Pub Date : 2022-06-14DOI: 10.1109/gpecom55404.2022.9815825
Polycarp Odo
This paper presents a fully decentralized Islanded DC Microgrid for circulating current suppression, current sharing and voltage restoration using a communication-free leaky integral control with localized adaptive droop line resistance estimation. Circulating current is produced when parallel-connected converters in a DC Microgrid exhibit mismatched output voltages which makes converters output current rating higher than the rated values. To suppress this current and implement a fully decentralized islanded Microgrid, rather than an arbitrary allocation of line resistance value in the droop and leaky control, an adaptive line resistance approach aimed at realizing a completely decentralized Islanded Microgrid is implemented. The adaptive droop line resistance calculated from converters’ local parameters failed to restore DC bus voltage and the circulating current could not be suppressed in islanded solution, contrary to grid-tied system in literature. To rectify this in an Islanded Microgrid, a secondary leaky integral controller with adaptive line resistance term is used to suppress this circulating current with a minimal deviation in bus voltage regulation of 380Vdc. Both current sharing, suppression of circulating current and voltage restoration is realized.
{"title":"Suppression of Circulating Current in Islanded dc Microgrid Using a Decentralized Adaptive Line Resistance Approach with Secondary Leaky Integration Control","authors":"Polycarp Odo","doi":"10.1109/gpecom55404.2022.9815825","DOIUrl":"https://doi.org/10.1109/gpecom55404.2022.9815825","url":null,"abstract":"This paper presents a fully decentralized Islanded DC Microgrid for circulating current suppression, current sharing and voltage restoration using a communication-free leaky integral control with localized adaptive droop line resistance estimation. Circulating current is produced when parallel-connected converters in a DC Microgrid exhibit mismatched output voltages which makes converters output current rating higher than the rated values. To suppress this current and implement a fully decentralized islanded Microgrid, rather than an arbitrary allocation of line resistance value in the droop and leaky control, an adaptive line resistance approach aimed at realizing a completely decentralized Islanded Microgrid is implemented. The adaptive droop line resistance calculated from converters’ local parameters failed to restore DC bus voltage and the circulating current could not be suppressed in islanded solution, contrary to grid-tied system in literature. To rectify this in an Islanded Microgrid, a secondary leaky integral controller with adaptive line resistance term is used to suppress this circulating current with a minimal deviation in bus voltage regulation of 380Vdc. Both current sharing, suppression of circulating current and voltage restoration is realized.","PeriodicalId":441321,"journal":{"name":"2022 4th Global Power, Energy and Communication Conference (GPECOM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131321981","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 : 2022-06-14DOI: 10.1109/gpecom55404.2022.9815810
F. Eroǧlu, A. Vural
The use of multilevel converters (MLCs) in battery storage systems (BSSs) has increased significantly among researchers in the past decade. Electrochemical differences in battery cells may cause state-of-charge (SOC) imbalances in a MLC based BSS. As a result, capacity and efficiency of BSS reduces drastically. Hence, SOC balancing in MLC based BSS is critical and has received much attention during the past decade. However, previous reviews have only focused on cell SOC balancing in a battery pack rather than SOC balancing in MLC based BSSs. This paper aims to fill this gap in the literature by giving a detailed overview of SOC balancing methods in MLC based BSSs by considering both traditional methods and latest developments in the area. Finally, research gaps and future directives on SOC balancing in MLC based BSSs are included.
