1 code implementation • 22 Mar 2024 • Shuai Lu, Jiayi Ding, Wei Gu, Junpeng Zhu, Yijun Xu, ZhaoYang Dong, Zezheng Sun
To address this, we analyze the structural and practical identifiability of the PFL model, deriving the condition for the solution uniqueness.
no code implementations • 5 Dec 2023 • Ruizhi Yu, Wei Gu, Shuai Lu, Yijun Xu
This paper proposes a semi-implicit version of continuous Newton method (CNM) for power flow analysis.
no code implementations • 12 Oct 2023 • Zeyin Hou, Shuai Lu, Yijun Xu, Haifeng Qiu, Wei Gu, ZhaoYang Dong, Shixing Ding
The thermal inertia of buildings brings considerable flexibility to the heating and cooling load, which is known to be a promising demand response resource.
1 code implementation • 21 Aug 2023 • Shuai Lu, Zihang Gao, Yong Sun, Suhan Zhang, Baoju Li, Chengliang Hao, Yijun Xu, Wei Gu
Second, we propose a physics-informed estimator for the AGM that is robust to low-quality measurements, in which the physical constraints associated with the parameter normalization and sparsity are embedded to improve the accuracy and robustness.
no code implementations • 26 Jun 2023 • Yuanxi Wu, Zhi Wu, Yijun Xu, Huan Long, Wei Gu, Shu Zheng, Jingtao Zhao
The effective management of stochastic characteristics of renewable power generations is vital for ensuring the stable and secure operation of power systems.
no code implementations • 31 Mar 2023 • Yijun Xu, Marcos Netto, Lamine Mili
We propose a Koopman operator-based surrogate model for propagating parameter uncertainties in power system nonlinear dynamic simulations.
no code implementations • 6 Jan 2023 • Pooja Algikar, Yijun Xu, Somayeh Yarahmadi, Lamine Mili
The proposed method is demonstrated on the IEEE 33-Bus power distribution system and a real-world unbalanced 240-bus power distribution system heavily integrated with renewable energy sources.
no code implementations • 18 Oct 2021 • Yijun Xu, Jaber Valinejad, Mert Korkali, Lamine Mili, Yajun Wang, Xiao Chen, Zongsheng Zheng
To overcome the above challenges, this paper proposes a Bayesian-inference framework that allows us to simultaneously estimate the topology and the state of a three-phase, unbalanced power distribution system.
no code implementations • 15 Oct 2019 • Jaber Valinejad, Mousa Marzband, Mert Korkali, Yijun Xu, Ameena Saad Al Sumaiti
The global optimal performance in terms of energy cost is met for a market structure (H-MGs, consumers, and retailers) at a Nash optimum point for the formulated scheduling game considering local and general constraints on the spot market.
Optimization and Control -