Pub Date : 2022-03-04DOI: 10.1109/icgea54406.2022.9791898
Nirmal Vineeth Menon, Chan Siew Hwa
Climate change calls for a global concerted action plan. The marine sector which contributes 3% of global emissions is a key sector identified to realize targets set by 196 countries as part of their nationally determined contributions shared to the United Nations Framework Convention on Climate Change as signatories to the Paris Agreement. This paper dives into the role Hydrogen can play as an actor in maritime decarbonization. The value chain of hydrogen from production to utilization is discussed and its corresponding lifecycle emissions for liquefied hydrogen from fossil-based and renewable energy feedstock for a harbor craft use case scenario is illustrated. Our results show the impact of powertrain models on the overall emissions as well as a 66% reduction via the use of renewable energy to produce hydrogen.
{"title":"Hydrogen as a Source of Green Energy for Marine Applications","authors":"Nirmal Vineeth Menon, Chan Siew Hwa","doi":"10.1109/icgea54406.2022.9791898","DOIUrl":"https://doi.org/10.1109/icgea54406.2022.9791898","url":null,"abstract":"Climate change calls for a global concerted action plan. The marine sector which contributes 3% of global emissions is a key sector identified to realize targets set by 196 countries as part of their nationally determined contributions shared to the United Nations Framework Convention on Climate Change as signatories to the Paris Agreement. This paper dives into the role Hydrogen can play as an actor in maritime decarbonization. The value chain of hydrogen from production to utilization is discussed and its corresponding lifecycle emissions for liquefied hydrogen from fossil-based and renewable energy feedstock for a harbor craft use case scenario is illustrated. Our results show the impact of powertrain models on the overall emissions as well as a 66% reduction via the use of renewable energy to produce hydrogen.","PeriodicalId":151236,"journal":{"name":"2022 6th International Conference on Green Energy and Applications (ICGEA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131619716","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 : 2022-03-04DOI: 10.1109/icgea54406.2022.9791973
P. Vishnu Sidharthan, Yashwant Kashyap
Technological developments in Battery electric vehicles (BEV) gains the utmost attention in recent transportation scenarios. Internal Combustion Engine (ICE) vehicles are facing several issues due to their effects on the environment, fuel cost, and availability. This shifts the automotive trends towards Electric Vehicles (EV). However, BEV faces few problems on range anxiety and battery life depletion for varying driving conditions. Supercapacitor (SC) coupled with batteries is the right solution for these rising problems. This paper focuses on the energy management of a battery-SC Hybrid Source System for a Solar Electric Vehicle (SEV). SC handles sudden power variations during varying driving load demands and solar irradiance. The proposed fuzzy logic power allocation strategy achieves improved battery life, source performances, and reduced battery peak currents for different driving and environmental factors. MATLAB/Simulink simulation results verify the significance of the integration of SC by reducing the battery stresses. The proposed strategy improves the battery longevity by 43% and 20% compared to BEV and hybrid conventional strategy respectively for a Worldwide Harmonized Light-duty Vehicles Test Procedure (WLTP) driving profile. Different driving conditions are considered in this work with varying driving and environmental conditions to prove the effectiveness of the proposed strategy.
