Power management scheme of DC micro-grid integrated with photovoltaic - Battery - Micro hydro power plant

Naik, K. Raghavendra; Rajpathak, Bhooshan; Mitra, Arghya; Sadanala, Chiranjeevi; Kolhe, Mohan Lal

doi:10.1016/j.jpowsour.2022.230988

Cited by 18 publications

(3 citation statements)

References 30 publications

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“…Naik et al [50] introduced the Supervised Power Management Scheme (SPMS) for sustained flow of power in a DC micro-grid. The suggested SPMS operated based on the Micro Hydro Power Plant (MHHP), which managed the flow between load transients in a loop experimental system.…”

Section: Applications Of Hydro and Tidal Energies Based On Machine Le...mentioning

confidence: 99%

A Review on Sustainable Energy Sources Using Machine Learning and Deep Learning Models

Bhansali,

Narasimhulu,

Pérez de Prado

et al. 2023

Energies

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Today, methodologies based on learning models are utilized to generate precise conversion techniques for renewable sources. The methods based on Computational Intelligence (CI) are considered an effective way to generate renewable instruments. The energy-related complexities of developing such methods are dependent on the vastness of the data sets and number of parameters needed to be covered, both of which need to be carefully examined. The most recent and significant researchers in the field of learning-based approaches for renewable challenges are addressed in this article. There are several different Deep Learning (DL) and Machine Learning (ML) approaches that are utilized in solar, wind, hydro, and tidal energy sources. A new taxonomy is formed in the process of evaluating the effectiveness of the strategies that are described in the literature. This survey evaluates the advantages and the drawbacks of the existing methodologies and helps to find an effective approach to overcome the issues in the existing methods. In this study, various methods based on energy conversion systems in renewable source of energies like solar, wind, hydro power, and tidal energies are evaluated using ML and DL approaches.

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Section: Applications Of Hydro and Tidal Energies Based On Machine Le...mentioning

confidence: 99%

A Review on Sustainable Energy Sources Using Machine Learning and Deep Learning Models

Bhansali,

Narasimhulu,

Pérez de Prado

et al. 2023

Energies

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“…Preliminary data are essential for developing micro-hydro-generating facilities. The capital, replacement costs, operation and maintenance expenses, lifetime of the hydro plant, head of hydro turbine, flow rate, and efficiency of the turbine are required data (Sami et al, 2020), (Naik et al, 2022). In HOMER Pro, all these data are utilized as input data, which helps to generate hydroelectricity-producing capacity.…”

Section: Micro-hydropower Generation Unitmentioning

confidence: 99%

A feasibility study on Balarbhita for advancing rural electrification with a solar—Micro-hydro hybrid system

Kanna

Singh

2022

Front. Energy Res.

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The study analyzed the techno-economic feasibility of a village in the Indian state of Assam and designs a framework for a rural hybrid energy system. Through an extensive resource evaluation, techno-economic feasibility analysis and system size optimization are carried out using HOMER Pro software. Batteries are being used as a form of energy storage in the community power system, which is based on solar PV and micro-hydro as its principal energy sources. Macro-economic variables and resource variations have been considered in sensitivity analysis to ensure the robustness and commercial viability of the proposed hybrid energy systems. A reliable and economical design can provide 279861 kWh of electricity for the village at a modest cost of energy (COE) of $0.0953/kWh using 118 kW of solar power, 11 kW of hydropower, and 261 kWh of battery storage. Furthermore, solar energy systems account for about 62.5 percent, while micro-hydro turbines account for 37.5 percent. In addition, the suggested system does not pollute the local environment caused by carbon emissions. Most importantly, this hybrid energy system is capable of providing 24/7 continuous electricity to the site under consideration.

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“…Hal ini menyebabkan rusaknya lapisan ozon yang berdampak kepada pemanasan global. Untuk mengatasi masalah ini sudah saatnya kita mengembangkan sumber energi yang dapat diperbaharuhi [7]- [9].…”

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Pengembangan Sumber Energi Terbarukan Di Indonesia Berbasis Mikro Hidro

Wardhani¹,

Santoso²,

aditya³

et al. 2023

Preprint

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Dengan harga minyak yang fluktuatif dan kebutuhan untuk mengurangi emisi gas rumah kaca, sumber energi terbarukan merupakan alternatif yang sangat menarik. Energi saat ini dibutuhkan lebih dari sebelumnya karena pertumbuhan penduduk, industrialisasi dan modernisasi. Tantangan seperti emisi karbon dioksida (CO2) dan menipisnya sumber energi konvensional memerlukan sumber terbarukan, di mana energi hidro tampaknya paling dapat diprediksi. Indonesia telah diakui sebagai negara dengan energi terbarukan yang melimpah, salah satunya adalah energi air. Air tersebut bisa dimanfaatkan untuk sumber energi pembangkit mikrohidro. Mikrohidro yang merupakan energi hidro dalam skala “kecil” menyediakan listrik bagi masyarakat kecil dengan mengubah energi hidro menjadi energi listrik [US4629904A]. Inovasi ini bisa dimanfaatkan pada daerah yang belum terjangkau kabel listrik, tetapi memiliki sumber air yang cukup.Kata Kunci: Energi Terbarukan; Mikrohidro; Listrik

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Power management scheme of DC micro-grid integrated with photovoltaic - Battery - Micro hydro power plant

Cited by 18 publications

References 30 publications

A Review on Sustainable Energy Sources Using Machine Learning and Deep Learning Models

A Review on Sustainable Energy Sources Using Machine Learning and Deep Learning Models

A feasibility study on Balarbhita for advancing rural electrification with a solar—Micro-hydro hybrid system

Pengembangan Sumber Energi Terbarukan Di Indonesia Berbasis Mikro Hidro

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