Economic outage scheduling of transmission line for long-term horizon under demand and wind scenarios

Conference paper (2018)

Authors

S.R. Khuntia Intelligent Electrical Power Grids - EEMCS
A. Joseph Intelligent Electrical Power Grids - EEMCS
José L. Rueda Intelligent Electrical Power Grids - EEMCS
P. Palensky Intelligent Electrical Power Grids - EEMCS
Research Group
Intelligent Electrical Power Grids (EEMCS) (TU Delft)
Copyright: © 2018 Raunak R. Kulkarni, S.R. Khuntia, A. Joseph, José L. Rueda, P. Palensky
DOI: https://doi.org/10.1109/ISGTEurope.2018.8571701
Benders decomposition Demand and wind scenarios Long-term horizon Outage scheduling Transmission line scheduling
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Published Date

2018

Language

English

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Electrical Sustainable Energy

Research Group

Intelligent Electrical Power Grids

Abstract

A substantial increase in renewable energy in-feed to the primary grid as well as demand growth poses a challenge for transmission system operators (TSOs) to perform maintenance activities while addressing security of supply. A computationally efficient outage scheduling algorithm which is customizable in terms of area and time selection is proposed in this paper. Benders decomposition approach under different demand and wind scenarios, spanning two-stage stochastic programming approach is used. An accurate schedule while fulfilling both maintenance and network constraints is validated on a modified IEEE RTS-24 bus system in GAMS environment. A cost comparison analysis is also performed in this study.