IRP42: Fault detection and isolation for renewable sources

The project aims to propose fault detection and isolation methods for RES (mostly wind plants and solar plants) connected to grids (through AC or DC links). As these sources will be more and more involved in the grid power balance, it will be mandatory to detect as soon as possible any fault that could occur inside these plants.

Dedicated methods (or fault detection and isolation) will be developed and tested in order to ensure the minimal loss of power in case of a fault and also to maintain a given level of ancillary services. Grid stability concerns will also be investigated during this work in order to size of the zone to isolate, to locate the sensors and also to study the impact of fault detection and isolation process duration on the grid stability.

Fault detection and isolation methods could be based on model approach and/or signal approach. The recourse to various methods will be linked to the types and locations of sensors inside the power plant and the grid and also the criticality of the zone under fault. One other concern will be the type of link (AC or DC) which could damp some signature related to a given fault.

Tasks
  • Literature review on fault detection and isolation in power systems.
  • Proposing an extended modelling approach for RES dedicated to fault detection and isolation.
  • Developing fault detection and fault isolation methods.
  • Testing these methods through simulations (off-line and on-line).
Expected Results
  • To elaborate fault detection and isolation algorithms for the various modes of connection of power plants.
  • To ensure high level of availability of renewable power plants, to reduce the impact of the outages.
Early Stage Researcher:

Nikolaos Sapountzoglou

Nikolaos.Sapountzoglou@ g2elab.grenoble-inp.fr - -

Supervisor:

Bertrand Raison

Host institution:

UGA