Artificial neural network and synchrosqueezing wavelet transform based control of power quality events in distributed system integrated with distributed generation sources

Abstract

This paper proposes a novel control scheme for unified power quality conditioner (UPQC) to minimize voltage sag, swell, and total harmonic distortion (THD) in a distribution grid integrated with distributed generation (DG). UPQC is a power electronics module that can provide, both, series and shunt compensation simultaneously in a distribution system. The whole characteristic of UPQC is dependent on the embedded control algorithms, which are used for generating a reference signal. This work focuses on synchrosqueezing wavelet transform (SWT) based identification, detection, and control of power quality (PQ) events. SWT is a time-frequency analysis method that analyzes multicomponent signals with oscillating modes. In this paper, first, SWT is used for the detection and identification of various kinds of PQ issues in the DG integrated grid. The SWT based identification scheme provides better resolution and increases the readability of time-frequency representation. This work further explores to control the PQ issues through UPQC's enhanced compensation capabilities which utilize artificial neural network (ANN) with SWT based shunt controller. The effectiveness of the proposed method is validated through MATLAB/ SIMULINK simulations and is seen that ANN with SWT based controller is better performed in comparison to ANN based controller,

Performance Analysis of Renewable Energy Based Distributed Generation System Using ANN Tuned UPQC

“…Apart from this, the use of non-linear loads at the point of common coupling (PCC) also inserts the harmonics in system. Relatively common PQ problems are voltage sags/swells, flicker and harmonics [6]- [9]. With the need for clean energy, in addition to the rigorous power quality desires of sophisticated loads and power electronics devices, here is a requirement for multifunctional systems capable of integrating clean energy production and improving the quality of power.…”

“…However, they are costly than passive filters. Numerous FACTS controllers are too utilized to enhance performance and power quality [6], [22], [23]. FACTS devices, including UPFC-FLC, UPFC, SVC, UPQC and GUPFC are the most widely used power quality enhancement devices.…”

Implementation of ANN Controller Based UPQC Integrated with Microgrid

“…Nevertheless, these are more expensive as compared to passive power filters. Active power conditioners (APC), active voltage conditioners (AVC), dynamic voltage restorers (DVR), and distribution static synchronous compensators (DSTAT-COM) are among the FACTS controllers used to improve power quality owing to disturbances such as voltage sag/swell, non-linearity, and harmonics [4,5]. According to current research, a unified power quality conditioner (UPQC) is a low-cost custom power device (CPD) linked at the point of common coupling (PCC) that protects power supply units and consumers from power quality changes [6].…”

“…The performance of UPQC is determined by the control algorithm used to generate current and voltage reference signals, which are then used by inverters to carry out critical control operations [5]. Control algorithms such as instantaneous active-reactive (IAR) power theory, synchronous reference frame (SRF) theory, unit vector template (UVT) generation, fast Fourier transform (FFT), discrete wavelet transform (DWT), and exponential composition algorithm (ECA) are used to generate reference signals in UPQC [5]. The performance of UPQC is determined by the precision and speed with which reference signals are created [3].…”

“…The PV system using ANN-based UPQC has been used in [22] to maintain smooth operation during low voltage ride through (LVRT) and improve power quality. The time-frequency analysis method based on ANN with SWT has been presented in [5] to identify, detect, and control power quality issues in a distribution system integrated with a micro grid. An ANFIS based adaptive control method has been presented in [6] to mitigate power quality distortion by integrating a grid-connected micro-grid using UPQC devices.…”