Pub Date : 2023-03-11DOI: 10.1109/GlobConHT56829.2023.10087533
M. J. Akhtar, R. Behera, K. Al Hosani, Utkal Ranjan Muduli
Induction motor (IM) drives for electric vehicle (EV) application require large number of batteries connected in parallel which gives rise to circulating currents within the battery circuit. In this paper, a new H-bridge inverter-based IM drive system topology is proposed to reduce the zero-sequence voltage (ZSV) problem in parallel connected batteries. Moreover, the proposed topology inherently suffers from ZSV problem. To find the optimum phase shift angle to minimize the ZSV, an optimization approach has been adopted. The simulation results indicate that the phase shift angles obtained through optimization eliminate the problem.
{"title":"H-Bridge Inverter with Optimum Phase-Angle Shift for Electric Vehicle Propulsion Motor Drive","authors":"M. J. Akhtar, R. Behera, K. Al Hosani, Utkal Ranjan Muduli","doi":"10.1109/GlobConHT56829.2023.10087533","DOIUrl":"https://doi.org/10.1109/GlobConHT56829.2023.10087533","url":null,"abstract":"Induction motor (IM) drives for electric vehicle (EV) application require large number of batteries connected in parallel which gives rise to circulating currents within the battery circuit. In this paper, a new H-bridge inverter-based IM drive system topology is proposed to reduce the zero-sequence voltage (ZSV) problem in parallel connected batteries. Moreover, the proposed topology inherently suffers from ZSV problem. To find the optimum phase shift angle to minimize the ZSV, an optimization approach has been adopted. The simulation results indicate that the phase shift angles obtained through optimization eliminate the problem.","PeriodicalId":355921,"journal":{"name":"2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies (GlobConHT)","volume":"173 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132168916","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-11DOI: 10.1109/GlobConHT56829.2023.10087690
Priyesh Saini, S. Parida
Due to enhanced penetration of renewable energy sources (RESs) in modern power grids, the inertia of power system has become a time-varying parameter. Moreover, estimating inertia using dynamic power system models is inappropriate, since converter-dominated grids exhibit very different dynamics than the conventional one. In this paper, the model includes Distributed Generation (DG) along with islanded thermal power system and is exploited to get local frequency measurements. The disturbance in the form of change in disturbance signal is generated by a pulse generator. Long Short Term Mem-ory (LSTM) algorithm, an extension of the Recurrent Neural Network (RNN), is proposed for estimating inertia using local frequency measurements. The study achieved a testing accuracy of 99.84 percent, while evaluating the prediction model.
{"title":"Inertia Estimation of Islanded Power System With Distributed Generation Using Long Short Term Memory Algorithm","authors":"Priyesh Saini, S. Parida","doi":"10.1109/GlobConHT56829.2023.10087690","DOIUrl":"https://doi.org/10.1109/GlobConHT56829.2023.10087690","url":null,"abstract":"Due to enhanced penetration of renewable energy sources (RESs) in modern power grids, the inertia of power system has become a time-varying parameter. Moreover, estimating inertia using dynamic power system models is inappropriate, since converter-dominated grids exhibit very different dynamics than the conventional one. In this paper, the model includes Distributed Generation (DG) along with islanded thermal power system and is exploited to get local frequency measurements. The disturbance in the form of change in disturbance signal is generated by a pulse generator. Long Short Term Mem-ory (LSTM) algorithm, an extension of the Recurrent Neural Network (RNN), is proposed for estimating inertia using local frequency measurements. The study achieved a testing accuracy of 99.84 percent, while evaluating the prediction model.","PeriodicalId":355921,"journal":{"name":"2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies (GlobConHT)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123975433","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-11DOI: 10.1109/GlobConHT56829.2023.10087659
Chandrasekhar Roy, Tanmoy Bhattacharya, D. Chatterjee
Parallel operation of two-level inverters with isolated dc-links are of profound importance for STATCOM operation in high voltage applications where the importance of cost, current sharing, modularity, effective multi-level voltage generation and consequently minimised ripple content of the STATCOM injected current are prevalent. Conventional approach using phase shifted carriers satisfies the criterion of effective multilevel voltage generation but suffers from the achievable current controller bandwidth with low switching frequency operation of the inverter. The proposed control method enables switching of individual inverters at a very low frequency while the total STATCOM current injected in to the grid is controlled at reasonably high bandwidth. Hence, the current ripple is minimised considerably. Also, due to isolated dc-links, the flow of zero sequence currents among the inverters is absent thus further reducing current ratings of individual inverters. The proposed control method is verified in simulation and experiment in a laboratory prototype and the results are presented.
