Optimal Operation of Multi-Objective Hydropower Reservoir with Ecology Consideration

Xuewen Wu, Xianfeng Huang, Guohua Fang, Fei Kong

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DOI: 10.4236/jwarp.2011.312100                

Abstract

Aiming at the problem that traditional optimal operation of hydropower reservoir pays little attention to ecology, an optimal operation model of multi-objective hydropower reservoir with ecology consideration is established which combines the ecology and power generation. The model takes the maximum annual power generation benefit, the maximum output of the minimal output stage in the year and the minimum shortage of ecological water demand as objectives, and water quantity balance of reservoir, reservoir storage, discharge flow, output and so on as constraints. Chaotic genetic arithmetic is developed to solve the optimal model. An example is studied, showing that the annual generation of the proposed model is 8 million kW?h less than that model without ecology consideration, which is about 0.28 percent. But the proposed model is in favor of river ecology protection, and can promote the sustainable utilization of water resources. So it is worthy and necessary for the optimal operation of hydropower reservoir with ecology consideration.

Keywords

Hydropower Station Reservoir, Optimal Operation, Chaotic Genetic Algorithm, Ecology

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]	A. Czvallo and M. Di Natale, “A Fuzzy Control Strategy for the Regulation of an Artificial,” Sustainable World, Sustainable Planning and Development, Vol. 6, 2003, pp. 629-639.
[2]	B. J. Lence, M. I. Latheef and D. H. Burn, “Reservoir Management and Thermal Power Generation,” Journal of Water Resources Planning and Management, Vol. 118, No. 4, 1992, pp. 387-405. doi:10.1061/(ASCE)0733-9496(1992)118:4(388)
[3]	Q. H. Cai, “Taking Eco-System Protection into Fully Consideration and Improving Reservoir Regulation Proc- ess,” China Water Resources, Vol. 2, 2006, pp. 14-17.
[4]	Z. J. Yin, W. Huang and J. Chen, “On Management Sys- tem of Ecological Regulation of Cascade Reservoirs in the Yangtze Basin,” Yangtze River, Vol. 39, No. 20, 2008, pp. 15-17.
[5]	Z. R. Dong, D. Y. Sun and J. Y. Zhao, “Multi-Objective Ecological Operation of Reservoirs,” Water Resources and Hydropower Engineering, Vol. 38, No. 1, 2007, pp. 28-32.
[6]	L. Liu, Z. C. Dong and G. B. Cui, “The Lowest Ecologi- cal Water Demand to Prevent the River Sediment Accu- mulation,” Journal of Lake Science, Vol. 38, No. 1, 2007, pp. 28-32.
[7]	Z. F. Yang, J. L. Liu, T. Sun, et al., “Rules of Eco-Envi- ronment Water Demand in a Drainage Basin,” Science Press, Beijing, 2006.
[8]	H. P. Hu, D. F. Liu, F. Q. Tian and G. H. Ni, “A Method of Ecological Reservoir Reoperation Based-on Ecological Flow Regime,” Advances in Water Science, Vol. 19, No. 3, 2008, pp. 325-332.
[9]	W. G. Yu, Z. Q. Xia, G. R. Yu and Y. P. Cai, “Analysis of Ecological Ideas and Measures in Reservoir Schedul- ing,” Journal of Shangqiu Teachers College, Vol. 22, No. 5, 2006, pp. 148-151.
[10]	Z. F. Yang, B. S. Cui, J. L. Liu, et al., “Eco-Environment Water Demand: Theories Methods and Practices,” Science Press, Beijing, 2003.
[11]	J. D. C. Little, “The Use of Storage Water in a Hydroe- lectric System,” Operational Research, Vol. 3, No. 2, 1955, pp. 187-197. doi:10.1287/opre.3.2.187
[12]	J. A. Ahmed and A. K. Sarma, “Genetic Algorithm for Op- timal Operating Policy of a Multipurpose Reservoir,” Water Resources Management, Vol. 19, No. 2, 2005 pp. 145-161. doi:10.1007/s11269-005-2704-7
[13]	G. W. Ma and L. Wang, “Application of a Genetic Algo- rithm to Optimal Operation of Hydropower Station,” Ad- vances in Water Science, Vol. 8, No. 3, 1997, pp. 275- 280.
[14]	C. M. Ji, Y. Q. Wu and Y. K. Zhang, “Optimal Schedul- ing of Hydroelectric Station Based on Chaotic Particle Swarm Optimization,” Journal of North China Electric Power University (Natural Science Edition), Vol. 35, No. 6, 2008, pp. 103-107.
[15]	L. Qiu, J. H. Tian, C. Q. Duan, et al., “The Application of Chaos-Optimization Algorithm in Reservoir Optimal Op- eration,” China Rural Water and Hydropower, Vol. 30, No. 7, 2005, pp. 17-19.
[16]	W. C. Wang, C. T. Cheng and D. M. Xu, “The Optimal Operation Model Based on Chaos Genetic Algorithm for Hydropower Station and Its Application,” Journal of Hydroelectric Engineering, Vol. 26, No. 6, 2006, pp. 7-11.