Litcius/Paper detail

A Hybrid Particle Swarm Optimization Algorithm for the Wide-Area Damping Control Design

Murilo E. C. Bento

2021IEEE Transactions on Industrial Informatics104 citationsDOI

Abstract

The presence of low-frequency and low-dampened oscillation modes can compromise the operating stability of power systems. Recent research has shown that the use of phasor measurement units data to compose a wide-area damping controller (WADC) has been shown to be effective in mitigating such oscillation modes but the possibility of loss of communication channels due to cyber-attacks or failures can compromise the proper operation of this controller. Besides, traditional control design methods present difficulties for the WADC control design. This article proposes a method based on hybrid particle swarm optimization in order to design a WADC that ensures robustness to power system-operating uncertainties, time delays variations on the WADC channels, and the permanent failure of the WADC communication channels. Modal analysis and nonlinear time-domain simulations were conducted in the IEEE 68-bus power system considering a set of scenarios.

Topics & Concepts

Particle swarm optimizationRobustness (evolution)Control theory (sociology)PhasorElectric power systemComputer scienceEngineeringNonlinear systemFrequency domainControl engineeringPower (physics)Control (management)AlgorithmArtificial intelligenceComputer visionQuantum mechanicsGenePhysicsBiochemistryChemistryPower System Optimization and StabilityHVDC Systems and Fault ProtectionSmart Grid Security and Resilience