Đình Hòa Nguyễn 교수

This paper proposes a novel optimization model and a novel approach to derive new demand response (DR) and real-time pricing schemes for smart grid in which renewable energy and power losses are taken into account. In our proposed optimization model, a time-varying load constraint is introduced to better capture the consumption variation of customers and hence gives our approach an adaptive feature as well as facilitates DR. Then our approach enables all generation and demand units to actively c

This paper proposes a novel distributed control architecture for synchronization of the active/reactive power sharing, energy levels, frequency/voltage of distributed battery energy storage systems (BESSs) using inter-BESS communications. The local information of each BESS is exchanged with a few other neighboring BESSs to achieve a consensus. The consensus speed is significantly improved by introducing an inner control loop for energy levels. The droop frequency/voltage control is also added to

This paper investigates the problem of bidirectional energy exchange between electric vehicles (EVs) and road lanes embedded with wireless power transfer technologies called wireless charging-discharging lanes (WCDLs). As such, EVs could provide better services to the grid, especially for balancing the energy supply-demand, while bringing convenience for EV users, because no cables and EV stops are needed. To enable this EV-WCDL energy exchange, a novel decentralized peer-to-peer (P2P) trading m

Materials chemistry is being profoundly influenced by the uptake of machine learning methodologies. Machine learning techniques, in combination with established techniques from computational physics, promise to accelerate the discovery of new materials by elucidating complex structure–property relationships from massive material databases. Despite exciting possibilities, further methodological developments call for a greater synergism between materials chemists, physicists, and engineers on one

This paper proposes a novel approach to analyze and design distributed robust consensus control algorithms for general linear leaderless multiagent systems (MASs) subjected to relative-state constraints or uncertainties represented by a locally or a globally sector-bounded condition. First, we show that the MAS robust consensus design under relative-state constraints or uncertainties is equivalent to the robust stability design under state constraints or uncertainties of a transformed MAS, which

This research proposes and analyzes a dynamic optical wireless power transfer (OWPT) system for wireless charging of aerial and ground electric vehicles (EVs). In this system, an overhead facility is proposed to locate laser transmitters, renewable energy resources, and energy storage devices. There are laser transmitters on the facility’s roof pointing upward to wirelessly charge aerial EVs, while the other laser transmitters on the facility’s ceiling pointing downward to wirelessly charge grou

Distinct characteristics of transmission and distribution power grids typically necessitate different control algorithms, especially at the primary control level where quick responses are required. Accordingly, various droop control schemes have been developed due to specific types of power grid impedances. Therefore, controllers at higher levels often have to be redesigned whenever a different power grid is considered, hence, incurring higher cost and effort. As a way to overcome that problem,

This paper presents an analysis on the performance of an optical wireless power transfer system in which optical transceivers made from a perovskite are used. Experiments are performed under different settings, whose resulted data reveal interesting findings. First, system performance is only matched with the existing theory when no collimating lens is employed. Hence, a data-driven mathematical model is proposed and verified when a collimating lens is used. Second, a collimating lens helps incr

This paper studies the automated demand response (DR) problem in smart grids equipped with information and communication technology networks, where power generating and consuming units can exchange information as a multiagent system (MAS), and a real-time pricing (RTP) scheme is proposed. When the communication graph among agents is connected, a novel parallel and distributed consensus-based algorithm is proposed to derive an RTP scheme to facilitate DR, and when communication uncertainties exis

This paper proposes a novel conceptual system of optical wireless power transfer (OWPT) between objects, which is different from the existing OWPT systems such that a single device—an optical transceiver—is employed. This optical transceiver, which is capable of both absorbing and emitting light, is fabricated from a metal halide perovskite known for its superior features that can help significantly reduce the whole system size and cost. The proposed system contributes to realizing a thing-to-th

Abstract In this paper, a new robust iterative learning control (ILC) algorithm has been proposed for linear systems in the presence of iteration‐varying parametric uncertainties. The robust ILC design is formulated as a min‐max problem using a quadratic performance criterion subject to constraints of the control input update. An upper bound of the maximization problem is derived, then, the solution of the min‐max problem is achieved by solving a minimization problem. Applying Lagrangian duality