Horizontal Decomposition-based Stochastic Day-ahead Reliability Unit Commitment Conference Paper

abstract

• This paper presents a progressive hedging (PH) based decomposition algorithm to improve the computational efficiency of stochastic day-ahead reliability unit commitment (RUC). Stochastic programming is introduced into RUC to facilitate a better decision making for market operation efficiency and energy supply reliability. However, the computational burden of stochastic RUC using today's computing power is still significant. We propose to apply progressive hedging (PH) algorithm to decompose the stochastic RUC problem. It is shown that a PH-based algorithm allows parallel computation of stochastic RUC, which can be much faster than conventional stochastic programming methods. A practical power system is used to verify the effectiveness of the proposed computation framework. 2013 IEEE.

name of conference

• 2013 IEEE Power & Energy Society General Meeting

authors

• Xie, Le

published proceedings

• 2013 IEEE POWER AND ENERGY SOCIETY GENERAL MEETING (PES)

author list (cited authors)

• Gu, Y. G., Wang, X., & Xie, L. e.

citation count

• 1

complete list of authors

• Gu, Yingzhong Gary||Wang, Xing||Xie, Le

publication date

• January 2013

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

published in

• IEEE Power and Energy Society General Meeting  Journal

keywords

• Day-ahead Market
• Decision-making Under Uncertainty
• Reliability Unit Commitment
• Stochastic Programming

Digital Object Identifier (DOI)

• 10.1109/pesmg.2013.6672264

International Standard Book Number (ISBN) 13

• 9781479913039

start page

• 1

end page

• 5

URL

• http://dx.doi.org/10.1109/pesmg.2013.6672264

user-defined tag

• 7 Affordable and Clean Energy