Abstract
The share of renewable energy (RE) sources is drastically increasing as they prove to be environmentally secure power sources. Nevertheless, excessive RE penetration leads to grid problems that can be solved by integrating battery energy storage system (BESS). Accordingly, the techno-economic significance of BESS needs to be maintained. This paper formulates a meta-heuristic optimization to smooth the solar power fluctuations by BESS through determining the optimal filtering time constant that yields an optimum smoothed dispatched solar power and BESS constraints using harmony search algorithm. The proposed optimization technique is tested and validated on a solar integrated test system highlighting its robustness within feasible number of iteration and time limit.
| Original language | English |
|---|---|
| Title of host publication | 2022 IEEE Green Technologies Conference, GreenTech 2022 |
| Publisher | IEEE Computer Society |
| Pages | 13-18 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781665467681 |
| DOIs | |
| State | Published - 2022 |
Publication series
| Name | IEEE Green Technologies Conference |
|---|---|
| Volume | 2022-April |
| ISSN (Electronic) | 2166-5478 |
Bibliographical note
Publisher Copyright:© 2022 IEEE.
Keywords
- Energy filters
- Energy storage system
- Heuristic optimization
- Low pass filter
- Power smoothing
- Solar photovoltaics
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Ecological Modeling
- Environmental Engineering
