Improved robust adaptive backstepping control approach on STATCOM for non‐linear power systems

Su, Qingyu; Quan, Wanzhen; Quan, Weiwei; Cai, Guowei; Li, Jian

doi:10.1049/iet-gtd.2017.0335

Cited by 16 publications

(13 citation statements)

References 26 publications

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“…From (29), it can be seen that system (13) has L 2 gain from the disturbance to its output, which proves that the designed control method can ensure that the FESR system has the robust disturbance suppression capability. Simulation studies are conducted in the following section to show the effectiveness of the designed controller.…”

Section: B Proof Of System Robustnessmentioning

confidence: 84%

Improved Adaptive Robust Control for Low Voltage Ride-Through of Front-End Speed Regulation Wind Turbine

Dong

Chen

et al. 2020

IEEE Access

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This paper proposes a low voltage ride-through (LVRT) control method for the front-end speed regulation (FESR) wind turbine based on an improved adaptive robust control (IARC) to find the solution of the generator parameter variation by grid voltage dip and enhance the LVRT capability of the FESR. First, the FESR system mathematical models and the control objective of LVRT are analyzed. Then, in the improved adaptive robust controller, the Lyapunov function for three subsystems and the energy function of the system are constructed. The excitation control law and parameter replacement law of the system are obtained by the error compensation term and additional control variable. The method makes the energy function satisfy the dissipation inequalities to guarantee the stability and ability to suppress disturbance of the system. To verify the effectiveness of the proposed control method, the proposed IARC is compared with the predictive fuzzy PID (PFPID) by time-domain simulations under different fault conditions. The results show that the proposed IARC can not only realize the rapid regulation of reactive power and effective resistance to grid voltage fluctuations but also improve robustness and transient stability of the system and enhance the LVRT performance of the FESR during the grid voltage dip. INDEX TERMS Front-end speed regulation (FESR) wind turbine, grid voltage dip, low voltage ride-through, adaptive robust control.

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Section: B Proof Of System Robustnessmentioning

confidence: 84%

Improved Adaptive Robust Control for Low Voltage Ride-Through of Front-End Speed Regulation Wind Turbine

Dong

Chen

et al. 2020

IEEE Access

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“…In the early stage, the linear control method [10] ignores the uncertainty in system modeling, and its design of parameters are not robust, when system changes. To solve the shortcomings of the linear control method, adopting nonlinear control methods to design the system has become a popular research subject in recent years, such as the target holographic feedback method, fuzzy control theory [11], sliding mode variable control method [12], passive control method [13], Hamiltonian theory [14], and adaptive backstepping method [15]. Among the above control methods, the adaptive backstepping method, as a simple and effective nonlinear control method, has been widely used in designing the coordinated controller of excitation and STACOM, achieving good results [15].…”

Section: Introductionmentioning

confidence: 99%

“…To solve the shortcomings of the linear control method, adopting nonlinear control methods to design the system has become a popular research subject in recent years, such as the target holographic feedback method, fuzzy control theory [11], sliding mode variable control method [12], passive control method [13], Hamiltonian theory [14], and adaptive backstepping method [15]. Among the above control methods, the adaptive backstepping method, as a simple and effective nonlinear control method, has been widely used in designing the coordinated controller of excitation and STACOM, achieving good results [15]. e designed controller based on the adaptive backstepping method [15] can only estimate a single parameter, and this algorithm has poor estimation ability for a single parameter.…”

Section: Introductionmentioning

confidence: 99%

An Improved Adaptive Passive Coordinated Control for Generator Excitation and STATCOM

Zhang

Yuan-hui

et al. 2021

Mathematical Problems in Engineering

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An improved adaptive backstepping passive coordinated control strategy is proposed to deal with the uncertainty of damping coefficient and mechanical power and external disturbance on the system stability. A nonlinear coordinated controller of generator excitation and STATCOM (static synchronous compensator) is designed to improve its adaptability. The adaptive estimation laws of damping coefficient and mechanical power are designed by using I&I (immersion and invariance) adaptive control to improve the adaptive ability of the controller. Based on the backstepping recursive method, the control law of STATCOM is designed and combines the passivity theory, thus acquiring the control law of generator excitation. In the backstepping design, the derivative of the virtual control input and external disturbance are considered to be uncertain, and the nonlinear damping algorithm is introduced to reduce the “calculation explosion.” Simulation results show that the designed controller improves the stability of the power system and shows strong adaptability and robustness.

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“…[2] surveyed the enabling technologies for Smart Grid. The authors of [3][4][5] analyzed the stability of nonlinear power systems based on backstepping control approaches. The optimal control and management for a large-scale battery energy storage system with wind and photovoltaic power station is introduced in [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Distributed Absorption and Half-Search Approach for Economic Dispatch Problem in Smart Grids

Zhang

et al. 2019

Energies

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The economic dispatch problem (EDP) is a significant class of optimization issues in the power system, which works on minimizing the total cost when generating a certain amount of power. A novel distributed approach for EDP is proposed in this paper. The presented approach consists of two steps. The first step, named absorption search, is to simplify the network structure through absorption searching. A flooding-based consensus approach is applied in the first step, which can be used to achieve consensus information among nodes. After the first step, only the generation nodes are kept in the network. The data collection can be completed by local computation and communication between neighbors. The first step can be considered as the stage of gathering information. In the second step, a distributed half-search algorithm makes the nodes obtain the final optimal solution in a distributed way. The results on three case studies demonstrate that the proposed approach is highly effective for solving the EDP.

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Improved robust adaptive backstepping control approach on STATCOM for non‐linear power systems

Cited by 16 publications

References 26 publications

Improved Adaptive Robust Control for Low Voltage Ride-Through of Front-End Speed Regulation Wind Turbine

Improved Adaptive Robust Control for Low Voltage Ride-Through of Front-End Speed Regulation Wind Turbine

An Improved Adaptive Passive Coordinated Control for Generator Excitation and STATCOM

Distributed Absorption and Half-Search Approach for Economic Dispatch Problem in Smart Grids

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