Self-adaptive linearization probabilistic power flow calculation method containing high-proportion wind power grid connection

Abstract

The invention discloses a self-adaptive linearization probabilistic power flow calculation method containing high-proportion wind power grid connection, and the method is used for solving the problemin power system power flow calculation considering high-proportion wind power and load strong random disturbance. The method comprises the steps that firstly, a Gaussian mixture model is adopted for uniformly depicting source-strong load randomness, and a source-load uncertainty model is established; next, an input variable correlation sample is generated by random simulation; then, self-adaptivelinearization processing is carried out on the power flow equation, and a random fluctuation range adaptive multi-area division is realized by adopting an iterative algorithm, and linearization is carried out in the division region so as to reduce the global linearization error of the power flow, and an analysis method of a self-adaptive linearization semi invariable method is adopted to obtain semi invariants of each order of the state variables after regional integrative recombination; and finally, state variable probabilistic distribution fitting is carried out through C type Gram-Charlierseries. By adoption of the method, the source-strong load randomness and correlation can be processed effectively, more accurate power flow distribution can be acquired, and advantages of accurate result and convenient realization are realized, so that the method is applicable to analysis and evaluation of the probabilistic risk in the high-proportion wind power grid connection.

Description

technical field [0001] The invention belongs to the technical field of power system operation analysis and control, and relates to an adaptive linearization probabilistic power flow calculation method including a high proportion of wind power connected to the grid. Background technique [0002] A high proportion of wind power connected to the grid will become an important scenario under the smart grid, and its large-scale fluctuations will further intensify the uncertainty of the power system. At the same time, the development of "source-network-load" interaction technology enables flexible loads to actively participate in source-load interaction through demand response (DR), which increases user autonomy in power consumption and significantly increases load-side uncertainty. The randomness of source-load intensity in the scenario of a high proportion of wind power connected to the grid will bring great challenges to the safe operation of the system. Therefore, it is of prac...

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Problems solved by technology

[0005] Purpose of the invention: The purpose of the present invention is to address the deficiencies of the prior art, and propose an adaptive linearized probabilistic power flow calculation method with a high proportion of wind power connected to the grid to solve the problem of high dependence of multi-regional linearized models on subjective factors. At the same time, it can solve the power flow calculation of the power system under the influence of strong randomness and correlation of wind power output and load, and obtain more accurate probability distribution characteristics, which is suitable for probabilistic risk analysis and assessment under high-proportion wind power grid connection.

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