Pub Date : 2022-12-02DOI: 10.1109/ETECTE55893.2022.10007123
F. Mumtaz, H. H. Khan, Muhammad Usman Haider, Muhammad Bin Younas, M. Mohsin, Muhammad Zeeshan
Active distribution networks (ADNs) are the modern power networks that are cultivated due to the widespread dispersion of renewable energy resources (RERs) near consumer territory. However, faults detection and classification is an issue in such ADNs owing to the low current level during faults, and bidirectional power flows. This paper establishes a new fault detection and classification method for ADNs. In the first stage, a discrete Kalman filter (DKF) is implemented on measured current signals for noise-less state estimations. In the second stage, the second-order low pass filter (SOLPF) is implemented to the per phase current signature to take out the desired filtered features (DFF). Furthermore, the DFF of the current signal is squared, and then the exponential is taken to compute the single-phase fault detection & classification index (SPFD&CI). If the SPFD&CI of any phase is more than a constant threshold level the associated phase is deliberately faulty. Moreover, due to phase segregation, the fault categorization is autonomous. The suggested approach is tested in MATLAB/Simulink firmware on the ADN's tested. The results show that, in various cases, the suggested technique detects and classifies all varieties of fault conditions with less than 1/2 a cycle.
{"title":"Two-Stage Hybrid-Filtering Based Fault Detection & Classification method for Active Distribution Networks","authors":"F. Mumtaz, H. H. Khan, Muhammad Usman Haider, Muhammad Bin Younas, M. Mohsin, Muhammad Zeeshan","doi":"10.1109/ETECTE55893.2022.10007123","DOIUrl":"https://doi.org/10.1109/ETECTE55893.2022.10007123","url":null,"abstract":"Active distribution networks (ADNs) are the modern power networks that are cultivated due to the widespread dispersion of renewable energy resources (RERs) near consumer territory. However, faults detection and classification is an issue in such ADNs owing to the low current level during faults, and bidirectional power flows. This paper establishes a new fault detection and classification method for ADNs. In the first stage, a discrete Kalman filter (DKF) is implemented on measured current signals for noise-less state estimations. In the second stage, the second-order low pass filter (SOLPF) is implemented to the per phase current signature to take out the desired filtered features (DFF). Furthermore, the DFF of the current signal is squared, and then the exponential is taken to compute the single-phase fault detection & classification index (SPFD&CI). If the SPFD&CI of any phase is more than a constant threshold level the associated phase is deliberately faulty. Moreover, due to phase segregation, the fault categorization is autonomous. The suggested approach is tested in MATLAB/Simulink firmware on the ADN's tested. The results show that, in various cases, the suggested technique detects and classifies all varieties of fault conditions with less than 1/2 a cycle.","PeriodicalId":131572,"journal":{"name":"2022 International Conference on Emerging Trends in Electrical, Control, and Telecommunication Engineering (ETECTE)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116793378","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 : 2022-12-02DOI: 10.1109/ETECTE55893.2022.10007358
Abdullah Sabir, Fahad Ilyas, T. Tauqeer, Muhammad Sohaib
In this paper, we worked on the development of an IoT-based, low-cost industrial solution for the Automatic operation of 10 (Three-Phase Induction) motors installed at the disposal station. Manual operation of a large number of motors at the disposal station is a rigorous process that involves constant monitoring of wastewater levels in the wells and operating motors accordingly. The chance of human error in this situation is high which also involves risk to the expensive machinery. The proposed solution provides contactless operation of motors hence keeping the wastewater in wells to their minimum level while reducing the load in sanitation lines. The system is also capable of Auto/Manual mode selection, monitoring the level of water in wells through ultrasonic sensors, avoiding dry runs by operating the motors at an optimum level, and monitoring the running status of motors. Moreover, all this data can be visualized graphically on the web server for the required date and time. The comparison of results before and after the installation of this system shows significant energy conservation results which make this system feasible to install at large facilities.
