An Add-On Self-Tuning Control System for a UPFC Application

Malhotra, Urvi; Gokaraju, Ramakrishna

doi:10.1109/tie.2013.2272272

Cited by 50 publications

(27 citation statements)

References 17 publications

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“…In this paper, the dynamic model of the delta wing aircraft has the following form [27]: (16) whereϕ and p are aircraft roll angle (rad) and roll rate (rad/s), respectively. u is the control input (differential aileron).…”

Section: Simulation Resultsmentioning

confidence: 99%

Multiple model adaptive control using second level adaptation for a delta-wing aircraft

Ahmadian

Khosravi

Sarhadi

2015

International Journal of Intelligent Unmanned Systems

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Purpose – The purpose of this paper is to design a stable controller such that the control input is applied to the delta-wing aircraft in order to adjust the roll dynamics. The controller must provide a desired tracking performance with minimum tracking error. Design/methodology/approach – In this paper, the second level adaptation (SLA) strategy is applied to control a delta-wing aircraft using multiple models. The implemented control structure is compared with the first level adaptation (FLA) and model reference adaptive control (MRAC) techniques. Findings – SLA architecture not only copes with a wide uncertainty domain caused by aerodynamic effects, but also its rapid and accurate convergence is one of its most important features. Furthermore, this strategy makes a smoother control signal with respect to FLA and MRAC even at the same initial times. It should be also noted that SLA using three models, copes with uncertainty that may occur to the aircraft at high Angle Of Attacks (AOAs) at the entire flight envelope. Originality/value – In this paper for the first time the application of this strategy is used to identify and control a delta-wing aircraft. Furthermore a systematic block diagram approach is proposed for the design.

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Section: Simulation Resultsmentioning

confidence: 99%

Multiple model adaptive control using second level adaptation for a delta-wing aircraft

Ahmadian

Khosravi

Sarhadi

2015

International Journal of Intelligent Unmanned Systems

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“…But, it may become invalid if the system undergoes some thorough change, for example, power flow reversal of tie lines, as demonstrated in Figure 13c. Under such a circumstance, online adaptive coordination design [42][43][44] should be adopted to recover the validness of the strategy.…”

Section: Robustness Analysismentioning

confidence: 99%

Simultaneous Robust Coordinated Damping Control of Power System Stabilizers (PSSs), Static Var Compensator (SVC) and Doubly-Fed Induction Generator Power Oscillation Dampers (DFIG PODs) in Multimachine Power Systems

Zuo

Shi

et al. 2017

Energies

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Abstract:The potential of utilizing doubly-fed induction generator (DFIG)-based wind farms to improve power system damping performance and to enhance small signal stability has been proposed by many researchers. However, the simultaneous coordinated tuning of a DFIG power oscillation damper (POD) with other damping controllers is rarely involved. A simultaneous robust coordinated multiple damping controller design strategy for a power system incorporating power system stabilizer (PSS), static var compensator (SVC) POD and DFIG POD is presented in this paper. This coordinated damping control design strategy is addressed as an eigenvalue-based optimization problem to increase the damping ratios of oscillation modes. Both local and inter-area electromechanical oscillation modes are intended in the optimization design process. Wide-area phasor measurement unit (PMU) signals, selected by the joint modal controllability/ observability index, are utilized as SVC and DFIG POD feedback modulation signals to suppress inter-area oscillation modes. The robustness of the proposed coordinated design strategy is achieved by simultaneously considering multiple power flow situations and operating conditions. The recently proposed Grey Wolf optimizer (GWO) algorithm is adopted to efficiently optimize the parameter values of multiple damping controllers. The feasibility and effectiveness of the proposed coordinated design strategy are demonstrated through frequency-domain eigenvalue analysis and nonlinear time-domain simulation studies in two modified benchmark test systems. Moreover, the dynamic response simulation results also validate the robustness of the recommended coordinated multiple damping controllers under various system operating conditions.

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“…The UPFC proposed by Dr. Gyugyiin 1991, is the most flexible and powerful Flexible AC Transmission Systems (FACTS) device [5]- [8], which can provide an effective means to control the power flow, voltage and damping, and thus improve the transient stability of a power network. In the control of a UPFC series branch, both the active and reactive power flows in the transmission line are influenced through the series injected voltage as well as its phase angle [7], [8].…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…In the control of a UPFC series branch, both the active and reactive power flows in the transmission line are influenced through the series injected voltage as well as its phase angle [7], [8]. A fixed-parameter controller with classical control may thus not be effective for a UPFC [8], [9]. In such cases a flexible controller may be required, such as one based on neural networks [6], PSO [10] and robust control methodologies [11], in order to cope with system uncertainties and enhance the damping performance of a UPFC.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Design of a Novel Intelligent Damping Controller for UPFC in Power System Connected Offshore Wind Power Applications

Lin¹,

Lu²

2015

IJIRSET

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This paper proposes a unified power flow controller (UPFC)-based oscillation damping controller for use with a permanent magnet synchronous generator (PMSG)-based offshore wave farm (OWF). A novel intelligent damping controller (NIDC) was used to increase the stability of power control and improve the performance, where the proposed NIDC consists of the adaptive critic network, the Functional Link based Elman Neural Network (FLENN), and PID linear damping controller. The UPFC is used with the NIDC to OWF, which is connected to a single-machine infinite-bus to improve system stability. The PID damping controller is analysis of complex eigenvalues based on a theory of modal control. The node connecting weights of the FLENN and critic network are trained online. The proposed NIDC can be used to achieve better damping characteristics. The internal power fluctuations in the power system can also be effectively alleviated under variable wind power generation.

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An Add-On Self-Tuning Control System for a UPFC Application

Cited by 50 publications

References 17 publications

Multiple model adaptive control using second level adaptation for a delta-wing aircraft

Multiple model adaptive control using second level adaptation for a delta-wing aircraft

Simultaneous Robust Coordinated Damping Control of Power System Stabilizers (PSSs), Static Var Compensator (SVC) and Doubly-Fed Induction Generator Power Oscillation Dampers (DFIG PODs) in Multimachine Power Systems

Design of a Novel Intelligent Damping Controller for UPFC in Power System Connected Offshore Wind Power Applications

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