乌江梯级七库中长期发电优化调度研究
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摘要
乌江流域水力资源丰富,是我国十二大水电基地之一,乌江干流现已规划形成上下游共11座水库的梯级联合开发的水电站联合运行模式。梯级水库群的联合调度是未来水库调度的发展趋势,它能够有效缓解我国经济发展与能源需求之间的矛盾。本论文以乌江水电开发公司负责管理的七座水库:洪家渡、东风、索风营、乌江渡、构皮滩、思林、沙沱为研究对象,通过对梯级水库群优化调度数学模型的建立和求解,研究和探讨了乌江梯级水库群联合优化调度的规则,使水库调度理论与生产实际紧密结合,为水电站的实际运行提供参考。本论文的研究内容及取得的研究成果主要包括以下几个方面:
     (1)根据乌江流域水库群生产实际情况,结合梯级水库群联合优化调度的理论,建立了乌江梯级水库群发电量最大模型和兼顾保证出力的发电量最大模型,并运用DPSA-POA混合算法、大系统分解协调算法和加速遗传算法对两个模型进行求解。
     (2)通过运用发电量最大模型,根据乌江流域水库群1951年5月~2007年4月的历史长系列径流资料,采用DPSA-POA混合算法进行求解,得到乌江梯级水库群长系列优化调度的调节计算结果,并进行了合理性分析,表明该模型可用于指导水库调度。
     (3)根据2009年乌江梯级水库群基本资料,对发电量最大模型和兼顾保证出力的发电量最大模型进行调节计算,制定了2009年乌江梯级水库群优化调度方案,该方案与乌江公司的建议发电计划相比,可以显著增加发电效益。
     (4)结合多目标决策理论,分析发电量与蓄能量之间关系,建立了洪家渡、构皮滩水库的年末消落水位多目标预测模型;运用乌江梯级长系列优化调度结果,采用逐步回归方法研究多年调节水库的年末消落水位规律,建立了基于统计规律的多年调节水库年末消落水位预测模型。通过对两种模型的长系列模拟调度的检验,表明两种模型是合理、可行的。
     (5)通过对水电站调度规则的理论研究,结合乌江梯级水库群长系列优化调度结果,运用逐步回归方法,分别制定了乌江梯级七座水库的优化调度函数,通过长系列的模拟调度计算,结果表明制定的调度规则是可靠的、合理的。
Wujiang river basin has rich hydropower resources, which is one of the twelve large hydropower bases. The eleven reservoirs of combined operating model has been formed in Wujiang river basin. The combined operating of cascade reservoirs is the trend of reservoir operation, which can relieve the conflict between economy development and energy demand of the state. The paper is studied on the seven reservoirs:HongJiadu, Dongfeng, SuoFengyin, WuJiangdu, GouPitan, Silin and Shatuo. The combined optimization operation rules of Wujiang cascade reservoirs have been researched by establishing cascade reservoirs optimal operation model. The rules can be applied in the real operation of the hydropower station. The main research content and results are as follows:
     (1) According to the actual situation of Wujiang cascade reservoirs, combined with the theory of cascade reservoirs combined optimal operation, the maximizing energy output and maximizing energy guaranteed output models have been established. And the algorithms of DPSA-POA, LSSDC and Genetic Algorithm are applied to solve the models.
     (2) According to the long series runoff data (1951.02-2007.04) of Wujiang cascade reservoirs. The long series cascade optimal operation results has been gotten by using maximizing energy output model and the DPSA-POA algorithm to solve it. Through analysis of the long series results, the universal rules of cascade reservoirs optimal operation have been proposed which is "upstream supplys first, downstream stores first"
     (3) According to the basical data of 2009 provided by the Wujiang company, the optimal scheme of Wujiang cascade reservoirs of 2009 have been made by the two models above. The comparing results indicates that:the scheme made by the models are better than the advised scheme. The models results can improve cascade energy output.
