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作 者:李德智 龚桃荣 吴俊涛 宫建锋 于东民 LI Dezhi;GONG Taorong;WU Juntao;GONG Jianfeng;YU Dongmin(Beijing Key Laboratory of Demand Side Multi-Energy Carriers Optimization and Interaction Technique(China Electric Power Research Institute Co.,Ltd.),Beijing 100192,China;Nanchang University,Nanchang 330031,China;Economic and Technological Research Institute of State Grid Ningxia Electric Power Co.,Ltd.,Yinchuan,750004,China)
机构地区:[1]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 [2]南昌大学,南昌330031 [3]国网宁夏电力有限公司经济技术研究院,银川750004
出 处:《电力需求侧管理》2024年第2期41-48,共8页Power Demand Side Management
基 金:国家电网有限公司总部科技项目(5108-20221820A-2-242-XG)。
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。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 lo⁃cation and capacity of new energy units and high-energy load in the distribution network.Therefore,silicon carbide load is taken as the re⁃search 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 pow⁃er 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 en⁃tropy fuzzy analytic hierarchy process.
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
分 类 号:TM73[电气工程—电力系统及自动化]
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