Sampled Value (SV) packets transmitted to these inter-connected substations on radio wireless and Ethernet mode linked up in a Wide Area Network (WAN) configuration. Few other key area of concerns in a digital protection scheme are packet losses, errors in packet arrival at destination, latency in transmission, End to End delay in packet transfer due to flooding of the network, out of sequence packet arrival etc. Error prone packets could seriously compromise the protection scheme and endanger the safety of primary plant assets in a transmission substation. This paper investigates performance of SV packet transmission between two interconnected substations]. Practical simulations were performed to evaluate the performance of SV packets in a laboratory set up to assess the performance of digital protection scheme based on Parallel Redundancy Protocol (PRP) topology involving digital equipment such as Merger Units (MUs), switches, IEDs and Redundant boxes (Red box), etc.","PeriodicalId":155608,"journal":{"name":"2017 Australasian Universities Power Engineering Conference (AUPEC)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131655280","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}
Pub Date : 2017-11-01DOI: 10.1109/AUPEC.2017.8282471
Zhenning Jiang, G. Konstantinou, Z. Zhong, P. Acuña
This paper presents the development of a laboratory test-bench for research and teaching on power electronics for solar PV system integration based on a real-time digital simulation (RTS) platform. The test-bench allows flexible and rapid development through hardware-in-the-loop simulations. Importantly, it allows the wide range of PV system aspects, including maximum power point tracking (MPPT) and dc/dc converter control algorithms for a variety of dc/dc converter topologies and control hardware platforms as well as external interfaces for solar irradiance and temperature measurements to be evaluated. Two example scenarios are presented to demonstrate how the test-bench can be used to facilitate hands-on experimentation on standard control platforms and how it can be used to support and enhance research as well as learning and teaching objectives.
{"title":"Real-time digital simulation based laboratory test-bench development for research and education on solar pv systems","authors":"Zhenning Jiang, G. Konstantinou, Z. Zhong, P. Acuña","doi":"10.1109/AUPEC.2017.8282471","DOIUrl":"https://doi.org/10.1109/AUPEC.2017.8282471","url":null,"abstract":"This paper presents the development of a laboratory test-bench for research and teaching on power electronics for solar PV system integration based on a real-time digital simulation (RTS) platform. The test-bench allows flexible and rapid development through hardware-in-the-loop simulations. Importantly, it allows the wide range of PV system aspects, including maximum power point tracking (MPPT) and dc/dc converter control algorithms for a variety of dc/dc converter topologies and control hardware platforms as well as external interfaces for solar irradiance and temperature measurements to be evaluated. Two example scenarios are presented to demonstrate how the test-bench can be used to facilitate hands-on experimentation on standard control platforms and how it can be used to support and enhance research as well as learning and teaching objectives.","PeriodicalId":155608,"journal":{"name":"2017 Australasian Universities Power Engineering Conference (AUPEC)","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133775195","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}
Pub Date : 2017-11-01DOI: 10.1109/AUPEC.2017.8282478
Weicong Kong, Z. Dong, F. Luo, K. Meng, Wang Zhang, Fan Wang, Xiang Zhao
Short-term residential load forecasting is becoming increasingly important as we are advancing to an era where the penetration of renewable energy keeps increasing and will become ubiquitous in our day-to-day energy consumption. In this future grid scenario, individual load forecasting is more critical than load forecasting on system level because many renewable energy sources (RESs) are generally distributed, and it is most efficient to consume the renewable generation at the sites of energy production. Despite there have been many works in short-term load forecasting (STLF), few of them target the problem on the end-use level. Also, deep learning has started to be proposed in STLF, but the common problem for deep learning, the selection of many hyperparameters, is rarely discussed. In this paper, we extend a deep long short-term memory (LSTM) based load forecasting framework with automatic hyperparameter tuning to address the STLF problem for the highly volatile residential load. A tree-structured Parzen estimator based hyper-parameter tuning method is integrated into the STLF framework to efficiently find the best set of hyper-parameters for better forecasting performance.
