Power grid cascading failure prediction method based on Q learning network attack
A technology of cascading faults and learning networks, applied in the field of power systems, can solve problems such as huge amount of calculation, scenarios where multiple network attacks are not considered, and difficulty in discovering general laws, so as to improve prediction efficiency, shorten calculation time, and improve accuracy Effect
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[0046] In this embodiment, a method for predicting cascading failures of power grids based on Q-learning network attacks is performed in the following steps:
[0047] Step 1. Taking the fault-free tripping of the circuit breaker as the target, construct an attack tree model based on fuzzy analytic hierarchy process, and obtain the success probability of each attack path of the circuit breaker fault-free tripping attack, where the i-th attack path M i The probability of success is denoted as P(M i );
[0048] The schemes to realize the goal G of the circuit breaker’s fault-free tripping include: attacking the control center, attacking the communication network between the control center and the substation, accessing the HMI of the substation, accessing the RTU and accessing the protection relay. figure 1Shown, F 1 -F 11 is a leaf node, F 1 , F 2 Indicates that through port scanning and accessing the switch and invading the control center server; F 3 Indicates the intercep...
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