Abstract
This paper presents a methodology for the capacity optimization of a residential stand-alone microgrid employing solar photovoltaics (PVs), wind turbines (WTs), battery energy storage system (BESS), and diesel generator (DG) for electric power generation and typical house power demand and electrical vehicle (EV) power demand as load power demand. The cost function is formulated based upon life cycle cost, dump energy cost, and green-house gases (GHG) emissions. The optimization problem involves a variety of realistic constraints from hybrid renewable power generation, BESS, diesel generation system, and EVs. The sizing problem is formulated and solved for different possible topologies of renewable energy sources (PV and WT), BESS, and DG, and a comparison based upon cost per unit, GHG emissions, and emission reduction benefit cost is presented.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2018 IEEE International Conference on Industrial Technology, ICIT 2018 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1073-1078 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781509059492 |
| DOIs | |
| State | Published - 27 Apr 2018 |
Publication series
| Name | Proceedings of the IEEE International Conference on Industrial Technology |
|---|---|
| Volume | 2018-February |
Bibliographical note
Publisher Copyright:© 2018 IEEE.
Keywords
- Battery energy storage
- Electric vehicle
- Optimization
- Renewable energy sources
ASJC Scopus subject areas
- Computer Science Applications
- Electrical and Electronic Engineering