- Power System Optimization and Stability
- Optimal Power Flow Distribution
- Smart Grid Energy Management
- Microgrid Control and Optimization
- Smart Grid Security and Resilience
- Power Systems and Technologies
- Electric Power System Optimization
- HVDC Systems and Fault Protection
- Power Systems Fault Detection
- Power System Reliability and Maintenance
- Energy Load and Power Forecasting
- Power Line Communications and Noise
- Electric Vehicles and Infrastructure
- Islanding Detection in Power Systems
- Distributed and Parallel Computing Systems
- Advanced Battery Technologies Research
- Wind Turbine Control Systems
- Smart Grid and Power Systems
- Advanced Numerical Methods in Computational Mathematics
- High-Voltage Power Transmission Systems
- Advanced Computational Techniques and Applications
- Electric Motor Design and Analysis
- Network Traffic and Congestion Control
- Power Systems and Renewable Energy
- Cloud Computing and Resource Management
Brunel University of London
2016-2025
University of London
2024
UK Power Networks
2015-2017
University of the West of England
2017
Sichuan University
2016
Savannah River National Laboratory
2010-2014
University of Oxford
2011
Universiti Brunei Darussalam
2006-2009
Arizona State University
2007
University West
2006
A strategy for volt/VAr control in distribution systems is described. The aim to determine optimum dispatch schedules on-load tap changer (OLTC) settings at substations and all shunt capacitor switching based on the day-ahead load forecast. To reduce operations OLTC substations, a time-interval adopted that decomposes daily forecast into several sequential levels. genetic algorithm procedure used both level partitioning scheduling. proposed minimises power loss improves voltage profile whole...
Photovoltaic (PV) generation involves the direct conversion of sunlight into electrical energy. In recent years it has proved to be a cost-effective method for generating electricity with minimum environmental impact. Due and economic benefits PV is now being deployed worldwide as an embedded renewable energy source extensive research performed in order study assess effectiveness arrays Distributed Generation (DG) systems either potential or reserve combination other types distributed...
A novel differential evolution algorithm (DEA) is applied directly to the DC power flow-based model in order efficiently solve problems of static and multistage transmission expansion planning (TEP). The purpose TEP minimise investment cost associated with technical operation economical constraints. Mathematically, long-term using a mixed integer nonlinear programming problem that difficult for large-scale real-world networks. In addition, considered both without resizing generation this...
Transient stability assessment is playing a vital role in modern power systems. For this purpose, machine learning techniques have been widely employed to find critical conditions and recognize transient behaviors based on massive data analysis. However, an ever increasing volume of generated from systems poses number challenges traditional techniques, which are computationally intensive running standalone computers. This paper presents MapReduce high performance neural network enable fast...
The inherent reduction in inertial frequency response resulting from a shift generation mix towards renewables, is presenting range of operational planning challenges for transmission system operators (TSOs) globally. Dictating the ability to maintain following significant mismatches supply and demand, it great consequence real-time operation power system. In this paper we discuss estimation inertia constant using synchronised data, provided by installed phasor measurement units (PMUs)....
Providing frequency response capability from wind farms is technically feasible, but relies on spilling the wind. Wind intermittency and planned expansion in offshore power U.K. are expected to lead increased requirements for capability. This may necessitate times where operate a sensitive manner output only proportion of available power. Compensating spilt energy would likely costs balancing system. paper highlights alternative provide capability: using farm level storage. The Vanadium...
Large-scale integration of battery energy storage systems (BESS) in distribution networks has the potential to enhance utilization photovoltaic (PV) power generation and mitigate negative effects caused by electric vehicles (EV) fast charging behavior. This paper presents a novel deep reinforcement learning-based scheduling strategy for BESS which is installed an active network. The network includes EV demand, PV generation, electricity arbitrage from main grid. aim maximize profit operator...
