Pub Date : 2018-10-01DOI: 10.1109/EPEC.2018.8598376
M. Tahir, R. El Shatshat, M. Salama
Driven by technical challenges and environmental needs, there has been significant interest towards integrating more renewable energy sources (RESs) into the electricity grid. However, the high penetration level of RESs is usually accompanied with a few operating challenges such as voltage variation, reverse power flow, and frequent operations of Volt/Var control devices. To address these challenges, this paper presents a centralized coordinated voltage and reactive power control for a medium-voltage (MV) active distribution network (DN) dominated by photovoltaic (PV) and wind power systems. The proposed model minimizes the operating cost by minimizing the real power loss and reducing the number of OLTC operations while maintaining the network voltage within the allowable limits. The objective is to determine the required reactive power from the inverter based RESs (IBRESs) and the optimal setting of the OLTC. The coordination problem is formulated as a mixed-integer nonlinear programming (MINLP) optimization problem and solved by GAMS software. The proposed model is validated by a two-feeder MV distribution system connected to a sub-transmission system via a substation transformer. The results show that the proposed model can optimize the operational cost of active DNs. Hence, utility and customer satisfaction can be met.
{"title":"Reactive Power Dispatch of Inverter-Based Renewable Distributed Generation for Optimal Feeder Operation","authors":"M. Tahir, R. El Shatshat, M. Salama","doi":"10.1109/EPEC.2018.8598376","DOIUrl":"https://doi.org/10.1109/EPEC.2018.8598376","url":null,"abstract":"Driven by technical challenges and environmental needs, there has been significant interest towards integrating more renewable energy sources (RESs) into the electricity grid. However, the high penetration level of RESs is usually accompanied with a few operating challenges such as voltage variation, reverse power flow, and frequent operations of Volt/Var control devices. To address these challenges, this paper presents a centralized coordinated voltage and reactive power control for a medium-voltage (MV) active distribution network (DN) dominated by photovoltaic (PV) and wind power systems. The proposed model minimizes the operating cost by minimizing the real power loss and reducing the number of OLTC operations while maintaining the network voltage within the allowable limits. The objective is to determine the required reactive power from the inverter based RESs (IBRESs) and the optimal setting of the OLTC. The coordination problem is formulated as a mixed-integer nonlinear programming (MINLP) optimization problem and solved by GAMS software. The proposed model is validated by a two-feeder MV distribution system connected to a sub-transmission system via a substation transformer. The results show that the proposed model can optimize the operational cost of active DNs. Hence, utility and customer satisfaction can be met.","PeriodicalId":265297,"journal":{"name":"2018 IEEE Electrical Power and Energy Conference (EPEC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127186137","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 : 2018-10-01DOI: 10.1109/EPEC.2018.8598383
J. Dubey, K. Goossen
This paper explores a new nonlinear control algorithm for variable speed centrifugal pumps at water/wastewater pump stations that leads to specific energy savings over the conventional linear one. The algorithm is useful for facilities where pump speed is a linear function of liquid level in order to transport fluid and smooth inflow peaks. A nonlinearity in the form of a quadratic term is added to the conventional linear one in order to produce efficiency gains, with a single parameter, curvature, varied to optimize energy savings. Results obtained by implementing the new algorithm on a pilot-scale pump station show significant energy savings for fixed pump flow, with a parabolic correlation of specific energy savings versus curvature of the nonlinear quadratic determined. In addition, the cost of implementing this algorithm is minimal to none, so the work presented has major industrial potential.
