Pub Date : 2022-03-20DOI: 10.1109/SGRE53517.2022.9774233
Aslam Amir, H. Shareef, F. Awwad
The advent of renewable energy resources in the power sector has prompted plenty of microgrid projects around the world with new challenges to improve the functionality of the elements in a microgrid. This paper proposes a methodology to enhance the usefulness of one of the major components in such a system namely, the energy storage system. The proposed methodology aims at using the battery energy storage system to improve the load factor of a section of the considered IEEE 34-node test feeder network - modified to function as a standalone microgrid. The novelty of the proposed method is tested by performing simulations on the considered network for a typical one-day economic dispatch problem. The simulations, executed on MATLAB, include two case studies to present the most suitable initial state of charge of the battery energy storage system from among fully and partially charged statuses, to achieve the above objective.
{"title":"Load Factor Improvement in a Standalone Microgrid using Battery Energy Storage System","authors":"Aslam Amir, H. Shareef, F. Awwad","doi":"10.1109/SGRE53517.2022.9774233","DOIUrl":"https://doi.org/10.1109/SGRE53517.2022.9774233","url":null,"abstract":"The advent of renewable energy resources in the power sector has prompted plenty of microgrid projects around the world with new challenges to improve the functionality of the elements in a microgrid. This paper proposes a methodology to enhance the usefulness of one of the major components in such a system namely, the energy storage system. The proposed methodology aims at using the battery energy storage system to improve the load factor of a section of the considered IEEE 34-node test feeder network - modified to function as a standalone microgrid. The novelty of the proposed method is tested by performing simulations on the considered network for a typical one-day economic dispatch problem. The simulations, executed on MATLAB, include two case studies to present the most suitable initial state of charge of the battery energy storage system from among fully and partially charged statuses, to achieve the above objective.","PeriodicalId":64562,"journal":{"name":"智能电网与可再生能源(英文)","volume":"75 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2022-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89823191","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 : 2022-03-20DOI: 10.1109/SGRE53517.2022.9774194
Fadi El Awar, Amani Fawaz, I. Mougharbel, H. Kanaan
Power packet dispatching system is considered an advanced technology in Smart Grids where energy producers, consumers, and prosumers are linked together through energy routers. This energy distribution approach is promising in terms of on-demand energy delivery. In addition, the power packet dispatching is easily integrated into an energy market system. In this paper, an energy distribution algorithm is simulated to demonstrate the feasibility of a router-based experimental setup. In addition, this platform considers the Multi-source Multi-load (MSML) case, heavy load case, the rescheduled power packet delivery and the storage unit connected to a load. The algorithm chooses a suitable power source to match the load need, but if it is insufficient, it selects a combination of the most suitable power sources. Finally, after determining the routers used in the power packets delivery and the paths, specific switches will be controlled to enable the power flow from the source to the destination. Several strategies have been simulated, including the single source single load strategy (SSSL), the single source multi-load (SSML), the multi-source single load (MSSL), and the multi-source multi-load (MSML). Furthermore, the simulation platform has an additional feature that allows classifying loads as high-priority or low-priority to prevent delays. In addition, one of the features of the platform is the time-division multiplexing packet management. Finally, the energy storage system implemented at each load is a strategy that this platform can simulate.