{"title":"Intelligent Power Allocation Strategy of Hybrid Source System in Solar Electric Vehicle","authors":"P. Vishnu Sidharthan, Yashwant Kashyap","doi":"10.1109/icgea54406.2022.9791973","DOIUrl":"https://doi.org/10.1109/icgea54406.2022.9791973","url":null,"abstract":"Technological developments in Battery electric vehicles (BEV) gains the utmost attention in recent transportation scenarios. Internal Combustion Engine (ICE) vehicles are facing several issues due to their effects on the environment, fuel cost, and availability. This shifts the automotive trends towards Electric Vehicles (EV). However, BEV faces few problems on range anxiety and battery life depletion for varying driving conditions. Supercapacitor (SC) coupled with batteries is the right solution for these rising problems. This paper focuses on the energy management of a battery-SC Hybrid Source System for a Solar Electric Vehicle (SEV). SC handles sudden power variations during varying driving load demands and solar irradiance. The proposed fuzzy logic power allocation strategy achieves improved battery life, source performances, and reduced battery peak currents for different driving and environmental factors. MATLAB/Simulink simulation results verify the significance of the integration of SC by reducing the battery stresses. The proposed strategy improves the battery longevity by 43% and 20% compared to BEV and hybrid conventional strategy respectively for a Worldwide Harmonized Light-duty Vehicles Test Procedure (WLTP) driving profile. Different driving conditions are considered in this work with varying driving and environmental conditions to prove the effectiveness of the proposed strategy.","PeriodicalId":151236,"journal":{"name":"2022 6th International Conference on Green Energy and Applications (ICGEA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130557046","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 : 2022-03-04DOI: 10.1109/icgea54406.2022.9792122
Terence Zhi Xiang Hong, M. Dahanayaka, Bo Liu, Adrian Wing-Keung Law, Kun Zhou
In this study, molecular dynamics simulations are performed to study the surface interactions between the zeolitic imidazolate frameworks (ZIFs)-based capacitive deionization (CDI) electrodes with seawater and Mg2+ ions. Using the same organic linkers but different metal atoms to construct the electrodes, the CDI performance of the said electrodes is tested in terms of ion rejection and water flux. The effects of metal atoms on the ZIF interactions with the seawater and Mg2+ are studied and explained using ion distribution, water velocity, and radial distribution function (RDF). The results revealed that the metal and N atoms have a strong affinity for ions, and the maximum ion rejection by the electrode achieved in the presence of Mg2+ is 97.6%. Furthermore, ZIF hydrophilicity is dependent on the metal atoms which have the strongest affinity with water molecules, and this water affinity determines the water flux. Overall, the results proved that metal atoms can influence the ZIF performance. Among the four ZIFs tested, CdIF-1 has the best performance.
{"title":"A Molecular Dynamics Study into Zeolitic Imidazolate Frameworks-Based Capacitive Deionization Electrodes for Mg2+ Removal and Seawater Desalination","authors":"Terence Zhi Xiang Hong, M. Dahanayaka, Bo Liu, Adrian Wing-Keung Law, Kun Zhou","doi":"10.1109/icgea54406.2022.9792122","DOIUrl":"https://doi.org/10.1109/icgea54406.2022.9792122","url":null,"abstract":"In this study, molecular dynamics simulations are performed to study the surface interactions between the zeolitic imidazolate frameworks (ZIFs)-based capacitive deionization (CDI) electrodes with seawater and Mg2+ ions. Using the same organic linkers but different metal atoms to construct the electrodes, the CDI performance of the said electrodes is tested in terms of ion rejection and water flux. The effects of metal atoms on the ZIF interactions with the seawater and Mg2+ are studied and explained using ion distribution, water velocity, and radial distribution function (RDF). The results revealed that the metal and N atoms have a strong affinity for ions, and the maximum ion rejection by the electrode achieved in the presence of Mg2+ is 97.6%. Furthermore, ZIF hydrophilicity is dependent on the metal atoms which have the strongest affinity with water molecules, and this water affinity determines the water flux. Overall, the results proved that metal atoms can influence the ZIF performance. Among the four ZIFs tested, CdIF-1 has the best performance.","PeriodicalId":151236,"journal":{"name":"2022 6th International Conference on Green Energy and Applications (ICGEA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128879154","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 : 2022-03-04DOI: 10.1109/icgea54406.2022.9792083
Xuan Chen
In order to achieve accurate detection of unknown malware in power system, this paper proposes a malware detection system based on Deep Belief Network (DBN). The system deconstructs the malware into an opcode sequence, extracts the feature vector with the detection value, and uses the DBN classifier to classify the malicious code. Through the experiments of classification performance, feature extraction and unlabeled data training, it is proved that DBN-based classifiers can use unlabeled data for training and have better accuracy than other classification algorithms. The DBN-based automatic encoder can effectively reduce the dimension of the feature vector significantly.
