DocumentCode
264915
Title
Robust Optimization Based Economic Dispatch for Managing System Ramp Requirement
Author
Thatte, Anupam A. ; Sun, Xu Andy ; Le Xie
Author_Institution
Texas A&M Univ., College Station, TX, USA
fYear
2014
fDate
6-9 Jan. 2014
Firstpage
2344
Lastpage
2352
Abstract
The increasing penetration of renewable generation poses a challenge to the power system operator´s task of balancing demand with generation due to the increased inter-temporal variability and uncertainty from renewables. Recently major system operators have been testing approaches to managing inter-temporal ramping requirement. In this paper we propose a robust optimization based economic dispatch model for ensuring adequate system ramp capability. The proposed model is critically assessed with the ramp product which is currently under consideration by several system operators. We conduct theoretical assessment based on a proposed lack-of-ramp probability (LORP) index and numerical assessment using Monte Carlo simulations. It is shown that compared with the recently proposed industry model, the proposed robust formulation of ramp requirement yields more smoothed generation cost variation and is capable of ensuring lower lack of ramp probability.
Keywords
Monte Carlo methods; optimisation; power generation dispatch; power generation economics; power system management; renewable energy sources; Monte Carlo simulations; industry model; inter-temporal ramping requirement; inter-temporal variability; lack-of-ramp probability index; numerical assessment; power system operators; ramp probability; renewable generation penetration; robust optimization based economic dispatch model; smoothed generation cost variation; system ramp requirement management; theoretical assessment; Economics; Generators; Indexes; Optimization; Robustness; Uncertainty; economic dispatch; ramp product; robust optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
System Sciences (HICSS), 2014 47th Hawaii International Conference on
Conference_Location
Waikoloa, HI
Type
conf
DOI
10.1109/HICSS.2014.295
Filename
6758893
Link To Document