Power system operation with high penetration of low inertia generation

• Grant number: 18/07375-3
• Support Opportunities: Scholarships abroad - Research
• Start date: August 20, 2018
• End date: February 19, 2019
• Field of knowledge: Engineering - Electrical Engineering - Power Systems
• Principal Investigator: Daniel Dotta
• Grantee: Daniel Dotta
• Host Investigator: Joe H. Chow
• Host Institution: Faculdade de Engenharia Elétrica e de Computação (FEEC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
• Institution abroad: Rensselaers Polytechnic Institute, United States
• Associated research grant: 16/08645-9 - Interdisciplinary research activities in electric smart grids, AP.TEM

Abstract

In recent years, the power system structure is changing with the incorporation of renewable generation, intensive use of new communications systems and devices that change the traditional power flow direction (large generation units to load centers). The main drive for these changes are the assimilation of information technology techniques to the power system operation, new generation sources (wind and solar), power electronic devices, large energy storage systems and demand response. In this new environment, small generation and storage units close to the load centers share the power supply with large generation units through smart systems. The main goal is to keep the high levels supply reliability with low economic and environmental cost. Regarding these changes, the assimilation of information technology to power system operation, through the Wide Area Measurement Systems (WAMS), and the intermittent generation such as wind and solar, compose the main research lines to be developed in this research project. The WAMS represents a new power system operation paradigm providing the physical structure for development of new applications for monitoring, control and protection. In Brazil, the independent system operators (ISO) proposed the ESTAL project aiming the installation of a PMU network and develop new monitoring applications. This WAMS, proposed by the ISO, already use data from 36 PMUs from three different TSO (Transmission System Operators) and 100 new PMUs will be installed in the next two years. The present project main goals are: a) modeling last generation devices and study the impact of high wind penetration in large power system; b) to develop new and trustable tools to measure the inertial constant of the power systems; c) develop and assess phasor measurement applications to improve the power system operation. The evaluation of the phasor measurement applications potential to improve the power system operational performance is the main contribution of this project. (AU)

Scientific publications

(8)

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

BENTO, MURILO E. C.; DOTTA, DANIEL; KUIAVA, ROMAN; RAMOS, RODRIGO A.. Robust design of coordinated decentralized damping controllers for power systems. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, v. 99, n. 5-8, p. 2035-2044, NOV 2018. (18/07375-3, 15/24245-8, 16/08645-9, 15/02569-6)

LUGNANI, LUCAS; PATERNINA, MARIO R. ARRIETA; DOTTA, DANIEL; CHOW, JOE H.; LIU, YILU. ower System Coherency Detection From Wide-Area Measurements by Typicality-Based Data Analysi. IEEE Transactions on Power Systems, v. 37, n. 1, p. 388-401, JAN 2022. (19/10033-0, 18/07375-3, 16/08645-9)

ARRIETA PATERNINA, MARIO R.; TRIPATHY, RAJESH KUMAR; ZAMORA-MENDEZ, ALEJANDRO; DOTTA, DANIEL. Identification of electromechanical oscillatory modes based on variational mode decomposition. Electric Power Systems Research, v. 167, p. 71-85, FEB 2019. (18/07375-3, 16/08645-9)

LUGNANI, LUCAS; DOTTA, DANIEL; LACKNER, CHRISTOPH; CHOW, JOE. ARMAX-based method for inertial constant estimation of generation units using synchrophasors. Electric Power Systems Research, v. 180, MAR 2020. (19/10033-0, 16/08645-9, 18/07375-3)

LUGNANI, LUCAS; DOTTA, DANIEL; PATERNINA, MARIO R. A.; CHOW, JOE; NORDSTROM, L; HOLJEVAC, N; KUZLE, I; IVANKOVIC, I; KEZUNOVIC, M; PAULONE, M; et al. Real-time Coherency Identification using a Window-Size-Based Recursive Typicality Data Analysis. 2022 INTERNATIONAL CONFERENCE ON SMART GRID SYNCHRONIZED MEASUREMENTS AND ANALYTICS - SGSMA 2022, v. N/A, p. 6-pg., 2022-01-01. (16/08645-9, 18/20104-9, 19/10033-0, 18/07375-3)

FERNANDES, LUCAS L.; JONES, MORGAN; ALBERTO, LUIS; PEET, MATTHEW; DOTTA, DANIEL. Combining Trajectory Data With Analytical Lyapunov Functions for Improved Region of Attraction Estimation. IEEE CONTROL SYSTEMS LETTERS, v. 7, p. 6-pg., 2022-06-30. (18/07375-3, 19/10033-0)

ORTIZ-BEJAR, JOSE; ZAMORA-MENDEZ, ALEJANDRO; LUGNANI, LUCAS; TELLEZ, ERIC; PATERNINA, MARIO R. ARRIETA. Power system coherency assessment by the affinity propagation algorithm and distance correlation. SUSTAINABLE ENERGY GRIDS & NETWORKS, v. 30, p. 11-pg., 2022-06-01. (16/08645-9, 19/10033-0, 18/07375-3)

BERNARDO, RAUL T.; CAMPESTRINI, LUCIOLA; OLIVEIRA, RICARDO C. L. F.; AQUINO, ANTONIO F. C.; DOTTA, DANIEL. A Data-driven Approach for the Design of Wide-Area Damping Controllers. JOURNAL OF CONTROL AUTOMATION AND ELECTRICAL SYSTEMS, v. 34, n. 5, p. 15-pg., 2023-08-08. (18/07375-3, 16/08645-9, 19/10033-0)