DocumentCode
45295
Title
Early Detection and Optimal Corrective Measures of Power System Insecurity in Enhanced Look-Ahead Dispatch
Author
Yingzhong Gu ; Le Xie
Author_Institution
Dept. of Electr. & Comput. Eng., Texas A&M Univ., College Station, TX, USA
Volume
28
Issue
2
fYear
2013
fDate
May-13
Firstpage
1297
Lastpage
1307
Abstract
This paper presents a novel algorithm for the early detection and optimal corrective measures of power system insecurity in an enhanced look-ahead dispatch framework. By introducing short-term dispatchable capacity (STDC) into the proposed look-ahead security management (LSM) scheme, the algorithm is capable of predicting and identifying future infeasibilities that pose security risks to the system under both normal conditions and assumed contingency conditions. An optimal recovery plan can be computed to prevent system insecurity at a minimal cost. Early awareness of such information is of vital importance to system operators for taking timely actions with more flexible and cost-effective measures. This, in addition to the economic benefits studied in the literature, demonstrates the advantage of security improvement of the look-ahead dispatch framework. The performance of the proposed algorithms is illustrated in a revised 24-bus IEEE Reliability Test System as well as in a practical 5889-bus system.
Keywords
power system economics; power system management; power system planning; power system security; 24-bus IEEE reliability test system; LSM scheme; STDC; contingency condition; early detection; economic benefits; enhanced look-ahead dispatch framework; look-ahead security management scheme; normal condition; optimal corrective measures; optimal recovery plan; power system insecurity; practical 5889-bus system; security improvement; security risks; short-term dispatchable capacity; Economics; Generators; Optimization; Power systems; Real-time systems; Security; Uncertainty; Infeasibility identification; look-ahead security constrained economic dispatch; model predictive control; optimal corrective solution; relaxing variable; security management;
fLanguage
English
Journal_Title
Power Systems, IEEE Transactions on
Publisher
ieee
ISSN
0885-8950
Type
jour
DOI
10.1109/TPWRS.2012.2210252
Filename
6307906
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