     (4) Combined the multi-objedtive decision theory, and analyzing the relation between energy output and storage, the year-end waterlevel multi-objedtive forecast model of HongJiadu and GouPitan have been proposed. According to the long series optimal operaton results, the year-end waterlevel forecast model of HongJiadu and GouPitan based on statistical law have been established used by the stepwise regression. The long series simulating operation of the two models have been made. The test results show that the annual average enery output has been improved and the two models are reasonable and feasible.
     (5) Through the theoretical research of hydropower station operation rules, and combined the long series operating results and stepwise regression method, the optimal operation functions of the Wujiang cascade reservoirs have been made separately. And the long series simulating operation results indicate that the functions are reliable and reasonable.
引文
[1]2009-2012 年中国水电行业投资分析及前景预测报告http://www. ocn.com.cn/reports/2006062shuidian. htm.
    [2]潘理中,苗孝芳.水电站水库优化调度研究的若干进展[J].水文,1999,6:37-40.
    [3]Little, J.D.C. The use of storage water in a hydroelectric system [J]. Operational Research.1955(3): 187-197.
    [4]Gassford J., and S. Karlin. Optimal policy for hydroelectric operations,in studies in the mathematical Theory of inventory and Production[D].Cailf.,Stamford University,1958:179-200.
    [5]Askew A. J., Optimum reservoir operation policies and the imposition of reliability constraint[J]. Water Resour.Res.,1974,10(6):1099-1106.
    [6]Rossman A.L., Reliability constraint dynamic programming and randomized release rules in reservoir management[J]. Water Resour.Res.,1977,13(2):247-255.
    [7]Buther W.S. Stochastic dynamic programming for optimum reservoir operation[J].Water Resour.Bull.,1971,7(1):115-123.
    [8]赵鸣雁,程春田,李刚.水库群系统优化调度新进展[J].水文,2005,25(6):18-23,61.
    [9]Hall, W. A. and Shephard, R. W. Optimum Operation for planning of a complex water resources system [D]. Technology Rep. Water Resour. Cent. Sch. of Eng. And Appl. Sci., Univ. of Calif., LosAngeles, October 1967.
    [10]Ahmed I., On the determination of multireservoir operation policy under uncertainty[D].Tucson Arizona:The university of Arizona,2001.
    [11]Foufoula E., and Kitanidis P K., Gradient dynamic programming for stochastic optimal control of multi-dimensional water resources systems [J]. Water Resour.Res.,1988,24(8):1345-1359.
    [12]Karamouz M., Vasiliadis H.V., Bayesian stochastic optimization of reservoir operating using uncertain forecast[J]. Water Resour.Res.,1992,28(5):1221-1232.
    [13]Admas, Ponnambalam.Stochastic Optimization of Multi Reservoir Systems Using a Heuristic Algorithm:Case Study From India [J].Water Resour.Res.,1996,.32(3):733-741.
    [14]T. W. Archibald,K. I. M. McKinnon,L. C. Thomas. An Aggregate Stochastic Dynamic Programming Model of Multireservoir Systems [J].Water Resour.Res.,1997,.33(2),333-340.
    [15]Young-OhKim,Hyung-IlEum,Eun-GooLee,IckHwanKo.Optimizing Operational Policies of a Korean Multireservoir System Using Sampling Stochastic Dynamic Programming With Ensemble Stream flow Prediction [J]. WATER RESOURCES PLANNING AND MANAGEMENT,2007,133(1):4-14.
    [16]谭维炎,黄守信等.应用随机动态规划进行水电站水库的优化调度[J].水利学报,1982,(7):1-7.
    [17]张勇传,熊斯毅等.柘溪水电站水库优化调度.优化理论在水库调度中的应用[M].长沙:湖南科学技术出版社,1985,1-4.
    [18]施熙灿,林翔岳等.考虑保证率约束的马氏决策规划在水库优化调度中的应用[J].水力发电学报,1982,(2):11-21.