To achieve net-zero emissions in aviation with defined CO2 mitigation objectives "Flightpath 2050″, electric aircraft (EA) becomes an attractive technology. Many prototypes a fully electrically powered propulsion system for short-haul commuting air transport have been designed recent years. Planning and designing the ground power systems associated charging operations are also essential realising electrified aviation. In this work, bi-objective infrastructure planning framework airport...
Photovoltaic (PV) generation has now-a-days proved to be a cost-effective method for renewable power with minimum environmental impact. Due and economic benefits, PV is now being widely deployed as distributed energy resources (DER) in systems or microgrids. Extensive laboratory-based research simulation studies are performed assessing its effectiveness DER Simulation mostly involve development of mathematical models which can account the variation output solar irradiance ambient temperature...
Phasor measurement units (PMUs) are being rapidly deployed in power grids due to their high sampling rates and synchronized measurements. The devices data reporting present major computational challenges the requirement process potentially massive volumes of data, addition new issues surrounding storage. Fast algorithms capable processing now required field systems. This paper presents a novel parallel detrended fluctuation analysis (PDFA) approach for fast event detection on PMU taking...
The phasor measurement unit (PMU), with its ability to directly calculate synchronized positive sequence voltages and currents (magnitude phase), offers a more current accurate view of the power system compared that provided by traditional measurements state estimation (SE). However, high-resolution data, at rates 50 Hz 60 (dependant on nominal frequency), capture any transient or dynamic events occurring network, potentially distorting intended steady-state various points system. In this...
Photovoltaic (PV) systems can reduce greenhouse gas emissions while providing rapid reactive power support to the electric grid. At distribution grid level, PV inverters are controlled system's active loss and address problems caused by themselves. For example, may face overvoltages due high generation during off-peak hours. In this paper, a control approach for is proposed injection/absorption of system solving overvoltage problem. To achieve this, controller periodically dispatches...
Abstract New basis functions and solution procedures for p‐version finite element analysis are described. They used in a highly efficient solver linear elastostatics dynamics, which has been an industrial environment over two years. Using sample applications it is shown that, using the techniques proposed here, can have substantially lower computational cost, given accuracy, than standard methods. This makes applicability of much wider commonly believed.
Abstract A vertex‐based finite volume (FV) method is presented for the computational solution of quasi‐static solid mechanics problems involving material non‐linearity and infinitesimal strains. The are analysed numerically with fully unstructured meshes that consist a variety two‐ three‐dimensional element types. detailed comparison between FV standard Galerkin FE methods provided regard to discretization, accuracy efficiency. For some problem classes direct equivalence two demonstrated,...
Cloud Computing provides an optimal infrastructure to utilise and share both computational data resources whilst allowing a pay-per-use model, useful cost-effectively manage hardware investment or maximise its utilisation. also offers transitory access scalable amounts of resources, something that is particularly important due the time financial constraints many user communities. The growing number communities are adopting large public cloud such as Amazon Web Services [1] Microsoft Azure...
The development of state estimation (SE) tools for distribution networks is receiving increased attention as the traditionally passive systems have become far more active. high dimensionality a system model may lead to very computation times. This paper addresses these issues and proposes an SE algorithm that analyzes network which has been split into overlapping zones, enabling parallel application algorithm. developed provide compatibility with requirements. novelty lies in its capability...
A novel extended network for service restoration optimization problem under distributed generation scenarios is presented in which the main and DG island problems are integrated into a unified spanning-tree problem. The proposed technique aimed to realize synchronous of both restorations, thus ensure algorithms that used find global solution. fast loop-breaking also this paper. Based on circuit-branch correlation matrix, can break loops distribution systems through matrix operations...
This article discusses the potential benefits of grid computing for future power networks. It is also intended to alert system community concept and initiate a discussion its applications in systems. Much like Web, can operate over Internet or any other suitable computer networking technology. Grid offers an inexpensive efficient means participants compete (but cooperate) providing reliable, cheap, sustainable electrical energy supply. provides relatively new technology allowing output...