Pub Date : 2017-11-01DOI: 10.1109/AUPEC.2017.8282446
Jiahui Jiang, C. Coates
Microgrids provide an effective way to integrate distributed energy sources, particularly renewable energy sources, into the power system. Renewable energy sources differ from traditional microsources as their generation is variable depending on weather conditions. To achieve the highest renewable energy utilisation, photovoltaic (PV) panels tend to be operated at their maximum power point which also forms the boundary for stable operation. In this arrangement the DC bus voltage can collapse should the PV panels be overloaded. In an islanded microgrid, a droop controller is adopted to limit reactive power as well as distribute real power demand amongst the microsources. This paper proposes a modification to the droop controller to ensure a PV source remains within its maximum power limit. Simulation results are presented to demonstrate the controller's effectiveness.
{"title":"Voltage collapse issue in a photovoltaic source operating in an islanded microgrid","authors":"Jiahui Jiang, C. Coates","doi":"10.1109/AUPEC.2017.8282446","DOIUrl":"https://doi.org/10.1109/AUPEC.2017.8282446","url":null,"abstract":"Microgrids provide an effective way to integrate distributed energy sources, particularly renewable energy sources, into the power system. Renewable energy sources differ from traditional microsources as their generation is variable depending on weather conditions. To achieve the highest renewable energy utilisation, photovoltaic (PV) panels tend to be operated at their maximum power point which also forms the boundary for stable operation. In this arrangement the DC bus voltage can collapse should the PV panels be overloaded. In an islanded microgrid, a droop controller is adopted to limit reactive power as well as distribute real power demand amongst the microsources. This paper proposes a modification to the droop controller to ensure a PV source remains within its maximum power limit. Simulation results are presented to demonstrate the controller's effectiveness.","PeriodicalId":155608,"journal":{"name":"2017 Australasian Universities Power Engineering Conference (AUPEC)","volume":"31 5 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":"116635607","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.2017.8282512
Julius Susanto, Farhad Shahnia, A. Arefi
This paper investigates how network characteristics and topologies can affect the small signal stability of a converter-dominated microgrid. A Monte Carlo analysis is conducted in which randomly generated microgrids are created from three basic topologies of radial, ring and triangular mesh, and then assessed for small signal stability. The studies illustrate that simple un-meshed microgrid topologies and decoupling of adjacent converters via higher impedance filters or lines improve the stability margins of the microgrid.
{"title":"Effects of network characteristics and topology on the stability of converter-dominated microgrids","authors":"Julius Susanto, Farhad Shahnia, A. Arefi","doi":"10.1109/AUPEC.2017.8282512","DOIUrl":"https://doi.org/10.1109/AUPEC.2017.8282512","url":null,"abstract":"This paper investigates how network characteristics and topologies can affect the small signal stability of a converter-dominated microgrid. A Monte Carlo analysis is conducted in which randomly generated microgrids are created from three basic topologies of radial, ring and triangular mesh, and then assessed for small signal stability. The studies illustrate that simple un-meshed microgrid topologies and decoupling of adjacent converters via higher impedance filters or lines improve the stability margins of the microgrid.","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":"117130679","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.2017.8282413
Farhad Shahnia, M. Moghbel, A. Arefi, G. Shafiullah, M. Anda, A. Vahidnia
This paper focuses on the selection of an appropriate standalone electricity supply system for a small island of Western Australia, Australia. To reduce the cost of electricity generation and to determine the most economically feasible solution for this island, several configurations are considered. The considered systems vary from a fully diesel generator-based option towards a hybrid system composed of diesel generators, wind turbines, solar farm and battery energy storage. Each system is analyzed by HOMER software and using the real demand data of the island, as well as the prices of different electrical components in the Australian market. The system which yields the minimum lev-elized cost of energy over the project's lifespan and the minimum net present cost is identified and suggested as the most economic option.
