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Mitigating microgrid voltage fluctuation using battery energy storage system with improved particle swarm optimization
- Source :
- Energy Reports, Vol 6, Iss, Pp 724-730 (2020)
- Publication Year :
- 2020
- Publisher :
- Elsevier BV, 2020.
-
Abstract
- The variability and intermittency of light intensity, caused by cloud movement and weather conditions, can create fluctuation in the photovoltaic (PV) power generation. In a microgrid with a high PV penetration, these can affect severe microgrid voltage fluctuation problem. However, the battery energy storage system (BESS) is an equipment that can be used to smooth PV fluctuation and enhance the flexibility of the microgrid. In this paper, an improved particle swarm optimization (I-PSO) is developed to mitigate the voltage fluctuation by optimizing both BESS active and reactive power. The I-PSO is developed and implemented in MATLAB, while the time sweep load flow is calculated by using DIgSILENT PowerFactory. The proposed method is tested on the practical 22 kV Mae Sa Riang microgrid in Thailand which has encountered from voltage fluctuation problem. The simulation results show that the I-PSO is more effective in determining the optimal BESS operation and mitigating the PV voltage fluctuation than the PV smoothing mode in the microgrid. Keywords: Battery energy storage system, Improved particle swarm optimization, Microgrid, Mitigating, PV smoothing, Voltage fluctuation
- Subjects :
- Microgrid
Computer science
020209 energy
02 engineering and technology
Automotive engineering
020401 chemical engineering
ddc:330
Voltage fluctuation
0202 electrical engineering, electronic engineering, information engineering
0204 chemical engineering
MATLAB
computer.programming_language
Improved particle swarm optimization
PV smoothing
Photovoltaic system
Particle swarm optimization
Mitigating
AC power
Light intensity
General Energy
Electricity generation
lcsh:Electrical engineering. Electronics. Nuclear engineering
lcsh:TK1-9971
computer
Battery energy storage system
Smoothing
Subjects
Details
- ISSN :
- 23524847
- Volume :
- 6
- Database :
- OpenAIRE
- Journal :
- Energy Reports
- Accession number :
- edsair.doi.dedup.....8206eada5404102f3e50ed7897fd51ca
- Full Text :
- https://doi.org/10.1016/j.egyr.2019.11.145