Abstract
This paper proposes a configuration optimization technique for a remote microgrid considering renewable energy systems based on an improved artificial bee colony (IABC) algorithm. Typically, diesel generators are used to supply load demands to remote areas. This does not bring economic and environmental benefits in the context of fossil fuel resources being gradually depleted and environmental pollution problems increasing. The configuration optimization of the remote microgrid is based on a minimization of the cost of energy (COE) of the system. The considered renewable energy system includes wind turbine (WT) systems and solar photovoltaic (PV) systems. The obtained optimization results with the IABC algorithm are compared to those by using an artificial bee colony (ABC) algorithm, a genetic algorithm (GA), and a particle swarm optimization (PSO) algorithm. The comparisons confirm the effectiveness of the proposal.
| Original language | English |
|---|---|
| Title of host publication | 6th International Conference on Green Technology and Sustainable Development 2022 |
| Publisher | IEEE |
| Pages | 976-981 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781665466288 |
| DOIs | |
| Publication status | Published - 29 Dec 2022 |
| Event | 6th International Conference on Green Technology and Sustainable Development 2022 - Nha Trang City, Viet Nam Duration: 29 Jul 2022 → 30 Jul 2022 |
Conference
| Conference | 6th International Conference on Green Technology and Sustainable Development 2022 |
|---|---|
| Abbreviated title | GTSD 2022 |
| Country/Territory | Viet Nam |
| City | Nha Trang City |
| Period | 29/07/22 → 30/07/22 |
Keywords
- artificial bee colony algorithm
- configuration optimization
- remote microgrid
ASJC Scopus subject areas
- Artificial Intelligence
- Computer Science Applications
- Renewable Energy, Sustainability and the Environment
- Automotive Engineering
- Control and Optimization
- Development
- Transportation
