Pub Date : 2022-08-30DOI: 10.1109/UPEC55022.2022.9917961
B. Ahmadi, N. B. Arias, Gerwin Hoogsteen, J. Hurink
This paper proposes a multi-objective optimization technique for scheduling the charging of electric vehicles (EVs) in electrical distribution systems (DSs). A multi-objective advanced grey wolf optimization algorithm (MOAGWO) is developed to find the Pareto optimal solutions that minimize the DS’s operational costs, energy losses costs, voltage violations, and the energy not supplied to EV users using several scenarios. A 449-node system with 63% penetration of EVs is used to demonstrate the efficiency of the proposed method. The quality of the non-dominated optimal solutions found by MOAGWO are validated via a comparison analysis with other well-known methods such as the multi-objective grey wolf optimizer (MOGWO) and the multi-objective particle swarm optimization (MOPSO) algorithm, based on domination rate, spacing index, hypervolume index, and computational cost measurements. The Pareto solutions indicate that the smart charging coordination found by MOAGWO makes the techno-economic operation of the DS possible while satisfying energy-based goals of the EV users.
{"title":"Multi-objective Advanced Grey Wolf optimization Framework for Smart Charging Scheduling of EVs in Distribution Grids","authors":"B. Ahmadi, N. B. Arias, Gerwin Hoogsteen, J. Hurink","doi":"10.1109/UPEC55022.2022.9917961","DOIUrl":"https://doi.org/10.1109/UPEC55022.2022.9917961","url":null,"abstract":"This paper proposes a multi-objective optimization technique for scheduling the charging of electric vehicles (EVs) in electrical distribution systems (DSs). A multi-objective advanced grey wolf optimization algorithm (MOAGWO) is developed to find the Pareto optimal solutions that minimize the DS’s operational costs, energy losses costs, voltage violations, and the energy not supplied to EV users using several scenarios. A 449-node system with 63% penetration of EVs is used to demonstrate the efficiency of the proposed method. The quality of the non-dominated optimal solutions found by MOAGWO are validated via a comparison analysis with other well-known methods such as the multi-objective grey wolf optimizer (MOGWO) and the multi-objective particle swarm optimization (MOPSO) algorithm, based on domination rate, spacing index, hypervolume index, and computational cost measurements. The Pareto solutions indicate that the smart charging coordination found by MOAGWO makes the techno-economic operation of the DS possible while satisfying energy-based goals of the EV users.","PeriodicalId":371561,"journal":{"name":"2022 57th International Universities Power Engineering Conference (UPEC)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131534229","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 : 2022-08-30DOI: 10.1109/UPEC55022.2022.9917788
Saad Alqahtani, Abdullah Shaher, Ali Garada, L. Cipcigan
The transition toward a zero-carbon society is the driving force for pushing traditional power systems to dramatically increase the share of Renewable Energy Sources (RESs). The high penetration of RESs in modern power systems would lead to a reduction in system inertia as they are indirectly connected to the grid using power converters. This reduction in the rotational inertia associated with synchronous generation might result in deteriorated frequency response following a power disturbance. This paper investigates the impact of high penetration of inverter-fed generation technologies on the Kingdom of Saudi Arabia (KSA) grid. The impact of RESs has been studied through the simulation of four case studies of the future KSA power system using MATLAB/Simulink simulation software. The model was tested after the integration of various penetration levels of RESs into the grid. The simulation results showed that high penetration of RESs would lead to a severe effect on the frequency response. The importance of Battery Energy Storage Systems (BESSs) for compensating the reduction in the system inertia has been addressed. The results showed the aggregated BESSs effectiveness for improving the stability of the system frequency.