{"title":"Energy Conservation of Three-Phase Induction Motors Through IoT-Enabled Intelligent Operation Management System","authors":"Abdullah Sabir, Fahad Ilyas, T. Tauqeer, Muhammad Sohaib","doi":"10.1109/ETECTE55893.2022.10007358","DOIUrl":"https://doi.org/10.1109/ETECTE55893.2022.10007358","url":null,"abstract":"In this paper, we worked on the development of an IoT-based, low-cost industrial solution for the Automatic operation of 10 (Three-Phase Induction) motors installed at the disposal station. Manual operation of a large number of motors at the disposal station is a rigorous process that involves constant monitoring of wastewater levels in the wells and operating motors accordingly. The chance of human error in this situation is high which also involves risk to the expensive machinery. The proposed solution provides contactless operation of motors hence keeping the wastewater in wells to their minimum level while reducing the load in sanitation lines. The system is also capable of Auto/Manual mode selection, monitoring the level of water in wells through ultrasonic sensors, avoiding dry runs by operating the motors at an optimum level, and monitoring the running status of motors. Moreover, all this data can be visualized graphically on the web server for the required date and time. The comparison of results before and after the installation of this system shows significant energy conservation results which make this system feasible to install at large facilities.","PeriodicalId":131572,"journal":{"name":"2022 International Conference on Emerging Trends in Electrical, Control, and Telecommunication Engineering (ETECTE)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121021072","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 : 2022-12-02DOI: 10.1109/ETECTE55893.2022.10007332
Saqib Ayuob, Qaiser Bashir, M. Mahmood, Jamsheed Sajid, Tehreem Asif
Globally there is an increase in demand for sustainable energy as compared to fossil fuels due to lesser carbon emissions. Moreover, an increase in the adoption of clean energy in underdeveloped countries is observed and sunlight-based energy technologies turned out to be emerging trends in developing countries. A solar collector is a widely used technology that typically uses helical coil-based heat exchangers to transport heat energy from the collector to the storage tank. Premises of our research is to determine the effects of different geometric parameter on heat transfer from the coil to the water inside the tank, and for this purpose, a validated CFD-based model is used. Geometric alternations were made to the validated model and 30 minutes flow time simulations were carried out for each model. It was discovered that an increase in diameter of the pipe, pitch & height of the coil results in a decrease in external heat transfer coefficient (HTC), and the inverse was studied for the length of the pipe. Although, the curvature ratio of the coil in comparison with HTC did not portray any specific trend. Lastly, the vertical gap between the coil and upper boundary of the tank, and the lateral gap between the coil and side wall of the tank turned out to be essential parameters. Both displayed increase in HTC with the increase in distance.
{"title":"A simulation-based parametric study for determining the relation between geometric parameters of a vertical helical coil with external heat transfer coefficient","authors":"Saqib Ayuob, Qaiser Bashir, M. Mahmood, Jamsheed Sajid, Tehreem Asif","doi":"10.1109/ETECTE55893.2022.10007332","DOIUrl":"https://doi.org/10.1109/ETECTE55893.2022.10007332","url":null,"abstract":"Globally there is an increase in demand for sustainable energy as compared to fossil fuels due to lesser carbon emissions. Moreover, an increase in the adoption of clean energy in underdeveloped countries is observed and sunlight-based energy technologies turned out to be emerging trends in developing countries. A solar collector is a widely used technology that typically uses helical coil-based heat exchangers to transport heat energy from the collector to the storage tank. Premises of our research is to determine the effects of different geometric parameter on heat transfer from the coil to the water inside the tank, and for this purpose, a validated CFD-based model is used. Geometric alternations were made to the validated model and 30 minutes flow time simulations were carried out for each model. It was discovered that an increase in diameter of the pipe, pitch & height of the coil results in a decrease in external heat transfer coefficient (HTC), and the inverse was studied for the length of the pipe. Although, the curvature ratio of the coil in comparison with HTC did not portray any specific trend. Lastly, the vertical gap between the coil and upper boundary of the tank, and the lateral gap between the coil and side wall of the tank turned out to be essential parameters. Both displayed increase in HTC with the increase in distance.","PeriodicalId":131572,"journal":{"name":"2022 International Conference on Emerging Trends in Electrical, Control, and Telecommunication Engineering (ETECTE)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126430836","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 : 2022-12-02DOI: 10.1109/ETECTE55893.2022.10007095
Muhammad Uzair Khalid, H. Khalid, Afzaal A. Khan, Hasaan Farooq, Muhammad Muzammil Farooqi
With the high penetration of power electronics-based wind farms being integrated into power grids, proper modeling and control of large wind turbines is a prominent challenge in modern power systems. Thus, accurate mathematical modeling of the Doubly-fed induction generator (DFIG) along with its control is desperately needed. In this paper, modeling, control, and steady-state validation of a 5th order model of DFIG is presented. A vector control scheme is developed for the stator side and rotor side converters to keep constant DC link voltage and to capture maximum power from the wind. The d-q synchronous coordinate system is utilized to derive 5th order DFIG model in which the q-axis of the rotating coordinate system rotates at the nominal grid frequency. Stator flux, rotor flux, and rotor speed were selected as state variables for state space representation of the DFIG model. Experimentally, the simulations are done in EMTDC/PSCAD and the results were carried out on 1.73 MVA DFIG-based Industrial Wind Turbine data and then validate it with the actual one.
