2003•Unpublished venueOpen access

Transient stability-constrained optimal power flow

Arlan Luiz Bettiol, Daniel Ruiz‐Vega, Damien Ernst, Louis A. Wehenkel, Mania Pavella

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Abstract

This paper proposes a new approach able to maximize the interface flow limits in power systems and to find a new operating state that is secure with respect to both, dynamic (transient stability) and static security constraints. It combines the maximum allowable transfer (MAT) method, recently developed for the simultaneous control of a set of contingencies, and an optimal power flow (OPF) method for maximizing the interface power flow. The approach and its performances are illustrated by means of simulations carried out on a real world power system.

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What this paper is about

This paper proposes a new approach able to maximize the interface flow limits in power systems and to find a new operating state that is secure with respect to both, dynamic (transient stability) and static security constraints. It combines the maximum allowable transfer (MAT) method, recently developed for the simultaneous control of a set of contingencies, and an optimal power flow (OPF) method for maximizing the interface power flow. The approach and its performances are illustrated by means of simulations carried out on a real world power system.

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OpenAlex reports 33 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

This paper proposes a new approach able to maximize the interface flow limits in power systems and to find a new operating state that is secure with respect to both, dynamic (transient stability) and static security constraints. It combines the maximum allowable transfer (MAT) method, recently developed for the simultaneous control of a set of contingencies, and an optimal power flow (OPF) method for maximizing the interface power flow. The approach and its performances are illustrated by means of simulations carried out on a real world power system.

Key concepts: Transient (computer programming), Control theory (sociology), Stability (learning theory), Power flow, Computer science, Electric power system, Power (physics), Interface (matter)

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