Three-Phase Grid-Interactive Solar PV-Battery Microgrid Control Based on Normalized Gradient Adaptive Regularization Factor Neural Filter

Shubhra, Shubhra; Singh, Bhim

doi:10.1109/tii.2019.2937561

Cited by 46 publications

(20 citation statements)

References 26 publications

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“…Not only comprehensively expounds the theory and practice of the music education system but also more profoundly expounds the local development of the music education system [ 14 ]. Shubhra and Singh introduced an adaptive change factor in the teaching stage, learned from the optimal individual in the early stage, and maintained its own state better in the later stage, thereby maintaining the diversity of the population [ 15 ]. Shi and Dance's research put forward a body rhythm music teaching model that conforms to the law of development [ 16 ].…”

Section: Related Workmentioning

confidence: 99%

[Retracted] Emotional Expression and Playing Psychology in Accordion Playing under Complex Audio Background Environment

Wen

2022

Journal of Environmental and Public Health

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Accordion performance is an emotional art, and the generation of emotions is inseparable from human psychological activities. It has a great relationship with the performance of music and has a great impact on the performance of the performance. The performance of the accordion is a process of psychological perception, understanding, imagination, experience, and emotion. It not only shows the true creative intention and emotion of the “original work” but also integrates it into the individual characteristics of the individual. In the creation, the true artistic vitality is given to each note, thereby enriching the musical composition, thus showing its unique charm. Therefore, this paper proposes a study on the emotional expression and playing psychology of accordion playing. In the end, the performance of class A students was significantly better than that of class B students, while more students in class B scored within 50-60 points, more students in class A scored within 90-100 points, therefore, the contrast is large. The average score of class A students is 80.125, and the average score of class B students is 71.45. The highest score for A can be as high as 98, the lowest score is 58, and the lowest score in class B is 51. It can be seen that having a high performance psychological quality and the ability to express emotions can achieve a good effect on accordion performance.

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Section: Related Workmentioning

confidence: 99%

[Retracted] Emotional Expression and Playing Psychology in Accordion Playing under Complex Audio Background Environment

Wen

2022

Journal of Environmental and Public Health

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“…The GAVS‐LMS algorithm is given as: 22,23

Z_{italictx} (n + 1) = Z_{italictx} (n) + γ_{italictx} (n) \times e_{italictx} (n) \times u_{italictx} (n),

where

Z_{italictx} (n + 1)

is the updated weight, and

u_{italictx} (n)

is unit template.

γ_{italictx} (n)

is the variable step size which depends on the constant value of

λ

, mean square error and unit template.

e_{italictx} (n) = i_{italicLx} - Z_{italictx}^{T} (n) \times u_{italictx} (n) .

…”

Section: Control Algorithmsmentioning

confidence: 99%

“…In reference 22, fuzzy logic control is implemented to incorporate the charging/discharging operation of the battery within its safe limit to avoid overcharging and discharging. A normalized gradient adaptive regularization factor neural filter‐based current control is proposed for the grid‐interactive operation of the battery‐based microgrid in reference 23. This technique is developed to track the fundamental component of the load current.…”

Section: Introductionmentioning

confidence: 99%

Integration of multi voltages, multi electric vehicle spots based three phase photovoltaic array charging station to the modern distribution grid with improved electric vehicle charging capability and power quality

Jaraniya

Kumar

2022

Intl J of Energy Research

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This paper proposes the solar photovoltaic (PV) array-based three-phase modern grid integrated multi-voltage and multi electric vehicles (EVs) spots-based charging station (CS). It provides the charging spot of the EVs as per the required voltage level of the EVs battery. The presented CS is multifunctional. Besides, the EV charging capability, it also mitigates the power quality issues due to EVs and nonlinear loads tied at the point of common coupling (PCC). The voltage source converter (VSC) control is developed using the gradient adaptive variable step least mean square (GAVS-LMS) based technique. The presented control extracts the fundamental weight of load current to improve the operation of grid integrated charging stations and the power quality issues.The DC bus voltage is stabilized through the bidirectional converter using the cascaded proportional-integral (PI) control under heavy multi-voltage EV loads. As the charging station is subjected to heavy multi-voltage EV loads, which causes the unstable operation of the CS. Therefore, the small-signal modeling and stability analysis is also carried out in charging/discharging modes. The vehicle to the grid (V2G) and grid to vehicle (G2V) mode transfer are also carried out. These operations are also shown with and without the availability of solar PV generation. The efficacy of the presented CS and its controllers are tested with simulated as well as Opal-RT workbench based experimental results.

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“…A battery is integrated into the power system shown in Figure 2 not only to mitigate PV power fluctuations before being transferred to the grid but, more importantly, to save PV excess energy for later use. In other words, without a storage device, the only possible energy exchange strategy is to transfer the excess (deficit) PV power to (from) the grid [19]. In this study, a lead-acid battery [20] with a total capacity of 10 kWh and a nominal voltage of 24 V is used for simulation purposes.…”

Section: Battery Storage and Charge Controllermentioning

confidence: 99%

Optimal energy management for PV‐integrated residential systems including energy storage system

Varzaneh

Raziabadi

Hosseinzadeh

et al. 2021

IET Renewable Power Gen

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Economic profit is the main incentive for PV-integrated residential prosumers, so energy management algorithms play a key role in these systems. The main priority of conventional rule-based energy management systems (REMS) is to supply the demand. As a result, the total amount of energy sold to the distribution network, and consequently the user profit in such systems, is not considerable. This study proposes a smart energy management system (SEMS) for optimal energy management in a grid-connected residential photovoltaic (PV) system, including battery as an energy storage unit. The proposed method, which is simulated by MATLAB, using real values for load and PV characteristics, will result in achieving an economic plan for battery operation based on a discretised state of charge of the battery. Experimental tests, carried out to verify the simulation results, demonstrate a noticeable increase in the prosumer benefits as well as the load profile correction compared to the classic energy management algorithms. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Three-Phase Grid-Interactive Solar PV-Battery Microgrid Control Based on Normalized Gradient Adaptive Regularization Factor Neural Filter

Cited by 46 publications

References 26 publications

[Retracted] Emotional Expression and Playing Psychology in Accordion Playing under Complex Audio Background Environment

[Retracted] Emotional Expression and Playing Psychology in Accordion Playing under Complex Audio Background Environment

Integration of multi voltages, multi electric vehicle spots based three phase photovoltaic array charging station to the modern distribution grid with improved electric vehicle charging capability and power quality

Optimal energy management for PV‐integrated residential systems including energy storage system

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