Skip to main content

Improving Resilience and Situational Awareness in Interdependent Energy Networks during Adverse Events

PGR-P-1450

Key facts

Type of research degree
PhD
Application deadline
Tuesday 31 January 2023
Project start date
Sunday 1 October 2023
Country eligibility
International (open to all nationalities, including the UK)
Funding
Competition funded
Source of funding
University of Leeds
Supervisors
Mr Amir Abiri Jahromi and Professor Mohsen Razavi
Schools
School of Electronic and Electrical Engineering
Research groups/institutes
Institute of Communication and Power Networks
<h2 class="heading hide-accessible">Summary</h2>

The interdependence between energy networks such as electric power systems, natural gas networks, and heating systems has been increasing over the past years. This interdependence is expected to accelerate and become more complicated in the next two decades by the movement towards decarbonisation of energy networks. For instance, gas-fired generating units play a crucial role in providing operational flexibility for the integration of renewable energy resources such as wind and solar. Thus, adverse events in one system can easily spread to other systems and cause cascading failures. This highlights the pressing need for the development of mathematical models and co-simulation platforms with the ability to analyse and simulate the interdependence between energy networks. Moreover, there is a pressing need for development of new technologies with the ability to improve the situational awareness and resilience of interdependent energy networks during adverse events.<br /> The objective of this project is to develop mathematical tools and co-simulation platforms with the ability to analyse the resilience of interdependent energy networks to cascading failures during adverse events. Moreover, we will investigate advanced technologies for improving the situational awareness and resilience of interdependent energy networks during adverse events. Applicants with a strong track record in any of the following fields are encouraged to apply for this position:<br /> 1) modelling and simulation of energy systems (solid background in power systems and experience in working with EMTP-RV, PSCAD, and optimization tools such as GAMS-CPLEX is a plus)<br /> 2) Computer science and computer networks (Experience in middleware software development is a plus)<br /> 3) Modelling and simulation of communication networks (Experience in working with Riverbed Modeler is a plus)

<h2 class="heading hide-accessible">Full description</h2>

<p>You can start your PhD from 1 August 2023 but you must be able to start by no later than 1 November 2023.</p>

<h2 class="heading">How to apply</h2>

<p>Formal applications for research degree study should be made online through the&nbsp;<a href="https://www.leeds.ac.uk/research-applying/doc/applying-research-degrees">University&#39;s website</a>. Please state clearly in the Planned Course of Study section that you are applying for <em><strong>PHD Electronic &amp; Electrical Engineering FT</strong></em> and in the research information section&nbsp;that the research degree you wish to be considered for is <em><strong>Improving Resilience and Situational Awareness in Interdependent Energy Networks during Adverse Events</strong></em> as well as&nbsp;<a href="https://eps.leeds.ac.uk/electronic-engineering/staff/8781/dr-amir-abiri-jahromi">Dr Amir Abiri Jahromi </a>as your proposed supervisor.</p> <p>If English is not your first language, you must provide evidence that you meet the University&#39;s minimum English language requirements (below).</p> <p><em>As an international research-intensive university, we welcome students from all walks of life and from across the world. We foster an inclusive environment where all can flourish and prosper, and we are proud of our strong commitment to student education. Across all Faculties we are dedicated to diversifying our community and we welcome the unique contributions that individuals can bring, and particularly encourage applications from, but not limited to Black, Asian, people who belong to a minority ethnic community, people who identify as LGBT+ and people with disabilities. Applicants will always be selected based on merit and ability.</em></p> <p class="MsoNoSpacing">Applications will be considered on an ongoing basis. &nbsp;Potential applicants are strongly encouraged to contact the supervisors for an informal discussion before making a formal application. &nbsp;We also advise that you apply at the earliest opportunity as the application and selection process may close early, should we receive a sufficient number of applications or that a suitable candidate is appointed.</p> <p>Please note that you must provide the following documents in support of your application by the closing date of 31 January 2023:</p> <ul> <li>Full Transcripts of all degree study or if in final year of study, full transcripts to date</li> <li>Personal Statement outlining your interest in the project</li> <li>CV</li> <li>Funding information including any alternative sources of funding that you are applying for or if you are able to pay your own fees and maintenance</li> </ul>

<h2 class="heading heading--sm">Entry requirements</h2>

Applicants to research degree programmes should normally have at least a first class or an upper second class British Bachelors Honours degree (or equivalent) in an appropriate discipline. The criteria for entry for some research degrees may be higher, for example, several faculties, also require a Masters degree. Applicants are advised to check with the relevant School prior to making an application. Applicants who are uncertain about the requirements for a particular research degree are advised to contact the School or Graduate School prior to making an application.

<h2 class="heading heading--sm">English language requirements</h2>

The minimum English language entry requirement for research postgraduate research study is an IELTS of 6.0 overall with at least 5.5 in each component (reading, writing, listening and speaking) or equivalent. The test must be dated within two years of the start date of the course in order to be valid. Some schools and faculties have a higher requirement.

<h2 class="heading">Funding on offer</h2>

<p class="MsoNoSpacing">A highly competitive School of Electronic &amp; Electrical Engineering Studentship consisting of the award of fees at the UK fee rate of &pound;4,596 or Non-UK fee rate of &pound;25,500 (currently in academic session 2022/23) together with a maintenance grant (currently &pound;17,668 for session 2022/23) for 3.5 years.</p> <p class="MsoNoSpacing">This opportunity is open to all applicants. All candidates will be placed into the School of Electronic &amp; Electrical Engineering Studentship Competition and selection is based on academic merit.<br /> <br /> <strong>Important:&nbsp;</strong> Any costs associated with your arrival at the University of Leeds to start your PhD including flights, immigration health surcharge/medical insurance and Visa costs are <strong>not</strong> covered under this studentship.</p> <p>Please refer to the&nbsp;<a href="https://www.ukcisa.org.uk/">UKCISA</a>&nbsp;website for&nbsp;information regarding Fee Status for Non-UK Nationals.</p>

<h2 class="heading">Contact details</h2>

<p>For further information about this project, please contact Dr Amir Abiri Jahromi: e: <a href="mailto:a.abirijahromi@leeds.ac.uk">a.abirijahromi@leeds.ac.uk</a></p> <p>For further information about your application, please contact Doctoral College Admissions: e:&nbsp;<a href="mailto:phd@engineering.leeds.ac.uk">phd@engineering.leeds.ac.uk</a></p>


<h3 class="heading heading--sm">Linked funding opportunities</h3>