Pub Date : 2022-12-12DOI: 10.1109/SASG57022.2022.10199380
Talal Al Shaikh, Oscar Bonita, Farooq Jan Khan
Currently, it is the intention of all member countries in the Gulf region to diversify individual energy mix to reduce their dependence on fossil fuel and the integrations of cleaner and sustainable energy to reduce the carbon emission in the atmosphere. Furthermore, the optimistic development of Renewable Energy Sources (RES) technology and cost reduction is another driver to encourage Gulf Countries to integrate more RES into their electrical grids and consider RES in their future plans.The impact of high penetration of RES on GCC countries power grids has been reduced significantly due to the existence of GCCIA grid that interconnects the six Gulf Member Countries power system through 400 kV and 220 kV network and 3-pole BtB HVDC converter facility which enhanced the GCC interconnected power system performance, for instance increases the system Inertia and the frequency response of the combined power system. Cross border Interconnection projects are the best low-cost way to overcome the operational challenges of integrating renewable energy into the power grids.This paper discusses the role of GCC Interconnector in improving system response and facilitating future penetration of RES based on international experiences of interconnections for better understanding the impact and introduce new operational philosophy. Interconnection operation capabilities like GCCIA introduces smoothing effect of significant variable RES on the grid considering that it will drive an evolution preferably power system planning and operation in future.Moreover, this paper highlights the operational challenges and opportunities, which is in line with integration of RES into electrical grids and how these possible challenges can be addressed in a proper perspective. The goal is to enlighten operational awareness for renewable uncertainty and what are the challenges from system operations perspective. Finally, it will present the conclusion to look forward to set the international best practice and operational procedures resulting to secure introducing renewable energy at interconnection with coordinated involvement of all GCC TSO’s stockholders.
{"title":"The Role of GCC Interconnection for Renewable Energy Penetration","authors":"Talal Al Shaikh, Oscar Bonita, Farooq Jan Khan","doi":"10.1109/SASG57022.2022.10199380","DOIUrl":"https://doi.org/10.1109/SASG57022.2022.10199380","url":null,"abstract":"Currently, it is the intention of all member countries in the Gulf region to diversify individual energy mix to reduce their dependence on fossil fuel and the integrations of cleaner and sustainable energy to reduce the carbon emission in the atmosphere. Furthermore, the optimistic development of Renewable Energy Sources (RES) technology and cost reduction is another driver to encourage Gulf Countries to integrate more RES into their electrical grids and consider RES in their future plans.The impact of high penetration of RES on GCC countries power grids has been reduced significantly due to the existence of GCCIA grid that interconnects the six Gulf Member Countries power system through 400 kV and 220 kV network and 3-pole BtB HVDC converter facility which enhanced the GCC interconnected power system performance, for instance increases the system Inertia and the frequency response of the combined power system. Cross border Interconnection projects are the best low-cost way to overcome the operational challenges of integrating renewable energy into the power grids.This paper discusses the role of GCC Interconnector in improving system response and facilitating future penetration of RES based on international experiences of interconnections for better understanding the impact and introduce new operational philosophy. Interconnection operation capabilities like GCCIA introduces smoothing effect of significant variable RES on the grid considering that it will drive an evolution preferably power system planning and operation in future.Moreover, this paper highlights the operational challenges and opportunities, which is in line with integration of RES into electrical grids and how these possible challenges can be addressed in a proper perspective. The goal is to enlighten operational awareness for renewable uncertainty and what are the challenges from system operations perspective. Finally, it will present the conclusion to look forward to set the international best practice and operational procedures resulting to secure introducing renewable energy at interconnection with coordinated involvement of all GCC TSO’s stockholders.","PeriodicalId":206589,"journal":{"name":"2022 Saudi Arabia Smart Grid (SASG)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129136520","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 : 2022-12-12DOI: 10.1109/SASG57022.2022.10200811
Hani A. Alkhazim, Samer I. Bajunaid, Wael A. Alsulami, Mohammad S. Alghamdi
The integration of renewable energy sources RES and renewable distributed generation RDG into power systems is increasing worldwide due to recent advancements in power electronics and the continuously decreasing cost of photovoltaic cells. These systems are also called inverter-based resources IBRs due to their method of connection to the grid. They have a behavior that is different from the traditional generation system during faults. IBRs inject a controlled non-conventional short circuit current that makes it challenging to the current practice on power system protection in regard to protective relaying, fault calculation/simulation and protection settings.In recent years, many studies have examined this subject and attempted to identify problems and propose possible solutions. Hence, this study aims to provide a systematic literature review SLR on the impact of IBRs on power system protection both on transmission RES and distribution RDG levels. This SLR will focus on identifying the issues, methods and tools to overcome these challenges and to identifying trends in this area. The SLR will review publications from the early 2000s up to 2022. This review can serve as a basis for Saudi protection engineers in advancing the understanding of the issue and addressing the gaps in the field.
