Pub Date : 2022-12-12DOI: 10.1109/SASG57022.2022.10201209
M. Hossain, W. Hamanah, M. Mamdouh, A. Al-Awami, M. A. Abido
Solar and wind energy are highly intermittent and difficult to match with user’s demands. Within this context, energy storage, especially the battery energy storage system, has been recognized as a key technology to address such intermittency and to facilitate the future penetration of renewables sustainably. Due to light-weight and high energy density, the lithium-ion battery is taking a large portion of the actual storage device’s role in grid and electric vehicle application. This work develops a bidirectional power flow control for the single-phase grid to lithium-ion battery and vice versa. The proposed system is initially developed in MATLAB Simulink and a laboratory prototype is constructed to verify the results experimentally. A full bridge converter system based on SiC-MOSFET switches is utilized. Quadrature transport delay and phase synchronization technique are used to transform the single-phase time varying stationary signal into the time invariant dq rotating signal. The charging and discharging current controller of grid connected battery is developed in dq frame. The current controller results in smaller overshoot, almost zero steady-state error, and rapid tracking. The experimental and simulation results are found to be in good agreement.
{"title":"Bidirectional power flow control of grid to battery and battery to grid systems for Energy Storage application of Microgrids","authors":"M. Hossain, W. Hamanah, M. Mamdouh, A. Al-Awami, M. A. Abido","doi":"10.1109/SASG57022.2022.10201209","DOIUrl":"https://doi.org/10.1109/SASG57022.2022.10201209","url":null,"abstract":"Solar and wind energy are highly intermittent and difficult to match with user’s demands. Within this context, energy storage, especially the battery energy storage system, has been recognized as a key technology to address such intermittency and to facilitate the future penetration of renewables sustainably. Due to light-weight and high energy density, the lithium-ion battery is taking a large portion of the actual storage device’s role in grid and electric vehicle application. This work develops a bidirectional power flow control for the single-phase grid to lithium-ion battery and vice versa. The proposed system is initially developed in MATLAB Simulink and a laboratory prototype is constructed to verify the results experimentally. A full bridge converter system based on SiC-MOSFET switches is utilized. Quadrature transport delay and phase synchronization technique are used to transform the single-phase time varying stationary signal into the time invariant dq rotating signal. The charging and discharging current controller of grid connected battery is developed in dq frame. The current controller results in smaller overshoot, almost zero steady-state error, and rapid tracking. The experimental and simulation results are found to be in good agreement.","PeriodicalId":206589,"journal":{"name":"2022 Saudi Arabia Smart Grid (SASG)","volume":"20 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":"121466055","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/SASG57022.2022.10201226
J. Yasin, Ashrafi Ali., Muhammad Nihal Hussain, Malek M. Al-Hajji, Majid Farhan, H. Qazi, S. Temtem, Sebastian Stepanecsu, Garcha Hardeep, Fabian Georges, S. Minić
In line with the objectives of Vision 2030 laid out by the Kingdom of Saudi Arabia (KSA), ambitious levels of Renewable Energy Sources (RES) need to be integrated into the network. This objective requires a systematic analysis of the impacts of renewable sources on the network across varying load growth & renewable deployment scenarios.Amongst other aspects, it includes ensuring the adequacy of the generation mix to counter renewable variability & uncertainty and a cost-beneficial reduction of the curtailment levels through optimal allocation of RES and storage resources. This optimal allocation is performed while considering the capacity of the transmission system and, where required, strengthening the transmission network to make it N−1 secure for each of the expected network states across the analysis scenario.The augmentation and testing of a transmission system that meets these security requirements are conducted by implementing a DC load flow calculation spanning each hour of the year. The outcomes of this analysis form the basis for further steady-state (AC) and dynamic analysis of the network.
