Pub Date : 2023-10-02DOI: 10.37394/232016.2023.18.13
A. Yu. Khrennikov, N. M. Aleksandrov
The article analyzes scientific research in the field of power transformer gas generation defects detecting by methods of Gas Dissolved Analysis (DGA) of transformer oil (chromatographic analysis) and measurement of short-circuit impedance differences. Power transformer defects that cause gas generation and are identified by the results of DGA should be divided conditionally into several groups: defects with circulating currents in windings and short-circuited contours, induced by scattering flux created by wind-ups, defects with an increase in the transient resistances of the grounding nodes of the structural elements, defects with partial discharges of oil gaps and on the surface of solid insulation, defects with a violation of the contact connections of the conductive circuits, defects with overheating and aging of solid insulation and transformer oil. The difference in short-circuit impedance, measured from the sides of the higher and lower voltages, brought to one side of the transformer, is directly dependent on the magnitude of the circulating currents created by the scattering fields, expressed as a percentage, that is, the percentage of the number of uncompensated turns of the windings with current.
{"title":"Power Oil Transformers - Gas Generation Defects","authors":"A. Yu. Khrennikov, N. M. Aleksandrov","doi":"10.37394/232016.2023.18.13","DOIUrl":"https://doi.org/10.37394/232016.2023.18.13","url":null,"abstract":"The article analyzes scientific research in the field of power transformer gas generation defects detecting by methods of Gas Dissolved Analysis (DGA) of transformer oil (chromatographic analysis) and measurement of short-circuit impedance differences. Power transformer defects that cause gas generation and are identified by the results of DGA should be divided conditionally into several groups: defects with circulating currents in windings and short-circuited contours, induced by scattering flux created by wind-ups, defects with an increase in the transient resistances of the grounding nodes of the structural elements, defects with partial discharges of oil gaps and on the surface of solid insulation, defects with a violation of the contact connections of the conductive circuits, defects with overheating and aging of solid insulation and transformer oil. The difference in short-circuit impedance, measured from the sides of the higher and lower voltages, brought to one side of the transformer, is directly dependent on the magnitude of the circulating currents created by the scattering fields, expressed as a percentage, that is, the percentage of the number of uncompensated turns of the windings with current.","PeriodicalId":38993,"journal":{"name":"WSEAS Transactions on Power Systems","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135835244","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 : 2023-08-29DOI: 10.37394/232016.2023.18.12
Mohammed Abdeldjalil Djehaf, Y. D. Kobibi, M. Khatir
The modular multilevel converter (MMC), which is the foundation of voltage-source converter (VSC)-high- voltage direct current (HVDC), has received significant attention over the past ten years. As a result, the MMC has undergone extensive technical and operational improvements, making it an appealing option for achieving efficient renewable energy harvesting, particularly for offshore wind farms. This paper discusses the state-of-the-art control algorithms that are most effective for simulating large HVDC systems, including offshore wind farms. Moreover, a test system is suggested to show how well the selected techniques perform in practical scenarios. Overall, this work will serve as a helpful shortcut to relevant material that pertains to this research topic.
{"title":"Dynamic Performance of High-Voltage Direct Current Systems for Offshore Wind Farm Based on Modular Multilevel Converter","authors":"Mohammed Abdeldjalil Djehaf, Y. D. Kobibi, M. Khatir","doi":"10.37394/232016.2023.18.12","DOIUrl":"https://doi.org/10.37394/232016.2023.18.12","url":null,"abstract":"The modular multilevel converter (MMC), which is the foundation of voltage-source converter (VSC)-high- voltage direct current (HVDC), has received significant attention over the past ten years. As a result, the MMC has undergone extensive technical and operational improvements, making it an appealing option for achieving efficient renewable energy harvesting, particularly for offshore wind farms. This paper discusses the state-of-the-art control algorithms that are most effective for simulating large HVDC systems, including offshore wind farms. Moreover, a test system is suggested to show how well the selected techniques perform in practical scenarios. Overall, this work will serve as a helpful shortcut to relevant material that pertains to this research topic.","PeriodicalId":38993,"journal":{"name":"WSEAS Transactions on Power Systems","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48414548","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}
For the braking regeneration process of distributed 4WD vehicles, based on the requirements of ECE R13 regulations and I curve and on the premise of vehicle stability, further consider achieving the optimal braking energy feedback. On the distributed drive control, a fuzzy control algorithm does design to combine stability control with optimal regenerative braking energy feedback control, and the limiting conditions of battery and motor on torque output are comprehensively considered. The driving or braking torque demand of a four-wheel drive motor is given, which improves the stability of a four-wheel drive vehicle and achieves optimal braking energy recovery. Finally, the effectiveness of the strategy is verified by the actual vehicle tests under pylon course slalom and double-shift conditions.
