Optimal utilization of renewable energy sources in MG connected system with integrated converters: an AGONN Approach

Amirtharaj, S.; Premalatha, L.; Gopinath, Dinesh

doi:10.1007/s10470-019-01452-8

Cited by 16 publications

(8 citation statements)

References 35 publications

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“…Calculating the power produced by the PV screen requires equation (6), where S represents the temperature in Kelvin K is represented by the diode ideality component and the electron charge, respectively, R s is the series resistance, R P is it is shunt resistance, I ph is current, and V PV is cellular capacitance.…”

Section: Pv Modellingmentioning

confidence: 99%

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Enhancement of power quality in grid-connected HRES using UPQC with self-improved Battle Royal Optimizer in IEEE 14 bus system

Ranjan,

Choudhary

2023

Eng. Res. Express

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The integration of hybrid renewable energy systems (HRES) in grid-connected load systems has become popular due to its ability to enhance reliability and reduce losses. However, this integration can lead to power quality (PQ) issues caused by non-linear, critical, and unbalanced load conditions. To address these PQ issues and compensate for load demand in HRES systems, a new method called Self-Improved Battle Royal Optimizer (SI-BRO) has been proposed. This method involves the use of a Unified Power Quality Conditioner (UPQC) device, which is designed to improve the system’s PQ performance. To enhance the performance of the UPQC device, an optimized fuzzy logic controller is introduced in the series and shunt active power filter, and its parameters are optimized using the SI-BRO model. The proposed method is implemented in MATLAB/Simulink, and its effectiveness is evaluated through different scenarios in IEEE 14 Bus system. These scenarios include the introduction of a nonlinear load to create PQ issues, and the comparison of Sag, Swell, and fluctuation of proposed technique i.e. SI-BRO optimizer with BRO,HHO ,EHO optimizer and calculation of THD in proposed technique.In all cases of Sag,Swell, Fluctuation , the proposed techniques gives better results in comparison to BRO,HHO & EHO.

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Section: Pv Modellingmentioning

confidence: 99%

“…The system will experience an increase in Issues with PQ, including harmonics, swell, sag, disruptions, and delays. The distribution system's voltage level will be fluctuating due to PQ issues, which causes a tripping issue [6,7]. Voltage fluctuations among PQ issues are regarded as the primary issue within the electricity system.…”

Section: Introductionmentioning

confidence: 99%

Enhancement of power quality in grid-connected HRES using UPQC with self-improved Battle Royal Optimizer in IEEE 14 bus system

Ranjan,

Choudhary

2023

Eng. Res. Express

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“…Amirtharaj et al. 34 suggested the converter for usage of hybrid RES and minimize the switching loss of the system. Belabbas et al.…”

Section: Recent Research Work: a Brief Reviewmentioning

confidence: 99%

A hybrid approach for enhancing and optimizing the power quality and power flow in Smart Grid Connected System

Dsouza

Ananthapadmanabha

2022

Systems Engineering

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This article proposes a hybrid approach for power flow management and power quality (PQ) improvement in smart grid (SG) system. The proposed methodology is designed into two phases, power flow management is the first stage and power quality improvement is the second stage of the system. The key purpose of the proposed method is “to regulate that power flow depends on variation of source and load side parameters deliver the highest PQ.” The initial phase of power flow management is executed by using Improved Binary Sailfish Optimizer (IBSFO) approach. The control signal is recognized by the IBSFO approach against active and reactive power variation. The second phase of power quality enhancement is implemented by K2ORBFNN, which is the combination of Kho‐Kho optimization (KKO) and Radial Basis Function Neural Network (RBFNN). The gain parameter of the proportional integral (PI) controller is tuned based on load current, DC link, and voltage sources using K2ORBFNN approach. The prediction of optimal control signal minimizes the error which is obtained by RBFNN approach. The proposed method is utilized to attain compensating non‐linear load current harmonics, compensating reactive load power requirement, compensating unbalanced load current with neutral current. Finally, the performance of proposed system is executed in the MATLAB platform and performance is compared with existing techniques. The efficiency under the trails of 100, 200, 500, and 1000 attains 99.1673%, 99.4567%, 99.8402%, and 99.9879%.

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“…With all the subsequent points of the MDA the operation cost and also the replacement cost was decreased based on the predicted load demand with minimum annual fuel cost characteristics. Amirtharaj et al (2019) have introduced an efficient converter for the utilization of HRESs using hybrid technique. The introduced hybrid technique was the combination of adaptive grasshopper optimization algorithm (AGOA) and the artificial neural network (ANN) and hence it was said to be as AGONN technique.…”

Section: Recent Research Work: a Brief Reviewmentioning

confidence: 99%

“…Amirtharaj et al (2019) have introduced an efficient converter for the utilization of HRESs using hybrid technique. The introduced hybrid technique was the combination of adaptive grasshopper optimization algorithm (AGOA) and the artificial neural network (ANN) and hence it was said to be as AGONN technique.…”

Section: Recent Research Work: a Brief Reviewmentioning

confidence: 99%

Optimum utilization of grid connected hybrid renewable energy sources using hybrid algorithm

Muthusamy¹,

Meenakumari²

2020

Transactions of the Institute of Measurement and Control

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An optimal utilization of smart grid connected hybrid renewable energy sources is proposed in this paper. The hybrid technique is the combination of recurrent neural network and adaptive whale optimization algorithm plus tabu search, called AWOTS. The main objective is the RES optimum operation for decreasing the electricity production cost by hourly day-ahead and real time scheduling. Here, the load demands are predicted using AWOTS to develop the correct control signals based on power difference between source and load side. Adaptive whale optimization algorithm searching behaviour is adjusted by tabu search. The proposed technique is executed in the MATLAB/Simulink working platform. To test the performance of the proposed method, the load demand for the 24-hour time period is demonstrated. By then the power generated in the sources, such as photovoltaic, wind turbine, micro turbine and battery by the proposed technique, is analyzed and compared with existing techniques, such as genetic algorithm, particle swarm optimization and whale optimization algorithm. Furthermore, the state of charge of the battery for the 24-hour period is compared with existing techniques. Likewise, the cost of the system is compared and error in the sources also compared. The comparison results affirm that the proposed technique has less computational time (35.001703) than the existing techniques. Moreover, the proposed method is cost-effective power production of smart grid and effective utilization of renewable energy sources without wasting the available energy.

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Optimal utilization of renewable energy sources in MG connected system with integrated converters: an AGONN Approach

Cited by 16 publications

References 35 publications

Enhancement of power quality in grid-connected HRES using UPQC with self-improved Battle Royal Optimizer in IEEE 14 bus system

Enhancement of power quality in grid-connected HRES using UPQC with self-improved Battle Royal Optimizer in IEEE 14 bus system

A hybrid approach for enhancing and optimizing the power quality and power flow in Smart Grid Connected System

Optimum utilization of grid connected hybrid renewable energy sources using hybrid algorithm

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