{"title":"Technical assessment of KSA Power System with large participation of renewables","authors":"J. Yasin, Ashrafi Ali., Muhammad Nihal Hussain, Malek M. Al-Hajji, Majid Farhan, H. Qazi, S. Temtem, Sebastian Stepanecsu, Garcha Hardeep, Fabian Georges, S. Minić","doi":"10.1109/SASG57022.2022.10201226","DOIUrl":"https://doi.org/10.1109/SASG57022.2022.10201226","url":null,"abstract":"In line with the objectives of Vision 2030 laid out by the Kingdom of Saudi Arabia (KSA), ambitious levels of Renewable Energy Sources (RES) need to be integrated into the network. This objective requires a systematic analysis of the impacts of renewable sources on the network across varying load growth & renewable deployment scenarios.Amongst other aspects, it includes ensuring the adequacy of the generation mix to counter renewable variability & uncertainty and a cost-beneficial reduction of the curtailment levels through optimal allocation of RES and storage resources. This optimal allocation is performed while considering the capacity of the transmission system and, where required, strengthening the transmission network to make it N−1 secure for each of the expected network states across the analysis scenario.The augmentation and testing of a transmission system that meets these security requirements are conducted by implementing a DC load flow calculation spanning each hour of the year. The outcomes of this analysis form the basis for further steady-state (AC) and dynamic analysis of the network.","PeriodicalId":206589,"journal":{"name":"2022 Saudi Arabia Smart Grid (SASG)","volume":"50 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":"123632307","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/SASG57022.2022.10199458
Sami A. Alshuwair
Increasing global demand for energy and the consequential environmental implications continue to challenge utilities. The pressure to maintain operational integrity and modernize aging infrastructure under changing climate and consumption/production patterns persists, while disruption at the grid edge driven by an exponential pace of digital innovation makes the traditional energy provisioning model unsustainable. To meet smart grid power utilities goals for reliability, affordability and sustainability in these dynamic times, utilities must modernize the power grid to capitalize on new and emerging technologies. These technologies include Edge Computing and Internet of Things (IoT) solutions that turn operational data into actionable intelligence. This paper provides a comprehensive overview of potential Edge Computing applications in electrical smart grid and distributed systems; including definition, divers, industry best practices and recommended cybersecurity control measures.
{"title":"Edge Computing Applications for Smart Grid and Distributed Systems","authors":"Sami A. Alshuwair","doi":"10.1109/SASG57022.2022.10199458","DOIUrl":"https://doi.org/10.1109/SASG57022.2022.10199458","url":null,"abstract":"Increasing global demand for energy and the consequential environmental implications continue to challenge utilities. The pressure to maintain operational integrity and modernize aging infrastructure under changing climate and consumption/production patterns persists, while disruption at the grid edge driven by an exponential pace of digital innovation makes the traditional energy provisioning model unsustainable. To meet smart grid power utilities goals for reliability, affordability and sustainability in these dynamic times, utilities must modernize the power grid to capitalize on new and emerging technologies. These technologies include Edge Computing and Internet of Things (IoT) solutions that turn operational data into actionable intelligence. This paper provides a comprehensive overview of potential Edge Computing applications in electrical smart grid and distributed systems; including definition, divers, industry best practices and recommended cybersecurity control measures.","PeriodicalId":206589,"journal":{"name":"2022 Saudi Arabia Smart Grid (SASG)","volume":"59 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":"122603320","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/SASG57022.2022.10200370
Lucy Electric, Lucy Switchgear
With climate change affecting every country, utilities need to manage the changing generation mix, whilst still ensuring security of supply and maintaining affordability for the consumers. This requires more detailed, accurate and real-time information of power networks as well as more responsive control local to the distributed energy resources. Monitoring and control technologies for MV and LV electricity networks provide a positive impact on decarbonisation, quality of service and the financial efficiency of these networks. This paper reviews the recent technological advances in localised monitoring and control of power distribution networks and how they help provide the flexibility to support efficient integration of low carbon technologies. Additionally, the potential services that can be leveraged by the utility in meeting their sustainability goals and the future preparedness of the network are also discussed.
