Battery Charging Optimization of Solar Energy based Telecom Sites in India

Dhaked, Dheeraj Kumar; Gopal, Yatindra; Birla, Dinesh

doi:10.48084/etasr.3121

Cited by 23 publications

(7 citation statements)

References 14 publications

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“…Battery state of charge and power [18][19][20][21] at each simulation time is formulated as follows:…”

Section: Scientific Models Of Microgrid Technologiesmentioning

confidence: 99%

Optimal Electrification Using Renewable Energies: Microgrid Installation Model with Combined Mixture k-Means Clustering Algorithm, Mixed Integer Linear Programming and Onsset Method

Moyème,

Yao,

Sedzro

et al. 2024

Preprint

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Optimal planning and design of microgrids is a priority for electrification of off-grid areas. Indeed, according to one of the Sustainable Development Goals (SDG) 7, the UN recommends universal access to electricity for all but, at the lowest cost. To achieve this goal, several optimization methods with different strategies have been proposed in the literature. This paper proposes a microgrid installation and planning model based on a combination of several techniques. Python 3.10, the programming language, has been used in conjunction with machine learning techniques such as unsupervised learning based on K-means clustering and deterministic optimization methods based on mixed linear programming. These methods were complemented by the open-source spatial method for optimal electrification planning: onsset. The results obtained enabled us to simulate the model obtained, with a cluster considered as a case study, based on the elbow and k-means clustering method; then, in a second phase, to size the microgrid with a capacity of 40 kW, by optimizing all the resources available on the site: the example of the various resources in the case of Togo was considered (solar, wind, hydropower). This study therefore highlighted the optimal resources obtained by integrating battery systems by the optimization model formulated on the basis of the various technology costs, such as investment, maintenance and operating costs, based on the technical limits of the various technologies. For the optimum results obtained, solar systems account for 80% of the maximum load considered, compared with 7.5% for wind systems and 12.5% for battery systems. Next, an optimal microgrid connection model was proposed, based on the constraints of a voltage stability limit estimated at 10% of the maximum voltage drop. The substation capacity limit was also taken into account. The results obtained from the case studied enabled us again, to present selective results for load nodes in relation to the substation node. And finally, the spatial technology planning tool made it possible to obtain results on the different strategies for the various technologies required for the electrification planning study of the Togo case. The various results obtained from the different techniques provide the leads needed for a feasibility study for optimal electrification of off-grid areas, using microgrid systems.

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“…Battery state of charge and power [18][19][20][21] at each simulation time is formulated as follows:…”

Section: Scientific Models Of Microgrid Technologiesmentioning

confidence: 99%

Optimal Electrification Using Renewable Energies: Microgrid Installation Model with Combined Mixture k-Means Clustering Algorithm, Mixed Integer Linear Programming and Onsset Method

Moyème,

Yao,

Sedzro

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…From the above results of both simulation and experimental work, it can be stated that the proposed closed loop approach shows superior performance over the traditional scheme for improving multiple important practical aspects of qZSI under isolated variable loading conditions. Therefore, the inverter with proposed control logic can be used for supplying AC load powers from DC microgrid and other applications [23,24]. Table 6 presents comparative performances.…”

Section: Simulation Studymentioning

confidence: 99%

Adaptive shoot-through duty ratio control methodology of stand-alone quasi Z-source inverter

Gayen,

Dhara,

Das

et al. 2023

Eng. rev. (Online)

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This paper presents an adaptive shoot-through duty ratio control methodology for a stand-alone three-phase quasi-Z-source inverter (qZSI). In practice, variable active and reactive load powers must be met by a qZSI-based stand-alone system. In this context, existing shoot-through control schemes for qZSI adjust the capacitor voltage or DC-link voltage at a fixed reference value. This causes extra voltage stresses on switches, high distortions, and an operating range reduction of the power inverter under variable load demands. On the contrary, the proposed shoot-through control scheme adjusts the shoot-through duty ratio adaptively based on load voltage feedback to improve performances. In this logic, the controllable shoot-through duty ratio facilitates various improved features in comparison to conventional schemes under load power variations. These features include reduced voltage stress across the switches, reduced distortions, and an extended operating range. The suggested proportional-integral (PI)-based scheme has a single control loop with a single measured quantity, i.e., sensing of load voltage only. The proposed concept has been verified via both simulation and experimental studies.

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“…A PV array, FC, and public grid is available with PEC in microgrid. Modeling helps to obtain operational characteristics of connected components for the easy integration of the components and energy flow analysis (24,25) . The electric bike charging at the output side is modeled as Li-Ion batteries for the computation of parameters.…”

Section: Solar Powered Charging Station (Mathematical Modeling)mentioning

confidence: 99%

Microgrid Designing for Electrical Two-Wheeler Charging Station Supported by Solar PV and Fuel Cell

Dhaked¹,

Birla²

2021

IJST

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Background/Objectives: One of the main objectives of this work is to design a microgrid for charging station of electric two-wheelers, which contains a public grid, fuel-cells (FCs) & solar PV plants as power sources. Methods/Statistical analysis: This work has used 6 kW Proton Exchange Membrane Fuel-Cells (PEMFC) and 6 kW solar PV plant with electric grid as a power source to incorporate a microgrid. The charging of EV battery is tested during different modes of operations and compared to each other. Findings: This paper describes that microgrid is eco-friendly and the use of solar PV & FCs in microgrid systems makes it more reliable & environment sustainable with power-efficient technologies simulated with MATLAB Simulink. Novelty/Applications: The proposed arrangement helps to create an efficient, low-cost, locally resilient microgrid. This will reduce the dependency on the electric grid during peak load time which is an imminent concern in cosmopolitan cities and which is novel contribution of this paper. This arrangement is also helpful when grid power is unavailable. The model was found to be satisfactorily charging the batteries used for two-wheeler and the charging rates of each method are compared to one another.

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Battery Charging Optimization of Solar Energy based Telecom Sites in India

Cited by 23 publications

References 14 publications

Optimal Electrification Using Renewable Energies: Microgrid Installation Model with Combined Mixture k-Means Clustering Algorithm, Mixed Integer Linear Programming and Onsset Method

Optimal Electrification Using Renewable Energies: Microgrid Installation Model with Combined Mixture k-Means Clustering Algorithm, Mixed Integer Linear Programming and Onsset Method

Adaptive shoot-through duty ratio control methodology of stand-alone quasi Z-source inverter

Microgrid Designing for Electrical Two-Wheeler Charging Station Supported by Solar PV and Fuel Cell

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