CN114123170B - Power distribution network fault recovery method under flood disasters - Google Patents
Power distribution network fault recovery method under flood disasters Download PDFInfo
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- CN114123170B CN114123170B CN202111338642.9A CN202111338642A CN114123170B CN 114123170 B CN114123170 B CN 114123170B CN 202111338642 A CN202111338642 A CN 202111338642A CN 114123170 B CN114123170 B CN 114123170B
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- 238000011084 recovery Methods 0.000 title claims abstract description 46
- 238000000034 method Methods 0.000 title claims abstract description 40
- 238000009434 installation Methods 0.000 claims abstract description 9
- 238000012544 monitoring process Methods 0.000 claims abstract description 8
- 230000006641 stabilisation Effects 0.000 claims abstract description 5
- 238000011105 stabilization Methods 0.000 claims abstract description 5
- 238000007665 sagging Methods 0.000 claims description 21
- 238000004364 calculation method Methods 0.000 claims description 3
- 238000012937 correction Methods 0.000 claims description 3
- 238000005457 optimization Methods 0.000 claims description 3
- 238000011217 control strategy Methods 0.000 abstract description 6
- 238000010586 diagram Methods 0.000 description 4
- 230000006978 adaptation Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 239000003990 capacitor Substances 0.000 description 1
- 238000011156 evaluation Methods 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 238000010248 power generation Methods 0.000 description 1
- 230000001502 supplementing effect Effects 0.000 description 1
Classifications
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/001—Methods to deal with contingencies, e.g. abnormalities, faults or failures
- H02J3/00125—Transmission line or load transient problems, e.g. overvoltage, resonance or self-excitation of inductive loads
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/12—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
- H02J3/16—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by adjustment of reactive power
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/30—Reactive power compensation
Abstract
The invention discloses a power distribution network fault recovery method under flood disasters, which comprises the following steps of S1, evaluating a critical load fault recovery rate according to flood disaster historical data of a preset time period of a designated power distribution area, and determining a power spring installation position; and S2, monitoring bus voltage according to the determined critical load and non-critical load, controlling the power spring to absorb reactive power when the bus voltage is higher than a high threshold value, and controlling the power spring to generate reactive power when the bus voltage is lower than a bottom threshold value so as to realize voltage stabilization of the critical load. The method comprises the steps of evaluating the critical load fault recovery rate according to flood disaster historical data of a distribution area, and determining the installation position of a power spring; the sag control strategy of the power spring is provided, so that the voltage stability of a key load and the power supply and demand balance are ensured, and the power supply quality is improved.
Description
Technical Field
The invention relates to the technical field of power supply recovery of power distribution networks, in particular to a power distribution network fault recovery method under flood disasters.
Background
The power distribution network fault can cause power failure accidents and cause economic losses of users and power supply companies, so that the power supply recovery capability of the power distribution network is crucial to the power supply reliability.
The key load power supply restoration of the traditional power distribution network is mainly realized through a wind power generation system or a group switching Capacitor (CB) based on a power converter, but after an extreme natural event occurs, the key load cannot be reliably powered due to the fluctuation of wind power.
Therefore, a flexible, efficient critical load fault recovery method is needed to achieve reliability of the power supply.
Disclosure of Invention
The invention aims to provide a power distribution network fault recovery method under flood disasters, which improves the power supply quality after power supply recovery.
In order to solve the above technical problems, an embodiment of the present invention provides a method for recovering a power distribution network fault under a flood disaster, including
S1, evaluating a critical load fault recovery rate according to flood disaster historical data of a preset time period of a designated power distribution area, and determining an installation position of a power spring;
And S2, monitoring bus voltage according to the determined critical load and non-critical load, controlling the power spring to absorb reactive power when the bus voltage is higher than a high threshold value, and controlling the power spring to generate reactive power when the bus voltage is lower than a bottom threshold value so as to realize voltage stabilization of the critical load.
