DocumentCode :
613382
Title :
A methodology to analyse the impact of offshore wind forecasting error on electricity markets
Author :
Higgins, Peter ; Foley, A.M.
Author_Institution :
Sch. of Mech. & Aerosp. Eng., Queen´s Univ. Belfast, Belfast, UK
fYear :
2013
fDate :
5-8 May 2013
Firstpage :
584
Lastpage :
588
Abstract :
Currently wind power is dominated by onshore wind farms in the British Isles, but both the United Kingdom and the Republic of Ireland have high renewable energy targets, expected to come mostly from wind power. However, as the demand for wind power grows to ensure security of energy supply, as a potentially cheaper alternative to fossil fuels and to meet greenhouse gas emissions reduction targets offshore wind power will grow rapidly as the availability of suitable onshore sites decrease. However, wind is variable and stochastic by nature and thus difficult to schedule. In order to plan for these uncertainties market operators use wind forecasting tools, reserve plant and ancillary service agreements. Onshore wind power forecasting techniques have improved dramatically and continue to advance, but offshore wind power forecasting is more difficult due to limited datasets and knowledge. So as the amount of offshore wind power increases in the British Isles robust forecasting and planning techniques are even more critical. This paper presents a methodology to investigate the impacts of better offshore wind forecasting on the operation and management of the single wholesale electricity market in the Republic of Ireland and Northern Ireland using PLEXOS for Power Systems.
Keywords :
load forecasting; offshore installations; power generation economics; power generation planning; power markets; wind power plants; British Isles robust forecasting techniques; British Isles robust planning techniques; Northern Ireland; PLEXOS; Republic of Ireland; United Kingdom; ancillary service agreements; energy supply security; forecasting tools; fossil fuels; greenhouse gas emission reduction; market operators; offshore wind forecasting error; onshore wind farms; onshore wind power forecasting techniques; power systems; renewable energy targets; reserve plant; single wholesale electricity market; wind power; Europe; Forecasting; Power systems; Schedules; Stochastic processes; Wind forecasting; Wind power generation; Electricity markets; Offshore wind; Wind power forecasting error;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Environment and Electrical Engineering (EEEIC), 2013 12th International Conference on
Conference_Location :
Wroclaw
Print_ISBN :
978-1-4673-3060-2
Type :
conf
DOI :
10.1109/EEEIC.2013.6549583
Filename :
6549583
Link To Document :
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