{"title":"Developments in intelligent switchgear solutions to help meet sustainability goals","authors":"Lucy Electric, Lucy Switchgear","doi":"10.1109/SASG57022.2022.10200370","DOIUrl":"https://doi.org/10.1109/SASG57022.2022.10200370","url":null,"abstract":"With climate change affecting every country, utilities need to manage the changing generation mix, whilst still ensuring security of supply and maintaining affordability for the consumers. This requires more detailed, accurate and real-time information of power networks as well as more responsive control local to the distributed energy resources. Monitoring and control technologies for MV and LV electricity networks provide a positive impact on decarbonisation, quality of service and the financial efficiency of these networks. This paper reviews the recent technological advances in localised monitoring and control of power distribution networks and how they help provide the flexibility to support efficient integration of low carbon technologies. Additionally, the potential services that can be leveraged by the utility in meeting their sustainability goals and the future preparedness of the network are also discussed.","PeriodicalId":206589,"journal":{"name":"2022 Saudi Arabia Smart Grid (SASG)","volume":"10 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":"121634955","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/SASG57022.2022.10201237
Jiten Deonarain, H. Albinali, M. Aljanobi
The Power Industry is adopting digitalization technologies available in the Industrial Revolution (IR) 4.0 era. These technologies are diverse by design, covering different assets and processes. However, they all are reliant on one common item, data. Data is available in many forms, from paper to offline digital readings to real-time field sensors. The availability and reliability (i.e., quality) of data is critical especially for Monitoring and Diagnostic (M&D) functions. This paper details the practical experience of deploying and utilizing “big data” with specific focus on data quality in Advanced Analytical Solutions. A methodology is proposed to help utilities identify areas of data quality improvement for both the deployment and utilization phases of big data projects.
{"title":"Qualitative Analysis and Understanding Impact of Data Quality on Advanced Analytical Solutions","authors":"Jiten Deonarain, H. Albinali, M. Aljanobi","doi":"10.1109/SASG57022.2022.10201237","DOIUrl":"https://doi.org/10.1109/SASG57022.2022.10201237","url":null,"abstract":"The Power Industry is adopting digitalization technologies available in the Industrial Revolution (IR) 4.0 era. These technologies are diverse by design, covering different assets and processes. However, they all are reliant on one common item, data. Data is available in many forms, from paper to offline digital readings to real-time field sensors. The availability and reliability (i.e., quality) of data is critical especially for Monitoring and Diagnostic (M&D) functions. This paper details the practical experience of deploying and utilizing “big data” with specific focus on data quality in Advanced Analytical Solutions. A methodology is proposed to help utilities identify areas of data quality improvement for both the deployment and utilization phases of big data projects.","PeriodicalId":206589,"journal":{"name":"2022 Saudi Arabia Smart Grid (SASG)","volume":"1997 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":"128213460","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/SASG57022.2022.10200191
Drew McGuire, Dexter Lewis, Thomas Short, Joseph Potvin, Murad Anwer, Mohammad R. Tiro, Mohammad D. AlShahrani, Ibrahim A. AlMohaisin, Mohammad Amer Ahmad Al-Rumaih
Modern distribution systems have undergone a tremendous amount of change in recent years, and the rate of change appears to be accelerating. This is due to a combination of drivers from stakeholder expectations, technology advancement, increased reliance on electricity, and expectations of further electrification. This paper and associated presentation will address key trends that are emerging and what utilities can do to shape the next generation smart grid. Key trends discussed here include artificial intelligence and imagery, secondary benefits of AMI systems, and designing resilient overhead distribution structures. While not exhaustive, these topics give a glimpse into the trends in distribution asset management. This paper and discussion will describe each topic in detail, provide an update on current R&D in on the topic, and will present opportunities for utilities to identify near-term actions to continue development.
