Gareth Anthony Taylor

Brunel University London · Brunel Institute for Power Systems (BIPS)

The increasing penetration of Renewable Energy Sources (RES) in distribution networks has led traditional voltage regulation to their boundaries. In order to develop advanced techniques for voltage control in this new context, an adequate and real-time coordination and communication between Transmission System Operators (TSOs) and Distribution Syst...

Large-scale integration of battery energy storage systems (BESS) in distribution networks has the potential to enhance the utilization of photovoltaic (PV) power generation and mitigate the negative effects caused by electric vehicles (EV) fast charging behavior. This paper presents a novel deep reinforcement learning-based power scheduling strateg...

Reliability and performance measurement of the cloud computing platform is significant for future information and data exchange in power systems. This paper presents a novel approach for creating virtual machine clusters based on a service-oriented approach. Cloud computing techniques can be utilized to achieve greater interoperability between Tran...

This paper presents a novel hardware-in-the-loop (HIL) approach as used to investigate the impact of the reduction in inertia on the Great Britain (GB) electrical power system with regard to rate of change of frequency (RoCoF) settings for Loss-of-Mains (LoM) protection. Furthermore, the research as presented in this paper updates, enhances, and va...

Exchanging information and data using cloud computing in power systems is now becoming a common practice. However, there are still many challenges such as data security, interoperability, and scalability that need to be considered. In this paper, the authors have exploited blockchain technology to enhance data security. A blockchain based approach...

The increasing integration of renewable energy resources connected to the distribution networks has led to an increased installed capacity of distributed generation. In this context, new technical and operational challenges have arisen concerning data exchanges between transmission system operators (TSOs) and distribution system operators (DSOs), r...

Electric vehicles (EVs) play a key role in transport electrification and decarbonizing the society. EVs are becoming popular due to the advancement of drivetrain and battery technologies, with the support from plummeting costs. However, many countries are facing with challenges to accommodate large-scale adoption of electric vehicles due to the gre...

The growing penetration of renewable energy sources (RES) in the electrical power sector has increased the amount of distributed generation (DG) units connected at the distribution system level. In this context, new balancing challenges have arisen, creating the need for a novel use case methodology to enable an active role at the distribution syst...

Increasing levels of complexity, due to growing volumes of renewable generation with an associated influx of power electronics, are placing increased demands on the reliable operation of modern power systems. Consequently, phasor measurement units (PMUs) are being rapidly deployed in order to further enhance situational awareness for power system o...

The high penetration of new device technologies, such as Electric Vehicles (EV), and Distributed Generation (DG) in Distribution Networks (DNs) has risen new consumption requirements. In this context, it becomes crucial to implement a flexible, functional and fast responsive management of the voltage level and Reactive Power (RP) in the DN. The lat...

Electricity distribution is moving towards active, more flexible, smarter and decentralized energy systems. This transition requires System Operators (SO) to dynamically monitor and control the power flow across the network. Demand Response (DR) can be considered as an alternative solution to the costly investment of upgrading conventional Distribu...

Large-Scale Wind Turbine Deployment Operation and Control

With increasing amounts of asynchronous generation being deployed to meet system energy demands, many transmission corridors may become constrained by angular stability criteria rather than steady-state thermal limitations. In such a system, it is paramount to have the capability to rapidly evaluate the stability margins of the system, particularly...

In this era of advanced distribution automation technologies, demand response is becoming an important tool for electricity network management. The available flexible loads can efficiently help in alleviating the network constraints and achieving demand-supply balance. Therefore, this forms the rationale behind this paper, which aims to implement a...

The rapid deployment of Phasor Measurement Units (PMUs) in power systems globally is leading to Big Data challenges. New high performance computing techniques are now required to process an ever increasing volume of data from PMUs. To that extent the Hadoop framework, an open source implementation of the MapReduce computing model, is gaining moment...

In recent years, situation awareness and risk mitigation have become the challenging issues in large-scale power grids. This study presents a novel pair-wise relative energy function for real-time transient stability analysis and emergency control. The proposed energy function is able to accurately identify the clusters of critical and non-critical...

Synchronised harmonic analysis that utilises GPS signals to synchronise harmonic measurements enables advanced power quality analysis in smart grid. However, it is difficult to put this promising technology into practice due to an extremely high requirement on data storage and processing. To overcome this problem, this study presents a novel Hadoop...

