Abhinav Anand is a Research Engineer and a PhD Candidate at the Technical University of Munich (TUM). His educational background includes a Masters in Power Engineering from Germany and a Bachelors in Electronics & Electrical Engineering from India. He is doing his PhD at the Wind Energy Institute of TUM under supervision of Prof. Dr. Carlo L. Bottasso, and his research is about economic value driven control of wind and hybrid energy generation systems.
Role at TUM
As a Research Engineer at the TUM, he carries out research and development tasks for various European and German projects. This includes contributing to the technical development of the project, collaboration with project partners and stakeholders, and leading/coordinating the communication and collaboration within the tasks. Some of the projects that he is/has been involved in are: TWAIN, SUDOCO, FarmConners, and eTWINS. Additionally, he also supervises and leads several research activities internal to TUM.
Role in TWAIN
Within TWAIN, Abhinav oversees TUM’s contribution to the overall project, and is the coordinator of WP2: Integrating wind farm control processes. Additionally, he is the lead for Task 2.1: Wind farm response and an active contributor to Task 2.3: Grid compliance and services, where he is closely involved in the methodology/model development, verification, and integration processes.
Some of his recent research work in TWAIN involved developing three novel formulations:
- A lifetime-aware wind farm control formulation for economic operation of wind farms. This uses wind farm response models (WP2), economic value formulations (WP3), and provides a relevance to the TWAIN case study on lifetime extension. The pre-print is published in WES Discussions and is currently under review.
- Estimation of maximum feasible inertia provision capabilities of wind farms for grid compliance and support. This is one of the fundamental blocks that is required in Task 2.3 on grid services. The work was presented at NAWEA 2024 conference and the extended abstract is published at TWAIN Zenodo. A pre-print showing a more detailed version is published in WES Discussions and is currently under review.
- Forecasting, dispatch, and operation of a wind based hybrid power plant for optimal market participation and grid integration. This includes developing several formulations such as Forecasting, Power Tracking that are required within Task 2.3 on grid compliance and wind farm response models from Task 2.1, and maximizing the economic profit through participation in different energy market stages. The work was presented at NAWEA 2024 conference and the extended abstract is published at TWAIN Zenodo.
