Title :
Security constrained optimal power flow employing particle swarm optimization
Author :
Sharma, Bhavna ; Pandit, Manjaree
Author_Institution :
Dept. of Electr. Eng., Madhav Inst. of Technol. & Sci., Gwalior, India
Abstract :
This paper proposes an algorithm to solve the optimal power flow (OPF) problem with security constraints. The proposed approach uses particle swarm optimization (PSO) algorithm to obtain the optimal power dispatch for a given load so that the fuel cost is minimized and all operating and security constraints are satisfied. This algorithm computes the optimal generation schedule and effectively relieves bus voltage and line flow violations under single line outage contingencies. Security constraints such as bus voltage and line flow violations are effectively handled in the optimization problem using penalty function approach. The proposed approach has been tested on standard IEEE30 bus system. The results clearly indicate the superiority of the PSO algorithm in obtaining feasible solutions consistently for all tested line outages.
Keywords :
fault diagnosis; load flow; particle swarm optimisation; power generation dispatch; power generation scheduling; power system security; PSO algorithm; bus voltage; line flow violations; optimal generation schedule; optimal power dispatch; penalty function approach; security constrained optimal power flow; single line outage contingencies; standard IEEE30 bus system; swarm optimizationmization; Fuels; Genetic algorithms; Load flow; Optimization; Particle swarm optimization; Security; load flow; non smooth fuel cost function; optimal power flow; particle swarm optimization;
Conference_Titel :
Electrical, Electronics and Computer Science (SCEECS), 2012 IEEE Students' Conference on
Conference_Location :
Bhopal
Print_ISBN :
978-1-4673-1516-6
DOI :
10.1109/SCEECS.2012.6184843