DocumentCode
3015172
Title
Solutions and practical experience for the calculation of LOLE and EDNS in the Spanish extrapeninsular isolated electric systems
Author
Revuelta, J. ; López, R.
Author_Institution
Red Electr. Internacional, Spain
fYear
2009
fDate
27-29 May 2009
Firstpage
1
Lastpage
7
Abstract
This article presents the solutions adopted by Red Eleacutectrica de Espantildea (REE) in its software, LOLA, developed with the main purpose of calculating the probabilistic demand coverage indices LOLE-Loss Of Load Expectation- and EDNS-Expected Demand Not Supplied- for the 10 Spanish extrapeninsular electric systems, making it possible to assess system adequacy through a non deterministic approach. Several problems were encountered when calculating these indices using the methodologies found in the literature, dealing with computing time or with accuracy of simplified models. Three methodologies, presented in this article, developed by the authors allowed a successful analysis of large number of years, electric systems and scenarios. They are based in a Full Combinatorial Analysis, an innovative Limited Combinatorial Analysis, and a Monte Carlo analysis. Other solutions adopted in LOLA are presented.
Keywords
Monte Carlo methods; combinatorial mathematics; power generation economics; power generation planning; probability; supply and demand; EDNS; Expected Demand Not Supplied; LOLE; Loss Of Load Expectation; Monte Carlo analysis; Red Eleacutectrica de Espantildea; Spanish extrapeninsular isolated electric systems; combinatorial analysis; power generation planning; probabilistic demand coverage indices; Cities and towns; Cost function; Failure analysis; Helium; Monte Carlo methods; Probability distribution; Reliability engineering; Security; Software maintenance; Technology forecasting; Demand coverage; EDNS; LOLE; generation adequacy; security of supply;
fLanguage
English
Publisher
ieee
Conference_Titel
Energy Market, 2009. EEM 2009. 6th International Conference on the European
Conference_Location
Leuven
Print_ISBN
978-1-4244-4455-7
Type
conf
DOI
10.1109/EEM.2009.5207220
Filename
5207220
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