Pub Date : 2021-02-02DOI: 10.1109/TPEC51183.2021.9384974
Ramin Tafazzoli Mehriardi, Nima Farrokhzad Ershad, Babak Rahrovi, M. Ehsani
Compared to Doubly-Fed Induction Machines (DFIMs), the dynamic and steady-state behavior of the Brushless Doubly-Fed Induction Machine (BDFIM) is more complicated. This fact is due to the coexistence of the undesirable asynchronous torques (disturbance torques) with the expected synchronous torque. In this paper, first, an analytical relationship between Control Machine (CM) currents, regarded as the system's input, and the total output torque, regarded as the system's output is derived. The relationship is expressed in both frequency and time domains to have a more clear vision of the BDFIM dynamic behavior. In the introduced equations, all types of torques that coexist in the BDFIM are considered. Then, by examining the obtained relationship, a motor drive with Feed-forward torque compensation is proposed that actively predicts the dynamic behavior of the BDFIM and attempts to eliminate undesirable dynamic responses. The dynamic behavior of the BDFIM with and without torque compensation method are compared for both open-loop and closed-loop torque control drive schemes, and the simulation results are presented. Field oriented control assumptions are made to obtain a suitable dynamic model for the BDFIM.
{"title":"Brushless Doubly-Fed Induction Machine with Feed-Forward Torque Compensation Control","authors":"Ramin Tafazzoli Mehriardi, Nima Farrokhzad Ershad, Babak Rahrovi, M. Ehsani","doi":"10.1109/TPEC51183.2021.9384974","DOIUrl":"https://doi.org/10.1109/TPEC51183.2021.9384974","url":null,"abstract":"Compared to Doubly-Fed Induction Machines (DFIMs), the dynamic and steady-state behavior of the Brushless Doubly-Fed Induction Machine (BDFIM) is more complicated. This fact is due to the coexistence of the undesirable asynchronous torques (disturbance torques) with the expected synchronous torque. In this paper, first, an analytical relationship between Control Machine (CM) currents, regarded as the system's input, and the total output torque, regarded as the system's output is derived. The relationship is expressed in both frequency and time domains to have a more clear vision of the BDFIM dynamic behavior. In the introduced equations, all types of torques that coexist in the BDFIM are considered. Then, by examining the obtained relationship, a motor drive with Feed-forward torque compensation is proposed that actively predicts the dynamic behavior of the BDFIM and attempts to eliminate undesirable dynamic responses. The dynamic behavior of the BDFIM with and without torque compensation method are compared for both open-loop and closed-loop torque control drive schemes, and the simulation results are presented. Field oriented control assumptions are made to obtain a suitable dynamic model for the BDFIM.","PeriodicalId":354018,"journal":{"name":"2021 IEEE Texas Power and Energy Conference (TPEC)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129931192","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 : 2021-02-02DOI: 10.1109/TPEC51183.2021.9384959
M. Rezvani, S. Mehraeen
The tendency to gain the benefits of both ac and dc grids pushed the power industries to introduce the ac-dc hybrid system as the future of distribution systems. Although these grids bring substantial advantages for the power system, such as stability, reliability, resiliency, they add more complexities to power network studies, such as load flow, short circuit, dynamic, stability analyses. These complexities arise due to the presence of ac-dc converters. In a hybrid grid, ac and dc system equations should be solved either simultaneously or sequentially. Despite the sequential method that was in a center of attention, the simultaneous approaches have not been deeply researched due to some technical barriers. This paper aims to explore the ac equivalent circuits of dc grids so that the ac-dc hybrid grid can be considered and analyzed as one ac grid. Accordingly, dealing with separate sets of equations for ac and dc networks is avoided. Therefore, all of the classical power system studies, such as the Newton Raphson (NR) based load flow algorithm, stability and dynamic analyses, and short circuit study, can be applied to the ac-dc network with a small modification that substantially saves time and effort.
