Pub Date : 2019-12-01DOI: 10.1109/PSC49016.2019.9081539
Behrooz Taheri, S. A. Hosseini, Sirus Salehimehr, F. Razavi
The use of DC micro-grids enhances the efficiency of the power systems, and also reduces the complexity of the power network that is one of the major advantages for them. Furthermore, due to the abundance of DC generation resources, energy storage devices, and loads the use of DC micro-grid will also decrease the costs. However, detecting high impedance faults is one of the most important challenges for the protection of this type of network. For this reason, this paper presents a new scheme of high impedance fault detection based on signal prediction using GMDH neural network. The GMDH neural network has been presented as a multivariate analysis method for modeling and specifying complex systems. The proposed method in this paper has been tested using DIgSILENT and Matlab software on a microgrid with single-pole topology. The results illustrate that the proposed method is capable of detecting the faults with impedance value up to 700 ohms. In addition, this method detects the low-impedance faults as soon as they occur in the system, and also another prominent merit of the presented method is that the noisy conditions do not have any effect on its operation.
{"title":"A Novel Approach for Detection High Impedance Fault in DC Microgrid","authors":"Behrooz Taheri, S. A. Hosseini, Sirus Salehimehr, F. Razavi","doi":"10.1109/PSC49016.2019.9081539","DOIUrl":"https://doi.org/10.1109/PSC49016.2019.9081539","url":null,"abstract":"The use of DC micro-grids enhances the efficiency of the power systems, and also reduces the complexity of the power network that is one of the major advantages for them. Furthermore, due to the abundance of DC generation resources, energy storage devices, and loads the use of DC micro-grid will also decrease the costs. However, detecting high impedance faults is one of the most important challenges for the protection of this type of network. For this reason, this paper presents a new scheme of high impedance fault detection based on signal prediction using GMDH neural network. The GMDH neural network has been presented as a multivariate analysis method for modeling and specifying complex systems. The proposed method in this paper has been tested using DIgSILENT and Matlab software on a microgrid with single-pole topology. The results illustrate that the proposed method is capable of detecting the faults with impedance value up to 700 ohms. In addition, this method detects the low-impedance faults as soon as they occur in the system, and also another prominent merit of the presented method is that the noisy conditions do not have any effect on its operation.","PeriodicalId":359817,"journal":{"name":"2019 International Power System Conference (PSC)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127886913","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 : 2019-12-01DOI: 10.1109/PSC49016.2019.9081569
Maryam Alizadeh, R. Ghazi, Ehsan Haghani, Mohammad Esmaeili Rad
The connection of wind farms to the grid and their dynamic behavior under different conditions is a real challenging issue which resulted in providing new instructions for the network. One of the important topics related to grid standards is Low-Voltage Ride-Through capability. In recent years, The application of Brushless Doubly Fed Induction Generator (BDFIG) in the wind farms has drawn the attention of researchers. This generator has more advantages than other common generators, including the Doubly Fed Induction Generator (DFIG). In this paper, the performance of the BDFIG under fault conditions in the grid is examined and monitored in order to improve LVRT while considering the dynamic model of the BDFIG connected to a wind turbine. In this method, the reactive power and speed are controlled for stable performance of the generator under various grid conditions. A converter is used to connect the stator control winding to the power grid, which DC link voltage is adjusted using multiple PI controllers under fault conditions. In addition, two controlling systems based on the conventional PI controllers are proposed to control the generator side converter and the wind turbines step angle. The results demonstrate good dynamic performance of the examined generator under different grid conditions achieved by the proposed controlling method without using any additional hardware such as a Crowbar.