Wherein, the S1 comprises:
dividing the load in the power distribution network into a primary load, a secondary load and a tertiary load according to economic requirements;
The first-level load is a key load, the weight is highest, the third-level load is a non-key load, and the weight is lowest; the secondary load calculates a failure recovery rate F according to the following formula:
Where i c is the number of secondary load nodes, n critical is the total number of secondary loads, Active power lost for secondary node i c,/>And for the total load quantity at the secondary node i c, the secondary load fault recovery rate is lower than a preset value, judging as a non-critical load, otherwise judging as a critical load, and connecting the power spring in series with the non-critical load branch connected in parallel with the critical load.
Wherein, the S2 further includes:
the state of the power spring is controlled through a power spring sagging control specific model, wherein the power spring sagging control specific model is as follows:
Wherein the method comprises the steps of And/>The reactive power of the power spring and the bus voltage under the scene s of time t are respectively; /(I)And/>The upper and lower limits of the sag coefficient based on stability analysis; /(I)Reactive power and bus voltage for the desired power spring.
Wherein, before the step S1, the method comprises the following steps:
S3, controlling the OLTC and the CB to realize fault recovery on the key load of the power distribution network.
Wherein, the S2 includes:
S21, obtaining the optimal tap positions of the CB and the OLTC and the output value of the power spring through calculation to obtain the minimum power consumption of the transformer substation;
s22, acquiring an expected working point and a sagging coefficient of a power spring required for minimizing power deviation of a transformer substation;
S23, the sagging coefficient of the power spring is sent to a power spring controller, and the power spring controller controls reactive power output of the power spring according to voltage data obtained through real-time monitoring, so that fault recovery of the key load is achieved.
Wherein, S21 includes:
Calculating the lowest power consumption of the transformer substation by adopting an objective function;
The objective function is:
Wherein the method comprises the steps of Active power of the transformer substation at t time; omega Tl is a time interval set, and the objective function needs to meet ZIP load model, tide equation, reactive power constraint of power spring, OLTC and CB related constraint and power grid operation safety constraint.
Wherein, the S22 includes:
calculating to obtain the minimized power deviation of the transformer substation, optimizing to obtain the expected working point and the sagging coefficient of the power spring, and adopting an optimization function as follows:
wherein ρ s is scene s occurrence probability; for τ ST time scenario s power deviations, the following formula is used:
Wherein the method comprises the steps of And for tau ST time scenario s, the active power of the transformer substation is required to be optimized, and the droop control model, the tide equation and the power grid safety constraint are required to be met by the optimizing function.
Wherein, the S23 includes:
the key load voltage is controlled in real time by changing the reactive power output of the power spring, so that the power supply is restored and the voltage stability after the power supply is restored is realized by the following formula:
Wherein the method comprises the steps of Reactive power calculated for a linear droop function (7), constraint (8) is a correction to the reactive power output with the power spring capacity limit.
Compared with the prior art, the power distribution network fault recovery method under the flood disaster provided by the embodiment of the invention has the following advantages:
According to the power distribution network fault recovery method under the flood disasters, the key load fault recovery rate is evaluated according to the historical data of the flood disasters of the power distribution areas, and the power spring installation position is determined; the sag control strategy of the power spring is provided, so that the voltage stability of a key load and the power supply and demand balance are ensured, and the power supply quality is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic step flow diagram of a specific implementation manner of a power distribution network fault recovery method under a flood disaster according to an embodiment of the present invention;
Fig. 2 is a schematic step flow diagram of another specific implementation manner of a power distribution network fault recovery method under a flood disaster according to an embodiment of the present invention;
fig. 3 is a schematic flowchart of step S2 in an embodiment of a method for recovering a power distribution network from a flood disaster according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1 to 3, fig. 1 is a schematic step flow diagram of a specific implementation manner of a power distribution network fault recovery method under a flood disaster according to an embodiment of the present invention; fig. 2 is a schematic step flow diagram of another specific implementation manner of a power distribution network fault recovery method under a flood disaster according to an embodiment of the present invention; fig. 3 is a schematic flowchart of step S2 in an embodiment of a method for recovering a power distribution network from a flood disaster according to an embodiment of the present invention.
