Pub Date : 2020-06-01DOI: 10.1109/ICE/ITMC49519.2020.9198612
Sanelisiwe Hlongwane, S. Grobbelaar
Uncertainty exists regarding the possible return on investment through health information systems projects. Here, the impact of value creation in the success of health information systems plays an important role. To this end, exploring value creation through stakeholder engagement on a micro-level is essential for the improvement of healthcare practices. Therefore, emphasis is placed on the complexities of information systems within health ecosystems and how value can emerge for different actors through different processes when it comes to ‘value’ ‘co’ and ‘creation’. This paper presents the outcome of a systematic literature that was completed to gain a full understanding of the creation of value through information systems within their ecosystems. Grounded Theory Methodology forms the basis that guided the researcher to identify, evaluate and interpret emerging evidence from the studies reviewed.
{"title":"Information Systems for Value Creation in Health Ecosystems: A Systematic Literature Review","authors":"Sanelisiwe Hlongwane, S. Grobbelaar","doi":"10.1109/ICE/ITMC49519.2020.9198612","DOIUrl":"https://doi.org/10.1109/ICE/ITMC49519.2020.9198612","url":null,"abstract":"Uncertainty exists regarding the possible return on investment through health information systems projects. Here, the impact of value creation in the success of health information systems plays an important role. To this end, exploring value creation through stakeholder engagement on a micro-level is essential for the improvement of healthcare practices. Therefore, emphasis is placed on the complexities of information systems within health ecosystems and how value can emerge for different actors through different processes when it comes to ‘value’ ‘co’ and ‘creation’. This paper presents the outcome of a systematic literature that was completed to gain a full understanding of the creation of value through information systems within their ecosystems. Grounded Theory Methodology forms the basis that guided the researcher to identify, evaluate and interpret emerging evidence from the studies reviewed.","PeriodicalId":269465,"journal":{"name":"2020 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC)","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116826739","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 : 2020-06-01DOI: 10.1109/ICE/ITMC49519.2020.9198644
F. Sturm, Christoph Pott
This paper investigates the efforts of an independent research organization to explore future research opportunities by establishing a so-called ‘research map’. The existing organizational set-up and the existing practices of the research organization are quite unique, as it is composed of several interdisciplinary and inter-organizational units (‘research clans’), which favor participatory decision-making. The authors present a case study that primarily draws on research on ‘open strategy’, a research stream within the broader strategic management literature that puts emphasis on a high degree of involvement of the members of an organization (and other stakeholders). By observing the open strategy-making process in the research organization, we shed more light on the real-world application of open strategy concepts.
{"title":"Open Strategy in a Research Organization: Joint Exploration of Research Opportunities in Logistics & IT","authors":"F. Sturm, Christoph Pott","doi":"10.1109/ICE/ITMC49519.2020.9198644","DOIUrl":"https://doi.org/10.1109/ICE/ITMC49519.2020.9198644","url":null,"abstract":"This paper investigates the efforts of an independent research organization to explore future research opportunities by establishing a so-called ‘research map’. The existing organizational set-up and the existing practices of the research organization are quite unique, as it is composed of several interdisciplinary and inter-organizational units (‘research clans’), which favor participatory decision-making. The authors present a case study that primarily draws on research on ‘open strategy’, a research stream within the broader strategic management literature that puts emphasis on a high degree of involvement of the members of an organization (and other stakeholders). By observing the open strategy-making process in the research organization, we shed more light on the real-world application of open strategy concepts.","PeriodicalId":269465,"journal":{"name":"2020 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121783022","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 : 2020-06-01DOI: 10.1109/ICE/ITMC49519.2020.9198437
M. Schmidtner, H. Timinger, Martina Blust, Claudia Doering, Daniel Hilpoltsteiner
While the German car industry was very successful over the past few decades, new challenges have surfaced in recent years. Societal changes, technological innovation and sustainability requirements call for improvements in flexibility and speed during the automotive development process. Traditionally, plan-based frameworks like the waterfall or Vee-model are used by the automotive industry. However, these frameworks do not work well for all suppliers that partake in the automotive product development process. An agile or hybrid framework may offer a better alternative for specific suppliers. To create an innovative, digital and adaptive product development process, this research aims at the integration of the whole value chain. This includes the requirements of the OEM (original equipment manufacturer) and their suppliers. To allow for simple usage and adaptation, the knowledge is processed into a digital reference model. This generic reference model is then used to derive specific development processes that consider the context of each partner. By integrating communication mechanisms, it ensures that all partners can use their preferred framework for their development process while still ensuring a consistent product. In order to be able to select the most appropriate framework according to the context of a specific partner, the reference model takes into consideration all contextual factors of the development process.
