Small scale wind &amp; solar photovoltaic energy conversion system for DC microgrid applications

Joshi, Siddharth; Karamta, Meera; Pandya, Bhavya

doi:10.1016/j.matpr.2022.01.461

Cited by 10 publications

(2 citation statements)

References 18 publications

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“…Over the past three decades, solar energy has become increasingly popular as one of the main renewable energy sources. Several strategies have been introduced to use sunlight as a source of energy in which sunlight can be converted into heat (solar-thermal energy conversion) [1], electricity (solar-photovoltaic energy conversion) [2], solar fuel (hydrogen) generated via photocatalytic water splitting [3,4], or sunlight chemicals, such as H 2 O 2 production [5]. It can also be used for CO 2 reduction [6] and ammonia synthesis [7].…”

Section: Introductionmentioning

confidence: 99%

A Robust Model Predictive Control for a Photovoltaic Pumping System Subject to Actuator Saturation Nonlinearity

et al. 2023

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In this paper, a new robust model predictive control (RMPC) for uncertain nonlinear systems subject to actuator saturation is designed to regulate the terminal voltage of a photovoltaic generator (PVG) that feeds a DC motor-pump via a buck DC–DC converter. The considered system is a combination of a PVG-converter and DC motor-pump, which possesses nonlinear behavior along with under a saturating control signal highly dependent on the operation point and climate conditions of solar radiation and temperature. As a result, the control task is complex due to the nonlinearity of the system and its dependence on climate conditions. Based on the dead-zone property, the presented paper introduces a new RMPC technique to provide an innovative and efficient solution to ensure the closed-loop system’s robust stability in the presence of actuator nonlinearity. In this paper, the nonlinear system is described in polytypic form, and an appropriate linear feedback control law is designed and used to minimize an infinite horizon cost function under the framework of linear matrix inequalities (LMIs). Furthermore, sufficient state-feedback control law conditions are synthesized to guarantee the robust stability of the closed-loop system in the presence of polytypic uncertainties. Simulation results are provided, in which the results illustrate the effectiveness of the proposed method.

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Section: Introductionmentioning

confidence: 99%

A Robust Model Predictive Control for a Photovoltaic Pumping System Subject to Actuator Saturation Nonlinearity

et al. 2023

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“…Solar energy is widely applied in photovoltaic systems due to its availability and cost, which is reduced because it does not require fossil fuel to function; furthermore, solar energy systems require simple maintenance, are easy to install and are beneficial for the environment (Joshi et al, 2022). Photovoltaic solar panels have a yield of less than 40%, depending on the type of solar panel, the solar irradiance of the area, the geographical location and other factors, such as solar tracking systems (Lai & McCulloch, 2017).…”

Section: Introductionmentioning

confidence: 99%

Solar Tracking System with Photovoltaic Cells: Experimental Analysis at High Altitudes

Larico

Canales-Gutiérrez

2022

Int. J. Renew. Energy Dev.

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There is currently an urgent need to study the application of solar energy to photovoltaic systems due to the need to produce electricity; indeed, maximizing the performance of solar energy promotes efficient and sustainable energy systems. The objective of this study was to determine the photovoltaic performance of a dual-axis solar tracker based on photovoltaic cells with different inclination angles at high altitudes above 3800 m.a.s.l. A solar tracking system activated by two linear actuators was implemented to automatically follow the trajectory of the sun during the day, and the results were compared with those from a fixed photovoltaic system. In addition, due to the climatic variation in the area, photovoltaic cells installed at different inclination angles were used to maximize electricity production and processed by a programmable logic controller (PLC). Finally, principal component analysis (PCA) was used to determine the factors that influenced the performance of the photovoltaic system during the experimental period. The results showed that the maximum monthly performance of the solar tracker was 37.63% greater than that of the fixed system, reaching 10.66 kWh/m2/d on sunny days in peak sun hours (PSH). On days with frequent rain and clouds, the partial yield was less than 14.38%, with energy production during PSH of 6.54 kWh/m2/d. Therefore, in this high-altitude area, the performance of the solar tracker was greater from July to October; from November to February, the performance was reduced due to the occurrence of rain.

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IoT-integrated smart energy management system with enhanced ANN controller for small-scale microgrid

Mariyaraj,

Thankappan

2024

Electr Eng

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Small scale wind & solar photovoltaic energy conversion system for DC microgrid applications

Cited by 10 publications

References 18 publications

A Robust Model Predictive Control for a Photovoltaic Pumping System Subject to Actuator Saturation Nonlinearity

A Robust Model Predictive Control for a Photovoltaic Pumping System Subject to Actuator Saturation Nonlinearity

Solar Tracking System with Photovoltaic Cells: Experimental Analysis at High Altitudes

IoT-integrated smart energy management system with enhanced ANN controller for small-scale microgrid

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