{"title":"Simulation Platform for Power Packet Distribution","authors":"Fadi El Awar, Amani Fawaz, I. Mougharbel, H. Kanaan","doi":"10.1109/SGRE53517.2022.9774194","DOIUrl":"https://doi.org/10.1109/SGRE53517.2022.9774194","url":null,"abstract":"Power packet dispatching system is considered an advanced technology in Smart Grids where energy producers, consumers, and prosumers are linked together through energy routers. This energy distribution approach is promising in terms of on-demand energy delivery. In addition, the power packet dispatching is easily integrated into an energy market system. In this paper, an energy distribution algorithm is simulated to demonstrate the feasibility of a router-based experimental setup. In addition, this platform considers the Multi-source Multi-load (MSML) case, heavy load case, the rescheduled power packet delivery and the storage unit connected to a load. The algorithm chooses a suitable power source to match the load need, but if it is insufficient, it selects a combination of the most suitable power sources. Finally, after determining the routers used in the power packets delivery and the paths, specific switches will be controlled to enable the power flow from the source to the destination. Several strategies have been simulated, including the single source single load strategy (SSSL), the single source multi-load (SSML), the multi-source single load (MSSL), and the multi-source multi-load (MSML). Furthermore, the simulation platform has an additional feature that allows classifying loads as high-priority or low-priority to prevent delays. In addition, one of the features of the platform is the time-division multiplexing packet management. Finally, the energy storage system implemented at each load is a strategy that this platform can simulate.","PeriodicalId":64562,"journal":{"name":"智能电网与可再生能源(英文)","volume":"13 1","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2022-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84911213","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 : 2022-03-20DOI: 10.1109/SGRE53517.2022.9774082
Robert Basmadjian, Amirhossein Shaafieyoun
Renewable energy sources are the better alternative to the traditional fossil-based generation. However, the generation from renewables is discontinuous due to their high dependency on environmental conditions. This makes their integration into our modern grid very challenging and necessitates suitable forecasting models. In this paper, the problem of generating forecasts for the percentage of renewable energy sources is studied. To this end, motivated from our previous work and the lessons learnt, a new set of ARIMA-based models for each month of the year is proposed. A finer analysis for the identification of the exogenous variables is carried out. The improved methodology of this paper contributes to enhanced predictions, which is showed to be not exceeding 10% for the considered years and the case study in Germany.
{"title":"ARIMA-based Forecasts for the Share of Renewable Energy Sources: The Case Study of Germany","authors":"Robert Basmadjian, Amirhossein Shaafieyoun","doi":"10.1109/SGRE53517.2022.9774082","DOIUrl":"https://doi.org/10.1109/SGRE53517.2022.9774082","url":null,"abstract":"Renewable energy sources are the better alternative to the traditional fossil-based generation. However, the generation from renewables is discontinuous due to their high dependency on environmental conditions. This makes their integration into our modern grid very challenging and necessitates suitable forecasting models. In this paper, the problem of generating forecasts for the percentage of renewable energy sources is studied. To this end, motivated from our previous work and the lessons learnt, a new set of ARIMA-based models for each month of the year is proposed. A finer analysis for the identification of the exogenous variables is carried out. The improved methodology of this paper contributes to enhanced predictions, which is showed to be not exceeding 10% for the considered years and the case study in Germany.","PeriodicalId":64562,"journal":{"name":"智能电网与可再生能源(英文)","volume":"53 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2022-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82601441","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 : 2022-03-20DOI: 10.1109/SGRE53517.2022.9774048
Zaid Murad, Fadel Al Anzi, L. Ben‐Brahim
DC-DC boost converters are utilized to step-up the voltage level to match a certain application requirement. Although Conventional boost converter is simple and easy to be implemented, it has a low boosting capability and low power density. Hence, it cannot be used for various applications where high voltage gain is required. Recently, several researches were conducted to develop new voltage boosting techniques for high gain Converters to be used for different applications. Various approaches were developed to achieve this goal, including cascaded, multilevel, interleaved, voltage lift, voltage multiplier, and many other techniques. In this paper, a comprehensive comparative study of high gain cascaded DC-DC converters is presented to categorize them based on their characteristics. Two main categories are considered for such converters, which are the quadratic boost, and hybrid boost DC-DC converter. The advantages and disadvantages of such converters are discussed in detail. These high gain converters are used extensively in high power applications when high voltage conversion ratio is required.
