CN115733139A - Dynamic lightning protection method and system based on linear power flow - Google Patents

Dynamic lightning protection method and system based on linear power flow Download PDF

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CN115733139A
CN115733139A CN202211014262.4A CN202211014262A CN115733139A CN 115733139 A CN115733139 A CN 115733139A CN 202211014262 A CN202211014262 A CN 202211014262A CN 115733139 A CN115733139 A CN 115733139A
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lightning
power flow
line
power
struck
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CN115733139B (en
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周瑜
童充
李敏蕾
苏俊霖
谢智敏
龚烈锋
詹若培
石旭江
吴堃铭
方志浩
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Suzhou Power Supply Co of State Grid Jiangsu Electric Power Co Ltd
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Suzhou Power Supply Co of State Grid Jiangsu Electric Power Co Ltd
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Abstract

The invention provides a dynamic lightning protection method and a system based on linear tide, which comprises the following steps: step 1, carrying out lightning monitoring and early warning on a power grid line to obtain lightning prediction information of the line to be struck by lightning; step 2, constructing a novel power flow optimization model, and respectively setting the constraints of the novel power flow optimization model under the conditions that the circuit is struck by lightning and is not struck by lightning; and 3, performing power flow optimization on the power grid before and after the line is struck by lightning by adopting different constraints on the power grid regulation and control platform based on the lightning prediction information and the novel power flow optimization model. The method can dynamically adjust the power flow distribution of the power grid to deal with lightning disasters, accurately protect the whole power grid from being struck by lightning, and optimize the economic benefit.

Description

Dynamic lightning protection method and system based on linear power flow
Technical Field
The invention relates to the technical field of power transmission channel lightning stroke active protection, in particular to a dynamic lightning protection method and system based on linear power flow.
Background
In order to realize lightning protection, various strategies have been adopted in the prior art to improve the lightning protection performance of the power grid. Such as overhead ground wires, lightning rods, surge Protectors (SPDs), etc. The use of these insulation facilities effectively protects the particular equipment they protect. However, these conventional lightning protection measures can only protect a single facility or equipment, and cannot protect the entire grid.
In recent years, dynamic lightning protection schemes have been adopted in documents, and lightning protection is realized by dynamically adjusting the power flow distribution of the power grid. However, in the existing dynamic lightning protection methods, attention is mostly paid only to the proposal of a power flow optimization strategy of a power grid when lightning comes, and the whole process of lightning protection is ignored. Meanwhile, the current equation adopted by the existing dynamic lightning protection method comprises direct current and alternating current, and when the two methods are applied to the field of dynamic lightning protection, the two methods have respective defects. Although the alternating current optimal power flow calculation is accurate, the calculation scale is large due to nonlinearity of the alternating current optimal power flow calculation, and the calculation scale is increased along with the increase of the scale of a power grid, so that the requirement for protection of dynamic lightning real-time adjustment cannot be met. The direct current method is high in calculation efficiency, influences of voltage amplitude and reactive power are ignored, constraint conditions such as voltage amplitude cannot be considered, and calculation accuracy needs to be improved.
Disclosure of Invention
In order to solve the defects in the prior art, the invention aims to provide a dynamic lightning protection method and system based on linear power flow, which can deal with lightning disasters by dynamically adjusting the power flow distribution of a power grid and improve the calculation precision on the premise of ensuring the calculation efficiency. .
The invention adopts the following technical scheme.
A dynamic lightning protection method based on linear power flow comprises the following steps:
step 1, performing lightning monitoring and early warning on a power grid line to obtain line lightning prediction information of the line suffering from a lightning stroke condition;
step 2, constructing a novel power flow optimization model, and respectively setting the constraints of the novel power flow optimization model under the conditions that the circuit is struck by lightning and is not struck by lightning;
and 3, performing power flow optimization on the power grid before and after the line is struck by lightning by adopting different constraints on the power grid regulation and control platform based on the lightning prediction information and the novel power flow optimization model.
