ABSTRACT

This paper outlines the importance of multiple time step optimization (MTO) in river basin allocation. The principal novelty of the work presented here is to provide a methodology for how to use MTO solutions in river basin planning and real-time operation. Two approaches for using the MTO results were tested on Damodar River basin in India and are presented in the paper. Using the proposed approach, the model managed flood flows without exceeding the downstream full bank channel capacity in 35 years of available historical data, while at the same time increasing generated hydropower on average by 63% annually, and supplying an additional 350 million m³ to irrigation and industry compared to the historical levels. The results presented in this study were obtained using the new Web-based Basin Management (WEB.BM) water management model, the only water allocation model with full Linear Programming (LP) optimization capabilities available online free of charge.

摘要

本文概述了多时间步长优化（MTO）在流域分配中的重要性。本文介绍的工作的主要新颖之处在于提供一种在流域规划和实时运营中如何使用MTO解决方案的方法。本文在印度的Damodar流域测试了两种使用MTO结果的方法，并在本文中进行了介绍。使用所提出的方法，该模型可以在35年的可用历史数据中管理洪水流量而不会超出下游的全部河岸渠道容量，同时平均每年将发电水力增加63％，并额外提供3.5亿立方米³与灌溉和工业相比的历史水平。本研究中提出的结果是使用新的基于Web的流域管理（WEB.BM）水管理模型获得的，该模型是唯一可免费在线免费获得的具有完整线性规划（LP）优化功能的水分配模型。