Pub Date : 2017-11-01DOI: 10.1109/AUPEC.2017.8282395
Seyed Behzad Naderi, M. Jafari, Amir Zandnia, A. Jalilian, P. Davari, M. Negnevitsky, F. Blaabjerg
In this paper, a capacitor switching transient limiter based on a three phase variable resistance is proposed. The proposed structure eliminates the capacitor switching transient current and over-voltage by introducing a variable resistance to the current path with its special switching pattern. This topology has high damping capability due to its resistance nature and low voltage drop and low power losses due to complete bypass of its resistor. Therefore, it does not need auxiliary circuit to compensate voltage drop in normal condition. Also, because of smooth bypass of resistance, it does not make transients on capacitor after bypassing. Analytic Analyses for this structure in transient cases are presented in details and simulations are performed by MATLAB software to prove its effectiveness.
{"title":"Investigation on capacitor switching transient limiter with a three phase variable resistance","authors":"Seyed Behzad Naderi, M. Jafari, Amir Zandnia, A. Jalilian, P. Davari, M. Negnevitsky, F. Blaabjerg","doi":"10.1109/AUPEC.2017.8282395","DOIUrl":"https://doi.org/10.1109/AUPEC.2017.8282395","url":null,"abstract":"In this paper, a capacitor switching transient limiter based on a three phase variable resistance is proposed. The proposed structure eliminates the capacitor switching transient current and over-voltage by introducing a variable resistance to the current path with its special switching pattern. This topology has high damping capability due to its resistance nature and low voltage drop and low power losses due to complete bypass of its resistor. Therefore, it does not need auxiliary circuit to compensate voltage drop in normal condition. Also, because of smooth bypass of resistance, it does not make transients on capacitor after bypassing. Analytic Analyses for this structure in transient cases are presented in details and simulations are performed by MATLAB software to prove its effectiveness.","PeriodicalId":155608,"journal":{"name":"2017 Australasian Universities Power Engineering Conference (AUPEC)","volume":"34 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":"116344212","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.2017.8282442
Ruidong Liu, G. Verbič, Yan Xu
Dynamic security assessment provides system operators with vital information for possible preventive or emergency control to prevent security problems. In some cases, power system topology change deteriorates intelligent system-based online stability assessment performance. In this paper, we propose a new online assessment scheme to improve classification performance reliability of dynamic transient stability assessment. In the new scheme, we use an intelligent system consisting an ensemble of neural networks based on extreme learning machine. A new feature selection algorithm combining filter type method RRelief-F and wrapper type method Sequential Floating Forward Selection is proposed. Boosting learning algorithm is used in intelligent system training process which leads to higher classification accuracy. Moreover, we propose a new classification rule using weighted outputs of predictors in the ensemble helps to achieve 100% transient stability prediction in our case study.
{"title":"A new reliability-driven intelligent system for power system dynamic security assessment","authors":"Ruidong Liu, G. Verbič, Yan Xu","doi":"10.1109/AUPEC.2017.8282442","DOIUrl":"https://doi.org/10.1109/AUPEC.2017.8282442","url":null,"abstract":"Dynamic security assessment provides system operators with vital information for possible preventive or emergency control to prevent security problems. In some cases, power system topology change deteriorates intelligent system-based online stability assessment performance. In this paper, we propose a new online assessment scheme to improve classification performance reliability of dynamic transient stability assessment. In the new scheme, we use an intelligent system consisting an ensemble of neural networks based on extreme learning machine. A new feature selection algorithm combining filter type method RRelief-F and wrapper type method Sequential Floating Forward Selection is proposed. Boosting learning algorithm is used in intelligent system training process which leads to higher classification accuracy. Moreover, we propose a new classification rule using weighted outputs of predictors in the ensemble helps to achieve 100% transient stability prediction in our case study.","PeriodicalId":155608,"journal":{"name":"2017 Australasian Universities Power Engineering Conference (AUPEC)","volume":"36 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":"123508389","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.2017.8282473
Ahvand Jalali, M. Aldeen
Voltage stability (VS) has turned into an impending menace for heavily-loaded renewable-rich power systems. This necessitates more intelligent measures to be taken in order to maintain VS of power systems, despite various loads' characteristics and variations of renewable energy resources. Grid integration of large-scale energy storage systems (ESSs) has recently been considered as an effective means of enhancing the efficiency and reliability of power systems. In this paper, the use of ESS devices to dynamically preserve a prescribed level of VS for power systems is investigated. The objectives of this paper are to (i) optimally compute and (ii) dynamically control the required active and reactive power compensation by the ESSs such that a desired voltage stability margin (VSM) is always ensured. The single-contingency criterion has also been considered in this study. The effectiveness of the proposed approach in maintaining the system's short-term VS is evaluated through case studies, considering both constant-power and voltage-dependent loads.
