The invention relates to an assessment method for vulnerability of a smart distribution network based on a dynamic probability trend. The assessment method comprises the following steps: adopting a basic function and a random function to form probability distribution for node injection power of the smart distribution network; computing probability distribution for busbar voltage and line power according to Gram-Charlier stage number and semi invariant; utilizing a piecewise function to compute harm severity index caused by voltage, current and power on the smart distribution network; and then computing to output the vulnerability index of the smart distribution network. According to the invention, the method based on risk theory adopts the dynamic probability trend method to access the vulnerability, and enables a self-healing control scheme of the smart distribution network to adapt to change of load and operating environment of the smart distribution network, so that the smart distribution network can operate safely, reliably and economically.

Assessment method for vulnerability of smart distribution network based on dynamic probability trend

The invention belongs to a risk evaluation method for the operation of a large power grid. The method comprises the following steps of (1) statistics of fault and risk factors; (2) computation of risk probability; (3) risk quantitative evaluation based on the load loss; (4) classification and result evaluation on risk index. According to the risk evaluation method for the operation of the large power grid, the occurring probability of power system accidents and the number of load loss of the system are combined to form a new quantitative index, so a scheduling person can be helped to perform real-time risk evaluation and analysis, can further comprehensively master the safe operation condition of the power grid, and controls the risk level of the system within a reasonable range by adopting necessary measures, and the occurrence of the disaster fault is avoided. The real-time evaluation and management and control on the risk are realized by a power gird scheduling center and the method belongs to a load loss-based risk evaluation method for the operation of the large power grid.

Risk evaluation method for operation of large power grid

On-line risk evaluation method of power grid

Reliability assessment method for electric distribution network with WTG (wind turbine generator)

The invention discloses a plant wiring information based anticipatory fault set generation method. The method comprises the steps of (1) determining whether a plant wiring information maintenance database is required; (2) determining whether equipment belongs to a to-be-generated voltage level fault subset according to certain substation equipment name number information in power grid models, storing the plant wiring information of the equipment into a fault set database if the equipment belongs to the subset, adding calculation identification position to all line information, and setting the calculation identification position to be 0; (3) setting different fault cars to different equipment in the fault set database; (4) stopping in the step (3) if certain voltage level fault subset is to be generated, and repeating (2) to (3) if a full voltage level fault subset is to be generated. The method has the advantages that anticipatory fault sets are generated rapidly, efficiently and automatically, fault setting time is reduced, and the workload is reduced for subsequent calculation and analysis.

Plant wiring information based anticipatory fault set generation method

The invention discloses a risk evaluation method for the transmission capacity of an electric network, which comprises the following steps of: aiming at an electric network system, constructing a load model containing distribution network impedance and calculating to obtain the change range of the parameter of the load model; taking the typical load of the load model as a model vector base and multiplying various formation proportions of the typical load and the model vector base to obtain a model vector; calculating to obtain the fuzzy expectation of the parameter of the load model at different temperatures and multiplying the fuzzy expectation at different temperatures and the probability of the occurrence of the temperatures and then totalizing to obtain the fuzzy expectation of the temperatures; dividing the change range of the parameter of the load model into preset equal portions and calculating the transmission power limit of the section and the damping ratio of a generator respectively when the parameter of the load model is changed according to the preset equal portions; sampling the transmission power limit of the section and the damping ratio of the generator by adopting a Monte Carlo method within the change range of the parameter of the load model to obtain the risk evaluation parameter of the load model; and calculating the risk indicator of the transmission capacity of the section of the electric network according to the risk evaluation parameter of the load model.

Risk evaluation method for transmission capacity of electric network

The invention provides a classified fault template based on the concept of three lines of defense in a power system, which is generally adopted by power grid construction in China. On the basis, the automatic batch fault set generation is realized and the batch generation with same faults can be realized for a plurality of nodes in the same region or same voltage grade. Compared with a traditional single fault generation method for elements, the automatic batch fault set generation method can be used for saving multiple repeated operations, so that the time for fault generation is greatly saved and the work efficiency is improved. Meanwhile, various fault templates are classified according to the requirement of three lines of defense, thus weak spots and safety and danger points in the operation of the power grid can be found more comprehensively and accurately, and further, references can be provided for safe and stable operation of a large power grid.

Three defensive lines based automatic batch fault set generation method

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Risk evaluation method for transmission capacity of electric network

Three defensive lines based automatic batch fault set generation method