DocumentCode :
2197450
Title :
A Two-Layered Framework for Robust Dispatch with Transmission Constraints
Author :
Thatte, Anupam A. ; Le Xie
Author_Institution :
Dept. of Electr. & Comput. Eng., Texas A & M Univ., College Station, TX, USA
fYear :
2015
fDate :
5-8 Jan. 2015
Firstpage :
2507
Lastpage :
2515
Abstract :
This paper presents a two-layered framework for managing multi-interval economic dispatch with both transmission and ramping constraints in electric energy systems with a large penetration of variable resources. The proposed model is aimed at ensuring that there is sufficient flexibility in the dispatch to manage large net load ramp events while observing the transmission constraints in the power network. A flexibility metric termed lack of ramp probability (LORP) is used to quantify the ramp capability. This metric is shown to be applicable in system-wide and decomposed zonal settings. A two-layered robust optimization-based dispatch is then formulated as an approach to ensuring a level of LORP flexibility with transmission constraints in large power networks. This two-layered approach is shown to be rigorous in terms of guaranteeing flexibility and is implementable for real-time dispatch in multi-zonal energy systems. The performance of the proposed dispatch framework is illustrated in a modified IEEE 24-bus Reliability Test System.
Keywords :
optimisation; power generation dispatch; power generation economics; transmission networks; IEEE 24-bus reliability test system; LORP; electric energy systems; lack of ramp probability; multiinterval economic dispatch; multizonal energy systems; ramp capability; ramping constraints; real-time dispatch; robust dispatch; transmission constraints; two-layered robust optimization-based dispatch; Economics; Generators; Indexes; Load modeling; Real-time systems; Robustness; Uncertainty; economic dispatch; operating zone; ramp product; robust optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System Sciences (HICSS), 2015 48th Hawaii International Conference on
Conference_Location :
Kauai, HI
ISSN :
1530-1605
Type :
conf
DOI :
10.1109/HICSS.2015.301
Filename :
7070116
Link To Document :
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