{"title":"Dynamic voltage stability procurement of power systems using energy storage devices","authors":"Ahvand Jalali, M. Aldeen","doi":"10.1109/AUPEC.2017.8282473","DOIUrl":"https://doi.org/10.1109/AUPEC.2017.8282473","url":null,"abstract":"Voltage stability (VS) has turned into an impending menace for heavily-loaded renewable-rich power systems. This necessitates more intelligent measures to be taken in order to maintain VS of power systems, despite various loads' characteristics and variations of renewable energy resources. Grid integration of large-scale energy storage systems (ESSs) has recently been considered as an effective means of enhancing the efficiency and reliability of power systems. In this paper, the use of ESS devices to dynamically preserve a prescribed level of VS for power systems is investigated. The objectives of this paper are to (i) optimally compute and (ii) dynamically control the required active and reactive power compensation by the ESSs such that a desired voltage stability margin (VSM) is always ensured. The single-contingency criterion has also been considered in this study. The effectiveness of the proposed approach in maintaining the system's short-term VS is evaluated through case studies, considering both constant-power and voltage-dependent loads.","PeriodicalId":155608,"journal":{"name":"2017 Australasian Universities Power Engineering Conference (AUPEC)","volume":"22 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":"128370858","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.2017.8282494
Eddie Yatiyana, S. Rajakaruna, A. Ghosh
Wind Power plays a major role in both large utility grids and small microgrids due to a wide range of socio-economic benefits. Due to this reason, current research has an emerging trend to enhance its reliability and usability. Highly random nature of the wind speed and direction leads to having a poor accuracy of wind power forecasting and thereby poor reliability, increased cost and reduced efficiency of electrical systems. Most updated studies are focused mainly on wind speed, and their prediction errors are above the industry expectations. In this paper, both the wind speed and wind direction are analyzed to develop a statistical model based forecasting technique. This paper uses an Autoregressive Integrated Moving Average method to build the estimating model for wind measured in Western Australia to yield the forecasted values. The resultant model can be used to improve the system reliability, quality of the wind power generation system.
{"title":"Wind speed and direction forecasting for wind power generation using ARIMA model","authors":"Eddie Yatiyana, S. Rajakaruna, A. Ghosh","doi":"10.1109/AUPEC.2017.8282494","DOIUrl":"https://doi.org/10.1109/AUPEC.2017.8282494","url":null,"abstract":"Wind Power plays a major role in both large utility grids and small microgrids due to a wide range of socio-economic benefits. Due to this reason, current research has an emerging trend to enhance its reliability and usability. Highly random nature of the wind speed and direction leads to having a poor accuracy of wind power forecasting and thereby poor reliability, increased cost and reduced efficiency of electrical systems. Most updated studies are focused mainly on wind speed, and their prediction errors are above the industry expectations. In this paper, both the wind speed and wind direction are analyzed to develop a statistical model based forecasting technique. This paper uses an Autoregressive Integrated Moving Average method to build the estimating model for wind measured in Western Australia to yield the forecasted values. The resultant model can be used to improve the system reliability, quality of the wind power generation system.","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":"127175477","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.2017.8282402
Z. Wang, N. Das, A. Helwig, T. Ahfock
This paper presents the basic principles of solar cells/ panels and explores its different models, such as single and double diode models. The main purpose of this research is to confirm that the principle of multi-junction solar cell (MJSC) operation to improve the conversion efficiency. To perform this simulation, single and double diode models have been developed. The process was ultimately utilized to find the influence of irradiance and temperature in electricity generation. In addition, the ideality factor and the impact of resistance on conversion efficiency also have been investigated. Maximum power point tracking (MPPT) method was used and optimized to improve the MJSCs performance for conversion efficiency improvement. The I-V and P-V curves show that double diode model produced more accurate results than the single diode model. The MJSCs expand the band gap and reduce the temperature influence in simulation to increase the energy conversion efficiency using the optimized MPPT method.
