Master Thesis - Integration of District Grid Constraints into a Multi-Agent-Based Local Energy [...]

At the Institute of Climate and Energy Systems, Energy Systems Engineering (ICE-1) we focus on the optimal design and operation of integrated, decentralized energy systems with a high share of renewable energy. Computer simulation and numerical optimization are our essential tools to arrive at efficient, reliable, and cost-effective solutions. We contribute both to the development of mathematical models and to the development of improved simulation methods and optimization algorithms. Our methods and software‑tools are validated against operating data of real systems. Furthermore, we conduct comprehensive case studies to test and further improve the scalability and performance of our models and algorithms. Specially adapted methods and codes enable us to exploit the potential of high‑performance computing with the aim of solving particularly large and complex problems.

Your Job:

In this master thesis, a multi‑agent‑based local energy market simulation ASSUME shall be extended to account for district grid constraints. The objective is to investigate how local grid restrictions can be represented within an agent‑based simulation environment and how their consideration affects market processes, pricing approaches, and decentralized energy systems.

A particular focus of the thesis lies in linking the market perspective with the grid perspective. Based on this, suitable modelling and integration approaches shall be explored in order to analyze different ways of considering grid constraints in local energy market simulations. The developed methods shall then be evaluated in suitable scenarios with respect to selected technical, economic, and system‑related indicators.

Work Packages:

• Familiarisation with the simulation framework ASSUME and the underlying research problem
• Literature review on district‑level grid constraints, local energy markets, retail pricing, and multi‑agent systems
• Analysis of the requirements for representing grid‑related restrictions in a local energy market simulation
• Conceptual design of suitable approaches for integrating grid constraints into the existing simulation environment
• Development and integration of new functionalities for the consideration of district grid constraints
• Development and parameterisation of suitable study and simulation scenarios
• Execution and evaluation of analyses on different approaches for handling grid constraints
• Assessment of the effects on selected technical, economic, and system‑related indicators
• Documentation, interpretation, and scientific discussion of the results
• Development and integration of new functionalities into the existing simulation environment
• Development and parameterisation of suitable investigation and simulation scenarios
• Conducting and evaluating analyses of different tariff and bidding approaches
• Evaluation of the results using suitable parameters
• Documentation, interpretation, and scientific classification of the results

Your Profile:

• Currently pursuing a degree in a relevant field such as energy engineering, mechanical engineering, computer science, industrial engineering, or a comparable field (Master’s degree)
• Knowledge of modelling, optimisation, and data analysis of energy systems
• Interest in electricity markets, energy system analysis, and model‑based studies
• Proficiency in one or more programming languages (preferably Python)
• Analytical, structured, and independent work style
• Strong written and spoken English skills

Our Offer:

• SCIENTIFIC ENVIRONMENT: You can expect excellent academic facilities, modern technologies and expert guidance from experienced colleagues
• PRACTICAL RELEVANCE: With us, you will gain valuable practical experience alongside your studies, actively participate in interdisciplinary projects and have access to state‑of‑the‑art simulation and analysis tools
• PERSONAL RESPONSIBILITY: The opportunity to develop your own expertise in forward‑looking fields such as energy market mechanisms, optimisation algorithms and renewable energy systems
• WORK‑LIFE BALANCE: Optimal conditions for balancing work and private life, as well as a family‑friendly company policy. The option for flexible working (regarding location) is generally available by arrangement and in line with upcoming tasks and on‑site appointments
• FIXED‑TERM CONTRACT: The position is for a fixed term of 6 months
• FAIR REMUNERATION: Your thesis will be appropriately remunerated by us

In addition to exciting tasks and a collegial working environment, we offer you much more:

We welcome applications from people with diverse backgrounds, e.g. in terms of age, gender, disability, sexual orientation/identity, and social, ethnic and religious origin. A diverse and inclusive working environment with equal opportunities in which everyone can realise their potential is important to us.

The following links provide further information on diversity and equal opportunities: and on specific support options:

We look forward to receiving your application. The job will be advertised until the position has been successfully filled. You should therefore submit your application as soon as possible.