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Research on the impacts of grid-connected distributed photovoltaic on load characteristics of regional power system

机译:分布式光伏并网对区域电力系统负荷特性的影响研究

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摘要

Grid-connected distributed PV system has become an important utilization of solar energy, but it has adverse effects on the load characteristics, power quality and stability of regional power grids for its randomness and volatility. In order to reflect the influence of grid-connected distributed PV on the load characteristics of regional power grids accurately, three typical topologies of open distribution networks, closed distribution networks and radial distribution networks are selected for analysis. Based on the consideration of line power loss, the theoretical influence model is given. Finally, a numerical example is given to demonstrate the effectiveness of the proposed model, and suggestions are given on the location and capacity of the distributed PV accessed to grid.
机译:并网分布式光伏系统已成为太阳能的重要利用手段,但其随机性和易变性对区域电网的负荷特性,电能质量和稳定性产生不利影响。为了准确反映并网分布式光伏发电对区域电网负荷特性的影响,选择了开放式配电网,封闭式配电网和放射状配电网三种典型的拓扑结构进行分析。在考虑线路功率损耗的基础上,给出了理论影响模型。最后,通过数值算例验证了所提模型的有效性,并就分布式光伏接入电网的位置和容量提出了建议。

著录项

  • 来源
  • 会议地点 Singapore(SG)
  • 作者单位

    Electric Power Research Institute of Guangdong Power Grid Co., Ltd., Guangzhou, 510080, China;

    Electric Power Research Institute of Guangdong Power Grid Co., Ltd., Guangzhou, 510080, China;

    Guangdong Power Grid Co., Ltd., Guangzhou, 523008, China;

    Electric Power Research Institute of Guangdong Power Grid Co., Ltd., Guangzhou, 510080, China;

    Electric Power Research Institute of Guangdong Power Grid Co., Ltd., Guangzhou, 510080, China;

    Electric Power Research Institute of Guangdong Power Grid Co., Ltd., Guangzhou, 510080, China;

    Electric Power Research Institute of Guangdong Power Grid Co., Ltd., Guangzhou, 510080, China;

    Electric Power Research Institute of Guangdong Power Grid Co., Ltd., Guangzhou, 510080, China;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Artificial neural networks; XML;

    机译:人工神经网络; XML;
  • 入库时间 2022-08-26 14:00:15

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