{"title":"A Comparative Study of High-gain Cascaded DC-DC Converter Topologies","authors":"Zaid Murad, Fadel Al Anzi, L. Ben‐Brahim","doi":"10.1109/SGRE53517.2022.9774048","DOIUrl":"https://doi.org/10.1109/SGRE53517.2022.9774048","url":null,"abstract":"DC-DC boost converters are utilized to step-up the voltage level to match a certain application requirement. Although Conventional boost converter is simple and easy to be implemented, it has a low boosting capability and low power density. Hence, it cannot be used for various applications where high voltage gain is required. Recently, several researches were conducted to develop new voltage boosting techniques for high gain Converters to be used for different applications. Various approaches were developed to achieve this goal, including cascaded, multilevel, interleaved, voltage lift, voltage multiplier, and many other techniques. In this paper, a comprehensive comparative study of high gain cascaded DC-DC converters is presented to categorize them based on their characteristics. Two main categories are considered for such converters, which are the quadratic boost, and hybrid boost DC-DC converter. The advantages and disadvantages of such converters are discussed in detail. These high gain converters are used extensively in high power applications when high voltage conversion ratio is required.","PeriodicalId":64562,"journal":{"name":"智能电网与可再生能源(英文)","volume":"42 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2022-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84109474","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 : 2022-03-20DOI: 10.1109/SGRE53517.2022.9774252
H. Çimen, Recep Akkan
The continuity of electrical energy is always indispensable for us. The way to the continuity of electrical energy is through reductions in power cuts. In our country, great importance is attached to energy continuity and efforts to reduce power cuts. In this research, it is aimed to prevent unnecessary power cuts by making the correct diagnosis of the regions experiencing unnecessary power cuts, and the simulation made in the LabVIEW program aims to provide more benefits to the distribution company in the region. Delayed earth overcurrent trip setting(Io>), instant earth current trip setting(Io>>), delayed overcurrent trip setting(I>) and instant overcurrent trip setting(I>>) variables have adjusted according to a certain algorithm in relay coordination. Ultimately, with the correct implementation of selectivity in relay coordination, information have can be obtained about how much the distribution company will benefit and how much the power cuts that have negative effects on people(pecuniary, spiritual, psychological, etc.) are reduced. The values calculated in this simulation were applied to the relays in the field. Thus, it has aimed that the electricity operated devices of the people in the region, which experience many and unnecessary power cuts, are less damaged and the distribution company in the region will benefit more.
{"title":"The Effect of Relay Coordination on Cost - A Sample of a Medium Voltage Feeder","authors":"H. Çimen, Recep Akkan","doi":"10.1109/SGRE53517.2022.9774252","DOIUrl":"https://doi.org/10.1109/SGRE53517.2022.9774252","url":null,"abstract":"The continuity of electrical energy is always indispensable for us. The way to the continuity of electrical energy is through reductions in power cuts. In our country, great importance is attached to energy continuity and efforts to reduce power cuts. In this research, it is aimed to prevent unnecessary power cuts by making the correct diagnosis of the regions experiencing unnecessary power cuts, and the simulation made in the LabVIEW program aims to provide more benefits to the distribution company in the region. Delayed earth overcurrent trip setting(Io>), instant earth current trip setting(Io>>), delayed overcurrent trip setting(I>) and instant overcurrent trip setting(I>>) variables have adjusted according to a certain algorithm in relay coordination. Ultimately, with the correct implementation of selectivity in relay coordination, information have can be obtained about how much the distribution company will benefit and how much the power cuts that have negative effects on people(pecuniary, spiritual, psychological, etc.) are reduced. The values calculated in this simulation were applied to the relays in the field. Thus, it has aimed that the electricity operated devices of the people in the region, which experience many and unnecessary power cuts, are less damaged and the distribution company in the region will benefit more.","PeriodicalId":64562,"journal":{"name":"智能电网与可再生能源(英文)","volume":"4 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2022-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74535899","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 : 2022-03-20DOI: 10.1109/SGRE53517.2022.9774203
Alireza Zare, Silvanus D’silva, Muhammad F. Umar, M. Shadmand
This paper proposes a control scheme for maximum utilization of smart battery cells based on differential power processing (DPP) for application in power electronics dominated grids (PEDG). It is essential to supply uninterrupted power to critical and non-critical loads by using battery energy storage systems (BESS) in next generation power grid i.e., PEDG. The capability of BESS to provide uninterrupted power is highly dependent on the state of Charge (SOC) of individual battery cells in a battery string. Conventionally, the end of life (EOL) metric of BESS is limited by the battery with lowest SOC. Ultimately, this limitation constraints the total power injection capability of the BESS. In contrast, the proposed scheme estimates the differential power required to support the battery cells with lowest SOCs and thereby ensures a balanced discharge of the BESS. The required differential power is supplied by an auxiliary battery cell interfaced to the BESS via dual active bridge converter (DAB). Thus, the energy availability of the BESS is significantly enhanced while also minimizing the discharge stresses on the weaker battery cells while increasing the battery cell’s lifetime. The performance improvement obtained from the proposed smart battery cells is verified via several case studies. Furthermore, the superiority of the proposed approach is justified by comparing with conventional BESS control approach.
