Pub Date : 2017-11-01DOI: 10.1109/AUPEC.2017.8282421
V. Tran, D. Sutanto, K. Muttaqi
Electric vehicle battery (EVB) charger topologies play a vital role to increase the penetration of EVs. This paper reviews the status quo of EV battery (EVB) chargers in term of converter topologies, operation modes, and power control strategies for EVs. EVB Chargers are classified based on their power levels and power flow direction. Referring to power ratings, EV chargers can be divided into Level 1, Level 2 and Level 3. Level 1 and Level 2 are normally compatible with on-board chargers while Level 3 is used for an off-board charger. Unidirectional/ bidirectional power flow can be obtained at all power levels. However, bidirectional power flow is usually designed for Level 3 chargers as it can provide the huge benefit of transferring power back to grid when needed. Moreover, the different operation modes of an EVB charger are also presented. There are two main modes: Grid-to-Vehicle (V1G or G2V) and Vehicle-to-Grid (V2G). The V2G mode helps bring EV batteries to become active distributed sources in smart grids and is the crucial solution for a high EV penetration. Future trend and authors' recommendations with preliminary simulation and experimental results are demonstrated in this paper.
{"title":"The state of the art of battery charging infrastructure for electrical vehicles: Topologies, power control strategies, and future trend","authors":"V. Tran, D. Sutanto, K. Muttaqi","doi":"10.1109/AUPEC.2017.8282421","DOIUrl":"https://doi.org/10.1109/AUPEC.2017.8282421","url":null,"abstract":"Electric vehicle battery (EVB) charger topologies play a vital role to increase the penetration of EVs. This paper reviews the status quo of EV battery (EVB) chargers in term of converter topologies, operation modes, and power control strategies for EVs. EVB Chargers are classified based on their power levels and power flow direction. Referring to power ratings, EV chargers can be divided into Level 1, Level 2 and Level 3. Level 1 and Level 2 are normally compatible with on-board chargers while Level 3 is used for an off-board charger. Unidirectional/ bidirectional power flow can be obtained at all power levels. However, bidirectional power flow is usually designed for Level 3 chargers as it can provide the huge benefit of transferring power back to grid when needed. Moreover, the different operation modes of an EVB charger are also presented. There are two main modes: Grid-to-Vehicle (V1G or G2V) and Vehicle-to-Grid (V2G). The V2G mode helps bring EV batteries to become active distributed sources in smart grids and is the crucial solution for a high EV penetration. Future trend and authors' recommendations with preliminary simulation and experimental results are demonstrated in this paper.","PeriodicalId":155608,"journal":{"name":"2017 Australasian Universities Power Engineering Conference (AUPEC)","volume":"111 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":"133144190","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.2017.8282381
K. Prakash, F. Islam, K. Mamun, S. Ali
To reduce power disruptions in power distribution systems, it is important to install distributed generation (DG) in the distribution systems. DG in distribution systems help to improve power quality and reliability of the networks, provided the DG units are placed at the best location with required size. There are various DG placement techniques that can be used to determine optimal location and size of DG in a distribution network. In this paper an extensive review of the art models and methods of existing optimal DG placement based on analytical optimization and heuristic optimization have been discussed. The algorithm, description, advantages, disadvantages and applications of optimization techniques have been discussed with a comparison between analytical and heuristic technique.
{"title":"Optimal generators placement techniques in distribution networks: A review","authors":"K. Prakash, F. Islam, K. Mamun, S. Ali","doi":"10.1109/AUPEC.2017.8282381","DOIUrl":"https://doi.org/10.1109/AUPEC.2017.8282381","url":null,"abstract":"To reduce power disruptions in power distribution systems, it is important to install distributed generation (DG) in the distribution systems. DG in distribution systems help to improve power quality and reliability of the networks, provided the DG units are placed at the best location with required size. There are various DG placement techniques that can be used to determine optimal location and size of DG in a distribution network. In this paper an extensive review of the art models and methods of existing optimal DG placement based on analytical optimization and heuristic optimization have been discussed. The algorithm, description, advantages, disadvantages and applications of optimization techniques have been discussed with a comparison between analytical and heuristic technique.","PeriodicalId":155608,"journal":{"name":"2017 Australasian Universities Power Engineering Conference (AUPEC)","volume":"6 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":"126138829","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.2017.8282493
Berhane Gebreslassie, A. Kelam, A. Zayegh
Renewable energy, also known as green power is becoming the key solution to tackle the energy crisis and the Carbon Dioxide Emission (CO2e). In addition, renewable energies plays a significant role in removing CO2 (negative emission). The consequences are decreasing the impact of global greenhouse emissions. However, the renewable energy has its own difficulties and challenges. Currently, there are numbers of renewable energy sources practically proven, but the most commercially ones are; hydro, wind and Photovoltaic (PV). The basic PV cell efficiencies are significantly low ranging from 5 to 20%. Current literature review of PV cell efficiencies are showing that, numbers of practical attempts are able to improve the efficiency of PV cells up to a maximum of 42% in cold climate and 8% in hot climate using intelligent mechatronic system method. However, this type of method is found to be quite expensive to implement, as it adds significant amount of costs to the manufacturer's prices. This research project is to develop alternative method to ease the process of increasing the PV cell efficiencies and also to reduce the extra costs. In this method, PV cells are designed and modelled using simulation software applications, Auto-desk Revit and Dynamo (script programing language) and results are analyzed to satisfy the target of PV cell efficiencies.
