Pub Date : 2022-08-30DOI: 10.1109/UPEC55022.2022.9917930
M. El‐Dalahmeh, M. Al-Greer, Ma’d El-Dalahmeh, Imran Bashir
Accurate real-time prognostic health management (PHM) estimation is essential to lithium-ion battery safety and efficiency. Recent work on developing a framework to predict remaining useful life (RUL) has primarily focused on the traditional empirical degradation model due to its simplicity. Although this model works well under specific operational conditions, for online RUL prediction it may lack the ability to describe capacity degradation, given the variability in decline between cells and others under different operational conditions. As such, this can result in inaccurate RUL prediction. Therefore, this work proposes a hybrid approach to improve the accuracy of online forecasting in the existing framework by integrating data-driven and model-based approaches. The proposed framework utilises the neural network (NN) to model and track battery degradation trends, and it also degrades the initial values of the degradation model’s transactions under different operating conditions. Furthermore, the proposed hybrid framework includes smooth particle filter (SPF) algorithm, which continuously updates the degradation NN model. Lithium-ion battery capacity degradation datasets from the Centre for Advanced Life Cycle Engineering (CALCE) were used to evaluate the proposed paradigm. The results show that the proposed hybrid framework is more accurate and improves the convergence rate compared to the traditional capacity prognostic framework
{"title":"Online Hybrid Prognostic Health Management Prediction Using a Neural Network and Smooth Particle Filter for Lithium-ion Batteries","authors":"M. El‐Dalahmeh, M. Al-Greer, Ma’d El-Dalahmeh, Imran Bashir","doi":"10.1109/UPEC55022.2022.9917930","DOIUrl":"https://doi.org/10.1109/UPEC55022.2022.9917930","url":null,"abstract":"Accurate real-time prognostic health management (PHM) estimation is essential to lithium-ion battery safety and efficiency. Recent work on developing a framework to predict remaining useful life (RUL) has primarily focused on the traditional empirical degradation model due to its simplicity. Although this model works well under specific operational conditions, for online RUL prediction it may lack the ability to describe capacity degradation, given the variability in decline between cells and others under different operational conditions. As such, this can result in inaccurate RUL prediction. Therefore, this work proposes a hybrid approach to improve the accuracy of online forecasting in the existing framework by integrating data-driven and model-based approaches. The proposed framework utilises the neural network (NN) to model and track battery degradation trends, and it also degrades the initial values of the degradation model’s transactions under different operating conditions. Furthermore, the proposed hybrid framework includes smooth particle filter (SPF) algorithm, which continuously updates the degradation NN model. Lithium-ion battery capacity degradation datasets from the Centre for Advanced Life Cycle Engineering (CALCE) were used to evaluate the proposed paradigm. The results show that the proposed hybrid framework is more accurate and improves the convergence rate compared to the traditional capacity prognostic framework","PeriodicalId":371561,"journal":{"name":"2022 57th International Universities Power Engineering Conference (UPEC)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123588760","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 : 2022-08-30DOI: 10.1109/UPEC55022.2022.9917699
F. Al-Jowder
This paper studies the influence of a strong gust wind on the transient stability of a power system with Fixed Speed Wind Turbine Generators (FSWTGs). The IEEE first benchmark model (IEEE-FBM) for Subsynchronous Resonance (SSR) studies has been adopted and modified to perform the study. The influence of wind gust duration and magnitude on transient stability of the system is investigated using Equal Area Criterion and time domain simulations. The influence of the pitch angle controller of FSWTGs is also studied. Simulation results showed that the system under strong wind gusts with higher magnitude and shorter duration becomes unstable. In addition, it shows that including the model of pitch angle controller in FSWTGs modelling improves the transient stability of the system.
