INNOVATIVE AUTOMATION OF ELECTRICAL DESIGN OF OFF-SHORE WINDFARMS TO FIND THE LEAST COST OPTION

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INNOVATIVE AUTOMATION OF ELECTRICAL DESIGN OF OFF-SHORE WINDFARMS TO FIND THE

LEAST COST OPTION

Infrastructure & Cities Sector, Smart Grid DivisionInfrastructure & Cities Sector, Smart Grid Division Siemens Power Technologies International (PTI)Siemens Power Technologies International (PTI)Presenter:Victor SellwoodPresenter:Victor Sellwood

Dr. Dusko P. Nedic ([email protected])Dr. Dusko P. Nedic ([email protected])Victor Sellwood([email protected])Victor Sellwood([email protected])

© 2013 Siemens I@C, Inc. All rights reserved

Siemens Power Technologies International

Presentation Overview

Introduction - why Optimise construction and operation costs?

Development and Experiences / Validation of a software tool for automating the electrical design of large off-shore wind farms.

Case Study 1 - Edge-located collector platforms vs Central-located

Case Study 2 - Comparison of CAPEX / OPEX for offshore windfarms based on publicly-available data

Conclusions



Why Optimise Construction / Operation Costs ?



Why Optimise Construction / Operation Costs ?

UK's Round 3 program will offer 32.2GW / 36GW and there is up-to 80GW offshore in the North Sea

2010: National Grid announced that a radial offshore transmission network is not acceptable

2011: Ofgem report shows that moving from an Independent (radial) to Integrated (mesh) transmission system could reduce Capex from £18B to £15.4B (-16%)

A study showed that for only 2 wind farms in the North Sea considering only voltage as a choice, design options would exceed 7,000

Image from “Eirgrid_Offshore_Grid_Study_FA Nov2011.pdf”



Software Tool for automated design

Tool Features: Three analysis sub-systems

Inter-array cable system Off-shore platforms Off-shore transmission

Automated design of inter-array cable system and VUI for correcting such designs.

Catalogue of components. Creating of network models and

possibility of merging them. Cable sizing. Voltage/reactive power control. Electrical losses. Reliability. CAPEX and OPEX evaluation.



Visualisation User Interface (for modifications of inter-array cable design)

Interactive tool for creating/editing inter-array cable system.Multiple projects.

Information on the selected project

Restructure string,change string origin, shift platform, swap strings between platforms

Find and correct cablecrossovers

Adding/editing cable knee points



Proving the Software Tool by Practical Application

Driven by projects / clients and cooperation with the UK Universities

HornSea (over 10 different transmission options with sensitivity analyses)

Seagreen (4 different transmission options and a number of sensitivity analyses)

UoM Electrical Engineering – research project and a PhD to assess thousands of electrical designs for different offshore wind farm sizes

University of Strathclyde – Industry supervision of a 4 year PhD on transmission options in North-Sea. The research will be conducted using the tool.

Dogger Bank - Inter array cable design (over 80 layouts – capacity ranging from 7GW to 20 GW)

Availability calculations:

London Array

Greater Gabbard



Case Study 1: Comparison of Edge- vs Central- location

Each platform 600 MW, 18 strings per platform (14 of 5WTGs strings and 4 of 4WTG strings).

Centrally Located option (CLo) Edge Mounted option (EMo)



Case Study 1: Comparison of Edge- vs Central- location

0.0

3.0

6.0

9.0

12.0

15.0

18.0

Cab

le lo

sses

MW

1 7 22 49 82 100

Turbine MW Output as % of installed MW capacity

CLoEMo



Case Study 2: Illustrative Comparison of Design Options Based on Publicly-Available Data

Investment Cost in £ (Millions)

Cost figures for illustrative purposes only!



Case Study 2: Illustrative Comparison of Design Options Based on Publicly Available Data

Case 1 and Case 3 use the same electrical components -> losses are same

Case 2 has least electrical losses as no HVDC conversion equipment and good reliability because of the 3 x HVAC shore connections

Case 3 has least reliability losses due to redundant string connections

Case 4 has most electrical losses as longest string cables, but the least Investment Cost as the quantity of higher gauge cables is less

This demonstrates that the differences in Investment are swamped by the differences in Costs of Losses during operation



Conclusions

This automated approach significantly reduces the time for manual and visual inspection / verification of the proposed cabling system for the layouts

Risk of human errors is significantly reduced and re-verifications / inspections can be quick and efficient

Effortlessly and quickly design and undertake cost benefit analyses of preferred options.

Possibility to merge network models for cost benefit analyses of the off-shore grid.

Complex design solutions can easily be compared (both construction and operation) using the most significant comparator: cost

INNOVATIVE AUTOMATION OF ELECTRICAL DESIGN OF OFF-SHORE WINDFARMS TO FIND THE LEAST COST OPTION

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