{"title":"Levelized cost of energy and cash flow for a hybrid solar-wind-diesel microgrid on Rottnest island","authors":"Farhad Shahnia, M. Moghbel, A. Arefi, G. Shafiullah, M. Anda, A. Vahidnia","doi":"10.1109/AUPEC.2017.8282413","DOIUrl":"https://doi.org/10.1109/AUPEC.2017.8282413","url":null,"abstract":"This paper focuses on the selection of an appropriate standalone electricity supply system for a small island of Western Australia, Australia. To reduce the cost of electricity generation and to determine the most economically feasible solution for this island, several configurations are considered. The considered systems vary from a fully diesel generator-based option towards a hybrid system composed of diesel generators, wind turbines, solar farm and battery energy storage. Each system is analyzed by HOMER software and using the real demand data of the island, as well as the prices of different electrical components in the Australian market. The system which yields the minimum lev-elized cost of energy over the project's lifespan and the minimum net present cost is identified and suggested as the most economic option.","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":"114896213","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.2017.8282423
Jack Connor, M. Seyedmahmoudian, B. Horan
The proportional-integral-derivate (PID) controller has been relied on by control engineers due to its easy implementation and good performance. Although PID controllers are readily available, they still have limitations. Tuning these controllers often require a deep understanding of control theory to adjust their parameters correctly, which is often time consuming and may not result in an optimal performance. In this study, the use of particle swarm optimization (PSO) is proposed to improve a PID controller on a quadrotor. The PID controller is used to control the height of the quadrotor. Moreover, a simulation run in MATLAB is constructed to increase the height of the quadrotor from 0 m to 1 m. The PSO algorithm is used to tune the controller against a cost function that considers the squared error, maximum overshoot, and the integral of absolute error, which are used to evaluate the performance of the PID values. The PSO should converge on a global minimum, which will be the optimal values of the PID controller. Results from the simulation reveal the performance of the PSO algorithm and the efficiency of the PID controller compared with other methods.
{"title":"Using particle swarm optimization for PID optimization for altitude control on a quadrotor","authors":"Jack Connor, M. Seyedmahmoudian, B. Horan","doi":"10.1109/AUPEC.2017.8282423","DOIUrl":"https://doi.org/10.1109/AUPEC.2017.8282423","url":null,"abstract":"The proportional-integral-derivate (PID) controller has been relied on by control engineers due to its easy implementation and good performance. Although PID controllers are readily available, they still have limitations. Tuning these controllers often require a deep understanding of control theory to adjust their parameters correctly, which is often time consuming and may not result in an optimal performance. In this study, the use of particle swarm optimization (PSO) is proposed to improve a PID controller on a quadrotor. The PID controller is used to control the height of the quadrotor. Moreover, a simulation run in MATLAB is constructed to increase the height of the quadrotor from 0 m to 1 m. The PSO algorithm is used to tune the controller against a cost function that considers the squared error, maximum overshoot, and the integral of absolute error, which are used to evaluate the performance of the PID values. The PSO should converge on a global minimum, which will be the optimal values of the PID controller. Results from the simulation reveal the performance of the PSO algorithm and the efficiency of the PID controller compared with other methods.","PeriodicalId":155608,"journal":{"name":"2017 Australasian Universities Power Engineering Conference (AUPEC)","volume":"333 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":"122710181","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.2017.8282383
V. Dehalwar, Akhtar Kalama, M. Kolheb, Aladin Zayegha
The consumption of electricity is increasing with consistent increase in demand of electricity. Advance metering infrastructure (AMI) is a part of energy management system (EMS) that can pro-actively control the consumption of electricity by engaging with utilities for demand management in real-time. The analysis of the electricity consumption pattern of an Australian house is conducted in this study. The investigation reveals that Heat Ventilation Air conditioning (HVAC) and Hot Water System (HWS) consume approximately 50% of the total electricity consumption. Optimised utilization of these two systems efficiently using AMI can help in reduction of electricity consumption. The study also illustrate strong co-relation between carbon emission. Tweaking the temperature setting of HVAC and HWS can significantly help in reducting the carbon emission.