{"title":"Impact of Inverter Based Resources on Power System Protective Relaying, Fault Calculation and Protection Setting: A Systematic Literature Review","authors":"Hani A. Alkhazim, Samer I. Bajunaid, Wael A. Alsulami, Mohammad S. Alghamdi","doi":"10.1109/SASG57022.2022.10200811","DOIUrl":"https://doi.org/10.1109/SASG57022.2022.10200811","url":null,"abstract":"The integration of renewable energy sources RES and renewable distributed generation RDG into power systems is increasing worldwide due to recent advancements in power electronics and the continuously decreasing cost of photovoltaic cells. These systems are also called inverter-based resources IBRs due to their method of connection to the grid. They have a behavior that is different from the traditional generation system during faults. IBRs inject a controlled non-conventional short circuit current that makes it challenging to the current practice on power system protection in regard to protective relaying, fault calculation/simulation and protection settings.In recent years, many studies have examined this subject and attempted to identify problems and propose possible solutions. Hence, this study aims to provide a systematic literature review SLR on the impact of IBRs on power system protection both on transmission RES and distribution RDG levels. This SLR will focus on identifying the issues, methods and tools to overcome these challenges and to identifying trends in this area. The SLR will review publications from the early 2000s up to 2022. This review can serve as a basis for Saudi protection engineers in advancing the understanding of the issue and addressing the gaps in the field.","PeriodicalId":206589,"journal":{"name":"2022 Saudi Arabia Smart Grid (SASG)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124230701","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 : 2022-12-12DOI: 10.1109/SASG57022.2022.10201038
K. A. Alhamdan, Khalid. R. Alshabib, Salman. S. Alyani
The 300 MW Sakaka Independent Power Plant (IPP) is the first plant in the Saudi national renewable energy program. The plant, located at Al Jouf, covered an area of 6 square kilometers. Sakaka IPP harnesses solar energy by utilizing photovoltaic (PV) technology.The power plant, which is connected to the national electricity grid, is supplying clean energy to power more than 75,000 Saudi Arabian households and avoid the production of more than 430,000 t of carbon dioxide (CO2) a year.This paper investigates the effects of the annual ambient temperature increase on solar PV panels performance. A JKMS225PP-60B solar panel has been used as reference model. The simulation results show that the temperature impacts solar panels critical parameters such as open circuit voltage, short circuit current and fill factor. Although the performance ratio during cold ambient temperature was better than hot temperature, the energy production was less due to low irradiance values during the cold weather conditions.
