Transmission and Energy Storage Co-Planning Expansion Considering Short-Term Uncertainties under Renewable Penetration

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

Abstract

In this paper, a Mixed Integer Linear Programming (MILP) model for dynamic Transmission Expansion Planning (TEP) is presented which is able to consider the impacts of Energy Storage (ES) devices under growing penetration of Renewable Energy Sources (RESs). The most important advantages of ES devices are improving RESs accommodation, mitigation of line overflow, and reducing the investment cost of transmission lines. To model the short-term uncertainties of wind power and load, a hierarchical clustering method considering time dependent parameter chronology is utilized. In the proposed model, a linear DC Optimal Power Flow (DC-OPF) with the capability to calculate hourly generation costs, is formulated. The IEEE RTS 24-Bus test system is studied to validate the effectiveness of the proposed model. The results confirm that considering ES devices in TEP problem, especially in the presence of RESs considering short-term uncertainties, can be beneficial.

Original languageEnglish
Title of host publication2022 30th International Conference on Electrical Engineering, ICEE 2022
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages609-613
Number of pages5
ISBN (Electronic)9781665480871
DOIs
Publication statusPublished - 2022
Externally publishedYes
Event30th International Conference on Electrical Engineering, ICEE 2022 - Tehran, Iran, Islamic Republic of
Duration: 17 May 202219 May 2022

Publication series

Name2022 30th International Conference on Electrical Engineering, ICEE 2022

Conference

Conference30th International Conference on Electrical Engineering, ICEE 2022
Country/TerritoryIran, Islamic Republic of
CityTehran
Period17/05/2219/05/22

Keywords

  • Energy Storage
  • Hierarchical Clustering
  • Optimal Power Flow
  • Renewable Energy Sources
  • Transmission Expansion Planning

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