{"title":"Investigation of an Energy Efficient Pump Speed Control Algorithm For Controlling Sump Level","authors":"J. Dubey, K. Goossen","doi":"10.1109/EPEC.2018.8598383","DOIUrl":"https://doi.org/10.1109/EPEC.2018.8598383","url":null,"abstract":"This paper explores a new nonlinear control algorithm for variable speed centrifugal pumps at water/wastewater pump stations that leads to specific energy savings over the conventional linear one. The algorithm is useful for facilities where pump speed is a linear function of liquid level in order to transport fluid and smooth inflow peaks. A nonlinearity in the form of a quadratic term is added to the conventional linear one in order to produce efficiency gains, with a single parameter, curvature, varied to optimize energy savings. Results obtained by implementing the new algorithm on a pilot-scale pump station show significant energy savings for fixed pump flow, with a parabolic correlation of specific energy savings versus curvature of the nonlinear quadratic determined. In addition, the cost of implementing this algorithm is minimal to none, so the work presented has major industrial potential.","PeriodicalId":265297,"journal":{"name":"2018 IEEE Electrical Power and Energy Conference (EPEC)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127942297","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 : 2018-10-01DOI: 10.1109/EPEC.2018.8598367
S. Saxena, Nader A. El-Taweel, H. Farag, L. S. Hilaire
This paper proposes a multi-agent scheme to regulate voltage in smart distribution grids using smart inverters and Data Distribution Service (DDS). DDS is an Internet of Things (IoT) based communication framework that is well suited to handle the demanding requirements of inter-agent communication within smart grid applications, including: asynchronous and low-latency messaging, high scalability, and seamless interoperability. Coupling smart inverters with DDS results in a fully distributed control and communication platform that can significantly increase the penetration of distributed and renewable energy resources in distribution networks. The proposed multi-agent scheme is tested at a real-world microgrid to show its ability to mitigate voltage regulation challenges using both local and coordinated control.
{"title":"Design and Field Implementation of a Multi-Agent System for Voltage Regulation Using Smart Inverters and Data Distribution Service (DDS)","authors":"S. Saxena, Nader A. El-Taweel, H. Farag, L. S. Hilaire","doi":"10.1109/EPEC.2018.8598367","DOIUrl":"https://doi.org/10.1109/EPEC.2018.8598367","url":null,"abstract":"This paper proposes a multi-agent scheme to regulate voltage in smart distribution grids using smart inverters and Data Distribution Service (DDS). DDS is an Internet of Things (IoT) based communication framework that is well suited to handle the demanding requirements of inter-agent communication within smart grid applications, including: asynchronous and low-latency messaging, high scalability, and seamless interoperability. Coupling smart inverters with DDS results in a fully distributed control and communication platform that can significantly increase the penetration of distributed and renewable energy resources in distribution networks. The proposed multi-agent scheme is tested at a real-world microgrid to show its ability to mitigate voltage regulation challenges using both local and coordinated control.","PeriodicalId":265297,"journal":{"name":"2018 IEEE Electrical Power and Energy Conference (EPEC)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121038648","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 : 2018-10-01DOI: 10.1109/EPEC.2018.8598398
A. Asgary, Ben Pantin, A. Selvadurai
In the event of a large scale disaster, where the damage is apparent, electricity consumers tend to appreciate power outages will occur but their tolerance for the duration of an outage less predictable. As North America advances it technological and knowledge-based economies, its dependency on a safe, uninterrupted and reliable source of electricity reduces its patience for extended power outages. Electricity utilities simply do not have the day-to-day resources necessary to meet the disaster restoration expectations of a customer base dependent on uninterrupted power. Disaster mutual assistance in form of regional and national disaster mutual assistance groups has been used and developed by electricity utilities to support each other during major power outages. Effective management of disaster mutual assistance is a challenging task and requires significant preparedness, coordination, collaboration and resources. Electricity utilities impacted by disaster events need to quickly find other utilities able to provide the necessary assistance, determine their availability and for how long they can assist. Recent large-scale electricity disruptions experienced in Canada and the USA show that traditional methods of organizing disaster mutual assistance may be enhanced and by leveraging emerging technologies. This paper describes the background and motivations behind the development of a disaster mutual assistance coordination tool for Canadian electricity utilities.