{"title":"Electricity demand management by optimising the use of HVAC and HWS through AMI","authors":"V. Dehalwar, Akhtar Kalama, M. Kolheb, Aladin Zayegha","doi":"10.1109/AUPEC.2017.8282383","DOIUrl":"https://doi.org/10.1109/AUPEC.2017.8282383","url":null,"abstract":"The consumption of electricity is increasing with consistent increase in demand of electricity. Advance metering infrastructure (AMI) is a part of energy management system (EMS) that can pro-actively control the consumption of electricity by engaging with utilities for demand management in real-time. The analysis of the electricity consumption pattern of an Australian house is conducted in this study. The investigation reveals that Heat Ventilation Air conditioning (HVAC) and Hot Water System (HWS) consume approximately 50% of the total electricity consumption. Optimised utilization of these two systems efficiently using AMI can help in reduction of electricity consumption. The study also illustrate strong co-relation between carbon emission. Tweaking the temperature setting of HVAC and HWS can significantly help in reducting the carbon emission.","PeriodicalId":155608,"journal":{"name":"2017 Australasian Universities Power Engineering Conference (AUPEC)","volume":"19 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":"128318004","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.2017.8282399
Han Wang, N. Good, P. Mancarella
Demand side response is seen as an important resource to provide flexibility into to the grid. This paper presents a smart community optimization model, implemented using a mixed integer linear programming technique, which is based upon physical models of the building, battery energy storage, thermal energy storage, and energy conversion devices. Various sources of flexibility, including battery energy storage, thermal energy storage, and building thermal storage, have been assessed applying different objectives. Analyses of community operational behavior and of annual cash flows are carried out to understand the benefit and feasibility of different flexibility options under both cost minimization and electricity self-sufficiency objectives. Among all the flexibility options, battery energy storage can bring the greatest operational revenue to the community, under a cost minimization objective. In contrast, electricity self-sufficiency might not be attractive to consumers and communities who would like to ‘leave the grid’, as it may lead to significant revenue losses.
{"title":"Modelling and valuing multi-energy flexibility from community energy systems","authors":"Han Wang, N. Good, P. Mancarella","doi":"10.1109/AUPEC.2017.8282399","DOIUrl":"https://doi.org/10.1109/AUPEC.2017.8282399","url":null,"abstract":"Demand side response is seen as an important resource to provide flexibility into to the grid. This paper presents a smart community optimization model, implemented using a mixed integer linear programming technique, which is based upon physical models of the building, battery energy storage, thermal energy storage, and energy conversion devices. Various sources of flexibility, including battery energy storage, thermal energy storage, and building thermal storage, have been assessed applying different objectives. Analyses of community operational behavior and of annual cash flows are carried out to understand the benefit and feasibility of different flexibility options under both cost minimization and electricity self-sufficiency objectives. Among all the flexibility options, battery energy storage can bring the greatest operational revenue to the community, under a cost minimization objective. In contrast, electricity self-sufficiency might not be attractive to consumers and communities who would like to ‘leave the grid’, as it may lead to significant revenue losses.","PeriodicalId":155608,"journal":{"name":"2017 Australasian Universities Power Engineering Conference (AUPEC)","volume":"48 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":"126681858","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.2017.8282393
Lars Abrahamsson
In railway power supply systems using AC frequencies lower than the public grids of 50/60 Hz, high voltage AC overhead transmission lines in railway grid frequency are used as one measure of strengthening the systems. An increased resistance to overhead high voltage AC transmission lines, may motivate cables for future railway power systems. With the frequency of 50/60 Hz, reactive power produced in lowly utilized cables imposes an obstacle. For low frequency AC, this issue is less significant. Moreover, in converter-fed railways, no reactive power will leak into the feeding public grid. This paper studies AC cables in low-frequency AC railway. Two reinforcement cable solutions are compared with no reinforcement. A simplified load model of trains, with thyristor bridges and DC motors, is used.