{"title":"Power System Malware Detection Based on Deep Belief Network Classifier","authors":"Xuan Chen","doi":"10.1109/icgea54406.2022.9792083","DOIUrl":"https://doi.org/10.1109/icgea54406.2022.9792083","url":null,"abstract":"In order to achieve accurate detection of unknown malware in power system, this paper proposes a malware detection system based on Deep Belief Network (DBN). The system deconstructs the malware into an opcode sequence, extracts the feature vector with the detection value, and uses the DBN classifier to classify the malicious code. Through the experiments of classification performance, feature extraction and unlabeled data training, it is proved that DBN-based classifiers can use unlabeled data for training and have better accuracy than other classification algorithms. The DBN-based automatic encoder can effectively reduce the dimension of the feature vector significantly.","PeriodicalId":151236,"journal":{"name":"2022 6th International Conference on Green Energy and Applications (ICGEA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133375641","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 : 2022-03-04DOI: 10.1109/icgea54406.2022.9791923
Jingqing Liang, Xinjian Jiang, Boyu Xie, Hongyan Yu
Low-inertia power system suffers from high Rate of Change of Frequency (ROCOF) and frequency deviation when facing a sudden imbalance in supply and demand. With the strategy of inertia emulation using Hybrid Energy Storage System (HESS) composed of Flywheel Energy Storage Systems (FESS) and Battery Energy Storage Systems (BESS), frequency regulation can be improved by rapid and long term power supply. In this paper, a coordinated frequency regulation control strategy for HESS is proposed. With the FESS adopting inertia emulation control strategy considering the flywheel’s own inertia and the grid frequency condition and BESS adopting droop control strategy, the ROCOF and frequency deviation are suppressed. Moreover, through coordinated control of the two types of energy storage systems (ESS), the State of Charge (SOC) of the FESS is maintained in an acceptable range, thus improving the ability of the FESS continuously participating in frequency regulation. The control strategy are promoted to the control of HESS array. Simulations are performed on the platform of MATLAB/Simulink.
{"title":"Flywheel-Battery Hybrid Energy Storage System Participating in Grid Frequency Regulation Based on Adaptive Inertia Emulation","authors":"Jingqing Liang, Xinjian Jiang, Boyu Xie, Hongyan Yu","doi":"10.1109/icgea54406.2022.9791923","DOIUrl":"https://doi.org/10.1109/icgea54406.2022.9791923","url":null,"abstract":"Low-inertia power system suffers from high Rate of Change of Frequency (ROCOF) and frequency deviation when facing a sudden imbalance in supply and demand. With the strategy of inertia emulation using Hybrid Energy Storage System (HESS) composed of Flywheel Energy Storage Systems (FESS) and Battery Energy Storage Systems (BESS), frequency regulation can be improved by rapid and long term power supply. In this paper, a coordinated frequency regulation control strategy for HESS is proposed. With the FESS adopting inertia emulation control strategy considering the flywheel’s own inertia and the grid frequency condition and BESS adopting droop control strategy, the ROCOF and frequency deviation are suppressed. Moreover, through coordinated control of the two types of energy storage systems (ESS), the State of Charge (SOC) of the FESS is maintained in an acceptable range, thus improving the ability of the FESS continuously participating in frequency regulation. The control strategy are promoted to the control of HESS array. Simulations are performed on the platform of MATLAB/Simulink.","PeriodicalId":151236,"journal":{"name":"2022 6th International Conference on Green Energy and Applications (ICGEA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121954410","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}
In order to solve the problem of small sample data for the reliability of protective devices in smart substations, this paper proposes a reliability evaluation method for smart substation protective devices based on Bayesian-Monte Carlo theory. The reliability evaluation method based on Bayesian-Monte Carlo theory establishes Weibull distribution as the failure distribution model by goodness of fit test method and uses Monte Carlo method to expand the data samples. The posterior probability distribution of the parameters is obtained by using the Bayesian formula, and the reliability index is further calculated. The method solves the problem that the Bayesian formula is difficult to obtain analytical solution under the Weibull distribution. This paper provides a new idea for the reliability evaluation of smart substation protective devices under small sample failure data.
