在个人计算机上优化水轮机调度

Bojan Novak, Peter Kokol
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引用次数: 1

摘要

短期最优调度的目的是根据日负荷持续时间曲线和振荡负荷最小的火电厂运行情况,根据河流的自然水量,实现发电量的最大化。火电厂的启动时间长,不能跟上负荷需求的变化,因此用于覆盖负荷的恒定部分,而负荷需求的高峰由水力发电机组覆盖。建立了一个新的水力发电厂链的数学模型,它只使用两个变量,而不是三个变量。优化算法采用牛顿法,该方法适用于精确的L罚函数,允许不可行的起点,因此一开始不需要阶段一单纯形或投影法。利用FORTRAN 77编程语言和电子表格软件,将数学模型以计算机程序的形式在PC机上实现。该程序应用于德拉瓦河上的一条水力链。初步结果表明,应用优化技术可以大大降低水电厂链的运行成本。
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Optimal hydro-termo scheduling on a personal computer

The purpose of optimal short-term scheduling is to maximize electrical energy production depending on the natural water inflows of a river, according to a daily load duration curve and the operation of thermal power plants with minimal oscillating load. Thermal power plants have a long start-up time and cannot follow changes in load demand so they are used to cover the constant part of the load, but peaks in load demand are covered by hydro units. A new mathematical model of a hydro plant chain was developed which used only two, instead of three, variables. The optimization algorithm used Newton's method which is applied on the exact L penalty function which allows a nonfeasible starting point so no phase I simplex or projection method is needed at the beginning. The mathematical model was implemented on a PC as a computer program using the FORTRAN 77 programming language and spreadsheet software. The program was applied to a hydro-chain on the river Drava. Preliminary results show that applying optimization techniques can greatly reduce costs of operating a hydro plant chain.

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