Active Energy Control for Enhancing AC Fault Ride-Through Capability of MMC-HVDC Connected With Offshore Wind Farms

Zhou, Hongyu; Yao, Wei; Zhou, Meng; Wen, Jinyu; Ai, Xiaomeng

doi:10.1109/tpwrs.2022.3179443

Cited by 25 publications

(10 citation statements)

References 34 publications

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“…This data-driven approach to turbine design can result in more efficient and dependable turbines, thus lowering the cost of wind energy and making it more competitive with other energy sources. 118,119 In summary, the use of AI can transform the wind energy sector by improving efficiency, dependability, and safety, while decreasing costs and GHG emissions. It can help in the development of a more sustainable and renewable energy system that benefits the environment and society.…”

Section: Applications Of Ai In Renewablementioning

confidence: 99%

“…AI algorithms can identify areas for improvement by analyzing data on wind patterns and turbine performance. This data-driven approach to turbine design can result in more efficient and dependable turbines, thus lowering the cost of wind energy and making it more competitive with other energy sources. , …”

Section: Introduction To Ai and Its Applications In Renewable Energymentioning

confidence: 99%

See 1 more Smart Citation

Potential of Explainable Artificial Intelligence in Advancing Renewable Energy: Challenges and Prospects

Nguyen,

Tarełko,

Sharma

et al. 2024

Energy Fuels

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Modern machine learning (ML) techniques are making inroads in every aspect of renewable energy for optimization and model prediction. The effective utilization of ML techniques for the development and scaling up of renewable energy systems needs a high degree of accountability. However, most of the ML approaches currently in use are termed black box since their work is difficult to comprehend. Explainable artificial intelligence (XAI) is an attractive option to solve the issue of poor interoperability in black-box methods. This review investigates the relationship between renewable energy (RE) and XAI. It emphasizes the potential advantages of XAI in improving the performance and efficacy of RE systems. It is realized that although the integration of XAI with RE has enormous potential to alter how energy is produced and consumed, possible hazards and barriers remain to be overcome, particularly concerning transparency, accountability, and fairness. Thus, extensive research is required to address the societal and ethical implications of using XAI in RE and to create standardized data sets and evaluation metrics. In summary, this paper shows the potential, perspectives, opportunities, and challenges of XAI application to RE system management and operation aiming to target the efficient energy-use goals for a more sustainable and trustworthy future.

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Section: Applications Of Ai In Renewablementioning

confidence: 99%

Section: Introduction To Ai and Its Applications In Renewable Energymentioning

confidence: 99%

Potential of Explainable Artificial Intelligence in Advancing Renewable Energy: Challenges and Prospects

Nguyen,

Tarełko,

Sharma

et al. 2024

Energy Fuels

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show abstract

“…Bipolar MMC-HVDC system with offshore wind power GSMMC converter station is to hold a consistent DC voltage and provide a certain amount of reactive power support as required by the onshore grid. Both GSMMC poles adopt fixed DC voltage and fixed reactive power control, controlling the DC voltage stability and reactive power balance at this level [10]. To reduce the negative sequence component during the fault, the negative sequence loop shall be controlled by negative sequence current suppression.…”

Section: Wfmmc1 Gsmmc1 Wfmmc2 Gsmmc2mentioning

confidence: 99%

Inter-pole Cooperative Control Strategy for True Bipolar MMC-HVDC System with Offshore Wind Power

Chen,

Zhong,

Zhang

et al. 2023

J. Phys.: Conf. Ser.

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For offshore wind power via a true bipolar MMC-HVDC delivery system, when both poles of the offshore converter stations adopt fixed AC voltage and fixed frequency control (referred to as fixed V/f control), the converter stations are connected to the same bus and control the same target, resulting in unstable operation of the system. Therefore, this paper proposes an inter-pole cooperative control strategy for a true bipolar MMC-HVDC system with offshore wind power. One pole of the offshore converter station adopts fixed V/f control to supply stable AC voltage to the offshore AC system, and the other pole adopts inter-pole cooperative control to achieve balanced power distribution between the two poles, thus improving the system power transmission margin and reducing power losses. Finally, a simulation project is established on the PSCAD/EMTDC to confirm the usefulness of the inter-pole cooperative control strategy.

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“…Modular multilevel converters are extensively utilized in high-voltage direct current (HVDC) transmission systems owing to their modularity [1,2], extensibility [3,4], and favorable output performance [5][6][7]. Two operational modes are identified for MMC-HVDC projects: grid-connected mode and standalone mode [8,9].…”

Section: Introductionmentioning

confidence: 99%

Stability Enhancement Method of Standalone Modular Multilevel Converters Based on Impedance Reshaping

Zheng,

Hua,

Yang

et al. 2024

Energies

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Modular multilevel converters (MMCs) are susceptible to subsynchronous oscillations (SSOs) caused by impedance interactions in the power line. Current research into the stability of MMCs focuses mainly on voltage feed-forward control, while the effect of current feed-forward control is neglected. This paper proposes a current feed-forward compensation method based on impedance reshaping for standalone MMCs. Initially, an impedance model was developed to identify the stability risks caused by the interaction between the MMC and power line impedance. The proposed method feeds the current compensation signal into the modulation circuit, thereby improving the control signal and suppressing the impedance interaction between the MMC and the power line. The analysis of the harmonic state space (HSS) method verifies that the proposed approach effectively reduces the negative damping region in the frequency band where the SSO is located. Additionally, the impedance frequency scanning method confirms the accuracy of impedance modeling. Using the MATLAB/Simulink platform and StarSim HIL hardware-in-the-loop experimental platform, the SSO phenomenon of the MMC is simulated, and the results show that the proposed method can effectively suppress harmonic currents during SSO, which verifies the accuracy of the stability analysis and the feasibility of the proposed method.

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Active Energy Control for Enhancing AC Fault Ride-Through Capability of MMC-HVDC Connected With Offshore Wind Farms

Cited by 25 publications

References 34 publications

Potential of Explainable Artificial Intelligence in Advancing Renewable Energy: Challenges and Prospects

Potential of Explainable Artificial Intelligence in Advancing Renewable Energy: Challenges and Prospects

Inter-pole Cooperative Control Strategy for True Bipolar MMC-HVDC System with Offshore Wind Power

Stability Enhancement Method of Standalone Modular Multilevel Converters Based on Impedance Reshaping

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