{"title":"Frequency Stability in Renewable-Rich Modern Power Systems, Saudi Grid Case Study","authors":"Saad Alqahtani, Abdullah Shaher, Ali Garada, L. Cipcigan","doi":"10.1109/UPEC55022.2022.9917788","DOIUrl":"https://doi.org/10.1109/UPEC55022.2022.9917788","url":null,"abstract":"The transition toward a zero-carbon society is the driving force for pushing traditional power systems to dramatically increase the share of Renewable Energy Sources (RESs). The high penetration of RESs in modern power systems would lead to a reduction in system inertia as they are indirectly connected to the grid using power converters. This reduction in the rotational inertia associated with synchronous generation might result in deteriorated frequency response following a power disturbance. This paper investigates the impact of high penetration of inverter-fed generation technologies on the Kingdom of Saudi Arabia (KSA) grid. The impact of RESs has been studied through the simulation of four case studies of the future KSA power system using MATLAB/Simulink simulation software. The model was tested after the integration of various penetration levels of RESs into the grid. The simulation results showed that high penetration of RESs would lead to a severe effect on the frequency response. The importance of Battery Energy Storage Systems (BESSs) for compensating the reduction in the system inertia has been addressed. The results showed the aggregated BESSs effectiveness for improving the stability of the system frequency.","PeriodicalId":371561,"journal":{"name":"2022 57th International Universities Power Engineering Conference (UPEC)","volume":"119 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132624116","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 : 2022-08-30DOI: 10.1109/UPEC55022.2022.9917963
A. H. Dabashi, D. Qiu, G. Taylor, Xin Zhang
Electrical power systems have evolved into cyber-physical power systems (CPPS). The increasing interdependence between electrical power systems and cyber systems has introduced new sources of failure as well as causing additional security concerns. Therefore, it is vital to study the increasing level of interdependency using a whole system approach. Whilst power systems and cyber systems have well-matured models and simulation tools in their own regard, adequate whole system analysis tools are yet to be established. After evaluating the whole system challenges of CPPS modelling, this paper introduces a novel index for determining cyber node importance in a graph-based CPPS model. The proposed cyber node importance index (CNII) considers cascading failure, betweenness centrality and the time delay of the shortest paths, which provides a more accurate representation of power systems. To demonstrate the applicability of this approach, the UK’s British Telecom 21st Century Network (BT 21CN) was linked with the GB Transmission System Reduced Model (GB TSRM). Experimental results show the improved accuracy and utility of this method as well as the applicability of analysing cyber contingencies in graph-based CPPS models.
{"title":"Determining Node Importance in Graph-Based Modelling of Cyber-Physical Power Systems","authors":"A. H. Dabashi, D. Qiu, G. Taylor, Xin Zhang","doi":"10.1109/UPEC55022.2022.9917963","DOIUrl":"https://doi.org/10.1109/UPEC55022.2022.9917963","url":null,"abstract":"Electrical power systems have evolved into cyber-physical power systems (CPPS). The increasing interdependence between electrical power systems and cyber systems has introduced new sources of failure as well as causing additional security concerns. Therefore, it is vital to study the increasing level of interdependency using a whole system approach. Whilst power systems and cyber systems have well-matured models and simulation tools in their own regard, adequate whole system analysis tools are yet to be established. After evaluating the whole system challenges of CPPS modelling, this paper introduces a novel index for determining cyber node importance in a graph-based CPPS model. The proposed cyber node importance index (CNII) considers cascading failure, betweenness centrality and the time delay of the shortest paths, which provides a more accurate representation of power systems. To demonstrate the applicability of this approach, the UK’s British Telecom 21st Century Network (BT 21CN) was linked with the GB Transmission System Reduced Model (GB TSRM). Experimental results show the improved accuracy and utility of this method as well as the applicability of analysing cyber contingencies in graph-based CPPS models.","PeriodicalId":371561,"journal":{"name":"2022 57th International Universities Power Engineering Conference (UPEC)","volume":"571 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132393087","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 : 2022-08-30DOI: 10.1109/UPEC55022.2022.9917853
Alia J. Mohammed, Sadeq D. Al-Majidi, Mohammed Kh. Al-Nussairi, M. Abbod, H. Al-Raweshidy
A Load Frequency Controller (LFC) is considered an essential part in a single-area Power System Network (PSN) to adjust its frequency level and enhance the output power when the electrical demand is changed rapidly. In this paper, the LFC based on an Artificial Neural Network (ANN) technique is designed for the single-area PSN. The training data of the ANN model are collected from a proposed Simulink test. Then, a MATLAB/Simulink model of the single-area PSN is developed to assess this proposal. The results show that the operation work of the proposed ANN controller is better than a Proportional-Integral-Derivative PID controller under the different states of step-change loads in the term of transit state and deviation issues.
