Abstract
The introduction of variability with the integration of renewable energy sources in the generation-side of the power network degrades the power quality of the supplied power. With the increased demand of renewable energy integration in the electricity network the concept of microgrid provides significant controllability and mitigation of system variations. This paper presents a simultaneous power management and control scheme for a hybrid renewable microgrid consisting of solar PV system, permanent magnet synchronous generator (PMSG) driven by wind turbine, and battery energy storage system. The PV system is connected directly to the DC-link, thus lowering losses and cost by eliminating the redundant DC/DC boost converter. Moreover, maximum power point tracking (MPPT) algorithms are utilized to extract the maximum power from each renewable energy source. A sliding mode control technique is designed to improve the robust performance of the system and ensure efficient energy management irrespective of system disturbances, load fluctuations, transience of irradiance, and variation of wind speed. The proposed optimization framework is tested and validated on an AC microgrid system proving its efficacy.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2021 13th Annual IEEE Green Technologies Conference, GREENTECH 2021 |
| Publisher | IEEE Computer Society |
| Pages | 176-180 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781728191393 |
| DOIs | |
| State | Published - Apr 2021 |
Publication series
| Name | IEEE Green Technologies Conference |
|---|---|
| Volume | 2021-April |
| ISSN (Electronic) | 2166-5478 |
Bibliographical note
Publisher Copyright:© 2021 IEEE.
Keywords
- Energy storage systems
- Hybrid solar-wind system
- Microgrid modelling
- Nonlinear control
- Optimized power management
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Ecological Modeling
- Environmental Engineering