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Scenario-based multi-zone approach of wind power for steady-state network studies
KTH, School of Electrical Engineering (EES), Electric Power Systems.
2015 (English)Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

The installed wind power capacity has increased rapidly over the last decades

and wind power now has a strong impact on the European electric system. The

development of wind power is expected to continue in the coming decades and

it is therefore crucial to correctly take it into account in network simulations of

the future system.

Metrix is a model used at EDF R&D for technical and economical simulations

of the European electric system. It uses a multi-scenario approach that

aims at calculating different possible states of the network for a chosen moment

in the future. Until this master thesis, the generation of the wind farms was

the same in all the scenarios. This does not reflect the high variability of wind

power generation and does not allow to correctly simulate the effects of wind

power on the system.

The goal of the project presented in this report is to integrate a multiscenario

approach of wind power with spatial variations in Metrix in order to

represent a range of wind power situations that is representative of what might

happen at a simulated moment in the future. The chosen method consists of

using wind scenarios from the past, applying them to the future wind park and

integrating them in the scenarios used in the simulations. The database of wind

situations used in this project allows to have 13 wind zones over Europe.

An analysis of the seasonal and diurnal cycles of wind power generation is

performed for the abovementioned purpose. The methodology is applied to the

study of the winter peak and leads to the choice of up to 1092 suitable wind

power scenarios. Then, statistical methods are used to estimate the number

of scenarios that is necessary to reach the desired accuracy in the simulation

results. Finally, the benefits of the proposed approach of wind power are demonstrated

by showing how it allows to analyse the impact of wind power generation

on different system quantities and components.

Place, publisher, year, edition, pages
2015. , 105 p.
EES Examensarbete / Master Thesis, XR-EE-EPS 2015:003
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
URN: urn:nbn:se:kth:diva-168390OAI: diva2:816288
Educational program
Master of Science in Engineering - Vehicle Engineering
Available from: 2015-06-03 Created: 2015-06-02 Last updated: 2015-06-03Bibliographically approved

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