Planning and optimization of hybrid microgrid for reliable electrification of rural region
By: Kamal, Md Mustafa
.
Contributor(s): Imtiaz Ashraf.
Publisher: New York Springer 2022Edition: Vol.103(1), Feb.Description: 173-188p.Subject(s): Humanities and Applied SciencesOnline resources: Click here
In:
Journal of the institution of engineers (India): Series BSummary: The microgrid is an economical and feasible alternative to provide the electrification of current, and future scenarios as the depletion rate of conventional fuel are high. It is essential to optimize microgrid components, including batteries, to analyze the total system cost and reliability. In the present work, a rural microgrid is planned to integrate wind, solar, diesel generator, and battery systems. The remote region of Uttarakhand (India) selected for the techno-economic and feasibility analysis of the proposed microgrid. The planned objective is concerned with determining the least per unit cost of energy and viability of the model. The optimization algorithm is applied under different cases to check its effectiveness for optimal planning. The suggested framework can be considered as part of comprehensive energy management. The simulation results indicate the high potential of saving.
| Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
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Articles Abstract Database
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School of Engineering & Technology Archieval Section | Not for loan | 2022-1583 |
The microgrid is an economical and feasible alternative to provide the electrification of current, and future scenarios as the depletion rate of conventional fuel are high. It is essential to optimize microgrid components, including batteries, to analyze the total system cost and reliability. In the present work, a rural microgrid is planned to integrate wind, solar, diesel generator, and battery systems. The remote region of Uttarakhand (India) selected for the techno-economic and feasibility analysis of the proposed microgrid. The planned objective is concerned with determining the least per unit cost of energy and viability of the model. The optimization algorithm is applied under different cases to check its effectiveness for optimal planning. The suggested framework can be considered as part of comprehensive energy management. The simulation results indicate the high potential of saving.
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