{"title":"Reduced Switching Frequency Operation of Parallel Connected Two-level Inverters with Isolated DC-links for STATCOM Application","authors":"Chandrasekhar Roy, Tanmoy Bhattacharya, D. Chatterjee","doi":"10.1109/GlobConHT56829.2023.10087659","DOIUrl":"https://doi.org/10.1109/GlobConHT56829.2023.10087659","url":null,"abstract":"Parallel operation of two-level inverters with isolated dc-links are of profound importance for STATCOM operation in high voltage applications where the importance of cost, current sharing, modularity, effective multi-level voltage generation and consequently minimised ripple content of the STATCOM injected current are prevalent. Conventional approach using phase shifted carriers satisfies the criterion of effective multilevel voltage generation but suffers from the achievable current controller bandwidth with low switching frequency operation of the inverter. The proposed control method enables switching of individual inverters at a very low frequency while the total STATCOM current injected in to the grid is controlled at reasonably high bandwidth. Hence, the current ripple is minimised considerably. Also, due to isolated dc-links, the flow of zero sequence currents among the inverters is absent thus further reducing current ratings of individual inverters. The proposed control method is verified in simulation and experiment in a laboratory prototype and the results are presented.","PeriodicalId":355921,"journal":{"name":"2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies (GlobConHT)","volume":"180 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121265709","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-11DOI: 10.1109/GlobConHT56829.2023.10087830
Kumar V. Tejan, B. Rajpurohit
-This paper presents fault diagnosis scheme for inverter switches based on open-circuit faults in PMSM drive using current control prediction (CCP) method. The scheme depends on fault recognition. The predictive control is used for closed loop operation as well as it can be utilized for fault detection, measuring the impact of OCFs on signature current analysis with the help of cost function. Besides monitoring PMSM drive characteristics, it can be used to differentiate several types of faults in the drive system. Based on mathematical analysis of fault in different cases, various categories of faults can be recognized. The significant advantage of the proposed control method is that it excludes PI controller application in current, generally utilized in Field Oriented Control (FOC). The proposed method is validated via MATLAB/Simulink and verified by using small-scale experimental setup DSPACE DS1104 real-time controller at a frequency of 10 kHz.
{"title":"Open-Circuit Faults Diagnosis in Inverter Switches using Current Control Prediction Method for PMSM Drives","authors":"Kumar V. Tejan, B. Rajpurohit","doi":"10.1109/GlobConHT56829.2023.10087830","DOIUrl":"https://doi.org/10.1109/GlobConHT56829.2023.10087830","url":null,"abstract":"-This paper presents fault diagnosis scheme for inverter switches based on open-circuit faults in PMSM drive using current control prediction (CCP) method. The scheme depends on fault recognition. The predictive control is used for closed loop operation as well as it can be utilized for fault detection, measuring the impact of OCFs on signature current analysis with the help of cost function. Besides monitoring PMSM drive characteristics, it can be used to differentiate several types of faults in the drive system. Based on mathematical analysis of fault in different cases, various categories of faults can be recognized. The significant advantage of the proposed control method is that it excludes PI controller application in current, generally utilized in Field Oriented Control (FOC). The proposed method is validated via MATLAB/Simulink and verified by using small-scale experimental setup DSPACE DS1104 real-time controller at a frequency of 10 kHz.","PeriodicalId":355921,"journal":{"name":"2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies (GlobConHT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128677894","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-11DOI: 10.1109/GlobConHT56829.2023.10087463
M. Mahdavi, K. Schmitt, F. Jurado
Energy losses of distribution systems are affected by operational costs, where these losses are more than transmission system ones. Distributed generation (DG) placement in reconfigurable power networks is an efficient way to minimize energy losses. Due to the great effect of renewable energy sources on environmental sustainability, DG penetration in distribution systems is increasing. Demand fluctuations play an essential role in determining the amount of losses and optimal generation of DG units in reconfigurable distribution systems. However, load variability consideration in the DG allocation and reconfiguration problem raises the burden and computational time considerably. Consequently, the current paper poses an effective reconfiguration and DG allocation approach for loss reduction in the presence of variable loads. Numerical results evaluation shows the excellent performance of the proposed approach for the optimal placement of DG units in reconfigurable distribution systems with time-varying loads.