{"title":"Emerging Trends in Distribution Reliability, Safety, and Resilience","authors":"Drew McGuire, Dexter Lewis, Thomas Short, Joseph Potvin, Murad Anwer, Mohammad R. Tiro, Mohammad D. AlShahrani, Ibrahim A. AlMohaisin, Mohammad Amer Ahmad Al-Rumaih","doi":"10.1109/SASG57022.2022.10200191","DOIUrl":"https://doi.org/10.1109/SASG57022.2022.10200191","url":null,"abstract":"Modern distribution systems have undergone a tremendous amount of change in recent years, and the rate of change appears to be accelerating. This is due to a combination of drivers from stakeholder expectations, technology advancement, increased reliance on electricity, and expectations of further electrification. This paper and associated presentation will address key trends that are emerging and what utilities can do to shape the next generation smart grid. Key trends discussed here include artificial intelligence and imagery, secondary benefits of AMI systems, and designing resilient overhead distribution structures. While not exhaustive, these topics give a glimpse into the trends in distribution asset management. This paper and discussion will describe each topic in detail, provide an update on current R&D in on the topic, and will present opportunities for utilities to identify near-term actions to continue development.","PeriodicalId":206589,"journal":{"name":"2022 Saudi Arabia Smart Grid (SASG)","volume":"25 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":"126868849","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/SASG57022.2022.10199308
A. O. Pires, Hector Leon, Leandro de Marchi Pintos, Patrick Montaner, C. Teoh, Rajesh Ananth
In the context of full digital substations, which includes the capability to exchange voltage and current data in between IEDs in real time over network through Sampled Values protocol, the substations started to be segmented into process and station level, in which interface IEDs, usually responsible to digitize binary and analog data or to Interact directly with primary equipment are now positioned on the yard, cumulating advantages related to cable reduction, civil infrastructure, cost, simpler installation and safer when using fibre optic.A study based on comparison of hypothetical devices with market standard characteristics is presented to analyze quantitative and qualitative advantages for full digital substation architectures based on multiple IEDs against a single PIU as interface for primary equipment. It is also presented how PIUs can be logically modelled using the base concepts of the IEC61850 standard to segregate functions into logical devices and allowing to decouple logical and physical devices, simplifying architectural decisions for both cases.It is concluded that PIU as single interface IED has advantages as smaller footprint and cost and higher system reliability. All mentioned advantages are maximized when the substation architecture considers redundancy of devices, common for critical parts of the electrical system, pointing the use of PIUs as a tendency for modern full digital substations..
{"title":"Process Interface Units (PIU) and its advantages for Full Digital Substations","authors":"A. O. Pires, Hector Leon, Leandro de Marchi Pintos, Patrick Montaner, C. Teoh, Rajesh Ananth","doi":"10.1109/SASG57022.2022.10199308","DOIUrl":"https://doi.org/10.1109/SASG57022.2022.10199308","url":null,"abstract":"In the context of full digital substations, which includes the capability to exchange voltage and current data in between IEDs in real time over network through Sampled Values protocol, the substations started to be segmented into process and station level, in which interface IEDs, usually responsible to digitize binary and analog data or to Interact directly with primary equipment are now positioned on the yard, cumulating advantages related to cable reduction, civil infrastructure, cost, simpler installation and safer when using fibre optic.A study based on comparison of hypothetical devices with market standard characteristics is presented to analyze quantitative and qualitative advantages for full digital substation architectures based on multiple IEDs against a single PIU as interface for primary equipment. It is also presented how PIUs can be logically modelled using the base concepts of the IEC61850 standard to segregate functions into logical devices and allowing to decouple logical and physical devices, simplifying architectural decisions for both cases.It is concluded that PIU as single interface IED has advantages as smaller footprint and cost and higher system reliability. All mentioned advantages are maximized when the substation architecture considers redundancy of devices, common for critical parts of the electrical system, pointing the use of PIUs as a tendency for modern full digital substations..","PeriodicalId":206589,"journal":{"name":"2022 Saudi Arabia Smart Grid (SASG)","volume":"22 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":"130283630","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/SASG57022.2022.10200040
Khalid Alhamdan, Tolga Tural, Ahmed A. Sager
Oil and gas operations are undergoing a transformation as part of the energy transition, where there is an increasing interest in reducing carbon emissions from oil and gas operations. Integrating renewables and low-carbon electricity into new upstream oil and gas fields is considered to be one of the key approaches to minimizing carbon emissions. This paper provides a case study that demonstrates the utilization of renewable energy technologies for oil and gas core operations in remote and challenging environments with a deep insight into the first off-grid PV solar unconventional gas field in Saudi Arabia along with analyzing the system performance. The off-grid solar PV and ES systems deployed for this application were custom-designed, driven by key requirements focused on high-reliability, performance, and long-lifecycle with minimal maintenance. The paper also highlighted the areas of opportunities that can be explored and implemented to optimize system solution deployment for long-term economical and environmentally sustainable operations, along with adopting new technologies such as robotic cleaning and modular thermoelectric.
