1 code implementation • 3 Oct 2024 • Guodong Du, Junlin Lee, Jing Li, Runhua Jiang, Yifei Guo, Shuyang Yu, Hanting Liu, Sim Kuan Goh, Ho-Kin Tang, Daojing He, Min Zhang
Recently developed model merging techniques enable the direct integration of multiple models, each fine-tuned for distinct tasks, into a single model.
1 code implementation • 18 Jun 2024 • Guodong Du, Jing Li, Hanting Liu, Runhua Jiang, Shuyang Yu, Yifei Guo, Sim Kuan Goh, Ho-Kin Tang
Fine-tuning pre-trained language models, particularly large language models, demands extensive computing resources and can result in varying performance outcomes across different domains and datasets.
1 code implementation • 4 Jun 2024 • Runhua Jiang, Guodong Du, Shuyang Yu, Yifei Guo, Sim Kuan Goh, Ho-Kin Tang
This paper attempts to tackle the challenges by introducing Cosine Annealing Differential Evolution (CADE), designed to modulate the mutation factor (F) and crossover rate (CR) of differential evolution (DE) for the SNN model, i. e., Spiking Element Wise (SEW) ResNet.
no code implementations • 8 Mar 2024 • Ali Arjomandi-Nezhad, Yifei Guo, Bikash C. Pal, Guangya Yang
Based on these analyses, it is inferred that the angle of the magnitude-saturated current significantly affects the post-fault recovery and transient stability; with different angle selection, the system may follow multiple post-fault trajectories depending on those conditions: 1) Convergence to a normal stable equilibrium point (SEP), 2) convergence to a saturated stable equilibrium point (satSEP), or 3) divergence (instability).
no code implementations • 2 Aug 2023 • Ali Arjomandi-Nezhad, Yifei Guo, Bikash C. Pal, Damiano Varagnolo
A model predictive control (MPC) method for enhancing post-fault transient stability of a grid-forming (GFM) inverter based resources (IBRs) is developed in this paper.
no code implementations • 20 Jun 2022 • Yifei Guo, Bikash C. Pal, Rabih A. Jabr
Inverter-based resources (IBRs) are required to provide dynamic voltage support (DVS) during voltage dips to enhance the low-voltage ride-through capability.
no code implementations • 11 Jan 2022 • Rui Cheng, Zhaoyu Wang, Yifei Guo, Qianzhi Zhang
It utilizes a non-diagonal symmetric positive definite matrix, developed from the Hessian matrix of the objective, to scale the gradient, and thus a fast convergence performance can be expected in this Newton-like algorithm.
no code implementations • 27 Oct 2021 • Rui Cheng, Zhaoyu Wang, Yifei Guo, Fankun Bu
The results show that the allocations of solar PV have the most significant effect on the CVR performance, where a dispersed allocation of solar PV will help flatten voltage profile and achieve deeper voltage reductions at the substation, less energy consumption and line losses.
no code implementations • 22 Sep 2021 • Yifei Guo, Bikash C. Pal, Rabih A. Jabr
In this paper, we investigate the control of inverter-based resources (IBRs) for optimal voltage unbalance attenuation (OVUA).
no code implementations • 30 Jun 2021 • Yifei Guo, Bikash C. Pal, Rabih A. Jabr
This paper investigates the dynamic voltage support (DVS) control of inverter-based resources (IBRs) under voltage sags to enhance the low-voltage ride-through performance.
no code implementations • 27 Mar 2021 • Rui Cheng, Zhaoyu Wang, Yifei Guo
The non-linearity and non-convexity of power flow models and the phase coupling challenge the analysis and optimization of unbalanced distribution networks.
no code implementations • 28 Feb 2021 • Yifei Guo, Yuxuan Yuan, Zhaoyu Wang
The knowledge of distribution grid models, including topologies and line impedances, is essential to grid monitoring, control and protection.
no code implementations • 9 Nov 2020 • Qianzhi Zhang, Yifei Guo, Zhaoyu Wang, Fankun Bu
This paper proposes an asychronous distributed leader-follower control method to achieve conservation voltage reduction (CVR) in three-phase unbalanced distribution systems by optimally scheduling smart inverters of distributed energy resources (DERs).
no code implementations • 1 Sep 2020 • Fankun Bu, Kaveh Dehghanpour, Yuxuan Yuan, Zhaoyu Wang, Yifei Guo
In most cases, PVs are installed behind-the-meter (BTM), and only the net demand is recorded.
no code implementations • 17 Jun 2020 • Yuxuan Yuan, Yifei Guo, Kaveh Dehghanpour, Zhaoyu Wang, Yanchao Wang
A large-scale deployment of phasor measurement units (PMUs) that reveal the inherent physical laws of power systems from a data perspective enables an enhanced awareness of power system operation.