CN114123170A - Power distribution network fault recovery method under flood disaster - Google Patents

Power distribution network fault recovery method under flood disaster Download PDF

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Publication number
CN114123170A
CN114123170A CN202111338642.9A CN202111338642A CN114123170A CN 114123170 A CN114123170 A CN 114123170A CN 202111338642 A CN202111338642 A CN 202111338642A CN 114123170 A CN114123170 A CN 114123170A
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power
load
power spring
spring
distribution network
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CN114123170B (en
Inventor
喻建波
田甜
黎涛
刘超
叶樊
廖綦楠
程强
周念成
陶安琪
王强钢
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Chongqing Electric Power Design Institute Co ltd
Chongqing University
State Grid Corp of China SGCC
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Chongqing Electric Power Design Institute Co ltd
Chongqing University
State Grid Corp of China SGCC
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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
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/001Methods to deal with contingencies, e.g. abnormalities, faults or failures
    • H02J3/00125Transmission line or load transient problems, e.g. overvoltage, resonance or self-excitation of inductive loads
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/12Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
    • H02J3/16Circuit 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
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • YGENERAL 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
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E40/00Technologies for an efficient electrical power generation, transmission or distribution
    • Y02E40/30Reactive power compensation

Abstract

The invention discloses a power distribution network fault recovery method under a flood disaster, which comprises the following steps of S1, evaluating the recovery rate of key load faults according to the historical data of the flood disaster in a preset time period of a specified power distribution area, and determining the installation position of a power spring; and S2, monitoring the 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, and controlling the power spring to generate reactive power when the bus voltage is lower than a bottom threshold, so as to realize the voltage stabilization of the critical load. Evaluating the recovery rate of the key load fault according to the historical data of the flood disasters of the distribution area, and determining the installation position of the power spring; and a power spring droop control strategy is provided, so that the stability of the key load voltage and the power supply and demand balance are ensured, and the power supply quality is improved.

Description

Power distribution network fault recovery method under flood disaster
Technical Field
The invention relates to the technical field of power supply recovery of a power distribution network, in particular to a power distribution network fault recovery method under a flood disaster.
Background
The power distribution network fault can cause power failure accidents and cause economic losses of users and power supply companies, so the power supply recovery capability of the power distribution network is very important to the power supply reliability.
The traditional power distribution network key load power supply recovery is mainly realized by a wind energy power generation system based on a power converter or a group switching Capacitor (CB), but after an extreme natural event occurs, the key load cannot be reliably supplied with power due to the fluctuation of wind power.
Therefore, a flexible and efficient method for recovering from a critical load fault is needed to achieve reliability of power supply.
Disclosure of Invention
The invention aims to provide a power distribution network fault recovery method under a flood disaster, and the power supply quality after power supply recovery is improved.
In order to solve the technical problem, an embodiment of the present invention provides a power distribution network fault recovery method under a flood disaster, including
S1, evaluating key load fault recovery rate according to flood disaster historical data of a specified power distribution area in a preset time period, and determining the installation position of the power spring;
and S2, monitoring the 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, and controlling the power spring to generate reactive power when the bus voltage is lower than a bottom threshold, so as to realize the voltage stabilization of the critical load.
Wherein the S1 includes:
dividing the load in the power distribution network into a first-level load, a second-level load and a third-level load according to economic requirements;
the first-level load is a key load and has the highest weight, the third-level load is a non-key load and has the lowest weight; the secondary load calculates a failure recovery rate F according to the following formula:
Figure BDA0003351508860000021
wherein icIs the number of secondary load nodes, ncriticalThe total number of the secondary loads is,
Figure BDA0003351508860000022
is a secondary node icThe loss of active power is a function of,
Figure BDA0003351508860000023
is a secondary node icAnd determining the total load, wherein the secondary load fault recovery rate is lower than a preset value, and determining the load as a non-critical load, otherwise determining the load as a critical load, and the power spring is connected in series with the non-critical load branch circuit connected in parallel with the critical load.
