论文标题
使用带有模糊推理系统的三个池塘模型的水位调节的新范式
A New Paradigm for Water Level Regulation using Three Pond Model with Fuzzy Inference System for Run of River Hydropower Plant
论文作者
论文摘要
河流水电厂的能量产生取决于河流的流动,水流的变化使能源产生不可靠。通常通过在河水水电厂的运转前建造一个小池塘来解决此问题。但是,常规单个池塘模型的水位变化导致下垂,潮流和不可预测的功率波动。这项工作提出了三个池塘模型,而不是传统的单个池塘模型。三个池塘中的水量在体积上等同于传统的单个池塘,但它减少了河流发电厂对河流的依赖。此外,三个池塘模型会更有效地吸收水流和干扰。三个池塘系统以非线性液压三个储罐系统建模,正在使用模糊的推理系统和基于标准PID的方法应用,以进行平滑有效的水平调节。与常规的PID控制器相比,模糊推理系统的结果在调节和干扰处理方面得到了整个板的改善。
The energy generation of a run of river hydropower plant depends upon the flow of river and the variations in the water flow makes the energy production unreliable. This problem is usually solved by constructing a small pond in front of the run of river hydropower plant. However, changes in water level of conventional single pond model results in sags, surges and unpredictable power fluctuations. This work proposes three pond model instead of traditional single pond model. The volume of water in three ponds is volumetrically equivalent to the traditional single pond but it reduces the dependency of the run of river power plant on the flow of river. Moreover, three pond model absorbs the water surges and disturbances more efficiently. The three pond system, modeled as non-linear hydraulic three tank system, is being applied with fuzzy inference system and standard PID based methods for smooth and efficient level regulation. The results of fuzzy inference system are across-the-board improved in terms of regulation and disturbances handling as compared to conventional PID controller.