{"title":"Modeling of multi-junction solar cells for maximum power point tracking to improve the conversion efficiency","authors":"Z. Wang, N. Das, A. Helwig, T. Ahfock","doi":"10.1109/AUPEC.2017.8282402","DOIUrl":"https://doi.org/10.1109/AUPEC.2017.8282402","url":null,"abstract":"This paper presents the basic principles of solar cells/ panels and explores its different models, such as single and double diode models. The main purpose of this research is to confirm that the principle of multi-junction solar cell (MJSC) operation to improve the conversion efficiency. To perform this simulation, single and double diode models have been developed. The process was ultimately utilized to find the influence of irradiance and temperature in electricity generation. In addition, the ideality factor and the impact of resistance on conversion efficiency also have been investigated. Maximum power point tracking (MPPT) method was used and optimized to improve the MJSCs performance for conversion efficiency improvement. The I-V and P-V curves show that double diode model produced more accurate results than the single diode model. The MJSCs expand the band gap and reduce the temperature influence in simulation to increase the energy conversion efficiency using the optimized MPPT method.","PeriodicalId":155608,"journal":{"name":"2017 Australasian Universities Power Engineering Conference (AUPEC)","volume":"36 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":"114698154","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.2017.8282418
C. K. Chanda, J. Pal, Bishaljit Paul, M. Pathak
To maximize both the social benefits of the customers and the efficiency of the transmission network system, the constraints of the transmission networks and the security level of the power system must be essentially controlled. In a competitive power market, congestion problem becomes an obstacle since it directly influences nodal pricing at various buses in the system. To keep a flat price profile at every node, dispatching of generating units and also load curtailment in a system may be required. Different pricing at every node or LMPs (Locational Marginal Price) are due to congestion of the network. The LMP at any node is the total cost of the incremental outputs of the marginal generators to deliver one unit of energy at that node without increasing the flow of the congested line. This paper presents a novel method to minimize total cost in respect of flow tariff, load costs, generator bids, zero congestion surplus and choosing properly the reference bus in a highly congested power system network. An improved LMP has been defined in this context which takes into account all of the above factors. The LMPs are calculated by incorporating Shift Factor (SF) based DC-Optimal power flow (DC-OPF) model. The proposed method has been applied in a four bus network and the results obtained have been found to be capable of eradicating the local market power monopoly in a system.
{"title":"On transmission congestion management strategies and forecasting locational marginal prices in a deregulated competitive power market","authors":"C. K. Chanda, J. Pal, Bishaljit Paul, M. Pathak","doi":"10.1109/AUPEC.2017.8282418","DOIUrl":"https://doi.org/10.1109/AUPEC.2017.8282418","url":null,"abstract":"To maximize both the social benefits of the customers and the efficiency of the transmission network system, the constraints of the transmission networks and the security level of the power system must be essentially controlled. In a competitive power market, congestion problem becomes an obstacle since it directly influences nodal pricing at various buses in the system. To keep a flat price profile at every node, dispatching of generating units and also load curtailment in a system may be required. Different pricing at every node or LMPs (Locational Marginal Price) are due to congestion of the network. The LMP at any node is the total cost of the incremental outputs of the marginal generators to deliver one unit of energy at that node without increasing the flow of the congested line. This paper presents a novel method to minimize total cost in respect of flow tariff, load costs, generator bids, zero congestion surplus and choosing properly the reference bus in a highly congested power system network. An improved LMP has been defined in this context which takes into account all of the above factors. The LMPs are calculated by incorporating Shift Factor (SF) based DC-Optimal power flow (DC-OPF) model. The proposed method has been applied in a four bus network and the results obtained have been found to be capable of eradicating the local market power monopoly in a system.","PeriodicalId":155608,"journal":{"name":"2017 Australasian Universities Power Engineering Conference (AUPEC)","volume":"3 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":"121997146","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.2017.8282491
M. Hasan, A. Abu‐Siada, S. Islam, S. Muyeen
Cascaded multilevel inverters (MLI) have recently received much attention due to its ability to perform well in various high voltage and high power applications with high efficiency. Cascaded inverters are able to generate high voltage output by utilizing a number of low voltage DC supplies and switches of low blocking voltage rating, which make cascaded MLI a cost effective choice for high voltage/power applications. The main drawback of cascaded MLI is the requirement of large number of isolated DC sources particularly, for three phase applications where the number of required input DC sources is three times that of single phase structure. In addition to the extra cost it will incur, the use of large number of DC supplies within the inverter will significantly increase its physical size, and complicate the management of such large number of DC sources. This paper presents a new topology for three phase MLI with a minimum number of input DC supplies. Symmetric and asymmetric input DC supply modes are developed for the proposed topology. Simulation and experimental results are provided to assess the performance of the proposed MLI topology.
