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Mitigation Techniques
Published in L. Ashok Kumar, S. Albert Alexander, Computational Paradigm Techniques for Enhancing Electric Power Quality, 2018
L. Ashok Kumar, S. Albert Alexander
Generally, harmonic analysis is a steady-state calculation or measurement of the various frequencies present in the system and the system sensitivity to those frequencies. Transient analysis is a time-based measurement, calculation, or simulation of the response of the system to an event. There is some cross-over when it comes to dealing with actual systems, because a harmonic analysis (calculation) can be used to predict the damped oscillatory response of the system to a transient event. In power systems, we use a harmonic analysis to determine if the voltages and currents are within the allowable steady-state limits across the frequency range of interest. We use the transient analysis to determine what a single event (e.g., lightning stroke) will do to the equipment.
Power System Studies
Published in Shoaib Khan, Industrial Power Systems, 2018
Harmonic analysis can be carried out using one of the following techniques:Manual or hand calculations: these are restricted to small networks, are tedious and time consuming, and are vulnerable to errors.Transient network analyzer (TNA): an analog simulation with small-scale system components (generators, transformers, etc.) with responses close to those of the actual rating. This method is restricted to small networks and is costly and time consuming.Field measurements: these are used effectively to validate and calibrate the modeling of digital simulations.Digital simulations: these are load-flow runs using harmonic models for system components. This is the most convenient method for harmonic analysis, provided that the system component is modeled accurately and verified through field measurements.
Three-Phase Power Flow and Harmonic Analysis
Published in Antonio Gómez-Expósito, Antonio J. Conejo, Claudio A. Cañizares, Electric Energy Systems, 2018
Wilsun Xu, Julio García-Mayordomo
Power system harmonic analysis is to determine the impact of harmonic-producing loads on a power system. Harmonic analysis has been widely used for system planning, equipment design, troubleshooting, and so on. The following are the most commonly encountered applications of power system harmonic analysis: Verifying compliance with harmonic limits.Determining harmonic distortion levels for equipment selection.Designing harmonic mitigation measures such as harmonic filters.Checking if dangerous parallel resonance exist for a given network configuration.
Application of the Variational Mode Decomposition for Power Quality Analysis
Published in Electric Power Components and Systems, 2019
Kewei Cai, Wenping Cao, Zheng Liu, Wei Wang, Guofeng Li
In recent years, concerns over the power quality with harmonics and interharmonics have been increasing since the wide use of nonlinear loads and high-switching power electronic devices in the industry process, such as electric arc furnaces, HVDC, grid-tied distributed generation [1–3]. These give rise to disturbances to the power grids, which greatly affect the safe and economical operations of power systems, decrease the lifetime and performance of electrical equipment [4]. Harmonic analysis, including detection and separation of harmonics and interharmonics, is an important task to provide an adequate solution to power system quality and stability problems. However, separation of interharmonics is difficult to achieve, since their frequencies are irregular and not multiples of the fundamental frequency. In this case, there is an increasing need for new approach to decompose both harmonics and interharmonics from the grid voltage.
Seven levels fuzzy rule-based controller for modified shunt active line conditioner
Published in International Journal of Electronics, 2022
G. Muralikrishnan, N.K. Mohanty
The extensiveness of thyristor application in commercial and industrial activities had an impact on the increase in harmonic level in distribution network which results in a decrease of power factor. In 1991, SALC was employed for identified harmonic loads (Akagi, 1994). However, in 1995, SALC was developed to compensate for unidentified harmonics loads (Akagi & Fujita, 1995; Rajesh & Shajin, 2020; Shajin & Rajesh, 2020). Harmonic analysis is of two types namely time-domain analysis and frequency domain analysis. All the reported papers will follow any one of the above analysis for harmonic identification (Akagi, 1994; Akagi & Fujita, 1995; Montero et al., 2007; Sundaram & Venugopal, 2016; Muralikrishnan & Mohanty, 2017; P. Kumar & Mahajan, 2009; PitchaiVijaya & Mahapatra, 2011; R. Kumar & Bansal, 2018; Muralikrishnan & Mohanty, 2018; Haddad et al., 2016; Rathika & Devaraj, 2010; Abdusalam et al., 2009; Wang et al., 2019; Muralikrishnan & Mohanty, 2019b; Benaissa et al., 2014; Kashif et al., 2018; Muralikrishnan & Mohanty, 2019b; Biricik & Komurcugil, 2016). Various control strategies of SALC such as p-q method, Id – Iq method, Unity Power Factor (UPF) method, Perfect Harmonic Cancellation (PHC) method, Direct Power Control (DPC) method, SRF method have been proposed (Montero et al., 2007; Mythili et al., 2020; Sundaram & Venugopal, 2016). In those control strategies, various factors such as individual and total Harmonic Current Distortion limits, minimum load power factor, levels of current imbalance, size and economic considerations of ALC are taken into account (Muralikrishnan & Mohanty, 2017; Thotta et al., 2020). The controller design is the primary criteria which decide the ALC operation. Study on different types of controllers starting from conventional PI, sliding mode controller, back stepping to the latest soft computing techniques employed controllers such as fuzzy and hybrid controllers developed using conventional and advanced considering the merits have been carried out (R. Kumar & Bansal, 2018; P. Kumar & Mahajan, 2009; Muralikrishnan & Mohanty, 2018; PitchaiVijaya & Mahapatra, 2011). Various modulation techniques have been proposed starting from PWM to SVM (Haddad et al., 2016). From the results obtained by applying these controllers, it is clearly understood that to handle non-linearity (non-linear loads) and imprecise inputs (unbalanced supply); Fuzzy Rule-Based controller (fuzzy logic controller) overcomes the drawbacks of conventional PI controller (PitchaiVijaya & Mahapatra, 2011).