DocumentCode :
2130684
Title :
Optimal allocation of spinning reserve in a restructured power system using particle swarm optimization
Author :
Hajian-Hoseinabadi, H. ; Fotuhi-Firuzabad, M. ; Hajian, M.
Author_Institution :
Dept. of Electr. Eng., Sharif Univ. of Technol., Tehran
fYear :
2008
fDate :
4-7 May 2008
Abstract :
A reasonable amount of spinning reserve is essential to satisfy system security constraints when the power system encounters a contingency. Most of the methods previously developed for spinning reserve assessment ignore the probabilistic aspects of system components. This paper presents the design of a market for energy and spinning reserve services. This dispatching method has been developed to minimize the cost associated with theses services while maintaining the system security. Particle swarm optimization (PSO) is used for determining the global optimal solution for this dispatch problem. The effectiveness of the proposed approach is examined by application to the IEEE reliability test system (RTS). The results obtained with the proposed approach are presented and compared with those of genetic algorithms (GA).
Keywords :
cost reduction; load dispatching; particle swarm optimisation; power markets; power system economics; power system security; IEEE reliability test system; PSO; cost minimization; dispatching method; optimal spinning reserve allocation; particle swarm optimization; probabilistic aspect; restructured power system; system security constraint; Contracts; Cost function; Dispatching; Genetic algorithms; Lagrangian functions; Particle swarm optimization; Power system security; Power system stability; Power systems; Spinning; Capacity outage probability table (COPT); Customer interruption cost (CIC); Expected energy not supplied(EENS); Genetic Algorithms (GA); Particle swarm optimization (PSO); Probabilistic reserve assessment; Ramp rate; Value of lost load (VOLL);
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Computer Engineering, 2008. CCECE 2008. Canadian Conference on
Conference_Location :
Niagara Falls, ON
ISSN :
0840-7789
Print_ISBN :
978-1-4244-1642-4
Electronic_ISBN :
0840-7789
Type :
conf
DOI :
10.1109/CCECE.2008.4564592
Filename :
4564592
Link To Document :
بازگشت