{"title":"Optimal Allocation of Renewable Energy Sources in Reconfigurable Distribution Systems Including Variable Electricity Consumption","authors":"M. Mahdavi, K. Schmitt, F. Jurado","doi":"10.1109/GlobConHT56829.2023.10087463","DOIUrl":"https://doi.org/10.1109/GlobConHT56829.2023.10087463","url":null,"abstract":"Energy losses of distribution systems are affected by operational costs, where these losses are more than transmission system ones. Distributed generation (DG) placement in reconfigurable power networks is an efficient way to minimize energy losses. Due to the great effect of renewable energy sources on environmental sustainability, DG penetration in distribution systems is increasing. Demand fluctuations play an essential role in determining the amount of losses and optimal generation of DG units in reconfigurable distribution systems. However, load variability consideration in the DG allocation and reconfiguration problem raises the burden and computational time considerably. Consequently, the current paper poses an effective reconfiguration and DG allocation approach for loss reduction in the presence of variable loads. Numerical results evaluation shows the excellent performance of the proposed approach for the optimal placement of DG units in reconfigurable distribution systems with time-varying loads.","PeriodicalId":355921,"journal":{"name":"2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies (GlobConHT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129251787","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-11DOI: 10.1109/GlobConHT56829.2023.10087889
P. Misra, S. Rathor, D. Saxena, Diksha Jain
Integration of more and more distributed energy resources (DER) into the microgrid raises the concern of power quality, reliability, and economic operations. Plug-in electric vehicles (PEV s) is a cleaner technology that provides flexibility in the distribution network; however, uncoordinated operation may raise the concern of voltage imbalance. The issue of voltage imbalance is less focused in ongoing research works since most of the PEV chargers connected in residential and commercial places are single-phase or two-phase, which may alleviate the problem of voltage imbalance and result in an increase in neutral current and network losses. In this paper, the phase balancing problem is solved by mixed-integer convex quadratic programming (MICQP) approach by linear three-phase load flow method and compared with the backward forward sweep (BFS) method and tested on modified IEEE 33 bus radial distribution system.
{"title":"Coordination of Plug-in Electric Vehicles to Improve Performance and Power Quality","authors":"P. Misra, S. Rathor, D. Saxena, Diksha Jain","doi":"10.1109/GlobConHT56829.2023.10087889","DOIUrl":"https://doi.org/10.1109/GlobConHT56829.2023.10087889","url":null,"abstract":"Integration of more and more distributed energy resources (DER) into the microgrid raises the concern of power quality, reliability, and economic operations. Plug-in electric vehicles (PEV s) is a cleaner technology that provides flexibility in the distribution network; however, uncoordinated operation may raise the concern of voltage imbalance. The issue of voltage imbalance is less focused in ongoing research works since most of the PEV chargers connected in residential and commercial places are single-phase or two-phase, which may alleviate the problem of voltage imbalance and result in an increase in neutral current and network losses. In this paper, the phase balancing problem is solved by mixed-integer convex quadratic programming (MICQP) approach by linear three-phase load flow method and compared with the backward forward sweep (BFS) method and tested on modified IEEE 33 bus radial distribution system.","PeriodicalId":355921,"journal":{"name":"2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies (GlobConHT)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115778544","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-11DOI: 10.1109/GlobConHT56829.2023.10087452
Purusharth Semwal, V. Narayanan, Bhim Singh, B. Panigrahi
In order to reduce water pollution, it is an effective method to interface the non-conventional energy sources in the marine sector. This paper assesses the performance of the emission-free marine microgrid under different operational modes. In the MATLAB-Simulink platform, an emission-free ferry with a battery energy storage (BES), solar photovoltaic system (SPV), propulsion motors and service loads is developed and operated under different sea conditions. Due to the stochastic nature of the SPV array, the ferry employs a BES. A power management system (PMS) is essential in the coordination between the power generation sources and loads. The stability of the common DC bus and the propulsion motor's speed regulation is ensured with the help of Black Widow Optimization (BWO). The optimized DC bus ensures active power balancing, harmonic reduction and reduced transients under dynamic conditions. The dual second-order generalized integrator and a modified quasi type-1 phase-locked loop (DSOGI-MQT1-PLL) are employed for the cold ironing mode. It helps in synchronizing the emission-free ferry to the shore power system and ensures that the shore power system supplies distorted-free current to the ferry.
