林毅,林伟伟,张菁娴,吴珊,边晓燕,叶炜.计及调频效益的微电网源-荷动态频率调整研究[J].可再生能源,2023(05).

许海园,程帆,徐业琰,刘运鑫,姚良忠.基于分布式光伏和ZIP负荷协同的系统频率控制方法[J].智慧电力,2022(04).

潘晓杰,张文朝,徐友平,杨俊炜,周濛,邵德军.考虑多源负荷不确定性的电力系统安稳风险优化[J].可再生能源,2022(03).

毛玉宾,刘万勋,黄景慧,张丽华,蒋小亮,于琳琳,朱蜀,刘开培,秦亮.基于全局灵敏度的光伏不确定性对电力系统小信号稳定的影响评估[J].可再生能源,2019(04).

王晗,严正,徐潇源,何琨.基于稀疏多项式混沌展开的孤岛微电网全局灵敏度分析[J].电力系统自动化,2019(10).

杨家豪.计及微电源调节死区的孤岛微电网概率潮流计算[J].现代电力,2019(01).

何琨,严正,徐潇源,王晗.基于Sobol’法的孤岛微电网潮流全局灵敏度分析[J].电力系统自动化,2018(14).

喻磊,雷金勇,田兵,简淦杨,马溪原,郭晓斌,郝木凯,张伟,龚余婧.含多类型电源的离网型微电网经济运行策略[J].南方电网技术,2018(03).

李培帅,施烨,吴在军,胡敏强,王秀茹,史文萍.孤岛微电网潮流的类奔德斯分解算法[J].电力系统自动化,2017(14).

孙庆忠.微电网控制研究[J].能源研究与管理,2017(01).

丁明,楚明娟,潘浩,徐志成.交直流混合微电网运行优化建模与不确定性分析[J].电力系统自动化,2017(05).

孟明,陈世超,赵树军,李振伟,卢玉舟.新能源微电网研究综述[J].现代电力,2017(01).

彭寒梅,曹一家,黄小庆.基于BFGS信赖域算法的孤岛微电网潮流计算[J].中国电机工程学报,2014(16).

刘明波,简淦杨,董萍.孤岛微电网的随机潮流计算[J].华南理工大学学报(自然科学版),2014(04).

College of Mechanical and Electrical Engineering, Hunan University of Science and Technology, Xiangtan, Hunan Province, China,College of Mechanical and Electrical Engineering, Hunan University of Science and Technology, Xiangtan, Hunan Province, China.Probabilistic power flow computation using quadrature rules based on discrete Fourier transformation matrix[J].International Journal of Electrical Power and Energy Systems,2019.

Xie Z. Q.,Ji T. Y.,Li M. S.,Wu Q. H..Quasi-Monte Carlo Based Probabilistic Optimal Power Flow Considering the Correlation of Wind Speeds Using Copula Function[J].IEEE Transactions on Power Systems,2018.

Hamid Reza Baghaee,Mojtaba Mirsalim,G.B. Gharehpetian,H.A. Talebi.Application of RBF neural networks and unscented transformation in probabilistic power-flow of microgrids including correlated wind/PV units and plug-in hybrid electric vehicles[J].Simulation Modelling Practice and Theory,2017.

Eajal, A. A.,Abdelwahed, Mohamed A.,El-Saadany, E. F.,Ponnambalam, Kumaraswamy.A Unified Approach to the Power Flow Analysis of AC/DC Hybrid Microgrids[J].IEEE transactions on sustainable energy,2016.

Qing Xiao.Comparing three methods for solving probabilistic optimal power flow[J].Electric Power Systems Research,2015.

Chen, Y.,Wen, J.,Cheng, S..Probabilistic Load Flow Method Based on Nataf Transformation and Latin Hypercube Sampling[J].IEEE transactions on sustainable energy,2013.

S. Kucherenko,S. Tarantola,P. Annoni.Estimation of global sensitivity indices for models with dependent variables[J].Computer Physics Communications,2012.

Devender Singh,R. K. Misra,Deependra Singh.Effect of Load Models in Distributed Generation Planning[J].IEEE Transactions on Power Systems: A Publication of the Power Engineering Society,2007.

Andrea Saltelli.Making best use of model evaluations to compute sensitivity indices[J].Computer Physics Communications,2002.