An adaptive linearized probabilistic power flow calculation method with a high proportion of wind power connected to the grid

Abstract

The invention discloses an adaptive linearized probabilistic power flow calculation method including high-proportion wind power connected to the grid, which is used to solve the power system power flow calculation considering high-proportion wind power and strong load random disturbance. The present invention first adopts the Gaussian mixture model to uniformly describe the randomness of the source-load intensity, and accurately establishes the source-load uncertainty model. Then, a stochastic simulation generates a sample of input variable dependencies. Then, the power flow equation is adaptively linearized, and the iterative algorithm is used to realize the adaptive multi-area division of the random fluctuation range, and the linearization is performed within the divided area to reduce the global linearization error of the power flow, and the adaptive linearization semi-invariant method is used The analytical method is used to obtain the semi-invariants of each order of state variables after regional integration and reorganization. Finally, the C-type Gram-Charlier series is used to fit the probability distribution of state variables. The invention can effectively deal with the randomness and correlation of source-load intensity, obtain more accurate power flow distribution, has the advantages of accurate results and convenient implementation, and is suitable for probabilistic risk analysis and evaluation under high-ratio wind power grid-connected.

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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