Master Thesis on Adaptive Distributed Control of Grid-Forming BESS
Volvo Business Services Aktiebolag
Göteborg
Yrken med teknisk inriktning
Publié le 5 novembre 2026
Description du poste
Company description:
"Founded in 1927, the Volvo Group is committed to driving prosperity and shaping the future landscape through sustainable transport, mobility, and infrastructure solutions. By offering trucks, buses, construction equipment, power solutions for marine and industrial applications, financing and services that increase our customers’ uptime and productivity. Our headquarters are in Gothenburg, Sweden. Volvo Group shares are listed on Nasdaq Stockholm."
Job description:Background
The increasing penetration of Battery Energy Storage Systems (BESS) has accelerated the transition toward sustainable transportation and resilient electrical grids. Modern BESS installations are evolving into modular systems composed of multiple battery systems and multiple parallel Power Conversion Systems (PCSs). Current hierarchical control architectures enable coordinated operation, it also introduces communication dependency, latency and scalability challenges. This type of architecture relies on hierarchical communication between the Energy Management System (EMS), local BESS controllers and individual PCS controllers. Multiple communication layers may introduce delays, synchronization errors and reduced dynamic performance in the grid-forming operation. Communication failures or packet loss can degrade power sharing, frequency regulation and transient stability.
Research Question
The objective of this master thesis is to develop and validate an adaptive distributed control strategy for modular grid-forming Battery Energy Storage Systems comprising multiple parallel Power Conversion Systems (PCSs) and multiple Battery Energy Storage Systems (BESSs). The proposed solution should reduce communication dependency, improve dynamic performance during power dispatch, enhance robustness against communication failures and delays, and provide a scalable control architecture suitable for future large-scale energy storage systems.
Objectives
Reduce dependency on hierar