The ongoing transformation of electrical power systems highlights the weaknesses of the protection schemes of traditional devices because they are designed and configured according to traditional characteristics of th...The ongoing transformation of electrical power systems highlights the weaknesses of the protection schemes of traditional devices because they are designed and configured according to traditional characteristics of the system.Therefore,this work proposes a new methodology to study the fault-generated high frequency transient signals in transmission lines through multiresolution analysis.The high frequency components are determined by a new digital filtering technique based on mathematical morphology theory and a spectral energy index.Consequently,wide spectra of signals in the time–frequency domain are obtained.The performance of this method is verified on an electrical power system modeled in ATP-Draw,where simulation and test signals are developed for different locations,fault resistances,inception angles,high frequency noises,sampling frequencies,types of faults,and shapes of the structuring element.The results show the characteristics of the fault such as the traveling wave frequency,location,and starting time.展开更多
Drastic events such as pandemics,earthquakes or other disasters not only threaten the immediate living conditions of people but also indirect circumstances such as energy supply,infrastructure and food production.To e...Drastic events such as pandemics,earthquakes or other disasters not only threaten the immediate living conditions of people but also indirect circumstances such as energy supply,infrastructure and food production.To ensure that damage and failures in these areas do not lead to a disaster,special requirements are placed on this critical infrastructure.In this context resilience,which is defined as the resistance of a system to external effects,is required.A field that is indeed part of the critical infrastructure,but which has not been considered as intensively as the energy sector,is food production.The investigation focuses on how fundamental principles of thermodynamics,system theory and reliability theory can be applied to the modelling of food production processes to obtain a measure of resilience.Using known state and process variables from thermodynamics and electrical power engineering,analogous variables are derived for the food industry.These variables serve as an evaluation standard for a quality measure𝑄.In addi-tion to system-theoretical considerations,it is investigated how existing evaluation criteria of power engineering,such as System Average Interruption Duration Index(SAIDI)and Customer Average Interruption Duration Index(CAIDI),can be transferred to food production.Design:The investigation focuses on how fundamental principles of thermodynamics,system theory and reliability theory can be applied to the modelling of food production processes to obtain a measure of resilience.Using known state and process variables from thermodynamics and electrical power engineering,analogous variables are derived for the food industry.Purpose:Drastic events such as pandemics,earthquakes or other disasters not only threaten the immediate living conditions of people but also indirect circumstances such as energy supply,infrastructure and food produc-tion.To ensure that damage and failures in these areas do not lead to a disaster,special requirements are placed on this critical infrastructure.In this context resilience is required.Findings:The aforementioned state and process variables serve as an evaluation standard for a quality mea-sure Q.In addition to system-theoretical considerations,it is investigated how existing evaluation criteria of power engineering,such as SAIDI and CAIDI,can be transferred to food production.Originality:This paper fulfils an identified need to study a part of the critical infrastructure that has not been as extensively looked at as the energy sector,namely food production.展开更多
文摘The ongoing transformation of electrical power systems highlights the weaknesses of the protection schemes of traditional devices because they are designed and configured according to traditional characteristics of the system.Therefore,this work proposes a new methodology to study the fault-generated high frequency transient signals in transmission lines through multiresolution analysis.The high frequency components are determined by a new digital filtering technique based on mathematical morphology theory and a spectral energy index.Consequently,wide spectra of signals in the time–frequency domain are obtained.The performance of this method is verified on an electrical power system modeled in ATP-Draw,where simulation and test signals are developed for different locations,fault resistances,inception angles,high frequency noises,sampling frequencies,types of faults,and shapes of the structuring element.The results show the characteristics of the fault such as the traveling wave frequency,location,and starting time.
文摘Drastic events such as pandemics,earthquakes or other disasters not only threaten the immediate living conditions of people but also indirect circumstances such as energy supply,infrastructure and food production.To ensure that damage and failures in these areas do not lead to a disaster,special requirements are placed on this critical infrastructure.In this context resilience,which is defined as the resistance of a system to external effects,is required.A field that is indeed part of the critical infrastructure,but which has not been considered as intensively as the energy sector,is food production.The investigation focuses on how fundamental principles of thermodynamics,system theory and reliability theory can be applied to the modelling of food production processes to obtain a measure of resilience.Using known state and process variables from thermodynamics and electrical power engineering,analogous variables are derived for the food industry.These variables serve as an evaluation standard for a quality measure𝑄.In addi-tion to system-theoretical considerations,it is investigated how existing evaluation criteria of power engineering,such as System Average Interruption Duration Index(SAIDI)and Customer Average Interruption Duration Index(CAIDI),can be transferred to food production.Design:The investigation focuses on how fundamental principles of thermodynamics,system theory and reliability theory can be applied to the modelling of food production processes to obtain a measure of resilience.Using known state and process variables from thermodynamics and electrical power engineering,analogous variables are derived for the food industry.Purpose:Drastic events such as pandemics,earthquakes or other disasters not only threaten the immediate living conditions of people but also indirect circumstances such as energy supply,infrastructure and food produc-tion.To ensure that damage and failures in these areas do not lead to a disaster,special requirements are placed on this critical infrastructure.In this context resilience is required.Findings:The aforementioned state and process variables serve as an evaluation standard for a quality mea-sure Q.In addition to system-theoretical considerations,it is investigated how existing evaluation criteria of power engineering,such as SAIDI and CAIDI,can be transferred to food production.Originality:This paper fulfils an identified need to study a part of the critical infrastructure that has not been as extensively looked at as the energy sector,namely food production.