Wherein the S2 further includes:
controlling the state of the power spring through a power spring droop control concrete model, wherein the power spring droop control concrete model comprises the following steps:
Figure BDA0003351508860000024
Figure BDA0003351508860000025
wherein
Figure BDA0003351508860000026
And
Figure BDA0003351508860000027
respectively, the reactive power of the power spring and the voltage of a bus under a time t scene s;
Figure BDA0003351508860000028
and
Figure BDA0003351508860000029
upper and lower limit of droop coefficient based on stability analysis;
Figure BDA00033515088600000210
the desired power spring reactive power and bus voltage.
Wherein before the S1, the method comprises:
and 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 CB, the optimal tap position of the OLTC and the output value of the power spring by calculating to obtain the minimum power consumption of the transformer substation;
s22, obtaining the minimum substation power deviation, the required expected working point and droop coefficient of the power spring;
and S23, sending the droop coefficient of the power spring to a power spring controller, and controlling the reactive output of the power spring by the power spring controller according to the voltage data obtained by real-time monitoring to realize the fault recovery of the critical load.
Wherein the S21 includes:
calculating the lowest power consumption of the transformer substation by adopting an objective function;
the objective function is:
Figure BDA0003351508860000031
wherein
Figure BDA0003351508860000032
The active power of the transformer substation is t time; omegaTlFor a time interval set, the target function needs to satisfy a ZIP load model, a load flow equation, power spring reactive constraints, OLTC and CB related constraints, and grid operation safety constraints.
Wherein the S22 includes:
calculating to obtain the minimum power deviation of the transformer substation, optimizing to obtain the expected working point and the droop coefficient of the power spring, and adopting an optimization function as follows:
Figure BDA0003351508860000033
where ρ issIs the probability of occurrence of the scene s;
Figure BDA0003351508860000034
is tauSTThe time-scene s power offset is represented by:
Figure BDA0003351508860000035
wherein
Figure BDA0003351508860000036
Is tauSTAnd the time scene s is the active power of the transformer substation, and the optimization function needs to meet a droop control model, a power flow equation and power grid safety constraint.
Wherein the S23 includes:
the key load voltage is controlled in real time by changing the reactive output of the power spring, so that the power supply recovery and the voltage stability after the power supply recovery are realized, and the method is realized by the following formula:
Figure RE-GDA0003492447390000037
Figure RE-GDA0003492447390000038
wherein
Figure RE-GDA0003492447390000039
-constraining (8) the correction to the reactive power output with the power spring capacity limit for the reactive power calculated for the linear droop function (7).
Compared with the prior art, the method for recovering the power distribution network fault under the flood disaster provided by the embodiment of the invention has the following advantages:
according to the method for recovering the power distribution network fault under the flood disaster, provided by the embodiment of the invention, the key load fault recovery rate is evaluated according to the historical data of the flood disaster of the power distribution network area, and the installation position of the power spring is determined; and a power spring droop control strategy is provided, so that the stability of the key load voltage 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 needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a schematic flowchart illustrating a procedure of a method for recovering a power distribution network fault in a flood disaster according to an embodiment of the present invention;
fig. 2 is a schematic flowchart illustrating a procedure of a method for recovering a power distribution network fault in a flood disaster according to another embodiment of the present invention;
fig. 3 is a flowchart illustrating the step S2 in an embodiment of the method for recovering a power distribution network fault in a flood disaster according to the embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-3, fig. 1 is a schematic flowchart illustrating a process of a method for recovering a fault of a power distribution network under a flood disaster according to an embodiment of the present invention; fig. 2 is a schematic flowchart illustrating steps 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 flowchart illustrating the step S2 in an embodiment of the method for recovering a power distribution network fault in a flood disaster according to the embodiment of the present invention.
In a specific embodiment, the method for recovering the power distribution network fault in the flood disaster comprises the following steps
S1, evaluating key load fault recovery rate according to flood disaster historical data of a specified power distribution area in a preset time period, and determining the installation position of the power spring;
and S2, monitoring the 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, and controlling the power spring to generate reactive power when the bus voltage is lower than a bottom threshold, so as to realize the voltage stabilization of the critical load.