{"title":"Smart Battery Cells for Maximum Utilization in Power Electronics Dominated Grids","authors":"Alireza Zare, Silvanus D’silva, Muhammad F. Umar, M. Shadmand","doi":"10.1109/SGRE53517.2022.9774203","DOIUrl":"https://doi.org/10.1109/SGRE53517.2022.9774203","url":null,"abstract":"This paper proposes a control scheme for maximum utilization of smart battery cells based on differential power processing (DPP) for application in power electronics dominated grids (PEDG). It is essential to supply uninterrupted power to critical and non-critical loads by using battery energy storage systems (BESS) in next generation power grid i.e., PEDG. The capability of BESS to provide uninterrupted power is highly dependent on the state of Charge (SOC) of individual battery cells in a battery string. Conventionally, the end of life (EOL) metric of BESS is limited by the battery with lowest SOC. Ultimately, this limitation constraints the total power injection capability of the BESS. In contrast, the proposed scheme estimates the differential power required to support the battery cells with lowest SOCs and thereby ensures a balanced discharge of the BESS. The required differential power is supplied by an auxiliary battery cell interfaced to the BESS via dual active bridge converter (DAB). Thus, the energy availability of the BESS is significantly enhanced while also minimizing the discharge stresses on the weaker battery cells while increasing the battery cell’s lifetime. The performance improvement obtained from the proposed smart battery cells is verified via several case studies. Furthermore, the superiority of the proposed approach is justified by comparing with conventional BESS control approach.","PeriodicalId":64562,"journal":{"name":"智能电网与可再生能源(英文)","volume":"16 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2022-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91299163","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 : 2022-03-20DOI: 10.1109/SGRE53517.2022.9774039
Zakaria Belboul, B. Toual, A. Kouzou, Abderrahman Bensalem
Supplying the residential units with energy using small-scale and off-grid hybrid renewable energy systems (the so-called autonomous microgrid) with technological developments becomes more economical, reliable, and responsive to their environmental values. This study presents the application of a novel method based on a Multi-objective Grasshopper optimization Algorithm (MOGOA) to determine the optimal sizing of hybrid renewable energy sources (HRES) integrated into an autonomous microgrid. It composes of a photovoltaic system (PV), wind turbine generator (WT), battery bank, diesel generator (DG), and inverter. It aims to satisfy the energy demand of five residential units proposed in Djelfa city in Algeria. The loss of power supply probability (LPSP) and the cost of energy (COE) are defined as objective functions and the renewable factor (RF) as constrain. The objective of the suggested approach is to determine three design variables: the nominal power of photovoltaic, the number of wind turbines, and the number of autonomy days. Such that the reliability is maximized and the COE is minimized. The MATLAB software is used to program and simulate the hybrid microgrid (HMG) system. The optimization results utilizing the proposed approach provided a collection of design solutions for the HMG system, which will aid designers in selecting the best HMG system configuration. Furthermore, selecting appropriately sized HMG system components is critical to ensuring that all load needs are satisfied with the least amount of energy and the highest level of reliability.
