Power flow management in micro grid through renewable energy sources using a hybrid modified dragonfly algorithm with bat search algorithm

In this paper, an efficient hybrid approach is presented for the power flow management of the HRES connected smart grid system. The novelty of the proposed approach is the combined execution of the MDA with BSA named as MDABSA technique. The main aim of the proposed strategy is to control the power...

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Published inEnergy (Oxford) Vol. 181; pp. 1166 - 1178
Main Authors Sureshkumar, K., Ponnusamy, Vijayakumar
Format Journal Article
LanguageEnglish
Published Oxford Elsevier Ltd 15.08.2019
Elsevier BV
Subjects
Bat search algorithm
Energy management
Energy sources
Mathematical models
Modified dragonfly algorithm
Multiple objective analysis
Objective function
Parameters
Power flow
Power flow management
Reactive power
Renewable energy sources
Search algorithms
Smart grid
Bat search algorithm
Renewable energy sources
Power flow management
Modified dragonfly algorithm
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Abstract In this paper, an efficient hybrid approach is presented for the power flow management of the HRES connected smart grid system. The novelty of the proposed approach is the combined execution of the MDA with BSA named as MDABSA technique. The main aim of the proposed strategy is to control the power flow based on the source side and load side parameters variations. In the proposed approach, the control signals of the voltage source are developed by the MDA based on the variety of power exchange between the source side and load side. Like that, the online control signals are located by the BSA procedure by utilizing the parallel execution against the active and reactive power varieties. The multi-objective function is shaped by the grid required active and reactive power varieties created based on the accessible source power. Here, the control parameters of the power controller are enhanced by the proposed technique based control models in light of the power flow varieties. Finally, the proposed model is executed in MATLAB/Simulink working platform and the execution is compared with the existing techniques. •Efficient approach for power flow management of grid connected HRES is introduced.•Proposed approach are Modified dragon fly algorithm-Bat search algorithm MDABSA.•MDABSA method ensures the efficient control performance between load and grid side.•Multi-objective function is shaped based on the accessible source power.•The proposed method is analyzed and compared with various techniques.
AbstractList In this paper, an efficient hybrid approach is presented for the power flow management of the HRES connected smart grid system. The novelty of the proposed approach is the combined execution of the MDA with BSA named as MDABSA technique. The main aim of the proposed strategy is to control the power flow based on the source side and load side parameters variations. In the proposed approach, the control signals of the voltage source are developed by the MDA based on the variety of power exchange between the source side and load side. Like that, the online control signals are located by the BSA procedure by utilizing the parallel execution against the active and reactive power varieties. The multi-objective function is shaped by the grid required active and reactive power varieties created based on the accessible source power. Here, the control parameters of the power controller are enhanced by the proposed technique based control models in light of the power flow varieties. Finally, the proposed model is executed in MATLAB/Simulink working platform and the execution is compared with the existing techniques. •Efficient approach for power flow management of grid connected HRES is introduced.•Proposed approach are Modified dragon fly algorithm-Bat search algorithm MDABSA.•MDABSA method ensures the efficient control performance between load and grid side.•Multi-objective function is shaped based on the accessible source power.•The proposed method is analyzed and compared with various techniques.
In this paper, an efficient hybrid approach is presented for the power flow management of the HRES connected smart grid system. The novelty of the proposed approach is the combined execution of the MDA with BSA named as MDABSA technique. The main aim of the proposed strategy is to control the power flow based on the source side and load side parameters variations. In the proposed approach, the control signals of the voltage source are developed by the MDA based on the variety of power exchange between the source side and load side. Like that, the online control signals are located by the BSA procedure by utilizing the parallel execution against the active and reactive power varieties. The multi-objective function is shaped by the grid required active and reactive power varieties created based on the accessible source power. Here, the control parameters of the power controller are enhanced by the proposed technique based control models in light of the power flow varieties. Finally, the proposed model is executed in MATLAB/Simulink working platform and the execution is compared with the existing techniques.
Author Ponnusamy, Vijayakumar
Sureshkumar, K.
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Renewable energy sources
Power flow management
Modified dragonfly algorithm
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Snippet In this paper, an efficient hybrid approach is presented for the power flow management of the HRES connected smart grid system. The novelty of the proposed...
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SubjectTerms Bat search algorithm
Energy management
Energy sources
Mathematical models
Modified dragonfly algorithm
Multiple objective analysis
Objective function
Parameters
Power flow
Power flow management
Reactive power
Renewable energy sources
Search algorithms
Smart grid
Title Power flow management in micro grid through renewable energy sources using a hybrid modified dragonfly algorithm with bat search algorithm
URI https://dx.doi.org/10.1016/j.energy.2019.06.029
https://www.proquest.com/docview/2266343312
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