Pub Date : 2022-12-13DOI: 10.1109/MEPCON55441.2022.10021693
Nourhan M. Elbehairy, Hazem H. Mostafa, R. Swief
This work presents a new population-based algorithm with fast convergence and high efficiency. This algorithm is the Salp Swarm Algorithm (SSA). SSA is used as a Global Maximum Power Point Tracking (GMPPT) for PV system that is tied to a grid under partial shading conditions. The algorithm is proposed to resolve the lack in efficiency and tracking speed, since the algorithm has less tuning parameters and fast convergence than other swarm algorithms. In addition, what makes it unique is that the best results is always stored so that it is not lost in the search space. A comparative analysis is done to validate the proposed technique with the famous Grey Wolf Optimization. The proposed algorithm is validated under different partial shading conditions. Also for more validation it is tested under a step change in irradiance. The results indicate the high tracking efficiency and robustness of the salp swarm algorithm GMPPT over other modern techniques along with the fast convergence time.
{"title":"Global MPPT Controller for a Grid Tied PV System Under Partial Shading Conditions Using Salp Swarm Algorithm","authors":"Nourhan M. Elbehairy, Hazem H. Mostafa, R. Swief","doi":"10.1109/MEPCON55441.2022.10021693","DOIUrl":"https://doi.org/10.1109/MEPCON55441.2022.10021693","url":null,"abstract":"This work presents a new population-based algorithm with fast convergence and high efficiency. This algorithm is the Salp Swarm Algorithm (SSA). SSA is used as a Global Maximum Power Point Tracking (GMPPT) for PV system that is tied to a grid under partial shading conditions. The algorithm is proposed to resolve the lack in efficiency and tracking speed, since the algorithm has less tuning parameters and fast convergence than other swarm algorithms. In addition, what makes it unique is that the best results is always stored so that it is not lost in the search space. A comparative analysis is done to validate the proposed technique with the famous Grey Wolf Optimization. The proposed algorithm is validated under different partial shading conditions. Also for more validation it is tested under a step change in irradiance. The results indicate the high tracking efficiency and robustness of the salp swarm algorithm GMPPT over other modern techniques along with the fast convergence time.","PeriodicalId":174878,"journal":{"name":"2022 23rd International Middle East Power Systems Conference (MEPCON)","volume":"157 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127659370","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 : 2022-12-13DOI: 10.1109/MEPCON55441.2022.10021712
Balyogi Mohan Dash, B. O. Bouamama, Mahdi Boukerdja, K. Pékpé
In recent years, there has been a lot of interest in Fault Detection and Isolation (FDI) for systems. Model-based methods and Machine Learning (ML)-based approaches have been extensively developed to detect and identify specific faults by taking into consideration, respectively, the mathematical description of the monitored process and the statistical model constructed from historical data. Recently, studies have been conducted to combine both approaches to improve FDI performance. This study provides a side-by-side comparison of both approaches on the same system, which will aid in determining the best way to combine both approaches to create a hybrid FDI. First, the current state of the art in model-based, ML-based, and hybrid FDI is reviewed. Second, the detailed experimental setup and principles of both FDI approaches are discussed. The FDI of an actual Storage Device (SD) utilized in a green hydrogen production platform is then performed using both methodologies. Finally, it is stated that while both approaches have advantages and disadvantages, they can be combined to complement each other and improve the FDI performance.