Evaluating the recovery rate of the key load fault according to the historical data of the flood disasters of the distribution area, and determining the installation position of the power spring; a power spring droop control strategy is provided, key load voltage stability and power supply and demand balance are guaranteed, and power supply quality is improved.
To further improve the accuracy of the evaluation, in one embodiment, the S1 includes:
dividing the load in the power distribution network into a first-level load, a second-level load and a third-level load according to economic requirements;
the first-level load is a key load and has the highest weight, the third-level load is a non-key load and has the lowest weight; the secondary load calculates a failure recovery rate F according to the following formula:
Figure BDA0003351508860000051
wherein icIs the number of secondary load nodes, ncriticalThe total number of the secondary loads is,
Figure BDA0003351508860000052
is a secondary node icThe loss of active power is a function of,
Figure BDA0003351508860000053
is a secondary node icAnd determining the total load, wherein the secondary load fault recovery rate is lower than a preset value, and determining the load as a non-critical load, otherwise determining the load as a critical load, and the power spring is connected in series with the non-critical load branch circuit connected in parallel with the critical load.
It should be noted that in the present application, the load is not necessarily divided into three levels, and may be further divided in more detail according to other dividing manners.
In this application, how to implement the power supply balance is not limited, including but not limited to adopting a droop control strategy of the wiring harness, in an embodiment, the S2 further includes:
controlling the state of the power spring through a power spring droop control concrete model, wherein the power spring droop control concrete model comprises the following steps:
Figure BDA0003351508860000061
Figure BDA0003351508860000062
wherein
Figure BDA0003351508860000063
And
Figure BDA0003351508860000064
respectively, the reactive power of the power spring and the voltage of a bus under a time t scene s;
Figure BDA0003351508860000065
and
Figure BDA0003351508860000066
upper and lower limit of droop coefficient based on stability analysis;
Figure BDA0003351508860000067
the desired power spring reactive power and bus voltage.
Further, in order to further improve the fault recovery level, in an embodiment, before the S1, the method includes:
and S3, controlling OLTC and CB to realize fault recovery of the key load of the power distribution gateway according to the control mode of the power spring.
By combining OLTC, CB and power spring to realize fault recovery of key load of the power distribution network, control accuracy can be improved, and control diversity is increased.
The present application does not limit the control strategy of the OLTC and the CB, and in an embodiment, the S2 includes:
s21, obtaining the CB, the optimal tap position of the OLTC and the output value of the power spring by calculating to obtain the minimum power consumption of the transformer substation;
s22, obtaining the minimum substation power deviation, the required expected working point and droop coefficient of the power spring;
and S23, sending the droop coefficient of the power spring to a power spring controller, and controlling the reactive output of the power spring by the power spring controller according to the voltage data obtained by real-time monitoring to realize the fault recovery of the critical load.
The core idea of the algorithm in the application is that considering that the response speed of the CB and the OLTC is low, the first stage is a long-term planning stage, and the optimal tap positions of the CB and the OLTC and the output values of the power springs are obtained by seeking for the minimization of the power consumption of the transformer substation. The second phase obtains the desired operating point and sag factor of the power spring required in S2 by minimizing substation power deviation. Because the fluctuation of the DG may cause that the voltage violates the lower limit, the droop coefficient of the power spring is sent to the power spring controller according to the result of the second stage, and the controller monitors the voltage data in real time according to the third stage to control the reactive output of the power spring, so that the fault recovery of critical loads is realized, and the operation safety of the critical loads which are not in disaster is ensured.
The first stage algorithm is to seek the lowest power consumption of the substation and save energy, and in one embodiment, the S21 includes:
calculating the lowest power consumption of the transformer substation by adopting an objective function;
the objective function is:
Figure BDA0003351508860000071
wherein
Figure BDA0003351508860000072
The active power of the transformer substation is t time; omegaTlFor a time interval set, the target function needs to satisfy a ZIP load model, a load flow equation, power spring reactive constraints, OLTC and CB related constraints, and grid operation safety constraints.
