PI tuning of Shunt Active Filter using GA and PSO algorithm

Gowtham, N.; Shankar, Shobha

doi:10.1109/aeeicb.2016.7538274

Cited by 19 publications

(8 citation statements)

References 15 publications

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“…Fig. 1-b is a simple display of shunt active power filters, as it is shown APF is compensating the nonlinear load current by injecting the same nonlinear current that load absorbs from the grid, so that the grid current will be sinusoidal [66,67] Ongoing researches in this field are concentrated over novel control methods of shunt active power filters and also new applications for shunt APFs [68][69][70][71][72][73][74][75][76][77][78][79][80]. More detailed analysis of main topologies of shunt active power filters is done in [81].…”

Section: Shunt Active Power Filtermentioning

confidence: 99%

An overview of power quality enhancement techniques applied to distributed generation in electrical distribution networks

Naderi

Hosseini

Zadeh

et al. 2018

Renewable and Sustainable Energy Reviews

126

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-It is obvious that power quality is an important characteristic of today's distribution power systems as loadsbecome more sensitive on the other hand nonlinear loads are increasing in the electrical distribution system. Considering the distributed nature of harmonic loads, the need for distributed power quality improvement (PQI) is inevitable. From years ago, researchers have been working on various kinds of filters and devices to enhance the overall power quality of power system, but today the nature of distribution system has been changed and power electronic based DGs play an important role in distribution grids. In this paper, a thorough survey is done on power quality enhancement devices with emphasis on ancillary services of multi-functional DGs. A literature review is also done on microgrids concept, testbeds and related control methods. Although there were some applications of DGs for PQI improvement these applications were not defined multi-functional DGs. Various control methods are studied and categorized regarding different viewpoints in the literature. Finally, a couple of thorough comparisons are done between the available techniques considering the nature, capabilities, advantages and implementation costs.

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Section: Shunt Active Power Filtermentioning

confidence: 99%

An overview of power quality enhancement techniques applied to distributed generation in electrical distribution networks

Naderi

Hosseini

Zadeh

et al. 2018

Renewable and Sustainable Energy Reviews

126

View full text Add to dashboard Cite

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“…Notably, when the classical optimization techniques were employed for DC‐bus voltage stabilization, the reduction achieved in peak magnitude and settling time was not sufficient enough. In this context, these methods require particular mention, and they are as follows: (a) bacterial foraging optimization (BFO) 12,13 ; (b) PSO 14‐18 ; (c) Artificial Bee Colony technique 19 ; (d) GSA 20‐24 ; (e) Genetic Algorithm (GA) 21 ; and (f) the authors' approach based on GWO‐PI 25,26 . Particularly, the optimized gain coefficients of PI‐compensator can be achieved in two steps as outlined below: Initially, a proportional and integral gain coefficients K p and K i , respectively, are determined through random approximation. In a second step, random approximations are converged to a minimum value.…”

Section: Introductionmentioning

confidence: 99%

“…Note that the large step‐size increases convergence process; however, the accuracy will degrade. On the contrary, the accuracy can be improved with small step‐size, but at the price of the slower convergence process. Recently, the GSA developed by Rashedi et al have attracted significant attention due to its ability to converge faster while providing optimal tuning of PI‐compensator gain coefficients 20‐23 . Further, a method proposed in Reference 24 exploits the property of GSA for parameters tuning of PI‐compensator and employs feed‐forward compensation for enabling adaptive DC‐link voltage control in the grid‐integrated PV system.…”

Section: Introductionmentioning

confidence: 99%

“…• Recently, the GSA developed by Rashedi et al have attracted significant attention due to its ability to converge faster while providing optimal tuning of PI-compensator gain coefficients. [20][21][22][23] Further, a method proposed in Reference 24 exploits the property of GSA for parameters tuning of PI-compensator and employs feed-forward compensation for enabling adaptive DC-link voltage control in the grid-integrated PV system. However, the performance of GSA was not investigated under the different operating condition of supply and load.…”