{"title":"A Comparison of Model-Based and Machine Learning Techniques for Fault Diagnosis","authors":"Balyogi Mohan Dash, B. O. Bouamama, Mahdi Boukerdja, K. Pékpé","doi":"10.1109/MEPCON55441.2022.10021712","DOIUrl":"https://doi.org/10.1109/MEPCON55441.2022.10021712","url":null,"abstract":"In recent years, there has been a lot of interest in Fault Detection and Isolation (FDI) for systems. Model-based methods and Machine Learning (ML)-based approaches have been extensively developed to detect and identify specific faults by taking into consideration, respectively, the mathematical description of the monitored process and the statistical model constructed from historical data. Recently, studies have been conducted to combine both approaches to improve FDI performance. This study provides a side-by-side comparison of both approaches on the same system, which will aid in determining the best way to combine both approaches to create a hybrid FDI. First, the current state of the art in model-based, ML-based, and hybrid FDI is reviewed. Second, the detailed experimental setup and principles of both FDI approaches are discussed. The FDI of an actual Storage Device (SD) utilized in a green hydrogen production platform is then performed using both methodologies. Finally, it is stated that while both approaches have advantages and disadvantages, they can be combined to complement each other and improve the FDI performance.","PeriodicalId":174878,"journal":{"name":"2022 23rd International Middle East Power Systems Conference (MEPCON)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127900675","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 : 2022-12-13DOI: 10.1109/MEPCON55441.2022.10021787
Hanan A. Mosalam, A. A. Abou El-Ela, R. Amer
This paper presents the arithmetic optimization algorithm (AOA) to optimized the controller for an AC Microgrid (AC-MG) system. This paper employs the suggested technique to tuned the parameters of the PI controller for the renewable generation units. The suggested system consists of a Wind Energy System (WES), a DC-DC boost converter with maximum power point tracking to draw the most power from the WES, an Energy Storage System (ESS), a DC-DC buck boost converter, a DC-AC inverter, an LC filter, an induction motor (IM) with a single phase and an AC load varies over the time. The controller parameters for this system are tuned using the AOA, which is implemented in the MATLB Simulink software. If AC-MG is standalone or connected to the grid, the results are contrasted with those attained via designing the control system by using Cuckoo Search (CS), Gray Wolf Optimizer (GWO), and Particle Swarm Optimization (PSO) approaches for various test scenarios. The results of the simulation show that the designed PI controller based AOA tuning for handling AC-MG control has a high level of efficiency and superiority because it consistently delivers reliable, stabilized performance in test studies.
{"title":"Intelligent Control Design and Management of AC-Microgrid System","authors":"Hanan A. Mosalam, A. A. Abou El-Ela, R. Amer","doi":"10.1109/MEPCON55441.2022.10021787","DOIUrl":"https://doi.org/10.1109/MEPCON55441.2022.10021787","url":null,"abstract":"This paper presents the arithmetic optimization algorithm (AOA) to optimized the controller for an AC Microgrid (AC-MG) system. This paper employs the suggested technique to tuned the parameters of the PI controller for the renewable generation units. The suggested system consists of a Wind Energy System (WES), a DC-DC boost converter with maximum power point tracking to draw the most power from the WES, an Energy Storage System (ESS), a DC-DC buck boost converter, a DC-AC inverter, an LC filter, an induction motor (IM) with a single phase and an AC load varies over the time. The controller parameters for this system are tuned using the AOA, which is implemented in the MATLB Simulink software. If AC-MG is standalone or connected to the grid, the results are contrasted with those attained via designing the control system by using Cuckoo Search (CS), Gray Wolf Optimizer (GWO), and Particle Swarm Optimization (PSO) approaches for various test scenarios. The results of the simulation show that the designed PI controller based AOA tuning for handling AC-MG control has a high level of efficiency and superiority because it consistently delivers reliable, stabilized performance in test studies.","PeriodicalId":174878,"journal":{"name":"2022 23rd International Middle East Power Systems Conference (MEPCON)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126864802","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 : 2022-12-13DOI: 10.1109/MEPCON55441.2022.10021737
Sally E. Abdel Mohsen, A. Ibrahim, A. Omar
This article offers a Power Quality (PQ) strategy to reduce light intensity flickers, voltage enhancements, and harmonics mitigation of the grid current in extensive networks of LED lighting. The nonlinear properties of large-power LED bulbs present current harmonic contents. Installation of tens to hundreds of LED lamps in an extensive network of lights results in currents with significant harmonic content, which adversely damages the grid. Additionally, variations in light intensity are now a problem for many users, like safety and health. Heavy loads are the major causes of this phenomenon since they produce voltage swings, PQ degradation, and visible flickering in LED bulbs. A transformer-less unified power quality conditioner (TL-UPQC) with its controls is presented to address the majority of PQ issues in a network. The TL-UPQC comprises a dynamic voltage restorer (DVR) as a series compensator, which quickly maintains the load voltage when there is a voltage decrease, surge, or flickering in the network. And an active power filter (APF) acts as a shunt compensator that reduces harmonic currents and injects reactive currents. The gain values of the PI controller are obtained using an extended bald eagle search (EBES) optimizer. In addition, a comparative study of three optimizers, namely, moth flame (MFO), cuckoo search (CSA), and salp swarm algorithm (SSA), is presented to test the performance of the PI controller and fast dynamic response. MATLAB simulation has been employed to confirm the proposed TL-UPQC's effectiveness.
