PROJECT TITLE: 3D Assisted Wind Turbine Power Converter Topology Design and Validation
PhD period: 2017.10.01 – 2020.09.30.
Section: Power Electronic Systems
Research Programme: Efficient and Reliable Power Electronics
Supervisor: Stig Munk-Nielsen
Co-Supervisors : Michael Møller Bech & Christian Uhrenfeldt
Collaborators: KK Wind Solutions, PowerCon, & Vestas.
Funding: MultiCon, Innovation Fund Denmark.
The MultiCon project aims to foster a paradigm shift in wind energy by developing disruptive storage solutions based on a novel Software-Defined Power Management System – the MultiCon technology – which allows monitoring and control of batteries at single cell level, generating significant advantages for functionality, stability, reliability and durability, as well as lower OPEX and CAPEX for end-users. MultiCon was designed to meet the societal need for improved storage solutions to enable the achievement of imminent political targets set in the renewables context. The project will also enable the consortium vision of a Wind Turbine Integrated ESS, using a Multi Storage Converter. MultiCon will contribute to increase the self-supply ability and avoid the need for energy imports.
Figure 1 - Conventional central energy storage, and integrated battery solution.
The novelty of the project is illustrated in Figure 1, where the aim is to integrate storage on power converter level, instead of a centralized solution. The aim of this project is to develop modular battery packages, making the solution scalable and easy to maintain. With full integration of the battery storage in the wind turbine, it will be possible to reduce cost and increase reliability.
The scope of this PhD project is to develop and analyze a converter topology, which will realize the above-mentioned ambition. Advanced model analysis together with state-of-the-art simulation and optimization, followed by experimental verification, are the key methods to insure a viable solution.
The expected outcomes of this project is a modular converter topology, that will help advance next-generation energy storage in wind turbine applications, with benefits in scalability, reliability, cost, as well as improvement in predictive maintenance.
Publications in journals and conference papers may be found at VBN.