{"title":"5th order Modeling, Control and Steady-State Validation of Wind Turbine Based on DFIG","authors":"Muhammad Uzair Khalid, H. Khalid, Afzaal A. Khan, Hasaan Farooq, Muhammad Muzammil Farooqi","doi":"10.1109/ETECTE55893.2022.10007095","DOIUrl":"https://doi.org/10.1109/ETECTE55893.2022.10007095","url":null,"abstract":"With the high penetration of power electronics-based wind farms being integrated into power grids, proper modeling and control of large wind turbines is a prominent challenge in modern power systems. Thus, accurate mathematical modeling of the Doubly-fed induction generator (DFIG) along with its control is desperately needed. In this paper, modeling, control, and steady-state validation of a 5th order model of DFIG is presented. A vector control scheme is developed for the stator side and rotor side converters to keep constant DC link voltage and to capture maximum power from the wind. The d-q synchronous coordinate system is utilized to derive 5th order DFIG model in which the q-axis of the rotating coordinate system rotates at the nominal grid frequency. Stator flux, rotor flux, and rotor speed were selected as state variables for state space representation of the DFIG model. Experimentally, the simulations are done in EMTDC/PSCAD and the results were carried out on 1.73 MVA DFIG-based Industrial Wind Turbine data and then validate it with the actual one.","PeriodicalId":131572,"journal":{"name":"2022 International Conference on Emerging Trends in Electrical, Control, and Telecommunication Engineering (ETECTE)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115827568","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 : 2022-12-02DOI: 10.1109/ETECTE55893.2022.10007201
Muhammad Arif Anwar, Li Wang, K. Qureshi, G. Abbas, U. Farooq
Modern aircraft adopt a three-stage generator power system with variable frequency. It is difficult to ensure the dynamic performance of this system because of its complex architecture, and designing a controller for this system is also challenging as well. Therefore, this study reviews and briefly discusses a number of control strategies for three-stage generators used in AC and DC power systems for aircraft applications under a variety of speed and load variations. The performance of different strategies is evaluated based on settling time and percentage overshoot in steady and transient states; their results are summarized in Table I.
{"title":"A Systematic Review on Control Strategies of Three Stage Generator for More Electric Aircraft Power System","authors":"Muhammad Arif Anwar, Li Wang, K. Qureshi, G. Abbas, U. Farooq","doi":"10.1109/ETECTE55893.2022.10007201","DOIUrl":"https://doi.org/10.1109/ETECTE55893.2022.10007201","url":null,"abstract":"Modern aircraft adopt a three-stage generator power system with variable frequency. It is difficult to ensure the dynamic performance of this system because of its complex architecture, and designing a controller for this system is also challenging as well. Therefore, this study reviews and briefly discusses a number of control strategies for three-stage generators used in AC and DC power systems for aircraft applications under a variety of speed and load variations. The performance of different strategies is evaluated based on settling time and percentage overshoot in steady and transient states; their results are summarized in Table I.","PeriodicalId":131572,"journal":{"name":"2022 International Conference on Emerging Trends in Electrical, Control, and Telecommunication Engineering (ETECTE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123535637","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 : 2022-12-02DOI: 10.1109/ETECTE55893.2022.10007402
Zarish, B. Wajid, Umar Rashid, Sajida Zahid, Faria Anwar, F. G. Awan, Abdul Rauf Anwar, Imran Wajid
Survival rate prediction for medical diseases is a complex task that requires high precision. With a low survival rate among reported patients, leukemia is a type of cancer of blood which is caused by the abnormal growth of white blood cells. It is critical to numerically evaluate the rate of survivability of patients suffering from leukemia. To this end, this paper employs a comprehensive database, namely Surveillance, Epidemiology, and End Results (SEER) maintained by The National Cancer Institute in MD, USA, to construct a survivability model for leukemia patients. To accurately predict the survival months of the patients, we develop a multi-class classification problem by binning the target variable into four bins. The resulting accuracy is improved by utilizing a multi-tier classification framework. Although, the final numerical results hold significance from biological viewpoint, it is recommended that a clinically relevant model be drawn with caution.