The second stage of algorithm aims at minimizing the substation power deviation, and optimizes to obtain the expected operating point and droop coefficient of the power spring, specifically, the S32 includes:
calculating to obtain the minimum power deviation of the transformer substation, optimizing to obtain the expected working point and the droop coefficient of the power spring, and adopting an optimization function as follows:
Figure BDA0003351508860000073
where ρ issIs the probability of occurrence of the scene s;
Figure BDA0003351508860000074
is tauSTThe time scenario s power offset, which can be expressed by the following equation:
Figure BDA0003351508860000075
wherein
Figure BDA0003351508860000076
Is tauSTAnd the time scene s is the active power of the transformer substation, and the optimization function needs to meet a droop control model, a power flow equation and power grid safety constraint.
The third-stage algorithm aims at controlling the key negative charge voltage in real time by changing the reactive output of the power spring, so that the voltage stability of the power spring after power supply recovery and power supply recovery is realized, and is a local control stage, specifically, the S23 includes:
the key load voltage is controlled in real time by changing the reactive output of the power spring, so that the power supply recovery and the voltage stability after the power supply recovery are realized, and the method is realized by the following formula:
Figure RE-GDA0003492447390000077
Figure RE-GDA0003492447390000081
wherein
Figure RE-GDA0003492447390000082
Reactive power calculated for the linear droop function; the constraint (8) is the correction of the reactive power output with the limitation of the capacity of the power spring.
In the present application, the power spring may be used only for power restoration, or may be used in combination with CB or OLTC for power restoration, and it is necessary to first use CB or OLTC and then supplement the CB or OLTC with a power bomb, or in other manners.
In one embodiment of the present application, the calculation flow of the algorithm comprises the following 4 steps,
1) according to distribution substation flood disaster historical data, secondary load fault recovery rate (1) is calculated, and key load positions are obtained through threshold values, so that power springs are convenient to install.
2) With the aim of minimizing the power consumption of the transformer substation as a target, the CB, the OLTC tap positions and the reactive output values of the power springs are optimized through a gurobi commercial solver.
3) Controlling the frequency of the power distribution network to be constant by taking the reduction of the active deviation of the transformer substation as a target, and optimizing by a gurobi commercial solver to obtain a power spring droop coefficient and an expected working point;
4) the power spring performs droop control after obtaining the droop coefficient and the expected working point, and recovers the power supply of the key load by controlling reactive power; and then, the voltage change of the key load after the fault recovery is monitored in real time, and the power supply quality of the key load after the power supply recovery is ensured.
In summary, according to the method for recovering the power distribution network fault under the flood disaster, provided by the embodiment of the invention, the installation position of the power spring is determined by evaluating the recovery rate of the key load fault according to the historical data of the flood disaster in the power distribution area; and a power spring droop control strategy is provided, so that the stability of the key load voltage and the power supply and demand balance are ensured, and the power supply quality is improved.
The method for recovering the power distribution network fault under the flood disaster is described in detail above. The principles and embodiments of the present invention are explained herein using specific examples, which are presented only to assist in understanding the method and its core concepts. It should be noted that, for those skilled in the art, it is possible to make various improvements and modifications to the present invention without departing from the principle of the present invention, and those improvements and modifications also fall within the scope of the claims of the present invention.

Claims (8)

1. A power distribution network fault recovery method under flood disasters is characterized by comprising the following steps
S1, evaluating the recovery rate of the key load fault according to the flood disaster historical data of the appointed power distribution area in the preset time period, and determining the installation position of the power spring;
and S2, monitoring the 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, and controlling the power spring to generate reactive power when the bus voltage is lower than a bottom threshold, so as to realize the voltage stabilization of the critical load.