{"title":"Energy saving, in commercial building by improving photovoltaic cell efficiency","authors":"Berhane Gebreslassie, A. Kelam, A. Zayegh","doi":"10.1109/AUPEC.2017.8282493","DOIUrl":"https://doi.org/10.1109/AUPEC.2017.8282493","url":null,"abstract":"Renewable energy, also known as green power is becoming the key solution to tackle the energy crisis and the Carbon Dioxide Emission (CO2e). In addition, renewable energies plays a significant role in removing CO2 (negative emission). The consequences are decreasing the impact of global greenhouse emissions. However, the renewable energy has its own difficulties and challenges. Currently, there are numbers of renewable energy sources practically proven, but the most commercially ones are; hydro, wind and Photovoltaic (PV). The basic PV cell efficiencies are significantly low ranging from 5 to 20%. Current literature review of PV cell efficiencies are showing that, numbers of practical attempts are able to improve the efficiency of PV cells up to a maximum of 42% in cold climate and 8% in hot climate using intelligent mechatronic system method. However, this type of method is found to be quite expensive to implement, as it adds significant amount of costs to the manufacturer's prices. This research project is to develop alternative method to ease the process of increasing the PV cell efficiencies and also to reduce the extra costs. In this method, PV cells are designed and modelled using simulation software applications, Auto-desk Revit and Dynamo (script programing language) and results are analyzed to satisfy the target of PV cell efficiencies.","PeriodicalId":155608,"journal":{"name":"2017 Australasian Universities Power Engineering Conference (AUPEC)","volume":"69 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":"127403596","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.2017.8282450
Alberto Jose Sarnari, R. Zivanovic
The paper presents the use of Newton-Raphson (N-R) method combined with the discrete Fourier transform and robust Padé approximation (NR-DFT-Padé) to obtain the saddle-node bifurcation points (voltage stability limit) and the high voltage solution branch for load buses of a power system. This is of potential great advantage to existing N-R based software users because the problem of Jacobian matrix singularity at the voltage collapse point is avoided. A comparison with both, the holomorphic embedding load flow method (HELM) and exact bus values, is presented. It shows that the NR-DFT-Padé method extrapolation has a close approach to the saddle-node bifurcation points (SNBP).
{"title":"Reliable steady state voltage stability limit estimation using Newton-Raphson-based method","authors":"Alberto Jose Sarnari, R. Zivanovic","doi":"10.1109/AUPEC.2017.8282450","DOIUrl":"https://doi.org/10.1109/AUPEC.2017.8282450","url":null,"abstract":"The paper presents the use of Newton-Raphson (N-R) method combined with the discrete Fourier transform and robust Padé approximation (NR-DFT-Padé) to obtain the saddle-node bifurcation points (voltage stability limit) and the high voltage solution branch for load buses of a power system. This is of potential great advantage to existing N-R based software users because the problem of Jacobian matrix singularity at the voltage collapse point is avoided. A comparison with both, the holomorphic embedding load flow method (HELM) and exact bus values, is presented. It shows that the NR-DFT-Padé method extrapolation has a close approach to the saddle-node bifurcation points (SNBP).","PeriodicalId":155608,"journal":{"name":"2017 Australasian Universities Power Engineering Conference (AUPEC)","volume":"26 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":"127795332","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.2017.8282394
Ali Rostami, A. Jalilian, Seyed Behzad Naderi, M. Negnevitsky, P. Davari, F. Blaabjerg
Islanding operation is one of serious hazards of distributed generation (DG) applications. According to IEEE 1547 standard, its occurrence must be detected within two seconds. This paper presents a novel passive islanding detection method based on rate of change of positive sequence component of voltage (RCPSV) and rate of change of positive sequence component of current (RCPSC) acquired at point of common coupling (PCC) of the targeted DG. Whenever the RCPSC and RCPSV are not equal to zero, their change of magnitudes is continuously compared to predetermined threshold values. If both values of RCPSC and RCPSV exceed the predetermined threshold values, it is concluded that the islanding condition has occurred. Otherwise, it is considered as a non-islanding event. The performance of the proposed method is investigated on a sample network in the presence of doubly fed induction generator (DFIG) based wind turbine and synchronous diesel generator DGs by MATLAB/Simulink software. Different non-islanding case studies are taken into account to evaluate the effectiveness of the proposed approach. The simulation results show that the proposed method has advantage of detecting the islanding rapidly and accurately even with zero non-detection zone (NDZ).
