Co-optimizing generation and transmission expansion with wind power in large-scale power grids - Implementation in the US Eastern Interconnection

Shutang You, Stanton W. Hadley, Mallikarjun Shankar, Yilu Liu

Research output: Contribution to journalArticlepeer-review

67 Scopus citations

Abstract

This paper studies the generation and transmission expansion co-optimization problem with a high wind power penetration rate in large-scale power grids. In this paper, generation and transmission expansion co-optimization is modelled as a mixed-integer programming (MIP) problem. A scenario creation method is proposed to capture the variation and correlation of both load and wind power across regions for large-scale power grids. Obtained scenarios that represent load and wind uncertainties can be easily introduced into the MIP problem and then solved to obtain the co-optimized generation and transmission expansion plan. Simulation results show that the proposed planning model and the scenario creation method can improve the expansion result significantly through modelling more detailed information of wind and load variation among regions in the US EI system. The improved expansion plan that combines generation and transmission will aid system planners and policy makers to maximize the social welfare in large-scale power grids.

Original languageEnglish
Pages (from-to)209-218
Number of pages10
JournalElectric Power Systems Research
Volume133
DOIs
StatePublished - Apr 1 2016

Funding

This work was supported primarily by the U.S. Department of Energy . This work was also supported by the Engineering Research Center Program of the U.S. National Science Foundation under NSF Award Number EEC-1041877 and the CURENT Industry Partnership Program . In addition, the authors would like to thank reviewers for their constructive comments on this paper.

Keywords

  • Generation and transmission co-optimized expansion
  • Mixed-integer programming (MIP)
  • Multiple regions
  • Scenario creation
  • Wind power

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