Application of improved point estimate method on multi-objective transmission network expansion planning

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

To consider the effects of uncertainties and correlations of wind power generation, this paper establishes a multi-objective transmission network expansion planning (TNEP) expected value model, and an improved point estimate method combined with NSGA II algorithm is proposed to solve this model. The presented method can transform the correlated wind speeds sampling space with Weibull distribution into an independent sampling space with standard normal distribution, so the traditional point estimate method can be applied to handle the correlated wind power generation uncertainties with high accuracy. To accelerate the calculation speed of the proposed method, a parallel computation technique is also applied when solving the proposed model. Finally, the effectiveness of the presented method is demonstrated by an application on a modified IEEE 24-bus system.

Original languageEnglish
Title of host publicationIEEE PES APPEEC 2016 - 2016 IEEE PES Asia Pacific Power and Energy Engineering Conference
PublisherIEEE Computer Society
Pages1038-1042
Number of pages5
ISBN (Electronic)9781509054183
DOIs
StatePublished - 9 Dec 2016
Event2016 IEEE PES Asia Pacific Power and Energy Engineering Conference, APPEEC 2016 - Xi'an, China
Duration: 25 Oct 201628 Oct 2016

Publication series

NameAsia-Pacific Power and Energy Engineering Conference, APPEEC
Volume2016-December
ISSN (Print)2157-4839
ISSN (Electronic)2157-4847

Conference

Conference2016 IEEE PES Asia Pacific Power and Energy Engineering Conference, APPEEC 2016
Country/TerritoryChina
CityXi'an
Period25/10/1628/10/16

Keywords

  • Correlations between wind farms
  • multi-objective optimization
  • parallel computation
  • point estimate method

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