Pub Date : 2022-05-09DOI: 10.1109/energycon53164.2022.9830473
Ye-Obong N. Udoakah, H. B. Sonder, Jun Liang, L. Cipcigan
The robustness of the power grid, which is normally deigned to meet “N-1 or N-2” criteria, is constantly being threatened as a result of frequent weather-related extreme events. The impact of such events on any country’s economy can be massive and hence certain measures must be put in place to either prevent or reduce such impacts to its barest minimum. The resilience nature of some distributed energy resources (DERs) has further enhanced its viability in most power grid applications today. The integration of DERs into the power grid, especially at the distribution level, has greatly changed the dynamics of the modern electricity system. The role of DER in the provision of black start services is the focus of this paper. Since the emerging power grid must be safeguarded against all forms of instability, which is most likely to result in a system collapse leading to a power blackout, a critical review of some outstanding blackout events of the last decade was carried out. Armed with this knowledge, a restoration strategy capable of improving the resiliency of the grid in the unlikely events of a blackout is presented in this work. The uniqueness of the developed black start restoration sequence is the real time coordination of the restoration process by the advanced distribution management system. Besides this, a black start restoration (BSR) problem formulation method which can be applied in distribution management system is presented. The formulated BSR problem was done as a dynamic optimisation problem.
{"title":"Development of a Viable Black Start Restoration Pathway and Problem Formulation Sequence","authors":"Ye-Obong N. Udoakah, H. B. Sonder, Jun Liang, L. Cipcigan","doi":"10.1109/energycon53164.2022.9830473","DOIUrl":"https://doi.org/10.1109/energycon53164.2022.9830473","url":null,"abstract":"The robustness of the power grid, which is normally deigned to meet “N-1 or N-2” criteria, is constantly being threatened as a result of frequent weather-related extreme events. The impact of such events on any country’s economy can be massive and hence certain measures must be put in place to either prevent or reduce such impacts to its barest minimum. The resilience nature of some distributed energy resources (DERs) has further enhanced its viability in most power grid applications today. The integration of DERs into the power grid, especially at the distribution level, has greatly changed the dynamics of the modern electricity system. The role of DER in the provision of black start services is the focus of this paper. Since the emerging power grid must be safeguarded against all forms of instability, which is most likely to result in a system collapse leading to a power blackout, a critical review of some outstanding blackout events of the last decade was carried out. Armed with this knowledge, a restoration strategy capable of improving the resiliency of the grid in the unlikely events of a blackout is presented in this work. The uniqueness of the developed black start restoration sequence is the real time coordination of the restoration process by the advanced distribution management system. Besides this, a black start restoration (BSR) problem formulation method which can be applied in distribution management system is presented. The formulated BSR problem was done as a dynamic optimisation problem.","PeriodicalId":106388,"journal":{"name":"2022 IEEE 7th International Energy Conference (ENERGYCON)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123367122","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 : 2022-05-09DOI: 10.1109/energycon53164.2022.9830170
G. Stamatescu, Radu Plamanescu, A. Dumitrescu, Irina Ciomei, M. Albu
Modern measurement and automation equipment for energy systems collect, store, process and communicate ever increasing quantities of raw data which can be used to build data-driven prediction and classification models. Directly using these large and unprocessed data sets can be inefficient especially in imbalanced class problems, where the positive class is sparsely represented in the training examples, such as classification of micro-scale transients. This is due to the longer time required for model training, and due to the increased possibility of obfuscating the useful information behind noisy readings. The matrix profile represents a computationally efficient and general purpose time series data mining technique which is suitable for embedded deployment in future generation smart meters, and in embedded energy gateways. Our analysis concerns the application of this technique on two types of residential electric power measurement data sets: a detached single family house and an apartment, with variable reporting rate and subsequence size parametrisation. Quantitative results support the findings that such approaches serve as practical instrument for measurement time series preprocessing in energy analytics.