{"title":"Effect of Annual Ambient Temperature Increase on Solar PV plant performance: Case Study of 300MW, Sakaka Saudi Arabia","authors":"K. A. Alhamdan, Khalid. R. Alshabib, Salman. S. Alyani","doi":"10.1109/SASG57022.2022.10201038","DOIUrl":"https://doi.org/10.1109/SASG57022.2022.10201038","url":null,"abstract":"The 300 MW Sakaka Independent Power Plant (IPP) is the first plant in the Saudi national renewable energy program. The plant, located at Al Jouf, covered an area of 6 square kilometers. Sakaka IPP harnesses solar energy by utilizing photovoltaic (PV) technology.The power plant, which is connected to the national electricity grid, is supplying clean energy to power more than 75,000 Saudi Arabian households and avoid the production of more than 430,000 t of carbon dioxide (CO2) a year.This paper investigates the effects of the annual ambient temperature increase on solar PV panels performance. A JKMS225PP-60B solar panel has been used as reference model. The simulation results show that the temperature impacts solar panels critical parameters such as open circuit voltage, short circuit current and fill factor. Although the performance ratio during cold ambient temperature was better than hot temperature, the energy production was less due to low irradiance values during the cold weather conditions.","PeriodicalId":206589,"journal":{"name":"2022 Saudi Arabia Smart Grid (SASG)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121121329","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 : 2022-12-12DOI: 10.1109/SASG57022.2022.10200406
Abdullah L. Shah, W. Mesbah, A. Al-Awami
Power losses in the power grid are categorized into technical and non-technical losses (NTL). NTL include attacking the metering unit, attacking the data of the metering system, or meter malfunctions. A report published in 2017 by a smart infrastructure market intelligence firm estimates the global annual losses due to NTL to be 96 billion US dollars. To reduce the NTL in the distribution systems, deploying a robust NTL detection/correction technique is essential. This work provides a hardware demonstration for a novel coding-based metering system that has been proposed in an earlier work for attack detection and correction. It is worth mentioning that a hardware demonstration/verification for the coding-based metering system has not been reported yet in the literature. The coding-based metering system is based on the Hamming code, which was originally used to detect and correct errors in binary data transmission. It can efficiently detect/correct an attack on smart meters using only very few additional meters. The laboratory testing showed the robustness and effectiveness of the coding-based system.
{"title":"Hardware Demonstration of a Coding-Based Attack Detection/Correction Metering System","authors":"Abdullah L. Shah, W. Mesbah, A. Al-Awami","doi":"10.1109/SASG57022.2022.10200406","DOIUrl":"https://doi.org/10.1109/SASG57022.2022.10200406","url":null,"abstract":"Power losses in the power grid are categorized into technical and non-technical losses (NTL). NTL include attacking the metering unit, attacking the data of the metering system, or meter malfunctions. A report published in 2017 by a smart infrastructure market intelligence firm estimates the global annual losses due to NTL to be 96 billion US dollars. To reduce the NTL in the distribution systems, deploying a robust NTL detection/correction technique is essential. This work provides a hardware demonstration for a novel coding-based metering system that has been proposed in an earlier work for attack detection and correction. It is worth mentioning that a hardware demonstration/verification for the coding-based metering system has not been reported yet in the literature. The coding-based metering system is based on the Hamming code, which was originally used to detect and correct errors in binary data transmission. It can efficiently detect/correct an attack on smart meters using only very few additional meters. The laboratory testing showed the robustness and effectiveness of the coding-based system.","PeriodicalId":206589,"journal":{"name":"2022 Saudi Arabia Smart Grid (SASG)","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115456130","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 : 2022-12-12DOI: 10.1109/SASG57022.2022.10199346
Alassane Ndour, Young-Ho Kwon, M. Al Nassar, Mohammed M. Abahussain
In Saudi Arabia, unconventional isolated gas projects have been deployed to feed in large power plants connected to the grid. One of the major risks of such configuration is the interruption of the gas supply resulting from the fluctuating power output of the power plant to meet electrical system demand. These fluctuations have negative impacts on the operation and lifecycle of gas wells and affect the system reliability. This paper proposes a solution combining small-scale gas storage and a PV plant to mitigate these risks. The gas storage helps to maintain a high reliability at the isolated gas processing facility while the PV plant supports liquid fuel displacement and improve fuel efficiency. A Plexos model is developed to mimic the operation of the proposed solution and illustrate the potential benefits. Furthermore, the validation of the solution supports structuring a comprehensive and strategic vision to re-configuring the grid/gas system with high reliability, resiliency and sustainability.