{"title":"A Generalized Model For Unified Ac-Dc Load Flow Analysis","authors":"M. Rezvani, S. Mehraeen","doi":"10.1109/TPEC51183.2021.9384959","DOIUrl":"https://doi.org/10.1109/TPEC51183.2021.9384959","url":null,"abstract":"The tendency to gain the benefits of both ac and dc grids pushed the power industries to introduce the ac-dc hybrid system as the future of distribution systems. Although these grids bring substantial advantages for the power system, such as stability, reliability, resiliency, they add more complexities to power network studies, such as load flow, short circuit, dynamic, stability analyses. These complexities arise due to the presence of ac-dc converters. In a hybrid grid, ac and dc system equations should be solved either simultaneously or sequentially. Despite the sequential method that was in a center of attention, the simultaneous approaches have not been deeply researched due to some technical barriers. This paper aims to explore the ac equivalent circuits of dc grids so that the ac-dc hybrid grid can be considered and analyzed as one ac grid. Accordingly, dealing with separate sets of equations for ac and dc networks is avoided. Therefore, all of the classical power system studies, such as the Newton Raphson (NR) based load flow algorithm, stability and dynamic analyses, and short circuit study, can be applied to the ac-dc network with a small modification that substantially saves time and effort.","PeriodicalId":354018,"journal":{"name":"2021 IEEE Texas Power and Energy Conference (TPEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130011948","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 : 2021-02-02DOI: 10.1109/TPEC51183.2021.9384921
Pooria Dehghanian, T. Overbye
Geomagnetic Disturbances (GMDs) could potentially damage the power grid through reactive power losses and overheating the high-voltage power transformers. A high-impact Low-frequency event such as GMD could induce a hotspot temperature rise over the transformer's overall temperature during a full load condition leading to an accelerated asset loss of life and increased risk of failure. This paper focuses on the impact of GMDs on transformers heating and its consequences on transformer's loss of life cycle and failure risk. Moreover, this paper proposes a transformer hazard mitigation approach to reduce the temperature-dependent transformer risk of failure. The proposed method is tested in the synthetic Texas 2000-bus grid, and the results are numerically analysed, demonstrating the effectiveness of the algorithm.
{"title":"Temperature-Triggered Failure Hazard Mitigation of Transformers Subject to Geomagnetic Disturbances","authors":"Pooria Dehghanian, T. Overbye","doi":"10.1109/TPEC51183.2021.9384921","DOIUrl":"https://doi.org/10.1109/TPEC51183.2021.9384921","url":null,"abstract":"Geomagnetic Disturbances (GMDs) could potentially damage the power grid through reactive power losses and overheating the high-voltage power transformers. A high-impact Low-frequency event such as GMD could induce a hotspot temperature rise over the transformer's overall temperature during a full load condition leading to an accelerated asset loss of life and increased risk of failure. This paper focuses on the impact of GMDs on transformers heating and its consequences on transformer's loss of life cycle and failure risk. Moreover, this paper proposes a transformer hazard mitigation approach to reduce the temperature-dependent transformer risk of failure. The proposed method is tested in the synthetic Texas 2000-bus grid, and the results are numerically analysed, demonstrating the effectiveness of the algorithm.","PeriodicalId":354018,"journal":{"name":"2021 IEEE Texas Power and Energy Conference (TPEC)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130878441","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 : 2021-02-02DOI: 10.1109/TPEC51183.2021.9384985
Alok Kumar Bharati, V. Ajjarapu
The power grid is fast changing with the integration of various distributed energy resources (DERs) and it is becoming imperative to model and include these in a correct method. Transmission and Distribution (T &D) co-simulation is an effective tool to accurately consider the DERs and account for the changing power grid for various power system planning and operational studies. We have developed a T&D co-simulation framework with commercial transmission system solvers like PSS/E that can handle largescale transmission networks, and accurate distribution system solver (GridLAB-D) that can model the distribution systems down to the house level and behind-the-meter DERs. PSS/E and GridLAB-D are combined using HELICS environment and are driven using Python to enable multi-timescale T&D co-simulation. This framework is scalable and parallel computing compatible that will enable large-scale system simulations. This framework will enable adoption of T&D co-simulation methodology by the industry and utilities. The scalable multi-timescale T&D co-simulation framework will be instrumental to enable faster integration of DERs by making the various planning and operational studies more accurate.
