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Dynamic probability load flow calculation method taking response correlation into account

A technology of dynamic probability power flow and calculation method, which is applied in the direction of complex mathematical operations, AC network circuits, electrical components, etc., and can solve the problems of random variable response correlation, random probability power flow influence, difficulty in guaranteeing the accuracy of calculation results, and dependence on calculation results, etc. question

Active Publication Date: 2015-03-11
STATE GRID CORP OF CHINA +1
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Problems solved by technology

At present, the research on the correlation of random variable response and its influence on stochastic probability power flow is relatively rare.
In addition, in the traditional stochastic power flow algorithm, the unbalanced power of the system is borne by the manually designated balance nodes, so that the calculation results depend on the selection of the balance nodes. When the system unbalanced power is large, the accuracy of the calculation results is difficult to guarantee

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  • Dynamic probability load flow calculation method taking response correlation into account
  • Dynamic probability load flow calculation method taking response correlation into account
  • Dynamic probability load flow calculation method taking response correlation into account

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Embodiment

[0107] The technical solutions of the present invention will be further described in detail below in conjunction with specific embodiments.

[0108] The randomness of wind power and load fluctuations can be balanced through schedulable units and flexible load response, and the power grid's ability to accommodate wind power can be improved. The method proposed in the present invention (method 1) and the Monte Carlo method (method 2, sampling 10,000 times) are used to analyze the response of dispatchable units and flexible loads, and the calculation results are shown in Table 1. It can be seen from the table that the method in this paper is very close to the response expectation and standard deviation of the adjustable resources obtained by the Monte Carlo sampling method. figure 2 (a) and (b) respectively compare the absolute error of the active power expectation value and standard deviation of each branch of the system. It can be seen that the results of method 1 and method 2...

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Abstract

The invention relates to a dynamic probability load flow calculation method taking response correlation into account. The method comprises the following steps: (1) creating a probability model of dynamic random injection volume; (2) performing optimized analysis and calculation on imbalance power of a system, creating a dynamic load flow model for reference value distribution of the imbalance power of the system, and working out node voltage and a branch load flow reference value as well as a related sensitivity matrix; (3) performing random variable calculation taking interaction correlation into account, calculating each-order semi-invariant of a random variable, and working out each-order semi-invariants of the node voltage and the branch load flow random quantity by a linearization method based on sensitivity; (4) working out a distribution function to be calculated by a Gram-Charlier series expansion method. The dynamic probability load flow calculation method has the benefits that on one hand, a distribution method for imbalance power of dynamic load flow is used for improving the convergence of random load flow based on semi-invariant when the imbalance power of the system is relatively high, and on the other hand, the response correlation of the random variable can be taken into account.

Description

technical field [0001] The invention relates to a power flow calculation method of an electric power system, in particular to a dynamic probability power flow calculation method considering response correlation. Background technique [0002] Since Borkowska first proposed the concept of stochastic power flow in 1974, stochastic power flow analysis method has become one of the important methods to analyze the uncertain factors of power grid. The stochastic power flow can be divided into two categories: simulation method and analytical method. Including Monte Carlo method, point estimation method and Latin hypercube semi-invariant method, etc. The semi-invariant method can quickly give the expectation, variance and probability distribution of the system state quantity by establishing the analytical relationship between the system state quantity and the random input quantity, and has the advantages of fast solution speed and high calculation accuracy. Correlation is still the...

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Application Information

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IPC IPC(8): H02J3/00G06F17/16
CPCH02J3/00H02J2203/20
Inventor 杨胜春王珂石飞姚建国於益军冯树海周竞曾丹李亚平刘建涛
Owner STATE GRID CORP OF CHINA
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