CN109103871A - The direct-current grid method for analyzing stability more disturbed based on honourable lotus - Google Patents

The direct-current grid method for analyzing stability more disturbed based on honourable lotus Download PDF

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Publication number
CN109103871A
CN109103871A CN201811148185.5A CN201811148185A CN109103871A CN 109103871 A CN109103871 A CN 109103871A CN 201811148185 A CN201811148185 A CN 201811148185A CN 109103871 A CN109103871 A CN 109103871A
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China
Prior art keywords
stochastic
variable
direct
model
current grid
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CN201811148185.5A
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Chinese (zh)
Inventor
华英
王鸿
王致杰
程亚丽
韩紫薇
朱洋艳
王娟
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Shanghai Dianji University
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Shanghai Dianji University
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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J1/00Circuit arrangements for dc mains or dc distribution networks
    • H02J1/10Parallel operation of dc sources

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  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The present invention discloses a kind of direct-current grid method for analyzing stability more disturbed based on honourable lotus comprising following steps: constructs the stochastic model of DC micro power grid system: obtaining expectation and the characteristic root of variance and the state equation of the DC micro power grid system of the solution, stochastic variable of the stochastic model;Judge when the time, t tended to infinity, whether the real part of bounded and the characteristic root is respectively less than 0 for the expectation of the stochastic variable and variance, if so, the DC micro power grid system is Stochastic stable.The present invention is using the various enchancement factors in direct-current grid as stochastic variable, pass through the basic theories of stochastic differential equation, establish the stochastic model of the direct-current grid of the random process comprising all kinds, the random perturbation problem in direct-current grid can be more really reacted, the accuracy of direct-current grid stability analysis is improved.