{"title":"Robust Control of Unified Power Quality Conditioner for LED Lighting Using Enhanced Bald Eagle Search Optimization","authors":"Sally E. Abdel Mohsen, A. Ibrahim, A. Omar","doi":"10.1109/MEPCON55441.2022.10021737","DOIUrl":"https://doi.org/10.1109/MEPCON55441.2022.10021737","url":null,"abstract":"This article offers a Power Quality (PQ) strategy to reduce light intensity flickers, voltage enhancements, and harmonics mitigation of the grid current in extensive networks of LED lighting. The nonlinear properties of large-power LED bulbs present current harmonic contents. Installation of tens to hundreds of LED lamps in an extensive network of lights results in currents with significant harmonic content, which adversely damages the grid. Additionally, variations in light intensity are now a problem for many users, like safety and health. Heavy loads are the major causes of this phenomenon since they produce voltage swings, PQ degradation, and visible flickering in LED bulbs. A transformer-less unified power quality conditioner (TL-UPQC) with its controls is presented to address the majority of PQ issues in a network. The TL-UPQC comprises a dynamic voltage restorer (DVR) as a series compensator, which quickly maintains the load voltage when there is a voltage decrease, surge, or flickering in the network. And an active power filter (APF) acts as a shunt compensator that reduces harmonic currents and injects reactive currents. The gain values of the PI controller are obtained using an extended bald eagle search (EBES) optimizer. In addition, a comparative study of three optimizers, namely, moth flame (MFO), cuckoo search (CSA), and salp swarm algorithm (SSA), is presented to test the performance of the PI controller and fast dynamic response. MATLAB simulation has been employed to confirm the proposed TL-UPQC's effectiveness.","PeriodicalId":174878,"journal":{"name":"2022 23rd International Middle East Power Systems Conference (MEPCON)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126639321","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 : 2022-12-13DOI: 10.1109/MEPCON55441.2022.10021733
Aya Medhat, Amr Magdy, M. Ezzat
Customers of utilities are increasing and consuming more energy, so they require good and reliable supply of energy. Consequently, the concept of distributed generation (DG), especially solar or PV system is used to generate localized power nearer to the industrial load center. Unfortunately the industrial network includes highly varying, nonlinear loads. For example, high power rectifiers used for electrolytic refining process of metals, massive variable frequency drives (VFD), and electric arc furnaces, these nonlinear loads inject harmonic currents into distribution network which cause power quality problems. In this paper, a new approach for harmonics elimination is developed using the grid connected photovoltaic model on the Simulink. By controlling the DC-AC converter to inject the same harmonics as those resulted from the nonlinear loads, the total harmonic distortion (THD) of the grid current will be enhanced.
{"title":"Enhancement of Power Quality in Industrial Distribution Systems using Photovoltaic Distributed Generation","authors":"Aya Medhat, Amr Magdy, M. Ezzat","doi":"10.1109/MEPCON55441.2022.10021733","DOIUrl":"https://doi.org/10.1109/MEPCON55441.2022.10021733","url":null,"abstract":"Customers of utilities are increasing and consuming more energy, so they require good and reliable supply of energy. Consequently, the concept of distributed generation (DG), especially solar or PV system is used to generate localized power nearer to the industrial load center. Unfortunately the industrial network includes highly varying, nonlinear loads. For example, high power rectifiers used for electrolytic refining process of metals, massive variable frequency drives (VFD), and electric arc furnaces, these nonlinear loads inject harmonic currents into distribution network which cause power quality problems. In this paper, a new approach for harmonics elimination is developed using the grid connected photovoltaic model on the Simulink. By controlling the DC-AC converter to inject the same harmonics as those resulted from the nonlinear loads, the total harmonic distortion (THD) of the grid current will be enhanced.","PeriodicalId":174878,"journal":{"name":"2022 23rd International Middle East Power Systems Conference (MEPCON)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126238851","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 : 2022-12-13DOI: 10.1109/MEPCON55441.2022.10021708
H. Ali
Modern power grids have been continuously integrating renewable energy sources (RESs) to create more sustainable, stable, and high-efficiency small-scale microgrids (MGs). Rotational inertia is greatly reduced in such grids compared to conventional grids that are dominated by synchronous generators (SGs). As a result, the system will encounter higher frequency variations and a greater frequency nadir, which may jeopardize the dynamic performance and thus raises the possibility of system instability. Various energy storage systems (ESSs) are introduced as effective solutions for augmenting the rotational inertia of low-inertia MGs. Therefore, in this study, a hybrid ESS (HESS) composed of a supercapacitor (SC) and electric vehicle (EV) battery is suggested to enhance the frequency stability of an islanded MG. In which, the SC is adopted to provide virtual inertial characteristics as it has a high-power density, and the EV's battery is adopted to provide virtual damping characteristics as it has a high-energy density, that results in improved virtual inertia (IVI) control concept. Through this way, the improvements of an islanded MG frequency stability can be achieved. In order to assess the improvement of both inertial and damping responses, the suggested IVI control concept is compared to the system with/without conventional virtual inertia support through simulation results. It verifies the superiority of the suggested IVI control concept to reduce MG frequency variation and dampen angular oscillation.
