An Overview of Distributed Microgrid State Estimation and Control for Smart Grids
AbstractGiven the significant concerns regarding carbon emission from the fossil fuels, global warming and energy crisis, the renewable distributed energy resources (DERs) are going to be integrated in the smart grid. This grid can spread the intelligence of the energy distribution and control system from the central unit to the long-distance remote areas, thus enabling accurate state estimation (SE) and wide-area real-time monitoring of these intermittent energy sources. In contrast to the traditional methods of SE, this paper proposes a novel accuracy dependent Kalman filter (KF) based microgrid SE for the smart grid that uses typical communication systems. Then this article proposes a discrete-time linear quadratic regulation to control the state deviations of the microgrid incorporating multiple DERs. Therefore, integrating these two approaches with application to the smart grid forms a novel contributions in green energy and control research communities. Finally, the simulation results show that the proposed KF based microgrid SE and control algorithm provides an accurate SE and control compared with the existing method. View Full-Text
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Rana, M.M.; Li, L. An Overview of Distributed Microgrid State Estimation and Control for Smart Grids. Sensors 2015, 15, 4302-4325.
Rana MM, Li L. An Overview of Distributed Microgrid State Estimation and Control for Smart Grids. Sensors. 2015; 15(2):4302-4325.Chicago/Turabian Style
Rana, Md M.; Li, Li. 2015. "An Overview of Distributed Microgrid State Estimation and Control for Smart Grids." Sensors 15, no. 2: 4302-4325.