46 citations · 96 across the 19 of their papers we have counts for
21 papers
Preconditioner-Based Acceleration Method for Solving EMTP Linear Equations
Qi Lou, Yijun Xu, Yang Cao +2
The computational speed of electromagnetic transient programs (EMTP) is severely limited by both the curse of dimensionality and the ill-conditioned system matrix, which collective…
Alleviating CoD in Renewable Energy Profile Clustering Using an Optical Quantum Computer
Chengjun Liu, Yijun Xu, Wei Gu +4
The traditional clustering problem of renewable energy profiles is typically formulated as a combinatorial optimization that suffers from the Curse of Dimensionality (CoD) on class…
Integrating Building Thermal Flexibility Into Distribution System: A Privacy-Preserved Dispatch Approach
Shuai Lu, Zeyin Hou, Wei Gu +1
The inherent thermal storage capacity of buildings brings considerable thermal flexibility to the heating/cooling loads, which are promising demand response resources for power sys…
Fast Critical Clearing Time Calculation for Power Systems with Synchronous and Asynchronous Generation
Xuezao Wang, Yijun Xu, Wei Gu +4
The increasing penetration of renewables is replacing traditional synchronous generation in modern power systems with low-inertia asynchronous converter-interfaced generators (CIGs…
On the Data-Driven Modeling of Price-Responsive Flexible Loads: Formulation and Algorithm
Mingji Chen, Shuai Lu, Wei Gu +3
The flexible loads in power systems, such as interruptible and transferable loads, are critical flexibility resources for mitigating power imbalances. Despite their potential, accu…
Dynamic Energy Flow Analysis of Integrated Electricity and Gas Systems: A Semi-Analytical Approach
Zhikai Huang, Shuai Lu, Wei Gu +4
Ensuring the safe and reliable operation of integrated electricity and gas systems (IEGS) requires dynamic energy flow (DEF) simulation tools that achieve high accuracy and computa…
Matrix Low-dimensional Qubit Casting Based Quantum Electromagnetic Transient Network Simulation Program
Qi Lou, Yijun Xu, Wei Gu
In modern power systems, the integration of converter-interfaced generations requires the development of electromagnetic transient network simulation programs (EMTP) that can captu…
Nonlinear PDE Constrained Optimal Dispatch of Gas and Power: A Global Linearization Approach
Yuan Li, Shuai Lu, Wei Gu +4
The coordinated dispatch of power and gas in the electricity-gas integrated energy system (EG-IES) is fundamental for ensuring operational security. However, the gas dynamics in th…
On the Solution Uniqueness of Data-Driven Modeling of Flexible Loads (with Supplementary Material)
Shuai Lu, Jiayi Ding, Mingji Chen +5
This letter first explores the solution uniqueness of the data-driven modeling of price-responsive flexible loads (PFL). The PFL on the demand side is critical in modern power syst…
Semi-implicit Continuous Newton Method for Power Flow Analysis
Ruizhi Yu, Wei Gu, Yijun Xu +2
As an effective emulator of ill-conditioned power flow, continuous Newton methods (CNMs) have been extensively investigated using explicit and implicit numerical integration algori…
Privacy-Preserved Aggregate Thermal Dynamic Model of Buildings
Zeyin Hou, Shuai Lu, Yijun Xu +4
The thermal inertia of buildings brings considerable flexibility to the heating and cooling load, which is known to be a promising demand response resource. The aggregate model tha…
Aggregate Model of District Heating Network for Integrated Energy Dispatch: A Physically Informed Data-Driven Approach
Shuai Lu, Zihang Gao, Yong Sun +5
The district heating network (DHN) is essential in enhancing the operational flexibility of integrated energy systems (IES). Yet, it is hard to obtain an accurate and concise DHN m…
Computationally Enhanced Approach for Chance-Constrained OPF Considering Voltage Stability
Yuanxi Wu, Zhi Wu, Yijun Xu +4
The effective management of stochastic characteristics of renewable power generations is vital for ensuring the stable and secure operation of power systems. This paper addresses t…
Propagating Parameter Uncertainty in Power System Nonlinear Dynamic Simulations Using a Koopman Operator-Based Surrogate Model
Yijun Xu, Marcos Netto, Lamine Mili
We propose a Koopman operator-based surrogate model for propagating parameter uncertainties in power system nonlinear dynamic simulations. First, we augment the a priori known stat…
A Robust Data-driven Process Modeling Applied to Time-series Stochastic Power Flow
Pooja Algikar, Yijun Xu, Somayeh Yarahmadi +1
In this paper, we propose a robust data-driven process model whose hyperparameters are robustly estimated using the Schweppe-type generalized maximum likelihood estimator. The prop…
A Measurement-Based Robust Non-Gaussian Process Emulator Applied to Data-Driven Stochastic Power Flow
Pooja Algikar, Yijun Xu, Lamine Mili
In this paper, we propose a robust non-Gaussian process emulator based on the Schweppe-type generalized maximum likelihood estimator, which is trained on metered time series of vol…
An Adaptive-Importance-Sampling-Enhanced Bayesian Approach for Topology Estimation in an Unbalanced Power Distribution System
Yijun Xu, Jaber Valinejad, Mert Korkali +4
The reliable operation of a power distribution system relies on a good prior knowledge of its topology and its system state. Although crucial, due to the lack of direct monitoring…
An Adaptive MMC Synchronous Stability Control Method Based on Local PMU measurements
Long Peng, Yong Tang, Lamine Mili +4
Reducing the current is a common method to ensure the synchronous stability of a modular multilevel converter (MMC) when there is a short-circuit fault at its AC side. However, the…
Probabilistic Load-Margin Assessment using Vine Copula and Gaussian Process Emulation
Yijun Xu, Kiran Karra, Lamine Mili +3
The increasing penetration of renewable energy along with the variations of the loads bring large uncertainties in the power system states that are threatening the security of powe…
Hierarchical Interactive Architecture based on Coalition Formation for Neighborhood System Decision Making
Jaber Valinejad, Mousa Marzband, Mert Korkali +2
In recent years, significant efforts for improving the technical and the economic performance of smart grids have been applied with the presence of different players making decisio…
Uncertainty Quantification in Stochastic Economic Dispatch using Gaussian Process Emulation
Zhixiong Hu, Yijun Xu, Mert Korkali +3
The increasing penetration of renewable energy resources in power systems, represented as random processes, converts the traditional deterministic economic dispatch problem into a…