{"title":"Managing Disaster Mutual Assistance Operations in Electricity Companies: Developing an ArcGIS Online Web Map Application","authors":"A. Asgary, Ben Pantin, A. Selvadurai","doi":"10.1109/EPEC.2018.8598398","DOIUrl":"https://doi.org/10.1109/EPEC.2018.8598398","url":null,"abstract":"In the event of a large scale disaster, where the damage is apparent, electricity consumers tend to appreciate power outages will occur but their tolerance for the duration of an outage less predictable. As North America advances it technological and knowledge-based economies, its dependency on a safe, uninterrupted and reliable source of electricity reduces its patience for extended power outages. Electricity utilities simply do not have the day-to-day resources necessary to meet the disaster restoration expectations of a customer base dependent on uninterrupted power. Disaster mutual assistance in form of regional and national disaster mutual assistance groups has been used and developed by electricity utilities to support each other during major power outages. Effective management of disaster mutual assistance is a challenging task and requires significant preparedness, coordination, collaboration and resources. Electricity utilities impacted by disaster events need to quickly find other utilities able to provide the necessary assistance, determine their availability and for how long they can assist. Recent large-scale electricity disruptions experienced in Canada and the USA show that traditional methods of organizing disaster mutual assistance may be enhanced and by leveraging emerging technologies. This paper describes the background and motivations behind the development of a disaster mutual assistance coordination tool for Canadian electricity utilities.","PeriodicalId":265297,"journal":{"name":"2018 IEEE Electrical Power and Energy Conference (EPEC)","volume":"112 8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120818698","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 : 2018-10-01DOI: 10.1109/EPEC.2018.8598358
K. Wheeler, Anthony W. Bowers, Charlie H. Wong, Jonathan Y. Palmer, Xue Wang
This paper conducts a load and power quality analysis on a 3-feeder distribution system with a cryptocurrency mining system connected. The study includes power factor and harmonic distortion analysis of actual measured 15-minute data over three days in conjunction with measurements of startup and steady state waveforms to determine the load profile of a cryptocurrency mine when connecting to the electrical grid. In addition, comments are made on the effect of the substation transformer. In the context of this paper, multiple load levels are investigated through a thorough analysis of a sample test system. The effects of the cyptocurrency mine are then quantified through comparison to standards indicated in IEEE Std. 519.
{"title":"A Power Quality and Load Analysis of a Cryptocurrency Mine","authors":"K. Wheeler, Anthony W. Bowers, Charlie H. Wong, Jonathan Y. Palmer, Xue Wang","doi":"10.1109/EPEC.2018.8598358","DOIUrl":"https://doi.org/10.1109/EPEC.2018.8598358","url":null,"abstract":"This paper conducts a load and power quality analysis on a 3-feeder distribution system with a cryptocurrency mining system connected. The study includes power factor and harmonic distortion analysis of actual measured 15-minute data over three days in conjunction with measurements of startup and steady state waveforms to determine the load profile of a cryptocurrency mine when connecting to the electrical grid. In addition, comments are made on the effect of the substation transformer. In the context of this paper, multiple load levels are investigated through a thorough analysis of a sample test system. The effects of the cyptocurrency mine are then quantified through comparison to standards indicated in IEEE Std. 519.","PeriodicalId":265297,"journal":{"name":"2018 IEEE Electrical Power and Energy Conference (EPEC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130907733","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 : 2018-10-01DOI: 10.1109/EPEC.2018.8598327
Radhakrishnan Angamuthu Chinnathambi, S. Plathottam, Tareq Hossen, A. S. Nair, P. Ranganathan
This work investigates the application of a multilayered Perceptron (MLP) deep neural network for the day-ahead price forecast of the Iberian electricity market (MIBEL) which serves the mainland areas of the Spain and Portugal. The 3-month and 6-month period of price and energy data are treated as a historical dataset to train and predict the price for day-ahead markets. The network structure is implemented using Google's machine learning TensorFlow platform. Activation function such as Rectifier Linear Unit (ReLU) was tested to achieve a better Mean Absolute Percentage Error (MAPE). Three different layers (2, 3, and 4) were tested to understand the behavior of the model. Three different sets of variables (17, 4, 2) were used and variable selection approaches were used to discard irrelevant variables.
