Pub Date : 2014-12-01DOI: 10.1109/SGC.2014.7150708
Fardin Dalvand, Asadollah Kalantar, Shoresh Shokoohi, H. Bevrani
Bearings are important components in induction motors. Bearing failures are actually the most frequent failures in this type of machines. Utilizing electrical signals and eliminating signals such as vibration is essential to reduce the cost of condition monitoring schemes of electrical machines in industry. In this paper, the instantaneous frequency of motor voltage is introduced to monitor bearings condition. By using this signal, for instance, the global kurtosis and crest factor are able to detect bearing defects in time-domain. In this work, envelope analysis of vibration signal is used to verify the existence of bearing defects. Experimental results show the effectiveness of the proposed bearing condition monitoring method.
{"title":"Time-domain bearing condition monitoring in induction motors using instantaneous frequency of motor voltage","authors":"Fardin Dalvand, Asadollah Kalantar, Shoresh Shokoohi, H. Bevrani","doi":"10.1109/SGC.2014.7150708","DOIUrl":"https://doi.org/10.1109/SGC.2014.7150708","url":null,"abstract":"Bearings are important components in induction motors. Bearing failures are actually the most frequent failures in this type of machines. Utilizing electrical signals and eliminating signals such as vibration is essential to reduce the cost of condition monitoring schemes of electrical machines in industry. In this paper, the instantaneous frequency of motor voltage is introduced to monitor bearings condition. By using this signal, for instance, the global kurtosis and crest factor are able to detect bearing defects in time-domain. In this work, envelope analysis of vibration signal is used to verify the existence of bearing defects. Experimental results show the effectiveness of the proposed bearing condition monitoring method.","PeriodicalId":341696,"journal":{"name":"2014 Smart Grid Conference (SGC)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126576555","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 : 2014-12-01DOI: 10.1109/SGC.2014.7090866
G. B. Gharehptian
Considering the importance of the role of microgrids in developing Smart Grids in the form of smart cities or islands, there is many attempts to model their behavior for different power system studies [1-2]. This paper tries to pay attention to the elements of microgrids, which have not been discussed in details in literature but they are important for estimation of the microgrids behavior under different circumstances. The paper focuses on three of these elements.
{"title":"Missed elements of microgrids","authors":"G. B. Gharehptian","doi":"10.1109/SGC.2014.7090866","DOIUrl":"https://doi.org/10.1109/SGC.2014.7090866","url":null,"abstract":"Considering the importance of the role of microgrids in developing Smart Grids in the form of smart cities or islands, there is many attempts to model their behavior for different power system studies [1-2]. This paper tries to pay attention to the elements of microgrids, which have not been discussed in details in literature but they are important for estimation of the microgrids behavior under different circumstances. The paper focuses on three of these elements.","PeriodicalId":341696,"journal":{"name":"2014 Smart Grid Conference (SGC)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131909786","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 : 2014-12-01DOI: 10.1109/SGC.2014.7090878
S. Abapour, K. Zare, M. Abapour
One of the main aims of distribution networks is increasing the participation of distributed generation. One of the methods that can determine the maximum penetration of DG in distribution network is use of active network management. Active network management has essential role to facilitate the connection of new generations without need of reinforcement traditional network. This paper proposes a multi- objective idea based on minimizing costs of active and reactive power of DGs and network. In addition, the mentioned objective function is includes cost of active power losses and reactive power generated (absorbed) by Reactive Power Compensators (RPC). The proposed objective function is determined based on optimal power flow and with considering the technical constraints. For active management of distribution network, coordinated control of voltage and reactive power of network equipment are implemented. Non-dominated Sorting Genetic Algorithm (NSGA II) is employed to solve the optimization problem.
