A5057620433- Microgrid Control and Optimization
- Fault Detection and Control Systems
- Stability and Control of Uncertain Systems
- Advanced DC-DC Converters
- Adaptive Control of Nonlinear Systems
- Advanced Control Systems Optimization
- Multilevel Inverters and Converters
- Power System Optimization and Stability
- Smart Grid Energy Management
- Optimal Power Flow Distribution
- Advanced Battery Technologies Research
- Advanced Memory and Neural Computing
- Frequency Control in Power Systems
- Low-power high-performance VLSI design
- VLSI and FPGA Design Techniques
- Fuel Cells and Related Materials
- Control Systems and Identification
- Wind Turbine Control Systems
- Target Tracking and Data Fusion in Sensor Networks
- Electric Power System Optimization
- Energy Load and Power Forecasting
- Smart Grid Security and Resilience
- Neuroscience and Neural Engineering
- Photovoltaic System Optimization Techniques
- Control and Dynamics of Mobile Robots
The University of Western Australia
2016-2025
New Technology (Israel)
2023
Institute of Electrical and Electronics Engineers
2021-2023
American Health Network
2021-2023
Antea Group (France)
2023
Canadian Standards Association
2020-2022
Curtin University
2021
Renewable Energy Systems (United States)
2021
ORCID
2020
Purdue University West Lafayette
2016
The increasing penetration of photovoltaic has been reshaping the electricity net load curve, which a significant impact on power system operation and short-term dispatch scheduling. Accurate forecasting is essential to ensure reliable economical operations system. Nonetheless, most existing approaches are mostly focused at household, distribution or microgrid level, but not grid system-wide level. They also suffer from low accuracy due presence uncertainties high-frequency fluctuations in...
Long-term load forecasting (LTLF) models play an important role in the strategic planning of power systems around globe. Obtaining correct decisions on network expansions or restrictions based predictions help substantially reduce grid infrastructure costs. The classical approach LTLF is limited to usage artificial neural networks (ANN) regression-based approaches along with a large set historical electricity load, weather, economy and population data. Considering drawbacks methods, this...
The design of a minimum-order linear functional observer for time-invariant systems has been an open problem over four decades. This technical note provides solution to this problem. also introduces the concept <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Functional Observability/Detectability</i> and shows that well-known Observability/Detectability is special case .
This paper presents a novel particle filter based dynamic state estimation scheme for power systems where the states of all generators are estimated. The proposed is decentralized in that each module independent from others and only uses local measurements. implementation makes numerically simple to implement. What this method superior previous methods which mainly on Kalman filtering technique can still remain smooth accurate presence noise with unknown changes covariance values. Moreover,...
With the penetration of renewable generation and tightly regulated power electronic loads, quality stability modern dc microgrids are greatly challenged. To solve this problem, energy storage systems (ESSs) widely proposed. Unfortunately, most existing control methods for ESSs can only ensure with small signal disturbances, which may not be satisfying real-time applications where large disturbances exist. Moreover, they usually designed low boost ratio converters, negating their suitability...
A simple floating mutator circuit for achieving transformations among memristor (MR), memcapacitor (MC), and meminductor (MI) emulations is newly designed in this brief by making use of varactor diode with variable capacitance. The transformation can be achieved properly configuring the passive elements two preserved positions circuit. most attractive advantages terminals without requirement any mem-elements transformation. topology suitable integrated design. Simulation experimental results...
In this paper, the design of an expert proportional-integral-derivative (PID) control system for blood glucose regulation in patients, such as intensive care population, is described. The applied concept system, and proportional, integral derivative clinical sliding table technique, to effect a algorithm form "active" that used prescribe insulin infusion rates. This combination provided dynamic properties control. Clinical results have shown comparable performance between routine treatment,...
A study was conducted to determine if continuous subcutaneous glucose monitoring (from MiniMed CGMS) could be used in real-time control blood sugar level (BSL) patients with critical illness. closed-loop system constructed use CGMS a manner, coupled proportional integral (PI) algorithm based on sliding scale approach, for automatic intravenous infusion of insulin patients. total five subjects high BSL (> 10 mmol/L) participated formal studies the system. Subjects were recruited from...
Nowadays, enabled by current smart grid technology, electricity consumers can play an active role in providing ancillary service (AS) as a type of demand response. Participating AS assist stabilizing the power following frequency regulation signal, or dynamic signal (RegD) this study while receiving economic benefits. Industrial loads are indispensable component demand-side regulating resource due to their intensive consumption. In paper, we use grid-connected solar photovoltaics panels...
In this brief, we propose a novel locally active memristor based on voltage-controlled generic model and use the analysis methods of standard nonlinear theory to analyze its characteristics illustrate concept local activity via dc v-i loci non-volatile memory power-off plot memristor. A chaotic attractor is observed with simple circuit that only includes three elements in parallel: 1) memristor; 2) linear passive inductor; 3) capacitor. Then, dynamical above show complex bifurcation behaviors.
This work investigates a new formation control problem of multiple underactuated surface vessels. The controller design is based on input-output linearisation technique, graph theory, consensus idea and some nonlinear tools. proposed smooth time-varying distributed law guarantees that the vessels globally exponentially converge to desired geometric shape, which especially centred at initial average position Furthermore, stability analysis zero dynamics proves orientations tend constants are...
Accurate real-time state estimation plays an important role in distributed generation (DG) networks. In order to establish a reliable communication link for estimation, information-centric networking (ICN) was employed with the development of smart grids technology. However, widespread adoption DG network boosts amount data transmitted through ICN, which is now performance bottleneck estimation. By fully considering nonlinearity system, this paper develops event-trigger particle filter...
An impedance network dc-dc boost converter is developed in this letter. Compared to the conventional converter, it can reach a higher voltage gain with fewer diodes and small duty cycle (smaller than 33%) and, meanwhile, avoid instability caused by saturation of its inductors, whereas converters realize high-voltage gains at rather large cycles (normally exceeding 50%) resulting inductors. Furthermore, well fulfill stringent industrial requirements, particularly renewable power systems. The...
Many power electronic systems require dual-active-bridge (DAB) converters with ultrafast dynamic response. This paper presents a load-feedforward control design for DAB current-mode modulation, which can enhance the response to fast load transients and current-reference step changes. A simplified nonlinear feedforward formula (NFF) linear (LFF) are proposed, be selected depending on required accuracy (and acceptable computational complexity). The performance of converter operating in voltage...
This paper presents a general framework for the doubly fed induction generator connected to complex power system in order facilitate dynamic estimation of its states using noisy PMU measurements. State considering whole with occurrence electric faults is performed Unscented Kalman Filter (UKF) bad data detection scheme. Such state scheme DFIG important because not all are easily measurable. Furthermore, proposed technique decentralized and network topology entire taken into consideration...
The development of distributed generation raises high requirement on accurate real-time state estimation with phasor measurement unit (PMU) for wide-area systems (WAMSs). Although the particle filter is among best in performance, its computation burden truly heavy toward smart sensors current generation. Besides, infrastructure PMU data communication confronted challenges amount boosted by sampling frequency PMUs and booming grid size. This paper proposes an event-trigger heterogeneous...
This article proposes a novel filter, which is based on the event-triggered schedule and cubature Kalman filter (CKF), to perform nonlinear remote state estimation in wireless sensor network with communication constraints. For purpose of relieving burden between sensors utilized determine whether current observations should be sent. To deal non-Gaussian property due transformation, third-degree spherical-radial rule adopted provide accurate estimation. Moreover, stochastic stability designed...