DocumentCode :
134840
Title :
Early detection and optimal corrective measures of power system insecurity in enhanced look-ahead dispatch
Author :
Yingzhong Gu ; Le Xie
Author_Institution :
ECE, Texas A&M Univ., College Station, TX, USA
fYear :
2014
fDate :
27-31 July 2014
Firstpage :
1
Lastpage :
1
Abstract :
Summary form only given. 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 the system operators for taking timely actions with more flexible and cost-effective measures. This, in addition to the economic benefits studied in the literature, demonstrate 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 :
load dispatching; power system management; power system security; IEEE reliability test system; LSM scheme; STDC; contingency conditions; early detection; enhanced look-ahead dispatch framework; look-ahead security management scheme; minimal cost; optimal corrective measures; optimal recovery plan; power system insecurity; security risks; short-term dispatchable capacity; Economics; Educational institutions; Power measurement; Power system reliability; Prediction algorithms; Security;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
PES General Meeting | Conference & Exposition, 2014 IEEE
Conference_Location :
National Harbor, MD
Type :
conf
DOI :
10.1109/PESGM.2014.6938982
Filename :
6938982
Link To Document :
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