文章摘要
李德智,龚桃荣,吴俊涛,宫建锋,于东民.基于熵值模糊层次分析法的碳化硅负荷接入位置对电网影响评估[J].电力需求侧管理,2024,26(2):41-48
基于熵值模糊层次分析法的碳化硅负荷接入位置对电网影响评估
Evaluation of the impact of silicon carbide load connection location on the power grid based on entropy fuzzy analytic hierarchy process
投稿时间：2023-11-10  修订日期：2024-01-08
DOI：10. 3969 / j. issn. 1009-1831. 2024. 02. 007
中文关键词: 熵值模糊层次分析法  高载能负荷  接入电网影响  指标体系  综合评价
英文关键词: entropy fuzzy analytic hierarchy process  high-energy loads  impact of connection with the power grid  index system  comprehensive evaluation
基金项目:国家电网有限公司总部科技项目（5108-20221820A-2-242-XG）
作者单位
李德智 需求侧多能互补优化与供需互动技术北京市重点实验室（中国电力科学研究院有限公司）,北京 100192 
龚桃荣 需求侧多能互补优化与供需互动技术北京市重点实验室（中国电力科学研究院有限公司）,北京 100192 
吴俊涛 南昌大学,南昌 330031 
宫建锋 国网宁夏电力有限公司经济技术研究院,银川 750004 
于东民 南昌大学,南昌 330031 
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中文摘要:
      高载能负荷参与需求侧响应已成为促进新能源消纳的重要举措,未来新型电力系统面临新能源占比不断提高及高载能负荷大规模接入的情况。亟需研究高载能负荷大规模接入对电网影响,以合理规划新能源机组与高载能负荷在配电网中的位置与容量。为此,以碳化硅负荷为研究对象,基于Matlab/Simulink仿真平台构建含高比例风电的IEEE33节点系统。基于参数摄动法,从电能质量、技术经济性、安全性3个方面评估风电机组与碳化硅负荷不同接入位置对电网的影响。应用熵值模糊层次分析法对仿真结果进行综合评估；评估结果与理论分析一致,验证了熵值模糊层次分析法的有效性。
英文摘要:
      The participation of high-energy load in demand side response has become an important measure to promote the consumption of new energy. In the future, the new power system will face the situation of increasing the proportion of new energy and large-scale access of high-energy load. It is urgent to study the impact of large-scale access of high-energy load on the power grid, so as to reasonably plan the location and capacity of new energy units and high-energy load in the distribution network. Therefore, silicon carbide load is taken as the research object, and an IEEE33 node system with high proportion of wind power is built based on MATLAB/Simulink simulation platform.Based on the parameter perturbation method, the impact of different access locations of wind turbines and silicon carbide loads on the power grid is evaluated from three aspects of power quality, technical economy and safety. The entropy fuzzy analytic hierarchy process is used to evaluate the simulation results；The evaluation results are consistent with the theoretical analysis, which verifies the effectiveness of entropy fuzzy analytic hierarchy process.
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