DocumentCode
2967894
Title
Maximum loadability limit of power systems using different particle swarm optimization techniques
Author
Acharjee, P. ; Indira, A. ; Mandal, S. ; Thakur, S.S.
Author_Institution
Dept. of Electr. Eng., Nat. Inst. of Technol., Durgapur, India
fYear
2009
fDate
8-11 Dec. 2009
Firstpage
1573
Lastpage
1577
Abstract
The efficient method to assess the static voltage stability is maximum loadability limit (MLL). Loadability problem is formulated as an optimization problem considering both equality and inequality constraints. Three particle swarm optimization (PSO) techniques namely general PSO, Adaptive PSO (APSO) and Chaotic PSO (CPSO) are developed to obtain maximum loadability limit under voltage limits and reactive power generation limits. In APSO method, PSO-parameters are made adaptive with the problem and chaos is incorporated in CPSO method to obtain faster & reliable convergence. All methods are applied on standard IEEE 14 bus, 30 bus & 57 bus test systems to show their effectiveness & efficiencies.
Keywords
chaos; particle swarm optimisation; power station load; power system stability; IEEE 14 bus test; IEEE 30 bus test; IEEE 57 bus test; MLL; PSO-parameters; adaptive pso; chaotic pso; general PSO; particle swarm optimization techniques; power system maximum loadability limit; reactive power generation limits; static voltage stability; Chaos; Constraint optimization; Convergence; Particle swarm optimization; Power generation; Power system reliability; Power system stability; Power systems; Reactive power; Voltage; Adaptive particle swarm optimization; chaotic particle swarm optimization; maximum loadability limit;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Engineering and Engineering Management, 2009. IEEM 2009. IEEE International Conference on
Conference_Location
Hong Kong
Print_ISBN
978-1-4244-4869-2
Electronic_ISBN
978-1-4244-4870-8
Type
conf
DOI
10.1109/IEEM.2009.5373101
Filename
5373101
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