Abstract
Renewable energy sources have been increasingly deployed as distributed generators in remote areas. Meanwhile, fluctuating power generation from renewable energy sources, together with variable power demand, poses challenges in stable and reliable power supply. In this paper, a microgrid with solar photovoltaic (PV) and battery energy storage (BES) is studied. A state of charge (SOC)-oriented charging scheme is developed to control the BES to smooth the PV output. Most importantly, a sophisticated control algorithm, consisting of a model predictive voltage control (MPVC) and a model predictive power control (MPPC), is proposed for the interlinking converter. It enables stable voltage in islanded mode. Also, in grid-connected mode, flexible reactive power can be injected into the main grid for grid support according to the voltage variation level. Finally, by considering the intermittent nature of the PV and the load profile, an energy management system (EMS) is designed to ensure power balance within the system. Case studies are provided to demonstrate the effectiveness of the proposed control strategy.
| Original language | English |
|---|---|
| Pages (from-to) | 195-203 |
| Number of pages | 9 |
| Journal | Applied Energy |
| Volume | 221 |
| DOIs | |
| Publication status | Published - 1 Jul 2018 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 7 Affordable and Clean Energy
Keywords
- Energy storage
- Microgrids
- Model predictive control (MPC)
- Power converters
- Renewable energy sources
ASJC Scopus subject areas
- Building and Construction
- Mechanical Engineering
- General Energy
- Management, Monitoring, Policy and Law
Fingerprint
Dive into the research topics of 'A model predictive control strategy of PV-Battery microgrid under variable power generations and load conditions'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver