DocumentCode :
3120055
Title :
Inuence of technical-economic energy context for the management of wind farms and storage systems in a constrained network
Author :
Monjean, Pascal ; Sprooten, Jonathan ; Robyns, Benoît
Author_Institution :
Lab. of Electr. Eng. & Power Electron. of Lille (L2EP), Lille, France
fYear :
2010
fDate :
4-7 July 2010
Firstpage :
2420
Lastpage :
2425
Abstract :
This paper presents the control of wind generators and energy storage systems in a competitive market and technically constrained electrical systems. In such situations, storage systems have two purposes; the first one is to recover renewable energy which is normally cut off when line congestions are present. The second one is to increase its profitability, buying and selling energy on the market by taking advantage of price fluctuation. The optimization of the hybrid wind-storage system is realized in this paper using Iterative Dynamic Programming and considering wind production, load and price forecast one day in advance. Then, an economic study is achieved in order to show the effect of different market scenarios for both conventional or renewable production. Simulation results first show that the correct location and sizing of the storage system can increase wind production recovery. Secondly, the impact of renewable energy pricing on the management of the hybrid wind-storage system is studied. The optimization of revenues or renewable energy production is not always compatible in presence of storage and variable energy prices.
Keywords :
dynamic programming; iterative methods; optimal control; power generation control; power generation economics; power markets; pricing; wind power plants; competitive market; constrained network; energy storage systems; hybrid wind-storage system; iterative dynamic programming; optimal control; renewable energy pricing; storage systems; technical-economic energy context; technically constrained electrical systems; wind farms; wind generators; wind production; wind production recovery; Energy storage; Mathematical model; Optimal control; Production; Renewable energy resources; Wind energy; Wind farms; Hybrid wind farm-storage generation; Iterative Dynamic Programming; Network congestion; Optimal Control; Technical-economic optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics (ISIE), 2010 IEEE International Symposium on
Conference_Location :
Bari
Print_ISBN :
978-1-4244-6390-9
Type :
conf
DOI :
10.1109/ISIE.2010.5637531
Filename :
5637531
Link To Document :
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