{"title":"Towards an adaptive reference model for agile and hybrid frameworks in automotive development","authors":"M. Schmidtner, H. Timinger, Martina Blust, Claudia Doering, Daniel Hilpoltsteiner","doi":"10.1109/ICE/ITMC49519.2020.9198437","DOIUrl":"https://doi.org/10.1109/ICE/ITMC49519.2020.9198437","url":null,"abstract":"While the German car industry was very successful over the past few decades, new challenges have surfaced in recent years. Societal changes, technological innovation and sustainability requirements call for improvements in flexibility and speed during the automotive development process. Traditionally, plan-based frameworks like the waterfall or Vee-model are used by the automotive industry. However, these frameworks do not work well for all suppliers that partake in the automotive product development process. An agile or hybrid framework may offer a better alternative for specific suppliers. To create an innovative, digital and adaptive product development process, this research aims at the integration of the whole value chain. This includes the requirements of the OEM (original equipment manufacturer) and their suppliers. To allow for simple usage and adaptation, the knowledge is processed into a digital reference model. This generic reference model is then used to derive specific development processes that consider the context of each partner. By integrating communication mechanisms, it ensures that all partners can use their preferred framework for their development process while still ensuring a consistent product. In order to be able to select the most appropriate framework according to the context of a specific partner, the reference model takes into consideration all contextual factors of the development process.","PeriodicalId":269465,"journal":{"name":"2020 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134293853","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 : 2020-06-01DOI: 10.1109/ICE/ITMC49519.2020.9198355
Adrien Lecossier, M. Pallot
The current sanitary crisis all over the world is unprecedented and affects all areas of activities. While companies have been investing in innovation strategies for years, crisis periods are very often conducive to downscaling R&D investment and realizing incremental innovations. However, the COVID-19 crisis caused the emergence of new multidimensional stakes summarize in the “Monde d’ Après” movement. This exploratory study proposes to analyze the innovation strategy of mature companies applied during the COVID-19 sanitary crisis in order to understand if they apply specific strategies according to the “unprecedented” aspect of this crisis. The results based on the analysis of collected lessons learned show that most of companies mainly focus on incremental innovation strategies during this crisis.
{"title":"Innovation Strategies of Mature Resilient Businesses during the Covid-19 crisis","authors":"Adrien Lecossier, M. Pallot","doi":"10.1109/ICE/ITMC49519.2020.9198355","DOIUrl":"https://doi.org/10.1109/ICE/ITMC49519.2020.9198355","url":null,"abstract":"The current sanitary crisis all over the world is unprecedented and affects all areas of activities. While companies have been investing in innovation strategies for years, crisis periods are very often conducive to downscaling R&D investment and realizing incremental innovations. However, the COVID-19 crisis caused the emergence of new multidimensional stakes summarize in the “Monde d’ Après” movement. This exploratory study proposes to analyze the innovation strategy of mature companies applied during the COVID-19 sanitary crisis in order to understand if they apply specific strategies according to the “unprecedented” aspect of this crisis. The results based on the analysis of collected lessons learned show that most of companies mainly focus on incremental innovation strategies during this crisis.","PeriodicalId":269465,"journal":{"name":"2020 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132664580","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 : 2020-06-01DOI: 10.1109/ICE/ITMC49519.2020.9198604
Alex Gabriel, Kévin Berger, L. Dupont, Valérie Rault, M. Camargo, Frédérique Mayer
Humanity is facing environmental issues that require the whole way in which we produce, distribute, and consume energy to be challenged. One technical solution that is widely considered is the smart grid, meaning a decentralized and multi-scale smart energy system. For more than a decade, various pilot projects have been implemented successfully all over the European Union. If such pilots are to be scaled up into effective roll-outs, the electrical engineering workforce needs to be prepared, as do the public authorities, engineering researchers and broader public. They need quick awareness-raising and training in the benefits, drawbacks, opportunities and skills associated with smart grids. Due to the complex nature of the situation and the related challenges for society, designing this training requires an innovative and participative approach. This article proposes a case study on applying a living lab approach to the design of innovative online courses on smart grids.