{"title":"Design of a Load Frequency Controller based on Artificial Neural Network for Single-Area Power System","authors":"Alia J. Mohammed, Sadeq D. Al-Majidi, Mohammed Kh. Al-Nussairi, M. Abbod, H. Al-Raweshidy","doi":"10.1109/UPEC55022.2022.9917853","DOIUrl":"https://doi.org/10.1109/UPEC55022.2022.9917853","url":null,"abstract":"A Load Frequency Controller (LFC) is considered an essential part in a single-area Power System Network (PSN) to adjust its frequency level and enhance the output power when the electrical demand is changed rapidly. In this paper, the LFC based on an Artificial Neural Network (ANN) technique is designed for the single-area PSN. The training data of the ANN model are collected from a proposed Simulink test. Then, a MATLAB/Simulink model of the single-area PSN is developed to assess this proposal. The results show that the operation work of the proposed ANN controller is better than a Proportional-Integral-Derivative PID controller under the different states of step-change loads in the term of transit state and deviation issues.","PeriodicalId":371561,"journal":{"name":"2022 57th International Universities Power Engineering Conference (UPEC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134110032","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 : 2022-08-30DOI: 10.1109/UPEC55022.2022.9917671
Padoan Federico, Manu A. Haddad, M. Albano, S. Robson, Guo Dongsheng, Christopher Land, Neil Loftus
The Earthwire is an important device to shield the transmission line from lightnings and to exchange information among the substations. OPGWs (Optical ground wires) are widely used for these purposes. Technical operations on the line impose a temporary implementation of a second earthwire between the two circuits.In this paper a study is undertook to understand the possible variations in the electric and magnetic field distribution and the induced currents due to the installation in a trial site of the second OPGW. In order to ensure reliabilty to the simulation, a comparison of three different calculation techniques has been conducted, and a boundary element Method has been then implemented in COMSOL Multiphysics to study a 3D configuration of the line and quantity the electric field around the pylons.To estimate the induced currents, the software ATP-EMTP has been used simulating the conditions with and without the second earthwire.Good agreement has been reached between the different numerical techniques for the field calculation, and a high value of induced current has been found on the ground wires in the case of the implementation of a second one.A measurement system has been built in Cardiff University to measure in June and August 2022 the induced current values and validate the numerical models.
{"title":"Implementation of Second Earthwire on L6 400 kV Transmission Line","authors":"Padoan Federico, Manu A. Haddad, M. Albano, S. Robson, Guo Dongsheng, Christopher Land, Neil Loftus","doi":"10.1109/UPEC55022.2022.9917671","DOIUrl":"https://doi.org/10.1109/UPEC55022.2022.9917671","url":null,"abstract":"The Earthwire is an important device to shield the transmission line from lightnings and to exchange information among the substations. OPGWs (Optical ground wires) are widely used for these purposes. Technical operations on the line impose a temporary implementation of a second earthwire between the two circuits.In this paper a study is undertook to understand the possible variations in the electric and magnetic field distribution and the induced currents due to the installation in a trial site of the second OPGW. In order to ensure reliabilty to the simulation, a comparison of three different calculation techniques has been conducted, and a boundary element Method has been then implemented in COMSOL Multiphysics to study a 3D configuration of the line and quantity the electric field around the pylons.To estimate the induced currents, the software ATP-EMTP has been used simulating the conditions with and without the second earthwire.Good agreement has been reached between the different numerical techniques for the field calculation, and a high value of induced current has been found on the ground wires in the case of the implementation of a second one.A measurement system has been built in Cardiff University to measure in June and August 2022 the induced current values and validate the numerical models.","PeriodicalId":371561,"journal":{"name":"2022 57th International Universities Power Engineering Conference (UPEC)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125028553","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 : 2022-08-30DOI: 10.1109/UPEC55022.2022.9917912
N. Pfeifer, M. Kizilcay, P. Malicki
With the current power grid reinforcement, cable sections are increasingly required due to the densely populated regions and the acceptance of residents. This results in a mixed transmission line with overhead and cable sections. Due to the higher capacitance of cables, there is a larger charging current which can be reduced by shunt compensations. This complete setup with overhead lines, cable sections and shunt compensations are analyzed on a 100-km long 400-kV transmission line in order to gain general knowledge about the operation of a mixed line. The studies have been carried out using EMTP-ATP for certain steady-state cases and EMTP-RV for transients.