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confidence: 99%

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Electronically coupled photovoltaic system with grey wolf optimizer enabled DC ‐link voltage control loop

Patel

Kumar

Gupta

2020

Int Trans Electr Energ Syst

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Stabilization of DC-link voltage is indispensable for the satisfactory operation of three-phase electronically coupled photovoltaic (PV) system. Practically, a challenge is to promptly and effectively settle the DC-link voltage with minimum peak magnitude and settling time to its pre-disturbance level when exposed to disturbances in the load and solar insolation level. The classical methods of DClink voltage stabilization employ a proportional-plus-integral (PI) compensator, and its gain coefficients are modulated through a cumbersome trial-and-error approach. Nevertheless, this approach does not yield superior results, especially under the wide interruptions in operating conditions due to nonlinear and timevarying characteristic of the PV module. These concerns have resulted in the emergence of multiple meta-heuristic techniques to optimally tune PI compensator gain coefficients. Nevertheless, most of these methods call for the ingrained paradox between computational efficiency and dynamic performance. Driven by this drawback, a proposal based on grey wolf optimizer (GWO-PI) is described in this paper to serve the following control targets: (a) be able to improve harmonic filtering with computational effectiveness, and (b) to ensure superior performance under exposure to interferences in the load and solar insolation level. Good agreement in MATLAB/Simulink simulation studies and experimental evaluations establish that the proposed GWO-PI outperforms the existing standardized optimization techniques such as particle swarm optimization (PSO-PI) and gravitational search algorithm (GSA-PI) in aspects of peak magnitude and settling time. Besides, it practically enables an improved harmonic filtering LIST OF SYMBOLS AND ABBREVIATIONS: K p , proportional gain coefficient of PI-controller; K i , integral gain coefficient of PI-controller; i LR , i LY , i LB , load currents; i L0 , zero-sequence component of the current; i Lα , i Lβ , i L0 , stationary reference frame currents; i Ld , active current component; i Lq , reactive current component; φ, grid voltage phase-angle; i * dc , d-axis reference current; i dc , DC-link VCL output; i Ldh , load harmonic current; i α , i β , i 0 , reference compensating currents; i Cα , i Cβ , i C0 , actual compensating current; V DC , measured DC-link voltage; V DCref , reference DC-link voltage; E SS , steady-state error; O f , objective function; M p , peak magnitude; T s , settling time; α, alpha; β, beta; δ, delta; ω, omega; D !

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“…In a paper by Akashkumar et al, the dynamic performance of the systems are Evaluated under different supply conditions and compared with the performances of the working with PI controller [20]. In Gowtham and shobha's paper, they have used a PI controller whose proportional and integral constants are being optimised using genetic and PSO algorithm [21]. In the same control strategy, PI controller was being replaced by fuzzy logic controller to improve the performance of system in a paper by Shuai Hao et al [22].…”

Section: B DC Link Pi Control Theorymentioning

confidence: 99%

A Review: Design of Active Power Filters using Soft Computing Techniques

Rathore¹,

Gupta²

2017

International Journal of Innovative Research in Electrical, Ele

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Electrical power quality determines the fitness of a system. Major power quality issues nowadays are harmonics and reactive power. Non-linear loads are the main cause of introduction of harmonics in the system. To mitigate these harmonics, suitable filters are needed to be introduced in the system. Active power filter provides an effective and adjustable solution to eliminate harmonic current and compensate reactive power in an electrical power system. Its performance depends on the strategies employed and the type of controller being used in reference current generation. This paper presents a survey on using soft computing techniques and application of different control strategies in active power filter.

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PI tuning of Shunt Active Filter using GA and PSO algorithm

Cited by 19 publications

References 15 publications

An overview of power quality enhancement techniques applied to distributed generation in electrical distribution networks

An overview of power quality enhancement techniques applied to distributed generation in electrical distribution networks

Electronically coupled photovoltaic system with grey wolf optimizer enabled DC ‐link voltage control loop

A Review: Design of Active Power Filters using Soft Computing Techniques

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