{"title":"Multiscale Data Analytics for Residential Active Power Measurements through Time Series Data Mining","authors":"G. Stamatescu, Radu Plamanescu, A. Dumitrescu, Irina Ciomei, M. Albu","doi":"10.1109/energycon53164.2022.9830170","DOIUrl":"https://doi.org/10.1109/energycon53164.2022.9830170","url":null,"abstract":"Modern measurement and automation equipment for energy systems collect, store, process and communicate ever increasing quantities of raw data which can be used to build data-driven prediction and classification models. Directly using these large and unprocessed data sets can be inefficient especially in imbalanced class problems, where the positive class is sparsely represented in the training examples, such as classification of micro-scale transients. This is due to the longer time required for model training, and due to the increased possibility of obfuscating the useful information behind noisy readings. The matrix profile represents a computationally efficient and general purpose time series data mining technique which is suitable for embedded deployment in future generation smart meters, and in embedded energy gateways. Our analysis concerns the application of this technique on two types of residential electric power measurement data sets: a detached single family house and an apartment, with variable reporting rate and subsequence size parametrisation. Quantitative results support the findings that such approaches serve as practical instrument for measurement time series preprocessing in energy analytics.","PeriodicalId":106388,"journal":{"name":"2022 IEEE 7th International Energy Conference (ENERGYCON)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115219853","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 : 2022-05-09DOI: 10.1109/energycon53164.2022.9830171
M. Krpan, M. Miletić, I. Kuzle, H. Pandžić
Response of energy storage units and power plants to a set-point change is not necessarily linear with a constant ramp rate, especially for frequency containment services Which are actuated on a $leq$ 30s time scale. This is because real systems have time lag in their dynamic behavior Which will cause the output to behave nonlinearly before settling down. This paper shows how to implement this behavior into the linear programming optimization framework using settling time constants of a common energy storage system and power plants. Simulation results show that if linear programming is used to model the units participating in the frequency containment services, neglecting the settling time constraints can lead to decisions Which may not be grid-compliant in practice.
{"title":"Incorporating Settling Time Constraints of Energy Storage Systems in Frequency Containment Control Optimization Problems","authors":"M. Krpan, M. Miletić, I. Kuzle, H. Pandžić","doi":"10.1109/energycon53164.2022.9830171","DOIUrl":"https://doi.org/10.1109/energycon53164.2022.9830171","url":null,"abstract":"Response of energy storage units and power plants to a set-point change is not necessarily linear with a constant ramp rate, especially for frequency containment services Which are actuated on a $leq$ 30s time scale. This is because real systems have time lag in their dynamic behavior Which will cause the output to behave nonlinearly before settling down. This paper shows how to implement this behavior into the linear programming optimization framework using settling time constants of a common energy storage system and power plants. Simulation results show that if linear programming is used to model the units participating in the frequency containment services, neglecting the settling time constraints can lead to decisions Which may not be grid-compliant in practice.","PeriodicalId":106388,"journal":{"name":"2022 IEEE 7th International Energy Conference (ENERGYCON)","volume":"42 11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115877793","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 : 2022-05-09DOI: 10.1109/energycon53164.2022.9830192
M. Barukčić, T. Varga, T. Benšić, V. J. Štil
This paper presents research on power management of a battery storage system (With the aim of reducing system losses) Without information about loads in a power distribution network with installed renewable energy sources and distributed generation. The poWer management of the storage system used in the research is based on a fuzzy inference system to define the input or output poWer of the battery storage system. The optimization procedure to determine the optimal parameters of the power management system is also provided. Except for the optimal allocation of the battery storage and distributed generation systems, the optimization of the parameters is performed along with the allocation optimization. The whole optimization problem is solved for the annual data of load and generation profiles of renewable sources using hourly values, i.e., the optimization is solved simultaneously for 8760 load and generation data. The optimization problem is solved by co-simulation using the metaheuristic optimization technique. Since the method is based on the use of fuzzy systems and metaheuristic optimization, it represents the implementation of computer intelligence for optimal allocation and energy management problems. The presented method is applied to the test distribution system IEEE with 37 nodes. The achieved reduction in annual energy losses is about 40 % of the losses in the power system without the distributed generation units and the battery storage system.
