Probabilistic spinning reserve adequacy evaluation for generating systems using an Markov chain Monte Carlo‐integrated cross‐entropy method-Reference-Cited by-同舟云学术

Probabilistic spinning reserve adequacy evaluation for generating systems using an Markov chain Monte Carlo‐integrated cross‐entropy method

Published:2015-05 Issue:8 Volume:9 Page:719-726
ISSN:1751-8695
Container-title:IET Generation, Transmission & Distribution
language:en
Short-container-title:IET Generation, Transmission & Distribution

Author:

Wang Yue¹

Affiliation:

1. College of Information and Electrical EngineeringChina Agricultural UniversityBeijing100083People's Republic of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-gtd.2014.0763

Reference28 articles.

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2. Billinton R. Wangdee W.: ‘Aleatory uncertainty in power system reliability index assessment’.Advances in Risk and Reliability Technology Symp. 2013 pp.356

3. Application of Probability Methods to the Determination of Spinning Reserve Requirements for the Pennsylvania-New Jersey-Maryland Interconnection

4. Reliability Evaluation of Power Systems

5. Optimum evaluation of spinning reserve in a power system;Thapar O.D.;Irrigation Power,1977

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