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Fractional-Order Model Predictive Frequency Control of an Islanded Microgrid
- Source :
- Energies; Volume 12; Issue 1; Pages: 84
- Publication Year :
- 2018
- Publisher :
- MDPI AG, 2018.
-
Abstract
- Optimal frequency control of an islanded microgrid has been a challenging issue in the research field of microgrids. Recently, fractional-order calculus theory and some related control methods have attempted to handle this issue. In this paper, a novel fractional-order model predictive control (FOMPC) method is proposed to achieve the optimal frequency control of an islanded microgrid by introducing a fractional-order integral cost function into model predictive control (MPC) algorithm. Firstly, a discrete state-space model is derived for the optimal frequency control problem of an islanded microgrid. Afterward, a fractional-order integral cost function is designed to guide the FOMPC algorithm to obtain optimal control law by borrowing the Grünwald-Letnikov (GL) definition of fractional order calculus. Six simulation studies have been carried out to illustrate the superiority of FOMPC to conventional MPC under dynamical load disturbances, perturbed system parameters and random dynamical power fluctuation of wind turbines.
- Subjects :
- 0209 industrial biotechnology
Control and Optimization
Wind power
Renewable Energy, Sustainability and the Environment
business.industry
Computer science
020209 energy
Automatic frequency control
Energy Engineering and Power Technology
Order (ring theory)
02 engineering and technology
Function (mathematics)
Optimal control
Field (computer science)
Model predictive control
020901 industrial engineering & automation
Control theory
0202 electrical engineering, electronic engineering, information engineering
optimal frequency control
islanded microgrid
fractional-order calculus
model predictive control
cost function
Microgrid
Electrical and Electronic Engineering
business
Engineering (miscellaneous)
Energy (miscellaneous)
Subjects
Details
- ISSN :
- 19961073
- Volume :
- 12
- Database :
- OpenAIRE
- Journal :
- Energies
- Accession number :
- edsair.doi.dedup.....5cfe39ae20989c1f6b68aaa03a39cd9f