提出一种水电站长期优化调度的神经元网络方法。
This paper presents a neural networks learning algorithm in long term optimization of hydropower station.
在水库长期优化调度问题中，一般以发电量最大为优化调度模型。
Traditionally referring to the long-term hydro optimal dispatching method, maximizing the power generation is the basic optimization model.
本文研究一种混联水电站水库群中长期优化调度的多维动态规划模型的求解方法。
In this paper a resolving method of multivariate dynamic programming model to mid and long term optimum operation for large scale hydropower system is studied.
在建立混联水电站群长期优化调度模型的基础上，应用混沌优化算法对模型进行求解。
The chaos optimal algorithm is applied to solve the optimal dispatch model for large scaled complicatedly connected hydropower station groups.
在阅读和研究大量水库调度领域文献的基础上，研究了中长期优化调度以及发电调度风险评估问题。
Based on reading and studying large number of literatures about reservoir scheduling, the long-term optimization scheduling problem and the scheduling risk assessment are studied.
为提高蓄能电站发电收益，建立了基于长期水文预报的水库优化调度方案。
To increase power generating benefits of the pumped-storage station, this paper mainly discussed the program of reservoir dispatching optimization, which based on long-term hydrological forecasting.
在进行水库群长期优化运行的研究中，讨论了一种适合于寻求水资源系统优化运行决策规则调度模型。
In the research on long term optimization operation of reservoir system, an operation model suited to seeking decision rule for water resources system is discussed.
以黄河上游梯级水电站群为例，考虑水电站水库已备有的短期或中长期预报方案，建立其优化调度模型。
The long-term optimal operation model is established for Baishan Hydropower Plant and the model is solved with POA algorithm.
建立了梯级水电站中长期联合优化调度模型，并采用逐步优化算法对其进行求解。
A model of mid-long term optimal dispatching of cascade hydropower stations is established and a solution is given using progressive optimality algorithm.
建立了梯级水电站中长期联合优化调度模型，并采用逐步优化算法对其进行求解。
A model of mid-long term optimal dispatching of cascade hydropower stations is established and a solution is given using progressive optimality algorithm.
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