DocumentCode
695388
Title
An Evaluation of Algorithms to Solve for Do-Not-Exceed Limits for Renewable Resources
Author
Shaobo Zhang ; Singhal, Nikita G. ; Hedman, Kory W. ; Vittal, Vijay ; Junshan Zhang
Author_Institution
Arizona State Univ., Tempe, AZ, USA
fYear
2015
fDate
5-8 Jan. 2015
Firstpage
2567
Lastpage
2576
Abstract
As power systems become more reliant on intermittent resources, system operators are faced with the fact that the availability of intermittent resources is beyond human control and largely unpredictable. Due to the lack of compliance from intermittent resources to follow strict dispatch instructions, the dispatch instruction for an intermittent resource is proposed to be a desired dispatch range or a do-not-exceed (DNE) limit. In this paper, a two-stage robust optimization problem determines the DNE limits, which define the region where the system is guaranteed to reliably handle any wind realization within the specified DNE limit range. Two algorithms are implemented in this paper, each of which can handle the bilinear sub-problem in this two-stage problem. The results show that local search algorithms do not perform well when compared to a big-M based MILP reformulation. All numerical results are based on the IEEE-118 bus test system.
Keywords
integer programming; linear programming; power generation dispatch; DNE limit range; DNE limits; IEEE-118 bus test system; MILP reformulation; dispatch instruction; intermittent resources; renewable resources; system operators; two-stage robust optimization problem; wind realization; Automatic generation control; Generators; Optimization; Robustness; Uncertainty; Wind forecasting; do not exceed limits; operations research; power system economics; power system optimization; power system reliability; renewable integration; 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.2015.309
Filename
7070124
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