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Performance Enhancement of Micro Grid System with SMES Storage System Based on Mine Blast Optimization Algorithm
- Source :
- Energies; Volume 12; Issue 16; Pages: 3110, Energies, Vol 12, Iss 16, p 3110 (2019)
- Publication Year :
- 2019
- Publisher :
- Multidisciplinary Digital Publishing Institute, 2019.
-
Abstract
- Frequency control represents a critically significant issue for the enhancement of the dynamic performance of isolated micro grids. The micro grid system studied here was a wind−diesel system. A new and robust optimization technique called the mine blast algorithm (MBA) was designed for tuning the PID (proportional−integral−differential) gains of the blade pitch controller of the wind turbine side and the gains of the superconducting magnetic energy storage (SMES) controller. SMES was implemented to release and absorb active power quickly in order to achieve a balance between generation and load power, and thereby control system frequency. The minimization of frequency and output wind power deviations were considered as objective functions for the PID controller of the wind turbine, and the diesel frequency and power deviations were used as objective functions for optimizing the SMES controller gains. Different case studies were considered by applying disturbances in input wind, load power, and wind gust, and sensitivity analysis was conducted by applying harsh conditions with varying fluid coupling parameter of the wind−diesel hybrid system. The proposed MBA−SMES was compared with MBA (tuned PID pitch controller) and classical PI control systems in the Matlab environment. Simulation results showed that the MBA−SMES scheme damped the oscillations in the system output responses and improved the system performance by reducing the overshoot by 75% and 36% from classical and MBA-based systems, respectively, reduced the settling time by 45% compared to other systems, and set the final steady-state error of the frequency deviation to zero compared to other systems. The proposed scheme was extremely robust to disturbances and parameter variations.
- Subjects :
- Control and Optimization
Settling time
Computer science
020209 energy
Automatic frequency control
Energy Engineering and Power Technology
PID controller
02 engineering and technology
Superconducting magnetic energy storage
lcsh:Technology
Turbine
diesel generator
wind turbine
Diesel fuel
SMES
pitch control
mine blast algorithm
Pitch control
Control theory
0202 electrical engineering, electronic engineering, information engineering
Overshoot (signal)
Electrical and Electronic Engineering
Engineering (miscellaneous)
Wind power
lcsh:T
Renewable Energy, Sustainability and the Environment
Oscillation
business.industry
Blade pitch
020208 electrical & electronic engineering
Fluid coupling
Frequency deviation
AC power
Control system
Hybrid system
Wind gust
Diesel generator
business
Energy (miscellaneous)
Subjects
Details
- Language :
- English
- ISSN :
- 19961073
- Database :
- OpenAIRE
- Journal :
- Energies; Volume 12; Issue 16; Pages: 3110
- Accession number :
- edsair.doi.dedup.....f847a058d7c24c9f21031cf2d1b6d2c4
- Full Text :
- https://doi.org/10.3390/en12163110