ARTIFICIAL INTELLIGENCE AND PARTICLE SWARM OPTIMIZATION ALGORITHM FOR OPTIMIZATION PROBLEM IN MICROGRIDS

Authors

  • Yuvaraja T Meenakshi Academy of Higher Education and Research
  • RAMYA K
  • Gopinath M

Abstract

The modern heuristic techniques mainly include the application of the artificial intelligence approaches such as genetic algorithm, particle swarm
optimization algorithm, ant colony optimization, stochastic diffusion search, differential evolution, etc. The main aspect of these techniques is their
flexibility for solving the optimization problems that have different mathematical constraints. In a power system area, the competition between the
electric utilities is gradually increased due to the deregulation of the electrical markets. For this reason, the generation expansion problem presents
itself as an important issue that needs to be considered in order to achieve reasonable economic decisions.
Keywords: Genetic algorithm, Particle swarm optimization, Artificial intelligence.

Author Biography

Yuvaraja T, Meenakshi Academy of Higher Education and Research

Power Electronics, Electrical and Electronics Department

References

Kannan S, Slochanal SM, Padhy NP. Application and comparison of metaheuristic techniques to generation expansion planning problem. Power Syst IEEE Trans.2005;20:466-75.

Wu F, Zheng Y, Yunhe H, Yixin N. Applications of AI techniques to generation planning and investment. Power Eng Soc Gen Meet IEEE 2004;1:936-40.

Schrijver A. Theory of Linear and Integer Programming. New York: John Wiley & Sons Inc.; 1998.

Farag A, Al-Baiyat S, Cheng TC. Economic load dispatch multi objective optimization procedures using linear programming techniques. Power Syst IEEE Trans 1995;10:731-8.

Jabr RA, Coonick AH, Cory BJ. A homogeneous linear programming algorithm for the security constrained economic dispatch problem. Power Syst IEEE Trans2000;15:930-6.

Delson JK, Shahidehpour SM. Linear programming applications to power system economics, planning and operations. Power Syst IEEE Trans 1992;7:1155-63.

Kurucz CN, Brandt D, Sim S. A linear programming model for reducing system peak through customer load control programs. Power Syst IEEE Trans 1996;11: 1817-24.

Khodr HM, Gomez JF, Barnique L, Vivas JH, Paiva P, Yusta JM, et al. A linear programming methodology for the optimization of electric power-generation schemes. Power Syst IEEE Trans 2002;17:864-9.

Ng KH, Sheble GB. Direct load control-a profit-based load management using linear programming. Power Syst IEEE Trans 1998;13:688-94.

Published

2015-05-01

How to Cite

Yuvaraja T, RAMYA K, and G. M. “ARTIFICIAL INTELLIGENCE AND PARTICLE SWARM OPTIMIZATION ALGORITHM FOR OPTIMIZATION PROBLEM IN MICROGRIDS”. Asian Journal of Pharmaceutical and Clinical Research, vol. 8, no. 3, May 2015, pp. 31-35, https://innovareacademics.in/journals/index.php/ajpcr/article/view/5585.

Issue

Section

Review Article(s)