医学疾病的生存率预测是一项复杂的任务，需要很高的精度。白血病是一种由白细胞异常生长引起的血癌，在报道的患者中存活率很低。对白血病患者的存活率进行数值评估是至关重要的。为此，本文利用美国MD国家癌症研究所(The National Cancer Institute in MD, USA)的监测、流行病学和最终结果(SEER)综合数据库，构建白血病患者的生存能力模型。为了准确预测患者的生存月数，我们通过将目标变量分为四个bin，开发了一个多类分类问题。通过使用多层分类框架，提高了结果的准确性。虽然最终的数值结果从生物学角度来看具有重要意义，但建议谨慎绘制临床相关模型。
{"title":"Survival Rate Prediction of Blood Cancer (Leukemia) Patients Using Machine Learning Algorithms","authors":"Zarish, B. Wajid, Umar Rashid, Sajida Zahid, Faria Anwar, F. G. Awan, Abdul Rauf Anwar, Imran Wajid","doi":"10.1109/ETECTE55893.2022.10007402","DOIUrl":"https://doi.org/10.1109/ETECTE55893.2022.10007402","url":null,"abstract":"Survival rate prediction for medical diseases is a complex task that requires high precision. With a low survival rate among reported patients, leukemia is a type of cancer of blood which is caused by the abnormal growth of white blood cells. It is critical to numerically evaluate the rate of survivability of patients suffering from leukemia. To this end, this paper employs a comprehensive database, namely Surveillance, Epidemiology, and End Results (SEER) maintained by The National Cancer Institute in MD, USA, to construct a survivability model for leukemia patients. To accurately predict the survival months of the patients, we develop a multi-class classification problem by binning the target variable into four bins. The resulting accuracy is improved by utilizing a multi-tier classification framework. Although, the final numerical results hold significance from biological viewpoint, it is recommended that a clinically relevant model be drawn with caution.","PeriodicalId":131572,"journal":{"name":"2022 International Conference on Emerging Trends in Electrical, Control, and Telecommunication Engineering (ETECTE)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129174776","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 : 2022-12-02DOI: 10.1109/ETECTE55893.2022.10007183
M. U. Sardar, Dou Manfeng, Umar Saleem, Muhammad Kashif Nawaz, Mannan Hassan
Unlike the conventionally fueled vehicles used in the transportation system, electric vehicles emit zero carbon content or any hazardous discharge as they are highly environmentally friendly. Therefore, an optimized electric motor design for excellent performance has become a requirement for electric vehicle drive system developments in the automotive industry.. This paper includes a scholarly review of previously adapted optimization algorithms and a case study of optimizing the permanent magnet synchronous motor with a V-type buried magnet (IPMSM) design from the rotor side. This gave optimal placement of the magnets and geometric positions. Using the optimizing algorithms, smaller magnet sizes and other optimized parameters have been achieved, effectively ensuring higher performance requirements and efficient use in electric vehicle applications. The results are validated through the FEA analysis and optimization done by the OptiSLang software.