Description

The direct-current grid method for analyzing stability more disturbed based on honourable lotus
Technical field
The present invention relates to electrical network fields, specifically, the present invention relates to a kind of DC micro-electrics more disturbed based on honourable lotus Net method for analyzing stability.
Background technique
For the unstable problem of direct-current grid, many scholars never be unfolded in face of the stability of direct-current grid by Tongfang Systematic analysis, specifically includes that
Using small-signal analysis method, the direct-current grid small-signal model under different control strategies is established, its impedance is analyzed Model analyzes the resonance caused by system interconnects;
Using large-signal analysis, establish the big signal stabilization model of direct-current grid, to constant power load, route and Resonance caused by filtering parameter is analyzed.
But it is micro- to direct current not can solve the random perturbations such as the fluctuation of power supply unit output power, the fluctuation of random load Stochastic volatility problem caused by power grid.
Summary of the invention
Direct-current grid is made in order to solve the random perturbations such as the fluctuation of power supply unit output power, the fluctuation of random load At stochastic volatility problem, the present invention provides it is a kind of based on honourable lotus more disturb direct-current grid stability analysis side Method.
To achieve the above object, a kind of direct-current grid method for analyzing stability packet more disturbed based on honourable lotus of the present invention Include following steps:
Step S101: the stochastic model of DC micro power grid system is constructed:
Wherein, z indicates the acquisition parameter in DC micro power grid system,Indicate the deterministic models of z, β (z, t, W (t)) stochastic variable introduced is indicated, W (t) is white Gaussian noise process, and t is the time;
Step S103: the expectation and variance and the direct-current grid of the solution, stochastic variable of the stochastic model are obtained The characteristic root of the state equation of system;
Step S105: judging when the time, t tended to infinity, the expectation of the stochastic variable and variance whether bounded and institute Whether the real part for stating characteristic root is respectively less than 0, if so, the DC micro power grid system is Stochastic stable.
Preferably, the direct-current grid method for analyzing stability more disturbed based on honourable lotus further includes following steps:
If it is not, then the DC micro power grid system is unstable.
Preferably, the step S101 includes the following steps:
It obtains and classifies acquisition parameter according to preset rules, wherein the classification of acquisition parameter includes that state variable and parameter become Amount;
Classification based on the acquisition parameter and the acquisition parameter constructs the stochastic model of the DC micro power grid system.
Preferably, the acquisition parameter include the revolving speed of blower, generator rotor angle, rotational speed difference, photovoltaic active power of output and Load active power, the preset rules are that the revolving speed of the blower, generator rotor angle, rotational speed difference are divided to state variable, will be described The active power of output of photovoltaic, load active power are divided to parametric variable.
Preferably, the stochastic model of the DC micro power grid system includes wind-powered electricity generation stochastic model, described to be based on the acquisition The stochastic model that the classification of parameter and the acquisition parameter constructs the DC micro power grid system includes the following steps:
Revolving speed, generator rotor angle, rotational speed difference and state variable based on blower construct wind-powered electricity generation stochastic model, wherein when acquisition is joined When number z is state variable x, stochastic model is
In formula:
Indicate the dynamic process of state variable x,
φ (x, t) indicates the motion profile of state variable x,
Indicate the dynamic process of stochastic variable β,
A (x, β, t) indicates the dynamic behaviour of stochastic variable,
The statistical property of b (x, β, t) expression stochastic variable.
Preferably, the stochastic model of the DC micro power grid system includes photovoltaic stochastic model and Stochastic Load Model, institute Stating the classification based on the acquisition parameter and the acquisition parameter and constructing the stochastic model of the DC micro power grid system includes such as Lower step:
Active power of output and parametric variable based on photovoltaic construct photovoltaic stochastic model;
Stochastic Load Model is constructed based on load active power and parametric variable, wherein when acquisition parameter z is that parameter is normal When measuring p, stochastic model is
P (t)=p0+β(p,t,W(t))
In formula:
Indicate the dynamic process of stochastic variable β,
A (p, β, t) indicates the dynamic behaviour of stochastic variable,
The statistical property of b (p, β, t) expression stochastic variable.
Compared with prior art, a kind of direct-current grid method for analyzing stability tool more disturbed based on honourable lotus of the present invention It has the advantages that:
A kind of direct-current grid method for analyzing stability more disturbed based on honourable lotus of the present invention will be in direct-current grid Various enchancement factors are established by the basic theories of stochastic differential equation comprising the random of all kinds as stochastic variable The stochastic model of the direct-current grid of process, and the direct-current grid stochastic model based on stochastic differential equation can be more true Reaction direct-current grid in random perturbation problem, thus, it is possible to the stable characters of more accurate analysis direct-current grid Condition overcomes the feature not accurate enough by deterministic models analysis direct-current grid stability, improves direct-current grid analysis of stability The accuracy of analysis.