Preferably, in step 1, the lightning monitoring and early warning on the power grid line further includes:
acquiring real-time weather parameters of the power transmission line to be tested;
inputting the real-time weather parameters into a weather data prediction model generated according to historical weather parameters, wherein the weather prediction model can be obtained based on a BP neural network model and historical weather parameter training;
and obtaining weather prediction parameters at the next moment through a weather prediction model, thereby monitoring and predicting the weather conditions on the power transmission line in real time and obtaining the thunder and lightning prediction information of the line to be struck by lightning.
Preferably, in step 1, the real-time weather parameters of the detected power transmission line include temperature, humidity, illumination intensity, electromagnetic field signal intensity, precipitation, air pressure, wind direction and wind speed.
Preferably, the step 2 further comprises the steps of:
step 2-1, constructing a target function of a novel power flow optimization model;
2-2, constructing a novel power flow optimization model under the premise of considering the influence of the voltage amplitude and the reactive power, and obtaining a linear expression of the line power flow;
and 2-3, respectively setting the constraints of the novel power flow optimization model of the line under the conditions of lightning strike and no lightning strike according to the lightning strike condition of the line.
Preferably, in step 2-1, the expression of the objective function is as follows:
Figure SMS_1
wherein N is the set of all grid line nodes, c 1,i 、c 2,i 、c 3,i As a characteristic parameter of consumption, p, of the generator at node i gi For the power generation of the generator at node i, if there is no generator at node i, p gi Is 0.
Preferably, in the step 2-2, the obtained novel linear power flow model is as follows:
Figure SMS_2
Figure SMS_3
wherein p is i And q is i Respectively representing the injected active and reactive power at node i,
n is the number of nodes of the power grid line, i and j respectively represent the ith and jth nodes, and the value ranges of i and j are [1, n],G ij And B ij Respectively the real and imaginary parts of the nodal admittance matrix,
V j for the amplitude of the voltage of the power network,
θ j is the phase angle of the voltage of the power grid,
B′ ij the imaginary part of the resulting grid node admittance matrix is not taken into account for the shunt impedance.
Preferably, in step 2-3, when the power grid line is not struck by lightning, the novel linear power flow model needs to satisfy constraints of line power flow, voltage amplitude, generator output active power and generator output reactive power:
Figure SMS_4
Figure SMS_5
Figure SMS_6
Figure SMS_7
wherein,
Figure SMS_8
andp ij upper and lower limits, p, of line current, respectively ij Representing the active power flow of the line;
Figure SMS_9
andV i respectively, the upper and lower limits of the voltage amplitude, V i Represents the voltage amplitude of the node i;
Figure SMS_10
andp Gi upper and lower limits, p, of the generator output active power at node i, respectively Gi The generator output active power of the node i is represented;
Figure SMS_11
andq Gi upper and lower limits of the generator output reactive power q at node i, respectively Gi Representing the generator output reactive power at node i.
Preferably, in step 2-3, when the power grid line is damaged by a lightning strike, in addition to the constraints of the line current, the voltage amplitude, the generator output active power and the generator output reactive power, the constraints of the lightning influence are also required to be satisfied, and the constraints of the lightning influence are as follows:
Figure SMS_12
wherein p is IJ In order to have real power of the line to be exposed to a lightning disaster,
Figure SMS_13
the upper limit value may be set to zero for the upper limit of the active power of the line to be exposed to a lightning disaster.
Preferably, the step 3 further comprises:
according to the thunder and lightning prediction information, carrying out power flow optimization on a power grid in advance for a line to be struck by lightning, considering the constraint of the influence of the lightning at the moment, and adopting a novel power flow optimization model as the constraint of the novel power flow optimization model of the line under the condition of being struck by lightning;
when the lightning is over, the power flow state of the power grid needs to be recovered, the constraint of the influence of the lightning does not need to be considered at the moment, the adopted novel power flow optimization model is the constraint of the novel power flow optimization model when the circuit is not struck by the lightning, and the power flow of the power grid is optimized and scheduled again.