{"title":"Reliability Evaluation of Protective Devices in Smart Substations Based on Bayesian Monte Carlo Method","authors":"Tianyu Zhang, Tiecheng Liu, Qiang Zhang, Zeqiao Ma, Jiangfeng Zhu, Tao Zhang","doi":"10.1109/icgea54406.2022.9791873","DOIUrl":"https://doi.org/10.1109/icgea54406.2022.9791873","url":null,"abstract":"In order to solve the problem of small sample data for the reliability of protective devices in smart substations, this paper proposes a reliability evaluation method for smart substation protective devices based on Bayesian-Monte Carlo theory. The reliability evaluation method based on Bayesian-Monte Carlo theory establishes Weibull distribution as the failure distribution model by goodness of fit test method and uses Monte Carlo method to expand the data samples. The posterior probability distribution of the parameters is obtained by using the Bayesian formula, and the reliability index is further calculated. The method solves the problem that the Bayesian formula is difficult to obtain analytical solution under the Weibull distribution. This paper provides a new idea for the reliability evaluation of smart substation protective devices under small sample failure data.","PeriodicalId":151236,"journal":{"name":"2022 6th International Conference on Green Energy and Applications (ICGEA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117164783","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 : 2022-03-04DOI: 10.1109/icgea54406.2022.9791858
Yawen Wang, W. Zhuang, Xin Wu, Wenxin Yang, Yife Wu, Yi Wu
IGCT has broad application prospects in DC power grid because of its characteristics of low on-state voltage drop, high inrush current resistance and low manufacturing cost. However, few literatures have been published on the application of IGCT in DC grid. The research on the electrical and thermal characteristics of IGCT in such application scenarios is not sufficient, and the simulation is not accurate enough. Based on the internal structure and manufacturing process, the IGCT model is built in Sentaurus TCAD and its quasi-static characteristics are calibrated. Then the model is applied to the topology of DC circuit breaker, and the correctness of the model is verified by comparing with the experiment. The current density distribution and temperature rise characteristics of IGCT during on-off are studied.
{"title":"Electrothermal Modeling of IGCT: Application to Hybrid DC Circuit Breaker","authors":"Yawen Wang, W. Zhuang, Xin Wu, Wenxin Yang, Yife Wu, Yi Wu","doi":"10.1109/icgea54406.2022.9791858","DOIUrl":"https://doi.org/10.1109/icgea54406.2022.9791858","url":null,"abstract":"IGCT has broad application prospects in DC power grid because of its characteristics of low on-state voltage drop, high inrush current resistance and low manufacturing cost. However, few literatures have been published on the application of IGCT in DC grid. The research on the electrical and thermal characteristics of IGCT in such application scenarios is not sufficient, and the simulation is not accurate enough. Based on the internal structure and manufacturing process, the IGCT model is built in Sentaurus TCAD and its quasi-static characteristics are calibrated. Then the model is applied to the topology of DC circuit breaker, and the correctness of the model is verified by comparing with the experiment. The current density distribution and temperature rise characteristics of IGCT during on-off are studied.","PeriodicalId":151236,"journal":{"name":"2022 6th International Conference on Green Energy and Applications (ICGEA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127428868","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 : 2022-03-04DOI: 10.1109/icgea54406.2022.9792047
Arif Hussain, Xia Mingchao, Muhammad Talha Ikram
Distributed power generation inside a single microgrid system (MGS) which is composed of renewable energy resources (RERs) like PV and Wind, and distributed generators (DGs) based on natural resources like gas and diesel engine is inevitable for many drawbacks. Since power generation inside a single MGS is increasing day by day with increased load demand, which is causing high penetration of distributed energy resources (DEGs). This increased penetration of DERs inside a single MGS causes 1) control and technical issues, 2) less utilization of individual DER, and 3) need to use a large number of electrical storage system (ESS) for emergency backup, especially in PV and Wind based MGS, which results in high-cost power generation. A solution to these above-mentioned issues is to have geographically closed interconnected multiple microgrid system (IMMGS). This IMMGS will make possible power-sharing among multiple microgrids (MMGs). One of the main issues of this IMMGS is to make the power-sharing process among MMGs optimal and economical. So, this study is about an IMMGS for optimal power sharing among geographically closed multiple microgrids. This paper presents an energy management system (EMS) and optimal power-sharing concept based on multi-objective particle swarm optimization (MOPSO) among multiple microgrids, including AC/DC hybrid microgrids both in islanded and grid connected modes of operation. This study will ensure 1) the optimal power-sharing among IMMGS, 2) minimization of load curtailment inside individual microgrids, 3) maximum utilization of DERs/RERs for economical power generation, and 4) minimum use of ESS for low-cost power generation. For multiple microgrids interconnection mesh topology has been selected because of the highest reliability and flexibility. The simulation and coding part has been done in MATLAB. Simulation results at the end of this paper showed that whenever any microgrid is in underload condition other microgrids with excess power generation will support that microgrid, but which microgrid is able to support will depend on the selection of MOPSO based on the three objective functions. In each case MOPSO selected the best microgrid for optimal power sharing.
