Linear Control Gain for Synthetic Inertia of a PMSG-Based Wind Turbine Generator

Kim, Ji Yon; Kang, Yong Cheol; Kim, Kyu‐Ho; Kim, Taekyun; Cho, Dong-Ho; Song, Seung-Ho; Kim, Suk-Cheol

doi:10.1007/s42835-022-01155-7

Cited by 3 publications

(2 citation statements)

References 17 publications

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“…To enhance the energy conversion efficiency of wind power generation systems, reduce energy costs, and minimize environmental pollution, the current focus in maximum power point tracking lies in the fixed pitch variable speed stage [7] . Several main methods are employed in this stage, including the disturbance observation method, optimal torque method, and blade tip speed ratio method [8] . These approaches aim to optimize the system's operation and ensure it operates at its maximum power point, thereby maximizing energy conversion efficiency and minimizing environmental impact [9] .…”

Section: Figure 1 Graph Of Wind Energy Utilization Coefficient C Vers...mentioning

confidence: 99%

Maximum Power Point Tracking Based on Wind Speed Prediction

Peng,

Wang,

Xie

et al. 2023

J. Phys.: Conf. Ser.

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A control method for MPPT (maximum power point tracking) based on wind speed prediction is proposed to address the issue of slow attainment of optimal speed values by wind turbines in variable wind speed conditions in the wind power system. Initially, the wind speed variation value is accurately estimated using the SSA-BP neural network based on historical wind speed data. Subsequently, the MPP (maximum power point) is calculated considering the optimal blade-tip speed ratio, thereby enhancing the tracking speed of the system. Simulation results demonstrate that this method enables real-time estimation of wind speed variation, improves wind energy utilization rate, and maximizes the utilization of wind energy.

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Section: Figure 1 Graph Of Wind Energy Utilization Coefficient C Vers...mentioning

confidence: 99%

Maximum Power Point Tracking Based on Wind Speed Prediction

Peng,

Wang,

Xie

et al. 2023

J. Phys.: Conf. Ser.

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“…The above research mainly focuses on the control of the frequency regulation characteristics of the power subsystem after adding clean energy into the multi-energy microgrid, or the research on the coordinated and optimized scheduling control of the grid primary frequency regulation and multi-energy microgrid by adding energy storage devices. In order to meet the inertia demand of the multi-energy microgrid system and improve the frequency cooperative support capability of the system, it is necessary to analyze the influencing factors of the inertia demand of the multi-energy microgrid cluster, and to realize the inertia frequency stability of the system through the coordination of multi-energy [16][17][18][19].…”

Section: Introductionmentioning

confidence: 99%

Frequency stability control method for multi-energy system considering storage characteristics and transmission inertia of hot and gas pipeline network

Zuo,

Teng,

Chen

2024

Sci. Tech. Energ. Transition

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The grid-connected capacity of renewable energy generation in multi-energy microgrid is increasing. This leads to a decrease in the inertia level in the microgrid, which has a great impact on the frequency stabilization control. This article proposes an adaptive control method for frequency control of inertia in multi-energy microgrids. Firstly, the system frequency fluctuation problem is addressed. Analyze the response characteristics of virtual inertia and the influence of physical inertia of rotating equipment on system frequency dynamics in multi-energy microgrid. Secondly, study the energy transfer characteristics of electric, thermal and gas systems in multi-energy microgrids. The energy coupling model between the subsystems in the multi-energy microgrid is established. And according to the difference of energy transmission time inertia of electric, heat and gas subsystems, the microgrid inertia response time model of different energy systems is established. Then, according to the energy balance stability criterion of multi-energy microgrid, combined with the current operating state of the system and the state of the higher-level distribution network, the fast response adaptive over-compensation control of multi-energy microgrid cluster is carried out to realize the inertia allocation in multi-energy microgrids. Finally, the proposed advanced frequency control method of multi-energy microgrid considering inertia demand is verified by simulation.

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