{"title":"Improving Analysis of Low Voltage Ride Through Capability in Turbines Connected to The Brushless Doubly Fed Induction Generator (BDFIG) under Fault Conditions","authors":"Maryam Alizadeh, R. Ghazi, Ehsan Haghani, Mohammad Esmaeili Rad","doi":"10.1109/PSC49016.2019.9081569","DOIUrl":"https://doi.org/10.1109/PSC49016.2019.9081569","url":null,"abstract":"The connection of wind farms to the grid and their dynamic behavior under different conditions is a real challenging issue which resulted in providing new instructions for the network. One of the important topics related to grid standards is Low-Voltage Ride-Through capability. In recent years, The application of Brushless Doubly Fed Induction Generator (BDFIG) in the wind farms has drawn the attention of researchers. This generator has more advantages than other common generators, including the Doubly Fed Induction Generator (DFIG). In this paper, the performance of the BDFIG under fault conditions in the grid is examined and monitored in order to improve LVRT while considering the dynamic model of the BDFIG connected to a wind turbine. In this method, the reactive power and speed are controlled for stable performance of the generator under various grid conditions. A converter is used to connect the stator control winding to the power grid, which DC link voltage is adjusted using multiple PI controllers under fault conditions. In addition, two controlling systems based on the conventional PI controllers are proposed to control the generator side converter and the wind turbines step angle. The results demonstrate good dynamic performance of the examined generator under different grid conditions achieved by the proposed controlling method without using any additional hardware such as a Crowbar.","PeriodicalId":359817,"journal":{"name":"2019 International Power System Conference (PSC)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128176198","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 : 2019-12-01DOI: 10.1109/PSC49016.2019.9081477
Leila Bagherzadeh, Hossein Shahinzadeh, G. Gharehpetian
The use of the potential capacity of Electric Vehicles' (EVs) is regarded as one of the feasible solutions to boost the integration of Renewable Energy Sources (RES) into power systems. The incorporation of EVs' potential in smart distribution systems entails effective management of their power exchange with the grid in charging/discharging modes. The present study delves into a multi-objective optimization problem seeking for an optimum operation schedule of the grid, including EVs and Distributed Generation (DG) in the smart grid. The objective function is comprised of minimization of operation cost along with the reduction of emission. The Beta distribution and Weibull distribution approaches are employed to deal with the uncertainties of renewable resources in the model. The Cuckoo bird Optimization Algorithm (COA) is also employed to solve the problem. In addition, the fuzzy method is applied to the model to find the best solution to the multi-objective optimization problem. In order to evaluate and assess the performance of the proposed method, it is tested on a 33-bus distribution system for a 24-hour interval subject to satisfy the operational constraints of the power system, DG, and EVs. The obtained results convey the high performance of the proposed method in resource planning and improvement of distribution system efficiency through the optimal operation of EVs and DGs.
{"title":"Scheduling of Distributed Energy Resources in Active Distribution Networks Considering Combination of Techno-Economic and Environmental Objectives","authors":"Leila Bagherzadeh, Hossein Shahinzadeh, G. Gharehpetian","doi":"10.1109/PSC49016.2019.9081477","DOIUrl":"https://doi.org/10.1109/PSC49016.2019.9081477","url":null,"abstract":"The use of the potential capacity of Electric Vehicles' (EVs) is regarded as one of the feasible solutions to boost the integration of Renewable Energy Sources (RES) into power systems. The incorporation of EVs' potential in smart distribution systems entails effective management of their power exchange with the grid in charging/discharging modes. The present study delves into a multi-objective optimization problem seeking for an optimum operation schedule of the grid, including EVs and Distributed Generation (DG) in the smart grid. The objective function is comprised of minimization of operation cost along with the reduction of emission. The Beta distribution and Weibull distribution approaches are employed to deal with the uncertainties of renewable resources in the model. The Cuckoo bird Optimization Algorithm (COA) is also employed to solve the problem. In addition, the fuzzy method is applied to the model to find the best solution to the multi-objective optimization problem. In order to evaluate and assess the performance of the proposed method, it is tested on a 33-bus distribution system for a 24-hour interval subject to satisfy the operational constraints of the power system, DG, and EVs. The obtained results convey the high performance of the proposed method in resource planning and improvement of distribution system efficiency through the optimal operation of EVs and DGs.","PeriodicalId":359817,"journal":{"name":"2019 International Power System Conference (PSC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128848987","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 : 2019-12-01DOI: 10.1109/PSC49016.2019.9081502
F. Ahmadi, Jafar Nooralahi, A. Noori, Rahmat-allah Jesri
In this paper, we are investigated a new structure for the circularly polarized reflectarray antenna using the element introduced in our previous paper. Here, the unit cell is created from the combination of four elements that are rotated sequentially. An array consisting of 64 elements was simulated using the finite integration technique (FIT). The arrays exhibit 3-dB axial ratio bandwidth up to 31%. The results were validated using transmission line method (TLM).