{"title":"Application of active management in operation of distribution network using NSGA II","authors":"S. Abapour, K. Zare, M. Abapour","doi":"10.1109/SGC.2014.7090878","DOIUrl":"https://doi.org/10.1109/SGC.2014.7090878","url":null,"abstract":"One of the main aims of distribution networks is increasing the participation of distributed generation. One of the methods that can determine the maximum penetration of DG in distribution network is use of active network management. Active network management has essential role to facilitate the connection of new generations without need of reinforcement traditional network. This paper proposes a multi- objective idea based on minimizing costs of active and reactive power of DGs and network. In addition, the mentioned objective function is includes cost of active power losses and reactive power generated (absorbed) by Reactive Power Compensators (RPC). The proposed objective function is determined based on optimal power flow and with considering the technical constraints. For active management of distribution network, coordinated control of voltage and reactive power of network equipment are implemented. Non-dominated Sorting Genetic Algorithm (NSGA II) is employed to solve the optimization problem.","PeriodicalId":341696,"journal":{"name":"2014 Smart Grid Conference (SGC)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115680930","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 : 2014-12-01DOI: 10.1109/SGC.2014.7090886
Mahdi Habibidoost, Seyed Mohammad Taghi Bathaee
In this paper, a novel method is proposed, which detects the stochastic characteristics of vehicles connected to the network. Using statistical and machine learning formulas, a method to find the probability density function of random variables for each gridable vehicle is provided. The final purpose is to exploit these vehicles for self-healing characteristic of the Smart grid. The defined important random variables for this purpose are times that each vehicle connects to and disconnects from the network, and battery state of charge at the time of connection. For this purpose, the Bayesian inference algorithm and the expectation - maximization method have been modified. In this method, the parameters of distribution function are amended with respect to the evidenced behavior of the vehicle. Due to the learning ability of algorithms, by changing the usage pattern of the vehicle, the probability density function will also change gradually. After obtaining the values of parameters of distribution functions for each vehicle, by using them in combination with each other, the overall probability density functions can be obtained. Finally, we can combine these functions to find the probability density function of several other variables. In this paper, the random variables, which represent the energy of batteries of vehicles that can help on emergencies of the network in a probabilistic manner in different hours of afternoon, are obtained.
{"title":"PDF estimation of gridable vehicles for self-healing purpose","authors":"Mahdi Habibidoost, Seyed Mohammad Taghi Bathaee","doi":"10.1109/SGC.2014.7090886","DOIUrl":"https://doi.org/10.1109/SGC.2014.7090886","url":null,"abstract":"In this paper, a novel method is proposed, which detects the stochastic characteristics of vehicles connected to the network. Using statistical and machine learning formulas, a method to find the probability density function of random variables for each gridable vehicle is provided. The final purpose is to exploit these vehicles for self-healing characteristic of the Smart grid. The defined important random variables for this purpose are times that each vehicle connects to and disconnects from the network, and battery state of charge at the time of connection. For this purpose, the Bayesian inference algorithm and the expectation - maximization method have been modified. In this method, the parameters of distribution function are amended with respect to the evidenced behavior of the vehicle. Due to the learning ability of algorithms, by changing the usage pattern of the vehicle, the probability density function will also change gradually. After obtaining the values of parameters of distribution functions for each vehicle, by using them in combination with each other, the overall probability density functions can be obtained. Finally, we can combine these functions to find the probability density function of several other variables. In this paper, the random variables, which represent the energy of batteries of vehicles that can help on emergencies of the network in a probabilistic manner in different hours of afternoon, are obtained.","PeriodicalId":341696,"journal":{"name":"2014 Smart Grid Conference (SGC)","volume":"145 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122546017","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 : 2014-12-01DOI: 10.1109/SGC.2014.7090885
T. Kaboodi, J. Olamaei, H. Siahkali, Roozbeh Bita
The Distribution Feeder Reconfiguration (DFR) is among the most well-known reinforcement methods to improve the radial distribution capabilities. Optimal management of DFR problem can yield many advantages such as power loss reduction, load balance improvement, voltage profile enhancement, etc. Therefore, the main purpose of this paper is to investigate the positive effect of the DFR strategy on the network performance. In this regard, a new fuzzy-based interactive method based on modified particle swarm optimization (PSO) algorithm is suggested to study the multi-objective DFR problem deeply. The objective functions to be investigated are total active power losses, voltage deviation and load balance. Also, a fuzzy based interactive method is utilized to satisfy all the objective functions sufficiently. The idea of the fuzzy-based interactive method will let the operator to determine the satisfying degree of each objective function. The feasibility and effectiveness of the proposed method is examined on the 32-bus IEEE radial distribution system.
