Cyber Attack Detection In Smart Grid Substation Using Virtual Range Increment And Trust Weight

Abstract

In power system protection, the protective zones overlap each other making it difficult to understand which relay or circuit breaker should operate first. Similarly, in smart grid substations different Wireless Sensors (WS) are used for data exchange and communication, whose area of operation overlap each other. During a cyber intrusion, it is difficult to identify the actual defected or compromised sensors. Cyber intrusion in WS spoofing their location, identity, and data. This paper proposes an approach for resolving cyber intrusion detection in the overlapped area of smart grid substation sensors. Each sensor is denoted by a graph node with a circle enclosing the node showing its communication range. Though to detect the malicious nodes during cyber intrusion the traditional trust weight method is used in combination with Virtual Range Increment (VRI). Each sensor node detects the weighs value of the surrounding adjacent node, compare with the threshold weight value. With the help of the trust weight method different suspicious nodes are identified. By using VRI the working area of sensor nodes is increased virtual using MATLAB so that the exact malicious nodes can be identified from suspicious nodes. The proposed method also reduces the time of detection making Smart Grid Substation (SGS) less vulnerable to cyber intrusion.