{"title":"A Critical Review on State-of-Charge Balancing Methods in Multilevel Converter Based Battery Storage Systems","authors":"F. Eroǧlu, A. Vural","doi":"10.1109/gpecom55404.2022.9815810","DOIUrl":"https://doi.org/10.1109/gpecom55404.2022.9815810","url":null,"abstract":"The use of multilevel converters (MLCs) in battery storage systems (BSSs) has increased significantly among researchers in the past decade. Electrochemical differences in battery cells may cause state-of-charge (SOC) imbalances in a MLC based BSS. As a result, capacity and efficiency of BSS reduces drastically. Hence, SOC balancing in MLC based BSS is critical and has received much attention during the past decade. However, previous reviews have only focused on cell SOC balancing in a battery pack rather than SOC balancing in MLC based BSSs. This paper aims to fill this gap in the literature by giving a detailed overview of SOC balancing methods in MLC based BSSs by considering both traditional methods and latest developments in the area. Finally, research gaps and future directives on SOC balancing in MLC based BSSs are included.","PeriodicalId":441321,"journal":{"name":"2022 4th Global Power, Energy and Communication Conference (GPECOM)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121888482","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 : 2022-06-14DOI: 10.1109/gpecom55404.2022.9815626
A. A. Mahmud
The Smart Grid (SG) technologies greatly enhance the electrical grid by providing more energy security, increasing efficiency, reliability and economically benefitting the supplier which translates to reduce prices to the end customer. This is significant, as most of the current available energy comes from non-renewable sources. Economic development of nations result in increased demand for energy resources and as the world moves forward, the rate at which these resources are being spent is increasing. The SG poses numerous challenges in the fields of communication, engineering and policymaking. An aspect of the SG Technologies like Non-Intrusive Load Monitoring (NILM) enables the collection of valuable information that can be used to increase energy efficiency and gain deep insight on energy statistics. Novel software approaches like Deep Neural Networks, Markov models and Support Vector Machines play an important role for solving the NILM problem. In addition, researchers are delving into other aspects of the implementation such as privacy, price, and resource usage that coming from the paradigms of cloud and edge computing. Expert analysis on all of these topics is essential for the adoption of SG technology. In this paper, the merits of the various AI/ML techniques are expanded upon in a literature review. Then the previous and current state-of-the-art methods in the field of Deep Learning are evaluated and a conclusion is reached on their performance and viability. Furthermore, a case is made about relevant computing paradigms and how they may impact fundamental areas of the technology.
{"title":"Artificial Intelligence (AI)-based identification of appliances in households through NILM","authors":"A. A. Mahmud","doi":"10.1109/gpecom55404.2022.9815626","DOIUrl":"https://doi.org/10.1109/gpecom55404.2022.9815626","url":null,"abstract":"The Smart Grid (SG) technologies greatly enhance the electrical grid by providing more energy security, increasing efficiency, reliability and economically benefitting the supplier which translates to reduce prices to the end customer. This is significant, as most of the current available energy comes from non-renewable sources. Economic development of nations result in increased demand for energy resources and as the world moves forward, the rate at which these resources are being spent is increasing. The SG poses numerous challenges in the fields of communication, engineering and policymaking. An aspect of the SG Technologies like Non-Intrusive Load Monitoring (NILM) enables the collection of valuable information that can be used to increase energy efficiency and gain deep insight on energy statistics. Novel software approaches like Deep Neural Networks, Markov models and Support Vector Machines play an important role for solving the NILM problem. In addition, researchers are delving into other aspects of the implementation such as privacy, price, and resource usage that coming from the paradigms of cloud and edge computing. Expert analysis on all of these topics is essential for the adoption of SG technology. In this paper, the merits of the various AI/ML techniques are expanded upon in a literature review. Then the previous and current state-of-the-art methods in the field of Deep Learning are evaluated and a conclusion is reached on their performance and viability. Furthermore, a case is made about relevant computing paradigms and how they may impact fundamental areas of the technology.","PeriodicalId":441321,"journal":{"name":"2022 4th Global Power, Energy and Communication Conference (GPECOM)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125659365","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 : 2022-06-14DOI: 10.1109/gpecom55404.2022.9815811
Ural Mutlu, Y. Kabalci
The defining feature of the Fifth Generation (5G) mobile communication systems is going to be Multiple Input Multiple Output (MIMO) transmission scheme, which utilizes the multipath diversities to achieve beamforming and increase spectral efficiency. However, these MIMO algorithms rely on accurate channel parameters. To improve the accuracy of the channel coefficients, the study presents a Deep Learning (DL) based approach that uses the 5G Demodulation Reference Signals (DMRS) as training sequence and Deep Neural Networks (DNN) as training and prediction network in a MIMO scenario. The DNN is trained with training data obtained by applying Least Squares (LS) method to the received pilot signals and by comparing it to Clustered Delay Line (CDL) channel model. The DNN is then used to predict real-time channel coefficients. The results show that the model improves channel estimation performance by reducing the effects of noise, thus improving the Normalized Mean Square Error (NMSE) versus Signal-to-Noise Ratio (SNR) metric of the MIMO system.