{"title":"Optimal Sizing of Hybrid PV/Wind/Battery/Diesel Microgrid System Using A Multi-objective Grasshopper optimization Algorithm: A Case Study in Djelfa City Algeria","authors":"Zakaria Belboul, B. Toual, A. Kouzou, Abderrahman Bensalem","doi":"10.1109/SGRE53517.2022.9774039","DOIUrl":"https://doi.org/10.1109/SGRE53517.2022.9774039","url":null,"abstract":"Supplying the residential units with energy using small-scale and off-grid hybrid renewable energy systems (the so-called autonomous microgrid) with technological developments becomes more economical, reliable, and responsive to their environmental values. This study presents the application of a novel method based on a Multi-objective Grasshopper optimization Algorithm (MOGOA) to determine the optimal sizing of hybrid renewable energy sources (HRES) integrated into an autonomous microgrid. It composes of a photovoltaic system (PV), wind turbine generator (WT), battery bank, diesel generator (DG), and inverter. It aims to satisfy the energy demand of five residential units proposed in Djelfa city in Algeria. The loss of power supply probability (LPSP) and the cost of energy (COE) are defined as objective functions and the renewable factor (RF) as constrain. The objective of the suggested approach is to determine three design variables: the nominal power of photovoltaic, the number of wind turbines, and the number of autonomy days. Such that the reliability is maximized and the COE is minimized. The MATLAB software is used to program and simulate the hybrid microgrid (HMG) system. The optimization results utilizing the proposed approach provided a collection of design solutions for the HMG system, which will aid designers in selecting the best HMG system configuration. Furthermore, selecting appropriately sized HMG system components is critical to ensuring that all load needs are satisfied with the least amount of energy and the highest level of reliability.","PeriodicalId":64562,"journal":{"name":"智能电网与可再生能源(英文)","volume":"2 1","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2022-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91340750","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 : 2022-03-20DOI: 10.1109/SGRE53517.2022.9774248
Iresha Poonahela, A. Krama, S. Bayhan, H. Abu-Rub, M. Begovic, M. Shadmand
Droop control provides a decentralized method of control between distributed generators (DGs) in the primary control (PC) level of islanded AC microgrids (MGs). However, this results in deviations of the system’s voltage and frequency (V/f). Secondary control (SC) is therefore required to restore such deviations. This paper presents a simple V/f restoration technique that utilizes finite control set MPC (FCS-MPC) to achieve primary and secondary control for a MG system. It makes use of the predicted voltages and currents from the FCSMPC to estimate V/f deviation parameters to enable restoration. The simulation carried out in MATLAB/Simulink shows that the controller maintains V/f values within the standard limits and achieves accurate power sharing. Unlike existing secondary controllers, this technique does not require any linear PI controllers in the secondary control layer. Additionally it does not directly require frequency or voltage information in the secondary control layer, making the design process uncomplicated and faster.
{"title":"Predictive Voltage and Frequency Restoration for Decentralized FCS-MPC based Droop Controlled DGs in AC Microgrids","authors":"Iresha Poonahela, A. Krama, S. Bayhan, H. Abu-Rub, M. Begovic, M. Shadmand","doi":"10.1109/SGRE53517.2022.9774248","DOIUrl":"https://doi.org/10.1109/SGRE53517.2022.9774248","url":null,"abstract":"Droop control provides a decentralized method of control between distributed generators (DGs) in the primary control (PC) level of islanded AC microgrids (MGs). However, this results in deviations of the system’s voltage and frequency (V/f). Secondary control (SC) is therefore required to restore such deviations. This paper presents a simple V/f restoration technique that utilizes finite control set MPC (FCS-MPC) to achieve primary and secondary control for a MG system. It makes use of the predicted voltages and currents from the FCSMPC to estimate V/f deviation parameters to enable restoration. The simulation carried out in MATLAB/Simulink shows that the controller maintains V/f values within the standard limits and achieves accurate power sharing. Unlike existing secondary controllers, this technique does not require any linear PI controllers in the secondary control layer. Additionally it does not directly require frequency or voltage information in the secondary control layer, making the design process uncomplicated and faster.","PeriodicalId":64562,"journal":{"name":"智能电网与可再生能源(英文)","volume":"3 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2022-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87547187","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 : 2022-03-20DOI: 10.1109/SGRE53517.2022.9774122
Athira M. Mohan, N. Meskin, H. Mehrjerdi
The aim of the work is to design a model predictive control (MPC)-based auxiliary (virtual inertia (VI)) controller for the load frequency control (LFC) of a non-linear microgrid under high renewable energy source (RES) penetration and system inertia parameter variation. Microgrid systems equipped with nondispatchable RESs like wind and solar power generation units can create frequency instability in addition to the frequency deviation induced by the load changes. This resulting frequency variation is difficult to be handled by the available primary and secondary controls. Hence, in addition to the primary and secondary LFCs, an MPC-based auxiliary control strategy is proposed for the microgrid LFC system. Further, the proposed control strategy is compared with other different control schemes to confirm the efficacy of the proposed control method. In addition, the impact of denial of service (DoS) attack in microgrid LFC system with different control schemes is analyzed to understand the system’s vulnerability to DoS attack.
