Pub Date : 2021-02-02DOI: 10.1109/TPEC51183.2021.9384950
Ahmed M. Zobaa, S. H. A. Abdel Aleem, H. Youssef
The increasing use of nonlinear loads in power systems generates harmonics, which adversely affects these systems' power quality performance. In this regard, double-tuned filters (DTFs) have received increasing attention in practice to mitigate the effects of power system harmonics. Different techniques have been presented in the literature to obtain the optimal design of DTF parameters using various optimization algorithms. In this work, three methods for designing DTFs- multi-arm method (MAM), direct design method (DDM), and analogy method (AM) between double-tuned and multi-arm single-tuned filters, are investigated and discussed. Further, an optimal design of DTF based on the three design methodologies is presented. A new metaheuristic optimization algorithm called the slime mould optimization algorithm (SMA) is employed to obtain the global filter parameters to minimize the active power losses of a distribution system with both source and load nonlinearities while enhancing the overall power quality performance of the system. The results obtained using the SMA are compared with the results obtained using other algorithms: salp swarm algorithm (SSA) and sine cosine algorithm (SCA) to show the proposed optimization algorithm's superiority and effectiveness.
{"title":"Comparative Analysis of Double-Tuned Harmonic Passive Filter Design Methodologies Using Slime Mould Optimization Algorithm","authors":"Ahmed M. Zobaa, S. H. A. Abdel Aleem, H. Youssef","doi":"10.1109/TPEC51183.2021.9384950","DOIUrl":"https://doi.org/10.1109/TPEC51183.2021.9384950","url":null,"abstract":"The increasing use of nonlinear loads in power systems generates harmonics, which adversely affects these systems' power quality performance. In this regard, double-tuned filters (DTFs) have received increasing attention in practice to mitigate the effects of power system harmonics. Different techniques have been presented in the literature to obtain the optimal design of DTF parameters using various optimization algorithms. In this work, three methods for designing DTFs- multi-arm method (MAM), direct design method (DDM), and analogy method (AM) between double-tuned and multi-arm single-tuned filters, are investigated and discussed. Further, an optimal design of DTF based on the three design methodologies is presented. A new metaheuristic optimization algorithm called the slime mould optimization algorithm (SMA) is employed to obtain the global filter parameters to minimize the active power losses of a distribution system with both source and load nonlinearities while enhancing the overall power quality performance of the system. The results obtained using the SMA are compared with the results obtained using other algorithms: salp swarm algorithm (SSA) and sine cosine algorithm (SCA) to show the proposed optimization algorithm's superiority and effectiveness.","PeriodicalId":354018,"journal":{"name":"2021 IEEE Texas Power and Energy Conference (TPEC)","volume":"69 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":"122709765","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/TPEC51183.2021.9384922
Fulin Fan, Yafang Li, S. Ziani, B. Stewart
Compared to traditional unidirectional substations, a reversible substation (RSS) permitting bidirectional power flows is an efficient approach to recovering the braking energy of trains and increasing the energy efficiency of DC traction power supply systems (TPSS). This paper develops two models to reflect the role of an RSS under high and low fidelities, focusing on the converter-and TPSS-level simulation respectively. A particular RSS topology consisting of a 12-pulse diode rectifier and an antiparallel active neutral point clamped voltage source inverter (VSI) is replicated in a high-fidelity model where the VSI is controlled to maintain a constant DC voltage in the braking mode. To reduce computation burden, a low-fidelity model simplifies the rectifier into a diode in series with a controlled voltage source (CVS) that reflects its nonlinear output characteristics, and connects a DC voltage source in parallel with the CVS branch, permitting the delivery of braking power to the RSS under the constant DC voltage control. The two models are tested based on a simplified 1.5 kV TPSS and discussed alongside the consistency in the simulation of the power exchange and voltage transients at the RSS in traction and braking modes.
{"title":"Reversible Substation Modelling with Regenerative Braking in DC Traction Power Supply Systems","authors":"Fulin Fan, Yafang Li, S. Ziani, B. Stewart","doi":"10.1109/TPEC51183.2021.9384922","DOIUrl":"https://doi.org/10.1109/TPEC51183.2021.9384922","url":null,"abstract":"Compared to traditional unidirectional substations, a reversible substation (RSS) permitting bidirectional power flows is an efficient approach to recovering the braking energy of trains and increasing the energy efficiency of DC traction power supply systems (TPSS). This paper develops two models to reflect the role of an RSS under high and low fidelities, focusing on the converter-and TPSS-level simulation respectively. A particular RSS topology consisting of a 12-pulse diode rectifier and an antiparallel active neutral point clamped voltage source inverter (VSI) is replicated in a high-fidelity model where the VSI is controlled to maintain a constant DC voltage in the braking mode. To reduce computation burden, a low-fidelity model simplifies the rectifier into a diode in series with a controlled voltage source (CVS) that reflects its nonlinear output characteristics, and connects a DC voltage source in parallel with the CVS branch, permitting the delivery of braking power to the RSS under the constant DC voltage control. The two models are tested based on a simplified 1.5 kV TPSS and discussed alongside the consistency in the simulation of the power exchange and voltage transients at the RSS in traction and braking modes.","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":"131345685","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/TPEC51183.2021.9384924
A. Iqbal, M. Siddique, B. P. Reddy, I. Khan
The switched-capacitor boost inverters based on the reduced component count has been the latest development for solar PV utilization along with ac systems with the high-frequency operation. The higher voltage gain, sensorless system for self-voltage balancing makes SC-based multilevel inverters (MLIs) a perfect choice for PV applications. In this article, a boost inverter topology with 9 level output has been presented which features the boost of the input voltage. A voltage gain of four is achieved with a single input source, 12 semiconductor devices while three capacitors of source voltage rating exhibit the self-balancing of their voltage. The proposed 9L-SCBI is tested under various conditions through simulation results and experimentally validated with several experimental results.
{"title":"A High Gain 9L Switched-Capacitor Boost Inverter (9L-SCMI) With Reduced Component Count","authors":"A. Iqbal, M. Siddique, B. P. Reddy, I. Khan","doi":"10.1109/TPEC51183.2021.9384924","DOIUrl":"https://doi.org/10.1109/TPEC51183.2021.9384924","url":null,"abstract":"The switched-capacitor boost inverters based on the reduced component count has been the latest development for solar PV utilization along with ac systems with the high-frequency operation. The higher voltage gain, sensorless system for self-voltage balancing makes SC-based multilevel inverters (MLIs) a perfect choice for PV applications. In this article, a boost inverter topology with 9 level output has been presented which features the boost of the input voltage. A voltage gain of four is achieved with a single input source, 12 semiconductor devices while three capacitors of source voltage rating exhibit the self-balancing of their voltage. The proposed 9L-SCBI is tested under various conditions through simulation results and experimentally validated with several experimental results.","PeriodicalId":354018,"journal":{"name":"2021 IEEE Texas Power and Energy Conference (TPEC)","volume":"36 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":"132373853","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/TPEC51183.2021.9384974
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/TPEC51183.2021.9384942
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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