2. The method for recovering from a power distribution network fault under a flood disaster according to claim 1, wherein the S1 comprises:
dividing the load in the power distribution network into a first-level load, a second-level load and a third-level load according to economic requirements;
the first-level load is a key load and has the highest weight, the third-level load is a non-key load and has the lowest weight; the secondary load calculates a failure recovery rate F according to the following formula:
Figure RE-FDA0003492447380000011
wherein icIs the number of secondary load nodes, ncriticalThe total number of the secondary loads is,
Figure RE-FDA0003492447380000012
the active power lost to the secondary node ic,
Figure RE-FDA00034924473800000110
is a secondary node icAnd determining the total load, wherein the secondary load fault recovery rate is lower than a preset value, and determining the load as a non-critical load, otherwise determining the load as a critical load, and the power spring is connected in series with the non-critical load branch in parallel with the critical load.
3. The method for recovering from a power distribution network failure due to a flood disaster as recited in claim 2, wherein said S2 further comprises:
controlling the state of the power spring through a power spring droop control concrete model, wherein the power spring droop control concrete model comprises the following steps:
Figure RE-FDA0003492447380000013
Figure RE-FDA0003492447380000014
wherein
Figure RE-FDA0003492447380000015
And
Figure RE-FDA0003492447380000016
respectively power spring reactive power and bus voltage under a time t scene s;
Figure RE-FDA0003492447380000017
and
Figure RE-FDA0003492447380000018
upper and lower limit of droop coefficient based on stability analysis;
Figure RE-FDA0003492447380000019
The desired power spring reactive power and bus voltage.
4. The method for recovering from a power distribution network fault under a flood disaster according to claim 3, wherein before the step S1, the method comprises:
and S3, controlling the OLTC and the CB to realize fault recovery on the key load of the power distribution network.
5. The method for recovering from a power distribution network fault under a flood disaster according to claim 4, wherein the step S2 comprises:
s21, obtaining the CB, the optimal tap position of the OLTC and the output value of the power spring by calculating to obtain the minimum power consumption of the transformer substation;
s22, obtaining an expected working point and a droop coefficient of the power spring required by minimizing the power deviation of the transformer substation;
and S23, sending the droop coefficient of the power spring to a power spring controller, and controlling the reactive power output of the power spring by the power spring controller according to the voltage data obtained by real-time monitoring to realize the fault recovery of the critical load.
6. The method for recovering from a power distribution network fault under a flood disaster according to claim 5, wherein the step S21 comprises:
calculating the lowest power consumption of the transformer substation by adopting an objective function;
the objective function is:
Figure RE-FDA0003492447380000021
pt sub is the active power of the transformer substation at t time; and omega Tl is a time interval set, and the objective function needs to meet ZIP load model, load flow equation, reactive power constraint of power spring, OLTC and CB related constraint and power grid operation safety constraint.
7. The method for recovering from a power distribution network fault under a flood disaster according to claim 6, wherein the step S22 comprises:
calculating to obtain the minimum power deviation of the transformer substation, optimizing to obtain the expected working point and the droop coefficient of the power spring, and adopting an optimization function as follows:
Figure RE-FDA0003492447380000022
where ρ issIs the probability of occurrence of the scene s;
Figure RE-FDA0003492447380000023
is tauSTTime-scene s power deviation, expressed by:
Figure RE-FDA0003492447380000031
wherein
Figure RE-FDA0003492447380000032
Is tauSTAnd the time scene s is the active power of the transformer substation, and the optimization function needs to meet a droop control model, a power flow equation and power grid safety constraints.
8. The method for recovering from a power distribution network fault under a flood disaster according to claim 7, wherein the step S23 comprises:
the key load voltage is controlled in real time by changing the reactive output of the power spring, so that the power supply recovery and the voltage stability after the power supply recovery are realized, and the method is realized by the following formula:
Figure RE-FDA0003492447380000033
Figure RE-FDA0003492447380000034
wherein
Figure RE-FDA0003492447380000035
Reactive power calculated for the linear droop function (7); the constraint (8) is a correction of the reactive power output with the power spring capacity limitation.
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