{"title":"MPC-Based Virtual Inertia Control of Islanded Microgrid Load Frequency Control and DoS Attack Vulnerability Analysis","authors":"Athira M. Mohan, N. Meskin, H. Mehrjerdi","doi":"10.1109/SGRE53517.2022.9774122","DOIUrl":"https://doi.org/10.1109/SGRE53517.2022.9774122","url":null,"abstract":"The aim of the work is to design a model predictive control (MPC)-based auxiliary (virtual inertia (VI)) controller for the load frequency control (LFC) of a non-linear microgrid under high renewable energy source (RES) penetration and system inertia parameter variation. Microgrid systems equipped with nondispatchable RESs like wind and solar power generation units can create frequency instability in addition to the frequency deviation induced by the load changes. This resulting frequency variation is difficult to be handled by the available primary and secondary controls. Hence, in addition to the primary and secondary LFCs, an MPC-based auxiliary control strategy is proposed for the microgrid LFC system. Further, the proposed control strategy is compared with other different control schemes to confirm the efficacy of the proposed control method. In addition, the impact of denial of service (DoS) attack in microgrid LFC system with different control schemes is analyzed to understand the system’s vulnerability to DoS attack.","PeriodicalId":64562,"journal":{"name":"智能电网与可再生能源(英文)","volume":"17 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2022-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83531619","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 : 2022-03-20DOI: 10.1109/SGRE53517.2022.9774268
A. Berbar, Alia Alkhraisha, A. Gastli, N. Meskin
Four steering wheels in vehicles are one of the most promising innovations rising in the vehicular transportation industry. This spices up the request for vehicle models that can enable four-wheel steering to experiment on different maneuvers. In this paper, we propose a Matlab/Simulink EV system model that allows the vehicle to move vertically and horizontally by independent four-wheel steering. The results show the effectiveness of using four independent wheel steering, especially when rotating within limited spaces, and also when curving at different speed ranges. The proposed model will be very useful for EV control designers when testing and validating their developed control systems.
{"title":"A Matlab/Simulink Model for Electric Vehicle with Four Independent In-Wheel Drive and Steering","authors":"A. Berbar, Alia Alkhraisha, A. Gastli, N. Meskin","doi":"10.1109/SGRE53517.2022.9774268","DOIUrl":"https://doi.org/10.1109/SGRE53517.2022.9774268","url":null,"abstract":"Four steering wheels in vehicles are one of the most promising innovations rising in the vehicular transportation industry. This spices up the request for vehicle models that can enable four-wheel steering to experiment on different maneuvers. In this paper, we propose a Matlab/Simulink EV system model that allows the vehicle to move vertically and horizontally by independent four-wheel steering. The results show the effectiveness of using four independent wheel steering, especially when rotating within limited spaces, and also when curving at different speed ranges. The proposed model will be very useful for EV control designers when testing and validating their developed control systems.","PeriodicalId":64562,"journal":{"name":"智能电网与可再生能源(英文)","volume":"109 5 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2022-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89738869","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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