{"title":"A Black Widow Optimization and Power Management Strategy for Emission-Free Marine Microgrid","authors":"Purusharth Semwal, V. Narayanan, Bhim Singh, B. Panigrahi","doi":"10.1109/GlobConHT56829.2023.10087452","DOIUrl":"https://doi.org/10.1109/GlobConHT56829.2023.10087452","url":null,"abstract":"In order to reduce water pollution, it is an effective method to interface the non-conventional energy sources in the marine sector. This paper assesses the performance of the emission-free marine microgrid under different operational modes. In the MATLAB-Simulink platform, an emission-free ferry with a battery energy storage (BES), solar photovoltaic system (SPV), propulsion motors and service loads is developed and operated under different sea conditions. Due to the stochastic nature of the SPV array, the ferry employs a BES. A power management system (PMS) is essential in the coordination between the power generation sources and loads. The stability of the common DC bus and the propulsion motor's speed regulation is ensured with the help of Black Widow Optimization (BWO). The optimized DC bus ensures active power balancing, harmonic reduction and reduced transients under dynamic conditions. The dual second-order generalized integrator and a modified quasi type-1 phase-locked loop (DSOGI-MQT1-PLL) are employed for the cold ironing mode. It helps in synchronizing the emission-free ferry to the shore power system and ensures that the shore power system supplies distorted-free current to the ferry.","PeriodicalId":355921,"journal":{"name":"2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies (GlobConHT)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127170034","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-11DOI: 10.1109/GlobConHT56829.2023.10087384
Jaemin Park, Taehyeon Kwon, Bongseok Kim, Yu-Che Hwang, M. Sim
The increasing utilization of renewable energy sources, such as photovoltaic (PV) power, has led to a growing interest in managing surplus PV power in order to generate additional profits. In particular, the use of energy storage systems (ESS) for handling surplus PV power has gained significant attention due to their ability to control the unstable and erratic nature of solar power systems. This paper presents an optimal ESS control scheme based on multi-agent reinforcement learning (MARL) that maximizes grid benefits. The proposed method is evaluated in a grid environment that includes a central ESS, multiple PV power prosumers, and consumers. The results of our empirical study demonstrate that the proposed method generates an additional profit of 18% to 36% compared to the current method used by Korean power providers for calculating prosumer profits. Furthermore, we discovered was found that as the proportion of prosumers in the total population increases, energy efficiency also increases proportionally.
{"title":"Multi-Agent Reinforcement Learning Based Optimal PV-ESS Control In Grid","authors":"Jaemin Park, Taehyeon Kwon, Bongseok Kim, Yu-Che Hwang, M. Sim","doi":"10.1109/GlobConHT56829.2023.10087384","DOIUrl":"https://doi.org/10.1109/GlobConHT56829.2023.10087384","url":null,"abstract":"The increasing utilization of renewable energy sources, such as photovoltaic (PV) power, has led to a growing interest in managing surplus PV power in order to generate additional profits. In particular, the use of energy storage systems (ESS) for handling surplus PV power has gained significant attention due to their ability to control the unstable and erratic nature of solar power systems. This paper presents an optimal ESS control scheme based on multi-agent reinforcement learning (MARL) that maximizes grid benefits. The proposed method is evaluated in a grid environment that includes a central ESS, multiple PV power prosumers, and consumers. The results of our empirical study demonstrate that the proposed method generates an additional profit of 18% to 36% compared to the current method used by Korean power providers for calculating prosumer profits. Furthermore, we discovered was found that as the proportion of prosumers in the total population increases, energy efficiency also increases proportionally.","PeriodicalId":355921,"journal":{"name":"2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies (GlobConHT)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128186038","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-11DOI: 10.1109/GlobConHT56829.2023.10087514
Jyoti Maurya, R. K. Saket
Performance comparison analysis of two-stage and single-stage induction motor (IM) drive fed by voltage source inverter (VSI) for solar pump irrigation system has been done for the economic consideration of the system in the agriculture field. Both stages have common components of the photovoltaic (PV) system and VSI-fed IM drives with pump load. In both configurations, the incremental conductance (INC) maximum power point tracking technique (MPPTT) has been accustomed to extract for PV array's maximum power. The DC/DC boost converter is featured in a two-stage system and is used to enhance the level of voltage for the VSI's input and the system's load requirement. In single-stage, the PV array is tied directly to the VSI and the whole drive of the IM with the pump. The system uses direct torque control (DTC) strategy for the speed regulation of the IM drive, preserving both the contours of PV array fed IM drive with pump load. To model and simulate the system, MATLAB/Simulink software is employed.
