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Robust transmission capacity margin evaluation based on All-Scenario-Feasible optimization

  • Xi'an Jiaotong University

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

3 Scopus citations

Abstract

A robust and effective evaluation method for the safety of optimal generation scheduling has great potential on optimizing operation of electrical power and energy system. Based on the concept of transmission capacity margin, a robust model of transmission capacity margin evaluation (TCME) is established to assess the overload risk of transmission lines when loads fluctuate. This TCME method can provide the system operators with useful information such as possibly overloaded lines and time periods when lines are potentially overloaded under the uncertainties of nodal loads. However, TCME formulation has a multi-level (min-max) structure and the solution methods are usually complicated. In order to overcome the computational complexity of original problem, an All-Scenario-Feasible optimization is utilized. It is established based on very limited scenarios while the solution is feasible to all scenarios. The proposed formulation is single-level rather than multi-level. So no iterative algorithms are needed and commercial solver like CPLEX could be directly adopted. In order to use the proposed formulation for large-scale power grid, considering that the transmission capacity constraint is the most important one in all problem constraints, we further reduce the number of scenarios. Numerical testing is also performed and the results show that the proposed formulation is effective.

Original languageEnglish
Title of host publicationProceedings of the 36th Chinese Control Conference, CCC 2017
EditorsTao Liu, Qianchuan Zhao
PublisherIEEE Computer Society
Pages10598-10603
Number of pages6
ISBN (Electronic)9789881563934
DOIs
StatePublished - 7 Sep 2017
Event36th Chinese Control Conference, CCC 2017 - Dalian, China
Duration: 26 Jul 201728 Jul 2017

Publication series

NameChinese Control Conference, CCC
ISSN (Print)1934-1768
ISSN (Electronic)2161-2927

Conference

Conference36th Chinese Control Conference, CCC 2017
Country/TerritoryChina
CityDalian
Period26/07/1728/07/17

Keywords

  • All-Scenario-Feasible
  • robust
  • transmission capacity margin

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