- Power Transformer Diagnostics and Insulation
- High voltage insulation and dielectric phenomena
- Optimal Power Flow Distribution
- Microgrid Control and Optimization
- Smart Grid Energy Management
- Electric Power System Optimization
- Power System Optimization and Stability
- Lightning and Electromagnetic Phenomena
- Power System Reliability and Maintenance
- Power Quality and Harmonics
- HVDC Systems and Fault Protection
- Energy Load and Power Forecasting
- Photovoltaic System Optimization Techniques
- Magnetic Properties and Applications
- Islanding Detection in Power Systems
- Electric Vehicles and Infrastructure
- Thermal Analysis in Power Transmission
- Smart Grid Security and Resilience
- Wind Turbine Control Systems
- Power Systems Fault Detection
- Integrated Energy Systems Optimization
- Advanced Battery Technologies Research
- Solar Radiation and Photovoltaics
- Electrical Fault Detection and Protection
- Image and Signal Denoising Methods
The University of Queensland
2016-2025
Queensland University of Technology
2015-2024
Griffith University
2023
Singapore University of Technology and Design
2020
Princeton University
2020
Henan Normal University
2015
National Institute of Technology Durgapur
2009-2014
Honeywell (United States)
2012
Électricité de France (France)
2011
Powerlink Queensland (Australia)
2009
Cellulosic paper and oil insulation in a transformer degrade at higher operating temperatures. Degradation is accelerated the presence of oxygen moisture. Power transformers being expensive items need to be carefully monitored throughout their operation. Well established time-based maintenance conservative replacement planning not feasible current market driven electricity industry. Condition based online monitoring are now gaining importance. Currently there varieties chemical electrical...
Peer-to-peer trading is a next-generation energy management technique that economically benefits proactive consumers (prosumers) transacting their as goods and services. At the same time, peer-to-peer also expected to help grid by reducing peak demand, lowering reserve requirements, curtailing network loss. However, large-scale deployment of in electricity networks poses number challenges modeling transactions both virtual physical layers network. As such, this article provides comprehensive...
Peer-to-peer (P2P) energy trading has emerged as a next-generation energy-management mechanism for the smart grid that enables each prosumer (i.e., an consumer who also produces electricity) of network to participate in with other prosumers and grid. This poses significant challenge terms modeling decisionmaking process participants' conflicting interests motivating cooperate, if necessary, achieving different goals. Therefore, such needs be built on solid mathematical signal processing...
Peer-to-peer trading in energy networks is expected to be exclusively conducted by the prosumers of network with negligible influence from grid. This raises critical question: how can enough encouraged participate peer-to-peer so as make its operation sustainable and beneficial overall electricity network? To this end, paper proposes a motivational psychology framework used effectively design increase user participation. do so, first, state-of-the-art literature discussed following...
This paper proposes a peer-to-peer (P2P) energy trading scheme that can help centralized power system to reduce the total electricity demand of its customers at peak hour. To do so, cooperative Stackelberg game is formulated, in which acts as leader needs decide on price period incentivize prosumers not seek any from it. The prosumers, other hand, act followers and respond leader's decision by forming suitable coalitions with neighboring order participate P2P meet their demand. properties...
Over the last decade, many power systems have significantly changed with proliferation of renewable generation sources, such as wind and solar photovoltaic. Due to their variability nonsynchronous nature, new challenges complexities emerged regarding operational security modern systems. The 2016 South Australia (SA) blackout was first known due a high situation. An official report has recently been published review causes provide corresponding recommendations for improvement network...
Several studies on voltage stability analysis of electric systems with high photovoltaic (PV) penetration have been conducted at a power-transmission level, but very few focused small-area networks low voltage. As distribution system has its special characteristics-high R/X ratio, long tap switching delay, small PV units, and so on-PV integration impacts also need to be investigated thoroughly level. In this paper, the IEEE 13 bus modified extended explore network variable generation,...
This paper explores the feasibility of social cooperation between prosumers within an energy network in establishing their sustainable participation peer-to-peer (P2P) trading. In particular, a canonical coalition game (CCG) is utilized to propose P2P trading scheme, which set participating form group trade energy, if there any, with one another. By exploring concept core designed CCG framework, mid-market rate as pricing mechanism proposed confirm stability well guarantee benefit for...
There are more large-scale photovoltaic (PV) plants being established in rural areas due to availability of low-priced land. However, distribution grids such traditionally have feeders with low X/R ratios, which makes the independent reactive power compensation method less effective on voltage regulation. Consequently, upstream step regulator (SVR) may suffer from excessive tap operations PV-induced fast fluctuations. Although a battery energy storage system (BESS) can successfully smooth PV...
