A Procedure for the Estimation of Frequency Response using a Data-Driven Method

Author(s)

Pinheiro, Bruno ; Lugnani, Lucas ; Dotta, Daniel ; IEEE

• Document type: Journal article
• Source: 2021 IEEE POWER & ENERGY SOCIETY GENERAL MEETING (PESGM); v. N/A, p. 5-pg., 2021-01-01.

Abstract

In this work, we propose a procedure for frequency-response estimation using an ARMAX data-driven methodology and synchrophasors. The main goal is to estimate the key parameters that drive the frequency response of a synchronous generator using low-order models. The main advantages of low-order models are: not necessary to have previous knowledge of the high-order models of a particular generator and reduction of the computational burden in the identification methodology. Two low-order models are evaluated for inertial (first-order) and primary (second-order) frequency response and their respective parameters. The methodology is applied to a two-machine one load system to analyze the results obtained. (AU)

• FAPESP's process: 18/20104-9 - Wide-area monitoring, dynamic security analysis and control of modern power system networks
• Grantee: Luís Fernando Costa Alberto
• Support Opportunities: Research Projects - Thematic Grants
• FAPESP's process: 19/08200-5 - Identifying power system events using a long short-term memory neural network
• Grantee: Orlem Lima dos Santos
• Support Opportunities: Scholarships abroad - Research Internship - Master's degree
• FAPESP's process: 16/08645-9 - Interdisciplinary research activities in electric smart grids
• Grantee: João Bosco Ribeiro do Val
• Support Opportunities: Research Projects - Thematic Grants
• FAPESP's process: 19/10033-0 - Development of data-driven metodology for improvement of pperation of EPS with high penetration of wind/solar generation
• Grantee: Daniel Dotta
• Support Opportunities: Regular Research Grants
• FAPESP's process: 17/25425-5 - Analysis of artificial neural networks methodologies for event classification using Synchrophasors
• Grantee: Orlem Lima dos Santos
• Support Opportunities: Scholarships in Brazil - Master