DocumentCode :
1867254
Title :
Optimal load shedding to prevent voltage instability based on multi-objective optimization using modal analysis and PSO
Author :
Jalilzadeh, Saeid ; Hosseini, Seyed Hadi ; Derafshian-Maram, Mehdi
Author_Institution :
Zanjan Univ., Zanjan, Iran
fYear :
2010
fDate :
18-20 Oct. 2010
Firstpage :
371
Lastpage :
376
Abstract :
This paper presents an optimal load shedding approach to enhance voltage stability employing a combination of modal analysis and particle swarm optimization (PSO). At first as a preventive control action the best transformers tap setting is indicated by PSO optimization to get the most possible voltage stability margin then as a corrective control action after contingencies the proposed approach is organized as a multi-objective optimization problem which reveals the best location and the lowest level of load shedding for special protection systems (SPS) in the direction of improving the voltage stability margin as well as the voltage profile. The proposed approach is applied to Gharb and Bakhtar areas of the Iranian transmission network for its annual peak load at 2009. Simulation results verify the effectiveness of the proposed scheme in comparison with the current scheme.
Keywords :
load shedding; particle swarm optimisation; power system stability; power transformers; power transmission protection; Iranian transmission network; modal analysis; multiobjective optimization; optimal load shedding approach; particle swarm optimization; preventive control action; special protection systems; transformers tap setting; voltage instability prevention; voltage profile; Eigenvalues and eigenfunctions; Generators; Jacobian matrices; Modal analysis; Power system stability; Stability criteria; AHP; Load Shedding; Modal Analysis; Multi-Objective Optimization; PSO; Transformer tap; Voltage Stability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), 2010 International Congress on
Conference_Location :
Moscow
ISSN :
2157-0221
Print_ISBN :
978-1-4244-7285-7
Type :
conf
DOI :
10.1109/ICUMT.2010.5676611
Filename :
5676611
Link To Document :
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