CN111276980B - Method, device and equipment for predicting high-voltage interlocking offline risk - Google Patents

Method, device and equipment for predicting high-voltage interlocking offline risk Download PDF

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CN111276980B
CN111276980B CN201811473676.7A CN201811473676A CN111276980B CN 111276980 B CN111276980 B CN 111276980B CN 201811473676 A CN201811473676 A CN 201811473676A CN 111276980 B CN111276980 B CN 111276980B
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new energy
voltage
power
power source
value
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CN111276980A (en
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吴林林
刘辉
乔颖
鲁宗相
徐曼
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Tsinghua University
State Grid Corp of China SGCC
Electric Power Research Institute of State Grid Jibei Electric Power Co Ltd
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Tsinghua University
State Grid Corp of China SGCC
Electric Power Research Institute of State Grid Jibei Electric Power Co Ltd
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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
    • 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

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

Abstract

The application relates to a method, a system, computer equipment and a storage medium for predicting high-voltage interlocking offline risk. The method comprises the following steps: acquiring the used amount of a reactive power source in a power grid and the remaining amount of the reactive power source; acquiring the maximum output value of the new energy collection system through a continuous power flow model according to the used amount of the reactive power source and the residual amount of the reactive power source; and checking whether high-voltage interlocking offline risks exist or not according to the maximum output value of the new energy collection system and a preset detection rule. The method can improve the utilization rate of new energy.

