Pub Date : 2017-11-01DOI: 10.1109/AUPEC.2017.8282453
H. Tidey, S. Lyden
Increased penetration of residential photovoltaic (PV) systems over the past decade has led to an abundance of power being exported back to the grid during times of high irradiance. Electric vehicle (EV) ownership has also increased recently, with predictions of further rises in the short to medium term resulting in increased network loading. Both EVs and PVs present significant environmental and economic advantages however they also pose challenges for network operators. This paper describes the development of a tool for coordinating PV generation and EV battery charging such that each technology is exploited, while negative impacts are mitigated. The results obtained from testing the developed strategy reveal that under Tasmanian summer conditions an EV battery could gain significant increased charge through only charging during periods of the day where PV generation was greater than local loading. Winter conditions are also tested with positive, although less significant results achieved.
{"title":"Coordination of electric vehicle battery charging with photovoltaic generation","authors":"H. Tidey, S. Lyden","doi":"10.1109/AUPEC.2017.8282453","DOIUrl":"https://doi.org/10.1109/AUPEC.2017.8282453","url":null,"abstract":"Increased penetration of residential photovoltaic (PV) systems over the past decade has led to an abundance of power being exported back to the grid during times of high irradiance. Electric vehicle (EV) ownership has also increased recently, with predictions of further rises in the short to medium term resulting in increased network loading. Both EVs and PVs present significant environmental and economic advantages however they also pose challenges for network operators. This paper describes the development of a tool for coordinating PV generation and EV battery charging such that each technology is exploited, while negative impacts are mitigated. The results obtained from testing the developed strategy reveal that under Tasmanian summer conditions an EV battery could gain significant increased charge through only charging during periods of the day where PV generation was greater than local loading. Winter conditions are also tested with positive, although less significant results achieved.","PeriodicalId":155608,"journal":{"name":"2017 Australasian Universities Power Engineering Conference (AUPEC)","volume":"10 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":"116895524","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.2017.8282414
Moudud Ahmed, A. Vahidnia, Lasantha Gunaruwan Meegahapola, M. Datta
Majority of the stability studies conducted on AC and DC microgrids have investigated stability with only static loads in the microgrid. Dynamic loads significantly influence the stability of mirogrids due to their voltage and frequency dependent nature. Therefore, small variation in voltage and frequency can make significant impact on the stability of the microgrid with the presence of dynamic loads. Thus, it is imperative to consider the dynamic loads in the microgrid for stability studies. Moreover, stability issues become more severe if the microgrid is operated in the standalone mode. This paper characterises the small-signal stability of a hybrid AC/DC microgrid with static and dynamic loads using state-space and dynamic simulation models developed in MATLAB/Simulink. This study investigates the critical parameters of the dynamic load which significantly affect the stability of the microgrid. Subsequently, eigenvalue analysis and time-domain simulations have been carried out to investigate the small-signal stability of the hybrid AC/DC microgrid. Eigen-sensitivity analysis has revealed that induction machine rotor resistance has the highest participation on the critical modes of the hybrid AC/DC microgrid. Additionally, the controller gains of the voltage source converters may require re-tuning due to the presence of dynamic loads.
{"title":"Small signal stability analysis of a hybrid AC/DC microgrid with static and dynamic loads","authors":"Moudud Ahmed, A. Vahidnia, Lasantha Gunaruwan Meegahapola, M. Datta","doi":"10.1109/AUPEC.2017.8282414","DOIUrl":"https://doi.org/10.1109/AUPEC.2017.8282414","url":null,"abstract":"Majority of the stability studies conducted on AC and DC microgrids have investigated stability with only static loads in the microgrid. Dynamic loads significantly influence the stability of mirogrids due to their voltage and frequency dependent nature. Therefore, small variation in voltage and frequency can make significant impact on the stability of the microgrid with the presence of dynamic loads. Thus, it is imperative to consider the dynamic loads in the microgrid for stability studies. Moreover, stability issues become more severe if the microgrid is operated in the standalone mode. This paper characterises the small-signal stability of a hybrid AC/DC microgrid with static and dynamic loads using state-space and dynamic simulation models developed in MATLAB/Simulink. This study investigates the critical parameters of the dynamic load which significantly affect the stability of the microgrid. Subsequently, eigenvalue analysis and time-domain simulations have been carried out to investigate the small-signal stability of the hybrid AC/DC microgrid. Eigen-sensitivity analysis has revealed that induction machine rotor resistance has the highest participation on the critical modes of the hybrid AC/DC microgrid. Additionally, the controller gains of the voltage source converters may require re-tuning due to the presence of dynamic loads.","PeriodicalId":155608,"journal":{"name":"2017 Australasian Universities Power Engineering Conference (AUPEC)","volume":"9 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":"121811139","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.2017.8282443
Adarsh Kumar, A. S. Ali
Electricity market in Fiji Islands are evolving. Accurate wind power forecasts are beneficial for wind plant operators, utility operators, and utility customers. An accurate forecast makes it possible for grid operators to schedule the economically efficient generation to meet the demand of electrical customers. This paper describes a feasibility study undertaken to forecast the potential of wind energy within the context of Rakiraki area which belongs to Western Division in Fiji by using forecasting algorithms. The daily wind speed data we consider from Fiji Meteorological Service within the time frame from 29th of August 2012 until the 30th of December 2016 and analyze to forecast wind speed to see the possibility of wind energy production in Fiji. Forecasting algorithms are tested with the dataset and it is clearly observed that Randomizable Filtered Classifier algorithm has forecasted exceptionally well. This study would encourage potential investors in giving them near to actual forecasted wind data for a feasibility study of their investment into wind energy farming to meet the demand of renewable energy production in Fiji.
