no code implementations • 22 May 2024 • Corinne Aars, Lauren Adams, Xiaokan Tian, Zhaoyu Wang, Colton Wismer, Jason Wu, Pablo Rivas, Korn Sooksatra, Matthew Fendt
This study presents the development and evaluation of a ByT5-based multilingual translation model tailored for translating the Bible into underrepresented languages.
no code implementations • 15 Aug 2023 • Shuva Paul, Abodh Poudyal, Shiva Poudel, Anamika Dubey, Zhaoyu Wang
Moreover, this work provides an in-depth analysis of existing research on planning solutions to enhance distribution system resilience and support power distribution system operators and planners in developing effective mitigation strategies.
no code implementations • 23 Jun 2023 • Rui Cheng, Naihao Shi, Zhaoyu Wang, Zixiao Ma
This proposed SDNet OPF model can be easily embedded into existing primary distribution network (PDNet) OPF models, resulting in a holistic power system decision-making solution for integrated primary-secondary distribution networks.
1 code implementation • 15 Jun 2023 • Zhaoyu Wang, Pingchuan Ma, Shuai Wang
Federated learning can solve this problem, but existing solutions for federated causal structure learning make unrealistic assumptions about data and lack convergence guarantees.
no code implementations • 5 May 2023 • Salish Maharjan, Prashant Tiwari, Rui Cheng, Zhaoyu Wang
Stochastic controllers are perceived as a promising solution for techno-economic operation of distribution networks having higher generation uncertainties at large penetration of renewables.
no code implementations • 19 Apr 2023 • Salish Maharjan, Rui Cheng, Zhaoyu Wang
Hence, this paper enhances the scope of analytical estimation of sensitivity matrices for unbalanced networks with 1-phase, 2-phase, and 3-phase Delta/Wye-connected loads, DERs with smart inverter functionality, and substation/line step-voltage regulators (SVR).
no code implementations • 10 Sep 2022 • Naihao Shi, Rui Cheng, LiMing Liu, Zhaoyu Wang, Qianzhi Zhang
Finally, a distributed consensus-based solution, based on the alternating direction method of multipliers (ADMM), for the AARVVC is applied to decide the inverter reactive power adjustment rule with respect to its active power.
no code implementations • 7 Jul 2022 • Qianzhi Zhang, Fankun Bu, Yi Guo, Zhaoyu Wang
To better consider the impacts of load and PV generation uncertainties on CVR implementation in distribution systems and provide less conservative solutions, this paper develops a data-based DRCC-CVR model with tractable reformulation and data enrichment method.
no code implementations • 18 Jun 2022 • Rui Cheng, Naihao Shi, Salish Maharjan, Zhaoyu Wang
To this end, this paper proposes an automatic self-adaptive local voltage control (ASALVC) by locally controlling VAr outputs of distributed energy resources.
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 • 21 Dec 2021 • Dingwei Wang, Yuxuan Yuan, Rui Cheng, Zhaoyu Wang
This paper develops a data-driven approach to accurately predict the restoration time of outages under different scales and factors.
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 • 14 Oct 2021 • Fankun Bu, Rui Cheng, Zhaoyu Wang
In this paper, we have come up with a novel two-layer approach to disaggregate the unknown PV generation and native demand from the known hourly net demand data recorded by smart meters: 1) At the aggregate level, the proposed approach separates the total PV generation and native demand time series from the total net demand time series for customers with PVs.
no code implementations • 2 Aug 2021 • Rong Yan, Yuxuan Yuan, Zhaoyu Wang, Guangchao Geng, Quanyuan Jiang
The basic idea is to learn the distribution of random walks both over a real-world system and across each phase of line segments, capturing the underlying local properties of an individual real-world distribution network and generating specific synthetic networks accordingly.
no code implementations • 11 May 2021 • Yuxuan Yuan, Kaveh Dehghanpour, Zhaoyu Wang
Smart meters (SMs) are being widely deployed by distribution utilities across the U. S.
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 • 16 Jan 2021 • Qianzhi Zhang, Zixiao Ma, Yongli Zhu, Zhaoyu Wang
This paper proposes a service restoration model for unbalanced distribution systems and inverter-dominated microgrids (MGs), in which frequency dynamics constraints are developed to optimize the amount of load restoration and guarantee the dynamic performance of system frequency response during the restoration process.
no code implementations • 24 Dec 2020 • Qianzhi Zhang, Zhaoyu Wang, Shanshan Ma, Anmar Arif
This paper proposes a stochastic optimal preparation and resource allocation method for upcoming extreme weather events in distribution systems, which can assist utilities to achieve faster and more efficient post-event restoration.
no code implementations • 4 Dec 2020 • Yuxuan Yuan, Kaveh Dehghanpour, Zhaoyu Wang, Fankun Bu
To maintain monitoring accuracy, the two levels exchange boundary information with each other at the secondary nodes, including transformer voltages (first layer to second layer) and active/reactive total power injection (second layer to first layer).
Computational Efficiency Hierarchical Reinforcement Learning
no code implementations • 4 Dec 2020 • Yuxuan Yuan, Kaveh Dehghanpour, Zhaoyu Wang, Fankun Bu
A novel aspect of the proposed approach is that it takes multi-source evidence and the complex structure of distribution systems into account using a probabilistic graphical method.
no code implementations • 29 Nov 2020 • Yichen Zhang, Feng Qiu, Tianqi Hong, Zhaoyu Wang, Fangxing Li
Self-healing capability is one of the most critical factors for a resilient distribution system, which requires intelligent agents to automatically perform restorative actions online, including network reconfiguration and reactive power dispatch.
no code implementations • 29 Nov 2020 • Fankun Bu, Kaveh Dehghanpour, Zhaoyu Wang
The key to our approach is to statistically recover the high-resolution load data, which is masked by the low-resolution data, using trained probabilistic models of service transformers that have both high and low-resolution data sources, i. e, micro-PMUs and smart meters.
no code implementations • 16 Nov 2020 • Anmar Arif, Bai Cui, Zhaoyu Wang
This paper presents an optimization framework for sequential reconfiguration using an assortment of switching devices and repair process in distribution system restoration.
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 • 2 Nov 2020 • Nichelle'Le K. Carrington, Ian Dobson, Zhaoyu Wang
The formulas express the mean value of these metrics as a function of the number of outages in the event.
no code implementations • 4 Oct 2020 • Yuxuan Yuan, Zhaoyu Wang, Yanchao Wang
One essential application is the use of PMU data for real-time event identification.
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.
no code implementations • 15 Jun 2020 • Xiao Liu, Fanjin Zhang, Zhenyu Hou, Zhaoyu Wang, Li Mian, Jing Zhang, Jie Tang
As an alternative, self-supervised learning attracts many researchers for its soaring performance on representation learning in the last several years.
no code implementations • 8 Oct 2019 • Zixiao Ma, Zhaoyu Wang, Yuxuan Yuan, Tianqi Hong
Higher-level controller design and stability analysis of such high-order systems are usually intractable and computation-costly.
no code implementations • 17 Jan 2019 • Mahdi Khodayar, Jianhui Wang, Zhaoyu Wang
Power system studies require the topological structures of real-world power networks; however, such data is confidential due to important security concerns.
no code implementations • 10 Sep 2018 • Mahdi Khodayar, Jianhui Wang, Zhaoyu Wang
The electricity signal of each device is then modeled by a linear combination of such patterns with sparse coefficients that determine the contribution of each device in the total electricity.