{"title":"Influence of Strong Wind Gust on Transient Stability of Power System with FSWTGs","authors":"F. Al-Jowder","doi":"10.1109/UPEC55022.2022.9917699","DOIUrl":"https://doi.org/10.1109/UPEC55022.2022.9917699","url":null,"abstract":"This paper studies the influence of a strong gust wind on the transient stability of a power system with Fixed Speed Wind Turbine Generators (FSWTGs). The IEEE first benchmark model (IEEE-FBM) for Subsynchronous Resonance (SSR) studies has been adopted and modified to perform the study. The influence of wind gust duration and magnitude on transient stability of the system is investigated using Equal Area Criterion and time domain simulations. The influence of the pitch angle controller of FSWTGs is also studied. Simulation results showed that the system under strong wind gusts with higher magnitude and shorter duration becomes unstable. In addition, it shows that including the model of pitch angle controller in FSWTGs modelling improves the transient stability of the system.","PeriodicalId":371561,"journal":{"name":"2022 57th International Universities Power Engineering Conference (UPEC)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115130661","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 : 2022-08-30DOI: 10.1109/UPEC55022.2022.9917732
B. Ahmadi, Aditya Pappu, Gerwin Hoogsteen, J. Hurink
This paper studies a multi-objective optimization problem on the allocation problem of photovoltaic (PV) and battery energy storage systems (BESSs) in a community, whereby the aim is to find Pareto optimal solutions according to two different set of objective functions. These objective functions are minimizing the dependency of the whole community or each household on the national grid and minimizing the investment, operation, and maintenance costs of PV and BESS units. A Parallel Multi-Objective Multi-Verse optimization (PMOMVO) algorithm is developed to obtain the Pareto optimal solutions for the problems. The optimization framework is used to determine all Pareto front solutions in a real community and the results are compared to the base case scenario of the community. The Pareto solutions show that by small investment in the BESS units, community can be less dependent on the national grid even with less PV panels installed in the community.
{"title":"Multi-Objective Optimization Framework for Integration of Distributed Energy Resources in Smart Communities","authors":"B. Ahmadi, Aditya Pappu, Gerwin Hoogsteen, J. Hurink","doi":"10.1109/UPEC55022.2022.9917732","DOIUrl":"https://doi.org/10.1109/UPEC55022.2022.9917732","url":null,"abstract":"This paper studies a multi-objective optimization problem on the allocation problem of photovoltaic (PV) and battery energy storage systems (BESSs) in a community, whereby the aim is to find Pareto optimal solutions according to two different set of objective functions. These objective functions are minimizing the dependency of the whole community or each household on the national grid and minimizing the investment, operation, and maintenance costs of PV and BESS units. A Parallel Multi-Objective Multi-Verse optimization (PMOMVO) algorithm is developed to obtain the Pareto optimal solutions for the problems. The optimization framework is used to determine all Pareto front solutions in a real community and the results are compared to the base case scenario of the community. The Pareto solutions show that by small investment in the BESS units, community can be less dependent on the national grid even with less PV panels installed in the community.","PeriodicalId":371561,"journal":{"name":"2022 57th International Universities Power Engineering Conference (UPEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130834611","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 : 2022-08-30DOI: 10.1109/UPEC55022.2022.9917681
A. D. Fazio, S. Perna, M. Santis
The voltage control is a challenging task in active distribution networks, due to the increasing penetration of distributed energy resources (DERs). Voltage regulation devices (VRDs) can suffer the presence of DERs due to reverse power flows along feeders. A previous Jacobian-based method for sensitivity analysis of radial distribution system, for both DERs and VRDs, is extended in terms of accuracy. The present paper analyzes firstly the actions of different types of VRDs together with DERs in a large 237-nodes LV distribution network; then, the effects of sensitivity matrices and initial operating conditions on the linear method (LM) accuracy are evaluated. Numerical results show the great accuracy of the LM.
{"title":"Accuracy Evaluation of a Linear Method for Active Distribution Network Analysis","authors":"A. D. Fazio, S. Perna, M. Santis","doi":"10.1109/UPEC55022.2022.9917681","DOIUrl":"https://doi.org/10.1109/UPEC55022.2022.9917681","url":null,"abstract":"The voltage control is a challenging task in active distribution networks, due to the increasing penetration of distributed energy resources (DERs). Voltage regulation devices (VRDs) can suffer the presence of DERs due to reverse power flows along feeders. A previous Jacobian-based method for sensitivity analysis of radial distribution system, for both DERs and VRDs, is extended in terms of accuracy. The present paper analyzes firstly the actions of different types of VRDs together with DERs in a large 237-nodes LV distribution network; then, the effects of sensitivity matrices and initial operating conditions on the linear method (LM) accuracy are evaluated. Numerical results show the great accuracy of the LM.","PeriodicalId":371561,"journal":{"name":"2022 57th International Universities Power Engineering Conference (UPEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131257534","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 : 2022-08-30DOI: 10.1109/UPEC55022.2022.9917984
Ali Garada, Abdullah Shaher, Saad Alqahtani, L. Cipcigan
This paper introduces different solutions using renewable energy technologies to overcome the random blackouts that happen in Libya. A case study conducted at Al-Marj city in Libya considering both stand-alone and grid-connected photovoltaic (PV) and wind systems is presented. The analysis of the modelling and simulation results using HOMER Pro software toll shows that the PV system is the economically optimal option comparing with the wind system. The role of solar irradiance and wind speed on the overall output of both sources of energy is highlighted by comparing the cost of energy (COE), with the results revealing that the COE in a stand-alone system for the PV and wind systems is 0.19${$}$/kWh and 0.23${$}$/kWh respectively, and 0.15${$}$/kWh and 0.16${$}$/kWh respectively for the grid-connected case. The results of this study at Al-Marj city can be used to resolve the random blackouts problem occurring in other regions of Libya.