{"title":"Research on node voltage indices for battery storage management through fuzzy decision making in power distribution networks","authors":"M. Barukčić, T. Varga, T. Benšić, V. J. Štil","doi":"10.1109/energycon53164.2022.9830192","DOIUrl":"https://doi.org/10.1109/energycon53164.2022.9830192","url":null,"abstract":"This paper presents research on power management of a battery storage system (With the aim of reducing system losses) Without information about loads in a power distribution network with installed renewable energy sources and distributed generation. The poWer management of the storage system used in the research is based on a fuzzy inference system to define the input or output poWer of the battery storage system. The optimization procedure to determine the optimal parameters of the power management system is also provided. Except for the optimal allocation of the battery storage and distributed generation systems, the optimization of the parameters is performed along with the allocation optimization. The whole optimization problem is solved for the annual data of load and generation profiles of renewable sources using hourly values, i.e., the optimization is solved simultaneously for 8760 load and generation data. The optimization problem is solved by co-simulation using the metaheuristic optimization technique. Since the method is based on the use of fuzzy systems and metaheuristic optimization, it represents the implementation of computer intelligence for optimal allocation and energy management problems. The presented method is applied to the test distribution system IEEE with 37 nodes. The achieved reduction in annual energy losses is about 40 % of the losses in the power system without the distributed generation units and the battery storage system.","PeriodicalId":106388,"journal":{"name":"2022 IEEE 7th International Energy Conference (ENERGYCON)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124967572","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 : 2022-05-09DOI: 10.1109/energycon53164.2022.9830278
Héctor Bastida, Amanda Younes, C. E. Ugalde-Loo, Rob Smart, M. Khaljani, N. Jenkins, Babar Baluch
Assessing the performance of thermal energy storage (TES) units beyond software simulation requires testing in a controlled environment, with specific operating modes, and in safe conditions. A test-rig with an energy source and a monitoring system is very helpful to conduct experimental tests to assess the performance of TES systems. To this end, this paper presents an experimental facility for the study of latent heat TES (LH-TES) units. Emphasis is placed on the individual elements of the facility, which includes plumbing components and electric heaters to support the charging process of the TES units. Water is used as the heat transfer fluid (HTF). To demonstrate the capabilities of the test-rig, an LH-TES prototype for heating applications is used. Four different configurations and three operating modes are assessed: charging, discharging and discharging-mixing. The wide range of the experiments possible with the developed facility enables testing of early designs of LH-TES units ahead of deployment in real thermal networks.
{"title":"An experimental facility for latent heat thermal energy storage units","authors":"Héctor Bastida, Amanda Younes, C. E. Ugalde-Loo, Rob Smart, M. Khaljani, N. Jenkins, Babar Baluch","doi":"10.1109/energycon53164.2022.9830278","DOIUrl":"https://doi.org/10.1109/energycon53164.2022.9830278","url":null,"abstract":"Assessing the performance of thermal energy storage (TES) units beyond software simulation requires testing in a controlled environment, with specific operating modes, and in safe conditions. A test-rig with an energy source and a monitoring system is very helpful to conduct experimental tests to assess the performance of TES systems. To this end, this paper presents an experimental facility for the study of latent heat TES (LH-TES) units. Emphasis is placed on the individual elements of the facility, which includes plumbing components and electric heaters to support the charging process of the TES units. Water is used as the heat transfer fluid (HTF). To demonstrate the capabilities of the test-rig, an LH-TES prototype for heating applications is used. Four different configurations and three operating modes are assessed: charging, discharging and discharging-mixing. The wide range of the experiments possible with the developed facility enables testing of early designs of LH-TES units ahead of deployment in real thermal networks.","PeriodicalId":106388,"journal":{"name":"2022 IEEE 7th International Energy Conference (ENERGYCON)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123716218","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 : 2022-05-09DOI: 10.1109/energycon53164.2022.9830264
T. Nguyen-Huu, T. Tran, Minh-Quan Tran, P. Nguyen, J. Slootweg
Increasing the integration of distributed energy resources (DERs) requires an orchestration of the existing centralized management system used for the electricity grid and the emerging distributed ones for local energy communities (LEC). To support this orchestration, design and operation strategies of LECs needs to be analysed, based on a so-called Digital Twin (DT) platform with suitable modeling and simulation techniques. This paper presents a set of requirements needed to develop DT, thus enabling operation orchestration of LECs. Based on these specific requirements, a comprehensive review on the relevant physics-based and data-driven models will be discussed, especially focusing on the flexibility profile of LEC based on data-driven model to support the balancing reserves to the electricity grid.
