An intelligent technique for optimal power quality reinforcement in a grid‐connected <scp>HRES</scp> system: <scp>EVORFA</scp> technique

Goud, B. Srikanth; Rao, B. Loveswara; Reddy, Ch. Rami

doi:10.1002/jnm.2833

Cited by 27 publications

(11 citation statements)

References 45 publications

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“…where G(s) represents the FOPID controller's transfer function in the HRES system, u(s) represents controller output, and e(s) represents the HRES system's error signal [30][31][32][33]. Figure 7 illustrates the interface framework of a FOPID controller.…”

Section: Fopid Controllermentioning

confidence: 99%

Power Quality Improvement in HRES Grid Connected System with FOPID Based Atom Search Optimization Technique

Reddy¹,

Goud

Aymen

et al. 2021

Energies

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An intelligent control strategy is proposed in this paper which suggests the Optimum Power Quality Enhancement (OPQE) of grid-connected hybrid power systems with solar photovoltaic, wind turbines, and battery storage. Unified Power Quality Conditioner with Active and Reactive power (UPQC-PQ) is designed with Atom Search Optimization (ASO) based Fractional-order Proportional Integral Derivative (FOPID) controller in the proposed Hybrid Renewable Energy Sources (HRES) system. The main aim is to regulate voltage while reducing power loss and reducing Total Harmonic Distortion (THD). UPQC-PQ is used to mitigate the Power Quality (PQ) problems such as sag, swell, interruptions, real power, reactive power and THD reductions related to voltage /current by using ASO based FOPID controller. The developed technique is demonstrated in various modes: simultaneous to improve PQ reinforcement and RES power injection, PRES > 0, PRES = 0. The results are then compared to those obtained using previous literature methods such as PI controller, GSA, BBO, GWO, ESA, RFA, and GA and found the proposed approach is efficient. The MATLAB/Simulink work framework is used to create the model.

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Section: Fopid Controllermentioning

confidence: 99%

Power Quality Improvement in HRES Grid Connected System with FOPID Based Atom Search Optimization Technique

Reddy¹,

Goud

Aymen

et al. 2021

Energies

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“…This is accomplished using BWO optimization, which reduces the V dc variation from the reference V dc *. The major factors that determine the optimality of FOPIDC are the rising time (tr), maximum overshoot (V c max), and steady-state error (Ess) [53]. The major goal here is to reduce the dc voltage variation (V dc ), which is expressed as…”

Section: Voltage Regulation Using Bwo Optimizationmentioning

confidence: 99%

Power Quality Improvement Using Distributed Power Flow Controller with BWO-Based FOPID Controller

Goud

Reddy²,

Bajaj

et al. 2021

Sustainability

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The integration of hybrid renewable energy sources (HRESs) into the grid is currently being encouraged to meet the increasing demand for electric power and reduce fossil fuels which are causing environmental-related problems. Integration of HRESs into the grid can create some power quality (PQ) problems. To mitigate PQ problems and improve the performance of grid-connected HRESs some flexible devices should be used. This paper presents a distributed power flow controller (DPFC), as a type of flexible device to mitigate some PQ problems, including voltage sag, swell, disruptions, and eliminating the harmonics in a hybrid power system (HPS). The HPS presented in this work comprises a photo voltaic (PV) system, wind turbine (WT) and battery energy storage system (BESS). As a result, black widow optimization (BWO) with DPFC with real and reactive power (DPFC-PQ) is built in this paper to solve the PQ issues in HRES systems. The main aim of the work is to mitigate PQ problems and compensate for load demand in the HRES scheme. The controller used to drive this DPFC-PQ is a fractional-order PID (FOPID) controller optimized by the black widow optimization (BWO) technique. To assess the capability of BWO in fine-tuning the FOPID controller parameters, twelve optimization techniques were presented: P&O, PSO, Cuckoo, GA, GSA, BBO, Whale, ESA, RFA, ASO, and EVORFA. Additionally, a comparison between the FOPID controller and the classical PI controller is introduced. The results showed that the proposed BWO-FOPID controller for DFPC had mitigated the PQ problems in grid-connected HRESs. The system’s performance with the presented BWO-FOPID controller is compared with eleven optimization techniques used to optimize the FOPID controller and also compared with the conventional PI controller. The design of the proposed system is implemented in the MATLAB/Simulink platform and performances were analyzed.

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“…where, As per Newton's second law which states that acceleration of particle is ratio of force applied on a particle to its mass as state in (2).…”

Section: Gsa Based Sapf Optimizationmentioning

confidence: 99%

“…With the use of power electronic-based devices, various power related issues such as load unbalance and harmonics are injected in modern distribution systems [1], [2]. These loads are termed non-linear loads.…”

Section: Introductionmentioning

confidence: 99%

Performance enhancement of shunt active power filter using soft computing techniques

Govind¹,

Tayal²,

Kumar³

2021

IJAPE

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Nowadays, active power filter (APF) is the most popular device for harmonic compensation. This paper presents the soft computing techniques for compensation of currents harmonics using a shunt active power filter (SAPF). The method includes a 3-phase supply system with a current-controlled voltage source converter (CC-VSC) having an input coupling inductor and output tank capacitor for a self-supported DC bus. The performance of the active power filter can be enhanced by using soft computing techniques such as artificial neural network (ANN) controller and gravitational search algorithm (GSA) for generating control signals of the SAPF. The current reference is calculated to compensate source current THD with synchronous reference frame (SRF) technique with proportional integrator (PI) controller. From the result, it is evident that both the soft computing techniques reduce the computational time & fast convergence which improves the filter performance during the transient period and makes it self-tuned. The proposed structure is simulated using MATLAB/Simulink and subsequently experimentally verified. The presentation of the system is originated to be suitable for numerous features of power quality enhancement structure.

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An intelligent technique for optimal power quality reinforcement in a grid‐connected HRES system: EVORFA technique

Cited by 27 publications

References 45 publications

Power Quality Improvement in HRES Grid Connected System with FOPID Based Atom Search Optimization Technique

Power Quality Improvement in HRES Grid Connected System with FOPID Based Atom Search Optimization Technique

Power Quality Improvement Using Distributed Power Flow Controller with BWO-Based FOPID Controller

Performance enhancement of shunt active power filter using soft computing techniques

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