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All Journal International Journal of Applied Power Engineering (IJAPE)
Panda, Babita
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Electrical & Electronics Engineering

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Combining solar panels with plants for sustainable energy and food production: state of the art Panda, Sampurna; Kumar, Rakesh; Panda, Babita; Panda, Bhagabat; Raj, Ashish
International Journal of Applied Power Engineering (IJAPE) Vol 13, No 2: June 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v13.i2.pp434-441

Abstract

The need for alternative energy sources becomes extensive because of the escalating cost of fossil fuels. The goal of this paper is to examine the effectiveness of combining photovoltaics and agriculture for better yield. Photovoltaic (PV) solar plants will compete with farms for available land. In this study, the methodologies are discussed how it is possible to maximize land utilization by placing solar arrays and food crops on the same plot of land. The term is proposed "agrivoltaic system" to describe this setup. Conventional solutions (discrimination of agricultural and energy extracting) were compared to two agrivoltaic schemes with varying density of PV arrays using land equivalent ratios. We utilized a crop model to simulate the amount of sunlight reaching the crop from an array of solar panels and to speculate on the yield reduction that would result from the partial shading. These early findings suggest that agrivoltaic systems may be highly effective; the two densities of PV panels were anticipated to boost worldwide land production by 73%. One possible explanation for the success of these hybrid systems is the presence of facilitation mechanisms analogous to those seen in agroforestry. At the end it is suggested that in places where arable land is rare, new solar plants may find it beneficial to produce both power and food.
Study of cuckoo search MPPT algorithm for standalone photovoltaic system Sahu, Jayanta Kumar; Panda, Babita; Sahu, Sudhakar
International Journal of Applied Power Engineering (IJAPE) Vol 13, No 3: September 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v13.i3.pp546-553

Abstract

The low operating and maintenance expenses of photovoltaic (PV) power generation make it a popular choice for rural power generation systems. Solar radiation, temperature, and load impedance are the major factors influencing the final output of solar PV. Consequently, the solar PV system experiences oscillations in its operation. These oscillations in the operating point pose a difficulty in transferring maximum power from the source to the load in an efficient way. A method called as “maximum power point tracking” is used to address this problem. This technique eliminates oscillations ensure that stability of operating point at the maximum power point. PV has several maximum power points (MPP) under partial shade situations, which is characterized by its non-linear features. As a result, it is challenging to find actual MPP. While tracking and collecting the maximum power from PV, the cuckoo search optimization (CSO) technique developed by biological intelligence is used in this article. The cuckoo search (CS) has several advantages, including a short tuning process that is efficient as well as fast convergence. The step-up converter steps up the voltage. In order to steady the converter, the counter variable is employed to provide delay. Resistive load is present.
Solar photovoltaic system fed water pumping system using BLDC motor with single input and multiple output converter Chaitanya, Kommera; Pradhan, Arjyadhara; Panda, Babita
International Journal of Applied Power Engineering (IJAPE) Vol 14, No 1: March 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijape.v14.i1.pp74-80

Abstract

In recent times energy based on renewable energy sources is a good long-term alternative compared with traditional fossil fuel energy sources solar photovoltaic model-based irrigation water pump systems have gained more popularity. The one-input and multi-output converters are focused on BLDC motor drive-based solar photovoltaic with water pump. To model one input and multiple output converter components are connected viz it achieves tracking purpose and BLDC drive soft starting. The one-input and multiple-output converter exhibits the features of all converters and remarkably appears with the converter in the application of solar photovoltaic systems. It describes performance under varying environmental and inspects the BLDC motor effective with the suggested single input and multiple output converter for solar photovoltaic with a water pump with 95% efficacy and the price is USD 0.6/W. Test results have confirmed the BLDC motor suitability for solar photovoltaic with water pump employing MATLAB Toolbox followed by the test result verification. It is simply developed for rural areas because it is low cost, simple, and low maintenance.
Co-Authors Chaitanya, Kommera Kumar, Rakesh Panda, Bhagabat Panda, Sampurna Pradhan, Arjyadhara Raj, Ashish Sahu, Jayanta Kumar Sahu, Sudhakar