Active power 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, and can solve problems such as insufficient demand response research work.

Active Publication Date: 2018-10-23
SHANDONG UNIV +1
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  • 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 power distribution network optimization scheduling model and method considering information system uncertainty
  • Active power distribution network optimization scheduling model and method considering information system uncertainty
  • Active power distribution network optimization scheduling model and method considering information system uncertainty

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Embodiment 1

[0164] 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 .

[0165] 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

[0310] A kind of construction method of sensitivity factor matrix described in described step (2):

[0311] 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,

[0312] X:=[Re{V} T Im{V} T ] T

[0313] Among them, Re{} and Im{} represent the operation of taking real part and imaginary part respectively;

[0314] The sensitivity factor matrix

[0315] The other implementation modes of this embodiment are the same as those of Embodiment 1.

Embodiment 3

[0317] According to Y k :=e k (e k ) T Y

[0318] in, Denotes the nodal admittance matrix, represents the standard vector basis, Represents a set consisting of n nodes of the distribution network,

[0319] get:

[0320]

[0321]

[0322] according to

[0323] in, Represents 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;

[0324] get:

[0325]

[0326]

[0327]

[0328] but:

[0329] The active and reactive power injected by nodes can be expressed as:

[0330]

[0331] The active and reactive power of branch power flow can be expressed as:

[0332]

[0333] Among them, Tr{} represents the trace of the matrix, Y lm represents the matrix constructed from the admittances of the line (l,m).

[0334] Will P k,inj , Q k,inj Take the derivative of X respectively,

[0335]

[0336] Get the se...

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Abstract

The invention relates to an active power distribution network optimization scheduling model and method considering information system uncertainty. The method specifically includes the following stepsthat: a power generation transfer factor which can express a relationship between renewable energy power variation and flexibility provided by an upper-layer power grid and flexibility provided by a controllable load is constructed; a power distribution network conventional optimal power flow model is provided, the optimal solution of the power distribution network conventional optimal power flowmodel is solved, and a sensitivity factor matrix which can express a linear relationship between a node injection power variation quantity and the real part and imaginary part of node voltage, a branch power flow active power variation quantity and a reactive power variation quantity; and an opportunity constraint-based optimal power flow model is constructed based on the above steps, and the opportunity constraint-based optimal power flow model is transformed into a deterministic optimal power flow model, a deterministic optimal power flow problem is solved, and the sensitivity factor matrixis updated; whether the transformed deterministic optimal power flow model converges is judged, if the model converges, an optimal solution is solved; if the model does not converge, the method returns 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 Applications(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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