{"title":"Effect of automatic hyperparameter tuning for residential load forecasting via deep learning","authors":"Weicong Kong, Z. Dong, F. Luo, K. Meng, Wang Zhang, Fan Wang, Xiang Zhao","doi":"10.1109/AUPEC.2017.8282478","DOIUrl":"https://doi.org/10.1109/AUPEC.2017.8282478","url":null,"abstract":"Short-term residential load forecasting is becoming increasingly important as we are advancing to an era where the penetration of renewable energy keeps increasing and will become ubiquitous in our day-to-day energy consumption. In this future grid scenario, individual load forecasting is more critical than load forecasting on system level because many renewable energy sources (RESs) are generally distributed, and it is most efficient to consume the renewable generation at the sites of energy production. Despite there have been many works in short-term load forecasting (STLF), few of them target the problem on the end-use level. Also, deep learning has started to be proposed in STLF, but the common problem for deep learning, the selection of many hyperparameters, is rarely discussed. In this paper, we extend a deep long short-term memory (LSTM) based load forecasting framework with automatic hyperparameter tuning to address the STLF problem for the highly volatile residential load. A tree-structured Parzen estimator based hyper-parameter tuning method is integrated into the STLF framework to efficiently find the best set of hyper-parameters for better forecasting performance.","PeriodicalId":155608,"journal":{"name":"2017 Australasian Universities Power Engineering Conference (AUPEC)","volume":"125 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114519861","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}
Pub Date : 2017-11-01DOI: 10.1109/AUPEC.2017.8282456
D. P. Gomes, C. Ozansoy, A. Ulhaq
High Impedance Faults (HIFs) are extensively addressed in the literature due to their safety hazards and fire risks. The consequent small amplitude of fault currents makes it a challenging disturbance to be detected. Vegetation faults are a special case since even very low and brief fault currents can result in fire igniting embers. Such relevance led to the creation of the ‘Vegetation Ignition Testing Program’, a fault experiment program funded by the Victorian Government in response to a series of fires created by faulty electric assets in Australia. This paper aims to illustrate novel features found in the high-frequency voltage signals of the resulted dataset. Performed in a real functioning network, the tests resulted in pertinent findings. They can support future development of HIF detection methods, highlighting the importance of a reliable, fine-tuned, and secure detection method for fire risk mitigation.
{"title":"High-frequency spectral analysis of high impedance vegetation faults on a three-wire system","authors":"D. P. Gomes, C. Ozansoy, A. Ulhaq","doi":"10.1109/AUPEC.2017.8282456","DOIUrl":"https://doi.org/10.1109/AUPEC.2017.8282456","url":null,"abstract":"High Impedance Faults (HIFs) are extensively addressed in the literature due to their safety hazards and fire risks. The consequent small amplitude of fault currents makes it a challenging disturbance to be detected. Vegetation faults are a special case since even very low and brief fault currents can result in fire igniting embers. Such relevance led to the creation of the ‘Vegetation Ignition Testing Program’, a fault experiment program funded by the Victorian Government in response to a series of fires created by faulty electric assets in Australia. This paper aims to illustrate novel features found in the high-frequency voltage signals of the resulted dataset. Performed in a real functioning network, the tests resulted in pertinent findings. They can support future development of HIF detection methods, highlighting the importance of a reliable, fine-tuned, and secure detection method for fire risk mitigation.","PeriodicalId":155608,"journal":{"name":"2017 Australasian Universities Power Engineering Conference (AUPEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116306074","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}
Pub Date : 2017-11-01DOI: 10.1109/AUPEC.2017.8282459
A. Ghayur, V. Verheyen
Climate Change mitigation by adopting renewable energies and the depleting gas reservoirs of Australia's Gippsland Basin have introduced insecurity in the Australian energy sector. Urgent measures are needed to avoid future grid failures. This study proposes underground storage of bio-methane (CH4) to meet peak and backup power demands. The depleted gas reservoirs and coal seams of Gippsland are candidates for such a storage. In this study, a facility converting waste biomass into methane and storing it in depleted gas reservoir for meeting peak/backup electricity demand is modelled and simulated. In the model, 200 t/d of biomass is anaerobically digested into methane. Despite this practicable yet relatively small scale when combined with storage, the facility generates 14,000 t (20 million m3) of methane per year, enough to generate over 80,000 MWh of electricity on demand via fuel cells. These results demonstrate the potential for bio-renewables contributing to large scale power demand.
