Microgrid Laboratory

The laboratory is a part of Real-time Power and Control System (RPCS) laboratory which setup d-SPACE workstations for studying multiple configurations of DC MG and hybrid AC/DC MG in grid-connected and islanded modes of operation. The workstations facilitates real-time control, operation, and optimal energy management of renewable energy integration together with energy storage systems and consumption. We seek experimental-research-oriented environment to test, develop and investigate fail-safe MGs operating autonomously specially in islanded mode. We investigate the best solution for grid-connected AC MGs in scenarios such increasing DGs and mass adoption of EVs. The core research of the lab includes:

microgrid02 Modelling: We build inclusive models for all microgrid elements such as generators, energy storage systems, loads, power electronics converters, and electrical distribution networks. The models must describe the microgrid in local control levels such as power converter, connection level such as wireless sensor network (WSN), and global control level such as microgrid controller. We also implements different communication models, e.g. Publish/Subscribe, so that it can be integrated into a MG control system.
 microgrid08 Control and Operation: Local, distributed, and hierarchical controllers are needed to provide best power quality and fast communication and handle the micro-grid elements with different frequency ranges, and time scales. Our focus is the integration of event-triggered models with distributed control strategies, which is a powerful tool for a MG with no single point of failure and a balanced energy level between energy storage and generation.
 microgrid01 Networked control systems: To achieve the network stability and effectively manage the locally-installed distributed controllers in complex scenarios, networked control is needed with new mathematical tools for controllability and observability. We investigates scenarios where a MG supports the plug-and-play addition and removal of DGs, and tolerates the communication topology change.
 microgrid03 Wireless sensor networks: We use WSNs as a suitable platform for networked control systems applied to the modern MGs. Sensor networks are a special case of networked control systems in which the energy consumption plays a crucial role. We seek suitable communication models for WSN-based MG , e.g. event-triggered models, to reduce network traffic, and increase the sensor battery life-time. Such a multi-purpose shared network to connect decentralised control elements will provide flexible architectures, reduced installation and low maintenance costs along with higher reliability than traditional bus-based communication technologies.
 untitled Power quality: To provide the best power quality, voltage and current harmonics and unbalances have to be suppressed. At the same time, the increasing use of DGs and EVs will result in over- and under- voltage problems. We are currently working on the use of distributed power electronic compensators for voltage control and demand response in smart grids with high penetration of RES.  To control MGs with high RES integration along with energy storage devices and power electronic converters, we investigate optimal battery ratting and power converters capacity as well as the optimal location of these devices.