Open AccessRule Based Novel Method for Self Healing Attack Revelation for Smart Grids
Author(s) -
Arvind P. Kadam,
Shekhappa G. Ankaliki
Publication year - 2020
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.d7829.049420
Subject(s) - computer science , smart grid , data mining , grid , monte carlo method , basis (linear algebra) , function (biology) , algorithm , mathematics , engineering , statistics , geometry , evolutionary biology , electrical engineering , biology
In this paper, we introduce a new idea for the rebuilding of measuring sensor data collected from the power grid, eliminating the impact of the attack on the integrity of confidential data. The introduced system is based on the reconstruction of Monte Carlo analysis of experimental data and the measurement of actual training data of the transfer function of the information gathered by sensor of the strong nonlinear representation data through the root is added to the sensor measurements based on quality parameters by a clever attacker. For strong, multivariate reconstruction measures against multiple attacks sensors based regulation attack detection is used. The introduced scheme is check out using a standard IEEE 34-bus and real samples were collected from a grid system. The simulation results confirm that the introduced scheme can handle the label and non-label and attacks based on the proposed rules historical measurement data decided on the basis of the received value RAE become. 5.5. Self- healing recovery is possible within 10 msec of time limit if multiple attacks are detected by local system agent then feed gain of agent scheduler is adjusted to 1/4 to 1/3. Finally, if the value of RAE deviates according to the complexity of the time constant increases to 20 msec to recover the original response was very close to that of the nominal case.