黎巴嫩利塔尼河项目梯级水电站短期水力发电调度

Bassam Bou-Fakhreddine, Sara Abou-Chakra, I. Mougharbel, Alain Faye, Y. Pollet
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引用次数: 4

摘要

梯级水电站短期水力发电优化调度是一个典型的非线性规划问题,在满足水电约束的前提下,使发电功率与电网要求的偏差最小。本文的主要目标是找出多水库系统中各水电站每小时的最优放水量,以使电力亏缺最小化。然后将所需的负荷分配给利塔尼河-黎巴嫩河上建造的三个梯级水电站:马卡巴、阿瓦利和查尔斯·赫卢。为了实现我们的目标,涉及和结合数据挖掘和数学规划的方法将作为决策支持工具(DST)的基础。根据分级存储的特点,采用多软件框架实现分布式控制结构。利用MATLAB进行数学优化,利用LabVIEW开发时序控制人机界面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Short-term hydro generation scheduling of cascade plants operating on Litani River project — Lebanon
Short-term hydro generation optimal scheduling of cascade hydropower stations is a typical nonlinear programming problem that minimizes the deviation between the produced power and the grid requirement while satisfying hydraulic and electrical constraints. In this work, the main objective is to find the optimal hourly water discharge rate of each hydro station in a multi-reservoir system to minimize the power deficit. The demanded load is then distributed among the working units of three cascade hydropower stations constructed on Litaini River - Lebanon: Markaba, Awali and Charles Helou. To achieve our goal, methods involving and joining data mining and mathematical programming will serve as a base for a Decision Support Tool (DST). Based on the DST features, a distributed control structure is implemented using a multiple software framework. MATLAB is used for mathematical optimization while LabVIEW is employed to develop Human Machine Interface (HMI) for sequential control.
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