{"title":"Research on Stability Control and Optimal Algorithm of Regeneration for Distributed Drive Four-wheel Drive Vehicles","authors":"Yuehang Dong, Yuanyuan Yang, Hongjun Zhai, Changming Zhao","doi":"10.37394/232016.2023.18.11","DOIUrl":"https://doi.org/10.37394/232016.2023.18.11","url":null,"abstract":"For the braking regeneration process of distributed 4WD vehicles, based on the requirements of ECE R13 regulations and I curve and on the premise of vehicle stability, further consider achieving the optimal braking energy feedback. On the distributed drive control, a fuzzy control algorithm does design to combine stability control with optimal regenerative braking energy feedback control, and the limiting conditions of battery and motor on torque output are comprehensively considered. The driving or braking torque demand of a four-wheel drive motor is given, which improves the stability of a four-wheel drive vehicle and achieves optimal braking energy recovery. Finally, the effectiveness of the strategy is verified by the actual vehicle tests under pylon course slalom and double-shift conditions.","PeriodicalId":38993,"journal":{"name":"WSEAS Transactions on Power Systems","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48579574","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 : 2023-06-30DOI: 10.37394/232016.2023.18.10
O. Osaloni, A. S. Akinyemi, Abayomi Adebiyi, O. Ibitoye
The recent modification in utilizing Multifunction Power Conditioner (MPC) such as Unified Power Quality Conditioner devices in power systems has led to different degrees of power losses, owing to electronic power impacts. This paper presents a detailed comparison of power loss analysis in various configurations of MPC, that is, the conventional unified power quality conditioner (UPQC) and the UPQC with distributed generation (〖UPQC〗_DG). The independent losses based on inverter design and distributed generation interfacing to the distribution form the basis for each configuration case. The investigation considered conventional UPQC as the base case for power losses, and the study was extended to 〖UPQC〗_DG at steady state operating condition. In all configurations, Switching Losses (SL) and conduction losses were considered using simulation studies carried out in MATLAB/SIMULINK, and the results obtained in all cases were used for comparative studies. Finally, the outcome indicates that the losses in 〖UPQC〗_DG is more than conventional UPQC based on simulation results in all cases.
{"title":"Power Loss Analysis with Dispersed Generation in Multifunction Power Conditioner Design to Improve Power Quality","authors":"O. Osaloni, A. S. Akinyemi, Abayomi Adebiyi, O. Ibitoye","doi":"10.37394/232016.2023.18.10","DOIUrl":"https://doi.org/10.37394/232016.2023.18.10","url":null,"abstract":"The recent modification in utilizing Multifunction Power Conditioner (MPC) such as Unified Power Quality Conditioner devices in power systems has led to different degrees of power losses, owing to electronic power impacts. This paper presents a detailed comparison of power loss analysis in various configurations of MPC, that is, the conventional unified power quality conditioner (UPQC) and the UPQC with distributed generation (〖UPQC〗_DG). The independent losses based on inverter design and distributed generation interfacing to the distribution form the basis for each configuration case. The investigation considered conventional UPQC as the base case for power losses, and the study was extended to 〖UPQC〗_DG at steady state operating condition. In all configurations, Switching Losses (SL) and conduction losses were considered using simulation studies carried out in MATLAB/SIMULINK, and the results obtained in all cases were used for comparative studies. Finally, the outcome indicates that the losses in 〖UPQC〗_DG is more than conventional UPQC based on simulation results in all cases.","PeriodicalId":38993,"journal":{"name":"WSEAS Transactions on Power Systems","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46066560","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 : 2023-06-26DOI: 10.37394/232016.2023.18.9
N. Mansour, A. Abdelsalam, Emad Eldeen Omran, Eyad S. Oda
Increasing the short-circuit current magnitude and bidirectional flow in a multi-infeed DG-connected grid have significant impacts on protection systems based on over-current relays (OCRs). An adaptive protection scheme based on defining the optimal setting of a directional OCR (DOCR) has recently been introduced as a solution for mis-coordination and false tripping issues associated with DG penetration increase. In this paper, this approach is highlighted, and its performance in different operating modes of the DG-connected grid is evaluated. Genetic algorithm (GA), and gray wolf optimization (GWO) have been used to provide optimized values of the time multiplier setting (TMS) of the DOCR scheme. Different faults at different locations with different DG locations and sizes are studied. The international electrotechnical commission (IEC) micro-grid benchmark and different DG units are modeled with MATLAB Simulink and ETAP software to carry out and test all these operating modes and evaluate this scheme. The ability of this scheme to maintain the coordination between the forward and reverse main and backup relays for each fault location is focused on in this study.
