NeuroFuzzy Wavelet Based Auxiliary Damping Controls for STATCOM

Dilshad, Saad; Abas, Naeem; Farooq, Haroon; Kalair, Ali Raza; Memon, Awais Ahmed

doi:10.1109/access.2020.3031934

Cited by 6 publications

(3 citation statements)

References 32 publications

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“…It is stable before the grid drops. For the purpose of further verifying the robustness of the RPFPNN proposed in this paper, an ANFMhWC [25] has been added to further verify its robustness.…”

Section: Case 2: the Fault Ride-through Performancementioning

confidence: 99%

“…Additionally, in interconnected wind and diesel power generation systems, a STATCOM combined with adaptive sliding mode (SM) control is used to compensate for reactive power in the system. In [25], to increase the dynamic stability of a single machine infinite bus power system with a STATCOM when disturbances occur, an improved backstepping strategy based on the error compensation principle, sliding mode variable structure control, and a fuzzy correction PI controller is proposed. An enhanced performance can be achieved using fuzzy probabilistic neural networks (FPNN), as described in the literature [26].…”

Section: Introductionmentioning

confidence: 99%

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Enhancing the Dynamic Stability of Integrated Offshore Wind Farms and Photovoltaic Farms Using STATCOM with Intelligent Damping Controllers

Lu,

Rao

2023

Sustainability

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To build a large-scale renewable energy integrated system in the power system, power fluctuation mitigation and damping measures must be implemented during grid connection. PID damping controllers and traditional intelligent controllers with pole configuration are usually used for improving damping. Integration of large wind power plants and photovoltaic power plants into the power system faces transient power oscillation and fault ride-through (FRT) capability under fault conditions. Therefore, this paper proposes a static synchronous compensator (STATCOM) damper based on a recurrent Petri fuzzy probabilistic neural network (RPFPNN) to improve the transient stability of the power system when large offshore wind farms and photovoltaic power plants are integrated into the power system, suppress power fluctuation, and increase FRT capability. To verify the effectiveness of the proposed control scheme, a three-phase short circuit fault at the connected busbar is modeled in the time domain as part of a nonlinear model. From the comparison of simulation results, the proposed control scheme can effectively slow down the transient fluctuation of power supply to the grid-connected point when the grid is faulty, reach steady-state stability within 1–1.5 s, and reduce overshoot by more than 50%. It can also provide system voltage support at an 80% voltage drop and assist in stabilizing the system voltage to increase FRT capability. It also improves stability more than PID controllers when disturbances are present. Therefore, it maximizes the stability and safety of the power grid system.

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Section: Case 2: the Fault Ride-through Performancementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Enhancing the Dynamic Stability of Integrated Offshore Wind Farms and Photovoltaic Farms Using STATCOM with Intelligent Damping Controllers

Lu,

Rao

2023

Sustainability

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“…Many of those approaches present different attributes according to the employed techniques. In [13], a mechanism of POD is based on auxiliary damping controllers defined by a wavelet neural network (WNN), which offers a reduced complexity due to the number of data used as well as its learning capability. In the same way, in [14], a multi-band controller is employed to deal with POD, which is a coordinated design and is optimized based on the operating conditions of the grid.…”

Section: Introductionmentioning

confidence: 99%

Power Grid Dynamic Performance Enhancement via STATCOM Data-Driven Control

et al. 2021

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This work proposes a data-driven approach to controlling the alternating current (AC) voltage via a static synchronous compensator (STATCOM). This device offers a fast dynamic response injecting reactive power to compensate the voltage profile, not only during load variations but also depending on the operating point established by the grid. The proposed control scheme is designed to improve the dynamic grid performance according to the defined operating point into the grid. The mathematical fundamentals of the proposed control strategy are described according to a (model-free) data-driven-based controller. The robustness of the proposed scheme is proven with several tests carried out using Matlab/Simulink software. The analysis is performed with the well-known test power system of two areas, demonstrating that the proposed controller can enhance the dynamic performance under transient scenarios. As the main strength of the present work with respect to the current state-of-the-art, we highlight the fact that no prior knowledge of the system is required for the controller implementation, that is, a model or a system representation. The synthesis of the controller is obtained in a pure numerical way from data, while it can simultaneously ensure stability in a rigorous way, by satisfying Lyapunov conditions.

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Load and Loss Estimation in Energy Deficient Polygeneration Utilities

Saleem,

Abas

2024

Springer Proceedings in Energy

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NeuroFuzzy Wavelet Based Auxiliary Damping Controls for STATCOM

Cited by 6 publications

References 32 publications

Enhancing the Dynamic Stability of Integrated Offshore Wind Farms and Photovoltaic Farms Using STATCOM with Intelligent Damping Controllers

Enhancing the Dynamic Stability of Integrated Offshore Wind Farms and Photovoltaic Farms Using STATCOM with Intelligent Damping Controllers

Power Grid Dynamic Performance Enhancement via STATCOM Data-Driven Control

Load and Loss Estimation in Energy Deficient Polygeneration Utilities

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