Grass Hopper Optimization Algorithm for Off-Grid Rural Electrification of an Integrated Renewable Energy System
Summary. This paper develops an optimization algorithm to size integrated renewable energy systems for off-grid rural electrification. The Grasshopper Optimization Algorithm determines optimal combinations of solar panels, wind turbines, biomass generators, and battery storage to minimize power supply failures in remote microgrids. Testing shows the algorithm outperforms existing optimization methods in finding cost-effective system configurations.
Cite this article
Kumar, P. P., Nuvvula, R. S. S., & Manoj, V.. (2022). Grass Hopper Optimization Algorithm for Off-Grid Rural Electrification of an Integrated Renewable Energy System. E3S Web of Conferences. https://doi.org/10.1051/e3sconf/202235002008
Kumar, Polamarasetty P, et al. “Grass Hopper Optimization Algorithm for Off-Grid Rural Electrification of an Integrated Renewable Energy System.” E3S Web of Conferences, 2022. https://doi.org/10.1051/e3sconf/202235002008.
Kumar, Polamarasetty P, Ramakrishna S S Nuvvula, and Vasupalli Manoj. 2022. “Grass Hopper Optimization Algorithm for Off-Grid Rural Electrification of an Integrated Renewable Energy System.” E3S Web of Conferences. https://doi.org/10.1051/e3sconf/202235002008.
@article{kumar-2022-grass-hopper-optimization-algorithm-off,
title = {Grass Hopper Optimization Algorithm for Off-Grid Rural Electrification of an Integrated Renewable Energy System},
author = {Polamarasetty P Kumar and Ramakrishna S S Nuvvula and Vasupalli Manoj},
journal = {E3S Web of Conferences},
year = {2022},
doi = {10.1051/e3sconf/202235002008},
url = {https://doi.org/10.1051/e3sconf/202235002008}
}
TY - JOUR TI - Grass Hopper Optimization Algorithm for Off-Grid Rural Electrification of an Integrated Renewable Energy System AU - Polamarasetty P Kumar AU - Ramakrishna S S Nuvvula AU - Vasupalli Manoj JO - E3S Web of Conferences PY - 2022 DO - 10.1051/e3sconf/202235002008 UR - https://doi.org/10.1051/e3sconf/202235002008 ER -