The additional aspect of the present invention and advantage will be set forth in part in the description, these will become from the following description Obviously, or practice through the invention is recognized.
Detailed description of the invention
Above-mentioned and/or additional aspect and advantage of the invention will become from the following description of the accompanying drawings of embodiments Obviously and it is readily appreciated that, in which:
Fig. 1 is a kind of method of the direct-current grid method for analyzing stability more disturbed based on honourable lotus of the embodiment of the present invention Flow diagram.
Specific embodiment
The embodiment of the present invention is described below in detail, examples of the embodiments are shown in the accompanying drawings, wherein from beginning to end Same or similar label indicates same or similar element or element with the same or similar functions.Below with reference to attached The embodiment of figure description is exemplary, and for explaining only the invention, and is not construed as limiting the claims.
Referring to Fig. 1, a kind of direct-current grid method for analyzing stability more disturbed based on honourable lotus of the embodiment of the present invention, It includes the following steps:
Step S101: the stochastic model of DC micro power grid system is constructed:
Wherein, z indicates the acquisition parameter in DC micro power grid system,Indicate the deterministic models of z, β (z, t, W (t)) stochastic variable introduced is indicated, W (t) is white Gaussian noise process, and t is the time.
Specifically, step S101 includes the following steps:
It obtains and classifies acquisition parameter according to preset rules, wherein the classification of acquisition parameter includes that state variable and parameter become Amount;
Stochastic model based on the classification of acquisition parameter and acquisition parameter building DC micro power grid system.
Preferably, acquisition parameter includes the active power of output and load of the revolving speed of blower, generator rotor angle, rotational speed difference, photovoltaic Active power, preset rules are that the revolving speed of blower, generator rotor angle, rotational speed difference are divided to state variable, by the output wattful power of photovoltaic Rate, load active power are divided to parametric variable.
In some embodiments, the stochastic model of DC micro power grid system includes wind-powered electricity generation stochastic model, then based on acquisition The stochastic model of the classification of parameter and acquisition parameter building DC micro power grid system includes the following steps:
Revolving speed, generator rotor angle, rotational speed difference and state variable based on blower construct wind-powered electricity generation stochastic model, wherein when acquisition is joined When number z is state variable x, stochastic model is
In formula:
Indicate the dynamic process of state variable x,
φ (x, t) indicates the motion profile of state variable x,
Indicate the dynamic process of stochastic variable β,
A (x, β, t) indicates the dynamic behaviour of stochastic variable,
The statistical property of b (x, β, t) expression stochastic variable.
In some embodiments, the stochastic model of DC micro power grid system further includes that photovoltaic stochastic model and load are random Model, the then stochastic model based on the classification of acquisition parameter and acquisition parameter building DC micro power grid system include the following steps:
Active power of output and parametric variable based on photovoltaic construct photovoltaic stochastic model;
Stochastic Load Model is constructed based on load active power and parametric variable, wherein when acquisition parameter z is that parameter is normal When measuring p, stochastic model is
P (t)=p0+β(p,t,W(t))
In formula:
Indicate the dynamic process of stochastic variable β,
A (p, β, t) indicates the dynamic behaviour of stochastic variable,
The statistical property of b (p, β, t) expression stochastic variable.
Step S103: the expectation and variance and the direct-current grid of the solution, stochastic variable of the stochastic model are obtained The characteristic root of the state equation of system.
Preferably, step S103 is solved using numerical value software for calculation.
Step S105: judging when the time, t tended to infinity, the expectation of the stochastic variable and variance whether bounded and institute Whether the real part for stating characteristic root is respectively less than 0, if so, the DC micro power grid system is Stochastic stable.
It is understood that if when time t tends to infinity, the expectation of stochastic variable and variance is unbounded or characteristic root Real part is greater than 0, then DC micro power grid system is unstable.
Compared with prior art, a kind of direct-current grid stability analysis more disturbed based on honourable lotus of the embodiment of the present invention Method has the following beneficial effects:
A kind of direct-current grid method for analyzing stability more disturbed based on honourable lotus of the embodiment of the present invention is by DC micro-electric Various enchancement factors in net are established by the basic theories of stochastic differential equation comprising all kinds as stochastic variable Random process direct-current grid stochastic model, and the direct-current grid stochastic model based on stochastic differential equation can be more Add the random perturbation problem in true reaction direct-current grid, thus, it is possible to the stabilizations of more accurate analysis direct-current grid Character condition overcomes the feature not accurate enough by deterministic models analysis direct-current grid stability, improves direct-current grid and stablize Property analysis accuracy.
The above is only some embodiments of the invention, it is noted that for the ordinary skill people of the art For member, various improvements and modifications may be made without departing from the principle of the present invention, these improvements and modifications are also answered It is considered as protection scope of the present invention.

