Estimating wind speed probability distribution by diffusion-based kernel density method X Xu, Z Yan, S Xu Electric Power Systems Research 121, 28-37, 2015 | 117 | 2015 |
Power system voltage stability evaluation considering renewable energy with correlated variabilities X Xu, Z Yan, M Shahidehpour, H Wang, S Chen IEEE Transactions on Power Systems 33 (3), 3236-3245, 2017 | 112 | 2017 |
Data-driven risk-averse two-stage optimal stochastic scheduling of energy and reserve with correlated wind power X Xu, Z Yan, M Shahidehpour, Z Li, M Yan, X Kong IEEE Transactions on Sustainable Energy 11 (1), 436-447, 2019 | 94 | 2019 |
Deep learning hybrid method for islanding detection in distributed generation X Kong, X Xu, Z Yan, S Chen, H Yang, D Han Applied Energy 210, 776-785, 2018 | 93 | 2018 |
Two-layer control scheme for maintaining the frequency and the optimal economic operation of hybrid AC/DC microgrids Q Zhou, M Shahidehpour, Z Li, X Xu IEEE Transactions on Power Systems 34 (1), 64-75, 2018 | 58 | 2018 |
Probabilistic load flow calculation with quasi-Monte Carlo and multiple linear regression X Xu, Z Yan International Journal of Electrical Power & Energy Systems 88, 1-12, 2017 | 51 | 2017 |
Probabilistic power flow analysis of microgrid with renewable energy H Wang, Z Yan, X Xu, K He International Journal of Electrical Power & Energy Systems 114, 105393, 2020 | 43 | 2020 |
Maximum loadability of islanded microgrids with renewable energy generation X Xu, Z Yan, M Shahidehpour, S Chen, H Wang, Z Li, Q Zhou IEEE Transactions on Smart Grid 10 (5), 4696-4705, 2018 | 42 | 2018 |
Optimal energy storage allocation for mitigating the unbalance in active distribution network via uncertainty quantification H Wang, Z Yan, M Shahidehpour, Q Zhou, X Xu IEEE Transactions on Sustainable Energy 12 (1), 303-313, 2020 | 41 | 2020 |
Quantitative evaluations of uncertainties in multivariate operations of microgrids H Wang, Z Yan, M Shahidehpour, X Xu, Q Zhou IEEE Transactions on Smart Grid 11 (4), 2892-2903, 2020 | 40 | 2020 |
Three-stage distributed state estimation for AC-DC hybrid distribution network under mixed measurement environment X Kong, Z Yan, R Guo, X Xu, C Fang IEEE Access 6, 39027-39036, 2018 | 39 | 2018 |
Probabilistic load flow evaluation considering correlated input random variables X Xu, Z Yan International Transactions on Electrical Energy Systems 26 (3), 555-572, 2016 | 34 | 2016 |
Optimal power flow calculation in AC/DC hybrid power system based on adaptive simplified human learning optimization algorithm J Cao, Z Yan, X Xu, G He, S Huang Journal of Modern Power Systems and Clean Energy 4 (4), 690-701, 2016 | 28 | 2016 |
Evaluating influence of variable renewable energy generation on islanded microgrid power flow H Wang, Z Yan, X Xu, K He IEEE Access 6, 71339-71349, 2018 | 27 | 2018 |
Improving the Convergence of Power Flow Calculation by a Self-adaptive Levenberg-marquardt method Z Yan, X Fan, W Zhao, X Xu, J Fan, W Yi Proceedings of the CSEE 35 (8), 1909-1918, 2015 | 27 | 2015 |
Probabilistic load flow calculation based on rank correlation coefficient of input random variables X Xu, Z Yan, D Feng, Y Wang, L Cao Automation of Electric Power Systems 38 (12), 54-61, 2014 | 27 | 2014 |
基于输入变量秩相关系数的概率潮流计算方法 徐潇源, 严正, 冯冬涵, 王毅, 曹路 电力系统自动化, 54-61, 2014 | 27 | 2014 |
Forming bidding curves for a distribution system operator S Chen, J Ping, X Le, Z Yan, X Xu, L Yao, J Xi IEEE Transactions on Power Systems 33 (5), 5389-5400, 2018 | 25 | 2018 |
Probabilistic load flow evaluation with hybrid Latin Hypercube Sampling and multiple linear regression X Xu, Z Yan 2015 IEEE Power & Energy Society General Meeting, 1-5, 2015 | 23 | 2015 |
An online optimization method for extracting parameters of multi-parameter PV module model based on adaptive Levenberg-Marquardt algorithm M Wang, X Xu, Z Yan, H Wang Energy Conversion and Management 245, 114611, 2021 | 21 | 2021 |