{"title":"A Scalable Multi-Timescale T&D Co-Simulation Framework using HELICS","authors":"Alok Kumar Bharati, V. Ajjarapu","doi":"10.1109/TPEC51183.2021.9384985","DOIUrl":"https://doi.org/10.1109/TPEC51183.2021.9384985","url":null,"abstract":"The power grid is fast changing with the integration of various distributed energy resources (DERs) and it is becoming imperative to model and include these in a correct method. Transmission and Distribution (T &D) co-simulation is an effective tool to accurately consider the DERs and account for the changing power grid for various power system planning and operational studies. We have developed a T&D co-simulation framework with commercial transmission system solvers like PSS/E that can handle largescale transmission networks, and accurate distribution system solver (GridLAB-D) that can model the distribution systems down to the house level and behind-the-meter DERs. PSS/E and GridLAB-D are combined using HELICS environment and are driven using Python to enable multi-timescale T&D co-simulation. This framework is scalable and parallel computing compatible that will enable large-scale system simulations. This framework will enable adoption of T&D co-simulation methodology by the industry and utilities. The scalable multi-timescale T&D co-simulation framework will be instrumental to enable faster integration of DERs by making the various planning and operational studies more accurate.","PeriodicalId":354018,"journal":{"name":"2021 IEEE Texas Power and Energy Conference (TPEC)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134600669","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 : 2021-02-02DOI: 10.1109/TPEC51183.2021.9384989
T. K. Roy, M. A. Mahmud, S. K. Ghosh, M. Pramanik, R. Kumar, A. Oo
This paper presents an adaptive sliding model controller for rapid earth fault current limiters (REFCLs) in resonant grounded power distribution networks to mitigate the impacts of powerline bushfires by compensating the fault current along with the faulty phase voltage. The powerline bushfire mitigation application using REFCLs with residual current compensation (RCC) inverters requires extremely fast response from the controller used for these inverters. The proposed adaptive sliding mode controller is designed based on the global terminal sliding surface (GTSS) in conjunction with a quick reaching law in order to achieve the fast compensation of the fault current and faulty phase voltage. Furthermore, a parameter adaptation law is used to estimate the parameter of the arc suppression coil used within REFCLs so that the controller provides robustness against parametric uncertainties. Rigorous simulations are carried out on a test distribution system to justify the effectiveness this newly proposed adaptive sliding mode controller in terms of eliminating the fault current and faulty phase voltage so that the impacts of powerline bushfires are minimized. Simulation results are also compared with an integral sliding mode controller in order to demonstrate the effectiveness of the adaptive sliding mode controller in terms of maintaining the performance guideline for mitigating powerline bushfires.
