Based on Improvement Immunity Algorithm Electrical Power System Optimal Power Flow Computation

Li Xiao

doi:10.4028/www.scientific.net/AMM.278-280.1314

Paper Titles

An Efficient Algorithm for License Plate Recognition
p.1297

An Improved Algorithm Using B-Spline Weight Functions for Training Feedforward Neural Networks
p.1301

An Improved Web Text Classification Algorithm Based on SVM-KNN
p.1305

Application of Hybrid Algorithm to Real-Time Face Recognition
p.1309

Based on Improvement Immunity Algorithm Electrical Power System Optimal Power Flow Computation
p.1314

Collision Avoidance Strategy Optimization of Ship’s Speed Alteration with Bacterial Foraging Algorithm
p.1318

Fuzzy C-Regression Models
p.1323

Implementation for Improved Algorithm of Circle Anti-Aliasing
p.1327

Performance Test Functions of Genetic Algorithm
p.1334

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 278-280Based on Improvement Immunity Algorithm Electrical...

Based on Improvement Immunity Algorithm Electrical Power System Optimal Power Flow Computation

Abstract:

Proposed one kind of improvement artificial immunization algorithm calculates the electrical power system most superior tidal current, this algorithm maintained the basic immunity algorithm comprehensive search ability, also the concept which is apart from through the introduction vector causes the immunity algorithm theoretically to guarantee the understanding the multiplicity. Through the IEEE-30pitch point system computed result indicated this algorithm is feasible. And so on compares with the heredity algorithm, this algorithm overall situation search ability strong, the convergence rate is quick.

You might also be interested in these eBooks

Advances in Mechatronics and Control Engineering

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 278-280)

Pages:

1314-1317

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.278-280.1314

Citation:

Cite this paper

Online since:

January 2013

Authors:

Li Xiao

Keywords:

Artificial Immune Algorithm, Evolutionary Algorithm (EA), Optimal Power Flow (OPF)

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Dommel H W. Tinney W F. Optimal Power Flow Solutions[J]. IEEE Trans on PAS. 1968, 87(10): 1866~1876.

DOI: 10.1109/tpas.1968.292150

Google Scholar

[2] Sun P I, A shlev B, Brewer B, et al. Optimal Power Flow by new ton Approaching[J]. IEEE Trans on PAS, 1984, 103( 10): 2864- 2880.

Google Scholar

[3] Alsac O, Bright J, Prais M, etal. Further Development in LP based Optimal Power Flow[J]. IEEE Trans on PWRS, 1990, 5(3): 697~711.

DOI: 10.1109/59.65896

Google Scholar

[4] Sun YongZhi. The Research on Model, Algorithm and Application of Artificial Immune System[D]. ZheJiang University. (2004).

Google Scholar

[5] Li Tao. Computer Immunology [M]. Beijing Publishing house of electronics industry；(2004).

Google Scholar

[6] Sun Yongzhi. Solution of optimal Power Flow Problem Based on Artificial Immune Algorithm[J]. Automation of Plectric Power Systems；Vo1. 26 No. 12 . Tune 25, (2002).

Google Scholar

[7] Guo Ruipeng, Han Zhenxiang. Nonlinear Programming Model&Algorithm for Point of Collapse[J]. Proceedings of the CSPP；Vol. 19 No. 4 Apr. (1999).

Google Scholar