Chaotic Optimal Operation of Hydropower Station with Ecology Consideration

Xianfeng Huang, Guohua Fang, Yuqin Gao, Qianjin Dong

.

DOI: 10.4236/epe.2010.23027                

Abstract

Traditional optimal operation of hydropower station usually has two problems. One is that the optimal algorithm hasn’t high efficiency, and the other is that the optimal operation model pays little attention to ecology. And with the development of electric power market, the generated benefit is concerned instead of generated energy. Based on the analysis of time-varying electricity price policy, an optimal operation model of hydropower station reservoir with ecology consideration is established. 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 eco-environment demand as the objectives, and reservoir water quantity balance, reservoir storage capacity, reservoir discharge flow and hydropower station output and nonnegative variable as the constraints. To solve the optimal model, a chaotic optimization genetic algorithm which combines the ergodicity of chaos and the inversion property of genetic algorithm is exploited. An example is given, which shows that the proposed model and algorithm are scientific and feasible to deal with the optimal operation of hydropower station.

Keywords

Hydropower Station Operation, Ecology, Chaotic Genetic Optimization Algorithm, Time-Varying Electricity Price

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]	J. D. C. Little, “The Use of Storage Water in a Hydroelectric System,” Operational Research, Vol. 3, No. 2, March 1955, pp. 187-197.
[2]	Y. C. Zhang, F. S. Li, Y. F. Du, Y. F. Huang and S. Y. Xiong, “The Optimization of Hydropower Station Reservoir Dispatching,” in Chinese, Journal of Huazhong University of Science and Technology, Vol. 9, No. 6, December 1981, pp. 49-56.
[3]	W. Y. Tan, S. X. Huang, J. M. Liu and S. X. Fang, “Application of Dynamic Programming in Optimizing the Regulation of Reservoirs of Hydroelectric Stations,” in Chinese, Journal of Hydraulic Engineering, Vol. 13, No. 135, July 1982, pp. 1-7.
[4]	Q. Huang and Z. Q. Yan, “A Discussion on Methods of Long-Term Optimal Operation of Hydropower Stations Reservoir,” in Chinese, Journal of Hydro Electric Power, Vol. 3, No. 3, March 1987, pp. 1-7.
[5]	G. W. Ma, “Study on Stochastic Optimum Problems for Multireservoir Hydroelectric Systems,” in Chinese, Jour- nal of Xi’an University of Technology, Vol. 7, No. 4, December 1988, pp. 65-74.
[6]	D. G. Shao, X. Y. Song, J. Xia and Z. Q. Sun, “Research on Real-Time Optimal Flood Dispatching Model for Yanghe Reservoir,” in Chinese, Advances in Water Science, Vol. 10, No. 2, February 1999, pp. 135-139.
[7]	J. Wan and H. Y. Chen, “A Study on Optimal Operation of Hydropower Group by Combined Model of Decomposition Coordination and Aggregation-Decomposition of Large System,” in Chinese, Journal of Hydroelectric Engineering, Vol. 15, No. 2, February 1996, pp. 41-50.
[8]	S. Y. Chen and H. C. Zhou, “Fuzzy Optimal Decision Theory and Model of the Multistage and Multiobjective System,” in Chinese, Water Resources and Power, Vol. 9, No. 1, January 1991, pp. 9-17.
[9]	W. Robin and S. Mohd, “Evaluation of Genetic Algorithms for Optimal Reservior Resources,” Journal of Water Resource Planning and Management, Vol. 125, No. 1, January 1999, pp. 25-33.
[10]	G. W. Ma and L. Wang, “Application of a Genetic Algorithm to Optimal Operation of Hydropower Station,” in Chinese, Advances in Water Science, Vol. 8, No. 3, March 1997, pp. 275-280.
[11]	T. S. Hu, Y. H. Wan and S. Y. Feng, “Research on the Artificial Neural Network Methodology for Multi-Reservoir Operating Rules,” in Chinese, Advances in Water Science, Vol. 6, No. 1, January 1991, pp. 9-17.
[12]	S. H. Zhang, Q. Huang, H. S. Wu and J. X. Yang, “A Modified Particle Swarm Optimizer for Optimal Operation of Hydropower Station,” in Chinese, Journal of Hydroelectric Engineering, Vol. 26, No. 1, January 1996, pp. 41-50.
[13]	G. Xu and G. W. Ma, “Optimal Operation of Cascade Hydropower Stations Based on Ant Colony Algorithm,” in Chinese, Journal of Hydroelectric Engineering, Vol. 24, No. 5, May 1991, pp. 9-17.
[14]	L. S. Suo, “Water Conservancy’s ‘Special Features’— The New Ideas about the Water Conservancy Construction,” in Chinese, China Water Resources, Vol. 38, No. 1, January 2003, pp. 25-26.
[15]	Z. R. Dong, D. Y. Sun and J. Y. Zhao, “Multi-Objective Ecological Operation of Reservoirs,” in Chinese, Water Resources and Hydropower Engineering, Vol. 38, No. 1, 2007, pp. 28-32.
[16]	G. W. Ma, L. Wang and X. M. Guo, “A Optimal Operation Model for Multiple Reservoir Power with Time- Varying Electricity Price,” in Chinese, Advances in Water Science, Vol. 13, No. 5, May 2002, pp. 583-587.
[17]	H. P. Hu, D. F. Liu and F. Q. Tian, “A Method of Ecological Reservoir Reoperation Based-on Ecological Flow Regime,” in Chinese, Advances in Water Science, Vol. 19, No. 3, 2008, pp. 325-332.
[18]	W. G. Yu, Z. Q. Xia and G. R. Yu, “Analysis of Ecological Ideas and Measures in Reservoir Scheduling,” in Chinese, Journal of Shangqiu Teachers College, Vol. 22, No. 5, 2006, pp. 148-151.
[19]	E. N. Lorenz, “Deterministic Non-Periodic Flow,” Journal of Atomsphere Science, Vol. 20, No. 2, June 1963, pp. 130-141.
[20]	B. Li and W. S. Jiang, “Chaos Optimization Method and its Application,” in Chinese, Control Theory and Applications, Vol. 14, No. 4, April 1997, pp. 613-615.
[21]	L. Qiu, J. H. Tian, C. Q. Duan, X. N. Chen and Q. Huang, “The Application of Chaos Optimization Algorithm in Reservoir Optimal Operation,” in Chinese, China Rural Water and Hydropower, Vol. 30, No. 7, July 2005, pp. 17-19.
[22]	W. Liang, S. L. Chen, C. Y. He, D. Y. Liu and J. Rui, “Optimal Operation of Cascaded Hydropower Stations Based on Chaos Optimal Algorithm,” in Chinese, Water Resources and Power, Vol. 26, No. 1, January 2008, pp. 63-66.