CFP last date
20 January 2025
Reseach Article

Application of Bat Optimization Algorithm for Economic Load Dispatch Considering Valve Point Effects

by S. Sakthivel, R. Natarajan, P. Gurusamy
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 67 - Number 11
Year of Publication: 2013
Authors: S. Sakthivel, R. Natarajan, P. Gurusamy
10.5120/11442-7035

S. Sakthivel, R. Natarajan, P. Gurusamy . Application of Bat Optimization Algorithm for Economic Load Dispatch Considering Valve Point Effects. International Journal of Computer Applications. 67, 11 ( April 2013), 35-39. DOI=10.5120/11442-7035

@article{ 10.5120/11442-7035,
author = { S. Sakthivel, R. Natarajan, P. Gurusamy },
title = { Application of Bat Optimization Algorithm for Economic Load Dispatch Considering Valve Point Effects },
journal = { International Journal of Computer Applications },
issue_date = { April 2013 },
volume = { 67 },
number = { 11 },
month = { April },
year = { 2013 },
issn = { 0975-8887 },
pages = { 35-39 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume67/number11/11442-7035/ },
doi = { 10.5120/11442-7035 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:24:25.309212+05:30
%A S. Sakthivel
%A R. Natarajan
%A P. Gurusamy
%T Application of Bat Optimization Algorithm for Economic Load Dispatch Considering Valve Point Effects
%J International Journal of Computer Applications
%@ 0975-8887
%V 67
%N 11
%P 35-39
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Power system operation involves some kind of optimization for ensuring economy, security and stability. Economic load dispatch (ELD) is one such optimization problems and it is applied for minimizing the total fuel cost. Optimizing the fuel cost is done by properly setting the real power generation from the generators in a power system. In this work, ELD is achieved by considering two different cost functions. The bio inspired bat optimization algorithm (BOA) is used for optimally setting the values of the control variables. The BOA is a recently developed algorithm and is with less number of operators. The algorithm can be coded in any programming language easily. The proposed algorithm is tested on the standard IEEE-30 bus system and the results are compared with those of the other algorithms reported in the literature.

References
  1. Abou El Ela A. A. , Abido M. A. , Spea S. R. , "Optimal Power Flow using Differential Evolution Algorithm", Electric Power System Research, Vol. 80, No. 7, pp. 878–885, July 2010.
  2. Sayah S, Zehar K, "Modified Differential Evolution Algorithm for Optimal Power Flow with Non-smooth Cost Functions", Energy Conversion and management, Vol. 49, No. 11, pp. 3036–3042, November 2008.
  3. N. Sinha, R. Chakrabarti, P. K. Chattopadhyay, "Evolutionary Programming Techniques for Economic Load Dispatch", IEEE Transactions on Evolutionary Computations, Vol. 7, No. 1, pp. 83–94, 2003.
  4. He Da-kuo, Wang Fu-li, Mao Zhi-zhong, "Hybrid Genetic Algorithm for Economic Dispatch with Valve-point Effect", Elsevier, Electric Power Systems Research, 78, pp. 626–633, 2008.
  5. Yan X, Quantana VH, "Improving an Interior Point based OPF by Dynamic Adjustments of Step Sizes and Tolerances", IEEE Transactions on Power Systems, Vol. 14, No. 2, pp. 709–717, May 1999.
  6. Habiabollahzadeh H, "Hydrothermal Optimal Power Flow based on Combined Linear and Nonlinear Programming Methodology", IEEE Transactions on Power Systems, Vol. 4, No. 2, pp. 530–537, May 1989.
  7. Z. -X. Liang, J. D. Glover, "A Zoom Feature for a Dynamic Programming Solution to Economic Dispatch Including Transmission Losses", IEEE Transactions on Power Systems, Vol. 7, No. 5, pp. 544–549, 1992.
  8. KP. Wang, CC. Fung, Simulate Annealing based Economic Dispatch Algorithm, IEE Proc C 1993, Vol. 140, No. 6, pp. 507–513.
  9. HT. Yang, PC. Yang, CL. Huang. , "Evolution Programming based Economic Dispatch for Units with Non-smooth Fuel Cost Functions", IEEE Transactions on Power Systems, 1996, Vol. 11, No. 1, pp. 112–118,1996.
  10. W. Ongsakul, Dechanupapritttha S, Ngamroo I, Tabu Search Algorithm for Constrained Economic Dispatch, In: Proceedings of the international conference on power systems, Wuhan, China, September 2001, pp. 428–433.
  11. Gaing Zwe-Lee, "Particle Swarm Optimization to Solving the Economic Dispatch Considering the Generator Constraints", IEEE Transactions Power Systems, Vol. 18, No. 3, pp. 1187–1195, 2003.
  12. Yang, X. S. , "Bat Algorithm for Multi-objective Optimization", Int. J. Bio-Inspired Computation, Vol. 3, No. 5, pp. 267-274, 2011.
  13. Bora, Teodoro C, "Bat-Inspired Optimization Approach for the Brushless DC Wheel Motor Problem", IEEE Transactions on Magnetics, Vol. 48, No. 2, pp. 947-950, Feb. 2012.
  14. Power Systems Test Case, 2000, The University of Washington Archive, http://www. ee. washington. edu/research/pstca.
  15. Y. Labbi, D. Ben Attous, "Big Bang–Big Crunch Optimization Algorithm for Economic Dispatch with Valve-Point Effect", Journal of Theoretical and Applied Information Technology, Vol. 16, No. 1, pp. 48-56, 2010.
  16. Thitithamrongchai, B. Eua-arporn, "Self-adaptive Differential Evolution Based Optimal Power Flow for Units with Non-smooth Fuel Cost Functions", JES Journal of Electrical Systems, Vol. 3, No. 2, pp. 88-99, 2007.
Index Terms

Computer Science
Information Sciences

Keywords

Bat optimization algorithm Economic load dispatch Valve point effects