{"title":"Design of an Adaptive Sliding Mode Controller for Rapid Earth Fault Current Limiters in Resonant Grounded Distribution Networks to Mitigate Powerline Bushfires","authors":"T. K. Roy, M. A. Mahmud, S. K. Ghosh, M. Pramanik, R. Kumar, A. Oo","doi":"10.1109/TPEC51183.2021.9384989","DOIUrl":"https://doi.org/10.1109/TPEC51183.2021.9384989","url":null,"abstract":"This paper presents an adaptive sliding model controller for rapid earth fault current limiters (REFCLs) in resonant grounded power distribution networks to mitigate the impacts of powerline bushfires by compensating the fault current along with the faulty phase voltage. The powerline bushfire mitigation application using REFCLs with residual current compensation (RCC) inverters requires extremely fast response from the controller used for these inverters. The proposed adaptive sliding mode controller is designed based on the global terminal sliding surface (GTSS) in conjunction with a quick reaching law in order to achieve the fast compensation of the fault current and faulty phase voltage. Furthermore, a parameter adaptation law is used to estimate the parameter of the arc suppression coil used within REFCLs so that the controller provides robustness against parametric uncertainties. Rigorous simulations are carried out on a test distribution system to justify the effectiveness this newly proposed adaptive sliding mode controller in terms of eliminating the fault current and faulty phase voltage so that the impacts of powerline bushfires are minimized. Simulation results are also compared with an integral sliding mode controller in order to demonstrate the effectiveness of the adaptive sliding mode controller in terms of maintaining the performance guideline for mitigating powerline bushfires.","PeriodicalId":354018,"journal":{"name":"2021 IEEE Texas Power and Energy Conference (TPEC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126514622","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 : 2021-02-02DOI: 10.1109/TPEC51183.2021.9384942
C. Attaianese, P. De Falco, A. D. Pizzo, L. D. di Noia
This paper deals with the analysis of a prognostic technique able to analyze the health condition of traction motor bearings. While the methods commonly adopted in literature use vibration and acceleration signals, the proposed method is sensor-based and entirely based on an electromagnetic approach. The bearing conditions are monitored through the variation of the value of a high frequency inductance coil positioned near the bearing. The wear, the corrosion and the defects influence the magnetic behavior of metal parts of the bearing and therefore the total value of the coil inductance. The measurement data are processed in a regression model. The experimental results show the feasibility of the proposed prognostic technique.
{"title":"Bearing Failure Prognostic Method Based on High Frequency Inductance Variation in Electric Railway Traction Motors","authors":"C. Attaianese, P. De Falco, A. D. Pizzo, L. D. di Noia","doi":"10.1109/TPEC51183.2021.9384942","DOIUrl":"https://doi.org/10.1109/TPEC51183.2021.9384942","url":null,"abstract":"This paper deals with the analysis of a prognostic technique able to analyze the health condition of traction motor bearings. While the methods commonly adopted in literature use vibration and acceleration signals, the proposed method is sensor-based and entirely based on an electromagnetic approach. The bearing conditions are monitored through the variation of the value of a high frequency inductance coil positioned near the bearing. The wear, the corrosion and the defects influence the magnetic behavior of metal parts of the bearing and therefore the total value of the coil inductance. The measurement data are processed in a regression model. The experimental results show the feasibility of the proposed prognostic technique.","PeriodicalId":354018,"journal":{"name":"2021 IEEE Texas Power and Energy Conference (TPEC)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133407530","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 : 2021-02-02DOI: 10.1109/TPEC51183.2021.9384952
A. Ahmed, A. Iqbal, I. Khan, A. Al-Wahedi, H. Mehrjerdi, S. Rahman
The penetration of electric vehicles (EV) into the public distribution grid can create various technical issues related to the services' power quality and reliability. These impacts range from thermal limits violation of system components, harmonic distortion to the increase in demand, particularly during peak time. Total Harmonic Distortion (THD) is considered one of the leading causes of equipment failure due to the voltage waveform's distortion. In this paper, the public distribution network has been examined in terms of harmonic distortion percentage increase due to EV charging station penetration. The voltage profile is examined as the EV load increases to determine buses' capacity at certain THD levels. MATLAB/Simulink is utilized to obtain results where the THD from both medium and low voltage sides have been compared for a case of distribution network branch of Qatar Electricity & Water Company (QEWC).
