基于复杂网络与电气特性的风电光伏并网脆弱性分析
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陕西理工大学

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TM727

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国家自然科学基金项目(面上项目,重点项目,重大项目),国家社科基金重大项目


Vulnerability Analysis of Wind Power and Photovoltaic Integration Based on Complex Network and Electrical Characteristics
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Shaanxi University of Technology

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    摘要:

    为保障新能源大规模并网后电力系统的安全稳定运行,量化评估并网前后电网的脆弱性十分必要,为此,提出一种基于复杂网络和电气特性的复合新能源电网脆弱性分析方法,以IEEE-39节点为例仿真。首先,选取度中心性、接近中心性、特征向量中心性、电气潮流介数、电压稳定以及功率平衡等指标构建了电网脆弱性评价体系,根据公式对各二级指标进行求解;其次,利用熵权法求解指标权重,运用TOPSIS法对并网前后节点的脆弱程度进行排序,并作对比分析;最后,运用障碍因子模型分析各指标对电网脆弱性的影响程度。研究结果表明:新能源并网的数量以及位置影响着电网的脆弱性,电网脆弱性影响因素中,影响力排序为电压稳定性指标>接近中心性指标>有功功率平衡指标。

    Abstract:

    In order to ensure the safe and stable operation of the power system after large-scale grid-connection of new energy, it is necessary to quantitatively assess the vulnerability of the power grid before and after grid-connection. Therefore, a composite new energy power grid vulnerability analysis method based on complex networks and electrical characteristics is proposed, and the IEEE-39 node is simulated. Firstly, a vulnerability assessment system is constructed by selecting degree centrality, proximity centrality, eigenvector centrality, electric power flow interval, voltage stability and power balance, and then solving each secondary index according to the formula. Secondly, entropy weight method is used to calculate the index weight, TOPSIS method is used to rank the vulnerability of nodes before and after grid connection, and comparative analysis is made. Finally, the obstacle factor model is used to analyze the influence degree of each index on the vulnerability of power grid. The research results indicate that the number and location of new energy sources connected to the grid affect the vulnerability of the power grid. Among the influencing factors of grid vulnerability, the order of influence is voltage stability indicator > closeness centrality indicator > active power balance indicator.

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田京京,邢康. 基于复杂网络与电气特性的风电光伏并网脆弱性分析[J]. 科学技术与工程, , ():

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  • 收稿日期:2024-04-11
  • 最后修改日期:2024-06-05
  • 录用日期:2024-06-08
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