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Power distribution automation /
Utilities around the world are under increasing pressure to provide reliable and good quality power supply to their retail customers, and to reduce their operational costs. These concerns call for real time monitoring and control of the distribution system, which can be accomplished by deploying dis...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
London :
Institution of Engineering and Technology,
2016.
|
| Colección: | IET power and energy series ;
75. |
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 020 | |z 9781849198288 |q (hardback) | ||
| 020 | |z 1849198284 |q (hardback) | ||
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| 245 | 0 | 0 | |a Power distribution automation / |c edited by Biswarup Das. |
| 264 | 1 | |a London : |b Institution of Engineering and Technology, |c 2016. | |
| 300 | |a 1 online resource (x, 339 pages) : |b illustrations. | ||
| 336 | |a text |b txt |2 rdacontent | ||
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| 338 | |a online resource |b cr |2 rdacarrier | ||
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| 490 | 1 | |a IET power and energy series ; |v 75 | |
| 588 | 0 | |a Print version record. | |
| 504 | |a Includes bibliographical references and index. | ||
| 520 | |a Utilities around the world are under increasing pressure to provide reliable and good quality power supply to their retail customers, and to reduce their operational costs. These concerns call for real time monitoring and control of the distribution system, which can be accomplished by deploying distribution automation (DA) systems, a key enabling technology for smart grids. This book provides a detailed description of all the major components of a DA system, including communication infrastructure and analysis tools. Topics covered include communication systems for distribution automation; load flow analysis; short circuit analysis; state estimation; feeder reconfiguration for loss reduction, service restoration, and load balancing; volt-var control; fault location; fault type identification; and economic analysis/cost benefit analysis. Concluding with an international case study (Enexis, one of the major Distribution System Operators in The Netherlands) showing how DA has been implemented in practice, this book is essential reading for researchers and advanced students working in power engineering and practitioners engaged in distribution automation, such as utility engineers, vendors, and consultants. | ||
| 505 | 0 | 0 | |t Communication systems for distribution automation -- |t Load flow analysis -- |t Short-circuit analysis -- |t Choice of solver for distribution sysstem state estimation -- |t Feeder reconfiguration for loss reduction -- |t Service restoration in dsitribution system -- |t Feeder reconfiguration for load balancing -- |t Volt/VAR control in distribution systems -- |t Fault location -- |t Fault detection and classification in distribution network -- |t Economic analysis/cost-benefit analysis -- |t Distribution in automation at Enexis : a case study. |
| 590 | |a Knovel |b ACADEMIC - Electrical & Power Engineering | ||
| 650 | 0 | |a Distributed generation of electric power. | |
| 650 | 6 | |a Électricité |x Production |x Génération répartie. | |
| 650 | 7 | |a TECHNOLOGY & ENGINEERING |x Mechanical. |2 bisacsh | |
| 650 | 7 | |a Distributed generation of electric power |2 fast | |
| 650 | 7 | |a cost-benefit analysis. |2 inspect | |
| 650 | 7 | |a fault location. |2 inspect | |
| 650 | 7 | |a load flow. |2 inspect | |
| 650 | 7 | |a power distribution economics. |2 inspect | |
| 650 | 7 | |a voltage control. |2 inspect | |
| 700 | 1 | |a Das, Biswarup |c (Electrical engineer), |e editor. | |
| 776 | 0 | 8 | |i Print version: |a Das, Biswarup. |t Power distribution automation. |d [Place of publication not identified] : Inst Of Engin And Tech, 2016 |z 1849198284 |w (OCoLC)928782087 |