{"title":"Deep Neural Networks (DNN) for Day-Ahead Electricity Price Markets","authors":"Radhakrishnan Angamuthu Chinnathambi, S. Plathottam, Tareq Hossen, A. S. Nair, P. Ranganathan","doi":"10.1109/EPEC.2018.8598327","DOIUrl":"https://doi.org/10.1109/EPEC.2018.8598327","url":null,"abstract":"This work investigates the application of a multilayered Perceptron (MLP) deep neural network for the day-ahead price forecast of the Iberian electricity market (MIBEL) which serves the mainland areas of the Spain and Portugal. The 3-month and 6-month period of price and energy data are treated as a historical dataset to train and predict the price for day-ahead markets. The network structure is implemented using Google's machine learning TensorFlow platform. Activation function such as Rectifier Linear Unit (ReLU) was tested to achieve a better Mean Absolute Percentage Error (MAPE). Three different layers (2, 3, and 4) were tested to understand the behavior of the model. Three different sets of variables (17, 4, 2) were used and variable selection approaches were used to discard irrelevant variables.","PeriodicalId":265297,"journal":{"name":"2018 IEEE Electrical Power and Energy Conference (EPEC)","volume":"116 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131205680","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 : 2018-10-01DOI: 10.1109/EPEC.2018.8598359
C. Opathella, Prof. Bala Venkatesh
Microgrids can be considered as a tool to improve the power distribution system reliability and a platform to integrate renewable energy into the power grid. In the absence of large rotating synchronous generators, often microgrid voltage waveforms are formed by power electronic converters. These converters operate at constant voltage (constant V -f) mode operation when the microgrid is in islanded configuration and operate at constant power (constant P-Q) mode when the microgrid is connected to the main power grid. It is important to understand the performance of converters in terms of managing power balance within the microgrid both when they are connected to the main power grid and at stand-alone. Results of an experiment conducted with a prototype microgrid are presented. The prototype microgrid is purely formed by a three-phase converter bank. It is a three-phase unbalanced AC-DC network with a connected single phase Battery Energy Storage System (BESS), AC load and a DC load. Details of all network elements of the microgrid are included in the paper. By comparing voltage measurements to power flow analysis results, it was concluded that converters could manage the microgrid power balance.
{"title":"Prototype Microgrid Design and Results","authors":"C. Opathella, Prof. Bala Venkatesh","doi":"10.1109/EPEC.2018.8598359","DOIUrl":"https://doi.org/10.1109/EPEC.2018.8598359","url":null,"abstract":"Microgrids can be considered as a tool to improve the power distribution system reliability and a platform to integrate renewable energy into the power grid. In the absence of large rotating synchronous generators, often microgrid voltage waveforms are formed by power electronic converters. These converters operate at constant voltage (constant V -f) mode operation when the microgrid is in islanded configuration and operate at constant power (constant P-Q) mode when the microgrid is connected to the main power grid. It is important to understand the performance of converters in terms of managing power balance within the microgrid both when they are connected to the main power grid and at stand-alone. Results of an experiment conducted with a prototype microgrid are presented. The prototype microgrid is purely formed by a three-phase converter bank. It is a three-phase unbalanced AC-DC network with a connected single phase Battery Energy Storage System (BESS), AC load and a DC load. Details of all network elements of the microgrid are included in the paper. By comparing voltage measurements to power flow analysis results, it was concluded that converters could manage the microgrid power balance.","PeriodicalId":265297,"journal":{"name":"2018 IEEE Electrical Power and Energy Conference (EPEC)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116078367","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 : 2018-10-01DOI: 10.1109/EPEC.2018.8598430
Ali Fituri, H. Aly, W. M. E. El-Hawary
Tidal in-stream power generation is based on current speed which is more predictable compared to wind speed, but the performance of tidal in-stream devices may be affected by unsteady surface waves. This work examines the influence of unsteady surface waves on the performance of tidal in-stream energy systems using real data for tidal currents from Minas Passage site, Bay of Fundy, Nova Scotia, Canada. Two concepts are used to test the correlation between waves and tidal currents with two different tools for both types of energy variables. The first concept is the speed of tidal currents. The relationship between the tidal current speed and the maximum wave height is confirmed. The second concept considers the wave direction. For the most cost-effective system, considering the effects of surface waves is needed. Results confirm the distortion effect of unsteady surface wave on the tidal in-stream speed.
