2018Unpublished venueRequires access

A New Algorithm Assessing the Transient Stability for Ranking the Power Network Areas in Large Power System

Luu HV Quang

Open publisher page 5 citations

Abstract

In this paper, we propose a new mathematical formula to calculate the transient energy margin under the condition of automatic line reclosing within the frame of the center of inertia of the power system and apply this new formula to build a new algorithm assessing the transient stability for ranking the power network areas in multi-machine power system, serving the power system expansion planning. The typical results and examples, which are shown in this paper, prove the advantage of new formula of transient energy margin.

About this research paper

What this paper is about

In this paper, we propose a new mathematical formula to calculate the transient energy margin under the condition of automatic line reclosing within the frame of the center of inertia of the power system and apply this new formula to build a new algorithm assessing the transient stability for ranking the power network areas in multi-machine power system, serving the power system expansion planning. The typical results and examples, which are shown in this paper, prove the advantage of new formula of transient energy margin.

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OpenAlex reports 5 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

In this paper, we propose a new mathematical formula to calculate the transient energy margin under the condition of automatic line reclosing within the frame of the center of inertia of the power system and apply this new formula to build a new algorithm assessing the transient stability for ranking the power network areas in multi-machine power system, serving the power system expansion planning. The typical results and examples, which are shown in this paper, prove the advantage of new formula of transient energy margin.

Key concepts: Transient (computer programming), Electric power system, Margin (machine learning), Ranking (information retrieval), Computer science, Power (physics), Algorithm, Frame (networking)

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