In this paper we propose a one-dimensional convolutional neural network (CNN)-based state of charge estimation algorithm for electric vehicles. The CNN is trained using two publicly available battery datasets. influence different types noises on the capabilities model has been studied. Moreover, transfer learning mechanism proposed in order to make developed generalize better and estimate with an acceptable accuracy when chemical characteristics than one used training model, used. It...
Moisture and ageing strongly influence the dielectric properties of oil/paper insulation system power transformer. measurement in oil sample generally gives inconclusive information since moisture equilibrium is temperature dependent takes a long time to be equilibrium. Direct paper not practicable for in-service transformers. The evaluation "dielectric response" conductivity one possible way diagnosing transformer condition. In recent research project, polarization depolarization current...
Preventive diagnosis and maintenance of transformers have become more popular in recent times order to improve the reliability electric power systems. Dielectric testing techniques such as return voltage measurement (RVM) polarization-depolarization current (PDC) are being investigated potential tools for condition assessment transformer insulation. A better understanding analysis dielectric test results only possible with a clear physical behavior insulation system response moisture aging....
Dielectric testing techniques, in both time and frequency domains, are currently widely used by power utilities for assessment of the condition transformer oil-paper insulation systems. However, it has been reported that results these tests highly influenced operating temperature during measurements. The distribution, migration equilibrium moisture between oil paper a complicated system is dependent. It requires adequate experience proper understanding to interpret dielectric response...
Properties of oil and paper in a transformer degrade primarily due to thermal ageing moisture ingress. Dielectric diagnostic tests, such as Recovery Voltage (RV), Polarizations Depolarization Current (PDC) measurement are currently being explored potential tools for insulation condition assessment. A modern chemical analysis tool molecular weight (MW) measurement, Gel Permeation Chromatography (GPC) or the more accurately described Size Exclusion (SEC) promises be useful assessing condition....
The installed capacity of wind generation and photovoltaics (PV) in many countries is going to dominate fleets a bid meet growing renewable energy targets. Synchronous inertia has never been problematic as there was more available than needed, but it being significantly reduced due the increasing integration nonsynchronous generation. When low bidding priced PV becomes considerably large, conventional economic dispatch algorithms can result less online synchronous put power system security...
This paper provides an overview of the electric field (E-field) distribution on transmission line composite insulators applied in alternating current applications. Factors that affect E-field are discussed as well influence short and long term performance. Modeling measurement methods reported examples calculated magnitudes determined presented together with corona ring application information. was developed by IEEE Task force fields insulators.
With the integration of data and information obtained from a variety chemical electrical tests on transformer insulating oil, it is possible to evaluate health condition insulation system an in-service power transformer. This paper develops intelligent algorithm for automatically processing collected oil determining index system. adopts fuzzy support vector machine (FSVM) approach, which constructs statistical model using training database based historic 181 transformers. The procedure...
Partial discharge (PD) source classification aims to identify the types of defects causing discharges in high voltage (HV) equipment. This paper presents a comprehensive study applying pattern recognition techniques automatic PD classification. Three challenging issues are investigated this paper. The first issue is feature extraction for obtaining representative attributes from original measurement data. Several approaches including stochastic neighbour embedding (SNE), principal component...
Increasing electrical energy demand, modern lifestyles and usage patterns have made the world fully dependant on power systems. This instigated mandatory requirements for operators to maintain high reliability stability of system grid. However, is a highly nonlinear system, which changes its operations continuously. Therefore, it very challenging uneconomical make be stable all disturbances. The usually designed handle single outage at time. during last decade several major blackouts were...
Buildings consume 60% of global electricity. However, current building management systems (BMSs) are highly expensive and difficult to justify for small- medium-sized buildings. The Internet Things (IoT), which can collect monitor a large amount data on different aspects feed the BMS's processor, provides new opportunity integrate intelligence into BMS monitoring managing building's energy consumption reduce costs. Although an extensive literature is available on, separately, IoTbased BMSs...
In a geographically small distribution area, fast moving clouds may cover the whole area within short period causing photovoltaic (PV) power to drop. When feeder loses PV support, bus voltages will decrease. an unbalanced network, asymmetrical spacing and non-transposition of line configurations can result in different voltage drops for each phase. This potentially cause some problems after decline generation, such as extremely low magnitude certain phase unacceptable imbalance level at...