考虑发电保证率和破坏深度约束的水电站水库优化调度模型
Optimal Operation Model for Hydropower Reservoirs Considering Probability of Non-Failure and Failure Extent
DOI: 10.12677/JWRR.2013.23024, PDF, HTML,  被引量    国家自然科学基金支持
作者: 武新宇*, 王昱倩, 程春田：大连理工大学水电与水信息研究所；郭有安, 李红刚：华能澜沧江水电集控中心
关键词: 水电站水库；优化调度；随机动态规划；机会约束；破坏深度；Hydropower Reservoir; Optimal Operations; Stochastic Dynamic Programming; Chance Constraint; Failure Extent
摘要: 针对梯级水电站水库调度发电可靠性问题，建立了考虑发电保证率和极限破坏深度的机会约束随机动态规划模型。提出了一种结合拉格朗日松弛法和惩罚函数法的求解算法，通过松弛保证率约束，惩罚最小出力破坏，构建效益函数，并通过以模拟调度结果为依据的松弛乘子和惩罚系数更新实现模型求解。澜沧江中下游梯级水电站水库群的实例研究表明，该方法得到的结果能够在保证发电效益的同时，满足发电保证率要求，并避免出现发电深度破坏，可应用于水电站水库调度实践。
Abstract: For the problem of power generation reliability, a stochastic dynamic programming model considering chance constraint of non-failure and extreme failure extent is proposed for hydropower reservoirs operation. An algorithm incorporating Lagrangian relaxation and penalty function is used to solve the model. The chance constraint is relaxed and the extreme fail constraint is addressed by penalty function, and a new benefit function is constructed. The Lagrangian multiplier and penalty coefficient are renewed on the basis of simulated operation results. The proposed method is used to the cascaded hydropower system of middle and lower Lancang River. Case study shows that the proposed method can meet the requirements of chance constraint of firm power and avoid severe failure, and the power generation benefit is kept also.
文章引用：武新宇, 王昱倩, 程春田, 郭有安, 李红刚. 考虑发电保证率和破坏深度约束的水电站水库优化调度模型[J]. 水资源研究, 2013, 2(3): 165-170. http://dx.doi.org/10.12677/JWRR.2013.23024

参考文献

[1] LUND, J. R. Derived operating rules for reservoirs in series or in parallel. Journal of Water Resources Planning and Management, 1999, 125(3): 143-153.
[2] GUO, X., HU, T., ZENG, X., et al. Extension of parametric rule with the hedging rule for managing multi-reservoir system during droughts. Journal of Water Resources Planning and Management, 2013, 139(2): 139-148
[3] STEINSCHNEIDER, S., BROWN, C. Dynamic reservoir management with real-option risk hedging as a robust adaptation to nonstationary climate. Water Resources Research, 2012, 48(5).
[4] YIN, X. A., YANG, Z. F. and PETTS, G. E. Reservoir operating rules to sustain environmental flows in regulated rivers. Water Resources Research, 2011, 47(8).
[5] STEDINGER, J. R., SULE, B. F. and LOUCKS, D. P. Stochastic dynamic programming models for reservoir operation optimization. Water Resources Research, 1984, 20(11): 1499-1505.
[6] 谭维炎, 刘健民, 黄守信, 等. 应用随机动态规划进行水电站水库的最优调度[J]. 水利学报, 1982, 7: 2-7. TAN Weiyan, LIU Jianmin, HUANG Shouxin, et al. Application of dynamic programming in optimizing the regulation of reservoirs of hydroelectric stations. Journal of Hydraulic Engineering, 1982, 7: 2-7. (in Chinese)
[7] 刘攀, 郭生练, 张文选, 肖义, 高仕春. 梯级水库群联合优化调度函数研究[J]. 水科学进展, 2007, 18(6): 816-822. LIU Pan, GUO Shenglian, ZHANG Wenxuan and GAO Shichun. Derivation of optimal operating rules for cascade reservoirs. Advances in Water Science, 2007, 18(6): 816-822. (in Chi-nese)
[8] 许银山, 梅亚东, 钟壬琳, 杨娜. 大规模混联水库群调度规则研究[J]. 水力发电学报, 2011, 30(2): 20-25. XU Yinshan, MEI Yadong, ZHONG Renlin and YANG Na. Op-erating rules of large-scale multi-reservoir system. Journal of Hydraulic Engineering, 2007, 18(6): 816-822. (in Chinese)
[9] KELMAN, J., STEDINGER, J. R., COOPER, L. A., HSU, E., et al. Sampling stochasic dynamic programming applied to reservoir operation. Water Resources Research, 1990, 26(3): 447- 454.
[10] 李勋贵, 魏霞, 黄强, 倪雄. 改进的多层次优化算法在水库群优化调度中的应用[J]. 水力发电学报, 2007, 26(6): 1-10+11. LI Xungui, WEI Xia, HUANG Qiang and NI Xiong. Application of improved multistage optimization method for optimal reservoirs operation of cascade hydropower stations, Journal of Hydraulelectric Engineering, 2007, 26(6): 1-10+11. (in Chi-nese)
[11] EUM, H. I., KIM, Y. O. and PALMER, R. N. Optimal drought management using sampling stochastic dynamic programming with a hedging rule. Journal of Water Resources Planning and Management, 2011, 137(1): 113-122.
[12] 纪昌明, 李克飞, 张验科, 赵璧奎. 基于机会约束的水库调度随机多目标决策模型[J]. 电力系统保护与控制, 2012, 40(19): 36-40. JI Changming, LI Kefei, ZHANG Yanke and ZHAO Bikui. Sto-chastic multi-objective decision-making model of the reservoir operation based on chance-constrained programming. Power System Protection and Control, 2012, 40(19): 36-40. (in Chi-nese)
[13] ASKEW, A. J. Chance constrained dynamic programina and the optimization of water resource systems. Water Resources Research, 1974, 10(6): 1099-1106.
[14] ROSSMAN, L. A. Reliability constrained dynamic programing and randomized release rules in reservoir management. Water Resources Research, 1977, 13(2): 247-255.
[15] SNIEDOVICH, M. Reliability constrained reservoir control problems 1. Methodological issues. Water Resources Research, 1979, 15(6): 1574-1582.