In one specific embodiment, the method for recovering the power distribution network fault under the flood disaster comprises the following steps of
S1, evaluating a critical load fault recovery rate according to flood disaster historical data of a preset time period of a designated power distribution area, and determining an installation position of a power spring;
And S2, monitoring bus voltage according to the determined critical load and non-critical load, controlling the power spring to absorb reactive power when the bus voltage is higher than a high threshold value, and controlling the power spring to generate reactive power when the bus voltage is lower than a bottom threshold value so as to realize voltage stabilization of the critical load.
The method comprises the steps of evaluating the critical load fault recovery rate according to flood disaster historical data of a distribution area, and determining the installation position of a power spring; the sag control strategy of the power spring is provided, so that the voltage stability of a key load and the power supply and demand balance are ensured, and the power supply quality is improved.
To further enhance the accurate determination of the evaluation, in one embodiment, the S1 comprises:
dividing the load in the power distribution network into a primary load, a secondary load and a tertiary load according to economic requirements;
The first-level load is a key load, the weight is highest, the third-level load is a non-key load, and the weight is lowest; the secondary load calculates a failure recovery rate F according to the following formula:
Where i c is the number of secondary load nodes, n critical is the total number of secondary loads, Active power lost for secondary node i c,/>And for the total load quantity at the secondary node i c, the secondary load fault recovery rate is lower than a preset value, judging as a non-critical load, otherwise judging as a critical load, and connecting the power spring in series with the non-critical load branch connected in parallel with the critical load.
It should be noted that in the present application, it is not necessarily required to divide the load into three levels, but more detailed division may be performed according to other dividing manners.
The present application is not limited to how to achieve the power balance, including but not limited to a droop control strategy using a wire harness, and in one embodiment, the step S2 further includes:
the state of the power spring is controlled through a power spring sagging control specific model, wherein the power spring sagging control specific model is as follows:
Wherein the method comprises the steps of And/>The reactive power of the power spring and the bus voltage under the scene s of time t are respectively; /(I)And/>The upper and lower limits of the sag coefficient based on stability analysis; /(I)Reactive power and bus voltage for the desired power spring.
Still further, to further increase the level of fault recovery, in one embodiment, before said S1, it comprises:
And S3, controlling the OLTC and the CB to realize fault recovery on the key load of the power distribution network according to the control mode of the power spring.
By combining the OLTC, the CB and the power spring together to realize fault recovery of the key load of the power distribution network, the control accuracy can be improved, and the control diversity can be increased.
The present application is not limited to OLTC, CB control strategies, and in one embodiment, S2 includes:
S21, obtaining the optimal tap positions of the CB and the OLTC and the output value of the power spring through calculation to obtain the minimum power consumption of the transformer substation;
s22, acquiring an expected working point and a sagging coefficient of a power spring required for minimizing power deviation of a transformer substation;
S23, the sagging coefficient of the power spring is sent to a power spring controller, and the power spring controller controls reactive power output of the power spring according to voltage data obtained through real-time monitoring, so that fault recovery of the key load is achieved.
The core idea of the algorithm in the application is that the optimal tap positions of the CB and the OLTC and the output value of the power spring are obtained by seeking the minimization of the power consumption of the transformer substation in consideration of the slow response speed of the CB and the OLTC, wherein the first stage is a long-term planning stage. And in the second stage, the power deviation of the transformer substation is minimized, and the expected working point and the sagging coefficient of the power spring required in the step S2 are obtained. And because the fluctuation of DG possibly causes the voltage to violate the lower limit, the sagging coefficient of the power spring is sent to the power spring controller according to the result of the second stage, and the controller controls the reactive output of the power spring according to the voltage data monitored in real time in the third stage, so that the fault recovery of the critical load is realized, and the operation safety of the critical load which is not subjected to disaster is ensured.