{"title":"Performance Assessment of First Off-Grid Solar PV and Battery Power Systems Deployment for Unconventional Gas Well sites in Saudi Arabia and System Optimization Opportunities","authors":"Khalid Alhamdan, Tolga Tural, Ahmed A. Sager","doi":"10.1109/SASG57022.2022.10200040","DOIUrl":"https://doi.org/10.1109/SASG57022.2022.10200040","url":null,"abstract":"Oil and gas operations are undergoing a transformation as part of the energy transition, where there is an increasing interest in reducing carbon emissions from oil and gas operations. Integrating renewables and low-carbon electricity into new upstream oil and gas fields is considered to be one of the key approaches to minimizing carbon emissions. This paper provides a case study that demonstrates the utilization of renewable energy technologies for oil and gas core operations in remote and challenging environments with a deep insight into the first off-grid PV solar unconventional gas field in Saudi Arabia along with analyzing the system performance. The off-grid solar PV and ES systems deployed for this application were custom-designed, driven by key requirements focused on high-reliability, performance, and long-lifecycle with minimal maintenance. The paper also highlighted the areas of opportunities that can be explored and implemented to optimize system solution deployment for long-term economical and environmentally sustainable operations, along with adopting new technologies such as robotic cleaning and modular thermoelectric.","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":"124110915","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/SASG57022.2022.10199765
F. Al Qahtani, M. Muaafa
Chiller plants (aka: district cooling) account for up to 50% of total energy consumption in a typical facility. Real-time data collected from the central control and monitoring system of a district cooling plant on the operation of chillers, cooling towers, water pumps would help optimize the operation of the system and identify energy saving opportunities. This is made possible by the machine learning capability of AI. It would conduct big data analysis on the characteristics and operation logs of different components of the chiller plant and would then make recommendations for system optimization.
{"title":"Chiller Plant Management Optimization By Artificial Intelligence","authors":"F. Al Qahtani, M. Muaafa","doi":"10.1109/SASG57022.2022.10199765","DOIUrl":"https://doi.org/10.1109/SASG57022.2022.10199765","url":null,"abstract":"Chiller plants (aka: district cooling) account for up to 50% of total energy consumption in a typical facility. Real-time data collected from the central control and monitoring system of a district cooling plant on the operation of chillers, cooling towers, water pumps would help optimize the operation of the system and identify energy saving opportunities. This is made possible by the machine learning capability of AI. It would conduct big data analysis on the characteristics and operation logs of different components of the chiller plant and would then make recommendations for system optimization.","PeriodicalId":206589,"journal":{"name":"2022 Saudi Arabia Smart Grid (SASG)","volume":"46 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":"121532673","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/SASG57022.2022.10199799
Abdulaziz Alshalawi, Hisham AL-Barrak, Mohammed Khalid
This paper introduces an adaptive active and reactive power control for inverter-based Battery Energy Storage System (BESS) with other Distributed Generators (DGs) of Microgrid (MG). The adaptive P-Q controller utilizes the advantages of Genetic Algorithm (GA) Optimizer and Artificial Neural Network (ANN) which resulted in a very efficient technique. The system is modeled in grid-connected mode to control active and reactive power exported and imported from the grid. Different scenarios were implemented under critical load levels and the proposed adaptive control technique exhibits excellent performance in supporting the load with the required power and sustain grid voltage requirement.
{"title":"P-Q Control of Microgrid with Energy Storage Using Adaptive Controller","authors":"Abdulaziz Alshalawi, Hisham AL-Barrak, Mohammed Khalid","doi":"10.1109/SASG57022.2022.10199799","DOIUrl":"https://doi.org/10.1109/SASG57022.2022.10199799","url":null,"abstract":"This paper introduces an adaptive active and reactive power control for inverter-based Battery Energy Storage System (BESS) with other Distributed Generators (DGs) of Microgrid (MG). The adaptive P-Q controller utilizes the advantages of Genetic Algorithm (GA) Optimizer and Artificial Neural Network (ANN) which resulted in a very efficient technique. The system is modeled in grid-connected mode to control active and reactive power exported and imported from the grid. Different scenarios were implemented under critical load levels and the proposed adaptive control technique exhibits excellent performance in supporting the load with the required power and sustain grid voltage requirement.","PeriodicalId":206589,"journal":{"name":"2022 Saudi Arabia Smart Grid (SASG)","volume":"58 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":"124554104","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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