{"title":"Performance Analysis of Single-Stage and Two-Stage VSI-fed IM Drive for Solar Pump Irrigation Systems","authors":"Jyoti Maurya, R. K. Saket","doi":"10.1109/GlobConHT56829.2023.10087514","DOIUrl":"https://doi.org/10.1109/GlobConHT56829.2023.10087514","url":null,"abstract":"Performance comparison analysis of two-stage and single-stage induction motor (IM) drive fed by voltage source inverter (VSI) for solar pump irrigation system has been done for the economic consideration of the system in the agriculture field. Both stages have common components of the photovoltaic (PV) system and VSI-fed IM drives with pump load. In both configurations, the incremental conductance (INC) maximum power point tracking technique (MPPTT) has been accustomed to extract for PV array's maximum power. The DC/DC boost converter is featured in a two-stage system and is used to enhance the level of voltage for the VSI's input and the system's load requirement. In single-stage, the PV array is tied directly to the VSI and the whole drive of the IM with the pump. The system uses direct torque control (DTC) strategy for the speed regulation of the IM drive, preserving both the contours of PV array fed IM drive with pump load. To model and simulate the system, MATLAB/Simulink software is employed.","PeriodicalId":355921,"journal":{"name":"2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies (GlobConHT)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125132996","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-03-11DOI: 10.1109/GlobConHT56829.2023.10087447
Ibrahim M. Alotaibi, M. A. Abido
The proportion of renewable energy resources in modern power grids is expected to rise and displace fossil-based generating units, resulting in shallower inertia levels. Power grids lacking sufficient inertia are susceptible to instability issues. To alleviate such issues, virtual inertia synthesis has been proposed to enhance the dynamic performance of weak grids. In that regard, this paper investigates the impact of inertia reduction on the stability of the islanded microgrid using model-based layouts and real-time simulation. Elevated small-signal models are used to examine the evolution of the dynamics of the microgrid components. A virtual inertia control is also integrated to regulate the frequency and minimize the Rate of Change of Frequency (ROCOF) in an islanded microgrid. The present study is validated on a realistic benchmark constructed in the Real-Time Digital Simulator (RTDS). The model-based layouts are also verified using non-real-time simulation in MATLAB. The conducted simulation shows the ability of the proposed control design to regulate the frequency and minimize the ROCOF during system disturbances in both simulation environments.
{"title":"Real-Time Simulation, Modelling, and Control of Low Inertial Microgrids","authors":"Ibrahim M. Alotaibi, M. A. Abido","doi":"10.1109/GlobConHT56829.2023.10087447","DOIUrl":"https://doi.org/10.1109/GlobConHT56829.2023.10087447","url":null,"abstract":"The proportion of renewable energy resources in modern power grids is expected to rise and displace fossil-based generating units, resulting in shallower inertia levels. Power grids lacking sufficient inertia are susceptible to instability issues. To alleviate such issues, virtual inertia synthesis has been proposed to enhance the dynamic performance of weak grids. In that regard, this paper investigates the impact of inertia reduction on the stability of the islanded microgrid using model-based layouts and real-time simulation. Elevated small-signal models are used to examine the evolution of the dynamics of the microgrid components. A virtual inertia control is also integrated to regulate the frequency and minimize the Rate of Change of Frequency (ROCOF) in an islanded microgrid. The present study is validated on a realistic benchmark constructed in the Real-Time Digital Simulator (RTDS). The model-based layouts are also verified using non-real-time simulation in MATLAB. The conducted simulation shows the ability of the proposed control design to regulate the frequency and minimize the ROCOF during system disturbances in both simulation environments.","PeriodicalId":355921,"journal":{"name":"2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies (GlobConHT)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123458042","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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