Despite the growing deployment of mission critical applications on computing systems, trust and security continues to hinder its full adoption and deployment on cloud computing platforms. In addition to accountability and non-repudiation on the cloud deployment, end-users want to be confident of availability and reliability of services. For any clo...

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 data generated from power systems poses a number of challenges to...

Any large water treatment/production utility that employs autonomous plant as part of its processes will utilise supervisory control and data acquisition systems. These systems will generally be isolated from each other and will exist solely to serve the site they control and visualise. More often, they are delivered and developed organically throu...

In this paper, the costs and carbon savings in the economic dispatch (ED) problem of the power system operation are optimised. Energy demands and generation are forecast and assimilated using ensemble Kalman filter (EnKF). Optimisation is performed using the ensemble-based closed-loop production optimisation scheme (EnOpt). The real energy paramete...

The operational environment of today’s smart grids is becoming more complicated than ever before. A number of factors, including renewable penetration, marketization, cyber security, and hazards of nature, bring challenges and even threats to control centers. New techniques are anticipated to help dispatchers become aware of the accurate situations...

The optimal planning, operation, and management of electricity transmission networks requires a wide range of software applications, such as energy management systems, network planning tools, data historians, and asset management applications, which all need to exchange data with each other. Standard data models make these data exchanges possible b...

A high-performance predictor for critical unstable generators (CUGs) of power systems is presented in this paper. The predictor is driven by the MapReduce based parallelized neural networks. Specifically, a group of back propagation neural networks (BPNNs), fed by massive response trajectories data, are efficiently organized and concurrently traine...

Hadoop MapReduce has become a major computing technology in support of big data analytics. The Hadoop framework has over 190 configuration parameters, and some of them can have a significant effect on the performance of a Hadoop job. Manually tuning the optimum or near optimum values of these parameters is a challenging task and also a time consumi...

As a consequence of the progressive evolution of smart grid functionality, distribution systems are transitioning towards more active network management and are therefore posing significant challenges to the transmission system operators. The conventional approach of planning and operating the transmission and distribution systems, as virtually sep...

The accurate identification of the critical machines cluster is the critical feature for transient stability analysis. Two novel relative transient kinetic and potential energy function are deduced by traditional transient energy function method which is based on pair-wise generators. According to the aggregation of these relative energy at fault c...

The focus of this paper is on the nonparametric system design approach using a class of sampled regulators. Based on the review and evaluation of two stability design methods that were originally established for this class of sampled integral regulators, this paper has extended the stability theory and design algorithms in order to additionally con...

We quantify carbon (CO2) savings in the demand side response (DSR) programmes. We consider Short Term Operating Reserve (STOR), Triad, Fast Reserve and Smart Meter roll-out, with various types of smart interventions involved (using diesel generators, hydro-pumped generation and use of tariffs). We model CO2 emissions in each of the DSR programmes w...

As utilities move towards more intelligent and autonomous networks, there is increased requirement for the analysis of how these changes will affect network operations and performance. Phasor Measurement Units (PMUs) can be integrated into a network for the analysis and identification of bad data. As PMUs contain a Global Positioning System (GPS) c...

This paper presents the modelling and simulation of a wind turbine driven Permanent Magnet Synchronous Generator connected to a load. The system has been tested at different wind speeds. The machine side controller has been designed to match Maximum Power Point Tracking (MPPT) to obtain high extraction of wind power when connected to a load, whi...

Phasor measurement units (PMUs) are being rapidly deployed in power grids due to their high sampling rates and synchronized measurements. The devices high data reporting rates present major computational challenges in the requirement to process potentially massive volumes of data, in addition to new issues surrounding data storage. Fast algorithms...

The development of state estimation (SE) tools for distribution networks is receiving increased attention as the traditionally passive distribution systems have become far more active. The high dimensionality of a distribution system model may lead to very high computation times. This paper addresses these issues and proposes an SE algorithm that a...

This paper presents a new load curve methodology based on an enhancement of the Extended Ward equivalent for offline contingency analysis in GB transmission system. The proposed approach maintains the desirable properties of the Extended Ward equivalent method and can update the parameters by exchanging essential operational information between dif...

In this paper, a novel method is proposed for identifying the critical generator set following a system disturbance. The proposed method is specifically designed as an enhancement which works in conjunction with single machine equivalent (SIME) methods. The method utilizes an identical set of inputs, and the output yields an estimate of the set of...