JOURNAL BROWSE
Search
Advanced SearchSearch Tips
Optimal Operation Method of Microgrid System Using DS Algorithm
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
Optimal Operation Method of Microgrid System Using DS Algorithm
Park, Si-Na; Rhee, Sang-Bong;
  PDF(new window)
 Abstract
This paper presents an application of Differential Search (DS) meta-heuristic optimization algorithm for optimal operation of micro grid system. DS algorithm has the benefit of high convergence rate and precision compared to other optimization methods. The micro grid system consists of a wind turbine, a diesel generator, and a fuel cell. The simulation is applied to micro grid system only. The wind turbine generator is modeled by considering the characteristics of variable output. One day load data which is divided every 20 minute and wind resource for wind turbine generator are used for the study. The method using the proposed DS algorithm is easy to implement, and the results of the convergence performance are better than other optimization algorithms.
 Keywords
Diesel Generator;Fuel Cell;DS Algorithm;Micro Grid System;Optimization;Optimal Operation;Wind Turbine Generator;
 Language
Korean
 Cited by
 References
1.
Lasseter, R., "MicroGrids,", IEEE Power Engineering Socciety Winter Meeting, 2002., New York, NY, 2002, p. 305-08.

2.
Zwe-Lee Gaing, "Particle swarm optimization to solving the economic dispatch considering the generator constraints," IEEE Trans. on Power Sysem., Vol. 18, No.3, pp. 1187-1195, Aug. 2003.

3.
J. Kennedy and R. Eberhart, "Particle swarm optimization," Proc. IEEE Int. Conf. Neural Networks, vol. IV, pp. 1942-1948, 1995.

4.
Y. Shi and R. Eberhart, "A modified particle swarm optimizer," Proc. IEEE Int. Conf. Evol. Comput., pp. 69-73, May 1998.

5.
R. Boyce, Human Factors in Lighting, 2ndEdition, Lighting Research Center, 2003.

6.
J. Kennedy and R. Eberhart, "Particle swarm optimization," Proc. IEEE Int. Conf. Neural Networks, vol. IV, pp. 1942-1948, 1995.

7.
Geem, Z.W., Tseng, C-L. and Park, Y. "Harmony search for generalized orienteering problem: best touring in China," Book Advanced in Natural Computation, Vol. 361, No. 2, Springer Berlin/Heidelberg, 2005.

8.
P. Civicioglu, "Transforming geocentric cartesian coordinates to geodetic coordinates by using differential search algorithm," Computers & Geosciences, Vol. 46, pp. 229-247, 2012. crossref(new window)

9.
Sang-Bong Rhee, Kyu-Ho Kim, Chul-Hwan Kim, "An Application of Harmony Search Algorithm for Operational Cost Minimization of MicroGrid System", Trans. KIEE, Vol. 58, No. 7, pp.1287-1293, JUL, 2009.

10.
Michalewicz, Z., "A Survey of Constraint Handling Techniques in Evolutionary Computation Method" Proc. 4th Annual Conference on Evolutionary Programming, pp. 135-155, 1995.