Sizing of renewable energy based hybrid system for rural electrification using grey wolf optimisation approach
Summary. This paper develops an optimization method for sizing hybrid renewable energy systems in rural villages. Using grey wolf optimization, researchers designed a solar, biomass, biogas, and battery system to provide reliable electricity to households in Haryana, India. The proposed approach outperformed existing optimization methods like harmony search and particle swarm optimization.
Cite this article
Anand, P., Rizwan, M., & Bath, S. K.. (2019). Sizing of renewable energy based hybrid system for rural electrification using grey wolf optimisation approach. IET Energy Systems Integration. https://doi.org/10.1049/iet-esi.2018.0053
Anand, Priyanka, et al. “Sizing of renewable energy based hybrid system for rural electrification using grey wolf optimisation approach.” IET Energy Systems Integration, 2019. https://doi.org/10.1049/iet-esi.2018.0053.
Anand, Priyanka, M. Rizwan, and S. K. Bath. 2019. “Sizing of renewable energy based hybrid system for rural electrification using grey wolf optimisation approach.” IET Energy Systems Integration. https://doi.org/10.1049/iet-esi.2018.0053.
@article{anand-2019-sizing-renewable-energy-based-hybrid,
title = {Sizing of renewable energy based hybrid system for rural electrification using grey wolf optimisation approach},
author = {Priyanka Anand and M. Rizwan and S. K. Bath},
journal = {IET Energy Systems Integration},
year = {2019},
doi = {10.1049/iet-esi.2018.0053},
url = {https://doi.org/10.1049/iet-esi.2018.0053}
}
TY - JOUR TI - Sizing of renewable energy based hybrid system for rural electrification using grey wolf optimisation approach AU - Priyanka Anand AU - M. Rizwan AU - S. K. Bath JO - IET Energy Systems Integration PY - 2019 DO - 10.1049/iet-esi.2018.0053 UR - https://doi.org/10.1049/iet-esi.2018.0053 ER -
Details
- DOI
- 10.1049/iet-esi.2018.0053
- Countries
- India
- Regions
- Asia
- Categories
- energy, regional-innovation-systems
- Added
- 2026-04-28