{"title":"Evaluation of Over Current Relay Settings Optimization for Multi-infeed DG-connected-grid","authors":"N. Mansour, A. Abdelsalam, Emad Eldeen Omran, Eyad S. Oda","doi":"10.37394/232016.2023.18.9","DOIUrl":"https://doi.org/10.37394/232016.2023.18.9","url":null,"abstract":"Increasing the short-circuit current magnitude and bidirectional flow in a multi-infeed DG-connected grid have significant impacts on protection systems based on over-current relays (OCRs). An adaptive protection scheme based on defining the optimal setting of a directional OCR (DOCR) has recently been introduced as a solution for mis-coordination and false tripping issues associated with DG penetration increase. In this paper, this approach is highlighted, and its performance in different operating modes of the DG-connected grid is evaluated. Genetic algorithm (GA), and gray wolf optimization (GWO) have been used to provide optimized values of the time multiplier setting (TMS) of the DOCR scheme. Different faults at different locations with different DG locations and sizes are studied. The international electrotechnical commission (IEC) micro-grid benchmark and different DG units are modeled with MATLAB Simulink and ETAP software to carry out and test all these operating modes and evaluate this scheme. The ability of this scheme to maintain the coordination between the forward and reverse main and backup relays for each fault location is focused on in this study.","PeriodicalId":38993,"journal":{"name":"WSEAS Transactions on Power Systems","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48378798","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 : 2023-05-03DOI: 10.37394/232016.2023.18.8
Gil-Vera V. D., Quintero-López C.
Photovoltaic solar power referred to as solar power using photovoltaic cells, is a renewable energy source. The solar cells' electricity may be utilized to power buildings, neighborhoods, and even entire cities. A stable and low-maintenance technology, photovoltaic solar power is an appealing alternative for generating energy since it emits no greenhouse gases and has no moving components. This paper aimed to provide a photovoltaic solar power generation forecasting model developed with machine learning approaches and historical data. In conclusion, this type of predictive model enables the evaluation of additional non-traditional sources of renewable energy, in this case, photovoltaic solar power, which facilitates the planning process for the diversification of the energy matrix. Random Forests obtain the highest performance, with this knowledge power systems operators may forecast outcomes more precisely, this is the main contribution of this work.
{"title":"Predictive Modeling of Photovoltaic Solar Power Generation","authors":"Gil-Vera V. D., Quintero-López C.","doi":"10.37394/232016.2023.18.8","DOIUrl":"https://doi.org/10.37394/232016.2023.18.8","url":null,"abstract":"Photovoltaic solar power referred to as solar power using photovoltaic cells, is a renewable energy source. The solar cells' electricity may be utilized to power buildings, neighborhoods, and even entire cities. A stable and low-maintenance technology, photovoltaic solar power is an appealing alternative for generating energy since it emits no greenhouse gases and has no moving components. This paper aimed to provide a photovoltaic solar power generation forecasting model developed with machine learning approaches and historical data. In conclusion, this type of predictive model enables the evaluation of additional non-traditional sources of renewable energy, in this case, photovoltaic solar power, which facilitates the planning process for the diversification of the energy matrix. Random Forests obtain the highest performance, with this knowledge power systems operators may forecast outcomes more precisely, this is the main contribution of this work.","PeriodicalId":38993,"journal":{"name":"WSEAS Transactions on Power Systems","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46315022","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 : 2023-03-28DOI: 10.37394/232016.2023.18.6
B. Çirak
The use of renewable energy sources has increased rapidly today, and the easy availability of solar energy and its abundance in nature are one step ahead of other renewable energy sources. The rapid increase in the technological infrastructure, especially to obtain electricity from solar energy by photovoltaic (PV) method, has also accelerated the process of integrating PV systems into people's daily life. In this study, the solar cell model was obtained by using a solar cell equivalent circuit with Matlab Simulink and a 5.3 kW PV generator was designed using this structure. Also, the performance of the PV module has been analyzed under different temperature and solar irradiation conditions. Thanks to the developed model, it is aimed to use PV model generators with different technical features and different installed power more easily. Methodology in this project study was to create a circuit model of a solar cell in the Matlab Simulink program, modeling this model as a subsystem.