Claims (6)

1. a kind of direct-current grid method for analyzing stability more disturbed based on honourable lotus, which is characterized in that described based on scene The direct-current grid method for analyzing stability that lotus disturbs more includes the following steps:
Step S101: the stochastic model of DC micro power grid system is constructed:
Wherein, z indicates the acquisition parameter in DC micro power grid system,Indicate the deterministic models of z, β (z, t, W (t)) Indicate the stochastic variable introduced, W (t) is white Gaussian noise process, and t is the time;
Step S103: expectation and variance and the DC micro power grid system of the solution, stochastic variable of the stochastic model are obtained State equation characteristic root;
Step S105: judging when the time, t tended to infinity, the expectation of the stochastic variable and variance whether bounded and the spy Whether the real part for levying root is respectively less than 0, if so, the DC micro power grid system is Stochastic stable.
2. the direct-current grid method for analyzing stability more disturbed based on honourable lotus as described in claim 1, which is characterized in that The direct-current grid method for analyzing stability more disturbed based on honourable lotus further includes following steps:
If it is not, then the DC micro power grid system is unstable.
3. the direct-current grid method for analyzing stability more disturbed based on honourable lotus as described in claim 1, which is characterized in that The step S101 includes the following steps:
Obtain and according to preset rules classify acquisition parameter, wherein the classification of acquisition parameter includes state variable and parametric variable;
Classification based on the acquisition parameter and the acquisition parameter constructs the stochastic model of the DC micro power grid system.
4. the direct-current grid method for analyzing stability more disturbed based on honourable lotus as claimed in claim 3, which is characterized in that The acquisition parameter includes revolving speed, generator rotor angle, rotational speed difference, the active power of output of photovoltaic and the load active power of blower, institute Stating preset rules is that the revolving speed of the blower, generator rotor angle, rotational speed difference are divided to state variable, by the output wattful power of the photovoltaic Rate, load active power are divided to parametric variable.
5. the direct-current grid method for analyzing stability more disturbed based on honourable lotus as claimed in claim 4, which is characterized in that The stochastic model of the DC micro power grid system includes wind-powered electricity generation stochastic model, described to be joined based on the acquisition parameter and the acquisition The stochastic model that several classifications constructs the DC micro power grid system includes the following steps:
Revolving speed, generator rotor angle, rotational speed difference and state variable based on blower construct wind-powered electricity generation stochastic model, wherein when acquisition parameter z is When state variable x, stochastic model is
In formula:
Indicate the dynamic process of state variable x,
φ (x, t) indicates the motion profile of state variable x,
Indicate the dynamic process of stochastic variable β,
A (x, β, t) indicates the dynamic behaviour of stochastic variable,
The statistical property of b (x, β, t) expression stochastic variable.
6. the direct-current grid method for analyzing stability more disturbed based on honourable lotus as claimed in claim 4, which is characterized in that The stochastic model of the DC micro power grid system includes photovoltaic stochastic model and Stochastic Load Model, described based on acquisition ginseng The stochastic model that several and the acquisition parameter classification constructs the DC micro power grid system includes the following steps:
Active power of output and parametric variable based on photovoltaic construct photovoltaic stochastic model;
Stochastic Load Model is constructed based on load active power and parametric variable, wherein when acquisition parameter z is constants p When, stochastic model is
P (t)=p0+β(p,t,W(t))
In formula:
Indicate the dynamic process of stochastic variable β,
A (p, β, t) indicates the dynamic behaviour of stochastic variable,
The statistical property of b (p, β, t) expression stochastic variable.
CN201811148185.5A 2018-09-29 2018-09-29 The direct-current grid method for analyzing stability more disturbed based on honourable lotus Pending CN109103871A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112993969A (en) * 2021-04-30 2021-06-18 安徽工业大学 Large signal stability analysis method for direct-current micro-grid cluster
CN118036225A (en) * 2024-01-26 2024-05-14 国网湖北省电力有限公司电力科学研究院 DC micro-grid topological structure model selection method based on stability analysis

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101609480A (en) * 2009-07-13 2009-12-23 清华大学 Inter-node phase relation identification method of electric system based on wide area measurement noise signal
CN103915839A (en) * 2014-04-08 2014-07-09 华北电力大学 Method for analyzing stochastic stability of electric power system containing wind electricity
WO2014181081A1 (en) * 2013-05-07 2014-11-13 Aston University Energy transfer apparatus and distribution control method therefor
CN106849189A (en) * 2017-03-02 2017-06-13 国家电网公司 Consider the micro-capacitance sensor economy and method for optimizing stability of regenerative resource randomness
CN107834593A (en) * 2017-11-02 2018-03-23 西安理工大学 A kind of droop control type isolated island micro-capacitance sensor static voltage stability probability evaluation method of failure

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101609480A (en) * 2009-07-13 2009-12-23 清华大学 Inter-node phase relation identification method of electric system based on wide area measurement noise signal
WO2014181081A1 (en) * 2013-05-07 2014-11-13 Aston University Energy transfer apparatus and distribution control method therefor
CN103915839A (en) * 2014-04-08 2014-07-09 华北电力大学 Method for analyzing stochastic stability of electric power system containing wind electricity
CN106849189A (en) * 2017-03-02 2017-06-13 国家电网公司 Consider the micro-capacitance sensor economy and method for optimizing stability of regenerative resource randomness
CN107834593A (en) * 2017-11-02 2018-03-23 西安理工大学 A kind of droop control type isolated island micro-capacitance sensor static voltage stability probability evaluation method of failure

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
许纹碧: "随机复杂电力系统稳定性分析与应用研究", 《上海交通大学硕士学位论文》 *

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112993969A (en) * 2021-04-30 2021-06-18 安徽工业大学 Large signal stability analysis method for direct-current micro-grid cluster
CN112993969B (en) * 2021-04-30 2022-09-30 安徽工业大学 Large signal stability analysis method for direct-current micro-grid cluster
CN118036225A (en) * 2024-01-26 2024-05-14 国网湖北省电力有限公司电力科学研究院 DC micro-grid topological structure model selection method based on stability analysis

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