A Study of Adaptive Network-based Fuzzy Inference System for Reservoir Operation
Date Issued
2006
Date
2006
Author(s)
Chang, Ya-Ting
DOI
zh-TW
Abstract
Resulting from the continuous increase in water demand and uneven water distribution both on time and space, the efforts of pursuing integrated optimal water resource management become critical. Intelligent control is a state-of-the-art technology that resembles the human thinking process in decision making and strategy learning, and it has been well recognized for its outstanding ability in controlling complex systems
In this study, we continue to pursue the novel intelligent control methodology, which includes genetic algorithm (GA), fuzzy theory, and adaptive network-based fuzzy inference system (ANFIS), for efficiently and effectively operating a multi-objective reservoir. First, GA and fuzzy rule base (FRB) are used to extract the knowledge based on the historical inflow data with a design objective function and the traditional rule curve operating strategy, respectively. The ANFIS is then used to implement the knowledge, to create the fuzzy inference system, and then to estimate the optimal reservoir operation. The results show that the ANFIS models built on different types of knowledge have better performance than the traditional M-5 rule curves in reservoir operation. Second, for the purpose of comparison, the predictive ability of CFNN and ANFIS model are performed by using the inflow data of Shihmen reservoir. The result demonstrate that ANFIS can be applied successfully and provide high accuracy and reliability for reservoir inflow forecasting in the next three hours. Finally, we propose an intelligent operating strategy for real-time reservoir flood operation. The fuzzy programming is implemented to deal with the inherent imprecision and vagueness characteristic of reservoir objectives and constraints; GA is then to search the optimal solutions; forecasted hourly inflow by ANFIS and observed hourly inflow are used to simulate the model performances, respectively; ANFIS is used for estimating the optimal flood operation. The results obtained in this study are valuable information for the flood mitigation.
Subjects
智慧型控制理論
水庫操作
遺傳演算法
模糊規劃
調適性網路模糊推論系統
intelligent control theory
reservoir operation
genetic algorithm
fuzzy programming
adaptive network-based fuzzy inference system
Type
thesis
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