{"title":"Modelling and Simulation of Photovoltaic Systems Using MATLAB / Simulink","authors":"B. Çirak","doi":"10.37394/232016.2023.18.6","DOIUrl":"https://doi.org/10.37394/232016.2023.18.6","url":null,"abstract":"The use of renewable energy sources has increased rapidly today, and the easy availability of solar energy and its abundance in nature are one step ahead of other renewable energy sources. The rapid increase in the technological infrastructure, especially to obtain electricity from solar energy by photovoltaic (PV) method, has also accelerated the process of integrating PV systems into people's daily life. In this study, the solar cell model was obtained by using a solar cell equivalent circuit with Matlab Simulink and a 5.3 kW PV generator was designed using this structure. Also, the performance of the PV module has been analyzed under different temperature and solar irradiation conditions. Thanks to the developed model, it is aimed to use PV model generators with different technical features and different installed power more easily. Methodology in this project study was to create a circuit model of a solar cell in the Matlab Simulink program, modeling this model as a subsystem.","PeriodicalId":38993,"journal":{"name":"WSEAS Transactions on Power Systems","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46816552","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 : 2023-03-28DOI: 10.37394/232016.2023.18.7
G. Fotis, C. Pavlatos, V. Vita
Power control centers have evolved since their ground-breaking inception in the 1960s, and they are extremely important for the operation of the power system, ensuring maximum reliability. There has been much discussion about mandating reliability requirements, but for the most part, reliability standards are already in place for electricity grid design and operation. Unfortunately, these standards do not examine in detail monitoring and control, possibly due to the false belief that reliability primarily comes from redundancies in transmission and generation. The grid can operate even more closely to its limits thanks to improved grid control and monitoring, which also increase reliability. In this paper, the significant role of the power system control centers in the event of a major blackout is discussed, proving their significance in the restoration process.
{"title":"Power System Control Centers and Their Role in the Restoration Process after a Major Blackout","authors":"G. Fotis, C. Pavlatos, V. Vita","doi":"10.37394/232016.2023.18.7","DOIUrl":"https://doi.org/10.37394/232016.2023.18.7","url":null,"abstract":"Power control centers have evolved since their ground-breaking inception in the 1960s, and they are extremely important for the operation of the power system, ensuring maximum reliability. There has been much discussion about mandating reliability requirements, but for the most part, reliability standards are already in place for electricity grid design and operation. Unfortunately, these standards do not examine in detail monitoring and control, possibly due to the false belief that reliability primarily comes from redundancies in transmission and generation. The grid can operate even more closely to its limits thanks to improved grid control and monitoring, which also increase reliability. In this paper, the significant role of the power system control centers in the event of a major blackout is discussed, proving their significance in the restoration process.","PeriodicalId":38993,"journal":{"name":"WSEAS Transactions on Power Systems","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47759183","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 : 2023-03-21DOI: 10.37394/232016.2023.18.5
E. Gospodinova
This paper examines the investigation and optimization of existing approaches for the efficient deployment of renewable energy-based power generation facilities and a genetic algorithm for predicting the operating mode with the help of efficient deployment of production facilities. The developed genetic algorithm model is based on the use of a radial basic neural network. As a result of these neural networks, it becomes possible to minimize the cost of data processing time and use them in solving technical and economic problems that require high-speed processing. The proposed approach allows for obtaining the most accurate and justified option for the deployment of renewable energy sources to solve the problem of active power reserves and allows for forecasting with an error of no more than 20%.
