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A model-based approach for automatic validation of protection settings

Hong, Qiteng and Booth, Campbell D. and Catterson, Victoria M. and Dyśko, Adam (2015) A model-based approach for automatic validation of protection settings. In: Sixth Protection, Automation and Control World Conference (PAC World 2015), 2015-06-29 - 2015-07-03, Technology and Innovation Centre, University of Strathclyde.

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Hong_etal_PAC_2015_Model_based_approach_for_automatic_validation_of_protection_settings.pdf - Accepted Author Manuscript

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The reliable operation of protection systems depends on the correct setting of protective devices. Due to the increasing network complexity and the large number of protective devices (and their associated setting parameters), it is extremely laborious for engineers to manually validate the settings. Existing model-based (MB) systems that are capable of performing the validation task require significant manual input for network models creation, relay models configuration, simulation result analysis, etc., which is both time consuming and subject to human errors. This paper presents a methodology that adopts the principle of model-based reasoning (MBR) for automated validation of protection settings. Such a methodology is demonstrated through the design and implementation of a prototype tool Model-Based protection setting Smart Tool (MBST), which is capable of automatically populating network models, configuring relay models with settings to be validated, creating credible system events, and simulating the relays’ behaviour under these events. The automated process is achieved by an interface layer within MBST that allows interaction with a commercially available simulation engine to leverage its internal data and functions for the settings validation task. The simulated results are automatically analysed using a rule-based (RB) approach. The key advantage of the work is the mechanism to automate the entire settings validation process. The design of the interface layer to interact with existing simulation engine and models also demonstrates a solution for rapid prototyping of intelligent systems dedicated to validation of protection settings.