IRJEAS

Volume 10 Issue 2                          April-June 2022

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Maximum Power Tracking of a Solar System using Improved Particle Swarm Optimization Algorithm 

 10.55083/irjeas.2022.v10i02004

Country- INDIA

 Palwinder Singh, Manpreet Kaur, Dr. Naveen Dhillon

PAPER ID: IRJEAS04V10I204220622000004

Published: 6 May 2022

Journal: IRJEAS, Volume 10, Issue 2

Pages: 09-15

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Abstract: For photovoltaic systems to be more efficient, maximum power point (MPP) tracking of the solar arrays is necessary. The output power of solar arrays is influenced by two factors: temperature and solar irradiation. It is also possible that a traditional MPP tracker would operate incorrectly because to the mismatch effect produced by partial shadow. There are many maximum values for the solar array power–current characteristics when it is partly shaded. For PV systems in partly shadowed conditions, this research provides an MPPT approach with enhanced particle swarm optimization algorithm….

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Palwinder Singh, Manpreet Kaur, Dr. Naveen Dhillon. Maximum Power Tracking of a Solar System using Improved Particle Swarm Optimization Algorithm. International Research Journal of Engineering & Applied Sciences, (IRJEAS). 10(2), pp. 09-15, 2022. https://doi.org/10.55083/irjeas.2022.v10i02004.

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Bumble Bee Optimization Algorithm based Optimized Data Hiding for Image Steganography 

 10.55083/irjeas.2022.v10i02005

Country- INDIA

 Inderjeet Singh, Sarabjeet Kaur

PAPER ID: IRJEAS04V10I204220622000005

Published: 6 May 2022

Journal: IRJEAS, Volume 10, Issue 2

Pages: 16-22

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Abstract: The most important aspect of all forms of confidential communication is security. Although cryptography can be used to safeguard information, it also reveals the presence of covert communication. As a result, steganography, the art of secret communication, was devised. Steganography conceals the presence of covert communication by putting the secret information in a cover image. The inserting process generates the variability in the cover image that negatively impact the imperceptibility parameter. In order to enhance the imperceptibility parameter, bumble bee optimization algorithm based optimized data hiding method is proposed in this paper. The bumble bee optimization algorithm searches the optimal secret data order before data hiding. After determining the optimal secret data order, the data hiding is …

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Inderjeet Singh, Sarabjeet Kaur. Bumble Bee Optimization Algorithm based Optimized Data Hiding for Image Steganography. International Research Journal of Engineering &Applied Sciences, (IRJEAS). 10(2), pp. 16-22, 2022. https://doi.org/10.55083/irjeas.2022.v10i02005.

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A Privacy-Preserving Method for Smart Grid Data using Swarm Intelligence Algorithm

10.55083/irjeas.2022.v10i02006

Country- INDIA

 Mukesh Kumar, Puneet Jain, Ajay Kumar

PAPER ID: IRJEAS04V10I204220622000006

Published: 29 May 2022

Journal: IRJEAS, Volume 10, Issue 2

Pages: 23-32

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Abstract: Users’ electricity use may be shared nearly instantly with utilities companies on the smart grid due to Smart Meters (SMs). The data is communicated between individuals in the company, which has prompted privacy issues. In this paper, a privacy-preserving method for smart meter data is designed using a swarm intelligence algorithm. In the swarm intelligence algorithm, JAYA algorithm is taken under consideration and deployed for key generation in the planned method. After that, an XOR operation was performed between the smart meter sensitive data and key generated using a JAYA algorithm for encryption purposes. In MATLAB, numerous performance metrics are computed for the planned technique’s performance evaluation. From Simulation results it is clear that the planned method gives better results as compared to the previous methods.

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Mukesh Kumar, Puneet Jain, Ajay Kumar. A Privacy-Preserving Method for Smart Grid Data using Swarm Intelligence Algorithm. International Research Journal of Engineering & Applied Sciences, (IRJEAS). 10(2), pp. 23-32, 2022. https://doi.org/10.55083/irjeas.2022.v10i02006.

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Maximum Power-Point Tracking of a Photovoltaic System using Hybrid Combination of GA-PSO Algorithm and PID Controller

 10.55083/irjeas.2022.v10i02007

Country- INDIA

 Vseem Zahir, Puneet Jain

PAPER ID: IRJEAS04V10I204220622000007

Published: 21 June 2022

Journal: IRJEAS, Volume 10, Issue 2

Pages: 33-41

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Abstract: Maximum power point tracking (MPPT) techniques are considered a crucial part in photovoltaic system design to maximise the output power of a photovoltaic array. PID controllers are deployed in the photovoltaic system to track the maximum power point. The performance of the PID controller is influence by controlling parameters. In this paper, we have calculated the optimal parameter values of PID controller using the hybrid combination of GA-PSO algorithm. The proposed method Simulink is designed in MATLAB. After that, various parameters such as settling time, rise time, overshoot, peak time, undershoot, rotor speed, and power generated. The results show that the proposed method provides lower undershoot and settling time as compared to the existing method.

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Vseem Zahir, Puneet Jain. Maximum Power-Point Tracking of a Photovoltaic System using Hybrid Combination of GA-PSO Algorithm and PID Controller. International Research Journal of Engineering & Applied Sciences, (IRJEAS), 10(2), pp. 33-41, 2022.  https://doi.org/10.55083/irjeas.2022.v10i02007.