The invention also provides a dynamic lightning protection system based on the linear power flow, which comprises the following components: the device comprises an acquisition module, a prediction module, a power flow optimization module and an adjustment module;
the acquisition module is used for acquiring data information of temperature, precipitation, air pressure, wind direction, wind speed and humidity of a line;
the prediction module is used for predicting the lightning stroke condition suffered by the line according to the data acquired by the acquisition module;
the power flow optimization module can perform power flow optimization on the power grid through the power flow optimization model;
the adjusting module can adjust the constraint in the power flow optimization model according to whether the line is struck by lightning or not.
The present invention also provides a terminal, comprising a processor and a storage medium,
the storage medium is used for storing instructions;
the processor is used for operating according to the instruction to execute the steps of the dynamic lightning protection method based on the linear power flow.
The invention also proposes a computer readable storage medium, on which a computer program is stored, which when executed by a processor implements the steps of the linear power flow based dynamic lightning protection method.
Compared with the prior art, the method has the beneficial effects that the power flow distribution of the power grid can be adjusted in real time according to the thunder prediction information so as to reduce the damage of thunder to the power grid. Lightning disasters are dealt with by dynamically adjusting the tide distribution of the power grid, and the lightning protection method is used as a supplement strategy of the traditional lightning protection method to protect the whole power grid from being struck by lightning; the dynamic lightning protection system is characterized in detail by three details, namely lightning monitoring and early warning, power flow optimization based on lightning prediction information and power grid system state recovery after lightning is finished; the method provided by the invention particularly describes the whole process of the dynamic coping strategy of the power grid before, during and after the thunder and lightning, adopts an optimization method considering the voltage amplitude and the reactive power, considers the constraints of the voltage, the reactive power and the like on the premise of ensuring the calculation efficiency, and improves the calculation precision.
Drawings
Fig. 1 is an overall flow diagram of a dynamic lightning protection method based on linear power flow according to the present invention;
fig. 2 is a schematic overall structure diagram of the dynamic lightning protection system based on linear power flow according to the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. The embodiments described herein are only some embodiments of the invention, and not all embodiments. All other embodiments obtained by a person skilled in the art without any inventive step based on the spirit of the present invention are within the scope of the present invention.
As shown in fig. 1, the present invention provides a dynamic lightning protection method based on linear power flow, which specifically includes the following steps:
step 1, performing lightning monitoring and early warning on a power grid line to obtain line lightning prediction information of the line suffering from a lightning stroke condition;
wherein, by selecting factors such as temperature, precipitation, air pressure, wind direction, wind speed and humidity, and adopting various methods such as Bayes, artificial intelligence and the like to predict information such as time and position of lightning,
specifically, the following method can be adopted in step 1 to realize lightning monitoring and early warning:
acquiring real-time weather parameters of the power transmission line to be measured, wherein the weather parameters comprise temperature, humidity, illumination intensity, electromagnetic field signal intensity, precipitation, air pressure, wind direction and wind speed;
inputting the real-time weather parameters into a weather data prediction model generated according to historical weather parameters, wherein the weather prediction model can be obtained based on a BP neural network model and historical weather parameter training;
and obtaining weather prediction parameters of the next moment through a weather prediction model, thereby monitoring and predicting the weather conditions on the power transmission line in real time, and obtaining line lightning prediction information about the lightning stroke condition of the line, wherein the prediction information comprises the specific line suffering the lightning stroke and the lightning stroke time.
Step 2, constructing a novel power flow optimization model, and respectively setting the constraints of the novel power flow optimization model under the conditions that the circuit is struck by lightning and is not struck by lightning;
specifically, step 2 further includes:
step 2-1, constructing an objective function of a novel power flow optimization model;
the objective function of the power flow optimization model adopts the objective function of traditional economic dispatching, the purpose is to minimize economic loss, and the expression of the objective function is as follows:
Figure SMS_14
wherein N is all ofSet of network line nodes, c 1,i 、c 2,i 、c 3,i As a characteristic parameter of consumption, p, of the generator at node i gi For the power generation of the generator at node i, if there is no generator at node i, p gi Is 0.
