Computational intelligence applications in smart grids :: enabling methodologies for proactive and self organizing power systems /
This book considers the emerging technologies and methodologies of the application of computational intelligence to smart grids. From a conceptual point of view, the smart grid is the convergence of information and operational technologies applied to the electric grid, allowing sustainable options t...
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| Format: | Elektronisch E-Book |
| Sprache: | English |
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Hackensack, NJ :
Imperial College Press,
[2015]
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| Online-Zugang: | Volltext |
| Zusammenfassung: | This book considers the emerging technologies and methodologies of the application of computational intelligence to smart grids. From a conceptual point of view, the smart grid is the convergence of information and operational technologies applied to the electric grid, allowing sustainable options to customers and improved levels of security. Smart grid technologies include advanced sensing systems, two-way high-speed communications, monitoring and enterprise analysis software, and related services used to obtain location-specific and real-time actionable data for the provision of enhanced services for both system operators (i.e. distribution automation, asset management, advanced metering infrastructure) and end-users (i.e. demand side management, demand response). In this context, a crucial issue is how to support the evolution of existing electrical grids from static hierarchal systems to self-organizing, highly scalable and pervasive networks. Modern trends are oriented toward the employment of computational intelligence techniques for deploying advanced control, protection and monitoring architectures that move away from the older centralized paradigm to systems distributed across the field with an increasing pervasion of intelligence devices. The large-scale deployment of computational intelligence technologies in smart grids could lead to a more efficient tasks distribution amongst energy resources and, consequently, to a sensible improvement of the electrical grid flexibility. |
| Beschreibung: | 1 online resource |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9781783265893 1783265892 9781322668840 1322668841 |
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| 505 | 0 | |a 1. Wide-area monitoring, protection and control needs, applications, and benefits / Vahid Madani, Damir Novosel and Roger King -- 2. A MINLP approach for network reconfiguration and dispatch in distribution systems / Sergio Bruno and Massimo La Scala -- 3. Multi-objective optimization methods for solving the economic emission dispatch problem / Balusu Srinivasa Rao and Kanchapogu Vaisakh -- 4. Voltage security assessment and optimal load shedding using the CBR approach / Narayan Prasad Patidar -- 5. A novel state estimation paradigm based on artificial dynamic models / Francesco Torelli and Alfredo Vaccaro -- 6. Improving voltage regulation in smart grids through adaptive fuzzy agents / Giovanni Acampora and Autilia Vitiello -- 7. Smart metering / Daniele Gallo [and others]. | |
| 520 | |a This book considers the emerging technologies and methodologies of the application of computational intelligence to smart grids. From a conceptual point of view, the smart grid is the convergence of information and operational technologies applied to the electric grid, allowing sustainable options to customers and improved levels of security. Smart grid technologies include advanced sensing systems, two-way high-speed communications, monitoring and enterprise analysis software, and related services used to obtain location-specific and real-time actionable data for the provision of enhanced services for both system operators (i.e. distribution automation, asset management, advanced metering infrastructure) and end-users (i.e. demand side management, demand response). In this context, a crucial issue is how to support the evolution of existing electrical grids from static hierarchal systems to self-organizing, highly scalable and pervasive networks. Modern trends are oriented toward the employment of computational intelligence techniques for deploying advanced control, protection and monitoring architectures that move away from the older centralized paradigm to systems distributed across the field with an increasing pervasion of intelligence devices. The large-scale deployment of computational intelligence technologies in smart grids could lead to a more efficient tasks distribution amongst energy resources and, consequently, to a sensible improvement of the electrical grid flexibility. | ||
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| contents | 1. Wide-area monitoring, protection and control needs, applications, and benefits / Vahid Madani, Damir Novosel and Roger King -- 2. A MINLP approach for network reconfiguration and dispatch in distribution systems / Sergio Bruno and Massimo La Scala -- 3. Multi-objective optimization methods for solving the economic emission dispatch problem / Balusu Srinivasa Rao and Kanchapogu Vaisakh -- 4. Voltage security assessment and optimal load shedding using the CBR approach / Narayan Prasad Patidar -- 5. A novel state estimation paradigm based on artificial dynamic models / Francesco Torelli and Alfredo Vaccaro -- 6. Improving voltage regulation in smart grids through adaptive fuzzy agents / Giovanni Acampora and Autilia Vitiello -- 7. Smart metering / Daniele Gallo [and others]. |