    [19]李爱玲.梯级水电站水库群兴利随机优化调度数学模型与方法研究[J].水利学报,1998,(5):71-74.
    [20]王金文,王仁权,张勇传等.逐次逼近随机动态规划及库群优化调度研究[J].人民长江,2002,33(11):45-47.
    [21]Chang FC, Hui SC. and Chen YC. Reservoir operation using grey fuzzy stochastic dynamic programming[J].Hydrol.Process,2002,16(12):2395-2480.
    [22]任德记,陈洋波.水库群隐随机优化调度最优决策规律研究[J].水力发电,2002,1:57-61.
    [23]刘涵.水库优化调度新方法研究[D].西安,西安理工大学,2006:45-80.
    [24]李钰心.水资源系统运行调度[M].北京:中国水利水电出版社,1996:86-157.
    [25]张玉新,冯尚友.多维决策的多目标动态规划及其应用[J].水利学报,1986,(7):1-10.
    [26]张玉新,冯尚友.多目标动态规划逐次迭算法[J].武汉水利电力学院学报,1988,(6):73-81.
    [27]Jacobsen H.,and Mayne Q., Differential dynamic programming[M]. New York, Elsevier,1970.
    [28]Larson R.,State increment dynamic programming[M]. New York, Elsevier,1968.
    [29]Hiedari M.,Chow V.,etc. Discrete differential dynamic programming approach to water resources systems optimization[J]. Water Resour.Res.,1971,7(2):273-282.
    [30]Turgeon A.,Optimal short-term hydro scheduling from the principle of progressive optimality[J], Water Resour.Res.,1981,17(3):481-486.
    [31]徐慧,欣金彪等.淮河流域大型水库联合优化调度的动态规划模型[J].水文,2000,20(1):22-25.
    [32]毛睿,黄刘生,徐大杰.淮河中上游库群联合优化调度算法及并行实现[J].小型微型计算机系统,2000,21(6):603-607.
    [33]Yeh,W.W.-G.,Reservoir management and operations models:a state-of-the-art review[J],Water Resour.Res.,1985,21(12):1979-1818.
    [34]D.NageshKumar andM.JangaReddy, Multipurpose Reservoir Operation Using Particle Swarm Optimization[J], WATER RESOURCES PLANNING AND MANAGEMENT,2007,133(3):192-201.
    [35]Raheleh A, Seyed J M, Abbas G. Reliability-based simulation optimization model for multi-reservoir hydropower systems operations:khersan experience[J]. Journal of Water Resources Planning and Management,2008,134(1):24-33.
    [36]张勇传等.水电站水库群优化调度方法的研究[J].水力发电,1981,(11):48-52.
    [37]叶秉如等.水电站库群的年最优调度.优化理论在水库调度中的应用[M].长沙:湖南科学技术出版社,1985:65-73.
    [38]黄守信,方淑秀等.两个无水力联系水库的优化调度.优化理论在水库调度中的应用[M].长沙:湖南科学技术出版社,1985:85-89.
    [39]鲁子林.水库群调度网络分析法[J].华东水利学院学报,1983,11(4):35-48.
    [40]张勇传,邮凤山等.水库优化调度的模糊数学方法.优化理论在水库调度中的应用.长沙:湖南科学技术出版社,1985.130-140.
    [41]董子敖等.计入径流时间空间相关关系的梯级水库群优化调度的多层次法[J].水电能源科学,1987,5(1):29-40.
    [42]黄强,沈晋.黄河干流水库调度及智能决策支持系统[M]西安:陕西科学技术出版社,1996:49-63.
    [43]胡振鹏,冯尚友.大系统多目标递阶分析“分解-聚合”方法[J].系统工程学报,1988,(1)
    [44]胡铁松.神经网络与水文水资源——水文预报与水库调度的神经网络理论与应用研究[D].成都:成都科技大学土木水利博士后流动站.1995.