{"title":"Renewable methane storage in Gippsland for peak and backup power","authors":"A. Ghayur, V. Verheyen","doi":"10.1109/AUPEC.2017.8282459","DOIUrl":"https://doi.org/10.1109/AUPEC.2017.8282459","url":null,"abstract":"Climate Change mitigation by adopting renewable energies and the depleting gas reservoirs of Australia's Gippsland Basin have introduced insecurity in the Australian energy sector. Urgent measures are needed to avoid future grid failures. This study proposes underground storage of bio-methane (CH4) to meet peak and backup power demands. The depleted gas reservoirs and coal seams of Gippsland are candidates for such a storage. In this study, a facility converting waste biomass into methane and storing it in depleted gas reservoir for meeting peak/backup electricity demand is modelled and simulated. In the model, 200 t/d of biomass is anaerobically digested into methane. Despite this practicable yet relatively small scale when combined with storage, the facility generates 14,000 t (20 million m3) of methane per year, enough to generate over 80,000 MWh of electricity on demand via fuel cells. These results demonstrate the potential for bio-renewables contributing to large scale power demand.","PeriodicalId":155608,"journal":{"name":"2017 Australasian Universities Power Engineering Conference (AUPEC)","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117198873","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}
Pub Date : 2017-11-01DOI: 10.1109/AUPEC.2017.8282514
Farhad Shahnia, Hadi Hosseinian Yengejeh
This paper presents a survey on the activities carried out during tutorial sessions at two Australian universities to improve the learning experience of electrical engineering undergraduate students in the power electronics unit. The unit is conducted based on lectures, tutorials, and computer-based laboratories. In the academic year of 2014, to improve the learning experience of students, different types of tutorial sessions were developed aiming at improving the students' expertise in designing and troubleshooting power electronics-based circuits and converters, as well as obtaining information from datasheet, catalogues and articles. This paper discusses the students' satisfaction from each of these types of tutorial sessions over the last 4 years.
{"title":"Enhancing the learning experience in the power electronic unit by different tutorial activities","authors":"Farhad Shahnia, Hadi Hosseinian Yengejeh","doi":"10.1109/AUPEC.2017.8282514","DOIUrl":"https://doi.org/10.1109/AUPEC.2017.8282514","url":null,"abstract":"This paper presents a survey on the activities carried out during tutorial sessions at two Australian universities to improve the learning experience of electrical engineering undergraduate students in the power electronics unit. The unit is conducted based on lectures, tutorials, and computer-based laboratories. In the academic year of 2014, to improve the learning experience of students, different types of tutorial sessions were developed aiming at improving the students' expertise in designing and troubleshooting power electronics-based circuits and converters, as well as obtaining information from datasheet, catalogues and articles. This paper discusses the students' satisfaction from each of these types of tutorial sessions over the last 4 years.","PeriodicalId":155608,"journal":{"name":"2017 Australasian Universities Power Engineering Conference (AUPEC)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124057131","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}
Pub Date : 2017-11-01DOI: 10.1109/AUPEC.2017.8282470
M. Khorasany, Yateendra Mishra, G. Ledwich
This paper proposes a Transactive Energy Market (TEM) platform for Peer-to-Peer (P2P) energy trading among prosumers and consumers in the Transactive environment. Prosumers with excess energy participate in the market as seller and consumers play a buyer role and communicate with each other to maximize their welfare, which is the difference between their benefit and cost. The proposed platform is an hour-ahead market, where market subscribers join to trade energy for the next hour. Market clearing is performed using auction approach and a double auction with average mechanism is applied to determine allocation and price of energy. In this platform, market subscribers pay a Subscription Charge (SC) for utilizing the distribution network and this charge is used as a price signal to reduce the possibility of overload in the network's lines. Power Transfer Distributed Factor (PTDF) is used to calculate SC by incorporating network topology and the distributed nature of prosumers and consumers. Simulation results on a simple IEEE 13 node distribution network with 10 subscribers (5 buyers and 5 sellers) demonstrate the efficacy of the proposed TEM platform and market clearing mechanism.
{"title":"Auction based energy trading in transactive energy market with active participation of prosumers and consumers","authors":"M. Khorasany, Yateendra Mishra, G. Ledwich","doi":"10.1109/AUPEC.2017.8282470","DOIUrl":"https://doi.org/10.1109/AUPEC.2017.8282470","url":null,"abstract":"This paper proposes a Transactive Energy Market (TEM) platform for Peer-to-Peer (P2P) energy trading among prosumers and consumers in the Transactive environment. Prosumers with excess energy participate in the market as seller and consumers play a buyer role and communicate with each other to maximize their welfare, which is the difference between their benefit and cost. The proposed platform is an hour-ahead market, where market subscribers join to trade energy for the next hour. Market clearing is performed using auction approach and a double auction with average mechanism is applied to determine allocation and price of energy. In this platform, market subscribers pay a Subscription Charge (SC) for utilizing the distribution network and this charge is used as a price signal to reduce the possibility of overload in the network's lines. Power Transfer Distributed Factor (PTDF) is used to calculate SC by incorporating network topology and the distributed nature of prosumers and consumers. Simulation results on a simple IEEE 13 node distribution network with 10 subscribers (5 buyers and 5 sellers) demonstrate the efficacy of the proposed TEM platform and market clearing mechanism.","PeriodicalId":155608,"journal":{"name":"2017 Australasian Universities Power Engineering Conference (AUPEC)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129411071","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}
Pub Date : 2017-11-01DOI: 10.1109/AUPEC.2017.8282435
K. Alam, D. Xiao, D. Zhang, M. F. Rahman
This paper proposes a simplified finite control set model predictive control (FCS-MPC) with extended voltage vectors for two-level three-phase grid-connected converters. The proposed algorithm uses thirty-eight voltage vectors (eight real voltage vectors and thirty virtual voltage vectors) for the prediction process to reduce the ripple in the grid current. However, the inclusion of such high number of voltage vectors can introduce unacceptable computation delay which can affect the control performances. To solve this issue, the proposed approach utilizes a pre-selection scheme along with a simplified model predictive control approach, which can limit the prediction process to only twelve of the thirty eight voltage vectors during a sampling interval. Simulation results from Matlab-Simulink environment show that the proposed method retains the effectiveness of the full thirty-eight voltage-vector approach, while the current ripple is not adversely affected and the computation delay is accordingly reduced.