{"title":"A Hybrid Energy Storage System Based on Supercapacitor and Electric Vehicle Batteries for Frequency Stability Improvement of Islanded Microgrids","authors":"H. Ali","doi":"10.1109/MEPCON55441.2022.10021708","DOIUrl":"https://doi.org/10.1109/MEPCON55441.2022.10021708","url":null,"abstract":"Modern power grids have been continuously integrating renewable energy sources (RESs) to create more sustainable, stable, and high-efficiency small-scale microgrids (MGs). Rotational inertia is greatly reduced in such grids compared to conventional grids that are dominated by synchronous generators (SGs). As a result, the system will encounter higher frequency variations and a greater frequency nadir, which may jeopardize the dynamic performance and thus raises the possibility of system instability. Various energy storage systems (ESSs) are introduced as effective solutions for augmenting the rotational inertia of low-inertia MGs. Therefore, in this study, a hybrid ESS (HESS) composed of a supercapacitor (SC) and electric vehicle (EV) battery is suggested to enhance the frequency stability of an islanded MG. In which, the SC is adopted to provide virtual inertial characteristics as it has a high-power density, and the EV's battery is adopted to provide virtual damping characteristics as it has a high-energy density, that results in improved virtual inertia (IVI) control concept. Through this way, the improvements of an islanded MG frequency stability can be achieved. In order to assess the improvement of both inertial and damping responses, the suggested IVI control concept is compared to the system with/without conventional virtual inertia support through simulation results. It verifies the superiority of the suggested IVI control concept to reduce MG frequency variation and dampen angular oscillation.","PeriodicalId":174878,"journal":{"name":"2022 23rd International Middle East Power Systems Conference (MEPCON)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129337012","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 : 2022-12-13DOI: 10.1109/MEPCON55441.2022.10021767
Mohammed I. Elmezain, Hossam A. Abd el-Ghany, E. Rashad, E. Ahmed
This paper comprehensively analyzes the system under different conditions and discusses some current protection strategies over the last decade. Also, the paper provides an overview of the hybrid AC/DC network and its advantages and states the different protection challenges of the hybrid microgrid (MG). The need to reduce climate-influencing emissions increases the number of renewable and decentralized power plants worldwide. Recently, hybrid MGs are gaining a lot of attention as they combine the best features of both AC and DC MGs. Integrating a hybrid MG to the distribution network offers countless advantages; however, it encounters several issues. One of the most critical issues facing hybrid MG technology is the development of a reliable protection scheme for both AC and DC sub-MGs and the coordination between them. Even though both AC and DC MGs significantly influence each other. Most recent research only focus on developing the protection schemes for DC MGs. The paper also offers a comparison of the system behavior under both healthy and faulty conditions. In addition, the effect of a fault in the AC-microgrid (MG) on the DC-MG and vice-versa are comprehensively illustrated.