    [45]马光文,王黎.遗传算法在水电站优化调度中的应用[J].水科学进展,1997,8(3):257-280.
    [46]解建仓,索丽生,谈为雄.水电站水库调度规则校正问题的探讨[J].西安理工大学学报,1996,12(3):226-231.
    [47]周晓阳,马寅午,张勇传.梯级水库的参数辨识型优化调度方法——最优调度函数的确定[J].水利学报,1999,9:1-19.
    [48]Chang FJ,Hui SC,Chen YC. Reservoir operation using grey fuzzy stochastic dynamic programming[J].Hydrological Process,2002,16(12):2395-2408.
    [49]周晓阳,张勇传,马寅午.水库系统的辨识型优化调度方法[J].水力发电学报,2000,(2):74-86.
    [50]王敬.综合利用水库优化调度模型研究[J].郑州工业大学学报,2001,(3):71-73.1
    [51]胡明罡.基于遗传算法的梯级水库调度问题的研究[J].济南大学学报(自然科学版),2003,17(4):344-346.
    [52]张双虎,黄强,孙廷容.基于并行组合模拟退火算法的水电站优化调度研究[J].水力发电学报,2004,23(4):16-19.
    [53]徐刚,马光文等.蚁群算法在水库优化调度中的应用[J].水科学进展,2005,16(3):397-400.
    [54]武新宇.不确定环境下水电系统多维优化理论和应用[D].大连:大连理工大学,2006,86-93.
    [55]左幸,马光文,刘高明.三角旋回算法及其在水库优化调度中的应用[J].水力发电,2006,32(12):20-22.
    [56]马跃先,原文林,王利卿,吴昊.水库优化调度的最小弃水模型研究[J].中国农村水利水电,2006,3:22-24.
    [57]原文林,黄强,王义民等.最小弃水模型在梯级水库优化调度中的应用[J].水力发电学报.2008,27(3):16-21.
    [58]张铭,丁毅,袁晓辉,李承军.梯级水电站水库群联合发电优化调度[J].华中科技大学学报(自然科学版),2006,34(6):90-92.
    [59]王少波,解建仓,孔珂.自适应遗传算法在水库优化调度中的应用[J].水利学报,2006,37(4):58-62.
    [60]艾学山,冉本银.FS-DDDP方法及其在水库群优化调度中的应用[J].水电自动化与大坝检测,2007,(31)1:13-16.
    [61]杨俊杰,周建中,方仍存,钟建伟MOPSO算法及其在水库优化调度中的应用[J].计算机工程,2007,(33)18:249-264.
    [62]王志良,潘文学.混沌蚁群算法在水库优化调度中的应用[J].水利与建筑工程学报,2007,5(4):31-34.
    [63]刘攀,郭生练,雒征,刘心愿.求解水库优化调度问题的动态规划-遗传算法[J].武汉大学学报(工学版),2007,40(5):1-6.
    [64]周慕逊.自适应粒子群算法在水库优化调度中的应用研究[J].台州学院学报,2007,29(3):44-48.
    [65]Sh. Momtahen and A. B. Dariane. Direct Search Approaches Using Genetic Algorithms for Optimization of Water Reservoir Operating Policies [J]. WATER RESOURCES PLANNING AND MANAGEMENT,2007,133 (3):202-209.
    [66]田毛.乌江流域梯级水电站水库调度手册[R].贵州:贵州乌江水电开发有限责任公司水电站远程集控中心,2005.
    [67]田嘉宁,王增发,黄强.多年调节水库年末消落水位控制规则研究[J].西安理工大学学报,1999,15(1):71-74.
    [68]杨宗泽,王淑娟.多年调节水库年末水位研究[J].西北水力发电,2004,20(3):28-30.
    [69]张雯怡,黄强,陈晓楠.基于SRA-GP的水库年末水位预测模型[J].水力发电,2006,32(1):16-18.
    [70]邹进,何士华.确定梯级水库中多年调节水库年末消落水位的模糊多目标决策法[J].水利水运工程学报,2006,(2):18-23.
