电力系统自动化2019，Vol.43Issue(2)：67-75,9.DOI:10.7500/AEPS20180809005
基于稀疏多项式混沌展开的孤岛微电网概率潮流计算
Probabilistic Power Flow Calculation of Islanded Microgrid Based on Sparse Polynomial Chaos Expansion
摘要
Abstract
Considering the effect of uncertainty of renewable energy source (RES) on the operation of microgrid, it is hard to comprehensively describe operation states and power flow distribution through the traditional deterministic power flow calculation.Based on the randomness and dependency of generators and loads in microgrid, this paper develops a probabilistic power flow model of islanded AC microgrid.The sparse polynomial chaos expansion method is adopted to obtain output response of islanded microgrid quickly and accurately, also it can improve the efficiency of probabilistic power flow calculation of microgrid with high-dimensional input variables.Finally, a 33-node islanded microgrid with several distributed generators is simulated, and the effectiveness and accuracy of the proposed method are verified by comparing with traditional methods.关键词
孤岛微电网/可再生能源/不确定性/相关性/概率潮流/稀疏多项式混沌展开Key words
islanded microgrid/renewable energy source (RES)/uncertainty/dependency/probabilistic power flow/sparse polynomial chaos expansion (SPCE)引用本文复制引用
何琨,徐潇源,严正,王晗,洪元瑞..基于稀疏多项式混沌展开的孤岛微电网概率潮流计算[J].电力系统自动化,2019,43(2):67-75,9.基金项目
国家自然科学基金资助项目 (51707115) （51707115）
中国博士后科学基金资助项目 (2017M610251).This work is supported by National Natural Science Foundation of China (No. 51707115 ) and Post-doctoral Science Foundation of China (No. 2017M610251) . （2017M610251）