{"title":"Characteristics of a mixed 100-km EHV transmission line with shunt compensation for various topologies","authors":"N. Pfeifer, M. Kizilcay, P. Malicki","doi":"10.1109/UPEC55022.2022.9917912","DOIUrl":"https://doi.org/10.1109/UPEC55022.2022.9917912","url":null,"abstract":"With the current power grid reinforcement, cable sections are increasingly required due to the densely populated regions and the acceptance of residents. This results in a mixed transmission line with overhead and cable sections. Due to the higher capacitance of cables, there is a larger charging current which can be reduced by shunt compensations. This complete setup with overhead lines, cable sections and shunt compensations are analyzed on a 100-km long 400-kV transmission line in order to gain general knowledge about the operation of a mixed line. The studies have been carried out using EMTP-ATP for certain steady-state cases and EMTP-RV for transients.","PeriodicalId":371561,"journal":{"name":"2022 57th International Universities Power Engineering Conference (UPEC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131050052","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 : 2022-08-30DOI: 10.1109/UPEC55022.2022.9917789
Amirreza Jafari, H. Ergun, D. Hertem
Integrating the information and communications technology (ICT) infrastructures with the physical layer of the electrical grid puts the power system at the risk of a wide range of cyber intrusions. Cyber-physical power systems (CPPS) require effective and applicable prevention, detection, and mitigation strategies to defend the system against malicious attacks. In this process, precise attack detection is one of the vital phases. This paper designs a novel voting-based detection tool to identify cyber intrusions in the system. In the considered cyber-attack, the attacker attempts to inject a wide range of false data into the phasor measurement units (PMU) to simulate false short circuit conditions in the system. The proposed detection strategy utilizes several machine learning (ML) algorithms like ensemble learning, discriminant analysis, naive bayes, feedforward neural network (FNN), recurrent neural network (RNN), k-nearest neighbors (KNN) classification, support vector machine (SVM), and decision tree. The voting-based technique calculates the average output based on the performance of the detectors and can recognize FDI attacks from real short circuit faults. Training features are selected optimally among several mechanical and electrical features of the system with maximum relevancy and minimum redundancy (MRMR) method. The simulations on the IEEE 39 bus test system illustrate the performance of the proposed detection tool for each type of short circuit fault.
{"title":"A Voting-Based Machine Learning Strategy to Detect False Data Injection Attack in Cyber-Physical Power Systems","authors":"Amirreza Jafari, H. Ergun, D. Hertem","doi":"10.1109/UPEC55022.2022.9917789","DOIUrl":"https://doi.org/10.1109/UPEC55022.2022.9917789","url":null,"abstract":"Integrating the information and communications technology (ICT) infrastructures with the physical layer of the electrical grid puts the power system at the risk of a wide range of cyber intrusions. Cyber-physical power systems (CPPS) require effective and applicable prevention, detection, and mitigation strategies to defend the system against malicious attacks. In this process, precise attack detection is one of the vital phases. This paper designs a novel voting-based detection tool to identify cyber intrusions in the system. In the considered cyber-attack, the attacker attempts to inject a wide range of false data into the phasor measurement units (PMU) to simulate false short circuit conditions in the system. The proposed detection strategy utilizes several machine learning (ML) algorithms like ensemble learning, discriminant analysis, naive bayes, feedforward neural network (FNN), recurrent neural network (RNN), k-nearest neighbors (KNN) classification, support vector machine (SVM), and decision tree. The voting-based technique calculates the average output based on the performance of the detectors and can recognize FDI attacks from real short circuit faults. Training features are selected optimally among several mechanical and electrical features of the system with maximum relevancy and minimum redundancy (MRMR) method. The simulations on the IEEE 39 bus test system illustrate the performance of the proposed detection tool for each type of short circuit fault.","PeriodicalId":371561,"journal":{"name":"2022 57th International Universities Power Engineering Conference (UPEC)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129134960","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 : 2022-08-30DOI: 10.1109/UPEC55022.2022.9917970
Bozheng Li, Xin Zhang, Zekun Guo, Y. Yuan
With the increasing demand for clean energy and rapid development of battery technology, there has been a notable trend in developing aviation electrification, particularly for small or regional electric aircraft (EA). Nevertheless, large penetration of EA with high charging power could also influence the stable operation of the upstream grid and even cause severe problems, particularly causing voltage-drop issue. In this paper, the impact on voltage deviation of the Great Britain (GB) electrical power system with the electrification of commercial aviation in the UK is highlighted and analysed. A reduced model of the GB transmission system developed in DigSILENT PowerFactory with 36 zones is modified by incorporating the load curves of the EA charging demand into the model. Quasi-Dynamic simulation is used to obtain 24-hour voltage profiles of each zone. Meanwhile, the Granger causality test is utilised to analyse the voltage profiles obtained from the Quasi-Dynamic simulation and determine the causal effects of the voltage variation between different areas of GB. The results reveal the significant impact of EA charging on the system. When the EA charging demand reached nearly IOOOOMW at20:00, the system voltage dropped to 0.826 p.u. The locations of the most influential zones for voltage variation in the system are also illustrated and analysed in this paper.
