A linearized OPF model with reactive power and voltage magnitude: A pathway to improve the MW-only DC OPF Z Yang, H Zhong, A Bose, T Zheng, Q Xia, C Kang IEEE Transactions on Power Systems 33 (2), 1734-1745, 2018 | 354 | 2018 |
A General Formulation of Linear Power Flow Models: Basic Theory and Error Analysis Z Yang, K Xie, J Yu, H Zhong, N Zhang, Q Xia IEEE Transactions on Power Systems, 2019 | 194 | 2019 |
Exploring the trade-offs between electric heating policy and carbon mitigation in China J Wang, H Zhong, Z Yang, M Wang, DM Kammen, Z Liu, Z Ma, Q Xia, ... Nature communications 11 (1), 6054, 2020 | 163 | 2020 |
Data-driven optimal power flow: A physics-informed machine learning approach X Lei, Z Yang, J Yu, J Zhao, Q Gao, H Yu IEEE Transactions on Power Systems 36 (1), 346-354, 2020 | 153 | 2020 |
Fast calculation of probabilistic power flow: A model-based deep learning approach Y Yang, Z Yang, J Yu, B Zhang, Y Zhang, H Yu IEEE Transactions on Smart Grid 11 (3), 2235-2244, 2019 | 129 | 2019 |
Optimal power flow based on successive linear approximation of power flow equations Z Yang, H Zhong, Q Xia, A Bose, C Kang IET Generation, Transmission & Distribution 10 (14), 3654-3662, 2016 | 124 | 2016 |
Optimal power flow in AC–DC grids with discrete control devices Z Yang, H Zhong, A Bose, Q Xia, C Kang IEEE Transactions on Power Systems 33 (2), 1461-1472, 2017 | 117 | 2017 |
Optimal reactive power dispatch with accurately modeled discrete control devices: a successive linear approximation approach Z Yang, A Bose, H Zhong, N Zhang, Q Xia, C Kang IEEE Trans. Power Syst 32 (3), 2435-2444, 2017 | 110 | 2017 |
Incentive mechanism for clearing energy and reserve markets in multi-area power systems J Wang, H Zhong, Z Yang, X Lai, Q Xia, C Kang IEEE Transactions on Sustainable Energy 11 (4), 2470-2482, 2019 | 105 | 2019 |
Optimal transmission switching with short-circuit current limitation constraints Z Yang, H Zhong, Q Xia, C Kang IEEE Transactions on Power Systems 31 (2), 1278-1288, 2015 | 89 | 2015 |
LMP revisited: A linear model for the loss-embedded LMP Z Yang, A Bose, H Zhong, N Zhang, J Lin, Q Xia, C Kang IEEE Transactions on Power Systems 32 (5), 4080-4090, 2017 | 82 | 2017 |
Solving OPF using linear approximations: fundamental analysis and numerical demonstration Z Yang, H Zhong, Q Xia, C Kang IET Generation, Transmission & Distribution 11 (17), 4115-4125, 2017 | 75 | 2017 |
Probabilistic power flow with topology changes based on deep neural network M Xiang, J Yu, Z Yang, Y Yang, H Yu, H He International Journal of Electrical Power & Energy Systems 117, 105650, 2020 | 72 | 2020 |
A novel network model for optimal power flow with reactive power and network losses Z Yang, H Zhong, Q Xia, C Kang Electric Power Systems Research 144, 63-71, 2017 | 71 | 2017 |
Fast economic dispatch in smart grids using deep learning: An active constraint screening approach Y Yang, Z Yang, J Yu, K Xie, L Jin IEEE Internet of Things Journal 7 (11), 11030-11040, 2020 | 60 | 2020 |
Fundamental Review of the OPF Problem: Challenges, Solutions, and State-of-the-Art Algorithms Z Yang, H Zhong, Q Xia, C Kang Journal of Energy Engineering 144 (1), 04017075, 2017 | 57 | 2017 |
Coordinated control parameter setting of DFIG wind farms with virtual inertia control J Liu, Z Yang, J Yu, J Huang, W Li International Journal of Electrical Power & Energy Systems 122, 106167, 2020 | 53 | 2020 |
A physics-guided graph convolution neural network for optimal power flow M Gao, J Yu, Z Yang, J Zhao IEEE Transactions on Power Systems 39 (1), 380-390, 2023 | 51 | 2023 |
A Structural Transmission Cost Allocation Scheme Based on Capacity Usage Identification Z Yang, H Zhong, Q Xia, C Kang, T Chen, Y Li IEEE Transactions on Power Systems 31 (4), 2876 - 2884, 2016 | 47 | 2016 |
Toward fast calculation of probabilistic optimal power flow W Lin, Z Yang, J Yu, S Bao, W Dai IEEE Transactions on Power Systems 34 (4), 3286-3288, 2019 | 44 | 2019 |