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Active distribution network optimization scheduling model and method considering information system uncertainty

A technology for active distribution network and optimal dispatching, which is applied to AC networks, circuit devices, and AC network circuits of the same frequency with different sources, which can solve problems such as insufficient demand response research work.

Active Publication Date: 2021-08-24
SHANDONG UNIV +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0009] In order to solve the above problems, the present invention overcomes the problem of insufficient demand response research work in the active distribution network in the prior art, and provides an optimal scheduling model and method for the active distribution network that takes into account the uncertainty of the information system, wherein one An optimal scheduling model for active distribution networks that takes into account the uncertainty of information systems realizes the probability of constraint violation under various uncertain factors, and in essence realizes the trade-off between economic and safe operation of the power system

Method used

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  • Active distribution network optimization scheduling model and method considering information system uncertainty
  • Active distribution network optimization scheduling model and method considering information system uncertainty
  • Active distribution network optimization scheduling model and method considering information system uncertainty

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Experimental program
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Embodiment 1

[0160] In this example, if figure 2 As shown in the wiring diagram of the IEEE33 node system, it is assumed that the distribution network has only one node connected to the upper-level power grid, and wind power is used to represent random renewable energy, and only changes in active power are considered. Represents a set consisting of n nodes of the distribution network, Represents a collection composed of upper-level grid connection nodes, controllable load nodes, and wind power nodes, The elements are arranged in the order of these three, Represents a collection composed of upper-level grid connection nodes and controllable load nodes. Among them, the collection The number of elements is N B , the number of wind power nodes is N ω , let N P =N B -N ω .

[0161] As introduced in the background technology, there are insufficient problems in the demand response research work in the active distribution network in the prior art, especially in order to solve the ...

Embodiment 2

[0302] A kind of construction method of sensitivity factor matrix described in described step (2):

[0303] According to the voltage complex vector V, the vector X composed of the real part and the imaginary part of the node voltage is obtained,

[0304] X:=[Re{V} T Im{V} T ] T

[0305] Among them, Re{} and Im{} represent the operation of taking real part and imaginary part respectively;

[0306] The sensitivity factor matrix

[0307] The other implementation modes of this embodiment are the same as those of Embodiment 1.

Embodiment 3

[0309]Another construction method of the sensitivity factor matrix described in the step (2):

[0310] According to Y k :=e k (e k ) T Y

[0311] in, Denotes the nodal admittance matrix, represents the standard vector basis, Represents a set consisting of n nodes of the distribution network,

[0312] get:

[0313]

[0314]

[0315] according to in, Indicates the capacitance to ground of the π-type equivalent circuit (l, m); y lm Indicates the admittance of the line (l,m); Indicates that n in the distribution network l a collection of lines;

[0316] get:

[0317]

[0318]

[0319]

[0320] but:

[0321] The active and reactive power injected by nodes can be expressed as:

[0322]

[0323] The active and reactive power of branch power flow can be expressed as:

[0324]

[0325] Among them, Tr{} represents the trace of the matrix, Y lm represents the matrix constructed from the admittances of the line (l,m).

[0326] Will P k,...

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Abstract

The present invention relates to an active distribution network optimal dispatching model and method taking into account the uncertainty of the information system. The specific steps of the method include: constructing and expressing the power change of renewable energy and the flexibility provided by the superior power grid and the controllable load provided The power generation transfer factor of the relationship between flexibility; the optimal solution of the conventional optimal power flow model of the distribution network is solved by using the conventional optimal power flow model of the distribution network. The sensitivity factor matrix of the linear relationship between the active power variation and the reactive power variation of the power flow; combine the above steps to construct an optimal power flow model based on chance constraints, transform it into a deterministic optimal power flow model, and solve the deterministic optimal power flow problem , and update the sensitivity factor matrix; judge whether the deterministic optimal power flow model converges, and if converged, obtain the optimal solution; if not converge, return to the previous step.

Description

technical field [0001] The invention belongs to the technical field of active distribution network dispatching in a non-ideal communication environment, and in particular relates to an active distribution network optimal dispatching model and method taking into account the uncertainty of an information system. Background technique [0002] At present, with the increasing penetration of renewable energy in medium and low voltage distribution networks, its volatility and randomness have brought great challenges to the safe operation of distribution networks. In the field of distribution network technology, the active distribution network designed to accommodate adjustable equipment such as distributed power sources, energy storage devices, and controllable loads is an important development direction of future smart distribution networks. Based on information communication technology and advanced measurement The demand response of the system is a research hotspot in the field o...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H02J3/06
CPCH02J3/06H02J2203/20
Inventor 褚晓东唐茂森刘伟生贾善杰李笋
Owner SHANDONG UNIV
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