{"title":"Analysis of Hybrid AC/DC Distribution Network Under Adverse Conditions","authors":"Mohammed I. Elmezain, Hossam A. Abd el-Ghany, E. Rashad, E. Ahmed","doi":"10.1109/MEPCON55441.2022.10021767","DOIUrl":"https://doi.org/10.1109/MEPCON55441.2022.10021767","url":null,"abstract":"This paper comprehensively analyzes the system under different conditions and discusses some current protection strategies over the last decade. Also, the paper provides an overview of the hybrid AC/DC network and its advantages and states the different protection challenges of the hybrid microgrid (MG). The need to reduce climate-influencing emissions increases the number of renewable and decentralized power plants worldwide. Recently, hybrid MGs are gaining a lot of attention as they combine the best features of both AC and DC MGs. Integrating a hybrid MG to the distribution network offers countless advantages; however, it encounters several issues. One of the most critical issues facing hybrid MG technology is the development of a reliable protection scheme for both AC and DC sub-MGs and the coordination between them. Even though both AC and DC MGs significantly influence each other. Most recent research only focus on developing the protection schemes for DC MGs. The paper also offers a comparison of the system behavior under both healthy and faulty conditions. In addition, the effect of a fault in the AC-microgrid (MG) on the DC-MG and vice-versa are comprehensively illustrated.","PeriodicalId":174878,"journal":{"name":"2022 23rd International Middle East Power Systems Conference (MEPCON)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128486685","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 : 2022-12-13DOI: 10.1109/MEPCON55441.2022.10021703
M. Selmy, H. A. AbdelHadi, A. Abdulnabi, E. Saied
The rapid increase in the depending on green energy sources to deliver power, especially to remote areas poses a challenging task for engineers to regulate and obtain the most power available from these sources. This study focuses on problems with power changes caused by the impacts of wind and/or solar variations that are related to weather conditions. Variable voltage and output power result from these effects because they limit the ability to use various power sources. Controller design and metaheuristic optimization methods such as the honey badger algorithm (HBA) and particle swarm optimization (PSO) are presented to overcome these issues. There have been investigations into the design and identification of the hybrid power microgrid system components. MATLAB/Simulink is used to simulate, control, and model the system. The obtained results show how optimized controllers using the HBA technique compared to PSO are more effective with efficiency reaching 99.9% of maximum power generation and total harmonic distortion (THD) reaching 1.99%.
{"title":"Performance Enhancement of Hybrid Renewable Energy System for AC Microgrid","authors":"M. Selmy, H. A. AbdelHadi, A. Abdulnabi, E. Saied","doi":"10.1109/MEPCON55441.2022.10021703","DOIUrl":"https://doi.org/10.1109/MEPCON55441.2022.10021703","url":null,"abstract":"The rapid increase in the depending on green energy sources to deliver power, especially to remote areas poses a challenging task for engineers to regulate and obtain the most power available from these sources. This study focuses on problems with power changes caused by the impacts of wind and/or solar variations that are related to weather conditions. Variable voltage and output power result from these effects because they limit the ability to use various power sources. Controller design and metaheuristic optimization methods such as the honey badger algorithm (HBA) and particle swarm optimization (PSO) are presented to overcome these issues. There have been investigations into the design and identification of the hybrid power microgrid system components. MATLAB/Simulink is used to simulate, control, and model the system. The obtained results show how optimized controllers using the HBA technique compared to PSO are more effective with efficiency reaching 99.9% of maximum power generation and total harmonic distortion (THD) reaching 1.99%.","PeriodicalId":174878,"journal":{"name":"2022 23rd International Middle East Power Systems Conference (MEPCON)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133794304","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 : 2022-12-13DOI: 10.1109/MEPCON55441.2022.10021718
T. Boghdady, Youssef M. Gad
Static Synchronous Compensators known as (STATCOMs) are often used in power system transmission networks as voltage regulators and VAR compensators. This research proposes the integration of STATCOMs in distribution networks, particularly in PV grid-connected systems that use distributed energy resources in order to minimize active and reactive power demand from the grid by delivering variable reactive power from an alternate supply that adjusts to the load demand. This decreases the dependence on the utility power supply and promotes the integration of STATCOMs with renewables. Complete case studies comparing the applications of STATCOM, a voltage source converter with a decoupled active and reactive power control algorithm, and a fixed reactive power compensating condenser for the purpose of dynamic VAR compensation to loads connected at the point of common coupling in a grid-connected photovoltaic (PV) system are presented. The goal of this study is to investigate how dynamic loads, such as induction motors, behave under steady-state conditions when the supply's reactive power demand rises, as well as how this demand variance affects the network that supplies these loads. Complete system modeling and analysis for both scenarios, the fixed reactive power compensator and the STATCOM, supplying various load demands, have been developed. The simulation is based on a 100-kW rated PV grid-connected system to simulate behavior and performance of such study. Adaptive Neuro Fuzzy Inference System with Particle Swarm Optimization was used to extract the maximum power point of the PV array proceeded by a sliding mode controller. MATLAB/ Simulink was developed for modelling and analysis. Various load dynamics with varying solar irradiance and increasing reactive power demand of the associated load were simulated to evaluate various challenges and disturbances on the power supply.
