Integration of solar PV — Micro hydro power system for household application

Rajadurai, M. J.; Shaanmaadhuran, M.; Amaladoss, J. Vimal; Sankar, S.; Kirubakaran, V.

doi:10.1109/icaetgt.2017.8341457

Cited by 4 publications

(2 citation statements)

References 3 publications

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“…LEPP can be computed using (34) after the determination of the shortage of power supply using equation (35). For the straightforwardness of calculating the LEPP, in this study the equation ( 4) can be simplified into the following equation [49,65]:…”

Section: E Highest and Lowest Of Leppmentioning

confidence: 99%

“…When power is required, water is released directly to the sump into the MHT, which drives the generator. e authors have outlined the benefits of the proposed system, that is, inexhaustibility, eco-friendliness, and natural regeneration [34]. Syahputra and Soesant proposed micro-hydro/solar photovoltaic amalgamated system for rustic areas in Yogyakarta, Indonesia.…”

Section: Introductionmentioning

confidence: 99%

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Potential of a Nonperennial Tributary Integrated with Solar Energy for Rural Electrification: A Case Study of Ikukwa Village in Tanzania

Mwakitalima

Rizwan

Kumar

2022

Mathematical Problems in Engineering

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This study evaluates the hydropower potential in the design of a micro-hydro/solar photovoltaic hybrid system with battery energy storage for increasing the access to electricity in Ikukwa Village in Mbeya Region of Tanzania. Usually, hybridized hydropower schemes are designed from perennial streams for the provision of electricity. This study incorporates the run-of-the river (COE) power scheme, which originates from the untapped potential of nonperennial hydro-energy source and the use of traditional approach of data measurements for Ikata tributary to design hybrid system. The system is optimized by the minimization of the total net present cost (NPC) and cost of energy (COE) using the soft computing method of Hybrid Optimization of Multiple Energy Resources (HOMER) software and artificial intelligent (AI) techniques. AI optimization techniques such as particle swarm optimization (PSO), grey wolf optimization (GWO), and GWO-PSO hybrid (GWO-PSOHD) algorithms have been employed for further optimal results. The data for solar radiation and the tributary have been obtained from the National Aeronautics and Space Administration (NASA) and traditional methods of measurements, respectively. The estimated maximum water flow rate and head are 2.943 m3/s and 13 m, respectively. In the same period, the approximated theoretical power potential of the tributary is found to be 375 kW. Total NPCs obtained from HOMER, PSO, GWO, and GWO-PSOHD methods are $ 141, 397.76, $ 95 167.21, $ 92 472.82, and $ 91,854.10, respectively. Similarly, the optimal results of COE from HOMER, PSO, GWO, and GWO-PSOHD approaches are $ 0.1818/kWh, $ 0.1185/kWh, $ 0.1182/kWh, and $ 0.1181/kWh, respectively. Comparatively, PSO implementation has indicated the greatest energy cost, while the cost acquired by GWO-PSOHD is the lowest for all aforementioned AI optimization techniques. The tributary under study has a high potential of diversification of energy sources for rural electrification in the area of study and other parts of the world with comparable conditions.

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