{"title":"Dielectric Resonator Antenna as Reflectarray Element for Circular Polarization","authors":"F. Ahmadi, Jafar Nooralahi, A. Noori, Rahmat-allah Jesri","doi":"10.1109/PSC49016.2019.9081502","DOIUrl":"https://doi.org/10.1109/PSC49016.2019.9081502","url":null,"abstract":"In this paper, we are investigated a new structure for the circularly polarized reflectarray antenna using the element introduced in our previous paper. Here, the unit cell is created from the combination of four elements that are rotated sequentially. An array consisting of 64 elements was simulated using the finite integration technique (FIT). The arrays exhibit 3-dB axial ratio bandwidth up to 31%. The results were validated using transmission line method (TLM).","PeriodicalId":359817,"journal":{"name":"2019 International Power System Conference (PSC)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127879057","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 : 2019-12-01DOI: 10.1109/PSC49016.2019.9081534
Amir Talebi, Ahmad Sadeghi-Yazdankhah
The hydrothermal system scheduling problem is one of the challenging issues in power systems scheduling problems, due to complex constraints such as the hydraulic continuity of the water reservoir which joint the reservoirs to each other along the scheduling horizon. On the other hand, because of the benefits of gas-fired generators, the use of these units in power systems is on the rise. Therefore, natural gas network constraints should be considered in power system scheduling problems. This paper proposes coordination between the hydro-thermal-gas systems on the MINLP framework and on the short-term horizon. The method is applied to the test system and its results have discussed.
{"title":"Coordinated Scheduling of Hydro-Thermal-Gas Systems in the Short-Term Horizon","authors":"Amir Talebi, Ahmad Sadeghi-Yazdankhah","doi":"10.1109/PSC49016.2019.9081534","DOIUrl":"https://doi.org/10.1109/PSC49016.2019.9081534","url":null,"abstract":"The hydrothermal system scheduling problem is one of the challenging issues in power systems scheduling problems, due to complex constraints such as the hydraulic continuity of the water reservoir which joint the reservoirs to each other along the scheduling horizon. On the other hand, because of the benefits of gas-fired generators, the use of these units in power systems is on the rise. Therefore, natural gas network constraints should be considered in power system scheduling problems. This paper proposes coordination between the hydro-thermal-gas systems on the MINLP framework and on the short-term horizon. The method is applied to the test system and its results have discussed.","PeriodicalId":359817,"journal":{"name":"2019 International Power System Conference (PSC)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134012633","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 : 2019-12-01DOI: 10.1109/PSC49016.2019.9081551
M. Imani
Electricity demand prediction is an important task in smart power grid. The measured load values along time compose the load time series. The electrical load time series is a sequence that not only is crumple in many parts but also has self-similarity characteristic. So, a load sequence can be considered as a fractal. The fractal dimension shows how the fractal shape is complex and snuggle. Therefore, the fractal dimension is a good property of the load sequence that can be used beside the original load history for load forecasting. A short-term load forecasting method is proposed in this work that benefits the fractal features for characterizing the consumed electricity. The extracted features are fed into two different predictors: support vector regression and feed forward neural network. The experiments on two electricity datasets of Ireland and Canada show decreasing of the load prediction error using fractal features.
{"title":"Electricity Demand Prediction Using Fractal Dimension of Load Sequence","authors":"M. Imani","doi":"10.1109/PSC49016.2019.9081551","DOIUrl":"https://doi.org/10.1109/PSC49016.2019.9081551","url":null,"abstract":"Electricity demand prediction is an important task in smart power grid. The measured load values along time compose the load time series. The electrical load time series is a sequence that not only is crumple in many parts but also has self-similarity characteristic. So, a load sequence can be considered as a fractal. The fractal dimension shows how the fractal shape is complex and snuggle. Therefore, the fractal dimension is a good property of the load sequence that can be used beside the original load history for load forecasting. A short-term load forecasting method is proposed in this work that benefits the fractal features for characterizing the consumed electricity. The extracted features are fed into two different predictors: support vector regression and feed forward neural network. The experiments on two electricity datasets of Ireland and Canada show decreasing of the load prediction error using fractal features.","PeriodicalId":359817,"journal":{"name":"2019 International Power System Conference (PSC)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121252892","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 : 2019-12-01DOI: 10.1109/PSC49016.2019.9081490
S. Choobkar, Masoomeh Rahmani
Dissemination of distributed energy resources (DERs) manifests the precious idea of green power generation. Aggregation of several DER units into the existing power network has become a principal challenge. To solve this, proper communication system for DER data exchange with the power utility need to be determined. DER interconnection with the power grid should be studied in two main levels of physical electricity connection and information transfer layer. The main objective of this paper is to study possible data exchange architectures for communication between a DER controller and a power utility operator. We extracted 9 different scenarios that fully cover DER interactions with other units. This paper provides a better understanding of a DER connection to power system components, defines the few related standards and design factors, extracts 9 communication scenarios based on reliable and qualified connections and discusses the optimized communication techniques for DER routes.