| 830 | 0 | |a IET power and energy series ; |v 75. | |
| 856 | 4 | 0 | |u https://appknovel.uam.elogim.com/kn/resources/kpPDA00011/toc |z Texto completo |
| 880 | 8 | |6 505-00/(S |a 5.7.2. Membership function for maximum node voltage deviation (μVi) -- 5.7.3. Optimization in fuzzy environment -- 5.7.4. Heuristic rules to minimize the number of tie switch operations and algorithm -- 4.6.1. Computation of α for various estimators -- 7.5.1. Problem analysis and energy function construction -- 7.5.2. Energy function construction for the ADSCHNN -- 7.5.3. Particle swarm optimization -- 7.4.1. Heuristic method -- 7.4.2. Newton-Raphson-based solution method -- 7.4.3. Fuzzy logic-based load balancing -- 7.4.4. Neural network-based method -- 7.4.5. Adding decaying self-feedback continuous Hopfield neural network method -- 9.5.1. Fault location method without requiring fault type -- 9.5.2. Fault location method based on the information of fault type -- 10.5.1. DS evidence fusion -- 10.5.2. Fault classification scheme -- 10.5.3. Simulation test and conclusion -- 10.4.1. Classification rules based on ANFIS -- 10.4.2. ANFIS classifiers -- 10.4.3. Test simulation and conclusion -- 9.6.1. Sample calculations -- 9.6.2. Discussions on the presented fault location algorithms -- 10.2.1. Information source of fault classification -- 10.2.2. Scope of fault processing -- 10.3.1. Abstract -- 10.3.2. Methods of fault processing -- 10.6.1. Introduction to S transform -- 10.6.2. Faulty feeder selection method based on S transform -- 10.6.3. Simulation test and conclusion -- 11.3.1. FA functions -- 11.3.2. Distribution analysis functions -- 11.3.3. Customer management functions -- 12.2.1. Risk analysis -- 12.2.3. DA concept -- 12.5.1. Acceptance by workforce -- 12.5.3. Changing company processes -- 12.5.4. Required knowledge and education -- 12.3.1. Availability of components -- 12.3.3. Preparation of large-scale roll-out -- 12.6.2. CML savings -- 12.6.3. Other advantages -- 12.4.2. MV/MV substations. | |
| 880 | 8 | |6 505-00/(S |a 1.3. Communication system model -- 1.4. Continuous-wave modulation techniques -- 1.5. Digital modulation techniques -- 1.6. Multiplexing -- 1.6.1. Frequency division multiplexing -- 1.6.2. Orthogonal frequency division multiplexing -- 1.6.3. Time division multiplexing -- 1.5.1. Amplitude shift keying -- 1.5.2. Binary phase-shift keying -- 1.5.3. Binary frequency-shift keying -- 1.5.4. Continuous-phase frequency-shift keying -- 1.4.1. Amplitude modulation -- 1.4.2. Angle modulation -- 1.8.1. Telephone system -- 1.8.2. Mobile phone network -- 1.8.3. Trunked radio system -- 1.8.5. Satellite communication system -- 1.8.6. Wireless sensor network -- 1.8.7. Wireless data networks -- 1.8.8. Wireless mesh network -- 1.8.9. Wireless automated meter reading system -- 1.7.1. Twisted pair cable -- 1.7.2. Coaxial cable -- 1.7.3. Power line communication -- 1.7.4. Fiber-optic cable -- 1.7.5. Wireless channel -- 2.1.1. Detailed algorithm -- 2.1.2. Illustrative example -- 2.3.1. Detailed algorithm -- 2.2.1. Detailed algorithm for unbalanced system -- 2.2.2. Illustrative example for unbalanced system -- 3.3.1. Single line to ground fault -- 3.3.2. Double line to ground fault -- 3.3.3. Triple line to ground fault -- 3.3.4. Line to line fault -- 3.2.1. Single line to ground fault -- 3.2.2. Double line to ground fault -- 3.2.3. Triple line to ground fault -- 3.2.4. Line to line fault -- 4.4.1. State variables -- 4.4.4. Simulation results -- 4.4.5. Comments on error distribution and choice of solver -- 4.3.1. Measurement model -- 4.3.3. WLAV estimator -- 3.4.1. Results for 6-bus radial distribution system -- 3.4.2. Results for 6-bus meshed distribution system -- 3.4.3. Results for 36-bus radial distribution system -- 4.2.1. Bias -- 4.2.2. Consistency -- 4.2.3. Quality -- 5.7.1. Membership function for real power loss reduction (μLi). | |
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