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      Novel pair-wise relative energy function for transient stability analysis and real-time emergency control

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      1 , 2 , , 2 , 3 , 4
      IET Generation, Transmission & Distribution
      The Institution of Engineering and Technology
      power system transient stability, emergency management, risk management, pair-wise relative energy function, real-time emergency control, situation awareness, risk mitigation, large-scale power grids, real-time transient stability analysis, noncritical generator, critical generator, emergency control criterion, fault clearance, generation curtailment, equivalent post-fault system, relative energy oscillation trajectories, critical cluster, power system transient stability analysis, New England 10 machines 39-bus systems, New England 16 machines 68-bus systems

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          Abstract

          In recent years, situation awareness and risk mitigation have become the challenging issues in large-scale power grids. This study presents a novel pair-wise relative energy function for real-time transient stability analysis and emergency control. The proposed energy function is able to accurately identify the clusters of critical and non-critical generators significantly faster when compared with previous methods. Additionally, a new emergency control criterion is proposed in order to stabilise the identified critical generators within a comparatively short interval after fault clearance. The emergency control scheme computes the capacity of the requisite generation curtailment using the pre-calculated relative energy of the equivalent post-fault system. Finally, the relative energy oscillation trajectories that occur in the critical cluster are utilised in order to locate the most appropriate generator to launch the emergency control. When compared with the existing methods, it is evident that the novel approach can be applied practically for power systems transient stability analysis and emergency control. The effectiveness of the proposed method is demonstrated and evaluated using the New England 10 machines 39-bus and 16 machines 68-bus systems.

          Most cited references19

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          Causes of the 2003 Major Grid Blackouts in North America and Europe, and Recommended Means to Improve System Dynamic Performance

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            Support Vector Machine-Based Algorithm for Post-Fault Transient Stability Status Prediction Using Synchronized Measurements

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              Two-Step Spectral Clustering Controlled Islanding Algorithm

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                Author and article information

                Contributors
                Journal
                IET-GTD
                IET Generation, Transmission & Distribution
                IET Gener. Transm. Distrib.
                The Institution of Engineering and Technology
                1751-8687
                1751-8695
                10 July 2017
                21 August 2017
                21 December 2017
                : 11
                : 18
                : 4565-4575
                Affiliations
                [1 ] State Grid Sichuan Power Economic Research Institute , 366 West Shuxiu Road, High-Tech District, Chengdu 610041, People's Republic of China
                [2 ] School of Electrical Engineering and Information, Sichuan University , 24 First Ring Road, Wuhou District, Chengdu 610065, People's Republic of China
                [3 ] Department of Electronic and Computer Engineering, Brunel University London , Kingston Lane, Uxbridge Middlesex UB8 3PH, United Kingdom
                [4 ] GB System Capability Assessment, National Grid , Warwick CV34 6DA, UK
                Article
                IET-GTD.2016.1671 GTD.SI.2016.1671.R2
                10.1049/iet-gtd.2016.1671
                3b6f96a9-86f4-45ab-8748-a3b6d9f0d361

                This is an open access article published by the IET under the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/3.0/)

                History
                : 19 October 2016
                : 10 March 2017
                : 9 April 2017
                Page count
                Pages: 0
                Funding
                Funded by: National Natural Science Foundation of China
                Award ID: 51207098
                Award ID: 51437003
                Categories
                Special Issue: New Trends in Wide-Area Monitoring and Control of Power Systems with Large Scale Renewables

                Computer science,Engineering,Artificial intelligence,Electrical engineering,Mechanical engineering,Renewable energy
                generation curtailment,critical generator,situation awareness,New England 16 machines 68-bus systems,emergency management,critical cluster,risk mitigation,relative energy oscillation trajectories,large-scale power grids,real-time transient stability analysis,power system transient stability,equivalent post-fault system,noncritical generator,emergency control criterion,risk management,fault clearance,New England 10 machines 39-bus systems,pair-wise relative energy function,power system transient stability analysis,real-time emergency control

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