{"title":"Prospects of wind energy production in the western Fiji — An empirical study using machine learning forecasting algorithms","authors":"Adarsh Kumar, A. S. Ali","doi":"10.1109/AUPEC.2017.8282443","DOIUrl":"https://doi.org/10.1109/AUPEC.2017.8282443","url":null,"abstract":"Electricity market in Fiji Islands are evolving. Accurate wind power forecasts are beneficial for wind plant operators, utility operators, and utility customers. An accurate forecast makes it possible for grid operators to schedule the economically efficient generation to meet the demand of electrical customers. This paper describes a feasibility study undertaken to forecast the potential of wind energy within the context of Rakiraki area which belongs to Western Division in Fiji by using forecasting algorithms. The daily wind speed data we consider from Fiji Meteorological Service within the time frame from 29th of August 2012 until the 30th of December 2016 and analyze to forecast wind speed to see the possibility of wind energy production in Fiji. Forecasting algorithms are tested with the dataset and it is clearly observed that Randomizable Filtered Classifier algorithm has forecasted exceptionally well. This study would encourage potential investors in giving them near to actual forecasted wind data for a feasibility study of their investment into wind energy farming to meet the demand of renewable energy production in Fiji.","PeriodicalId":155608,"journal":{"name":"2017 Australasian Universities Power Engineering Conference (AUPEC)","volume":"16 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":"122039057","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.2017.8282438
T. Das, Jingxin Zhang
This paper proposes a unique coordinated ride-through capability enhancement scheme for Type IV wind generators to counter the impact of symmetrical and asymmetrical voltage swells. A novel protection hardware configuration is utilized to restrict the dc-link overvoltage and undervoltage in the event of voltage swells at the Point of Common Coupling (PCC), which would otherwise damage the converter. Moreover, a reactive power flow management algorithm is implemented to support the grid voltage during the transient event. A supervisory controller is used to control the insertion of the protection hardware and also to regulate the reactive power flow between the generator and grid. It is observed that there is substantial improvement in ride-through performance. A 10-MW Wound Rotor Synchrnous Generator (WRSG) wind farm in MATLAB/Simscape Power Systems is utilized to validate the effectiveness of the scheme. The 10 MW wind farm consists of 5 × 2-MW wind generators.
