UKERC EDC: ETI

Citation	Pillai, A.C., Chick, J., Johanning, L., Khorasanchi, M. and Barbouchi, S. Comparison of Offshore Wind Farm Layout Optimization Using a Genetic Algorithm and a Particle Swarm Optimizer, ASME 2016 35th International Conference on Ocean, Offshore and Arctic Engineering Volume 6: Ocean Space Utilization; Ocean Renewable Energy Busan, South Korea, June 19?24, 2016, 2016. https://dx.doi.org/10.1115/OMAE2016-54145. Cite this using DataCite
Author(s)	Pillai, A.C., Chick, J., Johanning, L., Khorasanchi, M. and Barbouchi, S.
Project partner(s)	University of Edinburgh, University of Exeter, University of Strathclyde, Electricité de France
Publisher	ASME 2016 35th International Conference on Ocean, Offshore and Arctic Engineering Volume 6: Ocean Space Utilization; Ocean Renewable Energy Busan, South Korea, June 19?24, 2016
DOI	https://dx.doi.org/10.1115/OMAE2016-54145
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Abstract	This article explores the application of a binary genetic algorithm and a binary particle swarm optimizer to the optimization of an offshore wind farm layout. The framework developed as part of this work makes use of a modular design to include a detailed assessment of a wind farm’s layout including validated analytic wake modelling, cost assessment, and the design of the necessary electrical infrastructure considering constraints. This study has found that both algorithms are capable of optimizing wind farm layouts with respect to levelised cost of energy when using a detailed, complex evaluation function. Both are also capable of identifying layouts with lower levelised costs of energy than similar studies that have been published in the past and are therefore both applicable to this problem. The performance of both algorithms has highlighted that both should be further tuned and benchmarked in order to better characterize their performance.
Associated Project(s)	ETI-MA2003: Industrial Doctorate Centre for Offshore Renewable Energy (IDCORE)
Associated Dataset(s)	No associated datasets
Associated Publication(s)	A model to map levelised cost of energy for wave energy projects An Integrated Data Management Approach for Offshore Wind Turbine Failure Root Cause Analysis An investigation of the effects of wind-induced inclination on floating wind turbine dynamics: heave plate excursion Application of an offshore wind farm layout optimization methodology at Middelgrunden wind farm Characterisation of current and turbulence in the FloWave Ocean Energy Research Facility Characterization of the tidal resource in Rathlin Sound Component reliability test approaches for marine renewable energy Constraints Implementation in the Application of Reinforcement Learning to the Reactive Control of a Point Absorber Control of a Realistic Wave Energy Converter Model Using Least-Squares Policy Iteration Cost Reduction to Encourage Commercialisation of Marine in the UK Cumulative impact assessment of tidal stream energy extraction in the Irish Sea Design diagrams for wavelength discrepancy in tank testing with inconsistently scaled intermediate water depth Development of a Condition Monitoring System for an Articulated Wave Energy Converter Dynamic mooring simulation with Code(-)Aster with application to a floating wind turbine Environmental interactions of tidal lagoons: A comparison of industry perspectives ETI Insights Report - Wave Energy Exploring Marine Energy Potential in the UK Using a Whole Systems Modelling Approach Hybrid, Multi-Megawatt HVDC Transformer Topology Comparison for Future Offshore Wind Farms Hydrodynamic analysis of a ducted, open centre tidal stream turbine using blade element momentum theory Offshore wind farm electrical cable layout optimization Offshore wind installation vessels - A comparative assessment for UK offshore rounds 1 and 2 Optimisation of Offshore Wind Farms Using a Genetic Algorithm Quantifying uncertainty in acoustic measurements of tidal flows using a “Virtual” Doppler Current Profiler Reactive control of a two-body point absorber using reinforcement learning Reactive control of a wave energy converter using artificial neural networks Re-creation of site-specific multi-directional waves with non-collinear current Reliability and O & M sensitivity analysis as a consequence of site specific characteristics for wave energy converters Reliability prediction for offshore renewable energy: Data driven insights Resource characterization of sites in the vicinity of an island near a landmass Review and application of Rainflow residue processing techniques for accurate fatigue damage estimation Sensitivity analysis of offshore wind farm operation and maintenance cost and availability Simulating Extreme Directional Wave Conditions Testing Marine Renewable Energy Devices in an Advanced Multi-Directional Combined Wave-Current Environment Testing the robustness of optimal access vessel fleet selection for operation and maintenance of offshore wind farms The effects of wind-induced inclination on the dynamics ofsemi-submersible floating wind turbines in the time domain The Industrial Doctorate Centre for Offshore Renewable Energy(IDCORE) - Case Studies The power-capture of a nearshore, modular, flap-type wave energy converter in regular waves The SPAIR method: Isolating incident and reflected directional wave spectra in multidirectional wave basins UK offshore wind cost optimisation: top head mass (Presentation to All Energy, 10th May 2017)

Comparison of Offshore Wind Farm Layout Optimization Using a Genetic Algorithm and a Particle Swarm Optimizer