Abstract
The automatic voltage regulator is an important component in energy generation systems; therefore, the tuning of this system is a fundamental aspect for the suitable energy conversion. This article shows the optimization of a fuzzy automatic voltage controller for a generation system using real-time recurrent learning, which is a technique conventionally used for the training of recurrent neural networks. The controller used consists of a compact fuzzy system based on Boolean relations, designed having equivalences with PI, PD, PID, and second order controllers. For algorithm implementation, the training equations are deduced considering the structure of the second order compact fuzzy controller. The results show that a closed-loop fuzzy control strategy was successfully implemented using real-time recurrent learning. In order to implement the controllers optimization, different weighting values for error and control action are used. The results show the behavior of the configurations used and its performance considering the steady state error, overshoot, and settling time.
Highlights
Processes 2021, 9, 947. https://The power grid is a non-linear complex system consisting of various interconnected systems or control areas
Since the purpose of this system is to control the energy of the power grid to which the generator is connected by a power transformer, the level of energy is constantly measured as a feedback signal using an energy sensor that may consist of a transformer
When completing the simulation time, the controller parameters are updated with the optimized values and it is returned to the step where is calculated the control system response for a new iteration k = k + 1, until the objective function JT (k ) given by Equation (53) is less than a defined ε, or until k is equal to a defined number KT
Summary
The power grid is a non-linear complex system consisting of various interconnected systems or control areas. The distribution network is employed to control various nodes in the supply network with power supply stabilizers, power systems, and Automatic. Following [4], excitation systems for synchronous generators contribute to the effective control of voltage and the stability of the energy system. Even if such an excitation system is adjusted to allow the proper operation of the electric energy scheme in a wide range of operating conditions, it may be necessary to tune it again when aiming at the improvement of the system’s stability amid disregarded operation conditions. The excitation system helps keep the energy and the control of power flux employing an automatic voltage regulator.
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