A Novel Solution Based on Differential Evolution for Short-Term Combined Economic Emission Hydrothermal Scheduling
Chengfu Sun, Songfeng Lu
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DOI: 10.4236/eng.2009.11007   PDF    HTML     7,553 Downloads   11,734 Views   Citations

Abstract

This paper presents a novel approach based on differential evolution for short-term combined economic emission hydrothermal scheduling, which is formulated as a bi-objective problem: 1) minimizing fuel cost and 2) minimizing emission cost. A penalty factor approach is employed to convert the bi-objective problem into a single objective one. In the proposed approach, heuristic rules are proposed to handle water dynamic balance constraints and heuristic strategies based on priority list are employed to repair active power balance constraints violations. A feasibility-based selection technique is also devised to handle the reservoir storage volumes constraints. The feasibility and effectiveness of the proposed approach are demonstrated and the test results are compared with those of other methods reported in the literature. Numerical experiments show that the proposed method can obtain better-quality solutions with higher precision than any other optimization methods. Hence, the proposed method can well be extended for solving the large-scale hydrothermal sched-uling.

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C. Sun and S. Lu, "A Novel Solution Based on Differential Evolution for Short-Term Combined Economic Emission Hydrothermal Scheduling," Engineering, Vol. 1 No. 1, 2009, pp. 46-54. doi: 10.4236/eng.2009.11007.

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1] J. Tang and B. Peter, “Hydrothermal scheduling via extended differential dynamic programming and mixed coordination,” IEEE Transactions on Power System, Vol. 10, pp. 2021-2028, 1995.
[2] M. Piekutowski, “Optimal short-term scheduling for a large-scale cascaded hydro system,” IEEE Transactions on Power System, Vol. 9, pp. 805-811, 1994.
[3] M. V. F. Pereira and L. M. V. G. Pinto, “A decomposition approach to the economic dispatch of the hydrothermal systems,” IEEE Transactions on Power Systems, Vol. 101, pp. 3851-3860, 1982.
[4] M. Ramirez and P. E. Ontae, “The short-term hydrothermal coordination via genetic algorithms,” Electric Power Components and Systems, Vol. 34, pp. 1-19, 2006.
[5] E. Gil, J. Bustos, and H. Rudnick, “Short-term hydrothermal generation scheduling model using a genetic algorithm,” IEEE Transactions on Power System, Vol. 18, pp. 1256-1264, 2003.
[6] X. Yuan and Y. Yuan, “A hybrid chaotic genetic algorithm for short-term hydro system scheduling,” Mathematics and Computers in Simulation, Vol. 59, pp. 319-327, 2002.
[7] X. Yuan and Y. Yuan, “Application of cultural algorithm to generation scheduling of hydrothermal systems,” Energy Conversion and Management, Vol. 47, pp. 2192- 2201, 2006.
[8] B. Yu, X. Yuan, and J. Wang, “Short-term hydro-thermal scheduling using particle swarm optimization method,” Energy Conversion and Management, Vol. 48, pp. 1902- 1908, 2007.
[9] J. S. Dhillon and D.P. Kothari, “Multi-objective short- term hydrothermal scheduling based on heuristic search technique,” Asian Journal of Information Technology, Vol. 6, pp. 447-454, 2007.
[10] M. Basu, “An interactive fuzzy satisfying method based on evolutionary programming technique for multi-objective short-term hydrothermal scheduling,” Electric Power Systems Research, Vol. 69, pp. 277-285, 2004.
[11] J. S. Dhillon, S. C. Parti, and D. P. Kothari, “Fuzzy decision-making in stochastic multi-objective short-term hydrothermal scheduling,” IEE Proceedings of Generation Transmission and Distribution, Vol. 149, pp. 191-200, 2002.
[12] K. K. Mandal and N. Chakraborty, “Short-term combined economic emission scheduling of hydrothermal power systems with cascaded reservoirs using differential evolution,” Energy Conversion and Management, Vol. 50, pp. 97-104, 2009.
[13] R. Storn and K. Price, “Differential evolution–a simple and efficient heuristic for global optimization over continuous spaces,” Journal of Global Optimization, Vol. 11, pp. 341-359, 1997.
[14] X. H. Yuan, L. Wang, Y. C. Zhang, and Y. B. Yuan, “A hybrid differential evolution method for dynamic economic dispatch with valve-point effects,” Expert System with Application, Vol. 36, pp. 4042-4048, 2009.
[15] X. H. Yuan, B. Cao, B. Yang, and Y. B. Yuan. “Hydrothermal scheduling using chaotic hybrid differential evolution”, Energy Conversion and Management, Vol. 49, pp. 3627-3633, 2008.
[16] S. K. Wang, J. P. Chiou, and C. W. Liu, “Non-smooth/ non-convex economic dispatch by a novel hybrid differential evolution algorithm,” IEE Proceeding Generation Transmission and Distribution, Vol. 1, pp. 793-803, 2007.
[17] C. F. Changa, J. J. Wong, J. P. Chiou, and C. T. Su, “Robust searching hybrid differential evolution method for optimal reactive power planning in large-scale distribution sytems,” Electric Power Systems Research, Vol. 77, pp. 430-437, 2007.
[18] J. P. Chiou, “Variable scaling hybrid differential evolution for large-scale economic dispatch problems,” Electric Power Systems Research, Vol. 77, pp. 212-218, 2007.

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