The first stage algorithm aims to seek the lowest power consumption of the transformer substation and save energy, and in one embodiment, the step S21 includes:
Calculating the lowest power consumption of the transformer substation by adopting an objective function;
The objective function is:
Wherein the method comprises the steps of Active power of the transformer substation at t time; omega Tl is a time interval set, and the objective function needs to meet ZIP load model, tide equation, reactive power constraint of power spring, OLTC and CB related constraint and power grid operation safety constraint.
The second stage algorithm aims at minimizing power deviation of the transformer substation, and optimizing to obtain the expected working point and the sagging coefficient of the power spring, specifically, the step S32 includes:
calculating to obtain the minimized power deviation of the transformer substation, optimizing to obtain the expected working point and the sagging coefficient of the power spring, and adopting an optimization function as follows:
wherein ρ s is scene s occurrence probability; For τ ST time scenario s power deviations, it can be expressed by:
Wherein the method comprises the steps of And for tau ST time scenario s, the active power of the transformer substation is required to be optimized, and the droop control model, the tide equation and the power grid safety constraint are required to be met by the optimizing function.
The third stage algorithm aims to control the key load voltage in real time by changing the reactive output of the power spring, so as to realize the power restoration and the voltage stabilization after the power restoration, and is a local control stage, specifically, the S23 comprises:
the key load voltage is controlled in real time by changing the reactive power output of the power spring, so that the power supply is restored and the voltage stability after the power supply is restored is realized by the following formula:
Wherein the method comprises the steps of Reactive power calculated for a linear droop function; constraint (8) is a correction to the reactive power output with the power spring capacity limit.
In the application, the power recovery can be carried out by adopting the power spring only, or the power recovery can be carried out by adopting the power spring and the CB and the OLTC in combination, and the CB and the OLTC are needed to be adopted first, then the power spring is used for supplementing, or other modes are needed.
In one embodiment of the application, the computational flow of the algorithm comprises the following 4 steps,
1) And calculating a secondary load fault recovery rate (1) according to the flood disaster historical data of the distribution transformer area, and obtaining a key load position through a threshold value, so that the installation of the power spring is facilitated.
2) And optimizing CB and OLTC tap positions and reactive power output values of the power springs by using a gurobi commercial solver with the aim of minimizing power consumption of the transformer substation.
3) Controlling the frequency of the power distribution network to be constant by taking the active deviation of the transformer substation as a target, and optimizing through a gurobi commercial solver to obtain the sagging coefficient and the expected working point of the power spring;
4) After the sagging coefficient and the expected working point are obtained by the power spring, sagging control is carried out, and the power supply of the key load is recovered by controlling reactive power; and then monitoring the voltage change of the key load after the fault recovery in real time, and ensuring the power supply quality of the key load after the power supply recovery.
In summary, according to the power distribution network fault recovery method under the flood disasters provided by the embodiment of the invention, the key load fault recovery rate is evaluated according to the flood disaster history data of the power distribution area, and the power spring installation position is determined; the sag control strategy of the power spring is provided, so that the voltage stability of a key load and the power supply and demand balance are ensured, and the power supply quality is improved.
The method for recovering the power distribution network faults under the flood disasters is described in detail. The principles and embodiments of the present invention have been described herein with reference to specific examples, the description of which is intended only to facilitate an understanding of the method of the present invention and its core ideas. It should be noted that it will be apparent to those skilled in the art that various modifications and adaptations of the invention can be made without departing from the principles of the invention and these modifications and adaptations are intended to be within the scope of the invention as defined in the following claims.