{"title":"Optimal distribution network reconfiguration using fuzzy interaction and MPSO algorithm","authors":"T. Kaboodi, J. Olamaei, H. Siahkali, Roozbeh Bita","doi":"10.1109/SGC.2014.7090885","DOIUrl":"https://doi.org/10.1109/SGC.2014.7090885","url":null,"abstract":"The Distribution Feeder Reconfiguration (DFR) is among the most well-known reinforcement methods to improve the radial distribution capabilities. Optimal management of DFR problem can yield many advantages such as power loss reduction, load balance improvement, voltage profile enhancement, etc. Therefore, the main purpose of this paper is to investigate the positive effect of the DFR strategy on the network performance. In this regard, a new fuzzy-based interactive method based on modified particle swarm optimization (PSO) algorithm is suggested to study the multi-objective DFR problem deeply. The objective functions to be investigated are total active power losses, voltage deviation and load balance. Also, a fuzzy based interactive method is utilized to satisfy all the objective functions sufficiently. The idea of the fuzzy-based interactive method will let the operator to determine the satisfying degree of each objective function. The feasibility and effectiveness of the proposed method is examined on the 32-bus IEEE radial distribution system.","PeriodicalId":341696,"journal":{"name":"2014 Smart Grid Conference (SGC)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128525301","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 : 2014-12-01DOI: 10.1109/SGC.2014.7090880
Seyed Sina Mousavi-Seyedi, F. Aminifar, Sina Azimi, Z. Garoosi
In nowadays power networks, transmission companies are faced with a drastic growth in the electrical energy demand. As a result, further utilization of existing transmission lines capacity is very essential. Dynamic thermal rating (DTR), which is based on the actual weather and pre-load conditions, has a potential to offer a significant increase in a given transmission line capacity. Two types of DTR calculation methods, namely on-line monitoring of line temperature and weather-based rating, are discussed in this paper. The first method is the main contribution of this work and the second one is only reviewed. In the first method, phasor measurement units (PMUs) data are used for estimation of transmission line parameters and its temperature. In this method, a non-linear weighted least-square (NWLS) based algorithm is adopted for the estimation process. The second method uses weather stations data such as wind speed, ambient air temperature, etc., for calculation of DTR. A typical transmission line is simulated in MATLAB Power System Toolbox to demonstrate the performance of the proposed method for on-line monitoring of line temperature.
在当今的电网中，输电公司面临着急剧增长的电能需求。因此，进一步利用现有输电线路的容量是非常必要的。动态热额定值(DTR)是基于实际天气和预负荷条件，有可能显著增加给定的输电线路容量。本文讨论了两种DTR计算方法，即在线监测线路温度和基于天气的额定值。第一种方法是本工作的主要贡献，第二种方法仅作综述。在第一种方法中，相量测量单元(pmu)数据用于估计传输线参数及其温度。该方法采用非线性加权最小二乘(NWLS)算法进行估计。第二种方法是利用气象站的风速、环境气温等数据来计算DTR。在MATLAB Power System Toolbox中对一条典型的传输线进行了仿真，验证了该方法在线监测线路温度的有效性。
{"title":"On-line assessment of transmission line thermal rating using PMU data","authors":"Seyed Sina Mousavi-Seyedi, F. Aminifar, Sina Azimi, Z. Garoosi","doi":"10.1109/SGC.2014.7090880","DOIUrl":"https://doi.org/10.1109/SGC.2014.7090880","url":null,"abstract":"In nowadays power networks, transmission companies are faced with a drastic growth in the electrical energy demand. As a result, further utilization of existing transmission lines capacity is very essential. Dynamic thermal rating (DTR), which is based on the actual weather and pre-load conditions, has a potential to offer a significant increase in a given transmission line capacity. Two types of DTR calculation methods, namely on-line monitoring of line temperature and weather-based rating, are discussed in this paper. The first method is the main contribution of this work and the second one is only reviewed. In the first method, phasor measurement units (PMUs) data are used for estimation of transmission line parameters and its temperature. In this method, a non-linear weighted least-square (NWLS) based algorithm is adopted for the estimation process. The second method uses weather stations data such as wind speed, ambient air temperature, etc., for calculation of DTR. A typical transmission line is simulated in MATLAB Power System Toolbox to demonstrate the performance of the proposed method for on-line monitoring of line temperature.","PeriodicalId":341696,"journal":{"name":"2014 Smart Grid Conference (SGC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125779296","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 : 2014-12-01DOI: 10.1109/SGC.2014.7090858
L. Mahmoodi, M. A. Shoorehdeli
Modern systems are required to guarantee a high degree of safety and self-diagnostics capabilities. This paper investigates the problem of state fault diagnosis in nonlinear systems with modeling uncertainties. In contrast with common literature, the fault diagnosis scheme is proposed in discrete time domain. This property relaxes the risk of stability and performance degradation in deriving discrete equivalent of continuous methods. An estimator is designed in order to generate residual signal by utilizing a proper nonlinear state transformation. A robust compensator term is implemented in estimator to decrease effect of modeling uncertainties and approximation error on residual signal. When the residual signal is exceeded detection threshold, an on-line fault approximator is turned on and trained by appropriate parameter update law. An extra term is considered in update rule to overcome the need of persistency of excitation (PE). The implement of all robust compensator term, PE relaxing term and proper parameter adaption law improve the accuracy of fault reconstruction. The result would be obviously vital in tolerant and time-life prediction stages after fault diagnosis.