{"title":"Deep Learning Aided Channel Estimation Approach for 5G Communication Systems","authors":"Ural Mutlu, Y. Kabalci","doi":"10.1109/gpecom55404.2022.9815811","DOIUrl":"https://doi.org/10.1109/gpecom55404.2022.9815811","url":null,"abstract":"The defining feature of the Fifth Generation (5G) mobile communication systems is going to be Multiple Input Multiple Output (MIMO) transmission scheme, which utilizes the multipath diversities to achieve beamforming and increase spectral efficiency. However, these MIMO algorithms rely on accurate channel parameters. To improve the accuracy of the channel coefficients, the study presents a Deep Learning (DL) based approach that uses the 5G Demodulation Reference Signals (DMRS) as training sequence and Deep Neural Networks (DNN) as training and prediction network in a MIMO scenario. The DNN is trained with training data obtained by applying Least Squares (LS) method to the received pilot signals and by comparing it to Clustered Delay Line (CDL) channel model. The DNN is then used to predict real-time channel coefficients. The results show that the model improves channel estimation performance by reducing the effects of noise, thus improving the Normalized Mean Square Error (NMSE) versus Signal-to-Noise Ratio (SNR) metric of the MIMO system.","PeriodicalId":441321,"journal":{"name":"2022 4th Global Power, Energy and Communication Conference (GPECOM)","volume":"123 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127063106","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 : 2022-06-14DOI: 10.1109/gpecom55404.2022.9815826
Ikram Muhammad Talha, Lima . Huawei, Qadeer Abdul, Hussain Arif
With the Power Electronics industry revolution, the high-Speed Railway industry is also upgraded to a very much great extent. After Hybrid Trams, now Fast Hybrid trains are the future of the traction industry. A neutral section is a powerless section that must be placed carefully to avoid speed loss and unexpected accidents. This paper presents a Hybrid Energy System (HES) based topology for Chinese fast Train CRH2 running on the “LANXIN” track to pass through a Neutral Section with HES based power to reduce the chances of speed loss and introduce flexibility for engineers to design Neutral sections even on hilly areas. Different speed profiles for a train passing through Neutral Section are analyzed for delay time analysis. Due to the presence of the Gobi Desert, harsh environmental conditions of the track’s location are kept under consideration using METEREONOERM software. Which also helped to verify the efficiency of MPPT method. HES contains Graphene-based Supercapacitors and PV modules (embedded on the train’s rooftop) to charge them. Neutral Point Clamped (NPC) inverter-based topology with FOC-SVPWM control is utilized to efficiently control the traction motor’s torque. Proposed methodology proves with MATLAB simulation that HES topology can not only save time depending on the entering speed of the train at the Neutral section, but can also run the train for some time without any power to relocate the train on a secure position in case of power failure or an accident on track location.
