A parallel approach for multi-contingency transient stability constrained optimal power flow

Large-scale multi-contingency transient stability optimal power flow (TSCOPF) is a hard problem due to its high computational intensity. This paper presents a new contingency-level parallel approach to solve TSCOPF on multi-core infrastructure. By utilizing the recursive reduced-order decoupling alg...

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Main Authors: Yude Yang, Wentai Liu, Jun Deng, Hui Liu, Hua Wei, Tingting Wang
Format: Conference Proceeding
Language:English
Subjects:
Generators
Mathematical model
Numerical stability
Power system stability
Thermal stability
Transient analysis
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Wentai Liu
Jun Deng
Hui Liu
Hua Wei
Tingting Wang
description Large-scale multi-contingency transient stability optimal power flow (TSCOPF) is a hard problem due to its high computational intensity. This paper presents a new contingency-level parallel approach to solve TSCOPF on multi-core infrastructure. By utilizing the recursive reduced-order decoupling algorithm, the proposed parallel implementation makes each contingency being handled independently on CPU cores. The approach is implemented in client-workers parallelism and reliefs computation burden by decomposing contingencies. Case studies show that this parallel approach reduces computational time and expands with ease as the number of contingencies increases.
doi_str_mv 10.1109/PESGM.2017.8274625
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subjects Generators
Mathematical model
Numerical stability
Power system stability
Thermal stability
Transient analysis
title A parallel approach for multi-contingency transient stability constrained optimal power flow
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