51 citations · 123 across the 20 of their papers we have counts for
27 papers
A Convergence Predictor Model for Consensus-based Decentralised Energy Markets
Parikshit Pareek, L. P. Mohasha Isuru Sampath, Hung D. Nguyen +1
This letter introduces a convergence prediction model (CPM) for decentralized market clearing mechanisms. The CPM serves as a tool to detect potential cyber-attacks that affect the…
A Gaussian Process-based Price-Amount Curve Construction for Demand Response Provided by Internet Data Centers
Yang Liu, Hung D. Nguyen
For a Demand Response (DR) program with internet data centers (IDC), the Price-Amount curve that estimates how the potential DR amount depends on the DR price determined by power s…
Gaussian Process-based Approach for Bilevel Optimization in the Power System -- A Critical Load Restoration Case
Yang Liu, Yu Weng, Rufan Yang +2
Bilevel optimization problems can be used to represent the collaborative interaction between a power system and grid-connected entities, called the followers, such as data centers.…
A Framework for Health-informed RUL-constrained Optimal Power Flow with Li-ion Batteries
Jiahang Xie, Yu Weng, Hung D. Nguyen
Battery energy storage systems are widely adopted in grid-connected applications to mitigate the impact of intermittent renewable generations and enhance power system resiliency. D…
Health-Focused Optimal Power Flow
Logesh Kumar, Parikshit Pareek, Sivakumar Nadarajan +3
In this paper, we propose a novel Health-Focused Optimal Power Flow (HF-OPF) to take into account the equipment health in operational and physical constraints. The health condition…
A Two-Layer Framework with Battery Temperature Optimal Control and Network Optimal Power Flow
Anshuman Singh, Wang Peng, Hung D. Nguyen
Battery energy storage is an essential component of a microgrid. The working temperature of the battery is an important factor as a high-temperature condition generally increases l…
Gaussian Process Learning-based Probabilistic Optimal Power Flow
Parikshit Pareek, Hung D. Nguyen
In this letter, we present a novel Gaussian Process Learning-based Probabilistic Optimal Power Flow (GP-POPF) for solving POPF under renewable and load uncertainties of arbitrary d…
A Convexification Approach for Small-Signal Stability Constrained Optimal Power Flow
Parikshit Pareek, Hung D. Nguyen
In this paper, a novel convexification approach for Small-Signal Stability Constraint Optimal Power Flow (SSSC-OPF) has been presented that does not rely on eigenvalue analysis. Th…
Non-parametric Probabilistic Load Flow using Gaussian Process Learning
Parikshit Pareek, Chuan Wang, Hung D. Nguyen
In this work, we propose a non-parametric probabilistic load flow (NP-PLF) technique based on the Gaussian Process (GP) learning to understand the power system behavior under uncer…
Probabilistic Robust Small-Signal Stability Framework using Gaussian Process Learning
Parikshit Pareek, Hung D. Nguyen
While most power system small-signal stability assessments rely on the reduced Jacobian, which depends non-linearly on the states, uncertain operating points introduce nontrivial h…
Region of Attraction for Power Systems using Gaussian Process and Converse Lyapunov Function -- Part I: Theoretical Framework and Off-line Study
Chao Zhai, Hung D. Nguyen
This paper introduces a novel framework to construct the region of attraction (ROA) of a power system centered around a stable equilibrium by using stable state trajectories of sys…
Steady-state Voltage Profile and Long-term Voltage Stability of Electrified Road with Wireless Dynamic Charging
Chuan Wang, Hung D. Nguyen
Wireless dynamic charging technologies are becoming a promising alternative solution to plug-in ones as they allow on-the-move charging for electric vehicles. From a power network…
A Sufficient Condition for Small-Signal Stability and Construction of Robust Stability Region
Parikshit Pareek, Konstantin Turitsyn, Krishnamurthy Dvijotham +1
The small-signal stability is an integral part of the power system security analysis. The introduction of renewable source related uncertainties is making the stability assessment…
Contraction and Robustness of Continuous Time Primal-Dual Dynamics
Hung D. Nguyen, Thanh Long Vu, Konstantin Turitsyn +1
The Primal-Dual (PD) algorithm is widely used in convex optimization to determine saddle points. While the stability of the PD algorithm can be easily guaranteed, strict contractio…
Convex Restriction of Power Flow Feasibility Sets
Dongchan Lee, Hung D. Nguyen, Krishnamurthy Dvijotham +1
The convex restriction of the power flow feasible sets identifies the convex subset of power injections where the solution for power flow is guaranteed to exist and satisfy the ope…
Constructing Convex Inner Approximations of Steady-State Security Regions
Hung D. Nguyen, Krishnamurthy Dvijotham, Konstantin Turitsyn
We propose a scalable optimization framework for estimating convex inner approximations of the steady-state security sets. The framework is based on Brouwer fixed point theorem app…
A Framework for Robust Steady-State Voltage Stability of Distribution Systems
Hung D. Nguyen, Krishnamurthy Dvijotham, Suhyoun Yu +1
Power injection uncertainties in distribution power grids, which are mostly induced by aggressive introduction of intermittent renewable sources, may drive the system away from nor…
Solvability regions of affinely parameterized quadratic equations
Krishnamurthy Dvijotham, Hung Nguyen, Konstantin Turitsyn
Quadratic systems of equations appear in several applications. The results in this paper are motivated by quadratic systems of equations that describe equilibrium behavior of physi…
Inverse Stability Problem and Applications to Renewables Integration
Thanh Long Vu, Hung Dinh Nguyen, Alexandre Megretski +2
In modern power systems, the operating point, at which the demand and supply are balanced, may take different values due to changes in loads and renewable generation levels. Unders…
Contraction Analysis of Nonlinear DAE Systems
Hung D. Nguyen, Thanh Long Vu, Jean-Jacques Slotine +1
This paper studies the contraction properties of nonlinear differential-algebraic equation (DAE) systems. Specifically we develop scalable techniques for constructing the attractio…
Probabilistic Power Flow Computation via Low-Rank and Sparse Tensor Recovery
Zheng Zhang, Hung Dinh Nguyen, Konstantin Turitsyn +1
This paper presents a tensor-recovery method to solve probabilistic power flow problems. Our approach generates a high-dimensional and sparse generalized polynomial-chaos expansion…
Simple Certificate of Solvability of Power Flow Equations for Distribution Systems
Suhyoun Yu, Hung D. Nguyen, Konstantin S. Turitsyn
Power flow solvable boundary plays an important role in contingency analysis, security assessment, and planning processes. However, to construct the real solvable boundary in multi…
Robust Stability Assessment in the Presence of Load Dynamics Uncertainty
Hung D. Nguyen, Konstantin Turitsyn
Dynamic response of loads has a significant effect on system stability and directly determines the stability margin of the operating point. Inherent uncertainty and natural variabi…
Numerical Polynomial Homotopy Continuation Method to Locate All The Power Flow Solutions
Dhagash Mehta, Hung Nguyen, Konstantin Turitsyn
The manuscript addresses the problem of finding all solutions of power flow equations or other similar nonlinear system of algebraic equations. This problem arises naturally in a n…