2-2, constructing a novel power flow optimization model under the premise of considering the influence of the voltage amplitude and the reactive power, and obtaining a linear expression of the line power flow;
specifically, the method adopts a novel linear power flow method considering the influence of the voltage amplitude and the reactive power, and adopts the novel linear power flow method as power flow constraint. Specifically, the key to the linearization of the ac power flow model is to implement the voltage amplitude V in the linear power flow method considering the voltage amplitude i Phase angle q of sum voltage j In the invention, the finally obtained novel linear power flow model is as follows:
Figure SMS_15
Figure SMS_16
wherein p is i And q is i Respectively representing the injected active and reactive power at node i,
n is the number of nodes of the power grid line, i and j respectively represent the ith and jth nodes, and the value ranges of i and j are [1, n],G ij And B ij Respectively the real and imaginary parts of the nodal admittance matrix,
V j for the amplitude of the voltage of the power network,
θ j is the phase angle of the voltage of the power grid,
B′ ij the imaginary part of the resulting grid node admittance matrix is not taken into account for the shunt impedance.
Further, according to the novel linear power flow model, a linear expression of the line power flow is obtained as follows:
p ij =g ij (V i -V j )-b ijij )
wherein p is ij Representing the active power flow of the line;
g ij represents the line reactance;
b ij representing the line impedance;
V i and V j Respectively grid voltage amplitude
q i And q is j Indicating the injected reactive power at node i and node j, respectively.
2-3, respectively setting constraints of a novel power flow optimization model of the line under the conditions of lightning strike and non-lightning strike according to the lightning strike condition of the line;
further, when the power grid line is not struck by lightning, the novel linear power flow model adopted by the invention needs to satisfy the constraints of line power flow, voltage amplitude, generator output active power and generator output reactive power, and specifically, the constraints are as follows:
Figure SMS_17
Figure SMS_18
Figure SMS_19
Figure SMS_20
wherein,
Figure SMS_21
andp ij respectively, the upper and lower limits, p, of the line current ij Representing the active power flow of the line;
Figure SMS_22
andV i respectively of voltage amplitudeUpper and lower limits, V i Represents the voltage amplitude of the node i;
Figure SMS_23
andp Gi upper and lower limits, p, of the generator output active power at node QUOTE, respectively Gi The generator output active power of the node i is represented;
Figure SMS_24
andq Gi upper and lower limits of the generator output reactive power, q, at node i, respectively Gi Representing the generator output reactive power at node i.
When a power grid line is damaged by lightning, constraints of line current, voltage amplitude, generator output active power and generator output reactive power need to be met, and for the line subjected to the lightning disaster, the load borne by the line needs to be reduced or the load borne by the line needs to be reduced to zero, so that the constraint of lightning influence needs to be added.
The lightning impact is now constrained as follows:
Figure SMS_25
wherein p is IJ In order to have the active power of the line to be exposed to a lightning disaster,
Figure SMS_26
the upper limit value may be set to zero for the upper limit of the active power of the line to be exposed to a lightning disaster.
It can be seen that a novel power flow optimization model based on the lightning prediction information in the embodiment is formed by the objective function and various constraints, and the power flow optimization model is a linear optimization model and can be directly solved through commercial solvers such as CPLEX and GUROBI.
After obtaining the relevant optimization results of the active power, the reactive power and the like generated by the generator, the trend of the power flow of the whole power grid can be regulated and controlled by adjusting the processing of the generator. For the line to be attacked by thunder, no tide can pass through, so that the damage of the thunder to the line is avoided.
And 3, performing power flow optimization on the power grid before and after the line is struck by lightning by adopting different constraints on the power grid regulation and control platform based on the lightning prediction information and the novel power flow optimization model.
