Modified Proportionate Affine Projection Algorithm Based Adaptive DSTATCOM Control With Increased Convergence Speed

Abstract

The three-phase DSTATCOM is prone to higher dynamics due to grid disturbances. The proportionate affine projection algorithm (PAPA) is an adaptive filter that can be used for DSTATCOM control. In order to overcome the sluggish convergence speed of adaptive filters, PAPA is proposed in this paper. The convergence rate versus the steady-state error is a trade-off in conventional adaptive filters. However, the utilization of two adaptive filters in CSS-PAPA increases the convergence and decreases the steady-state error. The suggested filter has the advantage of having a lower computational cost than a standard adaptive filter. The proposed filter helps the inverter to work as a shunt compensator. The goal of the suggested controller is to adjust for reactive power and unity power factor during faulty conditions. The proposed DSTATCOM controller has undergone experimental validation in the laboratory.

Enhancement Cascaded Least Square of RLS and NLMS for Wireless Communication System

“…Although it covered a nonstationary condition, the research did not include multicarrier modulation. Dash et al, [15] proposed various approaches to improve the convergence rate, including the use of a modified proportionate affine projection algorithm. Although their suggested technique enhances the performance of LMS, has a low misadjustment error and acceptable complexity, the method was not derived for the OFDM system.…”

Photovoltaic Partial Shading Performance Evaluation With a DSTATCOM Controller

“…Using an electronic voltagesource converter (VSC), it can provide or sink reactive alternating current (AC) power from a grid. As a fastcompensating reactive power source, distributed STATCOM (DSTATCOM) reduces voltage changes like sags, surges, and flicker produced by quickly changing reactive power demand on the transmission or distribution system [33]. Because a DC capacitor at DC-side of VSC is used to maintain the DClink voltage constant, a DSTATCOM has a low active power generation capacity.…”

Design and development of leaky least mean fourth control algorithm for single‐phase grid‐connected multilevel inverter

“…where λ is the adaptation constant and γ is the learning rate, and its value ranges between 0 and 1. Equation (19) shows the weight updation equation of the LLMF control technique, which is being used in the proposed controller to extract the fundamental active weight of the load current. The LLMF technique is developed for the control of a Distribution Static Compensator (DSTATCOM), which provides the necessary compensating currents at PCC so that the supply current is perfectly sinusoidal.…”

“…The DSTATCOM can be configured to solve PQ problems such as harmonics filtering, reactive power compensation, voltage support in low‐voltage distribution networks, load balancing, and lowering SPV power fluctuations using several control algorithms. These algorithms include synchronous reference frame theory (SRFT), 10 P‐Q theory, 11 salp swarm optimization algorithm (SSOA), 12 cascaded enhanced second‐order general integrator with a prefilter (CESOGI‐WPF) control technique, 13 LCL‐filter‐based DSTATCOM, 14 ANOVA Kernel Kalman filter (AKKF), 15 Hermite function‐based ANN, 16 optimized multi‐layer perceptron (MLP) neural network, 17 Bernoulli polynomial‐based control technique, 18 proportionate affine projection algorithm (PAPA), 19 Laguerre polynomial (LP)‐based algorithm, 20 instantaneous symmetrical components theory (ISCT), 21 normalized least mean absolute third (NLMAT) algorithm, 22 and immune feedback control algorithm 23 . The DC link of the DSTATCOM can also be used to interface solar photovoltaic (SPV) arrays to extract DC power to three‐phase system 24 .…”