{"title":"A three-phase half-bridge cascaded inverter with reduced number of input DC supply","authors":"M. Hasan, A. Abu‐Siada, S. Islam, S. Muyeen","doi":"10.1109/AUPEC.2017.8282491","DOIUrl":"https://doi.org/10.1109/AUPEC.2017.8282491","url":null,"abstract":"Cascaded multilevel inverters (MLI) have recently received much attention due to its ability to perform well in various high voltage and high power applications with high efficiency. Cascaded inverters are able to generate high voltage output by utilizing a number of low voltage DC supplies and switches of low blocking voltage rating, which make cascaded MLI a cost effective choice for high voltage/power applications. The main drawback of cascaded MLI is the requirement of large number of isolated DC sources particularly, for three phase applications where the number of required input DC sources is three times that of single phase structure. In addition to the extra cost it will incur, the use of large number of DC supplies within the inverter will significantly increase its physical size, and complicate the management of such large number of DC sources. This paper presents a new topology for three phase MLI with a minimum number of input DC supplies. Symmetric and asymmetric input DC supply modes are developed for the proposed topology. Simulation and experimental results are provided to assess the performance of the proposed MLI topology.","PeriodicalId":155608,"journal":{"name":"2017 Australasian Universities Power Engineering Conference (AUPEC)","volume":"43 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":"125599279","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.2017.8282451
Mandeep Kaur, Y. P. Verma, M. Sharma, A. Manocha
Microgrid (MG) has emerged as a new paradigm for effective integration of intermittent Renewable Energy Sources (RESs) and to meet increase in energy demand. With the advancement in control and telecommunication technology, consumers can participate in the energy market. But with the restructuring of power market, MG faces the problem of developing optimal bidding strategies to maximize its profit. In this paper, optimization based self-scheduling and strategy for bidding of MG in day ahead energy market is proposed to maximize utilities benefit. A low voltage 14-bus system having generating resources like solar, pumped hydro, wind and diesel generator including different types of consumers is considered for investigation. The role of consumers has been investigated for the system scheduling and in bidding process. The analysis shows that the consumers can play vital role in determining the optimal scheduling and bidding strategy of MG for participation in the energy market which not only maximizes its benefit but also reduces the burden on grid.
{"title":"Self-scheduling and bidding strategy of microgrid with demand side participation in power market","authors":"Mandeep Kaur, Y. P. Verma, M. Sharma, A. Manocha","doi":"10.1109/AUPEC.2017.8282451","DOIUrl":"https://doi.org/10.1109/AUPEC.2017.8282451","url":null,"abstract":"Microgrid (MG) has emerged as a new paradigm for effective integration of intermittent Renewable Energy Sources (RESs) and to meet increase in energy demand. With the advancement in control and telecommunication technology, consumers can participate in the energy market. But with the restructuring of power market, MG faces the problem of developing optimal bidding strategies to maximize its profit. In this paper, optimization based self-scheduling and strategy for bidding of MG in day ahead energy market is proposed to maximize utilities benefit. A low voltage 14-bus system having generating resources like solar, pumped hydro, wind and diesel generator including different types of consumers is considered for investigation. The role of consumers has been investigated for the system scheduling and in bidding process. The analysis shows that the consumers can play vital role in determining the optimal scheduling and bidding strategy of MG for participation in the energy market which not only maximizes its benefit but also reduces the burden on grid.","PeriodicalId":155608,"journal":{"name":"2017 Australasian Universities Power Engineering Conference (AUPEC)","volume":"44 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":"133592893","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.2017.8282404
Sebastián Püschel-L⊘vengreen, P. Mancarella
There is increasing concern about the security implications of running a low-inertia power system resulting from the extensive penetration of variable renewable energy sources that are connected through power electronic interface. In this context, this paper focuses on the analysis of frequency response adequacy of the power system operated by National Electricity Market (NEM) in Australia. Frequency response adequacy refers to the capability of a given portfolio of resources to maintain the frequency excursion characteristics within certain limits following a contingency event. Analysis for both generation and transmission contingencies events is conducted, with reference to the whole NEM and to South Australia as specific case studies. The analysis aims to provide clear insights into the relation between system inertia, frequency control ancillary services (FCAS), and the maximum allowed limits of the frequency excursion after contingency. To this end, specific frequency response security maps are introduced as a tool to represent the frequency excursion limits on a primary frequency response vs inertia chart. Several system conditions are studied, with results illustrating fundamental system limits with regards to secure operation, as well as exemplifying potential ways to reduce the frequency stability risk of the future NEM.
