Calculation method and system of transient power angle stability margin based on artificial intelligence
A technology of transient power angle stabilization and calculation method, which can be applied to AC network circuits, electrical components, circuit devices, etc., and can solve problems such as poor model interpretability and error in calculation results.
Active Publication Date: 2021-01-26
NARI TECH CO LTD +3
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[0005] In order to solve the above problems, the present invention provides an artificial intelligence-based transient power angle stability margin calculation method and system, which solves the problems of relying on manual experience to set feature quantities, poor model interpretability and difficult control of calculation result errors
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[0061] The present invention will be further described below in conjunction with the accompanying drawings. The following examples are only used to illustrate the technical solution of the present invention more clearly, but not to limit the protection scope of the present invention.
[0062] Such as figure 1 As shown, a method for calculating the transient power angle stability margin based on artificial intelligence includes the following steps:
[0063] Step 1. The sample is composed of the power grid operation mode and the transient power angle stability quantitative evaluation results of several expected faults under the power grid operation mode. The maximum and minimum values of the total active power of the load in all the power grid operation modes of the sample set S are respectively taken as the total active power of the load The upper limit and lower limit of the interval, the maximum value and minimum value of each DC power in all operating modes of S are taken...
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The invention discloses a method and system for calculating transient power angle stability margins based on artificial intelligence. According to the total active power of the load, the DC power of each circuit, the transient power angle stability margins and the dominant mode, the sample concentration methods are grouped, and the selected The method with the smallest stable mode difference index within the group is taken as the central method; based on the central method, the stability margin of the intra-group method is estimated, the estimation parameters are optimized, and the central method with a high proportion of the methods that meet the estimation accuracy is used as the benchmark of the stability margin calculation model method, by subdividing the sample concentration method, all the benchmark methods of the stability margin calculation model are generated; the benchmark method with a small method difference index is used as an effective benchmark method for the calculation of the stability margin of the sample concentration method, and the method difference index is taken into account. The weighted average of the estimated value of the stability margin of the benchmark method is used as the calculated value of the stability margin of the sample concentration method, and the stability margin of the new method is calculated using the verified stability margin calculation model.
Description
technical field [0001] The invention relates to a method and system for calculating a transient power angle stability margin based on artificial intelligence, and belongs to the technical field of power grid security and stability analysis. Background technique [0002] With the increase of the scale of the power grid, the increase of the proportion of new energy installed capacity, the gradual application of flexible equipment such as direct current transmission, and the diversification and complexity of the load types and characteristics of the power consumption side, the transient power angle stability characteristics of the power grid are becoming more and more complicated; With the advancement of the electricity market and integrated energy services, the operating status of the power grid is more flexible and changeable. Power grid operation mode analysts determine several typical power grid operation modes and fault sets based on experience, and determine several trans...
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IPC IPC(8): H02J3/00
CPCH02J3/00
Inventor 徐泰山鲍颜红郭剑邵伟王胜明薛峰刘强徐伟
Owner NARI TECH CO LTD