王金岩, 丁坤, 孙亚璐, 王湘, 董海鹰. 强沙尘暴下新能源基地的韧性评估及其提升方法[J]. 电网技术, 2025, 49(1): 124-135. DOI: 10.13335/j.1000-3673.pst.2024.0182
引用本文: 王金岩, 丁坤, 孙亚璐, 王湘, 董海鹰. 强沙尘暴下新能源基地的韧性评估及其提升方法[J]. 电网技术, 2025, 49(1): 124-135. DOI: 10.13335/j.1000-3673.pst.2024.0182
WANG Jinyan, DING Kun, SUN Yalu, WANG Xiang, DONG Haiying. Research on Resilience Assessment and Improvement Methods of New Energy Bases Under Strong Sandstorm[J]. Power System Technology, 2025, 49(1): 124-135. DOI: 10.13335/j.1000-3673.pst.2024.0182
Citation: WANG Jinyan, DING Kun, SUN Yalu, WANG Xiang, DONG Haiying. Research on Resilience Assessment and Improvement Methods of New Energy Bases Under Strong Sandstorm[J]. Power System Technology, 2025, 49(1): 124-135. DOI: 10.13335/j.1000-3673.pst.2024.0182

强沙尘暴下新能源基地的韧性评估及其提升方法

Research on Resilience Assessment and Improvement Methods of New Energy Bases Under Strong Sandstorm

  • 摘要: 我国沙漠戈壁荒漠地区风光资源禀赋,能源和负荷逆向分布,因此开展沙戈荒地区大型新能源基地开发,和交直流混联电网的大规模输电具有重要的意义。沙戈荒地区沙尘暴极端天气频发,对新能源发电基地集中式开发、远距离安全稳定外送造成严重影响。首先量化沙尘暴的2种致灾因素对新能源基地的影响,建立反映沙尘和新能源出力、强风和线路故障率关系的数学模型,利用蒙特卡洛抽样结合系统信息熵选取典型故障场景并构建恢复模型,根据运行情况得到系统韧性曲线,考虑系统受灾全过程,采用层次分析法(analytical hierarchy process,AHP)建立韧性评估指标;其次从规划角度给出韧性提升方法,以最小化线路和储能的等效年投资成本和系统失负荷成本为目标,建立面向韧性提升的线路扩建和储能配置联合规划模型,将其转化为混合整数线性规划(mixed integer linear programming,MILP)问题,求解得出新能源基地线路扩建方案与储能最优配置;最后以改进的IEEE36节点系统为例进行仿真分析,对比采取提升措施前后的韧性指标,验证所提韧性评估和提升方法的有效性和准确性。

     

    Abstract: The natural endowments of wind and solar resources in the desert and Gobi Desert areas of our country, as well as the reverse distribution of energy and load, make it of great significance to develop large-scale new energy bases and large-scale transmission of AC/DC hybrid power grids in the desert and Gobi Desert areas. The frequent occurrence of extreme sandstorms in the desert and Gobi Desert areas has seriously affected the centralized development and long-distance safe and stable transmission of new energy power generation bases. This article first quantifies the impact of two disaster-causing factors of sandstorms on new energy bases, establishes a mathematical model that reflects the relationship between sandstorms and new energy output, strong winds, and line failure rates, uses Monte Carlo sampling combined with system information entropy to select typical fault scenarios and construct a recovery model, obtains the system elasticity curve based on operating conditions, considers the entire process of system disaster, and adopts the Analytic Hierarchy Process (AHP) method Establish elasticity evaluation indicators; Secondly, a flexible improvement method is proposed from a planning perspective, to minimize the equivalent annual investment cost of the line and energy storage and the system's loss of load cost. A joint planning model for line expansion and energy storage configuration for flexible improvement is established, which is transformed into a mixed integer linear programming (MILP) problem, and the expansion plan of the new energy baseline and the optimal configuration of energy storage are solved. Finally, taking the improved IEEE36 node system as an example for simulation analysis, the elasticity indicators before and after adopting improvement measures are compared to verify the effectiveness and accuracy of the proposed elasticity evaluation and improvement methods.

     

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