{"title":"A novel passive islanding detection scheme for distributed generations based on rate of change of positive sequence component of voltage and current","authors":"Ali Rostami, A. Jalilian, Seyed Behzad Naderi, M. Negnevitsky, P. Davari, F. Blaabjerg","doi":"10.1109/AUPEC.2017.8282394","DOIUrl":"https://doi.org/10.1109/AUPEC.2017.8282394","url":null,"abstract":"Islanding operation is one of serious hazards of distributed generation (DG) applications. According to IEEE 1547 standard, its occurrence must be detected within two seconds. This paper presents a novel passive islanding detection method based on rate of change of positive sequence component of voltage (RCPSV) and rate of change of positive sequence component of current (RCPSC) acquired at point of common coupling (PCC) of the targeted DG. Whenever the RCPSC and RCPSV are not equal to zero, their change of magnitudes is continuously compared to predetermined threshold values. If both values of RCPSC and RCPSV exceed the predetermined threshold values, it is concluded that the islanding condition has occurred. Otherwise, it is considered as a non-islanding event. The performance of the proposed method is investigated on a sample network in the presence of doubly fed induction generator (DFIG) based wind turbine and synchronous diesel generator DGs by MATLAB/Simulink software. Different non-islanding case studies are taken into account to evaluate the effectiveness of the proposed approach. The simulation results show that the proposed method has advantage of detecting the islanding rapidly and accurately even with zero non-detection zone (NDZ).","PeriodicalId":155608,"journal":{"name":"2017 Australasian Universities Power Engineering Conference (AUPEC)","volume":"37 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":"128945693","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.2017.8282465
U. Datta, Akhtar Kalam, Juan Shi
Power system stability has become a great concern with the increased power flows across the transmission system. Battery energy storage system (BESS) has widely been used and long been acknowledged that it can significantly contribute in stable power system operation and control. This paper investigates a large-scale power system transient stability improvement by incorporating a large size BESS. Faults have been applied to find the maximum active power transfer limit across the transmission line. The control of BESS is so designed that battery charging/discharging is based on the nominal system frequency as a reference. In addition, faults on the DC side of BESS are also studied to determine their impact on the connected AC system stability. MATLAB/SIMULINK based simulation has been carried out to demonstrate the capability of BESS for providing stability support and also reducing DC faults impact on the connected AC system stability.
{"title":"Battery energy storage system for transient frequency stability enhancement of a large-scale power system","authors":"U. Datta, Akhtar Kalam, Juan Shi","doi":"10.1109/AUPEC.2017.8282465","DOIUrl":"https://doi.org/10.1109/AUPEC.2017.8282465","url":null,"abstract":"Power system stability has become a great concern with the increased power flows across the transmission system. Battery energy storage system (BESS) has widely been used and long been acknowledged that it can significantly contribute in stable power system operation and control. This paper investigates a large-scale power system transient stability improvement by incorporating a large size BESS. Faults have been applied to find the maximum active power transfer limit across the transmission line. The control of BESS is so designed that battery charging/discharging is based on the nominal system frequency as a reference. In addition, faults on the DC side of BESS are also studied to determine their impact on the connected AC system stability. MATLAB/SIMULINK based simulation has been carried out to demonstrate the capability of BESS for providing stability support and also reducing DC faults impact on the connected AC system stability.","PeriodicalId":155608,"journal":{"name":"2017 Australasian Universities Power Engineering Conference (AUPEC)","volume":"33 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":"117043795","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.2017.8282467
U. Datta, Akhtar Kalam, Juan Shi
Intermittent nature of wind power impacts negatively on power system stability, reliability and power quality. These phenomenon challenges the large-scale wind power integration to the electric grid. The Battery Energy Storage System (BESS) can contribute to the mitigation of the intermittency behavior of wind power output, which provides added benefit in large-scale integration of wind farms. This paper proposes a dual control strategy of BESS for Doubly Fed Induction Generator (DFIG) based wind farm output power smoothing to provide nearly constant power at wind farm's output terminal. Dual control of two-stage BESS charging/discharging allows regulating the wind farm power to be as smooth as possible.
