Abstract
There are already several power systems coping with large amounts of
wind power. High penetration of wind power has impacts that have to be managed
through proper plant interconnection, integration, transmission planning, and
system and market operations. This report is a summary of case studies
addressing concerns about the impact of wind power's variability and
uncertainty on power system reliability and costs. The case studies summarized
in this report are not easy to compare due to different methodology and data
used, as well as different assumptions on the interconnection capacity
available. Integration costs of wind power need to be compared to something,
like the production costs or market value of wind power, or integration cost
of other production forms. There is also benefit when adding wind power to
power systems: it reduces the total operating costs and emissions as wind
replaces fossil fuels. Several issues that impact on the amount of wind power
that can be integrated have been identified. Large balancing areas and
aggregation benefits of large areas help in reducing the variability and
forecast errors of wind power as well as help in pooling more cost effective
balancing resources. System operation and working electricity markets at less
than day-ahead time scales help reduce forecast errors of wind power.
Transmission is the key to aggregation benefits, electricity markets and
larger balancing areas. From the investigated studies it follows that at wind
penetrations of up to 20 % of gross demand (energy), system operating cost
increases arising from wind variability and uncertainty amounted to about 1-4
Euro/MWh. This is 10 % or less of the wholesale value of the wind energy.
With current technology, wind power plants can be designed to meet industry
expectations such as riding through voltage dips, supplying reactive power to
the system, controlling terminal voltage, and participating in system
operation with output and ramp rate control. The cost of grid reinforcements
due to wind power is very dependent on where the wind power plants are located
relative to load and grid infrastructure. The grid reinforcement costs from
studies in this report vary from 0 Euro/kW to 270 Euro/kW. The costs are not
continuous; there can be single very high cost reinforcements. There can also
be differences in how the costs are allocated to wind power. Wind generation
will also provide some additional load carrying capability to meet forecasted
increases in system demand. This contribution can be up to 40 % of installed
capacity if wind power production at times of high load is high, and down to 5
% in higher penetrations and if local wind characteristics correlate
negatively with the system load profile. Aggregating larger areas benefits the
capacity credit of wind power. State-of-the-art best practices in wind
integration studies include (i) capturing the smoothed out variability of wind
power production time series for the geographic diversity assumed and
utilising wind forecasting best practice for the uncertainty of wind power
production (ii) examining wind variation in combination with load variations,
coupled with actual historic utility load and load forecasts (iii) capturing
system characteristics and response through operational simulations and
modelling (iv) examining actual costs independent of tariff design structure
and (v) comparing the costs and benefits of wind power.
| Original language | English |
|---|---|
| Place of Publication | Espoo |
| Publisher | VTT Technical Research Centre of Finland |
| Number of pages | 239 |
| ISBN (Electronic) | 978-951-38-7309-7 |
| ISBN (Print) | 978-951-38-7308-0 |
| Publication status | Published - 2009 |
| MoE publication type | Not Eligible |
Publication series
| Series | VTT Tiedotteita - Research Notes |
|---|---|
| Number | 2493 |
| ISSN | 1235-0605 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 7 Affordable and Clean Energy
-
SDG 13 Climate Action
Keywords
- wind energy
- grid integration
- wind power
- balancing
- capacity credit
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