电网技术2016，Vol.40Issue(11)：3446-3452,7.DOI:10.13335/j.1000-3673.pst.2016.11.025
基于模糊RBF神经网络的直流微电网并网等效建模
DC Microgrid Equivalent Modeling Based on Fuzzy-RBF Artificial Neural Network
摘要
Abstract
1ABSTRACT:DCmicrogrid is widely used in modern power system nowadays, and its operation condition will affect adjacent distribution networks. Accurate DC microgrid equivalent modeling will improve credibility of power system simulation and analysis. This paper presented an equivalent modeling method for power system analysis with dc microgrid connected. The equivalent model was based on fuzzy clustering radial basis function (FRBF) and improved bacterial foraging algorithm. Measured data containing voltage and currentin PCC were collected as input data of the equivalent and output power of equivalent model was compared with measured power data as modeling guider. Simulation results show that the proposed method is suitable for equivalent modeling for dc microgrid integration into distribution network.关键词
直流微电网/径向基神经网络/模糊聚类/等效建模/细菌觅食算法Key words
DC microgrid/equivalent modeling/fuzzy clustering/improved bacterial foraging algorithm/RBF neural network分类
信息技术与安全科学引用本文复制引用
蔡昌春,程述成,邓志祥,江冰,赫卫国,马金祥..基于模糊RBF神经网络的直流微电网并网等效建模[J].电网技术,2016,40(11):3446-3452,7.基金项目
国家自然科学基金资助项目(61501171,51607057)；国家电网公司总部科技项目(NY71-16-024)。Project Supported by National Natural Science Foundation of China (61501171,51607057) （61501171,51607057）
Science and TechnologyProject of State Grid (NY71-16-024) （NY71-16-024）
