DC fault ride-through of MMC-HVDC-connected wind farm via optimized energy storage control
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TM721.1;TM614

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    Abstract:

    The Modular Multilevel Converter-based High Voltage Direct Current (MMC-HVDC) overhead line transmission scheme is susceptible to instantaneous DC faults,and utilizing the Energy Storage Units (ESUs) installed within each wind turbine to absorb unbalanced power during faults is an effective solution.However,existing literature often considers the wind farm as a single Wind Generator (WG),neglecting the differences in residual capacities among individual ESUs.This approach easily leads to overloading of ESUs with smaller residual capacities,while those with larger residual capacity still have unutilized reserve capacities,resulting in power imbalance during faults.To address these issues,this paper proposes a coordinated control strategy for DC fault ride-through based on optimized control of ESUs within WGs.The strategy adopts the variance of the State of Charge (SOC) as an indicator to quantitatively describe the differences in residual capacities of ESUs,and takes the maximum decline rate of SOC variance as the objective function.The residual unbalanced power after the conversion of non-fault pole converter station is optimally allocated to the ESUs within individual WGs,so as to reduce the differences of residual capacities while ensuring the power balance of the system during faults.A model is developed on the PSCAD/EMTDC simulation platform to compare the proposed optimized power allocation scheme with the traditional average allocation scheme.The results show that the optimized allocation scheme fully utilizes the power absorption capacities of ESUs,thereby improving the DC fault ride-through capability of the system.

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SUN Yinfeng, GUO Yuhang, LIANG Dong, HAN Bing, LI Lei, SHEN Tuo, MENG Fanxue. DC fault ride-through of MMC-HVDC-connected wind farm via optimized energy storage control[J]. Journal of Nanjing University of Information Science & Technology,2024,16(6):827-837

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History
  • Received:March 11,2024
  • Online: January 06,2025
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