Design of Coordinated Decentralized Damping Controllers for Power Systems Considering Uncertainties

Author(s)

Bento, Murilo E. C. ^[1] ; Dotta, Daniel ^[2] ; Kuiava, Roman ^[3] ; Ramos, Rodrigo A. ^[1]

Affiliation

^[1] Univ Sao Paulo, Av Trabalhador Sao Carlense 400, BR-13566330 Sao Carlos, SP - Brazil

^[2] Univ Estadual Campinas, Av Albert Einstein 970, BR-13083852 Campinas, SP - Brazil

^[3] Univ Fed Parana, Rua Cel, BR-81531980 Curitiba, PR - Brazil

• Document type: Journal article
• Source: JOURNAL OF CONTROL AUTOMATION AND ELECTRICAL SYSTEMS; v. 29, n. 1, p. 22-31, FEB 2018.
• Web of Science Citations: 6

Abstract

This paper presents an analytical method based on the solution of the nonlinear Riccati equation for the design of coordinated, decentralized damping controllers for power systems. While other approaches use analytical methods that ensure robustness with respect to uncertainties in the system operating conditions by considering a controller of the same order as the plant, which results in high-order controller structures, the proposed method has the advantage of providing robust and decentralized low-order controllers. The method is applied to two IEEE benchmarks, and the designed controllers are assessed by modal analysis and nonlinear time-domain simulation. (AU)

• FAPESP's process: 15/02569-6 - Modeling, analysis and control of power systems operating with distributed generation
• Grantee: Rodrigo Andrade Ramos
• Support Opportunities: Regular Research Grants
• FAPESP's process: 15/24245-8 - Fast Method for Dynamic Security Analysis of Power System Considering Small-Signal and Voltage Stability
• Grantee: Murilo Eduardo Casteroba Bento
• Support Opportunities: Scholarships in Brazil - Doctorate
• FAPESP's process: 15/18806-7 - Synchronized phasor measurement applications for power systems with intermittent generation
• Grantee: Daniel Dotta
• Support Opportunities: Regular Research Grants
• 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