本文提出了一种独特的四型风力发电机协调穿越能力增强方案，以应对对称和不对称电压波动的影响。采用一种新颖的保护硬件配置，在共耦合点(PCC)电压膨胀时限制直流链路过压和欠压，否则会损坏变换器。此外，还实现了一种无功潮流管理算法，以支持暂态事件期间的电网电压。监控控制器用于控制保护硬件的插入，并调节发电机和电网之间的无功功率流。可以观察到，穿越性能有实质性的改善。利用MATLAB/Simscape Power Systems中的10 mw绕线转子同步发电机(WRSG)风电场验证了该方案的有效性。10兆瓦的风电场由5 × 2兆瓦的风力发电机组成。
{"title":"Mitigating the impact of voltage sags and swells on type IV wind generator systems","authors":"T. Das, Jingxin Zhang","doi":"10.1109/AUPEC.2017.8282438","DOIUrl":"https://doi.org/10.1109/AUPEC.2017.8282438","url":null,"abstract":"This paper proposes a unique coordinated ride-through capability enhancement scheme for Type IV wind generators to counter the impact of symmetrical and asymmetrical voltage swells. A novel protection hardware configuration is utilized to restrict the dc-link overvoltage and undervoltage in the event of voltage swells at the Point of Common Coupling (PCC), which would otherwise damage the converter. Moreover, a reactive power flow management algorithm is implemented to support the grid voltage during the transient event. A supervisory controller is used to control the insertion of the protection hardware and also to regulate the reactive power flow between the generator and grid. It is observed that there is substantial improvement in ride-through performance. A 10-MW Wound Rotor Synchrnous Generator (WRSG) wind farm in MATLAB/Simscape Power Systems is utilized to validate the effectiveness of the scheme. The 10 MW wind farm consists of 5 × 2-MW wind generators.","PeriodicalId":155608,"journal":{"name":"2017 Australasian Universities Power Engineering Conference (AUPEC)","volume":"83 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":"122625617","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.2017.8282476
M. Uddin, G. Mirzaeva, G. Goodwin
Model Predictive Control (MPC) is a powerful and robust strategy used to control power inverters. Common mode voltage (CMV) is a known source of problems in many inverter applications. The aim of this paper is to present and discuss the latest contributions in the area of CMV mitigation, with a focus on MPC-based strategies. The paper reviews the most common inverter topologies, including two-level (standard and modified) and three-level inverters, provides background of CMV generation and outlines opportunities and limitations for CMV mitigation, for each topology. The paper presents an extensive overview of the recent work on CMV mitigation, and outlines future scope for the MPC-based solutions of the CMV problem.
{"title":"Recent advances in common mode voltage mitigation techniques based on MPC","authors":"M. Uddin, G. Mirzaeva, G. Goodwin","doi":"10.1109/AUPEC.2017.8282476","DOIUrl":"https://doi.org/10.1109/AUPEC.2017.8282476","url":null,"abstract":"Model Predictive Control (MPC) is a powerful and robust strategy used to control power inverters. Common mode voltage (CMV) is a known source of problems in many inverter applications. The aim of this paper is to present and discuss the latest contributions in the area of CMV mitigation, with a focus on MPC-based strategies. The paper reviews the most common inverter topologies, including two-level (standard and modified) and three-level inverters, provides background of CMV generation and outlines opportunities and limitations for CMV mitigation, for each topology. The paper presents an extensive overview of the recent work on CMV mitigation, and outlines future scope for the MPC-based solutions of the CMV problem.","PeriodicalId":155608,"journal":{"name":"2017 Australasian Universities Power Engineering Conference (AUPEC)","volume":"64 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":"114842563","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.2017.8282507
Nihan Çiçek van der Heijden, T. Alpcan, E. A. Martinez-Ceseña, F. Suits
This paper studies small PV-rich communities that wish to purchase their electricity directly from generators through long-term power purchase agreements (PPA) and the spot market if necessary. Net demand, defined as the difference between total demand and solar generation, is satisfied through PPA and the spot market. Due to the random nature of solar generation, net demand is random and hard to estimate. This randomness may lead to a mismatch between the actual net demand and PPA. When net demand exceeds PPA, electricity is purchased at the spot market prices causing increased operational costs. To avoid this mismatch and utilise solar potential efficiently, we propose a probabilistic optimisation approach using the statistical properties of solar generation. We model solar energy generation as a random variable for each daylight hour at a chosen location using historical solar irradiance data. By transforming random variables, we find the probability distribution of the net demand which is used to propose a market exposure probability limiting optimisation problem. The overall objective of the optimisation problem is to minimise operational costs of communities. Unlike forecasting and Monte Carlo Simulation, our methodology enables market exposure risk analysis, fine-tuning PPA and a good understanding of statistical properties of solar generation.
