Cluster Design Toolbox. Cluster Design Workshop, 15/04/2016

Transcription

1 Cluster Design Toolbox Cluster Design Workshop, 15/04/2016

2 Layout 1 Idea and Concept Integrated approach 2 3 Architecture Toolbox compartments Architecture of the toolbox Interaction with computation models External communication Main compartments Available modules 4 Test cases Test cases implemented in the toolbox for Demo 5 DEMO of the toolbox User input Running and following-up of simulations Exemplar results

3 Idea & Concept Integrated approach Developing a toolbox of models that follows an integrated approach for wind farm cluster design Wind flow modelling Wind turbine power output and mechanical loading Grid interconnection and operational cluster control strategies Micrositing of the wind turbines, load assessment and the corresponding electrical design should be considered as a whole

4 Idea & Concept Interpolation algorithm by Senvion The interpolation tool is a post-processing tool integrated in the Cluster Design Toolbox. The main purpose of the tool is to use the results of the wind flow models and the load and power calculations in combination. For a specific global wind condition, meaning for a certain air density, mean wind speed and direction, turbulence intensity and vertical shear as given by the WASA or measurement data, the local wind conditions, loads and power for each wind turbine within the wind farm cluster are calculated. Wind farm database and load database are coupled through the interpolation algorithm

5 Idea & Concept Wind and stability atlas by Forwind WRF Simulations based on CFSR data Period: Atlas covers the German bight and the southern north sea x- and y- direction: about 240 x 111 grid points Grid point every 2 km 10 height levels between 60m and 150m Wind and stability atlas computed by Forwind will be at the disposal of the user as wind resource input for the specified region

6 Idea & Concept Active Wake Control Concept Developed by ECN (previously known as Heat & Flux It is a wind farm cluster operating strategy which aims at improving overall wind farm cluster performance at below rated wind conditions in terms of power production and loads. It includes assigning different power and thrust curves to individual wind turbines within the cluster depending on the wind direction User can also opt for the Active Wake Control option and see if the concept is suitable for the proposed layout

7 Idea & Concept Electrical design tool (Delecto) by Imperial College Electrical design simulations are carried out by the DELectO tool of Imperial College. A cost-benefit analysis (CBA) of alternative network configurations approach is used to determine the optimal capacity and designs of Wind farm collection system, Cluster network Offshore transmission system. ensuring grid compliance and investigating the virtual power plant capabilities of wind farm cluster A range of configurations including different topologies, number of circuits, different capacities, transformer configurations (quantity and capacity of transformers), reactive compensators, etc. can be analysed and compared to determine the cost optimal solution

8 Architecture Architecture of the Cluster Design Toolbox 1. Workflow engine 2. Computation Models 3. Data store 4. Metadata store 5. Web interface

9 Architecture Interaction with the computation models Internal computation External computation

10 Toolbox compartments Main compartments 1. User input 2. Wind cluster control strategy 3. 3 Wind flow models (wake and energy production modelling) 4. 4 Load simulations 5. 5 Electrical design simulations 6. 6 Toolbox outputs

11 Toolbox compartments Available modules Wind flow modelling o FLaP (ForWind) o FarmFlow (ECN) Load database o For the Senvion 6M turbine type Electrical design o Delecto (Imperial College) Cluster control design o Active wake control (ECN) Wind resource input o Wind and stability atlas (ForWind) o Time series from the user The toolbox allows the inclusion of additional models for each step

12 Test cases Test cases For energy production and loads: NSO alone NSO with Kaskasi II NSO with a hypothetical layout For electrical design: Cluster design of NSO + Meerwind Ost/Sud (hypothetical layout) Wind resource input: wind and stability atlas data computed by Forwind

13 DEMO

14 THANK YOU FOR YOUR ATTENTION! ANY QUESTIONS?

15 Web user interface User input The user makes a selection of the computations and the corresponding models first and uploads the park/cluster configuration

16 Web user interface User input The user is then asked to upload the turbine power and thrust curves and to define the range and resolution of calculation parameters

17 Web user interface Running simulations The user can follow the progress of each of his simulations using the simulation ID assigned to each of them.

18 Results Energy production -1 Raw data (Wind Farm Database - WFDB) Wind energy production results Wind climate At the end of each simulation the user will be provided with standard outputs giving an overview of the results. User defined analysis can be done by extracting raw data and examining in Matlab/Python/Ferret... or other preferred software

19 Results Energy production -2 The user will be able to call different simulations and compare their results

20 Results Loads Raw data (Loads and Power Database - LPDB) Wind turbine comparison between different simulations Interpolated LPDB Statistical comparison Compared to configuration 1,in configuration 2, X turbines have reduced DEL s, with an average reduction of Y%. The maximum reduction is observed on turbine Z with K% reduction. At the end of each simulation the user will be provided with standard outputs giving an overview of the results as well as more flexible means to make comparisons with other simulations.

21 Results Online interpolation tool Using the online interpolation tool, the user can plot the results in a very flexible way for each of the parameters.

22 Cost ( m) Results Electrical design Collection system transformers 3 transformers 2 transformers 3 transformers 2 transformers 3 transformers Radial Double sided ring Shared reserve cable Collection network topology; No transformers; Transformer capacity (MVA) Cable Platform Transformers Losses EEC Repair Maintenance Based on a cost-benefit analysis (CBA) approach, the optimum collection system is selected. Each one of these configurations can include different combinations of nominal voltages, quantities and capacities of transformers, and selection and allocation of compensators

23 Cost ( m) Results Electrical design Cluster System D ND D ND D ND D ND D ND Single cable Two cables Two cables Two cables and reserve cable to offshore transmission Cluster network topology, Voltage (kv), Wind profile type Two cables and reserve cable between wind farms Cable Losses EEC Repair CBA approach is used for the analysis of the cluster electrical system comparing different designs

24 Cost ( m) Results Electrical design Offshore transmission system Amrumbank West, 288MW Kaskasi II, 170 MW Kaskasi, 250 MW? Nordsee Ost, MW Meerwind Ost/Sud, 288 MW Offshore converter stations HelWin Beta, 690 MW V1 V2 HelWin Alpha, 576 MW 85 km 45 km C1 C2 HVDC 320 kv, 2x800/1100 mm 2 HVDC 250 kv, 2x875/1200 mm 2 C3 C4 S h o r e l i n e B ü s u m Büttel converter station V3 V D ND D ND D ND D ND D ND D ND D ND D ND D ND D ND D ND D ND D ND D ND D ND D ND D ND D ND D ND D ND D ND From bottom to top: Voltage, No offshore converters, Offshore converter rating (MW), No onshore converters, Onshore converter rating (MW), No cables, Cables csa, Cable rating (MW), Profile type Platform & plant Onshore substation Cables EEC Losses Repair Alternative configurations of offshore transmission system are compared based on a CBA approach