{"title":"Applying a Living Lab Approach to Smart Grid Training Course Design","authors":"Alex Gabriel, Kévin Berger, L. Dupont, Valérie Rault, M. Camargo, Frédérique Mayer","doi":"10.1109/ICE/ITMC49519.2020.9198604","DOIUrl":"https://doi.org/10.1109/ICE/ITMC49519.2020.9198604","url":null,"abstract":"Humanity is facing environmental issues that require the whole way in which we produce, distribute, and consume energy to be challenged. One technical solution that is widely considered is the smart grid, meaning a decentralized and multi-scale smart energy system. For more than a decade, various pilot projects have been implemented successfully all over the European Union. If such pilots are to be scaled up into effective roll-outs, the electrical engineering workforce needs to be prepared, as do the public authorities, engineering researchers and broader public. They need quick awareness-raising and training in the benefits, drawbacks, opportunities and skills associated with smart grids. Due to the complex nature of the situation and the related challenges for society, designing this training requires an innovative and participative approach. This article proposes a case study on applying a living lab approach to the design of innovative online courses on smart grids.","PeriodicalId":269465,"journal":{"name":"2020 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114445549","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 : 2020-06-01DOI: 10.1109/ICE/ITMC49519.2020.9198396
Bronwyn Joubert, W. Bam
The Lean philosophy is increasingly being applied to the healthcare industry in efforts to improve quality of care and reduce costs. This paper presents a systematic literature review of 48 papers on leanness assessment in order to gain an understanding of the possible approaches for developing a tool for such an assessment for healthcare applications of Lean. It summarises the possible methodologies and characteristics for such a tool, as well as offering a critical analysis of their possible use for the tool. It further classifies a set of core areas for leanness assessment from the data gathered from these papers as a starting point for its development.
{"title":"Towards a hospital leanness assessment tool: A review","authors":"Bronwyn Joubert, W. Bam","doi":"10.1109/ICE/ITMC49519.2020.9198396","DOIUrl":"https://doi.org/10.1109/ICE/ITMC49519.2020.9198396","url":null,"abstract":"The Lean philosophy is increasingly being applied to the healthcare industry in efforts to improve quality of care and reduce costs. This paper presents a systematic literature review of 48 papers on leanness assessment in order to gain an understanding of the possible approaches for developing a tool for such an assessment for healthcare applications of Lean. It summarises the possible methodologies and characteristics for such a tool, as well as offering a critical analysis of their possible use for the tool. It further classifies a set of core areas for leanness assessment from the data gathered from these papers as a starting point for its development.","PeriodicalId":269465,"journal":{"name":"2020 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117072835","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 : 2020-06-01DOI: 10.1109/ice/itmc49519.2020.9198516
{"title":"Digitalization through Digital Twins - Innovation in the Analysis and Management of Environmental and Physical Engineering Complex Systems","authors":"","doi":"10.1109/ice/itmc49519.2020.9198516","DOIUrl":"https://doi.org/10.1109/ice/itmc49519.2020.9198516","url":null,"abstract":"","PeriodicalId":269465,"journal":{"name":"2020 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128324284","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 : 2020-06-01DOI: 10.1109/ICE/ITMC49519.2020.9198554
Timea Kadar, M. Kadar
Sustainability, to describe it in simpler words, is a process of making things less bad. It is not a long-term solution even if it limits the destruction of the environment to a manageable level. Nevertheless, by just becoming sustainable, one cannot bring back what has been lost. The restoration approach is immediately required to fixing what has been broken by using renewable energy, reforestation and creating biodiversity gains. Redesigning our industrial system of production and consumption around the circular patterns of resource and energy use that we observe in mature ecosystems is a must and a complex endeavour. To create a truly regenerative economy challenges us to work with huge amounts of data. New techniques of data science and artificial intelligence are required in each step of the ecological design. This paper presents some examples of biomimicry in circular design and proposes techniques that integrate data science and artificial intelligence (AI) as tools to accelerate the transition towards the regenerative approach. AI, as an emergent ‘Fourth Industrial Revolution’ technology, can support and accelerate the pace of human innovation to design the future urban developments, to enable innovation in cities. AI has the capability to create a step change, to support an effective economic system that is regenerative by design.
