Biblio

Analyzing performance of security and stability control system is of great importance for the safe and stable operation of the power grid. Digital dynamic experimental model is built by real time digital simulation (RTDS) in order to research security and stability system of Inner Mongolia in northern 500kV transmission channel. The whole process is closed-loop dynamic real-time simulation. According to power grid network testing technology standard, all kinds of stability control devices need to be tested in a comprehensive system. Focus on the following items: security and stability control strategy, tripping criterion as well as power system low frequency oscillations. Results of the trial indicated that the simulation test platform based on RTDS have the ability of detecting the safe and stable device. It can reflect the action behavior and control characteristics of the safe and stable device accurately. The device can be used in the case of low frequency oscillation of the system.

In order to protect power grid network, the security assessment techniques which include both cyber side and the physical side should be considered. In this paper, we present a method for evaluating the dynamic vulnerability of cyber-physical power system (CPPS) considering the power grid infrastructures failure. First, according to the functional characteristics of different components, the impact of a single component function failure on CPPS operation is analyzed and quantified, such as information components, communication components and power components; then, the dynamic vulnerability of multiple components synchronization function failure is calculated, and the full probability evaluation formula of CPPS operational dynamic vulnerability is built; Thirdly, from an attacker's perspective to identify the most hazardous component combinations for CPPS multi-node collaborative attack; Finally, a local CPPS model is established based on the IEEE-9 bus system to quantify its operational dynamic vulnerability, and the effectiveness of proposed method is verified.

The vulnerability analysis is vital for safely running power grids. The simultaneous attack, which applies multiple failures simultaneously, does not consider the time domain in applying failures, and is limited to find unknown vulnerabilities of power grid networks. In this paper, we discover a new attack scenario, called the sequential attack, in which the failures of multiple network components (i.e., links/nodes) occur at different time. The sequence of such failures can be carefully arranged by attackers in order to maximize attack performances. This attack scenario leads to a new angle to analyze and discover vulnerabilities of grid networks. The IEEE 39 bus system is adopted as test benchmark to compare the proposed attack scenario with the existing simultaneous attack scenario. New vulnerabilities are found. For example, the sequential failure of two links, e.g., links 26 and 39 in the test benchmark, can cause 80% power loss, whereas the simultaneous failure of them causes less than 10% power loss. In addition, the sequential attack is demonstrated to be statistically stronger than the simultaneous attack. Finally, several metrics are compared and discussed in terms of whether they can be used to sharply reduce the search space for identifying strong sequential attacks.