{"title":"Design of Hybrid Energy System of CRH2 Train Passing Through Neutral Section","authors":"Ikram Muhammad Talha, Lima . Huawei, Qadeer Abdul, Hussain Arif","doi":"10.1109/gpecom55404.2022.9815826","DOIUrl":"https://doi.org/10.1109/gpecom55404.2022.9815826","url":null,"abstract":"With the Power Electronics industry revolution, the high-Speed Railway industry is also upgraded to a very much great extent. After Hybrid Trams, now Fast Hybrid trains are the future of the traction industry. A neutral section is a powerless section that must be placed carefully to avoid speed loss and unexpected accidents. This paper presents a Hybrid Energy System (HES) based topology for Chinese fast Train CRH2 running on the “LANXIN” track to pass through a Neutral Section with HES based power to reduce the chances of speed loss and introduce flexibility for engineers to design Neutral sections even on hilly areas. Different speed profiles for a train passing through Neutral Section are analyzed for delay time analysis. Due to the presence of the Gobi Desert, harsh environmental conditions of the track’s location are kept under consideration using METEREONOERM software. Which also helped to verify the efficiency of MPPT method. HES contains Graphene-based Supercapacitors and PV modules (embedded on the train’s rooftop) to charge them. Neutral Point Clamped (NPC) inverter-based topology with FOC-SVPWM control is utilized to efficiently control the traction motor’s torque. Proposed methodology proves with MATLAB simulation that HES topology can not only save time depending on the entering speed of the train at the Neutral section, but can also run the train for some time without any power to relocate the train on a secure position in case of power failure or an accident on track location.","PeriodicalId":441321,"journal":{"name":"2022 4th Global Power, Energy and Communication Conference (GPECOM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129526062","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}
The refrigerator monitoring system was designed by combining the Internet of Things and refrigerator. In an Internet of Things (IoT) system, pieces of equipment remain connected via the internet. As a result, that device is called an IoT device or system. Internet of Things (IoT) can be a solution to increase the efficiency of servicing refrigerators. The sensor module, control module, and transmission module are the three essential components of the system. The sensing module consists of a load cell, the control module consists of ESP8266 and a power supply unit, and the transmission module comprises a Liquid-crystal display (LCD) and a Wi-Fi module. These modules operate together to identify the condenser, evaporator, cabinet and input current contents state. This status is constantly updated on the thingspeak server, which has access to the service point and Research and Development department or any service point technician observing any refrigerator for many purposes.
{"title":"IoT based smart refrigerator monitoring system","authors":"Samirul Haque, Jahidul Islam, M.D. Ether Deowan, Towfiq Mahmud Mridul, Nafisa Tabassum","doi":"10.1109/gpecom55404.2022.9815821","DOIUrl":"https://doi.org/10.1109/gpecom55404.2022.9815821","url":null,"abstract":"The refrigerator monitoring system was designed by combining the Internet of Things and refrigerator. In an Internet of Things (IoT) system, pieces of equipment remain connected via the internet. As a result, that device is called an IoT device or system. Internet of Things (IoT) can be a solution to increase the efficiency of servicing refrigerators. The sensor module, control module, and transmission module are the three essential components of the system. The sensing module consists of a load cell, the control module consists of ESP8266 and a power supply unit, and the transmission module comprises a Liquid-crystal display (LCD) and a Wi-Fi module. These modules operate together to identify the condenser, evaporator, cabinet and input current contents state. This status is constantly updated on the thingspeak server, which has access to the service point and Research and Development department or any service point technician observing any refrigerator for many purposes.","PeriodicalId":441321,"journal":{"name":"2022 4th Global Power, Energy and Communication Conference (GPECOM)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126219658","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 : 2022-06-14DOI: 10.1109/gpecom55404.2022.9815693
T. Busarello, A. Bubshait, O. Varaprasad, A. Alsaleem, Marcelo Simoes
This paper presents a comprehensive design approach for a field-oriented control of Interior Permanent Magnet Synchronous Machines (IPMSM). Initially, the IPMSM model is revisited. Later, a step-by-step procedure for designing a Field Oriented Control (FOC) Strategy for IPMSM is presented. The control strategy is in dq-rotating reference frame and it is synchronized with the rotor position. The current controllers are designed based on setting a desired closed-loop time-constant while the speed controller is designed based on a frequency response approach, which is different from the conventional methods. The proposed approach supplies all the steps to accurately tuning the parameters of the Proportional-Integrator (PI) controllers of the current and speed control loops. Furthermore, the proposed design approach is a fast, reliable and accurate guide to implement IPMSM drive based on FOC. Results from a Hardware-in-Loop (HIL) with external microcontroller are presented. The comprehensive design approach is verified under two different IPMSM parameters and the results showed its effectiveness.
