Microgrid is an important part of distributed energy system, its stability and reliability are very important to ensure the power supply in rural areas. Aiming at the problems such as low inertia, weak anti-disturbance ability and wide fluctuation of voltage/frequency of massive distributed resources in distribution network, this paper intends to study the adaptive distribution of rural virtual inertia, and establish a rural micro-grid transient model including photovoltaic, energy storage and controllable load to quantitatively depict the virtual inertia support demand of rural micro-grid. The main inertia supports of rural microgrid, photovoltaic and energy storage, are considered, and the virtual inertia of village-level microgrid is optimized based on genetic algorithm. In order to meet the demand for new energy consumption and active support, fill the technical shortcomings and gaps in massive distributed source load wide-area collaborative active support.

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Research on Optimal Distribution of Virtual Inertia of Village Microgrid Based on Genetic Algorithm

  • Yanni Liu,
  • Yixiao Wang,
  • Heng Liu,
  • Zhi Wu

摘要

Microgrid is an important part of distributed energy system, its stability and reliability are very important to ensure the power supply in rural areas. Aiming at the problems such as low inertia, weak anti-disturbance ability and wide fluctuation of voltage/frequency of massive distributed resources in distribution network, this paper intends to study the adaptive distribution of rural virtual inertia, and establish a rural micro-grid transient model including photovoltaic, energy storage and controllable load to quantitatively depict the virtual inertia support demand of rural micro-grid. The main inertia supports of rural microgrid, photovoltaic and energy storage, are considered, and the virtual inertia of village-level microgrid is optimized based on genetic algorithm. In order to meet the demand for new energy consumption and active support, fill the technical shortcomings and gaps in massive distributed source load wide-area collaborative active support.