Jinghan He, Keao Chen, Meng Li, 等. Active injection protection scheme for flexible HVDC grids based on amplitude of input impedance[J]. 全球能源互联网(英文), 2021,4(6):532-542.
Jinghan He, Keao Chen, Meng Li, et al. Active injection protection scheme for flexible HVDC grids based on amplitude of input impedance[J]. Global Energy Interconnection, 2021, 4(6): 532-542.
Jinghan He, Keao Chen, Meng Li, 等. Active injection protection scheme for flexible HVDC grids based on amplitude of input impedance[J]. 全球能源互联网(英文), 2021,4(6):532-542.DOI: 10.1016/j.gloei.2022.01.002.
Jinghan He, Keao Chen, Meng Li, et al. Active injection protection scheme for flexible HVDC grids based on amplitude of input impedance[J]. Global Energy Interconnection, 2021, 4(6): 532-542.DOI: 10.1016/j.gloei.2022.01.002.
Active injection protection scheme for flexible HVDC grids based on amplitude of input impedance
High-voltage direct current (HVDC) grids require fast and reliable protection of the DC lines. The performance of traditional protection schemes is easily impaired by the limitations of the boundary condition and nonlinearity from the control of converters. One of the key technologies for flexible HVDC grids is the half-bridge modular multilevel converter (HB-MMC). Considering the high controllability of HB-MMC
this study proposes an active injection protection scheme to improve the reliability and sensitivity of the HVDC grid protection. The HB-MMC is used to inject a sinusoidal characteristic signal
at the specified frequency
into the DC lines. Then
the voltage and current at the specified frequency are extracted using the Prony algorithm to calculate the input impedance
which is used for the identification of internal and external faults. The active injection protection scheme was simulated for various cases in the simulation software Power Systems Computer Aided Design. The simulation results indicate that the proposed protection scheme is highly reliable and can overcome transition resistance.
Resilient adversarial-evolutionary multi-agent intelligence for real-time EV charging and energy trading in renewable-integrated smart grids
Distribution network data asset protection considering multiple topology and multi-dimensional knowledge graph
Forecasting the average daily and during the hours of maximum electric load based on the data of the average monthly electricity consumption with single and other energy sources
Research on benefit coordination mechanism in renewable energy multi-energy complementary systems
Negative electricity prices in electricity markets: causes, impacts,and response strategies