{"title":"Co-ordination Among Multiple Hybrid AC/DC Microgrids for Optimal Power Sharing and Power Management Based on Multi Objective Particle Swarm Optimization","authors":"Arif Hussain, Xia Mingchao, Muhammad Talha Ikram","doi":"10.1109/icgea54406.2022.9792047","DOIUrl":"https://doi.org/10.1109/icgea54406.2022.9792047","url":null,"abstract":"Distributed power generation inside a single microgrid system (MGS) which is composed of renewable energy resources (RERs) like PV and Wind, and distributed generators (DGs) based on natural resources like gas and diesel engine is inevitable for many drawbacks. Since power generation inside a single MGS is increasing day by day with increased load demand, which is causing high penetration of distributed energy resources (DEGs). This increased penetration of DERs inside a single MGS causes 1) control and technical issues, 2) less utilization of individual DER, and 3) need to use a large number of electrical storage system (ESS) for emergency backup, especially in PV and Wind based MGS, which results in high-cost power generation. A solution to these above-mentioned issues is to have geographically closed interconnected multiple microgrid system (IMMGS). This IMMGS will make possible power-sharing among multiple microgrids (MMGs). One of the main issues of this IMMGS is to make the power-sharing process among MMGs optimal and economical. So, this study is about an IMMGS for optimal power sharing among geographically closed multiple microgrids. This paper presents an energy management system (EMS) and optimal power-sharing concept based on multi-objective particle swarm optimization (MOPSO) among multiple microgrids, including AC/DC hybrid microgrids both in islanded and grid connected modes of operation. This study will ensure 1) the optimal power-sharing among IMMGS, 2) minimization of load curtailment inside individual microgrids, 3) maximum utilization of DERs/RERs for economical power generation, and 4) minimum use of ESS for low-cost power generation. For multiple microgrids interconnection mesh topology has been selected because of the highest reliability and flexibility. The simulation and coding part has been done in MATLAB. Simulation results at the end of this paper showed that whenever any microgrid is in underload condition other microgrids with excess power generation will support that microgrid, but which microgrid is able to support will depend on the selection of MOPSO based on the three objective functions. In each case MOPSO selected the best microgrid for optimal power sharing.","PeriodicalId":151236,"journal":{"name":"2022 6th International Conference on Green Energy and Applications (ICGEA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127178858","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 : 2022-03-04DOI: 10.1109/icgea54406.2022.9792100
Fábio K. Schons, E. M. dos Santos, Chrystian D. L. da Silva, Eduardo D. Kilian, F. de Oliveira, Luana B. Severo
The electrical frequency is a parameter of great importance for the full operation of Electric Power Systems (EPS), influencing the operation of equipment and the quality of the energy supplied. This work presents an innovative method for digital frequency estimation in EPS. The estimation technique is based on the analysis of the voltage waveforms of the network, which are decomposed into their α and β components using the Clarke Transform. Future values of the α and β components are predicted through their respective different orders derivative functions. From these values, the network frequency is then estimated as a function of the angle resulting from the product between the actual Clarke complex signal and the one given by the α and β components prediction. The proposed method was tested for frequency signals with ramp, exponential and damped sinusoidal variations. The methodology was evaluated in terms of convergence time and minimum and maximum errors before and after convergence, showing that the proposed technique has great precision and robustness against the simulated situations.
