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Exploiting phasor measurement units for enhanced transmission network operation and control
This thesis was submitted for the degree of Doctor of Engineering and awarded by Brunel UniversityIn order to achieve binding Government targets towards the decarbonisation of the electricity network, the GB power system is undergoing an unprecedented amount of change. A series of new technologies designed to integrate massive volumes of
renewable generation, predominantly in the form of offshore wind, asynchronously
connecting to the periphery of the transmission system, are transforming the requirements of the network. This displacement of traditional thermal generation is leading to a significant reduction in system inertia, thus making the task of system operation more challenging. It is therefore deemed necessary to develop tools and technologies that provide far greater insight into the state of the power system in real-time and give rise to methods for improving offline modelling practices through an enhanced understanding of the systems performance.
To that extent PMUs are seen as one of the key enablers of the Smart Grid, providing accurate time-synchronised measurements on the state of the power system, allowing the true dynamics of the power system to be captured and analysed. This thesis provides an analysis of the existing PMU deployment on the GB transmission system with a view to the future system monitoring requirements. A critical evaluation and comparison is also provided on the suitability of a University based Low Voltage PMU network to further enhance the visibility of the GB system. In addition a novel event detection algorithm based on Detrended Fluctuation Analysis is developed and demonstrated, designed to determine the
exact start time of a transmission event, as well as the suitability of such an event
for additional transmission system analysis, namely inertia estimation. Finally, a
reliable method for the estimation of total system inertia is proposed that includes
an estimate of the contribution from residual sources, of which there is currently
no visibility. The proposed method identifies the importance of regional inertia and its impact to the operation of the GB transmission system.Engineering and Physical Sciences Research Council (EPSRC) and National Grid
Fish tracking technology development. Phase 1 project definition desk study
The document reports on Phase 1 of a definition study to appraise the options to develop fish tracking equipment, in particular tags and data logging systems in order to improve the efficiency of the Environment Agency's tracking studies and to obtain a greater understanding of fish
biology.
Covered in this report are radio telemetry, audio telemetry, High Resolution Position Fixing, data storage and archival tags and other fish tracking systems such as biosonics
Operation and restoration of bulk power systems using distributed energy resources and multi-microgrids
The fast-paced and meaningful penetration of distributed energy resources (DERs), such
as variable renewable energy sources (RESs), concurrently with the widespread occurrence of
natural disasters and man-made threats, has raised several challenges for the modern bulk power
systems (BPSs) status quo. Although the DERs are demanding new solutions to ensure adequate
stability and security levels, these resources enable significant opportunities to improve
multiple BPS perspectives. In this view, seeking to capitalize on these novel features, while
aware of the significant changes to BPS outlook, this thesis is focused on developing new
methods able to capitalize on modern monitoring infrastructures, DERs and control areas
opportunities toward the improvement of BPS operation and stability.
Specifically, the thesis focuses on: 1) First, a novel method for the improvement of the
static security region (SSR) is proposed based on a new network partitioning algorithm. The
proposed algorithm focuses on modern BPS with high penetration of variable RES generation.
It divides the BPS into coherence areas according to its criticality mapping, and consequently,
areas are adaptively associated with SSRs generators groups. To this end, each bus is assigned
a criticality index from the potential energy function, whereas this calculation is based on the
data of the wide-area measurement system (WAMS) using phasor measurement unit (PMU);
2) Second, a novel area-based sensitivity index for voltage stability support is proposed,
exploring both the network-wide sensitivity and the local characteristics of voltage collapse.
The developed index focuses on the determination of the most effective buses for voltage
support and their respective capability of increasing the system’s load margin. For this, a novel
area-based outlook is developed taking advantage of the new possibilities enabled by BPS
distributed controllable resources, such as flexible resources (FRs)
Electromechanical Dynamics of High Photovoltaic Power Grids
This dissertation study focuses on the impact of high PV penetration on power grid electromechanical dynamics. Several major aspects of power grid electromechanical dynamics are studied under high PV penetration, including frequency response and control, inter-area oscillations, transient rotor angle stability and electromechanical wave propagation.To obtain dynamic models that can reasonably represent future power systems, Chapter One studies the co-optimization of generation and transmission with large-scale wind and solar. The stochastic nature of renewables is considered in the formulation of mixed-integer programming model. Chapter Two presents the development procedures of high PV model and investigates the impact of high PV penetration on frequency responses. Chapter Three studies the impact of PV penetration on inter-area oscillations of the U.S. Eastern Interconnection system. Chapter Four presents the impacts of high PV on other electromechanical dynamic issues, including transient rotor angle stability and electromechanical wave propagation. Chapter Five investigates the frequency response enhancement by conventional resources. Chapter Six explores system frequency response improvement through real power control of wind and PV. For improving situation awareness and frequency control, Chapter Seven studies disturbance location determination based on electromechanical wave propagation. In addition, a new method is developed to generate the electromechanical wave propagation speed map, which is useful to detect system inertia distribution change. Chapter Eight provides a review on power grid data architectures for monitoring and controlling power grids. Challenges and essential elements of data architecture are analyzed to identify various requirements for operating high-renewable power grids and a conceptual data architecture is proposed. Conclusions of this dissertation study are given in Chapter Nine
Security Analysis of Phasor Measurement Units in Smart Grid Communication Infrastructures
Phasor Measurement Units (PMUs), or synchrophasors, are rapidly being deployed in the smart grid with the goal of measuring phasor quantities concurrently from wide area distribution substations. By utilizing GPS receivers, PMUs can take a wide area snapshot of power systems. Thus, the possibility of blackouts in the smart grid, the next generation power grid, will be reduced. As the main enabler of Wide Area Measurement Systems (WAMS), PMUs transmit measured values to Phasor Data Concentrators (PDCs) by the synchrophasor standard IEEE C37.118. IEC 61850 and IEC 62351 are the communication protocols for the substation automation system and the security standard for the communication protocol of IEC 61850, respectively. According to the aforementioned communication and security protocols, as well as the implementation constraints of different platforms, HMAC-SHA1 was suggested by the TC 57 WG group in October 2009. The hash-based Message Authentication Code (MAC) is an algorithm for verifying both message integrity and authentication by using an iterative hash function and a supplied secret key. There are a variety of security attacks on the PMU communications infrastructure. Timing Side Channel Attack (SCA) is one of these possible attacks. In this thesis, timing side channel vulnerability against execution time of the HMAC-SHA1 authentication algorithm is studied. Both linear and negative binomial regression are used to model some security features of the stored key, e.g., its length and Hamming weight. The goal is to reveal secret-related information based on leakage models. The results would mitigate the cryptanalysis process of an attacker.
Adviser: Yi Qia
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