Reliability and risk evaluation of wind integrated power systems [electronic resource] / Roy Billinton, Rajesh Karki, Ajit Kumar Verma, editors.
Deals with reliability and evaluation of renewable energy based electricity generating schemes. Quantifies the wind power prediction for system planning and operation. Measures capacity benefit and capacity credit of wind and solar power systems. With the introduction of various types of incentives...
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Full Text (via Springer) |
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| Other Authors: | , , |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
New Delhi ; New York :
Springer,
©2013.
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| Series: | Reliable and sustainable electric power and energy systems management.
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| Subjects: |
MARC
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| 245 | 0 | 0 | |a Reliability and risk evaluation of wind integrated power systems |h [electronic resource] / |c Roy Billinton, Rajesh Karki, Ajit Kumar Verma, editors. |
| 260 | |a New Delhi ; |a New York : |b Springer, |c ©2013. | ||
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| 490 | 1 | |a Reliable and sustainable electric power and energy systems management. | |
| 505 | 0 | 0 | |t Determining Capacity Credit for Wind Used in MISO Resource Adequacy / |r Brandon Heath, Charles Tyson, John Lawhorn -- |t Wind Power Scenario Tree Tool: Development and Methodology / |r Colm Lowery, Mark O'Malley -- |t Probabilistic Ramp Detection and Forecasting for Wind Power Prediction / |r C. Ferreira, J. Gama, V. Miranda -- |t Application of Hourly Time Series Models in Day-ahead Wind Power Commitment / |r Suman Thapa, Rajesh Karki, Roy Billinton -- |t Probabilistic Guarantees for the N-1 Security of Systems with Wind Power Generation / |r Maria Vrakopoulou, Kostas Margellos -- |t Adequacy and Security Measures in Integrated Intermittent Renewable Generation Systems / |r Wijarn Wangdee, Roy Billinton, Wenyuan Li -- |t Representation of Wind and Load Correlation in Non-Sequential Monte Carlo Reliability Evaluation / |r Carmen L.T. Borges, Julio A.S. Dias -- |t Composite Reliability Assessment of Power Systems with Large Penetration of Renewable Sources / |r Armando M. Leite da Silva. |
| 504 | |a Includes bibliographical references. | ||
| 505 | 0 | 0 | |t Determining capacity credit for wind used in MISO resource adequacy / |r Brandon Heath, Charles Tyson and John Lawhorn -- |t Wind power scenario tree tool : development and methodology / |r Colm Lowery and Mark O'Malley -- |t Probabilistic ramp detection and forecasting for wind power prediction / |r C. Ferreira, J. Gama, V. Miranda and A. Botterud -- |t Application of hourly time series models in day-ahead wind power commitment / |r Suman Thapa, Rajesh Karki and Roy Billinton -- |t Probabilistic guarantees for the N-1 security of systems with wind power generation / |r Maria Vrakopoulou, Kostas Margellos, John Lygeros and Göran Andersson -- |t Adequacy and security measures in integrated intermittent renewable generation systems / |r Wijarn Wangdee, Roy Billinton and Wenyuan Li -- |t Representation of wind and load correlation in non-sequential Monte Carlo reliability evaluation / |r Carmen L.T. Borges and Julio A.S. Dias -- |t Composite reliability assessment of power systems with large penetration of renewable sources / |r Armando M. Leite da Silva, Luiz Antônio F. Manso, Silvan A. Flávio, Mauro A. da Rosa and Leonidas C. Resende. |
| 520 | |a Deals with reliability and evaluation of renewable energy based electricity generating schemes. Quantifies the wind power prediction for system planning and operation. Measures capacity benefit and capacity credit of wind and solar power systems. With the introduction of various types of incentives for renewable sources based electricity generation, the world is witnessing the rapid growth in wind, solar, biomass and other renewable based generation. Unlike electricity generation schemes based on conventional energy sources, wind power systems suffer from the uncertainty of wind availability and variability of the wind speed. In this regard, this volume intends to bring out the original research work of researchers from academia and industry in understanding, quantifying and managing the risks associated with the uncertainty in wind variability in order to plan and operate a modern power system integrated with significant proportion of wind power generation with an acceptable level of reliability. The accurate prediction of wind speed variability is very important for operation of electric power system in secure and safe environment and will play a crucial role in defining the requirement of various types of services such as ancillary services in the power system. This may also affect the electricity market strategy of conventional resources based power producers in the power market. | ||
| 650 | 0 | |a Wind power. |0 http://id.loc.gov/authorities/subjects/sh85146874. | |
| 650 | 0 | |a Wind power plants. |0 http://id.loc.gov/authorities/subjects/sh97003604. | |
| 650 | 7 | |a Wind power. |2 fast |0 (OCoLC)fst01175627. | |
| 650 | 7 | |a Wind power plants. |2 fast |0 (OCoLC)fst01175664. | |
| 700 | 1 | |a Billinton, Roy. |0 http://id.loc.gov/authorities/names/n82127232 |1 http://isni.org/isni/0000000110607330. | |
| 700 | 1 | |a Karki, Rajesh. |0 http://id.loc.gov/authorities/names/no2014034016. | |
| 700 | 1 | |a Verma, A. K. |q (Ajit Kumar) |0 http://id.loc.gov/authorities/names/no2007106898 |1 http://isni.org/isni/0000000047097656. | |
| 776 | 0 | 8 | |i Print version: |a Billinton, Roy. |t Reliability and Risk Evaluation of Wind Integrated Power Systems. |d Dordrecht : Springer, ©2013 |z 9788132209867. |
| 830 | 0 | |a Reliable and sustainable electric power and energy systems management. |0 http://id.loc.gov/authorities/names/no2013122250. | |
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