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基于随机动态规划的水库生态优化调度研究 被引量:2

Research on Ecological Optimization Scheduling of Reservoir Based on Stochastic Dynamic Programming
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摘要 水库中长期生态调度需要考虑天然入库径流的不确定性。首先描述径流的随机过程,接着以修正全年流量偏差(AAPFD)最小为目标函数,建立AAPFD最小且考虑发电量的水库中长期随机生态调度数学模型,并采用随机动态规划进行求解。实例计算表明,水库中长期生态随机调度模型与确定性调度模型相比,随机调度水位变化更平缓,更有利于保证水库生态流量,提高生态效益。 The mid-long term ecological dispatching of reservoirs needs to consider the uncertainty of natural inflow runoff.Firstly,the stochastic process of runoff is described.Then,the minimum Amended Annual Proportional Flow Deviation(AAPFD)is used as the objective function to establish the mathematical model of mid-long term stochastic ecological dispatching of reservoirs with minimum AAPFD and power generation is considered,and stochastic dynamic programming is used.The example calculation shows that the mid-long term ecological random scheduling model of the reservoir is more gradual than the deterministic scheduling model,and the water level change is more gradual,which is more conducive to ensuring the ecological flow of the reservoir and the ecological benefits is improved.
作者 童华敏 王炜 文昌斌 吴永华 刘江鹏 徐康 TONG Huamin;WANG Wei;WEN Changbin;WU Yonghua;LIU Jiangpeng;XU Kang(State Grid Yichang Power Supply Company,Yichang 443000;College of Electrical Engineering&Renewable Energy,Three Gorges University,Yichang 443002;State Grid Jingzhou Power Supply Company,Jingzhou 434000;State Grid Xiaogan Power Supply Company,Xiaogan 432000)
出处 《计算机与数字工程》 2021年第9期1924-1929,共6页 Computer & Digital Engineering
基金 国网宜昌供电公司科技项目(编号:J201801)资助。
关键词 中长期生态调度 随机径流 修正全年流量偏差 随机动态规划 发电量 mid-long term ecological operation runoff randomness amended annual proportional flow deviation stochastic dynamic programming power generation
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