{"title":"Impact of EV charging Station Penetration on Harmonic Distortion Level in Utility Distribution Network: A Case Study of Qatar","authors":"A. Ahmed, A. Iqbal, I. Khan, A. Al-Wahedi, H. Mehrjerdi, S. Rahman","doi":"10.1109/TPEC51183.2021.9384952","DOIUrl":"https://doi.org/10.1109/TPEC51183.2021.9384952","url":null,"abstract":"The penetration of electric vehicles (EV) into the public distribution grid can create various technical issues related to the services' power quality and reliability. These impacts range from thermal limits violation of system components, harmonic distortion to the increase in demand, particularly during peak time. Total Harmonic Distortion (THD) is considered one of the leading causes of equipment failure due to the voltage waveform's distortion. In this paper, the public distribution network has been examined in terms of harmonic distortion percentage increase due to EV charging station penetration. The voltage profile is examined as the EV load increases to determine buses' capacity at certain THD levels. MATLAB/Simulink is utilized to obtain results where the THD from both medium and low voltage sides have been compared for a case of distribution network branch of Qatar Electricity & Water Company (QEWC).","PeriodicalId":354018,"journal":{"name":"2021 IEEE Texas Power and Energy Conference (TPEC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125203877","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 : 2021-02-02DOI: 10.1109/TPEC51183.2021.9384982
Rui Ma, S. Eftekharnejad, Tianyun Zhang, M. Fardad
One effective way to estimate the impact of contingencies is to utilize linear distribution sensitivity factors, such as injection shift factor and line outage distribution factor. Compared to other impact estimation approaches, estimating the line flows with sensitivity factors is computationally less demanding, as a linearized DC power flow model is utilized. However, the accuracy of the power flow model is highly dependent on the received system information. Hence, wrong or missing system information can yield inaccurate results. Phasor Measurement Units provide measurements that can be used to estimate sensitivity factors such that the impact of wrong system model information can be minimized. This paper introduces a new methodology, based on the alternating direction method of multipliers, to leverage PMU data for estimating sensitivity factors. The developed methodology is particularly applicable to near real-time conditions, where the speed of estimation is of essence. The performance of the developed method is compared with the traditional estimation methods for multiple testbeds.
{"title":"A PMU-based Data-Driven Approach for Estimating the Injection Shift Factors","authors":"Rui Ma, S. Eftekharnejad, Tianyun Zhang, M. Fardad","doi":"10.1109/TPEC51183.2021.9384982","DOIUrl":"https://doi.org/10.1109/TPEC51183.2021.9384982","url":null,"abstract":"One effective way to estimate the impact of contingencies is to utilize linear distribution sensitivity factors, such as injection shift factor and line outage distribution factor. Compared to other impact estimation approaches, estimating the line flows with sensitivity factors is computationally less demanding, as a linearized DC power flow model is utilized. However, the accuracy of the power flow model is highly dependent on the received system information. Hence, wrong or missing system information can yield inaccurate results. Phasor Measurement Units provide measurements that can be used to estimate sensitivity factors such that the impact of wrong system model information can be minimized. This paper introduces a new methodology, based on the alternating direction method of multipliers, to leverage PMU data for estimating sensitivity factors. The developed methodology is particularly applicable to near real-time conditions, where the speed of estimation is of essence. The performance of the developed method is compared with the traditional estimation methods for multiple testbeds.","PeriodicalId":354018,"journal":{"name":"2021 IEEE Texas Power and Energy Conference (TPEC)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133019490","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 : 2021-02-02DOI: 10.1109/TPEC51183.2021.9384993
H. Parivar, M. Shivaie, Ahmad Darahi, M. Ansari
In this paper, the authors present an efficient direct torque control (DTC) for doubly fed induction generator (DFIG) in wind energy conversation systems (WECSs). The DFIGs are most employed in the WECSs because of their advantages, such as appropriate performance in variable wind speeds, control flexibility, and low cost. Many kinds of control techniques are proposed for the DFIG. One of the most simple and efficient control strategies with the fast-dynamic response is the DTC. The proposed control strategy is developed through a proportional-integral (PI) controller. This control strategy does not require any wind speed measurement and sensors. Moreover, in this strategy, torque ripple is a small amount; and then, the DTC can be used for rotor side converter (RSC). The new control strategy was analyzed and simulated in MATLAB/SIMULINK. The test system consists of a wind turbine model that drives a DFIG connected to the power grid through DC-link. It was also applied to a 2-pole, 0.2-KW DFIG. The obtained simulation results are illustrated pleasant and attractive advantages of the proposed control strategy, including simple control system structure, fast response, and easy integration of DFIG turbines with a large-scale power grid.