When a line is struck by lightning, power flow of a power grid needs to be optimized and scheduled, and at the moment, because the line is influenced by the lightning, a constraint of lightning influence needs to be added into a novel power flow optimization model which is to be used; after lightning passes, in order to keep the economic optimum of the operation of the power grid, the flow of the power grid needs to be optimized and scheduled again, and the constraint of the lightning influence does not need to be considered in the novel linear flow model adopted at the moment, so that the result is more economic and optimal.
Specifically, according to the lightning prediction information in the step 1, the lightning stroke condition of the line can be known in advance, so that the power flow optimization is performed on the power grid in advance, at the moment, the constraint of the lightning influence needs to be considered, and the adopted novel power flow optimization model is the constraint of the novel power flow optimization model of the line under the lightning stroke condition;
when the lightning is over, the power flow state of the power grid needs to be recovered, the constraint of the influence of the lightning does not need to be considered at the moment, the adopted novel power flow optimization model is the constraint of the novel power flow optimization model when the circuit is not struck by the lightning, and the power flow of the power grid is optimized and scheduled again.
As shown in fig. 2, the present invention further provides a dynamic lightning protection system based on linear power flow, where the dynamic lightning protection method based on linear power flow can be implemented based on the system, and specifically, the system includes: the device comprises an acquisition module, a prediction module, a power flow optimization module and an adjustment module;
the acquisition module is used for acquiring data information of temperature, precipitation, air pressure, wind direction, wind speed and humidity of a line;
the prediction module is used for predicting the lightning stroke condition suffered by the line according to the data acquired by the acquisition module;
the power flow optimization module can perform power flow optimization on the power grid through the power flow optimization model;
the adjusting module can adjust the constraint in the power flow optimization model according to whether the line is struck by lightning or not.
Compared with the prior art, the dynamic lightning protection method provided by the invention considers the influence of the voltage amplitude and the reactive power, and improves the calculation precision on the basis of ensuring the calculation efficiency.
The present disclosure may be systems, methods, and/or computer program products. The computer program product may include a computer-readable storage medium having computer-readable program instructions embodied thereon for causing a processor to implement various aspects of the present disclosure.
The computer readable storage medium may be a tangible device that can hold and store the instructions for use by the instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic memory device, a magnetic memory device, an optical memory device, an electromagnetic memory device, a semiconductor memory device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a Static Random Access Memory (SRAM), a portable compact disc read-only memory (CD-ROM), a Digital Versatile Disc (DVD), a memory stick, a floppy disk, a mechanical coding device, such as punch cards or in-groove projection structures having instructions stored thereon, and any suitable combination of the foregoing. Computer-readable storage media as used herein is not to be construed as transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through a waveguide or other transmission medium (e.g., optical pulses through a fiber optic cable), or electrical signals transmitted through electrical wires.
The computer-readable program instructions described herein may be downloaded from a computer-readable storage medium to a respective computing/processing device, or to an external computer or external storage device via a network, such as the internet, a local area network, a wide area network, and/or a wireless network. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers and/or edge servers. The network adapter card or network interface in each computing/processing device receives computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in a computer-readable storage medium in the respective computing/processing device.
Computer program instructions for carrying out operations of the present disclosure may be assembler instructions, instruction Set Architecture (ISA) instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The computer readable program instructions may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider). In some embodiments, the electronic circuitry that can execute the computer-readable program instructions implements aspects of the present disclosure by utilizing the state information of the computer-readable program instructions to personalize the electronic circuitry, such as a programmable logic circuit, a Field Programmable Gate Array (FPGA), or a Programmable Logic Array (PLA).
Various aspects of the present disclosure are described herein with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the disclosure. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer-readable program instructions.
These computer-readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks. These computer-readable program instructions may also be stored in a computer-readable storage medium that can direct a computer, programmable data processing apparatus, and/or other devices to function in a particular manner, such that the computer-readable medium storing the instructions comprises an article of manufacture including instructions which implement the function/act specified in the flowchart and/or block diagram block or blocks.