Description

Method, device and equipment for predicting high-voltage interlocking offline risk
Technical Field
The present application relates to the field of power system control technologies, and in particular, to a method and an apparatus for predicting a risk of high-voltage cascading offline, a computer device, and a storage medium.
Background
With the development of new energy power generation technology, new energy electric power such as wind power, photovoltaic and the like is incorporated into the existing power grid in a large scale. However, the volatility and randomness of the new energy power bring risks to the safe and stable operation of the traditional power system, so that the maximum output value of the new energy collection system under the condition of ensuring the static voltage stability is calculated according to reactive compensation input according to a fixed rule at present, so as to avoid the risk of high-voltage chain off-line.
However, the existing method for calculating the maximum output value of the new energy convergence system has the problem of low utilization rate of new energy.
Disclosure of Invention
In view of the above, it is necessary to provide a method, an apparatus, a computer device, and a storage medium for predicting a risk of high-voltage cascading offline, which can improve the utilization rate of new energy.
A method of predicting risk of high-pressure linked logoff, the method comprising:
acquiring the used amount of a reactive power source in a power grid and the remaining amount of the reactive power source;
acquiring the maximum output value of the new energy collection system through a continuous power flow model according to the used amount of the reactive power source and the residual amount of the reactive power source;
and checking whether high-voltage interlocking offline risks exist or not according to the maximum output value of the new energy collection system and a preset detection rule.
According to the method for predicting the high-voltage interlocking offline risk, the used amount and the surplus amount of a reactive power source in the power grid are obtained, the dynamic change of the maximum output value of the new energy collecting system is obtained by using the continuous power flow model according to the used amount and the surplus amount, whether the high-voltage interlocking offline risk exists or not is checked according to the maximum value of the dynamic change and a preset detection rule, and the utilization rate of the new energy can be improved.
As an embodiment, the obtaining the maximum output value of the new energy collection system through a continuous power flow model according to the used quota of the reactive power source and the remaining quota of the reactive power source includes:
acquiring an initial output value of each new energy station and an initial voltage distribution of each new energy collection station node;
adjusting the initial output value of each new energy station to obtain a new energy output increase value of the new energy station;
calculating the power flow according to the new energy output increase value to obtain the node voltage of each new energy collection station after adjustment;
if the adjusted node voltage of the new energy collection station is out of a preset threshold range, the reactive power source is put into use until the adjusted node voltage of the new energy collection station is within the preset threshold range;
and judging whether a power-voltage curve has an inflection point, and if the power-voltage curve has the inflection point, taking a power value corresponding to the inflection point as the maximum output value of the new energy convergence system.
As an embodiment, after the step of determining whether an inflection point appears on the power-voltage curve, and if the inflection point appears on the power-voltage curve, taking a power value corresponding to the inflection point as the maximum output of the new energy pooling system, the method further includes:
and if no inflection point appears, returning to the step of adjusting the initial output value of each new energy station to obtain the new energy output increase value of the new energy station until the inflection point appears on the power-voltage curve, and taking the power value corresponding to the inflection point as the maximum output value of the new energy convergence system.
As an embodiment, the taking the power value corresponding to the inflection point as the maximum output of the new energy pooling system includes:
and taking the power value of the preset multiple as the maximum output value of the new energy collection system.
As an embodiment, the checking whether there is a high-voltage chain offline risk according to the maximum output of the new energy collection system and a preset detection rule includes:
judging whether the power grid has a high-voltage interlocking off-grid risk;
and if the high-voltage interlocking off-line risk exists in the power grid, reducing the maximum output value of the new energy collection system.
As an embodiment, the determining whether the grid has a high-voltage cascading offline risk includes:
adding or reducing one reactive power source in the power grid, and adjusting the reactive power source in the power grid;
calculating the adjusted node voltage of the new energy collection station;
judging whether the adjusted node voltage of the new energy collection station is greater than a safety threshold value or not;
and if the adjusted node voltage of the new energy collection station is greater than the safety threshold, the power grid has the high-voltage linkage offline risk.
As an embodiment, the adding or subtracting one of the reactive power sources in the power grid, and adjusting the reactive power sources in the power grid, include:
disconnecting a maximum capacitance branch or a maximum reactance branch of the new energy collection station in the power grid; or:
and turning off any static reactive compensator or capacitor or reactor of the new energy substation.
A device for predicting risk of high-voltage interlock with net-off, the device comprising:
the reactive power source counting module is used for acquiring the used amount of a reactive power source in a power grid and the residual amount of the reactive power source;
the maximum output value acquisition module is used for acquiring the maximum output value of the new energy collection system through a continuous power flow model according to the used amount of the reactive power source and the residual amount of the reactive power source;
and the risk checking module is used for checking whether high-voltage interlocking offline risks exist according to the maximum output value of the new energy collection system and a preset detection rule.
According to the device for predicting the high-voltage interlocking offline risk, the used amount and the surplus amount of the reactive power source in the power grid are obtained, the dynamic change of the maximum output value of the new energy collecting system is obtained by using the continuous power flow model according to the used amount and the surplus amount, and whether the high-voltage interlocking offline risk exists or not is checked according to the maximum value of the dynamic change and the preset detection rule, so that the utilization rate of the new energy can be improved.
As an embodiment, the output maximum obtaining module includes:
the initial value adjusting module is used for acquiring initial output values of all the new energy stations and initial voltage distribution of nodes of all the new energy collection stations;
the growth value acquisition module is used for adjusting the initial output value of each new energy station to obtain the new energy output growth value of the new energy station;
the node voltage acquisition module is used for calculating power flow according to the new energy output increase value to obtain the adjusted node voltage of each new energy collection station;
the reactive power source inputting module is used for inputting the reactive power source if the adjusted node voltage of the new energy collecting station is out of a preset threshold range until the adjusted node voltage of the new energy collecting station is within the preset threshold range;
and the inflection point judging module is used for judging whether an inflection point appears on the power-voltage curve, and if the inflection point appears on the power-voltage curve, taking the power value corresponding to the inflection point as the maximum output value of the new energy convergence system.
As an embodiment, after the inflection point determining module, the method further includes:
and the circulating module is used for returning to the step of adjusting the initial force output value of each new energy station to obtain the new energy output increase value of the new energy station if no inflection point appears until a power-voltage curve appears, and taking the power value corresponding to the inflection point as the maximum output value of the new energy collecting system.
As an embodiment, the inflection point determining module and the loop module include:
