Distributed generation system control strategies with PV and fuel cell in microgrid operation. (August 2016)
- Record Type:
- Journal Article
- Title:
- Distributed generation system control strategies with PV and fuel cell in microgrid operation. (August 2016)
- Main Title:
- Distributed generation system control strategies with PV and fuel cell in microgrid operation
- Authors:
- Bai, Wenlei
Abedi, M. Reza
Lee, Kwang Y. - Abstract:
- Abstract: Control strategies of distributed generation (DG) are investigated for different combination of DG and storage units in a microgrid. In this paper the authors proposed a microgrid structure which consists of a detailed photovoltaic (PV) array model, a solid oxide fuel cell (SOFC) and various loads. Real and reactive power (PQ) control and droop control are developed for microgrid operation. In grid-connected mode, PQ control is developed by controlling the active and reactive power output of DGs in accordance with assigned references. Two PI controllers were used in the PQ controller, and a novel heuristic method, artificial bee colony (ABC), was adopted to tune the PI parameters. DGs can be controlled by droop control both under grid-connected and islanded modes. Droop control implements power reallocation between DGs based on predefined droop characteristics whenever load changes or the microgrid is connected/disconnected to the grid, while the microgrid voltage and frequency is maintained at appropriate levels. Through voltage, frequency, and power characteristics in the simulation under different scenarios, the proposed control strategies have demonstrated to work properly and effectively. The simulation results also show the effectiveness of tuning PI parameters by the ABC. Highlights: We proposed a microgrid structure which consists of a detailed photovoltaics (PV), solid oxide fuel cell (SOFC) to supply various loads. PQ control and droop control wereAbstract: Control strategies of distributed generation (DG) are investigated for different combination of DG and storage units in a microgrid. In this paper the authors proposed a microgrid structure which consists of a detailed photovoltaic (PV) array model, a solid oxide fuel cell (SOFC) and various loads. Real and reactive power (PQ) control and droop control are developed for microgrid operation. In grid-connected mode, PQ control is developed by controlling the active and reactive power output of DGs in accordance with assigned references. Two PI controllers were used in the PQ controller, and a novel heuristic method, artificial bee colony (ABC), was adopted to tune the PI parameters. DGs can be controlled by droop control both under grid-connected and islanded modes. Droop control implements power reallocation between DGs based on predefined droop characteristics whenever load changes or the microgrid is connected/disconnected to the grid, while the microgrid voltage and frequency is maintained at appropriate levels. Through voltage, frequency, and power characteristics in the simulation under different scenarios, the proposed control strategies have demonstrated to work properly and effectively. The simulation results also show the effectiveness of tuning PI parameters by the ABC. Highlights: We proposed a microgrid structure which consists of a detailed photovoltaics (PV), solid oxide fuel cell (SOFC) to supply various loads. PQ control and droop control were developed for proper microgrid operation under grid-connected mode and island mode. A heuristic method called artificial bee colony (ABC) was proposed to find the control parameters. … (more)
- Is Part Of:
- Control engineering practice. Volume 53(2016)
- Journal:
- Control engineering practice
- Issue:
- Volume 53(2016)
- Issue Display:
- Volume 53, Issue 2016 (2016)
- Year:
- 2016
- Volume:
- 53
- Issue:
- 2016
- Issue Sort Value:
- 2016-0053-2016-0000
- Page Start:
- 184
- Page End:
- 193
- Publication Date:
- 2016-08
- Subjects:
- Distributed generation -- PV -- SOFC -- Microgrid -- Droop control -- PQ control -- Artificial bee colony (ABC) -- Heuristic optimization
Automatic control -- Periodicals
629.89 - Journal URLs:
- http://www.sciencedirect.com/science/journal/09670661 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.conengprac.2016.02.002 ↗
- Languages:
- English
- ISSNs:
- 0967-0661
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3462.020000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 1335.xml