{"title":"Study on the Impact of Aviation Electrification on Voltage Deviation of the GB Transmission System","authors":"Bozheng Li, Xin Zhang, Zekun Guo, Y. Yuan","doi":"10.1109/UPEC55022.2022.9917970","DOIUrl":"https://doi.org/10.1109/UPEC55022.2022.9917970","url":null,"abstract":"With the increasing demand for clean energy and rapid development of battery technology, there has been a notable trend in developing aviation electrification, particularly for small or regional electric aircraft (EA). Nevertheless, large penetration of EA with high charging power could also influence the stable operation of the upstream grid and even cause severe problems, particularly causing voltage-drop issue. In this paper, the impact on voltage deviation of the Great Britain (GB) electrical power system with the electrification of commercial aviation in the UK is highlighted and analysed. A reduced model of the GB transmission system developed in DigSILENT PowerFactory with 36 zones is modified by incorporating the load curves of the EA charging demand into the model. Quasi-Dynamic simulation is used to obtain 24-hour voltage profiles of each zone. Meanwhile, the Granger causality test is utilised to analyse the voltage profiles obtained from the Quasi-Dynamic simulation and determine the causal effects of the voltage variation between different areas of GB. The results reveal the significant impact of EA charging on the system. When the EA charging demand reached nearly IOOOOMW at20:00, the system voltage dropped to 0.826 p.u. The locations of the most influential zones for voltage variation in the system are also illustrated and analysed in this paper.","PeriodicalId":371561,"journal":{"name":"2022 57th International Universities Power Engineering Conference (UPEC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129480658","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 : 2022-08-30DOI: 10.1109/UPEC55022.2022.9917740
A. D. Martino, M. Longo, D. Zaninelli
Modern vehicles are nowadays largely equipped with sensors sampling several physical quantities in order to monitor the status of on-board subsystems and more in general give all the information needed on the vehicle dynamics to Electronic Control Units (ECUs). Sensors mounted are featured by different nature as far as the working principles and its techniques of fabrication are concerned. However, it can happen that the actual sensor architecture is not sufficiently robust to prompt the correct behaviour of the vehicle itself. If some physical quantities are not adequately monitored by dedicated sensors, the sampled dataset can be incomplete or not correlated with the real vehicle dynamics. In order to provide for the lack of sensors, it is important to consider both the analysis of the problem via numerical and a review of the whole sensor architecture. This paper aims to analyse the dataset sampled by on-board sensors of the vehicle to evaluate the odometry and estimate the physical quantities not monitored because of the absence of such sensors through a numerical model of the vehicle. The numerical model adopted is fitted and tuned on real tests performed. The information recovered contributes to define the dataset with more accuracy. Furthermore, a schematization of an optimal sensors architecture for vehicle dynamics application is provided to reduce the lack of information on the odometry, considering a frequent critical condition due to the interference given by the weather.