{"title":"Robust state fault diagnosis in nonlinear discretetime systems with modelling uncertainties; using an automated intelligent methodology","authors":"L. Mahmoodi, M. A. Shoorehdeli","doi":"10.1109/SGC.2014.7090858","DOIUrl":"https://doi.org/10.1109/SGC.2014.7090858","url":null,"abstract":"Modern systems are required to guarantee a high degree of safety and self-diagnostics capabilities. This paper investigates the problem of state fault diagnosis in nonlinear systems with modeling uncertainties. In contrast with common literature, the fault diagnosis scheme is proposed in discrete time domain. This property relaxes the risk of stability and performance degradation in deriving discrete equivalent of continuous methods. An estimator is designed in order to generate residual signal by utilizing a proper nonlinear state transformation. A robust compensator term is implemented in estimator to decrease effect of modeling uncertainties and approximation error on residual signal. When the residual signal is exceeded detection threshold, an on-line fault approximator is turned on and trained by appropriate parameter update law. An extra term is considered in update rule to overcome the need of persistency of excitation (PE). The implement of all robust compensator term, PE relaxing term and proper parameter adaption law improve the accuracy of fault reconstruction. The result would be obviously vital in tolerant and time-life prediction stages after fault diagnosis.","PeriodicalId":341696,"journal":{"name":"2014 Smart Grid Conference (SGC)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124705428","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 : 2014-12-01DOI: 10.1109/SGC.2014.7150703
N. Rezaei, M. Kalantar
The present paper proposes a novel energy management system in islanded microgrids which considers static frequency. Microgrid frequency continuously deviates from the nominal value, subject to the unpredictable renewable and/or load variations. The small capacity and low inertia stack of the utilized inverter-based distributed energy resources intensify the importance of incorporating the frequency into the microgrid energy management system. Motivated by this need and owing to the direct coupling between the frequency and reserve scheduling, energy and reserve resources of an islanded microgrid are aimed to be scheduled such a way the frequency be managed securely. In this regard, first, the frequency dependent behavior of droop controlled distributed generations should be modeled in detail. Next, microgrid central controller can schedule the reserve resources in order to satisfy both economical and security issues by modification the reference power settings. Simulation results in a typical microgrid and over a daily period verify the effectiveness of the proposed frequency aware energy management system.
