The disclosure provides a power system vulnerability analysis method in consideration of information physical joint attack. When the primary equipment (generator, transformer, transmission line and the like) of the grip in a certain area is physically destroyed, stops operation, and causes changes in the topological structure of the grid, problems such as power flow transfer, branch out-of-limit power and power imbalance of the power system possibly occurs. If the information system suffers an information attack at this time, it is determined that a power dispatching center loses an optimization adjustment capability, the grid proportionally adjusts power generation and consumption power to ensure the power balance, and the out-of-limit branch is cut off by a relay protection device. If the information system does not suffer an information attack, after the destroyed equipment is shut down, the power dispatching center performs optimization with the minimum load loss as a goal, and performs adjustment and control from the power supply side and the load side to eliminate the branch out-of-limit power while ensuring the power balance of the grid.

Power system vulnerability analysis method in consideration of information physical joint attack

The invention discloses a multi-time scale cascading failure prediction method of a power system under a typhoon weather condition. The method comprises the steps of 1, acquiring meteorological data and line parameters, and building a dynamic model of typhoon weather; 2, calculating initial fault probabilities of lines to form an initial fault set; 3, switching on or off any line of the initial fault set under an initial load level; 4, enabling the power system to sequentially carry out short-time scale judgment and corresponding control process and line overload control process of the short-time scale judgment; 5, carrying out fuzzy clustering on correlation indexes of the line, and taking the class with the highest relevance in a clustering result as an on-off line in the next stage; 6,updating the load level of the power system and weather indexes of the line; 7, repeating the steps 4-6, and until completion conditions are met, recording and outputting accident chain data. According to the method, an accident chain of the power system under the typhoon weather condition can be more really simulated when typhoon comes, so that guidance can be provided for research on cascading failures in typhoon.

Multi-time scale cascading failure prediction method of power system under typhoon weather condition

The invention discloses a cascading fault risk assessment method and a cascading fault risk assessment system for high-proportion wind power grid connection. The cascading fault risk assessment methodand the cascading fault risk assessment system comprise the following steps: establishing a wind power prediction error model according to the wind power prediction error historical data to obtain the wind power output distribution; Select the initial fault set; When a fault occurs in the initial fault set, the fault chain search is started: whether the power system is disconnected or not is judged; if the fault is disconnected, the island balance is carried out and the current fault chain search is stopped; If the power system is not disconnected, the stochastic power flow calculation is carried out. If the non-convergence probability of the power flow calculation result is greater than the set value, the load shedding control is carried out. According to the accident chain set generatedabove, the power system loss risk index and line importance index are calculated. The technical proposal provided by the invention fully considers the influence of wind power uncertainty in the evolution process of the accident chain, has more comprehensive risk assessment to the system, and is suitable for the background of high-proportion wind power grid connection.

Method and system for cascading failure risk assessment of high proportion wind power grid-connected

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Method and system for cascading failure risk assessment of high proportion wind power grid-connected