{"title":"PV and Gas Storage Solution to Optimize and Enhance Power/Gas System Reliability","authors":"Alassane Ndour, Young-Ho Kwon, M. Al Nassar, Mohammed M. Abahussain","doi":"10.1109/SASG57022.2022.10199346","DOIUrl":"https://doi.org/10.1109/SASG57022.2022.10199346","url":null,"abstract":"In Saudi Arabia, unconventional isolated gas projects have been deployed to feed in large power plants connected to the grid. One of the major risks of such configuration is the interruption of the gas supply resulting from the fluctuating power output of the power plant to meet electrical system demand. These fluctuations have negative impacts on the operation and lifecycle of gas wells and affect the system reliability. This paper proposes a solution combining small-scale gas storage and a PV plant to mitigate these risks. The gas storage helps to maintain a high reliability at the isolated gas processing facility while the PV plant supports liquid fuel displacement and improve fuel efficiency. A Plexos model is developed to mimic the operation of the proposed solution and illustrate the potential benefits. Furthermore, the validation of the solution supports structuring a comprehensive and strategic vision to re-configuring the grid/gas system with high reliability, resiliency and sustainability.","PeriodicalId":206589,"journal":{"name":"2022 Saudi Arabia Smart Grid (SASG)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115617401","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 : 2022-12-12DOI: 10.1109/SASG57022.2022.10200268
M. Ali, Muhammad Khalid
A wind energy generation system (WEGS) is considered one of the cleanest forms of renewable energy which leads to a considerable reduction in carbon footprint. Wind turbine-driven induction generators are connected through power converters to feed the grid at a desired voltage and frequency. For this purpose, multiphase induction generators (MPIG) in conjunction with multiphase matrix converters (MPMC) are being explored due to their advantages of higher torque density, greater fault tolerance, and lower current per phase requirement. The multiphase motors can be used with MPMCs to integrate with the three-phase grid. In this work, the modulation of multiphase matrix converters is considered when employed with six-phase machines. A six-phase to three-phase matrix converter (MC) and three-phase to six-phase MC modulation will be presented, allowing the integration of a six-phase induction machine with the three-phase grid. The unity voltage transfer ratio for six to three configurations is its distinguishing feature for which the modulation functions will be shown. Further, the optimal modulation functions will be derived for three to six MCs using the metaheuristic genetic algorithm-based artificial intelligence technique. The work will be supported by analytics and MATLAB-based simulation results.
{"title":"Multiphase Matrix Converter Modulation for Wind Energy Systems using Genetic Algorithm","authors":"M. Ali, Muhammad Khalid","doi":"10.1109/SASG57022.2022.10200268","DOIUrl":"https://doi.org/10.1109/SASG57022.2022.10200268","url":null,"abstract":"A wind energy generation system (WEGS) is considered one of the cleanest forms of renewable energy which leads to a considerable reduction in carbon footprint. Wind turbine-driven induction generators are connected through power converters to feed the grid at a desired voltage and frequency. For this purpose, multiphase induction generators (MPIG) in conjunction with multiphase matrix converters (MPMC) are being explored due to their advantages of higher torque density, greater fault tolerance, and lower current per phase requirement. The multiphase motors can be used with MPMCs to integrate with the three-phase grid. In this work, the modulation of multiphase matrix converters is considered when employed with six-phase machines. A six-phase to three-phase matrix converter (MC) and three-phase to six-phase MC modulation will be presented, allowing the integration of a six-phase induction machine with the three-phase grid. The unity voltage transfer ratio for six to three configurations is its distinguishing feature for which the modulation functions will be shown. Further, the optimal modulation functions will be derived for three to six MCs using the metaheuristic genetic algorithm-based artificial intelligence technique. The work will be supported by analytics and MATLAB-based simulation results.","PeriodicalId":206589,"journal":{"name":"2022 Saudi Arabia Smart Grid (SASG)","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128934712","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 : 2022-12-12DOI: 10.1109/SASG57022.2022.10200313
Arndt Telschow, Artemy Voroshilov, Rene Böringer
A major challenge in managing critical infrastructure such as power grids and water supply systems is to continually balance generation and demand. A reliable forecast is essential to optimize production and maintain grid stability. However, dynamics of power generation and consumption in modern grids are becoming increasingly difficult to predict due to dependencies on meteorological and socio-economic factors. Here we present a new data analysis framework designed to overcome such complexity. The forecast itself is generated using nonlinear time series analysis combined with machine learning. However, to reduce complexity, the forecast is made either by strictly univariate analysis or after filtering by causal interference analysis. The method thus provides good forecasts even for complex, high-dimensional situations in which classic methods usually fail. We illustrate the performance of the method using real data from the most important use cases of load and renewable energy forecasting (see https://24insight.zonos.de/ for a live demo).