{"title":"Operation Orchestration of Local Energy Communities through Digital Twin: A Review on suitable Modeling and Simulation Approaches","authors":"T. Nguyen-Huu, T. Tran, Minh-Quan Tran, P. Nguyen, J. Slootweg","doi":"10.1109/energycon53164.2022.9830264","DOIUrl":"https://doi.org/10.1109/energycon53164.2022.9830264","url":null,"abstract":"Increasing the integration of distributed energy resources (DERs) requires an orchestration of the existing centralized management system used for the electricity grid and the emerging distributed ones for local energy communities (LEC). To support this orchestration, design and operation strategies of LECs needs to be analysed, based on a so-called Digital Twin (DT) platform with suitable modeling and simulation techniques. This paper presents a set of requirements needed to develop DT, thus enabling operation orchestration of LECs. Based on these specific requirements, a comprehensive review on the relevant physics-based and data-driven models will be discussed, especially focusing on the flexibility profile of LEC based on data-driven model to support the balancing reserves to the electricity grid.","PeriodicalId":106388,"journal":{"name":"2022 IEEE 7th International Energy Conference (ENERGYCON)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128681658","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 : 2022-05-09DOI: 10.1109/energycon53164.2022.9830367
I. Ilieva, Olav Henrik Skonnord
This paper discusses important issues concerning the role of the flexibility aggregator within the flexibility value chain. Specifically, main business and operational characteristics of the aggregator are being exposed, together with gaps found in earlier research. Consequently, it became possible to extract the key research needs that future scientific work focusing on the flexibility aggregator should pay attention to. Based on the investigation carried, it was concluded that, in the course of future research on the topic, attention should be paid on ensuring robust estimates for flexibility baseline and predictions, adequate risk assessment of various flexibility assets compositions, appropriate usage of timing and pricing, attractive contract regimes and optimized aggregation/disaggregation approaches.
{"title":"The Role of the Flexibility Aggregator within the Flexibility Value Chain and Associated Research Needs","authors":"I. Ilieva, Olav Henrik Skonnord","doi":"10.1109/energycon53164.2022.9830367","DOIUrl":"https://doi.org/10.1109/energycon53164.2022.9830367","url":null,"abstract":"This paper discusses important issues concerning the role of the flexibility aggregator within the flexibility value chain. Specifically, main business and operational characteristics of the aggregator are being exposed, together with gaps found in earlier research. Consequently, it became possible to extract the key research needs that future scientific work focusing on the flexibility aggregator should pay attention to. Based on the investigation carried, it was concluded that, in the course of future research on the topic, attention should be paid on ensuring robust estimates for flexibility baseline and predictions, adequate risk assessment of various flexibility assets compositions, appropriate usage of timing and pricing, attractive contract regimes and optimized aggregation/disaggregation approaches.","PeriodicalId":106388,"journal":{"name":"2022 IEEE 7th International Energy Conference (ENERGYCON)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124679071","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 : 2022-05-09DOI: 10.1109/energycon53164.2022.9830201
P. Suskis, J. Zakis, A. Suzdalenko, H. V. Khang, A. Rassõlkin, T. Vaimann, Raimondas Pomarnacki
Power electronic reliability is an important topic for modern industrial electronics. Each component of a power converter has its lifespan, which is affected by many factors like ambient temperature, humidity, load, and thermal cycles of the system. This study focuses on modeling and identifying a state-space model of a power converter under the degradation of passive components, namely the capacitor and inductor. A state-space model of a buck converter is estimated within the framework by dynamic mode decomposition. The algorithm requires 10 to 16 long historical samples of the state variables and the control signal. The numerical results prove that the suggested algorithm can track the system change in time.
{"title":"Converter State-Space Model Estimation Using Dynamic Mode Decomposition","authors":"P. Suskis, J. Zakis, A. Suzdalenko, H. V. Khang, A. Rassõlkin, T. Vaimann, Raimondas Pomarnacki","doi":"10.1109/energycon53164.2022.9830201","DOIUrl":"https://doi.org/10.1109/energycon53164.2022.9830201","url":null,"abstract":"Power electronic reliability is an important topic for modern industrial electronics. Each component of a power converter has its lifespan, which is affected by many factors like ambient temperature, humidity, load, and thermal cycles of the system. This study focuses on modeling and identifying a state-space model of a power converter under the degradation of passive components, namely the capacitor and inductor. A state-space model of a buck converter is estimated within the framework by dynamic mode decomposition. The algorithm requires 10 to 16 long historical samples of the state variables and the control signal. The numerical results prove that the suggested algorithm can track the system change in time.","PeriodicalId":106388,"journal":{"name":"2022 IEEE 7th International Energy Conference (ENERGYCON)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121091086","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 : 2022-05-09DOI: 10.1109/energycon53164.2022.9830511
G. Nesterenko, D. Armeev, Dmitriy Gladkov, V. Zyryanov, Julia V. Mokrousova, A. Myachina
The paper gives the principles of frequency control in off-grid power system based on autonomous hybrid power plant (AHPP). AHPP is intended for territories, which aren’t connected to the centralized electric power supply. Composition of power sources in AHPP includes traditional generators, renewable energy source (RES) and electric energy storage system (EESS). The control principles are designed for limitation frequency deviations in power system, providing the balanced use of the adjustable abilities of power sources. With consideration to the stated requirements and efficiency criteria, the frequency control algorithms, the AHPP control algorithm using energy sources of several types, and algorithm maintaining EESS state of charge during control have been developed. In order to analyze effectiveness of the algorithms, the mathematical model of off-grid power system based on AHPP has been developed in MATLAB/Simulink. AHPP includes diesel generators, solar power plant and EESS. Simulation of AHPP operation in power system with abruptly variable load has been conducted. The results of calculations performed using the model have proved effectiveness of developed control principles from the viewpoint of frequency control quality and maintenance of EESS state of charge during regulation process.