{"title":"Optimal configuration using renewable technologies for overcome blackouts in Libya power system: Al-Marj city case study","authors":"Ali Garada, Abdullah Shaher, Saad Alqahtani, L. Cipcigan","doi":"10.1109/UPEC55022.2022.9917984","DOIUrl":"https://doi.org/10.1109/UPEC55022.2022.9917984","url":null,"abstract":"This paper introduces different solutions using renewable energy technologies to overcome the random blackouts that happen in Libya. A case study conducted at Al-Marj city in Libya considering both stand-alone and grid-connected photovoltaic (PV) and wind systems is presented. The analysis of the modelling and simulation results using HOMER Pro software toll shows that the PV system is the economically optimal option comparing with the wind system. The role of solar irradiance and wind speed on the overall output of both sources of energy is highlighted by comparing the cost of energy (COE), with the results revealing that the COE in a stand-alone system for the PV and wind systems is 0.19${$}$/kWh and 0.23${$}$/kWh respectively, and 0.15${$}$/kWh and 0.16${$}$/kWh respectively for the grid-connected case. The results of this study at Al-Marj city can be used to resolve the random blackouts problem occurring in other regions of Libya.","PeriodicalId":371561,"journal":{"name":"2022 57th International Universities Power Engineering Conference (UPEC)","volume":"87 9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134355381","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 : 2022-08-30DOI: 10.1109/UPEC55022.2022.9917703
I. D. Pasiopoulou, S. A. Vomva, G. Papagiannis, A. Bouhouras, Stavros K. Filippidis, Georgios C. Christoforidis
European Union’s target to achieve climate neutrality until 2050, along with the increase in energy costs, boosted the interest on improving energy efficiency (EE) in companies and especially in the small and medium-sized enterprises (SMEs). The SMEmPower Efficiency project, a HORIZON 2020 funded project, aims to address this issue by proposing a holistic approach. This includes also energy checks in real cases, i.e., SMEs. In this paper, a project pilot SME is presented and analyzed based on its real consumption and production measurements. The energy monitoring, targeting and verification (M&T&V) tools are used for the company’s energy data before and after the energy check. The adoption of the EE measures is evaluated using the M&V tool and the obtained results are compared to the CUSUM methodology.
{"title":"Monitoring the energy behavior of SMEs before and after Energy Efficiency measures: A case study","authors":"I. D. Pasiopoulou, S. A. Vomva, G. Papagiannis, A. Bouhouras, Stavros K. Filippidis, Georgios C. Christoforidis","doi":"10.1109/UPEC55022.2022.9917703","DOIUrl":"https://doi.org/10.1109/UPEC55022.2022.9917703","url":null,"abstract":"European Union’s target to achieve climate neutrality until 2050, along with the increase in energy costs, boosted the interest on improving energy efficiency (EE) in companies and especially in the small and medium-sized enterprises (SMEs). The SMEmPower Efficiency project, a HORIZON 2020 funded project, aims to address this issue by proposing a holistic approach. This includes also energy checks in real cases, i.e., SMEs. In this paper, a project pilot SME is presented and analyzed based on its real consumption and production measurements. The energy monitoring, targeting and verification (M&T&V) tools are used for the company’s energy data before and after the energy check. The adoption of the EE measures is evaluated using the M&V tool and the obtained results are compared to the CUSUM methodology.","PeriodicalId":371561,"journal":{"name":"2022 57th International Universities Power Engineering Conference (UPEC)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116371680","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 : 2022-08-30DOI: 10.1109/UPEC55022.2022.9917757
H. Amreiz, A. Janbey, M. Darwish
An “Over Voltage Relay” is one of the protective relays which operates when the voltage exceeds a preset value. In a typical application the over voltage relay is used for over voltage protection, which is connected to a potential transformer, and calibrated to operate at or above a specific voltage level. An “Under Voltage Relay” and an “Over Current Relay” are also protective relays which operate when the voltage is reduced, or the current is increased below or above a preset value. In a typical application these relays are connected to potential transformers, and calibrated to operate at, above or below a specific voltage or current levels. The emulator used in paper simulated experiments of all three types of relays mentioned above. The transmission line emulator used in this paper is an HVAC transmission line of length of 180 km. The transmission line of the emulator can be used as a 3-phase transmission line of 180 km length or as a single-phase transmission line of 540 km long. This transmission line in the emulator is divided into 6 $pi$ sections and each $pi$ section is 30 km long. The line inductance of the transmission line of the emulator is examined for every 30 km and the line capacitance is examined for every 15 km. The line parameters of the emulator (RLC) for the 400kV transmission line are: 0. 02978$Omega$/km, 1.06 mH/km and 0.0146 $mu$F/km, respectively.