{"title":"Overcoming the challenge of complexity: a new data analytics framework for power and water demand forecasting","authors":"Arndt Telschow, Artemy Voroshilov, Rene Böringer","doi":"10.1109/SASG57022.2022.10200313","DOIUrl":"https://doi.org/10.1109/SASG57022.2022.10200313","url":null,"abstract":"A major challenge in managing critical infrastructure such as power grids and water supply systems is to continually balance generation and demand. A reliable forecast is essential to optimize production and maintain grid stability. However, dynamics of power generation and consumption in modern grids are becoming increasingly difficult to predict due to dependencies on meteorological and socio-economic factors. Here we present a new data analysis framework designed to overcome such complexity. The forecast itself is generated using nonlinear time series analysis combined with machine learning. However, to reduce complexity, the forecast is made either by strictly univariate analysis or after filtering by causal interference analysis. The method thus provides good forecasts even for complex, high-dimensional situations in which classic methods usually fail. We illustrate the performance of the method using real data from the most important use cases of load and renewable energy forecasting (see https://24insight.zonos.de/ for a live demo).","PeriodicalId":206589,"journal":{"name":"2022 Saudi Arabia Smart Grid (SASG)","volume":"75 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134162117","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 : 2022-12-12DOI: 10.1109/SASG57022.2022.10200498
Malek Alduhaymi, F. Albeladi
Shifting towards renewable energy sources increases the cybersecurity challenges since various field devices are required to be utilized to ensure the high-performance operation of distributed energy resources (DER). The utilization of these different devices and algorithms makes DGs more vulnerable. In this study, we provide an assessment on the impact of the DG units’ locations in a distribution network during a cyber-attack targeting the pitch angle of a 660-kW turbine and the MPPT of a 0.5 MW PV system. This attack compromises 20% of the output of the DGs. The Wind turbine and the PV system were located in random locations in IEEE 33 bus test system. Three case studies were assessed based on root mean square error.