{"title":"Simplified finite control set model predictive control (FCS-MPC) with extended voltage vectors for grid connected converters","authors":"K. Alam, D. Xiao, D. Zhang, M. F. Rahman","doi":"10.1109/AUPEC.2017.8282435","DOIUrl":"https://doi.org/10.1109/AUPEC.2017.8282435","url":null,"abstract":"This paper proposes a simplified finite control set model predictive control (FCS-MPC) with extended voltage vectors for two-level three-phase grid-connected converters. The proposed algorithm uses thirty-eight voltage vectors (eight real voltage vectors and thirty virtual voltage vectors) for the prediction process to reduce the ripple in the grid current. However, the inclusion of such high number of voltage vectors can introduce unacceptable computation delay which can affect the control performances. To solve this issue, the proposed approach utilizes a pre-selection scheme along with a simplified model predictive control approach, which can limit the prediction process to only twelve of the thirty eight voltage vectors during a sampling interval. Simulation results from Matlab-Simulink environment show that the proposed method retains the effectiveness of the full thirty-eight voltage-vector approach, while the current ripple is not adversely affected and the computation delay is accordingly reduced.","PeriodicalId":155608,"journal":{"name":"2017 Australasian Universities Power Engineering Conference (AUPEC)","volume":"44 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129778608","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}
Pub Date : 2017-11-01DOI: 10.1109/AUPEC.2017.8282384
G. Shafiullah, Bond Watson, C. Lund, Moktadir Rahman
Optimising voltage levels to a controlled stable level at a facility can not only reduce the cost of energy but also enhance equipment performance, prolong equipment life, reduces maintenance costs and reduce greenhouse gas emissions. Voltage optimisation (VO) technology has been widely used in a number of different industries locally and internationally but not yet to a large extent within the red meat processing sector in Australia to optimise the network voltage levels. Therefore, to determine whether VO can be implemented, and whether it is technically and economically viable for red meat processing sites, this study investigates the effectiveness of VO technology in an Australian abattoir through extensive case studies. The investigation explores the most suitable VO technology considering the implications for the plant and equipment under operation at a typical red meat processing plant by using the published literature and through rigorous analysis based on a case study at the meat processing site in Western Australia. From the case study analysis, it is evident that power quality issues such as under voltage, overvoltage, and harmonic distortion can be reduced as well as significant energy savings can be achieved with the optimum selection of voltage level and VO technology.
{"title":"Voltage optimisation technology for an Australian abattoir to reduce power quality impacts and increase energy savings","authors":"G. Shafiullah, Bond Watson, C. Lund, Moktadir Rahman","doi":"10.1109/AUPEC.2017.8282384","DOIUrl":"https://doi.org/10.1109/AUPEC.2017.8282384","url":null,"abstract":"Optimising voltage levels to a controlled stable level at a facility can not only reduce the cost of energy but also enhance equipment performance, prolong equipment life, reduces maintenance costs and reduce greenhouse gas emissions. Voltage optimisation (VO) technology has been widely used in a number of different industries locally and internationally but not yet to a large extent within the red meat processing sector in Australia to optimise the network voltage levels. Therefore, to determine whether VO can be implemented, and whether it is technically and economically viable for red meat processing sites, this study investigates the effectiveness of VO technology in an Australian abattoir through extensive case studies. The investigation explores the most suitable VO technology considering the implications for the plant and equipment under operation at a typical red meat processing plant by using the published literature and through rigorous analysis based on a case study at the meat processing site in Western Australia. From the case study analysis, it is evident that power quality issues such as under voltage, overvoltage, and harmonic distortion can be reduced as well as significant energy savings can be achieved with the optimum selection of voltage level and VO technology.","PeriodicalId":155608,"journal":{"name":"2017 Australasian Universities Power Engineering Conference (AUPEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132516274","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}
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