European regulating power market operation: Reserve requirement levels for wind power production

2012 ◽  
Author(s):  
Stefan Jaehnert ◽  
Gerard L. Doorman
Keyword(s):  
Wind Power ◽  
Power Market ◽  
Power Production ◽  
Reserve Requirement ◽  
Market Operation ◽  
Operation Reserve

scholarly journals Influence of wind power production on electricity market price

2020 ◽  
Vol 24 (1) ◽  
pp. 472-482
Author(s):  
Gunars Valdmanis ◽  
Gatis Bazbauers
Keyword(s):  
Wind Power ◽  
Electricity Market ◽  
System Analysis ◽  
Market Price ◽  
Power Market ◽  
Power Production ◽  
Energy System ◽  
Market Prices ◽  
Renewable Power ◽  
The Baltic

AbstractThe study looks for a correlation between the share of wind power and electricity wholesale prices in the selected regions of the Nordic Baltic power market “Nord Pool Spot”. The aim is to see if and how strong an impact of wind power production has on power market prices. This information would help to perform long-term energy system analysis considering growing wind energy penetration. The actual hourly wind production and power consumption data as well as electricity prices from the year 2019 were used in the analysis. Results of the study revealed that in the analysed dataset there is no correlation between the share of wind power and the power prices, i.e. R-squared value is 0.003 for the Baltic region and 0.0064 for both trading areas of Denmark. In contrast, the R-squared value was almost 0.6 for a positive correlation between power demand and prices. The results mean that expected loss of interest to invest due to falling power prices, as a share of renewable power increases, should be examined more carefully and may not fulfil forecasts of policy makers and industry experts.

scholarly journals Scenarios for offshore wind power production for Central California Call Areas

Wind Energy ◽  
2021 ◽  
Author(s):  
Yi‐Hui Wang ◽  
Ryan K. Walter ◽  
Crow White ◽  
Matthew D. Kehrli ◽  
Benjamin Ruttenberg
Keyword(s):  
Wind Power ◽  
Power Production ◽  
Offshore Wind ◽  
Central California ◽  
Offshore Wind Power

When socialists marketize: the case of China’s wind power market sector

2018 ◽  
Vol 12 (2) ◽  
pp. 154-168 ◽  
Author(s):  
Julia Kirch Kirkegaard ◽  
Koray Caliskan
Keyword(s):  
Wind Power ◽  
Power Market ◽  
Market Sector

Realistic Solutions for Wind Power Production with Climate Change

2012 ◽  
Vol 34 (10) ◽  
pp. 912-918 ◽  
Author(s):  
J. A. Orosa ◽  
E. J. García-Bustelo ◽  
A. C. Oliveira
Keyword(s):  
Climate Change ◽  
Wind Power ◽  
Power Production

scholarly journals Norwegian hindcast archive (NORA3) – A validation of offshore wind resources in the North Sea and Norwegian Sea

2021 ◽  
Author(s):  
Ida Marie Solbrekke ◽  
Asgeir Sorteberg ◽  
Hilde Haakenstad
Keyword(s):  
Wind Power ◽  
Power Production ◽  
Offshore Wind ◽  
Norwegian Sea ◽  
Offshore Wind Power ◽  
Wind Speeds ◽  
The North ◽  
The North Sea ◽  
Wind Events ◽  
Simulated Wind

Abstract. A new high-resolution (3 km) numerical mesoscale weather simulation spanning the period 2004–2018 is validated for offshore wind power purposes for the North Sea and Norwegian Sea. The NORwegian hindcast Archive (NORA3) was created by dynamical downscaling, forced with state-of-the-art hourly atmospheric reanalysis as boundary conditions. A validation of the simulated wind climatology has been carried out to determine the ability of NORA3 to act as a tool for planning future offshore wind power installations. Special emphasis is placed on evaluating offshore wind power-related metrics and the impact of simulated wind speed deviations on the estimated wind power and the related variability. The general conclusion of the validation is that the NORA3 data is rather well suited for wind power estimates, but gives slightly conservative estimates on the offshore wind metrics. Wind speeds are typically 5 % (0.5 ms−1) lower than observed wind speeds, giving an underestimation of offshore wind power of 10 %–20 % (equivalent to an underestimation of 3 percentage point in the capacity factor), for a selected turbine type and hub height. The model is biased towards lower wind power estimates because of overestimation of the frequency of low-speed wind events (< 10 ms−1) and underestimation of high-speed wind events (> 10 ms−1). The hourly wind speed and wind power variability are slightly underestimated in NORA3. However, the number of hours with zero power production (around 12 % of the time) is fairly well captured, while the duration of each of these events is slightly overestimated, leading to 25-year return values for zero-power duration being too high for four of the six sites. The model is relatively good at capturing spatial co-variability in hourly wind power production among the sites. However, the observed decorrelation length was estimated to be 432 km, whereas the model-based length was 19 % longer.

The influence of the main large-scale circulation patterns on wind power production in Portugal

2017 ◽  
Vol 102 ◽  
pp. 214-223 ◽  
Author(s):  
J.M. Correia ◽  
A. Bastos ◽  
M.C. Brito ◽  
R.M. Trigo
Keyword(s):  
Wind Power ◽  
Large Scale ◽  
Power Production ◽  
Large Scale Circulation ◽  
Circulation Patterns

scholarly journals High-Resolution Electricity Spot Price Forecast for the Danish Power Market

2020 ◽  
Vol 12 (10) ◽  
pp. 4267 ◽  
Author(s):  
Jannik Schütz Roungkvist ◽  
Peter Enevoldsen ◽  
George Xydis
Keyword(s):  
Electricity Market ◽  
Thermal Power ◽  
Power Market ◽  
Power Production ◽  
Spot Price ◽  
Price Forecasting ◽  
Learning Approaches ◽  
Electricity Prices ◽  
Price Forecast ◽  
Electricity Spot Price

Energy markets with a high penetration of renewables are more likely to be challenged by price variations or volatility, which is partly due to the stochastic nature of renewable energy. The Danish electricity market (DK1) is a great example of such a market, as 49% of the power production in DK1 is based on wind power, conclusively challenging the electricity spot price forecast for the Danish power market. The energy industry and academia have tried to find the best practices for spot price forecasting in Denmark, by introducing everything from linear models to sophisticated machine-learning approaches. This paper presents a linear model for price forecasting—based on electricity consumption, thermal power production, wind production and previous electricity prices—to estimate long-term electricity prices in electricity markets with a high wind penetration levels, to help utilities and asset owners to develop risk management strategies and for asset valuation.

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