{"title":"An Efficient Direct Torque Control Strategy for a Doubly Fed Induction Generator (DFIG) in Wind Energy Conversation Systems","authors":"H. Parivar, M. Shivaie, Ahmad Darahi, M. Ansari","doi":"10.1109/TPEC51183.2021.9384993","DOIUrl":"https://doi.org/10.1109/TPEC51183.2021.9384993","url":null,"abstract":"In this paper, the authors present an efficient direct torque control (DTC) for doubly fed induction generator (DFIG) in wind energy conversation systems (WECSs). The DFIGs are most employed in the WECSs because of their advantages, such as appropriate performance in variable wind speeds, control flexibility, and low cost. Many kinds of control techniques are proposed for the DFIG. One of the most simple and efficient control strategies with the fast-dynamic response is the DTC. The proposed control strategy is developed through a proportional-integral (PI) controller. This control strategy does not require any wind speed measurement and sensors. Moreover, in this strategy, torque ripple is a small amount; and then, the DTC can be used for rotor side converter (RSC). The new control strategy was analyzed and simulated in MATLAB/SIMULINK. The test system consists of a wind turbine model that drives a DFIG connected to the power grid through DC-link. It was also applied to a 2-pole, 0.2-KW DFIG. The obtained simulation results are illustrated pleasant and attractive advantages of the proposed control strategy, including simple control system structure, fast response, and easy integration of DFIG turbines with a large-scale power grid.","PeriodicalId":354018,"journal":{"name":"2021 IEEE Texas Power and Energy Conference (TPEC)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127520721","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 : 2021-02-02DOI: 10.1109/TPEC51183.2021.9384980
Nursultan Ashenov, M. Myrzaliyeva, M. Mussakhanova, H. K. Nunna
Over the past decades, the importance of energy management has been raised due to increasing electricity demand and consumers' unawareness of their electricity consumption. The paper proposes a Home Energy Management System (HEMS) that implements an Artificial Neural Network (ANN) and reinforcement learning-based algorithm to schedule the home appliances as well as an optimized and efficient way of profiting from renewable energy source with the utilization of energy storage systems. The objective of the HEMS is to decrease energy cost, customer dissatisfaction, and grid overloading. Two types of appliances were considered: non-shiftable controllable, shiftable interruptible. A simulation of the case study where the forecasted values were fed to the HEMS algorithm demonstrated a total profit increase by 15% due to the renewable energy source, making the value of total profit 63.5 units in one day. The simulation was done for a single house loading profile and throughout the capacity change of the energy storage system, a maximum profit was derived. These results show the efficient function of HEMS with the utilization of the proposed ANN, reinforcement learning, and energy decision algorithm.
{"title":"Dynamic Cloud and ANN based Home Energy Management System for End-Users with Smart-Plugs and PV Generation","authors":"Nursultan Ashenov, M. Myrzaliyeva, M. Mussakhanova, H. K. Nunna","doi":"10.1109/TPEC51183.2021.9384980","DOIUrl":"https://doi.org/10.1109/TPEC51183.2021.9384980","url":null,"abstract":"Over the past decades, the importance of energy management has been raised due to increasing electricity demand and consumers' unawareness of their electricity consumption. The paper proposes a Home Energy Management System (HEMS) that implements an Artificial Neural Network (ANN) and reinforcement learning-based algorithm to schedule the home appliances as well as an optimized and efficient way of profiting from renewable energy source with the utilization of energy storage systems. The objective of the HEMS is to decrease energy cost, customer dissatisfaction, and grid overloading. Two types of appliances were considered: non-shiftable controllable, shiftable interruptible. A simulation of the case study where the forecasted values were fed to the HEMS algorithm demonstrated a total profit increase by 15% due to the renewable energy source, making the value of total profit 63.5 units in one day. The simulation was done for a single house loading profile and throughout the capacity change of the energy storage system, a maximum profit was derived. These results show the efficient function of HEMS with the utilization of the proposed ANN, reinforcement learning, and energy decision algorithm.","PeriodicalId":354018,"journal":{"name":"2021 IEEE Texas Power and Energy Conference (TPEC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126564590","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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