{"title":"Application of STATCOM With Photovoltaic Systems","authors":"T. Boghdady, Youssef M. Gad","doi":"10.1109/MEPCON55441.2022.10021718","DOIUrl":"https://doi.org/10.1109/MEPCON55441.2022.10021718","url":null,"abstract":"Static Synchronous Compensators known as (STATCOMs) are often used in power system transmission networks as voltage regulators and VAR compensators. This research proposes the integration of STATCOMs in distribution networks, particularly in PV grid-connected systems that use distributed energy resources in order to minimize active and reactive power demand from the grid by delivering variable reactive power from an alternate supply that adjusts to the load demand. This decreases the dependence on the utility power supply and promotes the integration of STATCOMs with renewables. Complete case studies comparing the applications of STATCOM, a voltage source converter with a decoupled active and reactive power control algorithm, and a fixed reactive power compensating condenser for the purpose of dynamic VAR compensation to loads connected at the point of common coupling in a grid-connected photovoltaic (PV) system are presented. The goal of this study is to investigate how dynamic loads, such as induction motors, behave under steady-state conditions when the supply's reactive power demand rises, as well as how this demand variance affects the network that supplies these loads. Complete system modeling and analysis for both scenarios, the fixed reactive power compensator and the STATCOM, supplying various load demands, have been developed. The simulation is based on a 100-kW rated PV grid-connected system to simulate behavior and performance of such study. Adaptive Neuro Fuzzy Inference System with Particle Swarm Optimization was used to extract the maximum power point of the PV array proceeded by a sliding mode controller. MATLAB/ Simulink was developed for modelling and analysis. Various load dynamics with varying solar irradiance and increasing reactive power demand of the associated load were simulated to evaluate various challenges and disturbances on the power supply.","PeriodicalId":174878,"journal":{"name":"2022 23rd International Middle East Power Systems Conference (MEPCON)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134100663","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 : 2022-12-13DOI: 10.1109/MEPCON55441.2022.10041865
Jun-Hyeok Han, Il-Song Kim
The unified modeling of the TLB (Three Level Boost) converter and its design of the double loop controller are presented in this paper. Since the TLB converter has two capacitors and one inductor, the state space modeling has 3 state variables in the previous research and publications. Also, the TLB converter has two operational modes depending on duty ratio boundary of 0.5. Due to this, complex calculations are required for controller design. A simple state averaging equations using 2 state variables are presented in this paper, unlike the previous studies which used 3 state variables. The analysis has been conducted for continuous conduction mode (CCM) in two different modes of TLB converter and concluded that the transfer functions of each mode are identical to both modes. The controller has been designed for the double loop control system using unified model. The MATLAB and PSIM simulation have been performed to verify the effectiveness of the proposed controller design. The suggested method is simple and easy to apply to real system applications.
{"title":"The Controller Design of Three-Level Boost Converter using Unified Modeling Approach","authors":"Jun-Hyeok Han, Il-Song Kim","doi":"10.1109/MEPCON55441.2022.10041865","DOIUrl":"https://doi.org/10.1109/MEPCON55441.2022.10041865","url":null,"abstract":"The unified modeling of the TLB (Three Level Boost) converter and its design of the double loop controller are presented in this paper. Since the TLB converter has two capacitors and one inductor, the state space modeling has 3 state variables in the previous research and publications. Also, the TLB converter has two operational modes depending on duty ratio boundary of 0.5. Due to this, complex calculations are required for controller design. A simple state averaging equations using 2 state variables are presented in this paper, unlike the previous studies which used 3 state variables. The analysis has been conducted for continuous conduction mode (CCM) in two different modes of TLB converter and concluded that the transfer functions of each mode are identical to both modes. The controller has been designed for the double loop control system using unified model. The MATLAB and PSIM simulation have been performed to verify the effectiveness of the proposed controller design. The suggested method is simple and easy to apply to real system applications.","PeriodicalId":174878,"journal":{"name":"2022 23rd International Middle East Power Systems Conference (MEPCON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128692351","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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