{"title":"Comprehensive Design Approach for Field-Oriented Control of Interior Permanent Magnet Synchronous Machines","authors":"T. Busarello, A. Bubshait, O. Varaprasad, A. Alsaleem, Marcelo Simoes","doi":"10.1109/gpecom55404.2022.9815693","DOIUrl":"https://doi.org/10.1109/gpecom55404.2022.9815693","url":null,"abstract":"This paper presents a comprehensive design approach for a field-oriented control of Interior Permanent Magnet Synchronous Machines (IPMSM). Initially, the IPMSM model is revisited. Later, a step-by-step procedure for designing a Field Oriented Control (FOC) Strategy for IPMSM is presented. The control strategy is in dq-rotating reference frame and it is synchronized with the rotor position. The current controllers are designed based on setting a desired closed-loop time-constant while the speed controller is designed based on a frequency response approach, which is different from the conventional methods. The proposed approach supplies all the steps to accurately tuning the parameters of the Proportional-Integrator (PI) controllers of the current and speed control loops. Furthermore, the proposed design approach is a fast, reliable and accurate guide to implement IPMSM drive based on FOC. Results from a Hardware-in-Loop (HIL) with external microcontroller are presented. The comprehensive design approach is verified under two different IPMSM parameters and the results showed its effectiveness.","PeriodicalId":441321,"journal":{"name":"2022 4th Global Power, Energy and Communication Conference (GPECOM)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117139325","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 : 2022-06-14DOI: 10.1109/gpecom55404.2022.9815613
Nancy A. El-Baz, Mohamed Abaza, Mohamed K. Shehata, Mohamed S. El Mahallawy
Due to the increased car accidents nowadays, many researchers have proposed the auto drive feature. Although the auto driver is still in its fancy, some practical applications lead the way that is called drive assistance. Such requests are data-hungry and require a very low delay. Two main approaches were introduced to overcome such a problem. On the one hand, legacy researchers have tried their best to push the radio frequency (RF) capabilities in one way or another. On the other hand, a new approach that arises as a competitor, ideally a replacement, to the RF approach, which is the visible light communication (VLC). In this paper, we adopt the VLC communication because it increases the data rate and decreases the delay. However, VLC has smaller coverage that needs an out-of-the-box solution to be able to gain its maximum benefits. Consequently, we proposed the Multi-hop Relaying among the pool of cars within the same road. Furthermore, we introduced the hybrid (RF/VLC) to overcome the sharp edges and complete blindness situations.
{"title":"Car to Car hybrid Radio Frequency and Visible Light Communication Through Multi-hop Relaying","authors":"Nancy A. El-Baz, Mohamed Abaza, Mohamed K. Shehata, Mohamed S. El Mahallawy","doi":"10.1109/gpecom55404.2022.9815613","DOIUrl":"https://doi.org/10.1109/gpecom55404.2022.9815613","url":null,"abstract":"Due to the increased car accidents nowadays, many researchers have proposed the auto drive feature. Although the auto driver is still in its fancy, some practical applications lead the way that is called drive assistance. Such requests are data-hungry and require a very low delay. Two main approaches were introduced to overcome such a problem. On the one hand, legacy researchers have tried their best to push the radio frequency (RF) capabilities in one way or another. On the other hand, a new approach that arises as a competitor, ideally a replacement, to the RF approach, which is the visible light communication (VLC). In this paper, we adopt the VLC communication because it increases the data rate and decreases the delay. However, VLC has smaller coverage that needs an out-of-the-box solution to be able to gain its maximum benefits. Consequently, we proposed the Multi-hop Relaying among the pool of cars within the same road. Furthermore, we introduced the hybrid (RF/VLC) to overcome the sharp edges and complete blindness situations.","PeriodicalId":441321,"journal":{"name":"2022 4th Global Power, Energy and Communication Conference (GPECOM)","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117169036","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 : 2022-06-14DOI: 10.1109/gpecom55404.2022.9815661
M. Nicola, C. Nicola
Starting from the classical structure of a three-phase voltage DC-AC converter whose basic controller is designed based on the PI-type control law, this article shows the structure of a DC-AC converter control system (CCS) based on the Port Controlled Hamiltonian (PCH) controller, along with the improvement of DC-AC CCS performance by means of machine learning (ML) strategy. Among these strategies, the most suitable for process control is reinforcement learning (RL), and the RL Twin-Delayed Deep Deterministic Policy Gradient (TD3) agent was chosen from the concrete implementations. The control structures and the synthesis of the PCH control law based on passivity theory are presented, and, in addition, the creation and training of an RL-TD3 agent is presented. Through numerical simulations it is proved the improvement in the DC-AC CCS performance in case of using the RL-TD3 agent in terms of the performance indicators of the control systems, of which we mention: response time, steady-state error, ripple, but also in terms of the quality of electricity according to the Total Harmonic Distortion (THD) analysis.
