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Title: Co-optimizing Generation and Transmission Expansion with Wind Power in Large-Scale Power Grids Implementation in the US Eastern Interconnection

Abstract

This paper studies the generation and transmission expansion co-optimization problem with a high wind power penetration rate in the US Eastern Interconnection (EI) power grid. In this paper, the generation and transmission expansion problem for the EI system is modeled as a mixed-integer programming (MIP) problem. Our paper also analyzed a time series generation method to capture the variation and correlation of both load and wind power across regions. The obtained series can be easily introduced into the expansion planning problem and then solved through existing MIP solvers. Simulation results show that the proposed planning model and series generation method can improve the expansion result significantly through modeling more detailed information of wind and load variation among regions in the US EI system. Moreover, 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.

Authors:
 [1];  [2];  [2];  [3]
  1. University of Tennessee, Knoxville (UTK)
  2. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  3. University of Tennessee, Knoxville (UTK); Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1237158
Alternate Identifier(s):
OSTI ID: 1359093
Grant/Contract Number:  
AC05-00OR22725
Resource Type:
Accepted Manuscript
Journal Name:
Electric Power Systems Research
Additional Journal Information:
Journal Volume: 133; Journal ID: ISSN 0378-7796
Publisher:
Elsevier
Country of Publication:
United States
Language:
English
Subject:
17 WIND ENERGY; electric power optimization; capacity planning; wind transmission

Citation Formats

You, Shutang, Hadley, Stanton W., Shankar, Mallikarjun, and Liu, Yilu. Co-optimizing Generation and Transmission Expansion with Wind Power in Large-Scale Power Grids Implementation in the US Eastern Interconnection. United States: N. p., 2016. Web. doi:10.1016/j.epsr.2015.12.023.
You, Shutang, Hadley, Stanton W., Shankar, Mallikarjun, & Liu, Yilu. Co-optimizing Generation and Transmission Expansion with Wind Power in Large-Scale Power Grids Implementation in the US Eastern Interconnection. United States. doi:10.1016/j.epsr.2015.12.023.
You, Shutang, Hadley, Stanton W., Shankar, Mallikarjun, and Liu, Yilu. Tue . "Co-optimizing Generation and Transmission Expansion with Wind Power in Large-Scale Power Grids Implementation in the US Eastern Interconnection". United States. doi:10.1016/j.epsr.2015.12.023. https://www.osti.gov/servlets/purl/1237158.
@article{osti_1237158,
title = {Co-optimizing Generation and Transmission Expansion with Wind Power in Large-Scale Power Grids Implementation in the US Eastern Interconnection},
author = {You, Shutang and Hadley, Stanton W. and Shankar, Mallikarjun and Liu, Yilu},
abstractNote = {This paper studies the generation and transmission expansion co-optimization problem with a high wind power penetration rate in the US Eastern Interconnection (EI) power grid. In this paper, the generation and transmission expansion problem for the EI system is modeled as a mixed-integer programming (MIP) problem. Our paper also analyzed a time series generation method to capture the variation and correlation of both load and wind power across regions. The obtained series can be easily introduced into the expansion planning problem and then solved through existing MIP solvers. Simulation results show that the proposed planning model and series generation method can improve the expansion result significantly through modeling more detailed information of wind and load variation among regions in the US EI system. Moreover, 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.},
doi = {10.1016/j.epsr.2015.12.023},
journal = {Electric Power Systems Research},
number = ,
volume = 133,
place = {United States},
year = {2016},
month = {1}
}

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