{"title":"Performance Analysis of Clarke Components Prediction via Derivative-Functions of Different Orders Applied in Digital Frequency Estimation in Electric Power Systems","authors":"Fábio K. Schons, E. M. dos Santos, Chrystian D. L. da Silva, Eduardo D. Kilian, F. de Oliveira, Luana B. Severo","doi":"10.1109/icgea54406.2022.9792100","DOIUrl":"https://doi.org/10.1109/icgea54406.2022.9792100","url":null,"abstract":"The electrical frequency is a parameter of great importance for the full operation of Electric Power Systems (EPS), influencing the operation of equipment and the quality of the energy supplied. This work presents an innovative method for digital frequency estimation in EPS. The estimation technique is based on the analysis of the voltage waveforms of the network, which are decomposed into their α and β components using the Clarke Transform. Future values of the α and β components are predicted through their respective different orders derivative functions. From these values, the network frequency is then estimated as a function of the angle resulting from the product between the actual Clarke complex signal and the one given by the α and β components prediction. The proposed method was tested for frequency signals with ramp, exponential and damped sinusoidal variations. The methodology was evaluated in terms of convergence time and minimum and maximum errors before and after convergence, showing that the proposed technique has great precision and robustness against the simulated situations.","PeriodicalId":151236,"journal":{"name":"2022 6th International Conference on Green Energy and Applications (ICGEA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122356905","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 : 2022-03-04DOI: 10.1109/icgea54406.2022.9791920
Xuefeng Zhang
With the rapid development of China’s economy, the scale and quantity of highway bridges are increasing rapidly, and there are more and more extra-long bridges. The number of super-large and ultra-deep foundations is increasing, and bored piles with convenient construction and high bearing capacity are adopted. Because the stress mechanism of pile is influenced by many factors, such as pile forming technology, soil characteristics, pile material properties, pile geometric characteristics, load, etc., the mechanism of stress transfer from single pile under vertical load, which is widely used in pile foundation engineering practice, has not yet been fully understood. The factors affecting the super-long pile are more complicated, its stress mechanism and bearing deformation characteristics are still rather vague, so there is no better calculation theory and method, which can accurately and quantitatively analyze the stress and strain of super-long pile foundation and simulate the whole deformation process. In this paper, the simulation analysis of pile-soil contact damage of super-long bored pile under vertical load was carried out by large-scale finite element software ANSYS, and mastered the vertical bearing capacity of super-long bored pile.
{"title":"Research on Vertical Bearing Capacity of Super-Long Bored Pile","authors":"Xuefeng Zhang","doi":"10.1109/icgea54406.2022.9791920","DOIUrl":"https://doi.org/10.1109/icgea54406.2022.9791920","url":null,"abstract":"With the rapid development of China’s economy, the scale and quantity of highway bridges are increasing rapidly, and there are more and more extra-long bridges. The number of super-large and ultra-deep foundations is increasing, and bored piles with convenient construction and high bearing capacity are adopted. Because the stress mechanism of pile is influenced by many factors, such as pile forming technology, soil characteristics, pile material properties, pile geometric characteristics, load, etc., the mechanism of stress transfer from single pile under vertical load, which is widely used in pile foundation engineering practice, has not yet been fully understood. The factors affecting the super-long pile are more complicated, its stress mechanism and bearing deformation characteristics are still rather vague, so there is no better calculation theory and method, which can accurately and quantitatively analyze the stress and strain of super-long pile foundation and simulate the whole deformation process. In this paper, the simulation analysis of pile-soil contact damage of super-long bored pile under vertical load was carried out by large-scale finite element software ANSYS, and mastered the vertical bearing capacity of super-long bored pile.","PeriodicalId":151236,"journal":{"name":"2022 6th International Conference on Green Energy and Applications (ICGEA)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116721538","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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