Abstract
The aim of this study is to introduce a comprehensive comparison of various energy management strategies of fuel cell/supercapacitor/battery storage systems. These strategies are utilized to manage the energy demand response of hybrid systems, in an optimal way, under highly fluctuating load condition. Two novel strategies based on salp swarm algorithm (SSA) and mine-blast optimization are proposed. The outcomes of these strategies are compared with commonly used strategies like fuzzy logic control, classical proportional integral control, the state machine, equivalent fuel consumption minimization, maximization, external energy maximization, and equivalent consumption minimization. Hydrogen fuel economy and overall efficiency are used for the comparison of these different strategies. Results demonstrate that the proposed SSA management strategy performed best compared with all other used strategies in terms of hydrogen fuel economy and overall efficiency. The minimum consumed hydrogen and maximum efficiency are found 19.4 gm and 85.61%, respectively.
| Original language | English |
|---|---|
| Pages (from-to) | 6110-6126 |
| Number of pages | 17 |
| Journal | International Journal of Hydrogen Energy |
| Volume | 46 |
| Issue number | 8 |
| DOIs | |
| State | Published - 29 Jan 2021 |
Keywords
- Battery
- Energy management
- Fuel cell
- Hydrogen consumption
- Optimization
- Supercapacitor