{"title":"Effect of Unsteady Surface Wave on the Performance of Tidal In-Stream Power Systems","authors":"Ali Fituri, H. Aly, W. M. E. El-Hawary","doi":"10.1109/EPEC.2018.8598430","DOIUrl":"https://doi.org/10.1109/EPEC.2018.8598430","url":null,"abstract":"Tidal in-stream power generation is based on current speed which is more predictable compared to wind speed, but the performance of tidal in-stream devices may be affected by unsteady surface waves. This work examines the influence of unsteady surface waves on the performance of tidal in-stream energy systems using real data for tidal currents from Minas Passage site, Bay of Fundy, Nova Scotia, Canada. Two concepts are used to test the correlation between waves and tidal currents with two different tools for both types of energy variables. The first concept is the speed of tidal currents. The relationship between the tidal current speed and the maximum wave height is confirmed. The second concept considers the wave direction. For the most cost-effective system, considering the effects of surface waves is needed. Results confirm the distortion effect of unsteady surface wave on the tidal in-stream speed.","PeriodicalId":265297,"journal":{"name":"2018 IEEE Electrical Power and Energy Conference (EPEC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115305014","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 : 2018-10-01DOI: 10.1109/EPEC.2018.8598340
Saeed Arazm, H. Vahedi, K. Al-haddad
In this paper a simplified algorithm for phase-shift pulsed width modulation (PS _ PWM) is generalized for all topologies of multi-level converters and modular multi-level converters (MMC). Fundamentally, proposed method includes simplified algorithm based on analytical model of phase shift that could be applied on all topologies of multi-level converters and MMCs. Each voltage level is generated through comparing a set of carrier signals with the reference waveform. The method is explained for generating three voltage levels and then it is extended to produce n voltage levels at the output of inverters. Eventually, simulation results are presented on different types of multilevel inverters including 5-level H-bridge Neutral point clamped (5L-HNPC), 7-level Packed U-cell (PUC-7) and 15-level cascade H-bridge with 7 cells to validate the performance of the proposed modulation technique.
{"title":"Generalized Phase-Shift Pulse Width Modulation for Multi-Level Converters","authors":"Saeed Arazm, H. Vahedi, K. Al-haddad","doi":"10.1109/EPEC.2018.8598340","DOIUrl":"https://doi.org/10.1109/EPEC.2018.8598340","url":null,"abstract":"In this paper a simplified algorithm for phase-shift pulsed width modulation (PS _ PWM) is generalized for all topologies of multi-level converters and modular multi-level converters (MMC). Fundamentally, proposed method includes simplified algorithm based on analytical model of phase shift that could be applied on all topologies of multi-level converters and MMCs. Each voltage level is generated through comparing a set of carrier signals with the reference waveform. The method is explained for generating three voltage levels and then it is extended to produce n voltage levels at the output of inverters. Eventually, simulation results are presented on different types of multilevel inverters including 5-level H-bridge Neutral point clamped (5L-HNPC), 7-level Packed U-cell (PUC-7) and 15-level cascade H-bridge with 7 cells to validate the performance of the proposed modulation technique.","PeriodicalId":265297,"journal":{"name":"2018 IEEE Electrical Power and Energy Conference (EPEC)","volume":"256 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121233779","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 : 2018-10-01DOI: 10.1109/EPEC.2018.8598455
Z. Alnasir, Mehrdad Kazerani
A current-source inverter-based small-scale standalone wind energy conversion system has been recently proposed. The detailed switch-level model of the system can be implemented using various available circuit-oriented simulation software packages such as Matlab/Simulink. However, the complications associated with such a model, including long simulation time, large memory size requirement, discontinuities and nonlinearities can be avoided when detailed switching transients are not of interest. In this paper, an average-value model of the proposed wind turbine system is systematically developed and verified against the detailed switch-level model, by comparing the simulated open-loop step responses and dynamic closed-loop responses.
{"title":"Dynamic Average Modeling of a CSI-based Small-Scale Standalone Wind Energy Conversion System","authors":"Z. Alnasir, Mehrdad Kazerani","doi":"10.1109/EPEC.2018.8598455","DOIUrl":"https://doi.org/10.1109/EPEC.2018.8598455","url":null,"abstract":"A current-source inverter-based small-scale standalone wind energy conversion system has been recently proposed. The detailed switch-level model of the system can be implemented using various available circuit-oriented simulation software packages such as Matlab/Simulink. However, the complications associated with such a model, including long simulation time, large memory size requirement, discontinuities and nonlinearities can be avoided when detailed switching transients are not of interest. In this paper, an average-value model of the proposed wind turbine system is systematically developed and verified against the detailed switch-level model, by comparing the simulated open-loop step responses and dynamic closed-loop responses.","PeriodicalId":265297,"journal":{"name":"2018 IEEE Electrical Power and Energy Conference (EPEC)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126533290","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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