{"title":"A Scholarly Review of Methods for Design Optimization of IPM Synchronous Motors Used in Electric Vehicles","authors":"M. U. Sardar, Dou Manfeng, Umar Saleem, Muhammad Kashif Nawaz, Mannan Hassan","doi":"10.1109/ETECTE55893.2022.10007183","DOIUrl":"https://doi.org/10.1109/ETECTE55893.2022.10007183","url":null,"abstract":"Unlike the conventionally fueled vehicles used in the transportation system, electric vehicles emit zero carbon content or any hazardous discharge as they are highly environmentally friendly. Therefore, an optimized electric motor design for excellent performance has become a requirement for electric vehicle drive system developments in the automotive industry.. This paper includes a scholarly review of previously adapted optimization algorithms and a case study of optimizing the permanent magnet synchronous motor with a V-type buried magnet (IPMSM) design from the rotor side. This gave optimal placement of the magnets and geometric positions. Using the optimizing algorithms, smaller magnet sizes and other optimized parameters have been achieved, effectively ensuring higher performance requirements and efficient use in electric vehicle applications. The results are validated through the FEA analysis and optimization done by the OptiSLang software.","PeriodicalId":131572,"journal":{"name":"2022 International Conference on Emerging Trends in Electrical, Control, and Telecommunication Engineering (ETECTE)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126735806","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}
Almost every part of the economy relies on the transportation industry. The road transportation sector is one of the numerous types of transport sectors. As a vehicle's continual use causes damage, inefficiency, and faults in numerous parts, etc. Timely maintenance prevents or fixes these issues. Aiming at the requirements of vehicle health monitoring, this article studies and designs the cloud computing collaborative vehicle health monitoring network system and proposes the allocation of data transmission paths with an ant colony algorithm as the core. On this basis, it studies the construction of autonomous vehicle health status detection systems based on cloud and fog collaborative computing and gives the system level composition and system framework scheme. In the system, data is collected by sensor equipment and then transmitted, stored, and comprehensively processed. The obtained data provides a technical basis for automobile health detection. Through the construction of a simulation environment, it shows that the algorithm can adjust to the dynamic features of cloud system networks in the environment of road strength construction. The ant colony optimization (ACO) algorithm is a type of probabilistic algorithm that determines the best route through a graph. As compared with the shortest path first (SPF) algorithm and the brute force (BF) storm algorithm in terms of average throughput and response time, it is more suitable for cloud and fog collaborative network transmission environments.
{"title":"Autonomous Vehicle Health Monitoring Based on Cloud-Fog Computing","authors":"Nida Jabeen, Runfang Hao, Ashfaq Niaz, Muhammad Usman Shoukat, Fahim Niaz, Mehran Arshad Khan","doi":"10.1109/ETECTE55893.2022.10007162","DOIUrl":"https://doi.org/10.1109/ETECTE55893.2022.10007162","url":null,"abstract":"Almost every part of the economy relies on the transportation industry. The road transportation sector is one of the numerous types of transport sectors. As a vehicle's continual use causes damage, inefficiency, and faults in numerous parts, etc. Timely maintenance prevents or fixes these issues. Aiming at the requirements of vehicle health monitoring, this article studies and designs the cloud computing collaborative vehicle health monitoring network system and proposes the allocation of data transmission paths with an ant colony algorithm as the core. On this basis, it studies the construction of autonomous vehicle health status detection systems based on cloud and fog collaborative computing and gives the system level composition and system framework scheme. In the system, data is collected by sensor equipment and then transmitted, stored, and comprehensively processed. The obtained data provides a technical basis for automobile health detection. Through the construction of a simulation environment, it shows that the algorithm can adjust to the dynamic features of cloud system networks in the environment of road strength construction. The ant colony optimization (ACO) algorithm is a type of probabilistic algorithm that determines the best route through a graph. As compared with the shortest path first (SPF) algorithm and the brute force (BF) storm algorithm in terms of average throughput and response time, it is more suitable for cloud and fog collaborative network transmission environments.","PeriodicalId":131572,"journal":{"name":"2022 International Conference on Emerging Trends in Electrical, Control, and Telecommunication Engineering (ETECTE)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115966148","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 : 2022-12-02DOI: 10.1109/ETECTE55893.2022.10007189
Awais Ahmad, H. D. Tafti, G. Konstantinou, B. Hredzak, J. Fletcher
Constantly changing dynamics of the power generation systems and increasing interest in power generation from distributed photovoltaic (DPV) systems is challenging for transmission and distribution systems, making things complicated for service providers. The lack of control and visibility over these DPVs from system operators causes problems in the power distribution system, especially during grid disturbances. The researcher's concern increased towards understanding the effects of grid disturbance on DPV inverters for a reliable network. Although technical standards provide guidance to DPV inverters for expected performance and behaviour, some guidelines are unclear under different grid disturbances. The behaviour of grid-connected inverters to voltage disturbances is critical for designing load composite models and tuning their parameters in planning power reserve requirements. The behaviour of single inverters is insufficient to understand the response of multiple inverters under such grid disturbances as distribution networks comprise several integrated DPV inverters. For this reason, the sensitivity analysis of 31 single-phase grid-connected DPV inverters was experimentally analyzed for fast voltage sag disturbance. DPV inverters behaviour is classified as i) ride-Through, ii) power curtailment, and iii) disconnection. The undesirable behaviour of DPV inverters threatens the stability of power systems with high DPV generation. The objective is to provide evidence to system operators for proper power scheduling and help in standard development.
