Recital analysis of multilevel cascade H-bridge based active power filter under load variation

Narasimhulu, V.; Kumar, D. V. Ashok; Babu, Ch. Sai

doi:10.1007/s42452-019-1669-8

Cited by 10 publications

(3 citation statements)

References 23 publications

(20 reference statements)

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“…Also, the grid-side inverter PWM signal can be used to regulate the system. It can be adopted to keep the DC link at a constant voltage [13][14][15][16][17], which will decouple the grid from power fluctuations caused by wind variations. The overall control method for the PMSG [1,4,[9][10][11][12] based wind energy power system is depicted in Figure 2.…”

Section: Modeling Of the Hybrid Generation Systemmentioning

confidence: 99%

PV and Wind Energy Conversion Exploration based on Grid Integrated Hybrid Generation Using the Cuttlefish Algorithm

Nagaraja¹,

Devaraju²,

Sankar³

et al. 2022

Eng. Technol. Appl. Sci. Res.

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This paper focuses on the exploration of grid-integrated hybrid generation comprising Photovoltaic (PV) and Wind Energy Conversion Systems (WECSs) using the Cuttlefish Algorithm (CFA). PV and wind energies are opposite because sunny days are normally calm, and strong winds frequently occur on cloudy days or at night. Hence, a hybrid PV and wind power system is more reliable than either individual source in terms of delivering uninterrupted power. The regulation of the DC voltage is the key issue in this configuration. The conventional PI controller is inaccurate in regulating the DC voltage. The PI controller gain tuning using optimization techniques provides good DC voltage regulation and less Total Harmonic Distortion (THD). Hence, CFA is proposed for the tuning of PI gains. The performance parameters such as DC voltage regulation and THD of CFA are analyzed.

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Section: Modeling Of the Hybrid Generation Systemmentioning

confidence: 99%

PV and Wind Energy Conversion Exploration based on Grid Integrated Hybrid Generation Using the Cuttlefish Algorithm

Nagaraja¹,

Devaraju²,

Sankar³

et al. 2022

Eng. Technol. Appl. Sci. Res.

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“…The learning strategy for microgrid reconnection has been described by C. Lassetter et al [16]. The performance analysis of a multilayer cascade H-bridge-based active power filter under load change was described by Narasimhulu et al [17]. Hui-Qiong Deng et al [18] discussed the safety and economics of the preventative control technique for cascading failures.…”

Section: Introductionmentioning

confidence: 99%

Cascade feedforward neural network and deep neural network controller on photovoltaic system with cascaded multilevel inverters: Comparison on standalone and grid integrated system

Mailugundla¹,

Tegampure²

2022

J. Mechatron. Electr. Power Veh. Technol.

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The introduction of a micro-grid-based power generation network will help to meet the demands of consumers while reducing environmental impact. Several industrialized and emerging countries allocate considerable resources to renewable energy-based power generation and invest significant sums of money in this area. This study examines the challenges involved with electricity generation through photovoltaic (PV) systems and the integration of the same with the grid to mitigate power quality issues and improve the power factor for various loading conditions. An innovative multilayer inverter for grid-connected PV systems has been developed to enhance the voltage profile and resulted in a drop in total harmonic distortion (THD). A cascade multilevel inverter (associated with a grid-integrated PV system and managed using multiple innovative artificial intelligence controllers) was developed in this research project. Various advanced intelligent controllers, such as cascade feedforward neural networks (CFFNN) and deep neural networks (DNN), have been analyzed under various operating situations and observed that the THD of voltage, current at the grid, and the load is less than 3 % as per the IEEE 519 standards along with this power factor is maintained nearly unity for the grid-connected system. The quality of power in terms of voltage, frequency, total harmonics distortion, and power factor are improved by using a novel deep neural network algorithm in a cascaded multilevel inverter and verified according to IEEE 1547 and IEEE 519 standards to determine the efficacy of the proposed system.

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“…Time analysis is used to evaluate the effectiveness of the GCSC and each thyristor-controlled series compensator (TCSC) in SSR reduction [14], [15]. Distribution static synchronous compensator (D-STATCOM) is used in the distribution system to reduce the amount of compensation required for active energy and harmonics [16]- [18]. An integrated PV matrix with auxiliary moisture control of a solar inverter is used for electrical control; it can act as a transition between day and night to increase temporary stability while simultaneously reducing power transmission costs.…”

mentioning

confidence: 99%

PV solar farm as static synchronous compensator for power compensation in hybrid system using Harris Hawks optimizer technique

Sudarsan

Sreenivasan

2022

IJPEDS

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<p>Nowadays, the power of impact elements and the proximity and defense areas exist and are increasing exponentially. To аlleviаte these рrоblems, renew the energy sоurсes suсh аs рhоtоvоltаiсs, wind power, and other things that are made to be taken. This is considered to be a night and night use of static synchronous compensator (STATСОM) to meet the release of lоаd. Sоlаr fаrm photovoltaic (РV) рrоduсes energy during the night and not completely trapped at night. During dаy, the inverter is used for normal operation and at midnight, it is used to meet load demand more efficiently by controlling voltage, current, active, and reactive power. The proposed strategy is validated in the MATLAB/Simulink software and compared with the existing schemes such as cat swarm optimization-particle swarm optimization (CSO-PSO) and tree seed algorithm (TSA) with recurrent neural network (RNN).</p>

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Recital analysis of multilevel cascade H-bridge based active power filter under load variation

Cited by 10 publications

References 23 publications

PV and Wind Energy Conversion Exploration based on Grid Integrated Hybrid Generation Using the Cuttlefish Algorithm

PV and Wind Energy Conversion Exploration based on Grid Integrated Hybrid Generation Using the Cuttlefish Algorithm

Cascade feedforward neural network and deep neural network controller on photovoltaic system with cascaded multilevel inverters: Comparison on standalone and grid integrated system

PV solar farm as static synchronous compensator for power compensation in hybrid system using Harris Hawks optimizer technique

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