    [71]过夏明,陈建春,马光文.分时电价下多年调节水库年末消落水位研究[J].水力发电学报,2004,23(3):27-30.
    [72]何俊仕,林洪孝.水资源规划及利用[M].北京:中国水利水电出版社,2006:191-193.
    [73]Neelakantan T R, PUNDARIKANTHAN N V. Hedging rule optimization of water supply of reservoirs system [J]. Water Resources Management,1999,13 (6):109-426.
    [74]KARAMOUZ M, ARAGHINEJAD S. Drought mitigation through long-term operation of reservoirs:Case Study[J]. Journal of Irrigation and Drainage Engineering, 2008,134(4):471-478.
    [75]黄强.水能利用(第一版)[M].西安:中国水利水电出版社,1981.
    [76]叶秉如.水利计算[M].水利电力出版社,1985.
    [77]叶守泽.水文水力计算[M].中国水利水电出版社,1992.
    [78]MASS A, HUFSCHMIDT M M, DORFMAN R, et al. Design of water resource system [M]. Cambridge, Mass:Harvard University Press,1962.
    [79]LOUCKS D P, STEDINGER J R, HAITH D A. Water resouce systems planning and analysis[M]. Prentice-Hall, Englewood Cliffs, N. J.1981.
    [80]STEDINGER J R, The performance of LDR models for preliminary design and reservoir operation [J]. Water Resources Research,1984,20(2):215-224.
    [81]HASHIMOTO T, STEDINGER J R, LOUCKS D P. Reliability, resiliency, and vulnerability sriteria for water-resource system performance evaluation[J]. Water Resources Management,1982,18(1):14-20.
    [82]OLIVEIRA R, LOCKS D P. Operation rules for multireservoir system [J]. Water Resources Research,1997,33 (4):839-852.
    [83]CHANG F-J, CHENL, CHANG L-C. Optimizing the reservoir operating rule curvess by genetic algorithms[J]. Hydrological Process,2005, (19):2277-2289.
    [84]ILICH N, SIMONOVIC S P, AMRON M. The benefits of computerized real-time river basin management in the malahayu reservoir system [J]. Canadian Journal of Civil Enjineering, 2000,27(1):55-64.
    [85]CHEN L, MCPHEE J, YEH W W G. A diversified multiobjective GA for optimizing reservoir rule curves[J]. Advances in Water Resources,2007,30(5):1082-1093.
    [86]KIM T, HEO J H, BAE D H, et al. Single-reservoir operating rules ofr a year using multiobjective genetic algorithm [J]. Journal of Hydroinformatics,2008,10(2):163-179.
    [87]裘杏莲,汪同庆,戴国瑞等.调度函数与分区控制规则相结合的优化调度模式研究[J].武汉水利电力大学学报,1994,27(4):382-387.
    [88]CONSOLI S, MATARAZZO B, PAPPLARDO N. Operating rules of an irrifation purposes reservoir using multi-objective optimization[J]. Water Resources Management, 2008,22(5):551-564.
    [89]黄永皓,张勇传.微分动态规划及回归分析在水库群优化调度中的应用[J].水电能源科学,1986,4(4):315-322.
    [90]陈洋波,陈惠源.水电站库群隐随机优化调度函数探讨[J].水电能源科学,1980,8(3):216-223.
    [91]万俊,陈惠源。水电站群优化调度分解协调—聚合分解符合模型研究[J].水利发电学报,1996,2:41-50.
    [92]JAY R L. Derived Power Production and Energy Drawdown Rules for Reservoirs [J]. Journal of Water Resources Planning and Management,200,126(2):108-114.
    [93]HADDAD O B, AFSHAR A, MARINO MA A. Honey-bee mating optimization(HBMO) algorithm in deriving optimal operation rules for reservoirs[J]. Journal of Hydroinformatics, 2008,10(3):257-264.

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