no code implementations • 4 Jan 2022 • Wei Lin, Hua Jiang, Zhifang Yang
However, a tie-line security region is a high-dimension polytope due to multiple time periods and border buses inherently in power system operations, leading to the considerable computational burden.
no code implementations • 2 Nov 2020 • Xingyu Lei, Student Member, Zhifang Yang, Member, Junbo Zhao, Juan Yu, Senior Member, IEEE
Case studies performed on the PJM 5-bus and IEEE 118-bus systems demonstrate that the proposed method is capable of accurately accounting the influence of wind curtailment dispatch in CCO.
Systems and Control Systems and Control
no code implementations • 31 May 2020 • Xingyu Lei, Zhifang Yang, Juan Yu, Junbo Zhao, Qian Gao, Hongxin Yu
This paper proposes a data-driven approach for optimal power flow (OPF) based on the stacked extreme learning machine (SELM) framework.
BIG-bench Machine Learning Physics-informed machine learning
no code implementations • 24 Jun 2019 • Yan Yang, Juan Yu, Zhifang Yang, Mingxu Xiang, Ren Liu
Taking advantage of the deep structure and reconstructive strategy of stacked denoising auto encoders (SDAE), a SDAE-based optimal power flow (OPF) is developed to extract the high-level nonlinear correlations between the system operating condition and the OPF solution.
no code implementations • 14 Jun 2019 • Yan Yang, Zhifang Yang, Juan Yu, Baosen Zhang
A deep neural network (DNN) is used to approximate the power flow calculation and is trained according to the physical power flow equations to improve its learning ability.