Finding optimal policies for real-life reservoir systems operation (RSO) is a challenging task as the available analytical methods cannot handle the arbitrary functions of the problem. Most of the methods employed are numerical or iterative type and are computer dependent. Since the computer resources in terms of memory and CPU time are limited efficient algorithms are necessary to deal with the RSO problems. In this paper we present a Genetic Algorithms (GA) optimized rule curve (RC) model for monthly operation of a multipurpose reservoir which maximizes hydropower produced while meeting the irrigation demands with a given reliability. Instead of the usual single target storage for each period the proposed model considers three sets of target storages, namely dry, normal, and wet storages, based on the beginning of the period storage level. The reservoir considered is Bhadra Multipurpose Reservoir, in the state of Karnataka, India, which supplies water to irrigation fields through two canals while generating hydropower with turbines installed at each of the canal heads and at the river bed. Optimization ability and robustness of GA-RC approach are ascertained through simulation with a different inflow sequence for which global optimum is computed using Dynamic Programming. Further, a 15 year real-time simulation of the reservoir using historical inflows and demands showed significant improvement in the benefit, i.e. power produced, without compromising on the irrigation demands throughout the operation period.

为现实的水库系统运行（RSO）寻找最佳策略是一项艰巨的任务，因为可用的分析方法无法处理问题的任意功能。所采用的大多数方法是数字或迭代类型，并且取决于计算机。由于就内存和CPU时间而言，计算机资源是有限的，因此需要有效的算法来处理RSO问题。在本文中，我们针对多用途水库的月度运行提出了遗传算法（GA）优化规则曲线（RC）模型，该模型可在满足给定可靠性的前提下最大化灌溉水力的同时满足灌溉需求。代替每个时期的通常单个目标存储，提议的模型根据时期存储级别的开始考虑了三组目标存储，即干存储，普通存储和湿存储。所考虑的水库是印度卡纳塔克邦的Bhadra多功能水库，该水库通过两条运河向灌溉区供水，同时利用安装在各运河头和河床处的涡轮机发电。GA-RC方法的优化能力和鲁棒性是通过模拟不同的流入顺序来确定的，并使用动态规划来计算全局最优值。此外，使用历史流量和需求对水库进行的15年实时模拟显示出收益（即发电量）的显着提高，而不影响整个运营期间的灌溉需求。它通过两条运河向灌溉场供水，同时利用安装在每个运河首端和河床的涡轮机发电。GA-RC方法的优化能力和鲁棒性是通过模拟不同的流入顺序来确定的，并使用动态规划来计算全局最优值。此外，使用历史流量和需求对水库进行的15年实时模拟显示出收益（即发电量）的显着提高，而不影响整个运营期间的灌溉需求。它通过两条运河向灌溉场供水，同时利用安装在每个运河首端和河床的涡轮机发电。GA-RC方法的优化能力和鲁棒性是通过模拟不同的流入顺序来确定的，并使用动态规划来计算全局最优值。此外，使用历史流量和需求对水库进行的15年实时模拟显示出收益（即发电量）的显着提高，而不影响整个运营期间的灌溉需求。