{"title":"Emulations of Overvoltage and Overcurrent Relays In Transmission Lines","authors":"H. Amreiz, A. Janbey, M. Darwish","doi":"10.1109/UPEC55022.2022.9917757","DOIUrl":"https://doi.org/10.1109/UPEC55022.2022.9917757","url":null,"abstract":"An “Over Voltage Relay” is one of the protective relays which operates when the voltage exceeds a preset value. In a typical application the over voltage relay is used for over voltage protection, which is connected to a potential transformer, and calibrated to operate at or above a specific voltage level. An “Under Voltage Relay” and an “Over Current Relay” are also protective relays which operate when the voltage is reduced, or the current is increased below or above a preset value. In a typical application these relays are connected to potential transformers, and calibrated to operate at, above or below a specific voltage or current levels. The emulator used in paper simulated experiments of all three types of relays mentioned above. The transmission line emulator used in this paper is an HVAC transmission line of length of 180 km. The transmission line of the emulator can be used as a 3-phase transmission line of 180 km length or as a single-phase transmission line of 540 km long. This transmission line in the emulator is divided into 6 $pi$ sections and each $pi$ section is 30 km long. The line inductance of the transmission line of the emulator is examined for every 30 km and the line capacitance is examined for every 15 km. The line parameters of the emulator (RLC) for the 400kV transmission line are: 0. 02978$Omega$/km, 1.06 mH/km and 0.0146 $mu$F/km, respectively.","PeriodicalId":371561,"journal":{"name":"2022 57th International Universities Power Engineering Conference (UPEC)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132130473","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 : 2022-08-30DOI: 10.1109/UPEC55022.2022.9917934
B. Ahmadi, O. Ceylan, A. Ozdemir
This paper presents a novel two-stage optimization approach for the optimal sizing of static var compensators and their operational management to maximize the photovoltaic integration capacity of distribution systems. In the first stage, the optimal locations for fixed size photovoltaic (PV) systems are determined to minimize the sum of total voltage violations. In the second phase, the size of the PV units are resized and the optimal size, number, location, and operating strategy of the SVC units are determined to maximize PV hosting capacity. In both phases, the Marine Predators algorithm is used for the solution optimization equations. The performance of the proposed approach and solution method is validated on modified 33-node and 141-node radial distribution networks. The results are discussed from the point of view of the maximum hosting capacity and compared with the Grey Wolf optimization and Whale Optimization algorithms in terms of computational performance.