{"title":"AC cables strengthening railway low frequency AC power supply systems — A deepened study","authors":"Lars Abrahamsson","doi":"10.1109/AUPEC.2017.8282393","DOIUrl":"https://doi.org/10.1109/AUPEC.2017.8282393","url":null,"abstract":"In railway power supply systems using AC frequencies lower than the public grids of 50/60 Hz, high voltage AC overhead transmission lines in railway grid frequency are used as one measure of strengthening the systems. An increased resistance to overhead high voltage AC transmission lines, may motivate cables for future railway power systems. With the frequency of 50/60 Hz, reactive power produced in lowly utilized cables imposes an obstacle. For low frequency AC, this issue is less significant. Moreover, in converter-fed railways, no reactive power will leak into the feeding public grid. This paper studies AC cables in low-frequency AC railway. Two reinforcement cable solutions are compared with no reinforcement. A simplified load model of trains, with thyristor bridges and DC motors, is used.","PeriodicalId":155608,"journal":{"name":"2017 Australasian Universities Power Engineering Conference (AUPEC)","volume":"49 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":"126802803","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.2017.8282436
I. Osman, D. Xiao, M.F. Rahman, M. Habibullah
Conventional Finite State Predictive Torque control (FS-PTC) for three-level Neutral Point Clamped voltage source inverter (3L-NPC VSI) uses 27 voltage vectors for prediction and actuation. Using all voltage vectors for the prediction loop is not an ideal method as it increases computational burden. This paper proposes a less complex prediction loop method with selected number of voltage vectors for FS-PTC of a three level NPC driven induction motor. The number of voltage vectors is reduced based on a two-stage optimal vector selection algorithm. In the first stage, the algorithm considers the VSI as two-level and selects the most favourable long vector. In the second stage, among the short and the medium voltage vectors closest to the long vector which is selected in the first stage, the optimum vector is selected for prediction. Compared to 27 voltage vectors based prediction, this algorithm evaluates 15 selected vectors in total for prediction and actuation. The effectiveness of the proposed algorithm in terms of speed, torque and flux responses and capacitor voltage balancing is presented through simulation results from MATLAB/Simulink. Computational time is measured from a real-time simulation implemented on dSPACE DS1104 platform. The results show that the proposed method reduces the computation time significantly (by about 45%), while the dynamic and steady-state performances of the motor drive are retained similar to the conventional FS-PTC.
{"title":"A two-stage optimal vector selection method for predictive torque control of a three-level VSI driven induction motor","authors":"I. Osman, D. Xiao, M.F. Rahman, M. Habibullah","doi":"10.1109/AUPEC.2017.8282436","DOIUrl":"https://doi.org/10.1109/AUPEC.2017.8282436","url":null,"abstract":"Conventional Finite State Predictive Torque control (FS-PTC) for three-level Neutral Point Clamped voltage source inverter (3L-NPC VSI) uses 27 voltage vectors for prediction and actuation. Using all voltage vectors for the prediction loop is not an ideal method as it increases computational burden. This paper proposes a less complex prediction loop method with selected number of voltage vectors for FS-PTC of a three level NPC driven induction motor. The number of voltage vectors is reduced based on a two-stage optimal vector selection algorithm. In the first stage, the algorithm considers the VSI as two-level and selects the most favourable long vector. In the second stage, among the short and the medium voltage vectors closest to the long vector which is selected in the first stage, the optimum vector is selected for prediction. Compared to 27 voltage vectors based prediction, this algorithm evaluates 15 selected vectors in total for prediction and actuation. The effectiveness of the proposed algorithm in terms of speed, torque and flux responses and capacitor voltage balancing is presented through simulation results from MATLAB/Simulink. Computational time is measured from a real-time simulation implemented on dSPACE DS1104 platform. The results show that the proposed method reduces the computation time significantly (by about 45%), while the dynamic and steady-state performances of the motor drive are retained similar to the conventional FS-PTC.","PeriodicalId":155608,"journal":{"name":"2017 Australasian Universities Power Engineering Conference (AUPEC)","volume":"15 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":"130565304","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.2017.8282481
M. Taljaard, N. Mbuli, J. Pretorius
There has been a decrease in lightning strike fatalities in developing countries in recent years, but for less-developed countries, lightning fatalities remain a great concern. The education of people concerning lightning and lightning safety must be a priority to government and non-governmental organizations, especially with major projects moving to rural areas. At Medupi Power Station project in South Africa, two structures were evaluated for lightning safety and the risk to loss of human life, by making use of SANS (South African National Standard) for a lightning protection risk assessment. One other case study was assessed for relevance on the information distributed with regards to lightning education. Results indicate that a lightning protection risk assessment plays an important role to ensure the safety of people in permanent and temporary structures. Lightning educational information must be scientifically correct, relevant to the people being educated and must address different cultural believes and myths.
