Title | ||
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Hybrid particle swarm optimization with biased mutation applied to load flow computation in electrical power systems |
Abstract | ||
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This paper presents the implementation of a Hybrid Particle Swarm Optimization with Biased Mutation (HPSOBM) algorithm to solve the load flow computation in electrical power systems. The load flow study obtains the system status in the steady-state and it is widely used in the power system operation, planning and control. The proposed methodology is applied in a different computational model, which is based on the minimization of the power mismatches in the system buses. This new model searches for a greater convergence, and also a larger application in comparison with traditional numerical methods. In order to illustrate the proposed algorithm some simulations were conducted using the IEEE 14 bus system. |
Year | DOI | Venue |
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2011 | 10.1007/978-3-642-21515-5_70 | ICSI (1) |
Keywords | Field | DocType |
electrical power system,bus system,system bus,new model search,power mismatches,load flow computation,hybrid particle swarm optimization,load flow study,system status,power system operation,different computational model,load flow,electrical power systems,evolutionary computation,artificial intelligence,particle swarm optimization | Particle swarm optimization,Convergence (routing),Mathematical optimization,Computer science,Electric power system,Evolutionary computation,Multi-swarm optimization,Minification,Numerical analysis,Computation | Conference |
Volume | ISSN | Citations |
6728 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 3 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Camila Paes Salomon | 1 | 2 | 1.82 |
Maurilio Pereira Coutinho | 2 | 1 | 1.45 |
Germano Lambert-torres | 3 | 59 | 19.17 |
Cláudio Ferreira | 4 | 0 | 0.34 |