{"title":"An approach in dual-control of battery energy storage systems in windfarm output power smoothing","authors":"U. Datta, Akhtar Kalam, Juan Shi","doi":"10.1109/AUPEC.2017.8282467","DOIUrl":"https://doi.org/10.1109/AUPEC.2017.8282467","url":null,"abstract":"Intermittent nature of wind power impacts negatively on power system stability, reliability and power quality. These phenomenon challenges the large-scale wind power integration to the electric grid. The Battery Energy Storage System (BESS) can contribute to the mitigation of the intermittency behavior of wind power output, which provides added benefit in large-scale integration of wind farms. This paper proposes a dual control strategy of BESS for Doubly Fed Induction Generator (DFIG) based wind farm output power smoothing to provide nearly constant power at wind farm's output terminal. Dual control of two-stage BESS charging/discharging allows regulating the wind farm power to be as smooth as possible.","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":"122986354","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.2017.8282429
S. Ferdous, G. Shafiullah, Mohammad Abdul Moin Oninda, Md. A. Shoeb, T. Jamal
Conventional RCC uses Type-I compensator or Integrator which cannot track the Maximum Power Point (MPP) for all the operating condition without Adaptive Gain Tuning. The Type-II compensator based closed loop control scheme of the proposed MPPT makes it robust against all types of disturbances, panel and plant parameter variations. The RCC technique is very simple to implement and the total MPPT controller can be easily implemented using analog circuitry only. However, the challenge lies in designing the compensator as the RCC technique, along with PV panel, exhibits highly non-linear dynamics. Conventional Bode plot technique is used for designing the compensator where the plant parameters (Gain and Phase) are obtained by perturbing the panel operation around the MPP at crossover frequency. This paper proposes a compensator based implementation of Dynamic Maximum Power Point Tracking (MPPT) for rapidly changing irradiation and load variation using Ripple Correlation Control (RCC) technique. The proposed control scheme has a very fast convergence and is very prompt in tracking irradiance variation and load disturbance rejection. The efficacy of the proposed MPPT and the compensator are verified by simulation.
{"title":"Close loop compensation technique for high performance MPPT using ripple correlation control","authors":"S. Ferdous, G. Shafiullah, Mohammad Abdul Moin Oninda, Md. A. Shoeb, T. Jamal","doi":"10.1109/AUPEC.2017.8282429","DOIUrl":"https://doi.org/10.1109/AUPEC.2017.8282429","url":null,"abstract":"Conventional RCC uses Type-I compensator or Integrator which cannot track the Maximum Power Point (MPP) for all the operating condition without Adaptive Gain Tuning. The Type-II compensator based closed loop control scheme of the proposed MPPT makes it robust against all types of disturbances, panel and plant parameter variations. The RCC technique is very simple to implement and the total MPPT controller can be easily implemented using analog circuitry only. However, the challenge lies in designing the compensator as the RCC technique, along with PV panel, exhibits highly non-linear dynamics. Conventional Bode plot technique is used for designing the compensator where the plant parameters (Gain and Phase) are obtained by perturbing the panel operation around the MPP at crossover frequency. This paper proposes a compensator based implementation of Dynamic Maximum Power Point Tracking (MPPT) for rapidly changing irradiation and load variation using Ripple Correlation Control (RCC) technique. The proposed control scheme has a very fast convergence and is very prompt in tracking irradiance variation and load disturbance rejection. The efficacy of the proposed MPPT and the compensator are verified by simulation.","PeriodicalId":155608,"journal":{"name":"2017 Australasian Universities Power Engineering Conference (AUPEC)","volume":"38 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":"115297192","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.2017.8282475
M. Batool, S. Islam, Farhad Shahnia
Large remote area networks normally have self-suffi-cient electricity systems. These systems also rely on non-dispatchable DGs (N-DGs) for overall reduction in cost of electricity production. It is a fact that uncertainties included in the nature of N-DGs as well as load demand can cause cost burden on islanded microgrids (MGs). This paper proposes development of power exchange strategy for an interconnected MGs (IMG) system as part of large remote area network with optimized controls of dispatchable (D-DGs) which are members of master control unit (MCU). MCU analysis includes equal cost increment principle to give idea about the amount of power exchange which could take place with neighbor MGs in case of overloading situation. Sudden changes in N-DGs and load are defined as interruptions and are part of analysis too. Optimization problem is formulated on the basis of MCU adjustment for overloading or under loading situation and suitability of support MG (S-MG) in IMG system for power exchange along with key features of low cost and minimum technical impacts. Mixed integer linear programming (MILP) technique is applied to solve the formulated problem. The impact of proposed strategy is assessed by numerical analysis in MATLAB programming under stochastic environment.