{"title":"Numerical Dataset Analysis and Sensors Architecture Review for Vehicle Dynamics Application","authors":"A. D. Martino, M. Longo, D. Zaninelli","doi":"10.1109/UPEC55022.2022.9917740","DOIUrl":"https://doi.org/10.1109/UPEC55022.2022.9917740","url":null,"abstract":"Modern vehicles are nowadays largely equipped with sensors sampling several physical quantities in order to monitor the status of on-board subsystems and more in general give all the information needed on the vehicle dynamics to Electronic Control Units (ECUs). Sensors mounted are featured by different nature as far as the working principles and its techniques of fabrication are concerned. However, it can happen that the actual sensor architecture is not sufficiently robust to prompt the correct behaviour of the vehicle itself. If some physical quantities are not adequately monitored by dedicated sensors, the sampled dataset can be incomplete or not correlated with the real vehicle dynamics. In order to provide for the lack of sensors, it is important to consider both the analysis of the problem via numerical and a review of the whole sensor architecture. This paper aims to analyse the dataset sampled by on-board sensors of the vehicle to evaluate the odometry and estimate the physical quantities not monitored because of the absence of such sensors through a numerical model of the vehicle. The numerical model adopted is fitted and tuned on real tests performed. The information recovered contributes to define the dataset with more accuracy. Furthermore, a schematization of an optimal sensors architecture for vehicle dynamics application is provided to reduce the lack of information on the odometry, considering a frequent critical condition due to the interference given by the weather.","PeriodicalId":371561,"journal":{"name":"2022 57th International Universities Power Engineering Conference (UPEC)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116565140","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 : 2022-08-30DOI: 10.1109/UPEC55022.2022.9917579
M. Al-Saadi, M. Al-Greer
The inaccurate synchronization of the charge-discharge scenarios for battery distributed energy storage systems under a decentralized multiagent-based primary-secondary control in a DC-autonomous microgrid is a crucial control drawback. Specifically, under a sudden load variation or an excessive load fluctuation. Which, in turn, negatively affects the optimization and stabilization of the control process. Furthermore, exacerbates the batteries’ health and reduces their prolonged life. The second concern that the DC microgrid faces under the specific control is the possibility of malfunctioning or downtime in one of the energy storage agents, which defects the stability and balance of the load sharing. These result in reduced system performance, and a violated renewable energy sustainability and penetration. This paper proposes an accurate synchronization technique through the adaptation of the average voltage consensus, and the introduction of a new droop-correction-based the multiagent neighbor-to-neighbor communication. A digital real-time comparison of the multiagent input of each energy storage agent is introduced, and the feature of plug and play is attained. Simulation results prove the success in attaining an accurate synchronization of the charge-discharge scenarios and enhanced balance of output voltage. Furthermore, the independency of operation from the number of the energy storage agents.
{"title":"Adaptive Multiagent Primary Secondary Control for Accurate Synchronized Charge-Discharge Scenarios of Battery Distributed Energy Storage Systems in DC Autonomous Microgrid","authors":"M. Al-Saadi, M. Al-Greer","doi":"10.1109/UPEC55022.2022.9917579","DOIUrl":"https://doi.org/10.1109/UPEC55022.2022.9917579","url":null,"abstract":"The inaccurate synchronization of the charge-discharge scenarios for battery distributed energy storage systems under a decentralized multiagent-based primary-secondary control in a DC-autonomous microgrid is a crucial control drawback. Specifically, under a sudden load variation or an excessive load fluctuation. Which, in turn, negatively affects the optimization and stabilization of the control process. Furthermore, exacerbates the batteries’ health and reduces their prolonged life. The second concern that the DC microgrid faces under the specific control is the possibility of malfunctioning or downtime in one of the energy storage agents, which defects the stability and balance of the load sharing. These result in reduced system performance, and a violated renewable energy sustainability and penetration. This paper proposes an accurate synchronization technique through the adaptation of the average voltage consensus, and the introduction of a new droop-correction-based the multiagent neighbor-to-neighbor communication. A digital real-time comparison of the multiagent input of each energy storage agent is introduced, and the feature of plug and play is attained. Simulation results prove the success in attaining an accurate synchronization of the charge-discharge scenarios and enhanced balance of output voltage. Furthermore, the independency of operation from the number of the energy storage agents.","PeriodicalId":371561,"journal":{"name":"2022 57th International Universities Power Engineering Conference (UPEC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128514253","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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