The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer, other programmable apparatus or other devices implement the functions/acts specified in the flowchart and/or block diagram block or blocks.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
Finally, it should be noted that the above embodiments are only used for illustrating the technical solutions of the present invention and not for limiting the same, and although the present invention is described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications and equivalents may be made to the embodiments of the invention without departing from the spirit and scope of the invention, which is to be covered by the claims.

Claims (12)

1. A dynamic lightning protection method based on linear power flow is characterized by comprising the following steps:
step 1, carrying out lightning monitoring and early warning on a power grid line to obtain line lightning prediction information of a line subjected to a lightning stroke condition;
step 2, constructing a novel power flow optimization model, and respectively setting the constraints of the novel power flow optimization model under the conditions that the circuit is struck by lightning and is not struck by lightning;
and 3, performing power flow optimization on the power grid before and after the line is struck by lightning by adopting different constraints on the power grid regulation and control platform based on the lightning prediction information and the novel power flow optimization model.
2. The linear power flow based dynamic lightning protection method according to claim 1,
in step 1, the lightning monitoring and early warning of the power grid line further comprises:
acquiring real-time weather parameters of the power transmission line to be tested;
inputting the real-time weather parameters into a weather data prediction model generated according to historical weather parameters, wherein the weather prediction model can be obtained based on a BP neural network model and historical weather parameter training;
and obtaining weather prediction parameters at the next moment through a weather prediction model, thereby monitoring and predicting the weather conditions on the power transmission line in real time and obtaining the thunder and lightning prediction information of the line to be struck by lightning.
3. The linear power flow based dynamic lightning protection method according to claim 2,
in the step 1, the real-time weather parameters of the power transmission line to be tested comprise temperature, humidity, illumination intensity, electromagnetic field signal intensity, precipitation, air pressure, wind direction and wind speed.
4. The linear power flow based dynamic lightning protection method according to claim 1,
the step 2 further comprises the following steps:
step 2-1, constructing an objective function of a novel power flow optimization model;
2-2, constructing a novel power flow optimization model under the premise of considering the influence of the voltage amplitude and the reactive power, and obtaining a linear expression of the line power flow;
and 2-3, respectively setting the constraints of the novel power flow optimization model of the line under the conditions of lightning strike and no lightning strike according to the lightning strike condition of the line.
5. The linear power flow based dynamic lightning protection method according to claim 4,
in step 2-1, the expression of the objective function is as follows:
Figure DEST_PATH_IMAGE001
wherein,
Figure DEST_PATH_IMAGE002
for the set of all grid line nodes,
Figure DEST_PATH_IMAGE003
Figure DEST_PATH_IMAGE004
Figure DEST_PATH_IMAGE005
is a node
Figure DEST_PATH_IMAGE006
The consumption characteristic curve parameter of the generator is measured,
Figure DEST_PATH_IMAGE007
to be at a node
Figure 373913DEST_PATH_IMAGE006
If the node point
Figure 25474DEST_PATH_IMAGE006
Without a generator, then
Figure 523320DEST_PATH_IMAGE007
Is 0.
6. The linear power flow based dynamic lightning protection method according to claim 4,
in the step 2-2, the obtained novel linear power flow model is as follows:
Figure DEST_PATH_IMAGE008
Figure DEST_PATH_IMAGE009
wherein,
Figure DEST_PATH_IMAGE010
and
Figure DEST_PATH_IMAGE011
are respectively represented at the node
Figure DEST_PATH_IMAGE012
The injected active power and reactive power of (a),
n is the number of the nodes of the power grid line, i and j respectively represent the ith node and the jth node, the value ranges of i and j are both [1, n ],
Figure DEST_PATH_IMAGE013
and
Figure DEST_PATH_IMAGE014
respectively the real and imaginary parts of the nodal admittance matrix,
Figure DEST_PATH_IMAGE015
for the amplitude of the voltage of the power network,
Figure DEST_PATH_IMAGE016
is the phase angle of the voltage of the power grid,
Figure DEST_PATH_IMAGE017
the imaginary part of the resulting grid node admittance matrix is not taken into account for the shunt impedance.
