Developing and Analysing a Photovoltaic (PV) Renewable Energy Source with Particle Swarm Optimization (PSO) Algorithm for Battery Management in Grid Environment Power Quality

Renewable energy is the most viable option for rural electrification due to its widespread availability. In the previous work balance between power generation and load power, with batteries serving as a backup source for both Photovoltaic (PV) and wind energy are having drawbacks such as maintains a...

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Published inSN computer science Vol. 5; no. 8; p. 1172
Main Authors Arulmurugan, V. S., Rajeswari, C., Bharathidasan, P., Balaji, K.
Format Journal Article
LanguageEnglish
Published Singapore Springer Nature Singapore 14.12.2024
Springer Nature B.V
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ISSN2661-8907
2662-995X
2661-8907
DOI10.1007/s42979-024-03549-y

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Abstract Renewable energy is the most viable option for rural electrification due to its widespread availability. In the previous work balance between power generation and load power, with batteries serving as a backup source for both Photovoltaic (PV) and wind energy are having drawbacks such as maintains a constancy between source and load request, even in the face of sudden changes in load and fluctuations in PV and wind power generation. To solve the problem micro grid comprising of a Photovoltaic (PV) array battery energy storage are developed in this work. One of the primary sources of renewable energy is photovoltaic energy, which can vary significantly depending on temperature, cell type, and irradiance levels. In wind power generation, the rotor's accessibility allows for the Doubly Fed Induction Generator (DFIG) to regulate the stator power, with the overall power being derived from the rotor. Maximum Power Point Tracking (MPPT) is based on Particle Swarm Optimization (PSO) and procedures the PV module's current output in relation to the battery voltage. It calculates the power maximum output of the element and changes optimum voltage for charging the battery with the maximum amount of power. In a hybrid system, there are two buses and AC bus and a DC bus, a single AC bus, with an AC/AC converter connecting the wind turbine and a DC/AC converter connecting the PV to the AC bus. The DC bus is used to connect sources with a DC current, while the AC bus is used for sources with an alternating current. This micro grid is simulated using MATLAB/Simulink tool and gain better power quality output.
AbstractList Renewable energy is the most viable option for rural electrification due to its widespread availability. In the previous work balance between power generation and load power, with batteries serving as a backup source for both Photovoltaic (PV) and wind energy are having drawbacks such as maintains a constancy between source and load request, even in the face of sudden changes in load and fluctuations in PV and wind power generation. To solve the problem micro grid comprising of a Photovoltaic (PV) array battery energy storage are developed in this work. One of the primary sources of renewable energy is photovoltaic energy, which can vary significantly depending on temperature, cell type, and irradiance levels. In wind power generation, the rotor's accessibility allows for the Doubly Fed Induction Generator (DFIG) to regulate the stator power, with the overall power being derived from the rotor. Maximum Power Point Tracking (MPPT) is based on Particle Swarm Optimization (PSO) and procedures the PV module's current output in relation to the battery voltage. It calculates the power maximum output of the element and changes optimum voltage for charging the battery with the maximum amount of power. In a hybrid system, there are two buses and AC bus and a DC bus, a single AC bus, with an AC/AC converter connecting the wind turbine and a DC/AC converter connecting the PV to the AC bus. The DC bus is used to connect sources with a DC current, while the AC bus is used for sources with an alternating current. This micro grid is simulated using MATLAB/Simulink tool and gain better power quality output.
ArticleNumber 1172
Author Arulmurugan, V. S.
Bharathidasan, P.
Balaji, K.
Rajeswari, C.
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SubjectTerms Advances in Computational Approaches for Image Processing
Algorithms
Alternating current
Alternative energy sources
Batteries
Cloud Applications and Network Security
Computer Imaging
Computer Science
Computer Systems Organization and Communication Networks
Data buses
Data Structures and Information Theory
Direct current
Distributed generation
Electric potential
Electrical loads
Electricity
Hybrid systems
Induction generators
Information Systems and Communication Service
Irradiance
Maximum power tracking
Optimization
Original Research
Particle swarm optimization
Pattern Recognition and Graphics
Photovoltaic cells
Power management
Radiation
Renewable energy sources
Rotors
Software Engineering/Programming and Operating Systems
Solar energy
Vision
Voltage
Wind power generation
Wind turbines
Wireless Networks
Title Developing and Analysing a Photovoltaic (PV) Renewable Energy Source with Particle Swarm Optimization (PSO) Algorithm for Battery Management in Grid Environment Power Quality
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