{"title":"The importance of lightning education and a lightning protection risk assessment to reduce fatalities","authors":"M. Taljaard, N. Mbuli, J. Pretorius","doi":"10.1109/AUPEC.2017.8282481","DOIUrl":"https://doi.org/10.1109/AUPEC.2017.8282481","url":null,"abstract":"There has been a decrease in lightning strike fatalities in developing countries in recent years, but for less-developed countries, lightning fatalities remain a great concern. The education of people concerning lightning and lightning safety must be a priority to government and non-governmental organizations, especially with major projects moving to rural areas. At Medupi Power Station project in South Africa, two structures were evaluated for lightning safety and the risk to loss of human life, by making use of SANS (South African National Standard) for a lightning protection risk assessment. One other case study was assessed for relevance on the information distributed with regards to lightning education. Results indicate that a lightning protection risk assessment plays an important role to ensure the safety of people in permanent and temporary structures. Lightning educational information must be scientifically correct, relevant to the people being educated and must address different cultural believes and myths.","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":"114717180","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.2017.8282408
Prabha Ariyaratna, K. Muttaqi, D. Sutanto
High penetration of residential rooftop solar photo-voltaic (PV) units can cause both slow and fast voltage fluctuations in the connected low voltage (LV) distribution feeder due to random variations in solar PV power output, in addition to the variations in load demand. In this paper, a novel control strategy is proposed to simultaneously mitigate associated slow and fast voltage fluctuations in connected LV distribution feeder using distributed energy storage; which has not been addressed in the literature. Integrated battery energy storage systems in solar PV units will be dynamically charged to mitigate the voltage rise during mid-day and discharged during the evening peak hours, simultaneously controlling the ramp rate of the PV inverter to a defined ramp rate. The proposed control strategy has been validated using a practical distribution feeder system in NSW, Australia and results are reported. The test simulation case studies are carried out using MATLAB simulations.
{"title":"Novel methodology to simultaneously mitigate fast and slow voltage fluctuations of voltage profile in distribution feeder using battery storage","authors":"Prabha Ariyaratna, K. Muttaqi, D. Sutanto","doi":"10.1109/AUPEC.2017.8282408","DOIUrl":"https://doi.org/10.1109/AUPEC.2017.8282408","url":null,"abstract":"High penetration of residential rooftop solar photo-voltaic (PV) units can cause both slow and fast voltage fluctuations in the connected low voltage (LV) distribution feeder due to random variations in solar PV power output, in addition to the variations in load demand. In this paper, a novel control strategy is proposed to simultaneously mitigate associated slow and fast voltage fluctuations in connected LV distribution feeder using distributed energy storage; which has not been addressed in the literature. Integrated battery energy storage systems in solar PV units will be dynamically charged to mitigate the voltage rise during mid-day and discharged during the evening peak hours, simultaneously controlling the ramp rate of the PV inverter to a defined ramp rate. The proposed control strategy has been validated using a practical distribution feeder system in NSW, Australia and results are reported. The test simulation case studies are carried out using MATLAB simulations.","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":"130026768","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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