{"title":"Sustainability Is Not Enough: Towards AI Supported Regenerative Design","authors":"Timea Kadar, M. Kadar","doi":"10.1109/ICE/ITMC49519.2020.9198554","DOIUrl":"https://doi.org/10.1109/ICE/ITMC49519.2020.9198554","url":null,"abstract":"Sustainability, to describe it in simpler words, is a process of making things less bad. It is not a long-term solution even if it limits the destruction of the environment to a manageable level. Nevertheless, by just becoming sustainable, one cannot bring back what has been lost. The restoration approach is immediately required to fixing what has been broken by using renewable energy, reforestation and creating biodiversity gains. Redesigning our industrial system of production and consumption around the circular patterns of resource and energy use that we observe in mature ecosystems is a must and a complex endeavour. To create a truly regenerative economy challenges us to work with huge amounts of data. New techniques of data science and artificial intelligence are required in each step of the ecological design. This paper presents some examples of biomimicry in circular design and proposes techniques that integrate data science and artificial intelligence (AI) as tools to accelerate the transition towards the regenerative approach. AI, as an emergent ‘Fourth Industrial Revolution’ technology, can support and accelerate the pace of human innovation to design the future urban developments, to enable innovation in cities. AI has the capability to create a step change, to support an effective economic system that is regenerative by design.","PeriodicalId":269465,"journal":{"name":"2020 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC)","volume":"15 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128012240","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 : 2020-06-01DOI: 10.1109/ICE/ITMC49519.2020.9198625
E. Bottani, G. Vignali, Giovanni Paolo Carlo Tancredi
Many enabling technologies of Industry 4.0 (Internet of Things “IoT”, Cloud systems, Big Data Analytics) contribute to the creation of what is the Digital Twin or virtual twin of a physical process, that is a mathematical model capable of describing the process, product or service in a precise way in order to carry out analyses and apply strategies. Digital Twin models integrate artificial intelligence, machine learning and analytics software with the data collected from the production plants to create digital simulation models that update when the parameters of the production processes or the working conditions change. This is a self-learning mechanism, which makes use of data collected from various sources (sensors that transmit operating conditions; experts, such as engineers with deep knowledge of the industrial domain; other similar machines or fleets of similar machines) and integrates also historical data relating to the past use of the machine. Starting from the virtual twin vision, simulation plays a key role within the Industry 4.0 transformation. Creating a virtual prototype has become necessary and strategic to raise the safety levels of the operators engaged in the maintenance phases, but above all the integration of the digital model with the IoT has become particularly effective, as the advent of software platforms offers the possibility of integrating real-time data with all the digital information that a company owns on a given process, ensuring the realization of the Digital Twin. In this context, this work aims at developing optimized solutions for application in a beverage pasteurization system using the Digital Twin approach, capable of creating a virtual modelling of the process and preventing high-risk events for operators.