{"title":"Mapping the frequency response adequacy of the Australian national electricity market","authors":"Sebastián Püschel-L⊘vengreen, P. Mancarella","doi":"10.1109/AUPEC.2017.8282404","DOIUrl":"https://doi.org/10.1109/AUPEC.2017.8282404","url":null,"abstract":"There is increasing concern about the security implications of running a low-inertia power system resulting from the extensive penetration of variable renewable energy sources that are connected through power electronic interface. In this context, this paper focuses on the analysis of frequency response adequacy of the power system operated by National Electricity Market (NEM) in Australia. Frequency response adequacy refers to the capability of a given portfolio of resources to maintain the frequency excursion characteristics within certain limits following a contingency event. Analysis for both generation and transmission contingencies events is conducted, with reference to the whole NEM and to South Australia as specific case studies. The analysis aims to provide clear insights into the relation between system inertia, frequency control ancillary services (FCAS), and the maximum allowed limits of the frequency excursion after contingency. To this end, specific frequency response security maps are introduced as a tool to represent the frequency excursion limits on a primary frequency response vs inertia chart. Several system conditions are studied, with results illustrating fundamental system limits with regards to secure operation, as well as exemplifying potential ways to reduce the frequency stability risk of the future NEM.","PeriodicalId":155608,"journal":{"name":"2017 Australasian Universities Power Engineering Conference (AUPEC)","volume":"141 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":"131906497","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.2017.8282511
A. Kharrazi, V. Sreeram, Yateendra Mishra
This paper proposes a solution to the electric Vehicle Scheduling Problem (eVSP) based on the framework of Discrete Event System (DES). A supervisory control is synthesized using the theory of Supervisory Control of Discrete Event System (SCDES) to manage the power admission control of a group of local Plug-in Electric Vehicles (PEV). The PEVs are categorized based on their level of priority to be charged and an algorithm is developed to allocate power to PEVs according to their priority and available capacity. The proposed algorithm and supervisor validates the schedulability of charging of PEVs while meeting the constraint of the grid to achieve peak demand reduction. Simulation studies are carried out using MATLAB/Simulink and STATEFLOW toolkit and the result validates the effectiveness of the control scheme to reduce peak demand while providing fair charging schedules to PEVs.
{"title":"Power admission control of plug-in electric vehicles using supervisory control of discrete event system","authors":"A. Kharrazi, V. Sreeram, Yateendra Mishra","doi":"10.1109/AUPEC.2017.8282511","DOIUrl":"https://doi.org/10.1109/AUPEC.2017.8282511","url":null,"abstract":"This paper proposes a solution to the electric Vehicle Scheduling Problem (eVSP) based on the framework of Discrete Event System (DES). A supervisory control is synthesized using the theory of Supervisory Control of Discrete Event System (SCDES) to manage the power admission control of a group of local Plug-in Electric Vehicles (PEV). The PEVs are categorized based on their level of priority to be charged and an algorithm is developed to allocate power to PEVs according to their priority and available capacity. The proposed algorithm and supervisor validates the schedulability of charging of PEVs while meeting the constraint of the grid to achieve peak demand reduction. Simulation studies are carried out using MATLAB/Simulink and STATEFLOW toolkit and the result validates the effectiveness of the control scheme to reduce peak demand while providing fair charging schedules to PEVs.","PeriodicalId":155608,"journal":{"name":"2017 Australasian Universities Power Engineering Conference (AUPEC)","volume":"8 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":"132289641","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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