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| spelling | Zobaa, Ahmed F. Computational intelligence applications in smart grids : enabling methodologies for proactive and self organizing power systems / Ahmed F Zobaa, Brunel University, UK, Alfredo F Vaccaro, University of Sannio, Italy. Hackensack, NJ : Imperial College Press, [2015] 1 online resource text txt rdacontent computer c rdamedia online resource cr rdacarrier Includes bibliographical references and index. Print version record. 1. Wide-area monitoring, protection and control needs, applications, and benefits / Vahid Madani, Damir Novosel and Roger King -- 2. A MINLP approach for network reconfiguration and dispatch in distribution systems / Sergio Bruno and Massimo La Scala -- 3. Multi-objective optimization methods for solving the economic emission dispatch problem / Balusu Srinivasa Rao and Kanchapogu Vaisakh -- 4. Voltage security assessment and optimal load shedding using the CBR approach / Narayan Prasad Patidar -- 5. A novel state estimation paradigm based on artificial dynamic models / Francesco Torelli and Alfredo Vaccaro -- 6. Improving voltage regulation in smart grids through adaptive fuzzy agents / Giovanni Acampora and Autilia Vitiello -- 7. Smart metering / Daniele Gallo [and others]. This book considers the emerging technologies and methodologies of the application of computational intelligence to smart grids. From a conceptual point of view, the smart grid is the convergence of information and operational technologies applied to the electric grid, allowing sustainable options to customers and improved levels of security. Smart grid technologies include advanced sensing systems, two-way high-speed communications, monitoring and enterprise analysis software, and related services used to obtain location-specific and real-time actionable data for the provision of enhanced services for both system operators (i.e. distribution automation, asset management, advanced metering infrastructure) and end-users (i.e. demand side management, demand response). In this context, a crucial issue is how to support the evolution of existing electrical grids from static hierarchal systems to self-organizing, highly scalable and pervasive networks. Modern trends are oriented toward the employment of computational intelligence techniques for deploying advanced control, protection and monitoring architectures that move away from the older centralized paradigm to systems distributed across the field with an increasing pervasion of intelligence devices. The large-scale deployment of computational intelligence technologies in smart grids could lead to a more efficient tasks distribution amongst energy resources and, consequently, to a sensible improvement of the electrical grid flexibility. Smart power grids. http://id.loc.gov/authorities/subjects/sh2011003732 Computational intelligence. http://id.loc.gov/authorities/subjects/sh94004659 Réseaux électriques intelligents. Intelligence informatique. COMPUTERS General. bisacsh Computational intelligence fast Smart power grids fast Vaccaro, Alfredo. has work: Computational Intelligence Applications in Smart Grids: Enabling Methodologies for Proactive and Self-organizing Power Systems (Text) https://id.oclc.org/worldcat/entity/E39PD34txK8FfFVBhMhF49r7wP https://id.oclc.org/worldcat/ontology/hasWork Print version: Zobaa, Ahmed F. Computational intelligence applications in smart grids 9781783265879 (DLC) 2014039079 (OCoLC)894149505 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=942212 Volltext |
| spellingShingle | Zobaa, Ahmed F. Computational intelligence applications in smart grids : enabling methodologies for proactive and self organizing power systems / 1. Wide-area monitoring, protection and control needs, applications, and benefits / Vahid Madani, Damir Novosel and Roger King -- 2. A MINLP approach for network reconfiguration and dispatch in distribution systems / Sergio Bruno and Massimo La Scala -- 3. Multi-objective optimization methods for solving the economic emission dispatch problem / Balusu Srinivasa Rao and Kanchapogu Vaisakh -- 4. Voltage security assessment and optimal load shedding using the CBR approach / Narayan Prasad Patidar -- 5. A novel state estimation paradigm based on artificial dynamic models / Francesco Torelli and Alfredo Vaccaro -- 6. Improving voltage regulation in smart grids through adaptive fuzzy agents / Giovanni Acampora and Autilia Vitiello -- 7. Smart metering / Daniele Gallo [and others]. Smart power grids. http://id.loc.gov/authorities/subjects/sh2011003732 Computational intelligence. http://id.loc.gov/authorities/subjects/sh94004659 Réseaux électriques intelligents. Intelligence informatique. COMPUTERS General. bisacsh Computational intelligence fast Smart power grids fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh2011003732 http://id.loc.gov/authorities/subjects/sh94004659 |
| title | Computational intelligence applications in smart grids : enabling methodologies for proactive and self organizing power systems / |
| title_auth | Computational intelligence applications in smart grids : enabling methodologies for proactive and self organizing power systems / |
| title_exact_search | Computational intelligence applications in smart grids : enabling methodologies for proactive and self organizing power systems / |
| title_full | Computational intelligence applications in smart grids : enabling methodologies for proactive and self organizing power systems / Ahmed F Zobaa, Brunel University, UK, Alfredo F Vaccaro, University of Sannio, Italy. |
| title_fullStr | Computational intelligence applications in smart grids : enabling methodologies for proactive and self organizing power systems / Ahmed F Zobaa, Brunel University, UK, Alfredo F Vaccaro, University of Sannio, Italy. |
| title_full_unstemmed | Computational intelligence applications in smart grids : enabling methodologies for proactive and self organizing power systems / Ahmed F Zobaa, Brunel University, UK, Alfredo F Vaccaro, University of Sannio, Italy. |
| title_short | Computational intelligence applications in smart grids : |
| title_sort | computational intelligence applications in smart grids enabling methodologies for proactive and self organizing power systems |
| title_sub | enabling methodologies for proactive and self organizing power systems / |
| topic | Smart power grids. http://id.loc.gov/authorities/subjects/sh2011003732 Computational intelligence. http://id.loc.gov/authorities/subjects/sh94004659 Réseaux électriques intelligents. Intelligence informatique. COMPUTERS General. bisacsh Computational intelligence fast Smart power grids fast |
| topic_facet | Smart power grids. Computational intelligence. Réseaux électriques intelligents. Intelligence informatique. COMPUTERS General. Computational intelligence Smart power grids |
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