Stochastic generation scheduling with variable renewable generation: methods, applications, and future trends-Reference-Cited by-同舟云学术

Stochastic generation scheduling with variable renewable generation: methods, applications, and future trends

Published:2019-04-04 Issue:9 Volume:13 Page:1467-1480
ISSN:1751-8695
Container-title:IET Generation, Transmission & Distribution
language:en
Short-container-title:IET Generation, Transmission & Distribution

Author:

Tan Wen‐Shan¹,Shaaban Mohamed²^ORCID,Ab Kadir Mohd Zainal Abidin³

Affiliation:

1. School of EngineeringMonash University Malaysia, Jalan Lagoon Selatan46150Bandar SunwaySelangorMalaysia

2. Department of Electrical & Electronic EngineeringFaculty of EngineeringUniversiti Malaysia Sarawak94300Kota SamarahanSarawakMalaysia

3. Institute of Power EngineeringUniversiti Tenaga Nasional43000KajangSelangorMalaysia

Funder

Ministry of Higher Education, Malaysia

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.2018.6331

Reference165 articles.

1. Xiaohong G. Qiaozhu Z. Papalexopoulos A.: ‘Optimization based methods for unit commitment: Lagrangian relaxation versus general mixed integer programming’.Proc. IEEE Power Engineering Society General Meeting Toronto Ontario Canada 13–17 July2003 pp.1095–1100

2. Ott A.L.: ‘Evolution of computing requirements in the PJM market: past and future’.IEEE PES General Meeting Providence Rhode Island USA 25–29 July2010 pp.1–4

3. Dynamic Programming Approach to Unit Commitment

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