{"title":"Sensitivity Analysis of Grid-Connected Single-Phase Photovoltaic Inverters to Fast Voltage Sag Disturbance","authors":"Awais Ahmad, H. D. Tafti, G. Konstantinou, B. Hredzak, J. Fletcher","doi":"10.1109/ETECTE55893.2022.10007189","DOIUrl":"https://doi.org/10.1109/ETECTE55893.2022.10007189","url":null,"abstract":"Constantly changing dynamics of the power generation systems and increasing interest in power generation from distributed photovoltaic (DPV) systems is challenging for transmission and distribution systems, making things complicated for service providers. The lack of control and visibility over these DPVs from system operators causes problems in the power distribution system, especially during grid disturbances. The researcher's concern increased towards understanding the effects of grid disturbance on DPV inverters for a reliable network. Although technical standards provide guidance to DPV inverters for expected performance and behaviour, some guidelines are unclear under different grid disturbances. The behaviour of grid-connected inverters to voltage disturbances is critical for designing load composite models and tuning their parameters in planning power reserve requirements. The behaviour of single inverters is insufficient to understand the response of multiple inverters under such grid disturbances as distribution networks comprise several integrated DPV inverters. For this reason, the sensitivity analysis of 31 single-phase grid-connected DPV inverters was experimentally analyzed for fast voltage sag disturbance. DPV inverters behaviour is classified as i) ride-Through, ii) power curtailment, and iii) disconnection. The undesirable behaviour of DPV inverters threatens the stability of power systems with high DPV generation. The objective is to provide evidence to system operators for proper power scheduling and help in standard development.","PeriodicalId":131572,"journal":{"name":"2022 International Conference on Emerging Trends in Electrical, Control, and Telecommunication Engineering (ETECTE)","volume":"137 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122910430","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 : 2022-12-02DOI: 10.1109/ETECTE55893.2022.10007301
S. Khalid, Haleema Ushaq, Hadia Ushaq, K. Bashir, Muhammad Shahid
Pakistan, as a developing nation with a growing population and an expanding economy, must deal with growing electricity demand. At the moment, Pakistan is heavily reliant on fossil fuels, the majority of which are imported, to meet its electricity needs, thus exerting immense pressure on its already over-burdened economy. With the world's growing use of wind energy (WE), lower prices of renewable energy technology (RETs), and enhanced efficiency and reliability, WE can be a good alternate solution to Pakistan's reliance on fossil fuels, which will most certainly increase in price in the future. In this regard, significant WE resources may be found along the 1,046 km southern coastline and in a few locations in the north's hilly regions. This enormous potential can be utilized to generate electricity on a local level as well as at the size of large-scale wind farms. This study explores the potential for WE in Pakistan and outlines the necessary steps for its development and its associated challenges.
{"title":"An Outlook of Wind Energy Technology: Prospects and Challenges for Pakistan","authors":"S. Khalid, Haleema Ushaq, Hadia Ushaq, K. Bashir, Muhammad Shahid","doi":"10.1109/ETECTE55893.2022.10007301","DOIUrl":"https://doi.org/10.1109/ETECTE55893.2022.10007301","url":null,"abstract":"Pakistan, as a developing nation with a growing population and an expanding economy, must deal with growing electricity demand. At the moment, Pakistan is heavily reliant on fossil fuels, the majority of which are imported, to meet its electricity needs, thus exerting immense pressure on its already over-burdened economy. With the world's growing use of wind energy (WE), lower prices of renewable energy technology (RETs), and enhanced efficiency and reliability, WE can be a good alternate solution to Pakistan's reliance on fossil fuels, which will most certainly increase in price in the future. In this regard, significant WE resources may be found along the 1,046 km southern coastline and in a few locations in the north's hilly regions. This enormous potential can be utilized to generate electricity on a local level as well as at the size of large-scale wind farms. This study explores the potential for WE in Pakistan and outlines the necessary steps for its development and its associated challenges.","PeriodicalId":131572,"journal":{"name":"2022 International Conference on Emerging Trends in Electrical, Control, and Telecommunication Engineering (ETECTE)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122954629","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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