{"title":"Communication Routes for DER Interconnection with Power Grid","authors":"S. Choobkar, Masoomeh Rahmani","doi":"10.1109/PSC49016.2019.9081490","DOIUrl":"https://doi.org/10.1109/PSC49016.2019.9081490","url":null,"abstract":"Dissemination of distributed energy resources (DERs) manifests the precious idea of green power generation. Aggregation of several DER units into the existing power network has become a principal challenge. To solve this, proper communication system for DER data exchange with the power utility need to be determined. DER interconnection with the power grid should be studied in two main levels of physical electricity connection and information transfer layer. The main objective of this paper is to study possible data exchange architectures for communication between a DER controller and a power utility operator. We extracted 9 different scenarios that fully cover DER interactions with other units. This paper provides a better understanding of a DER connection to power system components, defines the few related standards and design factors, extracts 9 communication scenarios based on reliable and qualified connections and discusses the optimized communication techniques for DER routes.","PeriodicalId":359817,"journal":{"name":"2019 International Power System Conference (PSC)","volume":"57 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129332334","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 : 2019-12-01DOI: 10.1109/PSC49016.2019.9081522
M. Kashfi, P. Fakhri, Babak Amini, N. Yavari
Vibration of wind turbine blades is a critical parameter to study its durability and performance. Active control using piezoelectric sensors and actuators have been emerged as a promising technology. In the present work, finite element analysis (FEA) has been developed for vibration analysis of a smart wind turbine blade, in which a piezoelectric layer is integrated on the blade layers. The numerical model of the blade with active and inactive piezoelectric actuator was constructed in COMSOL Multiphysics. Modal analysis has been performed to identify natural frequencies. It was shown that usage of piezoelectric layer increases the blade stiffness, thus increases the blade natural frequencies. These results indicate the feasibility of using piezoelectric actuators as a smart material for vibration suppression in the wind turbine blades.
{"title":"Vibration Analysis of A Wind Turbine Blade Integrated by A Piezoelectric layer","authors":"M. Kashfi, P. Fakhri, Babak Amini, N. Yavari","doi":"10.1109/PSC49016.2019.9081522","DOIUrl":"https://doi.org/10.1109/PSC49016.2019.9081522","url":null,"abstract":"Vibration of wind turbine blades is a critical parameter to study its durability and performance. Active control using piezoelectric sensors and actuators have been emerged as a promising technology. In the present work, finite element analysis (FEA) has been developed for vibration analysis of a smart wind turbine blade, in which a piezoelectric layer is integrated on the blade layers. The numerical model of the blade with active and inactive piezoelectric actuator was constructed in COMSOL Multiphysics. Modal analysis has been performed to identify natural frequencies. It was shown that usage of piezoelectric layer increases the blade stiffness, thus increases the blade natural frequencies. These results indicate the feasibility of using piezoelectric actuators as a smart material for vibration suppression in the wind turbine blades.","PeriodicalId":359817,"journal":{"name":"2019 International Power System Conference (PSC)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116990755","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 : 2019-12-01DOI: 10.1109/PSC49016.2019.9081511
B. Poursmaeil, S. Ravadanegh
Future smart grids will be interconnected with several multi-owner networks with multiple interests and goals. The security of this interconnected network is extremely difficult. Cyber-attacks have increased sharply in recent years. Increasing the scope of intelligent system increases the attention for cyber threats. By increasing the system's intelligence the range of cyber-attacks increases. With the advent of smart home and new concepts such as the Internet, attacker have made many devices much easier than their physical access. An attacker with access to system information through eavesdropping identifies the best possible attack time. In this paper a bi-level model proposed for the cyber-attacks and defense against it. The first part is a cyber-attack. In this section, the entire network includes the microgrids (MGs) and the part that belongs to the distribution company, with the same communication structure. For the attacker, the attack limit and the resource constraints for the attack are considered. The second part assumes that the network has different infrastructures. The distribution company uses fiber optic cables. Which is almost impenetrable and invaded. The other MGs use each of the different infrastructures. In the third case, the cyber-physical coordinate attack is done to the system. The real 94-bus network in Portugal has been used to investigate cyber-attacks in this paper.
