Analysis and implementation of virtual impedance for fixed‐frequency control strategy in microgrid

Qian, Haiya; Xu, Qingshan; Xia, Yuanxing; Zhao, Jun; Du, Pengwei

doi:10.1049/gtd2.12176

Cited by 10 publications

(6 citation statements)

References 35 publications

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“…They also designed an impedance and internal controller method that balances stability constraints and power quality. This control method could effectively improve the dynamic response and stability of the system (Qian et al, 2021). In specific environmental protection areas, large yachts cannot be anchored using traditional mooring systems and require the use of DPC systems.…”

Section: Related Workmentioning

confidence: 99%

Intelligent control algorithm for dynamic positioning control system

Guan

2024

Front. Mech. Eng.

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Introduction: The dynamic positioning system resists the environmental forces such as wind, wave and current acting on the ship through the thruster, so that the ship can remain in the position required by the sea level as much as possible, and the operation is very convenient. But its current dynamic positioning ability can not meet people's needs.Methods: A Kalman filter based on untracked optimization was designed for dynamic positioning control system. Then the intelligent control algorithm is designed for the dynamic positioning top-level controller and thrust optimal distribution controller, which occupy an important position in the system, namely the adaptive weight variation particle swarm optimization algorithm and thrust optimal distribution algorithm.Results and Discussion: The average position error of three degrees of freedom after filter processing is 1.53 m. Compared with other mainstream controllers, the mean root error of controllers based on adaptive weight variation particle swarm optimization in environment A and B is 2.295 and 1.8 m, respectively. In environment C, the controller based on thrust optimization allocation algorithm can get the optimal solution when the full rotary thruster reaches the 7 s and the channel thruster reaches the 4 s. The thrust exclusion zone is crossed at 46 s in environment D. In the dynamic positioning capability curve of the system, the experimental hull can balance the different environmental loads at all angles. In summary, the intelligent control algorithm proposed in this paper can effectively improve the positioning ability of the dynamic positioning control system and meet the needs of people for ship navigation today.

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Section: Related Workmentioning

confidence: 99%

Intelligent control algorithm for dynamic positioning control system

Guan

2024

Front. Mech. Eng.

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“…[ [243][244][245] Power Flow Determines the minimum operating costs considering the limitations of the DGUs.…”

Section: Primary Virtual Impedancementioning

confidence: 99%

A Comprehensive Review on Power-Quality Issues, Optimization Techniques, and Control Strategies of Microgrid Based on Renewable Energy Sources

Hernández-Mayoral,

Madrigal-Martínez,

Mina-Antonio

et al. 2023

Sustainability

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Microgrids (MGs) are systems that cleanly, efficiently, and economically integrate Renewable Energy Sources (RESs) and Energy Storage Systems (ESSs) to the electrical grid. They are capable of reducing transmission losses and improving the use of electricity and heat. However, RESs presents intermittent behavior derived from the stochastic nature of the renewable resources available on site. This can cause power-quality issues throughout the electrical grid, which can be solved by different optimization techniques and/or control strategies applied to power converters. This paper offers a detailed review of the literature regarding three important aspects: (i) Power-quality issues generated in MGs both in islanded mode and grid-connected mode; (ii) Optimization techniques used in the MGs to achieve the optimal operating conditions of the Energy Management System (EMS); and (iii) Control strategies implemented in the MGs to guarantee stability, mitigation of power-quality issues, power balance, and synchronization with the grid. It is worth mentioning that in this paper, we emphasize hybrid MGs (HMGs) since they combine the benefits of AC–MGs and DC–MGs while increasing system reliability. As the utility grid moves toward an optimal design of MG structures, this paper will serve as a foundation for future research, comparative analysis, and further development of novel techniques regarding HMGs.

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“…In the AC-DC hybrid microgrid, there are significant fluctuations and random characteristics due to the output power of renewable energy. The output of some subnets is excessive, while the output of another subnet is insufficient, which will affect the safe and stable operation of the two subnets [7][8][9]. Therefore, it is necessary to optimize the power output of distributed renewable energy so that the AC and current sub-grids can support each other in energy, so as to reduce the power fluctuation of each sub-grid and improve the power quality of the hybrid microgrid.…”

Section: Hybrid Energy Storage Multi-microgrid Structurementioning

confidence: 99%

Power adaptive control of hybrid energy storage multi-microgrid based on edge computing

Luo¹,

Huang²,

Lai³

et al. 2023

Third International Conference on Digital Signal and Computer Communications (DSCC 2023)

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In a microgrid, paralleling multiple bidirectional interface converters can effectively improve the power exchange capability on both sides of the microgrid. However, the power adaptive control problem of paralleling multiple bidirectional interface converters significantly increases the difficulty of microgrid control. The access to the energy storage system can buffer the power fluctuations of the microgrid and reduce the difficulty of power control. In order to ensure the stable operation of the microgrid and improve the power adaptive control accuracy, a hybrid energy storage multi-microgrid power adaptive control method based on edge computing is proposed. The structure of hybrid energy storage multi-microgrid is analyzed, and an automatic management platform for hybrid energy storage multi-microgrid is constructed based on edge computing technology. On this basis, the DC sub-network bus voltage regulation is introduced to adjust the frequency of the reference output voltage of the interface converter to complete the adaptive control of the power exchange on both sides of the AC-DC hybrid microgrid. It is considered to connect the energy storage system in the hybrid microgrid, and realize the power adaptive control of the hybrid energy storage multi-microgrid through power exchange control and autonomous power frequency division adaptive control. The experimental results show that the hybrid energy storage multi-microgrid power control effect of the proposed method is better, and the active power control error is small. It can effectively ensure the stable operation of the hybrid energy storage multi-microgrid and improve the power adaptive control accuracy.

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Analysis and implementation of virtual impedance for fixed‐frequency control strategy in microgrid

Cited by 10 publications

References 35 publications

Intelligent control algorithm for dynamic positioning control system

Intelligent control algorithm for dynamic positioning control system

A Comprehensive Review on Power-Quality Issues, Optimization Techniques, and Control Strategies of Microgrid Based on Renewable Energy Sources

Power adaptive control of hybrid energy storage multi-microgrid based on edge computing

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