{"title":"A digital twin model of a pasteurization system for food beverages: tools and architecture","authors":"E. Bottani, G. Vignali, Giovanni Paolo Carlo Tancredi","doi":"10.1109/ICE/ITMC49519.2020.9198625","DOIUrl":"https://doi.org/10.1109/ICE/ITMC49519.2020.9198625","url":null,"abstract":"Many enabling technologies of Industry 4.0 (Internet of Things “IoT”, Cloud systems, Big Data Analytics) contribute to the creation of what is the Digital Twin or virtual twin of a physical process, that is a mathematical model capable of describing the process, product or service in a precise way in order to carry out analyses and apply strategies. Digital Twin models integrate artificial intelligence, machine learning and analytics software with the data collected from the production plants to create digital simulation models that update when the parameters of the production processes or the working conditions change. This is a self-learning mechanism, which makes use of data collected from various sources (sensors that transmit operating conditions; experts, such as engineers with deep knowledge of the industrial domain; other similar machines or fleets of similar machines) and integrates also historical data relating to the past use of the machine. Starting from the virtual twin vision, simulation plays a key role within the Industry 4.0 transformation. Creating a virtual prototype has become necessary and strategic to raise the safety levels of the operators engaged in the maintenance phases, but above all the integration of the digital model with the IoT has become particularly effective, as the advent of software platforms offers the possibility of integrating real-time data with all the digital information that a company owns on a given process, ensuring the realization of the Digital Twin. In this context, this work aims at developing optimized solutions for application in a beverage pasteurization system using the Digital Twin approach, capable of creating a virtual modelling of the process and preventing high-risk events for operators.","PeriodicalId":269465,"journal":{"name":"2020 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131667687","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 : 2020-06-01DOI: 10.1109/ICE/ITMC49519.2020.9198645
H. Rehman, U. Ritschel
For doubly-fed induction generator (DFIG) based wind turbine connected to power grid the small-signal stability should be analyzed properly for facilitating the damping strategy design. In this paper, the small-signal stability of DFIG based wind energy model has been analyzed by using a linearized technique for calculating eigenvalues theoretically and also by programming technique using MATLAB to verify the results to analyze the stability of wind energy converter (WEC) model. Based on the federate small-signal model, eigenvalue analysis results are used for determining the relationship between state variables and different oscillation modes through the calculation of participation factors. With the analysis of this model, the evolve small-signal model can determine all the types of oscillating modes of DFIG connected to the grid, which are low and high-frequency oscillation, counting frequency and damping ratio of every oscillation mode. Different control parameters values of the small-signal model can impact frequency and the damping ratio of oscillation modes, which are the basis for an advanced study about damping strategy. Some control parameters values variation influence has been studied which shows how these factors impact on eigenvalues to affect oscillation mode.
{"title":"Eigenvalue stability analysis of DFIG based DlgSILENT PowerFactory wind energy model using MATLAB","authors":"H. Rehman, U. Ritschel","doi":"10.1109/ICE/ITMC49519.2020.9198645","DOIUrl":"https://doi.org/10.1109/ICE/ITMC49519.2020.9198645","url":null,"abstract":"For doubly-fed induction generator (DFIG) based wind turbine connected to power grid the small-signal stability should be analyzed properly for facilitating the damping strategy design. In this paper, the small-signal stability of DFIG based wind energy model has been analyzed by using a linearized technique for calculating eigenvalues theoretically and also by programming technique using MATLAB to verify the results to analyze the stability of wind energy converter (WEC) model. Based on the federate small-signal model, eigenvalue analysis results are used for determining the relationship between state variables and different oscillation modes through the calculation of participation factors. With the analysis of this model, the evolve small-signal model can determine all the types of oscillating modes of DFIG connected to the grid, which are low and high-frequency oscillation, counting frequency and damping ratio of every oscillation mode. Different control parameters values of the small-signal model can impact frequency and the damping ratio of oscillation modes, which are the basis for an advanced study about damping strategy. Some control parameters values variation influence has been studied which shows how these factors impact on eigenvalues to affect oscillation mode.","PeriodicalId":269465,"journal":{"name":"2020 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128297512","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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