Modeling of bekhma reservoir system operation using fuzzy logic controller

Abstract EN

A new approach is presented to obtain the operational rules for Bekhma Reservoir System (BRS) using the concept of Fuzzy Logic Controller (FLC).

The technique is an attempt to introduce a mechanism that assists the operator of the reservoir system to do the job in a systematic manner.

This technique has to be applied in each time step of the procedure.

Thus the need of simulation model to mimic the reservoir operation procedures over a certain horizon of time is evident.

In this regard, Simulation model based on Simulink technique was implemented to test the performance of BRS where FLC rules are used to operate the system.

The applicability of this technique is illustrated for BRS operation where 73 years of recorded average monthly inflows are available.

The monthly inflow data have been transformed into daily based data by means of disaggregation procedures.

Additionally, the necessary membership functions required by the Fuzzy Logic Algorithms were built based on the inflow and the elevation of the reservoir in which they were representing the inputs.

Thus the inflows and the elevations of storage in each selected simulation time step are characterized as: very low, low, moderate, high and very high respectively.

While the releases have also been characterized using the same aforementioned five categories to represent the output of the fuzzy controller.

The obtained results were compared to the results emerged from previous study conducted on the same system with the same set of data, except that it was using constant release from BRS.

The present study reveals that there is 8.45% improvement based on hydropower generation when FCL is used compared to that resulted from the constant reservoir release operation concepts.