{"title":"Optimal power purchase agreements in PV-rich communities","authors":"Nihan Çiçek van der Heijden, T. Alpcan, E. A. Martinez-Ceseña, F. Suits","doi":"10.1109/AUPEC.2017.8282507","DOIUrl":"https://doi.org/10.1109/AUPEC.2017.8282507","url":null,"abstract":"This paper studies small PV-rich communities that wish to purchase their electricity directly from generators through long-term power purchase agreements (PPA) and the spot market if necessary. Net demand, defined as the difference between total demand and solar generation, is satisfied through PPA and the spot market. Due to the random nature of solar generation, net demand is random and hard to estimate. This randomness may lead to a mismatch between the actual net demand and PPA. When net demand exceeds PPA, electricity is purchased at the spot market prices causing increased operational costs. To avoid this mismatch and utilise solar potential efficiently, we propose a probabilistic optimisation approach using the statistical properties of solar generation. We model solar energy generation as a random variable for each daylight hour at a chosen location using historical solar irradiance data. By transforming random variables, we find the probability distribution of the net demand which is used to propose a market exposure probability limiting optimisation problem. The overall objective of the optimisation problem is to minimise operational costs of communities. Unlike forecasting and Monte Carlo Simulation, our methodology enables market exposure risk analysis, fine-tuning PPA and a good understanding of statistical properties of solar generation.","PeriodicalId":155608,"journal":{"name":"2017 Australasian Universities Power Engineering Conference (AUPEC)","volume":"2 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":"115340804","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.2017.8282409
Arian Zahedmanesh, D. Sutanto, K. Muttaqi
Despite the significant advantages of Plugin Electric Vehicles (PEVs), the mass charging of PEVs can cause an increase of the peak load demand and worsen the voltage quality specifically in Low Voltage (LV) distribution networks. In this context, different technical approaches and charging control strategies have been proposed. Nevertheless, most of these methods necessitate advanced communication systems. In this work, based on the SAE J1772 standard, initially an interface unit for controlling the charging current of PEVs is introduced. A droop charging control system, which only needs local measurements, is proposed for the AC charging of PEVs. Using the field measurements and existing statistical studies, the PEV charging loads are modelled and the capability of the proposed system is evaluated for an LV test system with different electric loads and high penetration of PEVs. The results of the simulations confirm the feasibility of the proposed method.
{"title":"Analyzing the impacts of charging plug-in electric vehicles in low voltage distribution networks: A case study of utilization of droop charging control system based on the SAE J1772 Standard","authors":"Arian Zahedmanesh, D. Sutanto, K. Muttaqi","doi":"10.1109/AUPEC.2017.8282409","DOIUrl":"https://doi.org/10.1109/AUPEC.2017.8282409","url":null,"abstract":"Despite the significant advantages of Plugin Electric Vehicles (PEVs), the mass charging of PEVs can cause an increase of the peak load demand and worsen the voltage quality specifically in Low Voltage (LV) distribution networks. In this context, different technical approaches and charging control strategies have been proposed. Nevertheless, most of these methods necessitate advanced communication systems. In this work, based on the SAE J1772 standard, initially an interface unit for controlling the charging current of PEVs is introduced. A droop charging control system, which only needs local measurements, is proposed for the AC charging of PEVs. Using the field measurements and existing statistical studies, the PEV charging loads are modelled and the capability of the proposed system is evaluated for an LV test system with different electric loads and high penetration of PEVs. The results of the simulations confirm the feasibility of the proposed method.","PeriodicalId":155608,"journal":{"name":"2017 Australasian Universities Power Engineering Conference (AUPEC)","volume":"95 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":"126447539","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.2017.8282485
Md. Rifat Hazari, M. Mannan, S. Muyeen, A. Umemura, R. Takahashi, J. Tamura
Integration of large scale renewable energy sources (RESs), such as: wind power and photovoltaic (PV) plants, into the power system decreases the dependence on fossil fuel. Therefore, the total system inertia will be reduced because of gradual replacement of the conventional synchronous generators (SGs). This paper proposes a new method to enhance the transient stability of the power system with RESs introduced, in which variable speed wind turbine with doubly fed induction generator (VSWT-DFIG) supplies its kinetic energy (KE) during generation outage to stabilize conventional SGs. A suitable fuzzy logic based synthetic inertia controller is proposed to supply the KE effectively during transient period. This fuzzy logic controller (FLC) can continuously adjust the synthetic inertia controller gain depending upon the incoming wind speed. The effectiveness of the proposed synthetic inertia control method has been verified through simulation analyses on a hybrid power system model composed of DFIG, PV plant and SGs.
