(Status: ongoing, people involved: S. Keshav, C. Rosenberg, R. Kalaimani, A. Rosmanis, F. Kazhamiaka, C. Carquex)
DC plug and play microgrids are small-scale local DC power systems, designed with the goal of eliminating the need of expert knowledge to install and run the microgrid. Incorporating distributed generation and storage, the microgrids are thought to be interconnectable, thus allowing power sharing between users.
The use of DC power makes exchanges easy, while most appliances today can intrinsically operate on DC power (computers, LED lighting, brushless motors, etc…).
In this plug and play model, data and power are bundled and flow together, resulting in a smart and easy to use solution. Our work focuses on defining the best ways to incorporate data and power.
Distribution State Estimation
(Status: ongoing, people involved: C. Carquex, C. Rosenberg)
With the increasing penetration of distributed generation and storage, the way utilities manage distribution power systems is changing. Historically designed to meet the peak load, with power flowing unidirectionally, distribution systems are now less predictable because of the stochastic nature of solar and wind generation.
Distribution State Estimations is an active topic of research, with the goal to provide a set of tools for utilities to efficiently monitor the state of their distribution system. These techniques rely on a set of real time sensors, providing useful measures of feeders’ parameters.
While power system state estimation is well understood, it still needs further improvements for distribution systems; new approaches and algorithms are developed to tackle this challenge. We take advantage of the recent development in sensor hardware, micro-synchrophasors for distribution systems, that provide real-time high-quality measurement data.
Distribution State Estimation is a key technique, that enables many smart grid applications relying on the knowledge of the state of the power system to operate.