Stochastic integrated generation and transmission planning method with gradient radar step (GRS)

Guk Hyun Moon, Sung Kwan Joo, Don Hur, Hae Sung Jeong, Heon Su Ryu, Kang Wook Cho

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

This paper presents a stochastic optimization method to solve an integrated generation and transmission planning problem under uncertainty. The two-stage decomposition method is combined with gradient radar step (GRS) to enhance the computational efficiency. The numerical results are presented to validate the effectiveness of the proposed method.

Original languageEnglish
Title of host publicationTransmission and Distribution Conference and Exposition
Subtitle of host publicationAsia and Pacific, T and D Asia 2009
DOIs
Publication statusPublished - 2009 Dec 16
EventTransmission and Distribution Conference and Exposition: Asia and Pacific, T and D Asia 2009 - Seoul, Korea, Republic of
Duration: 2009 Oct 262009 Oct 30

Publication series

NameTransmission and Distribution Conference and Exposition: Asia and Pacific, T and D Asia 2009

Other

OtherTransmission and Distribution Conference and Exposition: Asia and Pacific, T and D Asia 2009
Country/TerritoryKorea, Republic of
CitySeoul
Period09/10/2609/10/30

Keywords

  • Gradient radar step
  • Integrated generation and transmission planning
  • Stochastic optimization

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Fuel Technology

Fingerprint

Dive into the research topics of 'Stochastic integrated generation and transmission planning method with gradient radar step (GRS)'. Together they form a unique fingerprint.

Cite this