{"title":"Enhancing photovoltaic hosting capacity in distribution networks by optimal allocation and operation of static var compensators","authors":"B. Ahmadi, O. Ceylan, A. Ozdemir","doi":"10.1109/UPEC55022.2022.9917934","DOIUrl":"https://doi.org/10.1109/UPEC55022.2022.9917934","url":null,"abstract":"This paper presents a novel two-stage optimization approach for the optimal sizing of static var compensators and their operational management to maximize the photovoltaic integration capacity of distribution systems. In the first stage, the optimal locations for fixed size photovoltaic (PV) systems are determined to minimize the sum of total voltage violations. In the second phase, the size of the PV units are resized and the optimal size, number, location, and operating strategy of the SVC units are determined to maximize PV hosting capacity. In both phases, the Marine Predators algorithm is used for the solution optimization equations. The performance of the proposed approach and solution method is validated on modified 33-node and 141-node radial distribution networks. The results are discussed from the point of view of the maximum hosting capacity and compared with the Grey Wolf optimization and Whale Optimization algorithms in terms of computational performance.","PeriodicalId":371561,"journal":{"name":"2022 57th International Universities Power Engineering Conference (UPEC)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134023809","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 : 2022-08-30DOI: 10.1109/UPEC55022.2022.9917713
Stephan Ruhe, S. Nicolai, P. Bretschneider, D. Westermann
Distribution grids are subject to constant change due to transformations in energy transmission, generation and consumption. Among other reasons, the integration of renewable energy sources (RES) and increasing electromobility make safe and reliable grid operation in conventional structures more difficult. More monitoring devices are increasingly being installed to better track grid conditions and make them available for analysis functions. A powerful grid automation system is becoming a key factor in the operation of distribution grids. Novel automation functions as well as decision support capabilities are required to cope with adverse network conditions and the massive amount of data. Complementing classical monitoring systems, this paper shows an approach and use cases of a real-time simulation (RT) parallel to the grid based on measured data, system identification and state estimation of the real grid. The system extends the monitoring functionalities to an influence reactive system that can reproduce the network operation in a realistic environment. As with hardware-in-the-loop (HiL) simulations, this approach provides a platform for testing and monitoring the automation functions of distribution networks.
{"title":"Real-Time Approach of Grid-Parallel Simulation for Automated Distribution Grids","authors":"Stephan Ruhe, S. Nicolai, P. Bretschneider, D. Westermann","doi":"10.1109/UPEC55022.2022.9917713","DOIUrl":"https://doi.org/10.1109/UPEC55022.2022.9917713","url":null,"abstract":"Distribution grids are subject to constant change due to transformations in energy transmission, generation and consumption. Among other reasons, the integration of renewable energy sources (RES) and increasing electromobility make safe and reliable grid operation in conventional structures more difficult. More monitoring devices are increasingly being installed to better track grid conditions and make them available for analysis functions. A powerful grid automation system is becoming a key factor in the operation of distribution grids. Novel automation functions as well as decision support capabilities are required to cope with adverse network conditions and the massive amount of data. Complementing classical monitoring systems, this paper shows an approach and use cases of a real-time simulation (RT) parallel to the grid based on measured data, system identification and state estimation of the real grid. The system extends the monitoring functionalities to an influence reactive system that can reproduce the network operation in a realistic environment. As with hardware-in-the-loop (HiL) simulations, this approach provides a platform for testing and monitoring the automation functions of distribution networks.","PeriodicalId":371561,"journal":{"name":"2022 57th International Universities Power Engineering Conference (UPEC)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133207005","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 : 2022-08-30DOI: 10.1109/UPEC55022.2022.9917619
Muhammad Ahmed Qureshi, S. Musumeci, F. Torelli, A. Reatti, A. Mazza, G. Chicco
In this paper, a novel model-reference adaptive control methodology is proposed for the regulation of two power converter topologies. The main controller objective is the asymptotic tracking of the reference trajectory provided as input. The tracking is achieved through the adaptive mechanism based on Torelli Control Box approach. The control methodology explicitly guarantees convergence and asymptotic stability of the system. The designed controller has been simulated on buck and boost power converters and its performance has been analyzed by subjecting the converters to varying load and voltage conditions. Under all the test conditions, the controller proposed performs better than a backstepping-based controller taken as a benchmark for both converters.
{"title":"Application of a Novel Adaptive Control Approach for the Regulation of Power Converters","authors":"Muhammad Ahmed Qureshi, S. Musumeci, F. Torelli, A. Reatti, A. Mazza, G. Chicco","doi":"10.1109/UPEC55022.2022.9917619","DOIUrl":"https://doi.org/10.1109/UPEC55022.2022.9917619","url":null,"abstract":"In this paper, a novel model-reference adaptive control methodology is proposed for the regulation of two power converter topologies. The main controller objective is the asymptotic tracking of the reference trajectory provided as input. The tracking is achieved through the adaptive mechanism based on Torelli Control Box approach. The control methodology explicitly guarantees convergence and asymptotic stability of the system. The designed controller has been simulated on buck and boost power converters and its performance has been analyzed by subjecting the converters to varying load and voltage conditions. Under all the test conditions, the controller proposed performs better than a backstepping-based controller taken as a benchmark for both converters.","PeriodicalId":371561,"journal":{"name":"2022 57th International Universities Power Engineering Conference (UPEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122335592","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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