{"title":"Robust Defense Strategy Against Cyber Physical Attacks In Networked Microgrids","authors":"B. Poursmaeil, S. Ravadanegh","doi":"10.1109/PSC49016.2019.9081511","DOIUrl":"https://doi.org/10.1109/PSC49016.2019.9081511","url":null,"abstract":"Future smart grids will be interconnected with several multi-owner networks with multiple interests and goals. The security of this interconnected network is extremely difficult. Cyber-attacks have increased sharply in recent years. Increasing the scope of intelligent system increases the attention for cyber threats. By increasing the system's intelligence the range of cyber-attacks increases. With the advent of smart home and new concepts such as the Internet, attacker have made many devices much easier than their physical access. An attacker with access to system information through eavesdropping identifies the best possible attack time. In this paper a bi-level model proposed for the cyber-attacks and defense against it. The first part is a cyber-attack. In this section, the entire network includes the microgrids (MGs) and the part that belongs to the distribution company, with the same communication structure. For the attacker, the attack limit and the resource constraints for the attack are considered. The second part assumes that the network has different infrastructures. The distribution company uses fiber optic cables. Which is almost impenetrable and invaded. The other MGs use each of the different infrastructures. In the third case, the cyber-physical coordinate attack is done to the system. The real 94-bus network in Portugal has been used to investigate cyber-attacks in this paper.","PeriodicalId":359817,"journal":{"name":"2019 International Power System Conference (PSC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115243104","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 : 2019-12-01DOI: 10.1109/PSC49016.2019.9081465
A. Zakipour, Shokrollah Shokri Kojori, M. Salimi
In low-speed wind power systems, it is possible to remove the gearbox from the wind turbine structure by using permanent magnet synchronous generators and reduce the costs of construction, weight and maintenance. Therefore, in this paper, a single-phase grid connected impedance source inverter is studied for power management of low-speed synchronous magnet generators. Considering capability of the inverter to operate either in buck or boost modes, an extra DC-DC converter is not required in maximum power point tracking of the wind energy conversion systems. To cope with the non-minimum phase characteristic of the impedance source converter, an indirect controller is designed to regulate inverter input voltage as well as maximum power tracking of the wind turbine. Simulation results in the MATLAB/SIMULINK environment indicate efficiency of the proposed controller in maximum power point tracking of the grid connected renewable power plant.
{"title":"Low-Cost Wind Power Conversion System Based on Permanent Magnet Synchronous Generator and Grid Connected Single-Phase Impedance Source Inverter","authors":"A. Zakipour, Shokrollah Shokri Kojori, M. Salimi","doi":"10.1109/PSC49016.2019.9081465","DOIUrl":"https://doi.org/10.1109/PSC49016.2019.9081465","url":null,"abstract":"In low-speed wind power systems, it is possible to remove the gearbox from the wind turbine structure by using permanent magnet synchronous generators and reduce the costs of construction, weight and maintenance. Therefore, in this paper, a single-phase grid connected impedance source inverter is studied for power management of low-speed synchronous magnet generators. Considering capability of the inverter to operate either in buck or boost modes, an extra DC-DC converter is not required in maximum power point tracking of the wind energy conversion systems. To cope with the non-minimum phase characteristic of the impedance source converter, an indirect controller is designed to regulate inverter input voltage as well as maximum power tracking of the wind turbine. Simulation results in the MATLAB/SIMULINK environment indicate efficiency of the proposed controller in maximum power point tracking of the grid connected renewable power plant.","PeriodicalId":359817,"journal":{"name":"2019 International Power System Conference (PSC)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126610636","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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