Robust adaptive control of synchronous generators with SMES unit via Hamiltonian function method†

Li, Shuang; Wang, Y.

doi:10.1080/00207720601110566

Cited by 11 publications

(6 citation statements)

References 24 publications

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“…For simplicity, we use HIDA and LH to represent, respectively, the proposed H ∞ controller and the L 2 disturbance attenuation controller, which is designed by using the Hamiltonian function method in [11]. Moreover, the symbol TH is used to denote the controller, which is designed by applying the traditional Hamiltonian approach for power systems without considering external disturbances attenuation.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…In [10,11], an L 2 disturbance attenuation controller for generator excitation and SMES was proposed by using the Hamiltonian function method, but the interconnection between the mechanical, the electrical and the SMES dynamics was not established. The direct feedback linearisation (DFL) method was used to design a non-linear controller for generator excitation and SMES [6], but the stabilisation of the generator terminal voltage was not included.…”

Section: Introductionmentioning

confidence: 99%

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H _∞ control of single‐machine infinite bus power systems with superconducting magnetic energy storage based on energy‐shaping and backstepping

Wan

Zhao

2013

IET Control Theory & Applications

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This article studies the H ∞ control problem for single-machine infinite bus power systems with superconducting magnetic energy storage (SMES) via simultaneous design of generator excitation control and SMES control. In the control system design, the exciter dynamics and unknown external disturbances are considered for practical implementation in power systems. A new synthesis framework is proposed to address the robust control problem of power systems with SMES. First, from the energy perspective, the interconnection and damping assignment (IDA) approach is applied to improve the transient performance of power systems. Second, by introducing the idea of virtual control in the design process, the authors obtain the solution of a partial differential equation that is a crucial point and cannot be obtained by using the traditional IDA method. Third, in order to enhance the robustness of the closedloop system, the authors study the H ∞ control design that is challenging and difficult for power systems considering the above mentioned practical considerations. In addition, the authors use a novel equivalent generator model to avoid using unmeasurable infinite bus voltage. Simulation results also show the effectiveness and advantage of the proposed controller.

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Section: Simulation Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

H _∞ control of single‐machine infinite bus power systems with superconducting magnetic energy storage based on energy‐shaping and backstepping

Wan

Zhao

2013

IET Control Theory & Applications

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“…∀t ≥ 0. The power angle DOB is defined as two equations of (20) and (21). The closed-loop power angle tracking error dynamics are obtained by combining (18) and (19) as…”

Section: Power Angle Loopmentioning

confidence: 99%

“…The input-output FL and the adaptive control schemes may require the use of regulation error integrators with anti-windup algorithms so as to remove an offset-error. In [19][20][21][22], the use of an additional energy storage device such as superconducting magnetic energy storage was suggested to reduce the relative speed oscillation, which increases the cost of the controller implementation.…”

Section: Introductionmentioning

confidence: 99%

Proportional‐type non‐linear excitation controller with power angle reference estimator for single‐machine infinite‐bus power system

Kim

2019

IET Generation, Transmission & Distribution

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“…In Liu et al (2004), experimental evaluation for the nonlinear robust control of a SMES unit to enhance the transient stability of power systems was presented through a feedback linearization method and linear H ' control theory. Using a Hamiltonian function methodology, a robust adaptive controller of synchronous generators (SGs) with SMES (Li and Wang, 2007) was proposed to improve the system stability facing disturbances and unknown parameters. With the help of the Hamiltonian function method, Wang et al (2006) proposed an adaptive L 2 disturbance attenuation control of SGs with a SMES unit for multi-machine power systems.…”

Section: Introductionmentioning

confidence: 99%

Nonlinear generator excitation and superconducting magnetic energy storage control for transient stability enhancement via immersion and invariance

Kanchanaharuthai

Chankong

Loparo

2014

Transactions of the Institute of Measurement and Control

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This paper focuses on the design of nonlinear coordinated generator excitation and superconducting magnetic energy storage (SMES) control to enhance the transient stability of an electrical power system. An immersion and invariance (I&I) nonlinear control design technique is used to achieve power angle stability and frequency and voltage regulation, and to ensure that the closed-loop system is asymptotically stable. The main contributions of this paper are: (1) use of a generator excitation and SMES combination to improve transient stability, (2) demonstrating the applicability of nonlinear control theory (particularly the I&I methodology) for the design of a stabilizing (state) feedback controller in a single machine infinite bus system to enhance transient system performance and (3) developing a methodology that can employ the additional degree of freedom in power systems that include the combined excitation and SMES and advanced nonlinear control in a way that can further improve the dynamic transient performance of the system. In order to show the effectiveness of the proposed controller design, numerical simulation results are provided to illustrate the performance in maintaining stability and simultaneously achieving improvements in voltage regulation during small and large disturbances, and to show that our proposed nonlinear controller has more advantages by comparing it with the control performance of two existing nonlinear controllers and a conventional linear controller, in particular, feedback linearizing and coordinated passivation controllers, and a power system stabilizer (PSS), respectively.

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Robust adaptive control of synchronous generators with SMES unit via Hamiltonian function method†

Cited by 11 publications

References 24 publications

H _∞ control of single‐machine infinite bus power systems with superconducting magnetic energy storage based on energy‐shaping and backstepping

H _∞ control of single‐machine infinite bus power systems with superconducting magnetic energy storage based on energy‐shaping and backstepping

Proportional‐type non‐linear excitation controller with power angle reference estimator for single‐machine infinite‐bus power system

Nonlinear generator excitation and superconducting magnetic energy storage control for transient stability enhancement via immersion and invariance

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Robust adaptive control of synchronous generators with SMES unit via Hamiltonian function method†

Cited by 11 publications

References 24 publications

H ∞ control of single‐machine infinite bus power systems with superconducting magnetic energy storage based on energy‐shaping and backstepping

H ∞ control of single‐machine infinite bus power systems with superconducting magnetic energy storage based on energy‐shaping and backstepping

Proportional‐type non‐linear excitation controller with power angle reference estimator for single‐machine infinite‐bus power system

Nonlinear generator excitation and superconducting magnetic energy storage control for transient stability enhancement via immersion and invariance

Contact Info

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H _∞ control of single‐machine infinite bus power systems with superconducting magnetic energy storage based on energy‐shaping and backstepping

H _∞ control of single‐machine infinite bus power systems with superconducting magnetic energy storage based on energy‐shaping and backstepping