{"title":"Master control unit based power exchange strategy for interconnected microgrids","authors":"M. Batool, S. Islam, Farhad Shahnia","doi":"10.1109/AUPEC.2017.8282475","DOIUrl":"https://doi.org/10.1109/AUPEC.2017.8282475","url":null,"abstract":"Large remote area networks normally have self-suffi-cient electricity systems. These systems also rely on non-dispatchable DGs (N-DGs) for overall reduction in cost of electricity production. It is a fact that uncertainties included in the nature of N-DGs as well as load demand can cause cost burden on islanded microgrids (MGs). This paper proposes development of power exchange strategy for an interconnected MGs (IMG) system as part of large remote area network with optimized controls of dispatchable (D-DGs) which are members of master control unit (MCU). MCU analysis includes equal cost increment principle to give idea about the amount of power exchange which could take place with neighbor MGs in case of overloading situation. Sudden changes in N-DGs and load are defined as interruptions and are part of analysis too. Optimization problem is formulated on the basis of MCU adjustment for overloading or under loading situation and suitability of support MG (S-MG) in IMG system for power exchange along with key features of low cost and minimum technical impacts. Mixed integer linear programming (MILP) technique is applied to solve the formulated problem. The impact of proposed strategy is assessed by numerical analysis in MATLAB programming under stochastic environment.","PeriodicalId":155608,"journal":{"name":"2017 Australasian Universities Power Engineering Conference (AUPEC)","volume":"2012 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":"132057895","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.2017.8282400
M. N. Akter, M. A. Mahmud, M. E. Haque, A. Oo
This paper presents a comparative analysis for energy trading priorities among different consumers and prosumers in a residential microgrid. The transactive energy trading frameworks are considered based on two approaches where all houses in a residential microgrid participate in trading energy among themselves before the energy transactions with the main power grid. The first approach is mainly based on the energy shortage of different houses where the energy transactions among different houses occur based on a pre-defined strategy, e.g., priorities are given to some specific houses at a defined rate. The second approach is developed by formulating a competitive and open transactive energy market using a game theoretic approach with a multi-player game to provide more flexibilities to the participants. A comparative analysis is provided between these two approaches, by considering a residential microgrid in Australian contexts, in terms of flexibility index and saving electricity bills. It is found that the second approach provides more flexibilities to the participants though there are not much differences in saving electricity bills.
{"title":"Comparative analysis of energy trading priorities based on open transactive energy markets in residential microgrids","authors":"M. N. Akter, M. A. Mahmud, M. E. Haque, A. Oo","doi":"10.1109/AUPEC.2017.8282400","DOIUrl":"https://doi.org/10.1109/AUPEC.2017.8282400","url":null,"abstract":"This paper presents a comparative analysis for energy trading priorities among different consumers and prosumers in a residential microgrid. The transactive energy trading frameworks are considered based on two approaches where all houses in a residential microgrid participate in trading energy among themselves before the energy transactions with the main power grid. The first approach is mainly based on the energy shortage of different houses where the energy transactions among different houses occur based on a pre-defined strategy, e.g., priorities are given to some specific houses at a defined rate. The second approach is developed by formulating a competitive and open transactive energy market using a game theoretic approach with a multi-player game to provide more flexibilities to the participants. A comparative analysis is provided between these two approaches, by considering a residential microgrid in Australian contexts, in terms of flexibility index and saving electricity bills. It is found that the second approach provides more flexibilities to the participants though there are not much differences in saving electricity bills.","PeriodicalId":155608,"journal":{"name":"2017 Australasian Universities Power Engineering Conference (AUPEC)","volume":"106 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":"123714367","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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