{"title":"Transient stability augmentation of hybrid power system based on synthetic inertia control of DFIG","authors":"Md. Rifat Hazari, M. Mannan, S. Muyeen, A. Umemura, R. Takahashi, J. Tamura","doi":"10.1109/AUPEC.2017.8282485","DOIUrl":"https://doi.org/10.1109/AUPEC.2017.8282485","url":null,"abstract":"Integration of large scale renewable energy sources (RESs), such as: wind power and photovoltaic (PV) plants, into the power system decreases the dependence on fossil fuel. Therefore, the total system inertia will be reduced because of gradual replacement of the conventional synchronous generators (SGs). This paper proposes a new method to enhance the transient stability of the power system with RESs introduced, in which variable speed wind turbine with doubly fed induction generator (VSWT-DFIG) supplies its kinetic energy (KE) during generation outage to stabilize conventional SGs. A suitable fuzzy logic based synthetic inertia controller is proposed to supply the KE effectively during transient period. This fuzzy logic controller (FLC) can continuously adjust the synthetic inertia controller gain depending upon the incoming wind speed. The effectiveness of the proposed synthetic inertia control method has been verified through simulation analyses on a hybrid power system model composed of DFIG, PV plant and SGs.","PeriodicalId":155608,"journal":{"name":"2017 Australasian Universities Power Engineering Conference (AUPEC)","volume":"7 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":"124816156","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.2017.8282403
T. K. Roy, M. A. Mahmud, A. Oo
This paper presents a nonlinear backsteping control scheme to control the power injection into the grid from an electric vehicle as well as to improve the power quality. The proposed controller is design by considering the dynamical model of vehicle-to-grid (V2G) system along with the dynamics of an LCL filter. The control Lyapunov function is used to analyze the stability of the V2G system as the negative definiteness or semi-definiteness of its derivative indicates the stability of the system. Simulation results are carried out on a test V2G system using MATLAB/SIMULINK Sim-PowerSystems Toolbox. The performance of the proposed controller is compared with a similar backstepping controller used for the V2G system with an L filter in terms of both power injection capability into the grid and improvement in power quality. Simulation results demonstrate that the designed controller offers improved power quality with an LCL filter as compared to an L filter though there are no differences in the power injection capability. This improvement in power quality is demonstrated through the total harmonic distortion (THD) in the injected current into the grid.
{"title":"Nonlinear backstepping controller design for V2G applications with output LCL filters","authors":"T. K. Roy, M. A. Mahmud, A. Oo","doi":"10.1109/AUPEC.2017.8282403","DOIUrl":"https://doi.org/10.1109/AUPEC.2017.8282403","url":null,"abstract":"This paper presents a nonlinear backsteping control scheme to control the power injection into the grid from an electric vehicle as well as to improve the power quality. The proposed controller is design by considering the dynamical model of vehicle-to-grid (V2G) system along with the dynamics of an LCL filter. The control Lyapunov function is used to analyze the stability of the V2G system as the negative definiteness or semi-definiteness of its derivative indicates the stability of the system. Simulation results are carried out on a test V2G system using MATLAB/SIMULINK Sim-PowerSystems Toolbox. The performance of the proposed controller is compared with a similar backstepping controller used for the V2G system with an L filter in terms of both power injection capability into the grid and improvement in power quality. Simulation results demonstrate that the designed controller offers improved power quality with an LCL filter as compared to an L filter though there are no differences in the power injection capability. This improvement in power quality is demonstrated through the total harmonic distortion (THD) in the injected current into the grid.","PeriodicalId":155608,"journal":{"name":"2017 Australasian Universities Power Engineering Conference (AUPEC)","volume":"13 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":"129905329","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.2017.8282406
Farhad Shahnia, R. Fornarelli, M. Anda, P. Bahri
This paper presents a feasibility analysis for running a water treatment system by renewable energies in a regional town of Western Australia. The main motivation is the inadequate capacity in the electricity feeder supplying the town especially in summer. Instead of augmenting the feeder to the town to supply the electricity demand of the water treatment system, locally installed renewable energies seem to be sustainable, cost effective and attractive for the local electricity utility. This paper finds an economically attractive and technically feasible solution in the form of integrating a distributed system of rooftop solar photovoltaic systems with wind energy and existing grid to supply the energy demand of the town, as well as the new water treatment system. The proposed hybrid energy system provides electricity at a lower cost than the current energy solution, while improving the penetration of renewable energies in the region.
{"title":"A renewable energy-driven water treatment system in regional Western Australia","authors":"Farhad Shahnia, R. Fornarelli, M. Anda, P. Bahri","doi":"10.1109/AUPEC.2017.8282406","DOIUrl":"https://doi.org/10.1109/AUPEC.2017.8282406","url":null,"abstract":"This paper presents a feasibility analysis for running a water treatment system by renewable energies in a regional town of Western Australia. The main motivation is the inadequate capacity in the electricity feeder supplying the town especially in summer. Instead of augmenting the feeder to the town to supply the electricity demand of the water treatment system, locally installed renewable energies seem to be sustainable, cost effective and attractive for the local electricity utility. This paper finds an economically attractive and technically feasible solution in the form of integrating a distributed system of rooftop solar photovoltaic systems with wind energy and existing grid to supply the energy demand of the town, as well as the new water treatment system. The proposed hybrid energy system provides electricity at a lower cost than the current energy solution, while improving the penetration of renewable energies in the region.","PeriodicalId":155608,"journal":{"name":"2017 Australasian Universities Power Engineering Conference (AUPEC)","volume":"92 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":"133685285","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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