CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

An Efficient Analytical Technique for Fixed-Head Hydrothermal Scheduling

by V. Vasudevan, P. Aravindhababu
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 134 - Number 3
Year of Publication: 2016
Authors: V. Vasudevan, P. Aravindhababu
10.5120/ijca2016907883

V. Vasudevan, P. Aravindhababu . An Efficient Analytical Technique for Fixed-Head Hydrothermal Scheduling. International Journal of Computer Applications. 134, 3 ( January 2016), 30-34. DOI=10.5120/ijca2016907883

@article{ 10.5120/ijca2016907883,
author = { V. Vasudevan, P. Aravindhababu },
title = { An Efficient Analytical Technique for Fixed-Head Hydrothermal Scheduling },
journal = { International Journal of Computer Applications },
issue_date = { January 2016 },
volume = { 134 },
number = { 3 },
month = { January },
year = { 2016 },
issn = { 0975-8887 },
pages = { 30-34 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume134/number3/23896-2016907883/ },
doi = { 10.5120/ijca2016907883 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:33:11.305252+05:30
%A V. Vasudevan
%A P. Aravindhababu
%T An Efficient Analytical Technique for Fixed-Head Hydrothermal Scheduling
%J International Journal of Computer Applications
%@ 0975-8887
%V 134
%N 3
%P 30-34
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The short-term hydrothermal scheduling is a daily planning proposition in power system operation, a task which is usually more complex than the scheduling of all-thermal generation system. The classical iteration method involves time consuming three iterative loops for obtaining the optimal solution. This paper presents an analytical method for eliminating the two iterative loops of the classical iteration method with a view of enhancing the computational efficiency. It includes the simulation results of four test cases with a view to highlight its computational efficiency, irrespective of the problem size.

References
  1. Wood. AJ & Woolenberg. BF. (1996). Power generation, operation and control, John Willey & Sons, New York.
  2. Salam Nor KM, Hamdan AR.( 1998). Hydrothermal scheduling based Lagrangian relaxation approach to hydrothermal coordination. IEEE Trans Power Syst, 13(1):226–35.
  3. Li C, Svoboda AJ, Tseng Chung-Li, Johnson RB.( 1997). Hydro unit commitment in hydro-thermal optimization. IEEE Trans Power Syst, 12(2):764–9.
  4. Nilsson O, Sjelvgren D. (1996). Mixed-integer programming applied to short-term planning of a hydro-thermal system. IEEE Trans Power Systems, 11(1): 281–6.
  5. Zaghlool MF, Trutt FC. (1988). Efficient methods for optimal scheduling of fixed head hydrothermal power systems. IEEE Trans Power Syst, 3(1):24–30.
  6. Piekutowski M, Litwinowicz T, Frowd R. (1994). Optimal short-term scheduling for a large-scale cascaded hydro system. IEEE Trans Power Syst, 9(2):805–11.
  7. Li CA, Jap PJ, Streiffert DL. (1993). Implementation of network flow programming to the hydrothermal coordination in an energy management system. IEEE Trans Power Syst, 8(3):1045–53.
  8. Oliveira GG, Soares S. (1995). A second order network flow algorithm for hydrothermal scheduling. IEEE Trans Power Syst, 10(3):1635–41.
  9. Sjelvgren D, Brännlund H, Dillon TS. (1989). Large-scale non-linear programming applied to operations planning. Int J Electr Power Energy Syst, 11(3): 213–7.
  10. Wong KP, Wong YW. (1994). Short-term hydrothermal scheduling, part-I: simulated annealing approach. IEE Proc Part-C, 141(5):497–501.
  11. Turkay B, Mecitog˘lu F, Baran S. (2011). Application of a fast evolutionary algorithm to short-term hydro-thermal generation scheduling. Energy Sourc, Part B: Econo, Plan, Policy:395–405.
  12. Sasikala J, Ramaswamy M. (2010). Optimal gamma based fixed head hydrothermal scheduling using genetic algorithm. Expert Syst Appl, 37(4):3352–7.
  13. Basu M. (2011). Artificial immune system for fixed head hydrothermal power system Energy, 36(1):606–12.
  14. Bai X, Shahidehpour SM. (1996). Hydro-thermal scheduling by tabu search and decomposition method. IEEE Trans Power Syst, 11(2):968–74.
  15. Huang SJ. (2001). Enhancement of hydroelectric generation scheduling using ant colony system based optimization approaches. IEEE Trans Energy Convers, 16(3):296–301.
  16. Wang Y, Zhou J, Zhou C, Wang Y, Qin H, Lu Y. (2012). An improved self-adaptive PSO technique for short-termhydrothermal scheduling. Expert Syst Appl, 39(3): 2288–95.
  17. Basu M. (2014). Improved differential evolution for short-term hydrothermal scheduling. Int J Electr Power Energy Syst, 58:91–100.
  18. Wang Y, Zhou J, Mo L, Zhang R, Zhang Y. (2012). Short-term hydrothermal generation scheduling using differential real-coded quantum-inspired evolutionary algorithm. Energy, 44(1):657–71.
  19. Zhou J, Liao X, Ouyang S, Zhang R, Zhang Y. (2014). Multi-objective artificial bee colony algorithm for short-term scheduling of hydrothermal system. Int J Electr Power Energy Syst, 55:542–53.
  20. Abdul Halim, Abdul Rashid and Khalid Mohamed Nor. (1991). An efficient method for optimal scheduling of fixed head hydro and thermal plants, IEEE Trans. on Power Systems, 6(2), 631-636.
Index Terms

Computer Science
Information Sciences

Keywords

Hydrothermal Scheduling SHTS

Powered by PhDFocusTM