Claims (6)
1. A power distribution network fault recovery method under flood disasters is characterized by comprising the following steps of
S1, evaluating a critical load fault recovery rate according to flood disaster historical data of a preset time period of a designated power distribution area, and determining an installation position of a power spring;
S2, monitoring bus voltage according to the determined critical load and non-critical load, controlling the power spring to absorb reactive power when the bus voltage is higher than a high threshold value, and controlling the power spring to generate reactive power when the bus voltage is lower than a bottom threshold value so as to realize voltage stabilization of the critical load;
Wherein, the S2 includes:
S21, obtaining optimal tap positions of CB and OLTC and output values of the power springs through calculation to minimize power consumption of the transformer substation;
s22, acquiring an expected working point and a sagging coefficient of the power spring required for minimizing power deviation of the transformer substation;
S23, the sagging coefficient of the power spring is sent to a power spring controller, and the power spring controller controls reactive power output of the power spring according to voltage data obtained through real-time monitoring, so that fault recovery of the key load is achieved;
The step S23 includes:
the key load voltage is controlled in real time by changing the reactive power output of the power spring, so that the power supply is restored and the voltage stability after the power supply is restored is realized by the following formula:
Wherein the method comprises the steps of Reactive power calculated for the linear droop function (7); constraint (8) is a correction to reactive power output with the power spring capacity limit.
2. The method for recovering from a power distribution network failure under a flood disaster according to claim 1, wherein S1 comprises:
dividing the load in the power distribution network into a primary load, a secondary load and a tertiary load according to economic requirements;
The first-level load is a key load, the weight is highest, the third-level load is a non-key load, and the weight is lowest; the secondary load calculates a failure recovery rate F according to the following formula:
Where i c is the number of secondary load nodes, n critical is the total number of secondary loads, Active power lost for secondary node ic,/>And for the total load quantity at the secondary node i c, the secondary load fault recovery rate is lower than a preset value, judging as a non-critical load, otherwise judging as a critical load, and connecting the power spring in series with the non-critical load branch connected in parallel with the critical load.
3. The method for recovering from a power distribution network failure under a flood disaster according to claim 2, wherein S2 further comprises:
the state of the power spring is controlled through a power spring sagging control specific model, wherein the power spring sagging control specific model is as follows:
Wherein the method comprises the steps of And/>The reactive power of the power spring and the bus voltage under the scene s of time t are respectively; /(I)And/>The upper and lower limits of the sag coefficient based on stability analysis; /(I)Reactive power and bus voltage for the desired power spring.
4. A power distribution network fault recovery method under a flood disaster as claimed in claim 3, comprising, prior to said S1:
S3, controlling the OLTC and the CB to realize fault recovery on key loads of the power distribution network.
5. The method for recovering from a power distribution network failure under a flood disaster according to claim 4, wherein S21 comprises:
Calculating the lowest power consumption of the transformer substation by adopting an objective function;
The objective function is:
Wherein the method comprises the steps of Active power of the transformer substation at t time; /(I)For a set of time intervals, the objective function needs to satisfy ZIP load models, power flow equations, power spring reactive constraints, OLTC and CB related constraints, and grid operation safety constraints.
6. The method for recovering from a power distribution network failure under a flood disaster according to claim 5, wherein S22 comprises:
calculating to obtain the minimized power deviation of the transformer substation, optimizing to obtain the expected working point and the sagging coefficient of the power spring, and adopting an optimization function as follows:
wherein ρ s is scene s occurrence probability; For τ ST time scenario s power deviations, the following formula is used:
Wherein the method comprises the steps of And for tau ST time scenario s, the active power of the transformer substation is required to be optimized, and the droop control model, the tide equation and the power grid safety constraint are required to be met by the optimizing function.
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| CN112398145A (en) * | 2020-11-25 | 2021-02-23 | 国网上海市电力公司 | Intelligent load switching control method for power spring |
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2021
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| Publication number | Priority date | Publication date | Assignee | Title |
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| WO2018049737A1 (en) * | 2016-09-18 | 2018-03-22 | 国电南瑞科技股份有限公司 | Safe correction calculation method based on partition load control |
| CN112398145A (en) * | 2020-11-25 | 2021-02-23 | 国网上海市电力公司 | Intelligent load switching control method for power spring |
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