7. The linear power flow based dynamic lightning protection method according to claim 4,
in the step 2-3, when the power grid line is not struck by lightning, the novel linear power flow model needs to satisfy the constraints of line power flow, voltage amplitude, generator output active power and generator output reactive power:
Figure DEST_PATH_IMAGE018
Figure DEST_PATH_IMAGE019
Figure DEST_PATH_IMAGE020
Figure DEST_PATH_IMAGE021
wherein,
Figure 826519DEST_PATH_IMAGE022
and
Figure DEST_PATH_IMAGE023
respectively the upper and lower limits of the line current,
Figure 31105DEST_PATH_IMAGE024
representing the active power flow of the line;
Figure DEST_PATH_IMAGE025
and
Figure DEST_PATH_IMAGE026
respectively the upper and lower limits of the voltage amplitude,
Figure 774938DEST_PATH_IMAGE027
represents the voltage amplitude of the node i;
Figure DEST_PATH_IMAGE028
and
Figure 979655DEST_PATH_IMAGE029
are respectively at a node
Figure DEST_PATH_IMAGE030
The upper and lower limits of the active power output by the generator,
Figure DEST_PATH_IMAGE031
representing nodes
Figure 317837DEST_PATH_IMAGE030
The generator outputs active power;
Figure 704825DEST_PATH_IMAGE032
and
Figure DEST_PATH_IMAGE033
are respectively at a node
Figure 839134DEST_PATH_IMAGE030
The upper and lower limits of the reactive power output by the generator,
Figure 311573DEST_PATH_IMAGE034
representing nodes
Figure 783005DEST_PATH_IMAGE030
The generator outputs reactive power.
8. The linear power flow based dynamic lightning protection method according to claim 4,
in the step 2-3, when the power grid line is damaged by lightning, the constraints of lightning influence need to be satisfied in addition to the constraints of the line tide, the voltage amplitude, the generator output active power and the generator output reactive power, and the constraints of the lightning influence are as follows:
Figure DEST_PATH_IMAGE035
wherein,
Figure DEST_PATH_IMAGE036
to be subjected toThe active power of the line subjected to the lightning disaster,
Figure 165445DEST_PATH_IMAGE037
the upper limit value may be set to zero for the upper limit of the active power of the line to be exposed to a lightning disaster.
9. The linear power flow based dynamic lightning protection method according to claim 1,
the step 3 further comprises:
according to the thunder and lightning prediction information, carrying out power flow optimization on a power grid in advance for a line to be struck by lightning, considering the constraint of the influence of the lightning at the moment, and adopting a novel power flow optimization model as the constraint of the novel power flow optimization model of the line under the condition of being struck by lightning;
when the lightning is over, the tide state of the power grid needs to be recovered, the constraint of the lightning influence does not need to be considered at the moment, the adopted novel tide optimization model is the constraint of the novel tide optimization model when the circuit is not struck by the lightning, and the tide of the power grid is optimized and scheduled again.
10. A dynamic lightning protection system based on linear power flow by using the dynamic lightning protection method based on linear power flow of any one of claims 1 to 9, comprising: the device comprises an acquisition module, a prediction module, a power flow optimization module and an adjustment module;
the acquisition module is used for acquiring data information of air temperature, precipitation, air pressure, wind direction, wind speed and humidity of a line;
the prediction module is used for predicting the lightning stroke condition suffered by the line according to the data acquired by the acquisition module;
the power flow optimization module can perform power flow optimization on the power grid through the power flow optimization model;
the adjusting module can adjust the constraint in the power flow optimization model according to whether the line is struck by lightning or not.
11. A terminal comprising a processor and a storage medium; the method is characterized in that:
the storage medium is used for storing instructions;
the processor is configured to operate according to the instructions to perform the steps of the linear power flow based dynamic lightning protection method according to any one of claims 1-9.
12. Computer readable storage medium, on which a computer program is stored, which program, when being executed by a processor, is adapted to carry out the steps of the linear power flow based dynamic lightning protection method according to any one of claims 1 to 9.
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