Resilient Reliable H8 Load Frequency Control of Power System With Random Gain Fluctuations
Abstract : This article proposes a resilient reliable H8 load frequency control (LFC) design for power system involving the external load disturbances, stochastic actuator failures, and randomly occurring gain fluctuations. In this regard, the separate random variables are introduced which characterize the actuator failures and gain fluctuations in an individual manner that satisfies the Bernoulli distribution. The resilient reliable proportional-integral (PI)-type LFC is proposed by utilizing the resilient control scheme and the reciprocal convex technique along with the Lyapunov-Krasovskii functional (LKF), which guarantees the mean-square asymptotic stability of power system via H8 performance index. Finally, the simulations are given to ensure the less conservative results of the proposed method when compared to the existing results.
? Apart from these, some reviews also focus on the attack impact analysis, modeling of networked control systems or cyber physical systems (CPS) under cyber-attacks, and existing attack mitigation techniques in general.
? Reachability methods are used into identify the existence of FDI attacks, which can cause the violation of safety conditions.
? In, the unknown vulnerability of existing bad data detection algorithms for two class of attacks (FDI attacks and generalized FDI attacks) with the attack goals of finding a random attack vector and targeted attack vector is investigated.
? As an essential component of the power system, the LFC system needs to utilize varieties of measured data to maintain the stability of system frequency.
? Sophisticated attackers can compromise the measured data by launching cyber attacks to force the load frequency controller to issue incorrect instructions, which can lead to unpredictable frequency fluctuation.
? Thus, the controller can be misled to issue control commands that are not applicable to the current operating situation.
? It is necessary to relate the true data of tie-line power to accessible known-secured variables under the current operating situation.
• A resilient control strategy against aperiodic DoS attack in interconnected-area power systems with communication delay is proposed in .
• It is also synchronized with a detection mechanism for differentiating DoS attacks from delays induced in the network.
• The predicted data from CCN are used to implement a VSN. In , a defense method using ‘’Deep auto-encoder Extreme Learning Machine” (DAELM) is proposed.
• The methods of low rank matrix factorization and nuclear norm minimization are proposed to separate the anomalies and nominal states of the power grid
? We evaluate the reliability of the proposed attack detection scheme by considering four safe factors: safe SNR, safe delay, safe number of training samples, and safe margin difference.
? To quantify reasonable safe levels which could guarantee certain detection performance, we establish the relationship between the minimum of the safe factors and threshold for detection performance.
? In, known-secured phasor measurement unit (PMU) measurement is used to detect malicious attacks on power grids.
? The attack detection scheme using dual-source data of compromised variables in an LFC system is proposed. Dual-source data can be used as a basis for defenders to detect false data injection attacks.
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