项目介绍

2024年11月14日

Function

We are looking for an enthusiastic PhD researcher to conduct cutting-edge research at the interface of resilience and the electricity grid, combining socioeconomic, spatial and technical perspectives.

Energy systems are becoming more decentralized while there is increasing demand for electricity, creating growing vulnerabilities such as grid congestion and cybersecurity risks. It is therefore urgent to ensure a more resilient electricity grid.

To tackle this challenge, at technical level, there is need to design resilient operation strategies with fluctuating renewable generation, and to learn how to make system-level detection and prediction of malfunctions or cyber-attacks in power networks. From a socioeconomic and spatial perspective, there is need to create resilient market design and economic incentives, such as considering dynamic pricing, energy sharing and trading, stakeholders’ distribution of costs and benefits, and spatial differences.

In this project, a resilience assessment framework for electricity grids will first be developed, building on resilience theory and interdisciplinary methods in ecology and economics (e.g., the five Ws). Since energy systems can be modeled as networked systems, we will employ spatial and network analysis; where nodes represent components like substations and consumers, edges represent connections between them such as transmission lines, and network metrics can be used to identify critical components in the systems. Network failure or simulated attacks on nodes/edges could allow to prevent disruptions and identify potential vulnerabilities. A digital-twin approach will be employed to simulate various scenarios, including for example, peak load, component failures, attacks, and renewable energy fluctuations. The approach will empower optimal design for greater resilience of the energy system by improving our understanding and evaluating the vulnerability and the effectiveness of different strategies.

In your position as a PhD researcher, you will:

• Critically review existing resilience–electricity grid literature and develop a comprehensive resilience assessment framework for the electricity grid;
• Develop network models and conduct spatial and network analysis to assess the resilience of the system (electricity grid(s));
• Use a digital-twin approach to simulate various scenarios such as cyber-attacks and renewable energy fluctuations;
• Analyze different strategies for facilitating a more resilient grid, such as local energy and flexibility market design.

You will work here
The research is embedded within the chair groups Urban Economics and Biometric, which are led by Prof. Eveline van Leeuwen and Prof. Peter van Heijster. You will be co-supervised by Dr. Sol Maria Halleck Vega and Dr. Xiaodong Cheng.

Function Requirements

We are looking for a PhD candidate who:

• has a master’s degree (or is near completion of a master program) in the field of (Energy) Economics and/or Applied Mathematics, Systems and Control, or relevant fields;
• preferably has affinity with energy transition-related issues, particularly energy systems, electricity grids, (local) energy markets;
• preferably has expertise in mathematical modeling and optimization;
• has programming skills in for example, Matlab, R, and/or Python;
• likes to engage in interdisciplinary research, collaborating with scientists across disciplines and with societal actors;
• is able to perform tasks independently and in teams, has good organization and writing skills, and is fluent in English.

For this position your command of the English language is expected to be at C1 level. Sometimes it is necessary to submit an internationally recognised Certificate of Proficiency in the English Language. More information can be found here.

Contactinformation

For more information about this position, please contact Dr. Sol Maria Halleck Vega, solmaria.halleckvega@wur.nl and Dr. Xiaodong Cheng, xiaodong.cheng@wur.nl.

For more information about the procedure, please contact Noorien Abbas, corporate recruiter, recruitment.ssg@wur.nl