Adaptive power management strategies for arrays of oscillating water column wave energy converters

Location: University of Exeter Penryn Campus, Penryn, Cornwall, TR10 9FE, UK

Project Description:
The aim of this project is to develop a novel framework of optimal and adaptive control strategies for large arrays of oscillating water columns (OWC) that can guarantee maximum power on the one hand, and minimum power oscillation on the other. The framework will combine multi-objective optimisation with adaptive learning algorithms. First, we will analyse the response of OWC networks to different sea states and wave conditions. Second, we will build a combined individual (distributed) and central (supervisory) control architecture. Distributed optimal control strategies for the turbine and generator configurations will be integrated into a supervisory adaptive control network to address the two control objectives: (a) optimising power generation of individual OWCs while adaptively establishing a power phase shift regime for the OWC array to reduce overall power oscillation; (b) robust operation via adaptive learning algorithms to track modelling uncertainties and disturbances.

For more information about the project and informal enquiries, please contact the primary supervisor: Dr Mohammad Abusara http://emps.exeter.ac.uk/renewable-energy/staff/ma389


Entry requirements:
Applicants for this research project must have obtained a First or Upper Second Class UK Honours degree, or the equivalent qualifications gained outside the UK, in an appropriate area of science or technology. Experience in Renewable Engery is desirable.

If English is not your first language you will need to meet the English language requirements and provide proof of proficiency.