{"title":"A novel frequency aware energy management system for a droop controlled microgrid","authors":"N. Rezaei, M. Kalantar","doi":"10.1109/SGC.2014.7150703","DOIUrl":"https://doi.org/10.1109/SGC.2014.7150703","url":null,"abstract":"The present paper proposes a novel energy management system in islanded microgrids which considers static frequency. Microgrid frequency continuously deviates from the nominal value, subject to the unpredictable renewable and/or load variations. The small capacity and low inertia stack of the utilized inverter-based distributed energy resources intensify the importance of incorporating the frequency into the microgrid energy management system. Motivated by this need and owing to the direct coupling between the frequency and reserve scheduling, energy and reserve resources of an islanded microgrid are aimed to be scheduled such a way the frequency be managed securely. In this regard, first, the frequency dependent behavior of droop controlled distributed generations should be modeled in detail. Next, microgrid central controller can schedule the reserve resources in order to satisfy both economical and security issues by modification the reference power settings. Simulation results in a typical microgrid and over a daily period verify the effectiveness of the proposed frequency aware energy management system.","PeriodicalId":341696,"journal":{"name":"2014 Smart Grid Conference (SGC)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130464348","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 : 2014-12-01DOI: 10.1109/SGC.2014.7150707
S. Ranjbar, S. Jamali
Traditional protection schemes are not adequate for the protection of microgrids because of bidirectional flow in feeders and reduced fault levels in islanded operations, thus it is needed a new protection scheme. This paper proposes a protection scheme that primarily depends on differential protection. In the event of primary protection failure, a robust backup protection is developed to isolate the fault after a certain time delay. It should be noted that the proposed primary protection scheme is applicable irrespective of the operational mode. Meanwhile, communication system plays a critical role on the protection of microgrid in the proposed protection strategy. This protection scheme is simulated on an 18-bus distribution system containing a high penetration of distributed energy resources and the climes made in this paper are evaluated using simulations.
{"title":"Comprehensive protection of medium-voltage microgrids","authors":"S. Ranjbar, S. Jamali","doi":"10.1109/SGC.2014.7150707","DOIUrl":"https://doi.org/10.1109/SGC.2014.7150707","url":null,"abstract":"Traditional protection schemes are not adequate for the protection of microgrids because of bidirectional flow in feeders and reduced fault levels in islanded operations, thus it is needed a new protection scheme. This paper proposes a protection scheme that primarily depends on differential protection. In the event of primary protection failure, a robust backup protection is developed to isolate the fault after a certain time delay. It should be noted that the proposed primary protection scheme is applicable irrespective of the operational mode. Meanwhile, communication system plays a critical role on the protection of microgrid in the proposed protection strategy. This protection scheme is simulated on an 18-bus distribution system containing a high penetration of distributed energy resources and the climes made in this paper are evaluated using simulations.","PeriodicalId":341696,"journal":{"name":"2014 Smart Grid Conference (SGC)","volume":"17 12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123734172","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 : 2014-12-01DOI: 10.1109/SGC.2014.7090887
M. Aryanezhad, E. Ostadaghaee, M. Joorabian
Charging of plug-in-hybrid-electric vehicles (PHEVs) may adversely affect electric grid reliability because a large amount of additional electrical energy is required to charge the PHEVs. In this paper, a comprehensive method to evaluate the system reliability concerning the stochastic modeling of PHEVs, renewable resources, availability of devices, etc. is proposed. This method, which consists of managed charging and vehicle-to-grid (V2G) scenarios, can be practically implemented in smart grids because the bidirectional-power-conversion technologies and two-way of both the power and data are applicable. The results showed that the smart grid's adequacy was jeopardized by using the PHEVs without any managed charging schedule. The sensitivity analyses results illustrated that by using the management scenarios, not only did the PHEVs not compromise the system reliability, but also in the V2G scenario acted as storage systems and improved the well-being criteria and adequacy indices.
{"title":"Management and coordination charging of smart park and V2G strategy based on Monte Carlo algorithm","authors":"M. Aryanezhad, E. Ostadaghaee, M. Joorabian","doi":"10.1109/SGC.2014.7090887","DOIUrl":"https://doi.org/10.1109/SGC.2014.7090887","url":null,"abstract":"Charging of plug-in-hybrid-electric vehicles (PHEVs) may adversely affect electric grid reliability because a large amount of additional electrical energy is required to charge the PHEVs. In this paper, a comprehensive method to evaluate the system reliability concerning the stochastic modeling of PHEVs, renewable resources, availability of devices, etc. is proposed. This method, which consists of managed charging and vehicle-to-grid (V2G) scenarios, can be practically implemented in smart grids because the bidirectional-power-conversion technologies and two-way of both the power and data are applicable. The results showed that the smart grid's adequacy was jeopardized by using the PHEVs without any managed charging schedule. The sensitivity analyses results illustrated that by using the management scenarios, not only did the PHEVs not compromise the system reliability, but also in the V2G scenario acted as storage systems and improved the well-being criteria and adequacy indices.","PeriodicalId":341696,"journal":{"name":"2014 Smart Grid Conference (SGC)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130829479","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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