{"title":"The Impact of the Locations of the DG Units on a Distribution Network during Cyberattacks","authors":"Malek Alduhaymi, F. Albeladi","doi":"10.1109/SASG57022.2022.10200498","DOIUrl":"https://doi.org/10.1109/SASG57022.2022.10200498","url":null,"abstract":"Shifting towards renewable energy sources increases the cybersecurity challenges since various field devices are required to be utilized to ensure the high-performance operation of distributed energy resources (DER). The utilization of these different devices and algorithms makes DGs more vulnerable. In this study, we provide an assessment on the impact of the DG units’ locations in a distribution network during a cyber-attack targeting the pitch angle of a 660-kW turbine and the MPPT of a 0.5 MW PV system. This attack compromises 20% of the output of the DGs. The Wind turbine and the PV system were located in random locations in IEEE 33 bus test system. Three case studies were assessed based on root mean square error.","PeriodicalId":206589,"journal":{"name":"2022 Saudi Arabia Smart Grid (SASG)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123992422","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 : 2022-12-12DOI: 10.1109/SASG57022.2022.10201179
K. A. Alhamdan, S. Arabia
Numerous countries around the globe have decided to reduce their CO2 emissions by considering solar energy technologies for their power generation. Several large-scale PV (LSPV) power plant projects are growing every year. A gigawatt scale has now been introduced in China. Additionally, there is no standard yet found for the design of large-scale PV. One of the purposes of this study is to introduce the most important aspects of designing the LSPV. The aim of this study is to evaluate and identify the best location for large-scale PV plants by using a geographical information system (GIS) technique. Climatic, environmental, and spatial factor areas are considered for producing the GIS map. The result shows that there are huge areas that can be exploited for harvesting energy in Saudi Arabia. The GIS mapping method has many advantages for planning. It enables analysis of terrain for successful planning as well as helps to determine the most popular location for PV farms.
{"title":"Locating Utility-Scale PV Plants in Power System: Case Study of Saudi Arabia","authors":"K. A. Alhamdan, S. Arabia","doi":"10.1109/SASG57022.2022.10201179","DOIUrl":"https://doi.org/10.1109/SASG57022.2022.10201179","url":null,"abstract":"Numerous countries around the globe have decided to reduce their CO2 emissions by considering solar energy technologies for their power generation. Several large-scale PV (LSPV) power plant projects are growing every year. A gigawatt scale has now been introduced in China. Additionally, there is no standard yet found for the design of large-scale PV. One of the purposes of this study is to introduce the most important aspects of designing the LSPV. The aim of this study is to evaluate and identify the best location for large-scale PV plants by using a geographical information system (GIS) technique. Climatic, environmental, and spatial factor areas are considered for producing the GIS map. The result shows that there are huge areas that can be exploited for harvesting energy in Saudi Arabia. The GIS mapping method has many advantages for planning. It enables analysis of terrain for successful planning as well as helps to determine the most popular location for PV farms.","PeriodicalId":206589,"journal":{"name":"2022 Saudi Arabia Smart Grid (SASG)","volume":"127 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132147691","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 : 2022-12-12DOI: 10.1109/SASG57022.2022.10199754
S. Alshahrani, Mohammed Khalid, M. A. Abido
The shift in power generation towards renewable energy (RE) resources interfaced with power electronic-based converters degrade system stability. The logical solution is to increase the synchronous machines number, but an alternative approach is to use grid-forming converter. The grid-forming converter has many control schemes that inject power to bring the grid back to its stable mode. Some of these control schemes mimic synchronous machine functionality and some do not like matching control and virtual oscillator control. This paper proposes a tuning procedure for cascaded PID controllers through setting limits on the controllers’ gain values and then optimizing them with genetic algorithm for a given objective function. Three different controllers are assumed: droop, matching, and VOC controllers.
{"title":"Grid-Forming Converter Control Optimization using Genetic Algorithm with Bounded Regions","authors":"S. Alshahrani, Mohammed Khalid, M. A. Abido","doi":"10.1109/SASG57022.2022.10199754","DOIUrl":"https://doi.org/10.1109/SASG57022.2022.10199754","url":null,"abstract":"The shift in power generation towards renewable energy (RE) resources interfaced with power electronic-based converters degrade system stability. The logical solution is to increase the synchronous machines number, but an alternative approach is to use grid-forming converter. The grid-forming converter has many control schemes that inject power to bring the grid back to its stable mode. Some of these control schemes mimic synchronous machine functionality and some do not like matching control and virtual oscillator control. This paper proposes a tuning procedure for cascaded PID controllers through setting limits on the controllers’ gain values and then optimizing them with genetic algorithm for a given objective function. Three different controllers are assumed: droop, matching, and VOC controllers.","PeriodicalId":206589,"journal":{"name":"2022 Saudi Arabia Smart Grid (SASG)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124409221","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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