Decentralized Adaptive MBC & Distrtibution Network
- Thursday, May 10, 2018 from 11:00am to 11:50am
- Cobleigh Hall, Room 608 - view map
Abstract - In the last decades, the massive connection of Distributed Generations (DGs) triggers different operation challenges in Active Distribution Networks (ADNs). Thus, the issue of real-time control of ADNs became more challenging caused by the lack of direct control over stochastic and non-stochastic DGs. In this talk, a real-time decentralized control algorithm in multi-area ADNs relying only on dispersed Battery Energy Storage Systems (BESSs) will be addressed.
Firstly, a detailed dynamic model for BESSs accounting for charge redistribution effects will be presented. Then, a zonal control strategy targeting voltage support and line congestion management will be addressed. The presented zonal control relies on the accurate dynamic model of BESSs and it is capable to account for their DC active power limits. The communication among different areas is defined using the concept of multi-agents. The goal is to show that in order to have a feasible voltage and current profile for battery devices, the control algorithm needs to include their detailed dynamic model.
Bio- Maryam Bahramipanah received her M.Sc. degree in electrical engineering from the University of Tehran, Tehran, Iran, in 2011. She joined Distributed Electrical System Laboratory at École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland in 2012 and received her Ph.D. degree in Power System Engineering in 2016.
She has authored or co-authored over 17 scientific papers in peer reviewed journals and presented at international conferences. Her research interests include distributed generation and renewable energy systems, energy storage systems, smart grid and active distribution network operation and control.