Abstract:
Islanded microgrids including renewables are very uncertain systems that need additional communications and information exchange for Load Frequency Control (LFC) leading ...Show MoreMetadata
Abstract:
Islanded microgrids including renewables are very uncertain systems that need additional communications and information exchange for Load Frequency Control (LFC) leading to Cyber Physical Systems (CPS). This additional communication based coordination of generators is called the secondary frequency control (SFC) of a microgrid. Moreover, Electric Vehicle (EV) batteries also participate in the SFC to adjust frequency deviation through cyber interface. The SFC is highly susceptible to various types of cyber disruptions, e.g., False Data Injection (FDI) that can compromise sensor and actuator data to manipulate decision-making process or trigger disruptive reconstructing actions that may result in blackouts. For detection and control of FDI, all uncertainties, including renewable energies and measurement noises, should be modeled and addressed to replicate actual conditions. This paper designs a resilient control approach against FDI to actuators in the presence of uncertainties which are formulated as Unknown Inputs (UIs). The proposed controller operates in two layers: with Stochastic Unknown Input Observer (SUIO) in the first layer to identify the microgrid states and UIs as well as optimal control in the second layer to mitigate the frequency excursions. The proposed resilient control framework is compared against traditional LQR using simulations to show superiority in performance.
Published in: 2019 IEEE Power & Energy Society General Meeting (PESGM)
Date of Conference: 04-08 August 2019
Date Added to IEEE Xplore: 30 January 2020
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