{"title":"Improved Performance for the DC-AC Converters Control System Based on PCH Controller and Reinforcement Learning Agent","authors":"M. Nicola, C. Nicola","doi":"10.1109/gpecom55404.2022.9815661","DOIUrl":"https://doi.org/10.1109/gpecom55404.2022.9815661","url":null,"abstract":"Starting from the classical structure of a three-phase voltage DC-AC converter whose basic controller is designed based on the PI-type control law, this article shows the structure of a DC-AC converter control system (CCS) based on the Port Controlled Hamiltonian (PCH) controller, along with the improvement of DC-AC CCS performance by means of machine learning (ML) strategy. Among these strategies, the most suitable for process control is reinforcement learning (RL), and the RL Twin-Delayed Deep Deterministic Policy Gradient (TD3) agent was chosen from the concrete implementations. The control structures and the synthesis of the PCH control law based on passivity theory are presented, and, in addition, the creation and training of an RL-TD3 agent is presented. Through numerical simulations it is proved the improvement in the DC-AC CCS performance in case of using the RL-TD3 agent in terms of the performance indicators of the control systems, of which we mention: response time, steady-state error, ripple, but also in terms of the quality of electricity according to the Total Harmonic Distortion (THD) analysis.","PeriodicalId":441321,"journal":{"name":"2022 4th Global Power, Energy and Communication Conference (GPECOM)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121265909","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 : 2022-06-14DOI: 10.1109/gpecom55404.2022.9815562
Cenk Andic, A. Ozturk, B. Turkay
Rotor angle stability of a power system refers to the ability of the system to return to equilibrium points after significant disturbances like application to sudden increase in power input or removal of the load, line faults etc. This paper presents the importance of the rotor angle stability of power systems. The rotor angle stability is analyzed based on solving swing equation of a power system. The swing equation is a nonlinear equation. Therefore, a several non-linear methods (Runge-Kutta, Euler etc.) can be used to solve the swing equation. In this study, Lyapunov's direct method is proposed to solve the swing equation. The proposed method is tested on a single machine infinite bus test system. The maximum limit value at which the mechanical input power of the system can suddenly increase has been found. The obtained results show that Lyapunov's direct method successfully detects the operating point close to the instability region of the system.
{"title":"Rotor Angle Stability Analysis by Using Lyapunov’s Direct Method of a SMIB Power System","authors":"Cenk Andic, A. Ozturk, B. Turkay","doi":"10.1109/gpecom55404.2022.9815562","DOIUrl":"https://doi.org/10.1109/gpecom55404.2022.9815562","url":null,"abstract":"Rotor angle stability of a power system refers to the ability of the system to return to equilibrium points after significant disturbances like application to sudden increase in power input or removal of the load, line faults etc. This paper presents the importance of the rotor angle stability of power systems. The rotor angle stability is analyzed based on solving swing equation of a power system. The swing equation is a nonlinear equation. Therefore, a several non-linear methods (Runge-Kutta, Euler etc.) can be used to solve the swing equation. In this study, Lyapunov's direct method is proposed to solve the swing equation. The proposed method is tested on a single machine infinite bus test system. The maximum limit value at which the mechanical input power of the system can suddenly increase has been found. The obtained results show that Lyapunov's direct method successfully detects the operating point close to the instability region of the system.","PeriodicalId":441321,"journal":{"name":"2022 4th Global Power, Energy and Communication Conference (GPECOM)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121497246","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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