An improved control strategy for charging solar batteries in off-grid photovoltaic systems

Chtita, Smail; Derouich, Aziz; Ghzizal, Abdelaziz El; Motahhir, Saad

doi:10.1016/j.solener.2021.04.003

Cited by 34 publications

(17 citation statements)

References 39 publications

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“…The MCU then gathers the parameters PVM V oc = 33.8 V, R pvm = 32 Ω, and R o = 40 Ω. First, the proposed algorithm calculates temperature T ≈ 60 • C according to Equation (13) and then obtains the parameter u = 7000 according to Equation (9). Second, it calculates irradiance level G ∼ = 0.2 kW/m 2 using Equation (7).…”

Section: Resultsmentioning

confidence: 99%

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A Novel Photovoltaic Module Quick Regulate MPPT Algorithm for Uniform Irradiation and Partial Shading Conditions

Liu

Lee

et al. 2021

Processes

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This study proposed a new photovoltaic module quick regulate (PVM-QR) maximum power point tracking (MPPT) algorithm, which can eliminate the disturbance problem of the hill-climbing (HC) algorithm, especially under low irradiance level and partial shading conditions (PSC). This proposed algorithm has the advantage that it only uses the detection photovoltaic module (PVM) impedance and the open-circuit voltage to simply and quickly calculate the PVM temperature, the irradiance level, and then the key factor parameter u. To achieve the MPPT quickly and accurately, this proposed algorithm is developed for the prediction of the best MPPT duty cycle based on the irradiance level, parameter u, and load. This study verified the proposed MPPT by the measurement results, where the HC algorithm MPPT has 95% efficiency at 0.55 kW/m2 but diverges at 0.2 kW/m2 under uniform irradiation conditions (UIC), and the proposed MPPT algorithm has an improved efficiency (99%) under the same conditions. Moreover, the proposed MPPT algorithm has 99% efficiency under PSC, while the HC algorithm MPPT’s efficiency is 66%. This study implemented a simple-design circuit with the proposed MPPT algorithm for UIC and PSC, where the actual experiment results can also verify that the proposed algorithm performs better than the HC algorithm.

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Section: Resultsmentioning

confidence: 99%

“…The photovoltaic module (PVM) used in the SPG is susceptible to the effects of temperature T and irradiance level G [7], thereby reducing system efficiency [8]. Therefore, this study focused on the research of the SPG maximum power point (MPP) [9]. The maximum power point tracking (MPPT) technique has been frequently used in SPG.…”

Section: Introductionmentioning

confidence: 99%

A Novel Photovoltaic Module Quick Regulate MPPT Algorithm for Uniform Irradiation and Partial Shading Conditions

Liu

Lee

et al. 2021

Processes

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“…Generally, the stored electrical energy is utilized during the period of off-sunshine hours, a cloudy and rainy season when solar radiations are not enough to generate the required electrical energy according to the demand. The application of batteries also depends on the type of solar PV project, for example, in the off-grid PV system, batteries are essential components because this type of system is a stand-alone system and it requires an electrical storage system to provide electrical energy during off sunshine hours at regular intervals, while in case of grid-associated solar PV system batteries are not an essential component because of grid playing the role of the distribution of electrical energy regularly 34 . There are only a few types of batteries available for application in solar PV power plants, like lead-calcium, lead-antimony, and nickel–cadmium.…”

Section: The Solar Pv Systemmentioning

confidence: 99%

Performance evaluation and financial viability analysis of grid associated 10 MWP solar photovoltaic power plant at UP India

Singh

Alharthi

Anand

et al. 2022

Sci Rep

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The main aim of this simulation work is to assess the financial possibility analysis of 10 MWP grid-associated solar photovoltaic (PV) power plants in seven cities i.e. Lucknow, Agra, Meerut, Gorakhpur, Kanpur, Allahabad, and Varanasi of Uttar Pradesh (UP) state of India with the RETScreen Software. The presented research work demonstrates the method of selection of profitable locations for solar PV power plants according to financial viability indicators. It is found that Allahabad city is the most profitable site with values of 16,686 MWh of electricity exported to the grid (EEG), US$20,896.30/year of electricity export revenue (EER), 9.4 years of simple payback period (SPP), 7.7 years of equity payback period (EPP), 19545.9 tCO2/year of GHG emission reduction, US$3492.82/year of the annual life cycle savings (ALCS), 1.5 benefit-cost (B-C) ratio, US$27394.59 of net present value (NPV), 16.5% internal rate of return on equity (IRR-equity), 12.3% modified internal rate of return on equity (MIRR-equity), 5.4% internal rate of return on assets (IRR-assets), and 7% modified internal rate of return on assets (MIRR-assets). The second most profitable site is found in Gorakhpur city and Varanasi city is found the least profitable site. The other two cities, Agra and Kanpur are not found suitable because of the negative values of NPV and ALCS.

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“…Solar energy is more abundant, most prominent, inexhaustible, and clean than the non-renewable energy sources. PV is the most exploited renewable energy source, alongside hydro and wind power, in terms of deployment speed, and it is considered a very promising source of future electrical power generation due to the abundance of sunlight over a large area of the earth's surface, allowing for a variety of PV system applications [3,4]. It also provides ongoing cost reduction over time, a reliable system, rapid technical growth, maintenance-free operation, and pollution-free operation [5].…”

Section: Introductionmentioning

confidence: 99%

Certainty-Equivalence-Based Sensorless Robust Sliding Mode Control for Maximum Power Extraction of an Uncertain Photovoltaic System

Alam

Khan

et al. 2022

Energies

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Photovoltaic (PV) arrays and their electronic converters are subject to various environmental disturbances and component-related faults that affect their normal operations and result in a considerable energy loss. Therefore, it is ever demanding to design such closed-loop operating algorithms that tolerate faults, present acceptable performance, and avoid wear and tear in the systems. In this work, the core objective is to extract maximum power from a PV array subject to environmental disturbances and plant uncertainties. The system is considered under input channel uncertainties (i.e., faults) along with variable resistive load and charging stations. A neuro-fuzzy network (NFN)-based reference voltage is generated to extract maximum power while considering variable temperature and irradiance as inputs. Furthermore, the estimated reference is tracked by the actual PV voltage under two types of controllers: certainty-equivalence-based robust sliding mode (CERSMC) and certainty-equivalence-based robust integral sliding mode (CERISMC). These strategies benefit from improving the robustness against faults (disturbances). The proposed methods use the inductor current, which is recovered via the velocity observer and the flatness property of nonlinear systems. The system’s stability is proven in the form of very appealing theorems. These claims are validated by the simulation results, which are carried out in a MATLAB environment.

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An improved control strategy for charging solar batteries in off-grid photovoltaic systems

Cited by 34 publications

References 39 publications

A Novel Photovoltaic Module Quick Regulate MPPT Algorithm for Uniform Irradiation and Partial Shading Conditions

A Novel Photovoltaic Module Quick Regulate MPPT Algorithm for Uniform Irradiation and Partial Shading Conditions

Performance evaluation and financial viability analysis of grid associated 10 MWP solar photovoltaic power plant at UP India

Certainty-Equivalence-Based Sensorless Robust Sliding Mode Control for Maximum Power Extraction of an Uncertain Photovoltaic System

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