Abstract
Inverter-based energy resource is a fast emerging technology for microgrids. Operation of micorgrids with integration of these resources, especially in an islanded operation mode, is challenging. To effectively capture microgrid dynamics and also control these resources in islanded microgrids, a heavy cyber and communication infrastructure is required. This high reliance of microgrids on cyber interfaces makes these systems prone to cyber-disruptions. Hence, the hierarchical control of microgrids, including primary, secondary, and tertiary control, needs to be developed to operate resiliently. This paper shows the vulnerability of microgrid control in the presence of False Data Injection (FDI) attack, which is one type of cyber-disruption. Then, this paper focuses on designing a resilient secondary control based on Unknown Input Observer (UIO) against FDI. The simulation results show the superior performance of the proposed controller over other standard controllers.
Highlights
Due to the environmentally friendly characteristics of renewable energies and distributed energy resources, integrating these energy resources into distribution grids is growing significantly
This paper focuses on designing a resilient secondary controller against false data injection for an islanded microgrid equipped with inverter-based energy resources
These results determine that the proposed Unknown Input Observer (UIO) controller performs significantly better than the other two secondary controllers
Summary
Due to the environmentally friendly characteristics of renewable energies and distributed energy resources, integrating these energy resources into distribution grids is growing significantly. Microgrids can locally supply loads through distributed energy resources that include renewable energy resources and operate in grid-connected and islanded modes. Sustaining the islanded operation of microgrids is challenging since the grid relies on a limited number of energy resources. This challenging task can be addressed by utilizing hierarchical control methods comprised of primary, secondary, and tertiary controls [1]. The primary control response is the immediate regulation of power output by the governor or electronic controller in response to changes in the grid frequency. Considering the limited capability of the primary control loop to address frequency changes, it is necessary to design the secondary control to control the grid dynamics [2]. Tertiary control focuses on optimal power flow between the main grid and microgrids, which is not within the scope of this paper
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