Real Time Simulation of IEEE 9 Bus System for Fault Analysis Using Transient Response

Singh, Ankit; Thakur, Ritula

doi:10.1007/978-981-13-3143-5_11

Cited by 1 publication

(1 citation statement)

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“…But in some cases there may be chances of overrun due to the constraint of fixed time step Ts, when the time required to perform the calculation is more than the Ts and real time simulation may miss the synchronization. The HIL based real time simulation has been used effectively in various power system application such as DFIG control [25], grid integration [26], multilevel converter control [27], Fault analysis in IEEE-9 bus system [28], analysis of IEEE-5 bus system [29], and stator fault improvement in PMSM [30].…”

Section: Introductionmentioning

confidence: 99%

Optimal Design of Fractional Order Vector Controller Using Hardware-in-Loop (HIL) and Opal RT for Wind Energy System

Karad,

Thakur,

Alotaibi

et al. 2024

IEEE Access

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In this paper, a fractional order active (P) and reactive (Q) power controller of doubly fed induction generator (DFIG) is developed and it performance is demonstrated using hardware in loop (HIL) testing with Opal RT OP4510 real-time platform. The DFIG in this paper is modelled using real-time State Space Nodal (SSN) based solver. The Rotor Side Converter (RSC) and doubly fed induction machine are implemented using Opal-RT's ARTEMiSnodal admittance-based SSN solver which uses smaller time steps than the conventional algorithms to facilitate real-time hardware-in-loop performance analysis of the system. The MATLAB-based FOMCON platform is utilized for designing the proposed fractional order controller. The proposed controller is developed and tested for various dynamic conditions. The performance of conventional proportional integral control and proposed fractional order control using Opal-RT's OP4510 real-time platform is compared. The experimental results demonstrate improved efficiency with the use of proposed fractional order controller.INDEX TERMS State Space Nodal (SSN) Solver, Field oriented control, fractional order controller, optimal control.

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