Application of enhanced PSO approach to optimal scheduling of hydro system

Energy Conversion and Management

Volumn 49, Issue 11, 2008, Pages 2966-2972

  Yuan, Xiaohui ^a   Wang, Liang ^a   Yuan, Yanbin ^b  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b WUHAN UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Chaos; Economic operation; Hydro plants; Particle swarm optimization

Indexed keywords

CHAOTIC SYSTEMS; CONVERGENCE OF NUMERICAL METHODS; HEURISTIC PROGRAMMING; HYDROELECTRIC POWER; SCHEDULING;

BEST POSITION; CHAOS; CHAOTIC SEQUENCES; CONVERGENCE PROPERTIES; DAILY GENERATION SCHEDULING; ECONOMIC OPERATION; ENHANCED PARTICLE SWARM OPTIMIZATION; HEURISTIC RULES; HYDRO GENERATION; HYDRO PLANTS; HYDRO SYSTEMS; LOGISTIC MAPS; OPTIMAL SCHEDULING; PARTICLE SWARM OPTIMIZATION; RANDOM SEQUENCING; SIMULATION RESULTS; SOLUTION QUALITY; TEST RESULTS;

PARTICLE SWARM OPTIMIZATION (PSO);

EID: 52949085448     PISSN: 01968904     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enconman.2008.06.017     Document Type: Article

References (24)

1. Yang J., and Chen N. Short-term hydrothermal coordination using multipass dynamic programming. IEEE Trans Power Syst 4 3 (1989) 1050-1056
2. Tang J., and Peter B. Hydrothermal scheduling via extended differential dynamic programming and mixed coordination. IEEE Trans Power Syst 10 4 (1995) 2021-2028
3. Piekutowski M. Optimal short-term scheduling for a large-scale cascaded hydro system. IEEE Trans Power Syst 9 2 (1994) 805-811
4. Oliveira G., and Soares S. A second order network flow algorithm for hydrothermal scheduling. IEEE Trans Power Syst 10 3 (1995) 1635-1641
5. Chang G., Aganagic M., and Waight J. Experiences with mixed integer linear programming based approaches on short-term hydro scheduling. IEEE Trans Power Syst 16 4 (2001) 743-749
6. Turgeon A. Optimal short-term hydro scheduling from the principle of progressive optimality. Water Resour Res 17 3 (1981) 481-486
7. Guan X., and Peter B. Nonlinear approximation method in Lagrangian relaxation-based algorithms for hydrothermal scheduling. IEEE Trans Power Syst 10 2 (1995) 772-778
8. Salam M., and Mohamed K. Hydrothermal scheduling based Lagrangian relaxation approach to hydrothermal coordination. IEEE Trans Power Syst 13 1 (1998) 226-235
9. Naresh R., and Sharma J. Two-phase neural network based solution technique for short term hydrothermal scheduling. IEE Proc-Gener Transm Distrib 146 6 (1999) 657-663
10. Orero S., and Irving M. A genetic algorithm modeling framework and solution technique for short term optimal hydrothermal scheduling. IEEE Trans Power Syst 13 2 (1998) 501-518
11. Sinha N., Chakrabarti R., and Chattopadhyay P. Fast evolutionary programming techniques for short-term hydrothermal scheduling. IEEE Trans Power Syst 18 1 (2003) 214-220
12. Yang P., and Yang H. Scheduling short-term hydrothermal generation using evolutionary programming techniques. IEE Proc-Gener Transm Distrib 143 4 (1996) 65-72
13. Yuan X., and Yuan Y. A hybrid chaotic genetic algorithm for short-term hydro system scheduling. Math Comput Simulat 59 (2002) 319-327
14. Huang S. Enhancement of hydroelectric generation scheduling using ant colony system based optimization approaches. IEEE Trans Energy Convers 16 3 (2001) 296-301
15. Bai X., and Shahidehpour S. Hydro-thermal scheduling by tabu search and decomposition method. IEEE Trans Power Syst 11 2 (1996) 968-974
16. Wong K., and Wong Y. Short-term hydrothermal scheduling. Part 1: simulated annealing approach. IEE Proc-Gener Transm Distrib 141 5 (1994) 497-501
17. Yuan X., and Yuan Y. Application of cultural algorithm to generation scheduling of hydrothermal systems. Energy Convers Manage 47 (2006) 2192-2201
18. Yu B., Yuan X., and Wang J. Short-term hydro-thermal scheduling using particle swarm optimization method. Energy Convers Manage 48 7 (2007) 1902-1908
19. Lee T., and Chen C. Unit commitment with probabilistic reserve: an IPSO approach. Energy Convers Manage 48 2 (2007) 486-493
20. Cai J., Ma X., and Li L. Chaotic particle swarm optimization for economic dispatch considering the generator constraints. Energy Convers Manage 48 2 (2007) 645-653
21. Kennedy J, Eberhart R. Particle swarm optimization. In: Proceedings of IEEE conference on neural networks; 1995. p. 1942-8.
22. Leontitsis A., and Kontogiorgos D. Repel the swarm to the optimum. Appl Math Comput 173 (2006) 265-272
23. Caponetto R., and Fortuna L. Chaotic sequences to improve the performance of evolutionary algorithms. IEEE Trans Evolut Comput 7 3 (2003) 289-304
24. Deb K. An efficient constraint handling method for genetic algorithms. Comput Meth Appl Mech Eng 186 (2000) 311-338