An Enhanced Markov Chain Monte Carlo-Integrated Cross-Entropy Method with a Partially Collapsed Gibbs Sampler for Probabilistic Spinning Reserve Adequacy Evaluation of Generating Systems-Reference-Cited by-同舟云学术

An Enhanced Markov Chain Monte Carlo-Integrated Cross-Entropy Method with a Partially Collapsed Gibbs Sampler for Probabilistic Spinning Reserve Adequacy Evaluation of Generating Systems

Published:2017-09-14 Issue:15 Volume:45 Page:1617-1628
ISSN:1532-5008
Container-title:Electric Power Components and Systems
language:en
Short-container-title:Electric Power Components and Systems

Author:

Wang Yue¹

Affiliation:

1. Department of Electrical Engineering, College of Information and Electrical Engineering, China Agricultural University, Beijing, China

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Energy Engineering and Power Technology

Link

https://www.tandfonline.com/doi/pdf/10.1080/15325008.2017.1404660

Reference20 articles.

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

2. Composite system spinning reserve assessment in interconnected systems

3. Reserve capacity assessment in small isolated electric power generating systems

4. Capacity reserve assessment using system well-being analysis

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