Adaptive Filtering for Power Quality Features with Optimized PI Gains in Four Wires UPQC

The Unified Power Quality Conditioner (UPQCUnified Power Quality Conditioner (UPQC)) is the utmost competitive apparatus. It can simultaneously mitigateMitigate the power qualityPower quality (PQ) disturbancesDisturbances related to voltageVoltage and currentCurrent on both ends of the line. This chapter offers a unique solutionSolution for PQ improvementImprovement by using Recursive Least SquareRecursive Least Square (RLS) algorithmAlgorithm in the UPQCUnified Power Quality Conditioner (UPQC) control strategyControl strategy. The RLS algorithmsAlgorithm have broad applications in many fields, such as processing, controlling, and communicating real-timeReal time signalsSignal. So, this chapter deals with the noiseNoise cancellation property of the RLS techniqueTechniques in extracting the Fundamental ComponentsFundamental components (FC) to develop a referenceReference signalSignal for the UPQCUnified Power Quality Conditioner (UPQC) controllerController. The result depicts RLS algorithmAlgorithm in the UPQCUnified Power Quality Conditioner (UPQC) system performs better in canceling several types of PQ issuesIssue. To shorten the tuningTuning timeTime of the Proportional IntegralProportional Integral (PI) controllerController gainsGains, a nature-inspired Spider Monkey OptimizationSpider Monkey Optimization (SMO) algorithmAlgorithm is implemented. A better exploration and exploitation of SMO leads to the prevention of local minima. The action takes place inside each groupGroups during the convergenceConvergence process. The UPQCUnified Power Quality Conditioner (UPQC) system, combined with the RLS controlControl algorithmAlgorithm and SMO-optimizedOptimized PI gainsGains, is developed using a MATLAB environment. It is examined in simulation and hardwareHardware for different PQ perturbations in the powerPower distribution line.