Multi-region interconnected power system load frequency control method under denial of service attack
A technology of load frequency control and denial of service attack, applied in the field of power system
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Embodiment 1
[0090] A load frequency control method for multi-area interconnected power systems under denial-of-service attacks, which integrates wind power systems based on doubly-fed induction generator wind turbines into the power system, and considers the impact of DOS attacks and delays during network transmission, specifically including the following step:
[0091] 1. Construct the LFC system model of the multi-area interconnected power system with wind power system, as follows:
[0092] The LFC of the multi-area interconnected power system mainly includes: 1) keeping the system frequency within a given range; 2) controlling the stability of the exchange power of the tie lines of the power system. figure 1 An LFC system model for the i-th region in a multi-region interconnected power system of a wind power system with doubly-fed induction generator wind turbines is described. Among them, the dynamics of the model of wind power generation based on double-fed induction generator wind ...
Embodiment 2
[0204] Embodiment 2: Simulation example
[0205] Taking the three-region interconnected power system as an example, the feasibility of the proposed multi-region interconnected power system load frequency control method under DoS attack (i.e., the stability of the interconnected power system integrating renewable energy and EVs) is verified. Table 1 gives the parameter values for the wind power system (ie, Equation 1), and Table 2 gives the parameter values for the three regions with renewable energy and electric vehicles (ie, Equation 2).
[0206] Select the upper bound τ of the network-induced delay m =0.05s, attack parameter T=1s, Assume parameter υ 1 = υ 2 = 1.05, α 1 = 0.0015, α 2 =0.5,λ 1 =λ 2 = 1, H∞ performance index γ=2, by solving the matrix inequality condition in Theorem 2, the gain K of the controller in formula (8) can be obtained j =diag{0.8239 0.4704, 0.85690.3909, 0.8848 0.1415}.
[0207] Table 1 Wind power system parameters
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