{"title":"Adaptive Frequency Control Algorithm In Off-Grid Power System Based On Photovoltaic Diesel Hybrid System And Energy Storage","authors":"G. Nesterenko, D. Armeev, Dmitriy Gladkov, V. Zyryanov, Julia V. Mokrousova, A. Myachina","doi":"10.1109/energycon53164.2022.9830511","DOIUrl":"https://doi.org/10.1109/energycon53164.2022.9830511","url":null,"abstract":"The paper gives the principles of frequency control in off-grid power system based on autonomous hybrid power plant (AHPP). AHPP is intended for territories, which aren’t connected to the centralized electric power supply. Composition of power sources in AHPP includes traditional generators, renewable energy source (RES) and electric energy storage system (EESS). The control principles are designed for limitation frequency deviations in power system, providing the balanced use of the adjustable abilities of power sources. With consideration to the stated requirements and efficiency criteria, the frequency control algorithms, the AHPP control algorithm using energy sources of several types, and algorithm maintaining EESS state of charge during control have been developed. In order to analyze effectiveness of the algorithms, the mathematical model of off-grid power system based on AHPP has been developed in MATLAB/Simulink. AHPP includes diesel generators, solar power plant and EESS. Simulation of AHPP operation in power system with abruptly variable load has been conducted. The results of calculations performed using the model have proved effectiveness of developed control principles from the viewpoint of frequency control quality and maintenance of EESS state of charge during regulation process.","PeriodicalId":106388,"journal":{"name":"2022 IEEE 7th International Energy Conference (ENERGYCON)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126048670","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 : 2022-05-09DOI: 10.1109/energycon53164.2022.9830246
Maurizio Zajadatz, M. Suriyah, T. Leibfried
Due to the ongoing energy transition, the need for monitoring solutions in medium-voltage technology is increasing. In this paper, a full-scaled test bed for thermal monitoring of medium-voltage switchgears is presented. The focus of the experiments is on the validation of new sensors and the monitoring solutions they allow. In addition to the existing control system, each switchgear is equipped with a modern data acquisition system. This enables synchronous recording of all measured values and provides all common communication interfaces including communication protocols to read out prototypes of new sensors. In this work, the system is tested in the laboratory, but can be applied in the field without any problems.
{"title":"Experimental Validation of Thermal Monitoring Systems for Medium-Voltage Switchgears","authors":"Maurizio Zajadatz, M. Suriyah, T. Leibfried","doi":"10.1109/energycon53164.2022.9830246","DOIUrl":"https://doi.org/10.1109/energycon53164.2022.9830246","url":null,"abstract":"Due to the ongoing energy transition, the need for monitoring solutions in medium-voltage technology is increasing. In this paper, a full-scaled test bed for thermal monitoring of medium-voltage switchgears is presented. The focus of the experiments is on the validation of new sensors and the monitoring solutions they allow. In addition to the existing control system, each switchgear is equipped with a modern data acquisition system. This enables synchronous recording of all measured values and provides all common communication interfaces including communication protocols to read out prototypes of new sensors. In this work, the system is tested in the laboratory, but can be applied in the field without any problems.","PeriodicalId":106388,"journal":{"name":"2022 IEEE 7th International Energy Conference (ENERGYCON)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122244752","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：