{"title":"Mathematical Modeling and Planning of Energy Production using a Neural Network","authors":"E. Gospodinova","doi":"10.37394/232016.2023.18.5","DOIUrl":"https://doi.org/10.37394/232016.2023.18.5","url":null,"abstract":"This paper examines the investigation and optimization of existing approaches for the efficient deployment of renewable energy-based power generation facilities and a genetic algorithm for predicting the operating mode with the help of efficient deployment of production facilities. The developed genetic algorithm model is based on the use of a radial basic neural network. As a result of these neural networks, it becomes possible to minimize the cost of data processing time and use them in solving technical and economic problems that require high-speed processing. The proposed approach allows for obtaining the most accurate and justified option for the deployment of renewable energy sources to solve the problem of active power reserves and allows for forecasting with an error of no more than 20%.","PeriodicalId":38993,"journal":{"name":"WSEAS Transactions on Power Systems","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69930498","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 : 2023-03-17DOI: 10.37394/232016.2023.18.4
O. Osaloni, A. S. Akinyemi, Abayomi Adebiyi, Ayodeji Olalekan Salau
The recent innovation in power electronic application in the electrical power system (EPS) has given birth to an Improved Unified Power Quality Conditioner (IUPQC) that positively impacts the electrical power system (EPS). The previously available mitigation approaches with the application IUPQC are monotonous and are major designs for a particular power quality (PQ) issue which does not take care of the degree of impart. This paper presents an effective control architecture of an IUPQC design for sensitive loads in hybrid Photovoltaic Solar (PV) connected grid, concentrating on the voltage demand of loads that respond to slight changes. The objective of this work is to design a flexible controller that can respond to the different degrees of PQ challenges concerning voltage, variable load, and solar irradiation. It has combined the merits of an IUPQC and grid-integrated PV source. Effective controllers for Voltage Source Inverter (VSI) connected in series and Current Source Inverter (CSI) connected in shunt compensators of the UPQC are implemented to increase device strength for different voltage and current distortions. The series compensator was controlled using an enhanced Synchronous Reference Frame (SRF) technique based on adaptive notch filters. An Adaptive Logarithmic Absolute Algorithm (ALAL) was deployed for the parallel section of the proposed approach. The Mean Turning Filter (MTF) was used as a replacement for a low pass filter (LPF) for direct current node voltage management, leaving high and low-frequency ripples unaffected. To maintain a constant current on the grid side during grid disturbances, a feed-forward element has been introduced to the shunt CSI controller. Under various network situations, such as under-voltage, over-voltage, voltage distortion, harmonics, rapid load changes, and fluctuation in solar power, the control system performance is better as confirmed by experimental validation. Finally, it is observed that the voltage profile of 0.984 p.u. due to application control falling within the permissible limits. The proposed controllers are tested in the MATLAB Simulink on a developed distribution system model and validated experimental prototype.
{"title":"An Effective Control Technique to Implement an IUPQC Design for Sensitive Loads in a Hybrid Solar PV-Grid Connection","authors":"O. Osaloni, A. S. Akinyemi, Abayomi Adebiyi, Ayodeji Olalekan Salau","doi":"10.37394/232016.2023.18.4","DOIUrl":"https://doi.org/10.37394/232016.2023.18.4","url":null,"abstract":"The recent innovation in power electronic application in the electrical power system (EPS) has given birth to an Improved Unified Power Quality Conditioner (IUPQC) that positively impacts the electrical power system (EPS). The previously available mitigation approaches with the application IUPQC are monotonous and are major designs for a particular power quality (PQ) issue which does not take care of the degree of impart. This paper presents an effective control architecture of an IUPQC design for sensitive loads in hybrid Photovoltaic Solar (PV) connected grid, concentrating on the voltage demand of loads that respond to slight changes. The objective of this work is to design a flexible controller that can respond to the different degrees of PQ challenges concerning voltage, variable load, and solar irradiation. It has combined the merits of an IUPQC and grid-integrated PV source. Effective controllers for Voltage Source Inverter (VSI) connected in series and Current Source Inverter (CSI) connected in shunt compensators of the UPQC are implemented to increase device strength for different voltage and current distortions. The series compensator was controlled using an enhanced Synchronous Reference Frame (SRF) technique based on adaptive notch filters. An Adaptive Logarithmic Absolute Algorithm (ALAL) was deployed for the parallel section of the proposed approach. The Mean Turning Filter (MTF) was used as a replacement for a low pass filter (LPF) for direct current node voltage management, leaving high and low-frequency ripples unaffected. To maintain a constant current on the grid side during grid disturbances, a feed-forward element has been introduced to the shunt CSI controller. Under various network situations, such as under-voltage, over-voltage, voltage distortion, harmonics, rapid load changes, and fluctuation in solar power, the control system performance is better as confirmed by experimental validation. Finally, it is observed that the voltage profile of 0.984 p.u. due to application control falling within the permissible limits. The proposed controllers are tested in the MATLAB Simulink on a developed distribution system model and validated experimental prototype.","PeriodicalId":38993,"journal":{"name":"WSEAS Transactions on Power Systems","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46133756","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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