Design of a standalone PV system for the all-weather condition: A practical approach

Ballaji, Adithya; Dash, Ritesh; H., None Rajini; Bharat, Manish; Pavan, B.

doi:10.1063/5.0092260

Cited by 2 publications

(4 citation statements)

References 15 publications

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“…In terms of discussing the merits of the presented solution, a multi-aspect comparison is addressed with the published research of [9,15,16,22,24,25]. In comparison, many sides are considered to have an accurate evaluation to this presented study.…”

Section: Simulation Results Analysis and Discussionmentioning

confidence: 99%

“…On the other hand, a simple structure of ANN algorithm is proposed with a good MSE value to guarantee the maximum level of harvested power. In terms of discussing the merits of the presented solution, a multi-aspect comparison is addressed with the published research of [9,15,16,22,24,25]. In comparison, many sides are considered to have an accurate evaluation to this presented study.…”

Section: Simulation Results Analysis and Discussionmentioning

confidence: 99%

“…Based on that, the researchers focused on proposing different algorithms to guarantee accurate and fast tracking to the Maximum Power Point (MPP). Regardless of the type of PV system, whether it is a standalone or grid-connected system, guaranteeing MPP tracking condition maximizes the level of harvested energy from the incident sunlight [10][11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28]. The proposed algorithms have different characteristics, including both pros and cons, in terms of response speed, tracking accuracy, and oscillation at steady state conditions.…”

Section: Introductionmentioning

confidence: 99%

“…Artificial Intelligence (AI) represented by ANN algorithm is a machine learning algorithm, which works by manipulating the data of input variables to have an accurate prediction for the missed values of the required variables. ANN is playing an effective role for the objective of guaranteeing MPPT in PV system applications by controlling different types of DC-DC converters [16][17][18][19][20][21][22][23].…”

Section: Introductionmentioning

confidence: 99%

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Efficient Photovoltaic Unit for Power Delivering to Stand-Alone Direct Current Buildings Using Artificial Intelligence Approach Based MPP Tracker

Attia,

Delama

2023

Sustainability

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There are many remote buildings that cannot be supplied by alternating electricity of the utility grid. Due to this, this study proposes adopting Direct Current (DC) appliances for a stand-alone remote building. Direct Current can be supplied from a suitable photovoltaic array which can harvest renewable solar energy. This proposal guarantees an efficient power system by removing the necessity of including an inverter, power filter, insulation transformer, and a complicated controller, which are usually needed for producing Alternating Current (AC) power to feed AC loads using a PV system. When the proposal is applied, the PV system will be more efficient, simple, affordable, and more compact. A detailed power requirement calculation for a typical house uses DC appliances, generalized steps to design a suitable PV array, and an Artificial Neural Network (ANN) algorithm for guaranteeing Maximum Power Point Tracking (MPPT); all of which are introduced for remote buildings. The main contribution of this paper is proposing an integrated design of a DC unit of 11 kW·h PV system for stand-alone buildings that eliminates three stages that improves the system performance compared to AC unit. The introduced study includes PV array calculation based on PV module of 220 W with an intelligent algorithm of four layers. The Mean Squared Error (MSE) of the proposed ANN equals 2.7107 × 10−5 to guarantee a fast and accurate MPP tracking for continuously harvesting maximum power from the incident sunlight. An energy storage unit of 12 batteries 12 V/150 Ah of matrix dimensions 3 × 4 is designed in the DC unit for energy saving to feed the DC appliances during night hours. MATLAB/Simulink Version R2015b is used to simulate the introduced DC power unit and collect the testing records for analyzing the unit performance.

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Section: Simulation Results Analysis and Discussionmentioning

confidence: 99%

Section: Simulation Results Analysis and Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Efficient Photovoltaic Unit for Power Delivering to Stand-Alone Direct Current Buildings Using Artificial Intelligence Approach Based MPP Tracker

Attia,

Delama

2023

Sustainability

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Smart Switching Power Supply System for Evaporative Air Coolers

Almarzouq

Al-Somali

Al-Abdulkarim

et al. 2022

Glob. J. Energ. Technol. Res. Updat.

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The energy consumption by residential air conditioners could cost about half of the total energy consumption of the building. A combination of conventional and renewable energy is still an emerging technology. Therefore, using solar photovoltaic panels to provide electricity to the air conditioner is a substantial application. This research shows the possibility of using photovoltaic panels as a power source for air conditioners in a sequence exchange with the conventional grid. A smart switching system has been offered to organize the power supply between the grid and solar panels. The photovoltaic panels have been connected to the conditioner across a power inverter module for adopting a reliable and accurate quantity of power supply to the conditioner unit. The smart switching system provides an intelligent connection between the solar power source and the grid, ensuring an uninterrupted electricity supply between the two power sources.

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Design of a standalone PV system for the all-weather condition: A practical approach

Cited by 2 publications

References 15 publications

Efficient Photovoltaic Unit for Power Delivering to Stand-Alone Direct Current Buildings Using Artificial Intelligence Approach Based MPP Tracker

Efficient Photovoltaic Unit for Power Delivering to Stand-Alone Direct Current Buildings Using Artificial Intelligence Approach Based MPP Tracker

Smart Switching Power Supply System for Evaporative Air Coolers

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