Abstract
The integration of renewable energy sources and varying load demands have risen reliability and stability issues that need proper attention and optimum solution. Continuous and reliable operation of the power system is the key to any country's economic and industrial growth. In this regard, a Static synchronous compensator (STATCOM) has extensively adapted Flexible Alternating Current Transmission System (FACTS) device mainly for Volt Ampere Reactive (VAR) compensation, voltage stability, damping oscillations to improve power system stability. In this work, A NeuroFuzzy wavelets based auxiliary control for STATCOM in a two-area power system is proposed in this article. The proposed control system was tested on four different fault scenarios. A modified Takagi-Sugeno-Kang (TSK) controller by applying a Wavelet Neural Network (WNN) is used to evaluate controllers' performance. The conventional TSK control is used to assess the performance of the proposed controllers. The TSK controller is modified by applying a WNN in the consequent part. The updated parameters in Morlet and Mexican hat wavelets are updated in the WNN, and these proposed adaptive controllers are employed as damping controllers with STATCOM. Simulation results show sufficient performance enhancement using the modified WNN based control schemes. The dynamic performance improvement is demonstrated with graphical time-domain and performance indices results using MATLAB/Simulink.
Highlights
Climate change and the growing population have increased power demands and energy needs
The Auxiliary Damping Control (ADC) mechanism, introduction of neural network and fuzzy system, detailed layer structure of NeuroFuzzy Wavelet Control (NFWC) and its self-tuning algorithm are presented in section III; the simulation results are presented and discussed in the graphical and quantitative results section, and in last, a conclusion is presented with a focus on the key findings of this work
The results show that performance improvement achieved by the proposed controller is more significant in Integral Time Square Error (ITSE) and Integral Time Absolute Error (ITAE)
Summary
Climate change and the growing population have increased power demands and energy needs. FACTS, along with an auxiliary control, can be used to damp out the low frequency oscillations effectively. Due to their fast response, FACTS devices are used to enhance steady-state performance and dynamic stability [7]. Among all other FACTS controllers, Static synchronous compensator (STATCOM) is used for power flow control, voltage control, Volt Ampere Reactive (VAR) compensation, damping oscillations, and voltage stability at long-distance transmission lines. It is utilized for power quality improvement as Distribution STATCOM (D-STATCOM). The ADC mechanism, introduction of neural network and fuzzy system, detailed layer structure of NFWC and its self-tuning algorithm are presented in section III; the simulation results are presented and discussed in the graphical and quantitative results section, and in last, a conclusion is presented with a focus on the key findings of this work
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