This textbook examines the basic concepts and applications of Monte Carlo simulation. Chapters focus on the practical applications of Monte Carlo simulation in reliability evaluation of electric power generation, transmission, and distribution systems. This text is an important contribution to undergraduate and graduate courses on reliability evaluation of general engineering systems and its specialized areas.
Reliability Assessment of Electrical Power Systems Using...
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Inside This Book
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First Sentence:
The primary function of an electric power system is to provide electrical energy to its customers as economically as possible and with an acceptable degree of continuity and quality. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
system adequacy assessment, customer damage functions, bus load uncertainty, load level steps, reliability worth assessment, power system reliability evaluation, annualized indices, curtailment philosophy, service continuity statistics, load point indices, tie line capacities, ith generating unit, load level model, bus indices, correlation sampling technique, derated states, component state transition processes, curtailment philosophies, hourly load points, transmission component outages, adequacy indices, tabulating technique, extreme emergency state, regional weather effects, duration sampling method Key Phrases - Capitalized Phrases (CAPs): (learn more)
Monte Carlo, New York, Electric Power Systems, Application of Probability Methods, University of Saskatchewan, Committee Report, Lognormal Repair, Expected Demand Not Supplied, Expected Number of Load Curtailments, Canadian Electrical Association, Contributions of Each Load Step, Numerical Example, Probabilistic Methods Applied, Recognition of Entire, System Area, Working Group, Completely Index, Final Report, Hour Figure, Independent Correlated, Load Growth Alternate System, Reliability Evaluation of Engineering Systems, Winter Meeting New!
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
The primary function of an electric power system is to provide electrical energy to its customers as economically as possible and with an acceptable degree of continuity and quality. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
system adequacy assessment, customer damage functions, bus load uncertainty, load level steps, reliability worth assessment, power system reliability evaluation, annualized indices, curtailment philosophy, service continuity statistics, load point indices, tie line capacities, ith generating unit, load level model, bus indices, correlation sampling technique, derated states, component state transition processes, curtailment philosophies, hourly load points, transmission component outages, adequacy indices, tabulating technique, extreme emergency state, regional weather effects, duration sampling method Key Phrases - Capitalized Phrases (CAPs): (learn more)
Monte Carlo, New York, Electric Power Systems, Application of Probability Methods, University of Saskatchewan, Committee Report, Lognormal Repair, Expected Demand Not Supplied, Expected Number of Load Curtailments, Canadian Electrical Association, Contributions of Each Load Step, Numerical Example, Probabilistic Methods Applied, Recognition of Entire, System Area, Working Group, Completely Index, Final Report, Hour Figure, Independent Correlated, Load Growth Alternate System, Reliability Evaluation of Engineering Systems, Winter Meeting New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 26
books:
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- Power System Reliability Evalu by Roy Billinton on 7 pages
- Reliability Assessment of Large Electric Power Systems (Power Electronics and Power Systems) by Roy Billinton on 5 pages
- Reliability Evaluation of Power Systems by R.N. Allan on 4 pages
- Reliability Evaluation of Engineering Systems: Concepts and Techniques by Roy Billinton on 4 pages
- Simulation and the Monte Carlo Method (Wiley Series in Probability and Statistics) by Reuven Y. Rubinstein on page 72, and Back Matter
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