and the margin control module is used for taking the power value of the preset multiple as the maximum output value of the new energy collecting system.
As an embodiment, wherein the risk checking module comprises:
the risk judgment module is used for judging whether the power grid has high-voltage interlocking off-grid risk;
and the maximum value reducing module is used for reducing the maximum output value of the new energy collection system if the high-voltage interlocking grid disconnection risk exists in the power grid.
As an embodiment, the risk judging module includes:
the reactive power source increasing and decreasing module is used for increasing or decreasing one reactive power source in the power grid and adjusting the reactive power source in the power grid;
the collecting station voltage calculating module is used for calculating the adjusted node voltage of the new energy collecting station;
the collecting station voltage comparison module is used for judging whether the adjusted node voltage of the new energy collecting station is greater than a safety threshold value or not;
and the risk confirmation module is used for judging that the high-voltage linkage offline risk exists in the power grid if the adjusted node voltage of the new energy collection station is greater than the safety threshold.
As an embodiment, wherein the reactive source increasing and decreasing module includes:
the reactive power source branch circuit quits the operation module and is used for disconnecting a maximum capacitance branch circuit or a maximum reactance branch circuit of the new energy collection station in the power grid; or:
and the reactive power source generator exits the operation module and is used for closing any static reactive compensator or capacitor or reactor of the new energy transformer substation.
A computer device comprising a memory storing a computer program and a processor implementing the steps of the method for predicting risk of high-voltage cascading offline according to any of the embodiments described above when the computer program is executed.
According to the computer equipment, the used amount and the surplus amount of the reactive power source in the power grid are obtained, the dynamic change of the maximum output value of the new energy collecting system is obtained by using the continuous power flow model according to the used amount and the surplus amount, whether high-voltage chain off-line risks exist is checked according to the maximum value of the dynamic change and a preset detection rule, and the utilization rate of the new energy can be improved.
A computer-readable storage medium, having stored thereon a computer program which, when being executed by a processor, carries out the steps of the method of predicting risk of high-voltage cascading offline in any of the embodiments.
The computer readable storage medium obtains the used amount and the surplus amount of the reactive power source in the power grid, obtains the dynamic change of the maximum output value of the new energy collection system by using the continuous power flow model according to the used amount and the surplus amount, and checks whether the high-voltage chain off-line risk exists according to the maximum value of the dynamic change and a preset detection rule, so that the utilization rate of the new energy can be improved.
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FIG. 1 is a diagram of an exemplary environment for a method for predicting risk of high-voltage cascading offline in an embodiment;
FIG. 2 is a flow diagram of a method for predicting risk of high-pressure linked logoff in one embodiment;
FIG. 3 is a flowchart of step S200 of FIG. 2 in one embodiment;
FIG. 4 is a graph of actual measurements of the impact of the reactive power sources on the maximum output of the new energy collection system in one embodiment;
FIG. 5 is a graph of actual measurements of the dynamic change of the maximum power output of the new energy collection system over a period of time during the dynamic calculation of the commissioning and decommissioning of the reactive power sources in one embodiment;
FIG. 6 is a flowchart of step S300 of FIG. 2 in one embodiment;
FIG. 7 is a graph of actual measurements of the impact on the grid of reactive power source shutdown when the new energy collection system is operating at maximum power output in one embodiment;
FIG. 8 is a flow chart of a method for predicting risk of high-pressure linked offline in an exemplary embodiment;
FIG. 9 is a block diagram of an embodiment of a device for predicting risk of high-voltage cascading outages;
FIG. 10 is a diagram showing an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The method for predicting the high-voltage chain offline risk can be applied to terminal equipment and can also be applied to a system consisting of the terminal equipment and a cloud network. Alternatively, it can be applied to the application environment shown in fig. 1. Wherein the terminal 102 and the server 104 communicate via a network. The terminal 102 may obtain the maximum output value of the new energy collection system through the continuous power flow model according to the used amount and the remaining amount of the reactive power source in the power grid stored in the server 104, and check whether the new energy unit has a high-voltage cascading offline risk according to the maximum output value of the new energy collection system and a preset detection rule. The terminal 102 may be, but is not limited to, a new energy convergence system control terminal, a notebook computer, a smart phone, and a tablet computer, and the server 104 may be implemented by an independent server or a server cluster formed by a plurality of servers. Optionally, the Wireless network may be a 2G network, a 3G network, a 4G network or a 5G network, a Wireless Fidelity (WIFI) network, or the like. It should be noted that, the data such as the node voltage related to the method for predicting the risk of high-voltage chain outage may be stored in the terminal 102, may also be stored in the server 104, and may also be stored in part in the terminal 102 and in part in the server 104.
It is understood that the implementation subject of the method according to various embodiments of the present application may be a device for predicting the risk of high-voltage cascading offline, which may be implemented by software, hardware, or a combination of software and hardware. The device can be part or all of the terminal, and the device can also be integrated in a cloud server and called by terminal equipment when in use. For convenience of description, the execution bodies in the following method embodiments are all exemplified by a terminal.
In one embodiment, as shown in fig. 2, a method for predicting risk of high-voltage chain offline is provided, which is described by taking the method as an example for being applied to the terminal in fig. 1, and includes the following steps:
step S100, obtaining the used amount of a reactive power source in a power grid and the residual amount of the reactive power source.
The reactive power source refers to an element or a device in the power grid for providing reactive power for a load. The used limit of the reactive power source refers to the condition of putting the reactive power source into use in the power grid. The surplus limit refers to the surplus available condition of a reactive power source in the power grid.
Specifically, the terminal can obtain the input condition and the remaining available condition of the real-time reactive power source in the current power grid through the power control system. For example, the terminal obtains the input situation of the real-time reactive power source in the current power transmission section and the remaining available situation according to the online state estimation result, and can represent the input situation and the remaining available situation through a set A, wherein A ═ { a ═ a1，a2，…，anI represents the identity of the reactive source, when aiWhen 1, it represents that the ith reactive source in the power grid is in use, when aiWhen the value is 0, the ith reactive power source in the power grid is not put into use and belongs to the residual available reactive power sources.
And S200, acquiring the maximum output value of the new energy collection system through a continuous power flow model according to the used limit of the reactive power source and the residual limit of the reactive power source.
The continuous power flow model is a mathematical model for calculating voltage and power in the power grid and is used for analyzing the stability of the voltage of the power grid. The new energy collection system is a system for collecting and concentrating new energy electric power and is used for collecting and merging the new energy electric power into a power grid. The maximum output value of the new energy collection system refers to the maximum power which the new energy collection system can contribute to the whole power grid.
Specifically, the terminal can calculate the output of the new energy collection system through a continuous power flow model according to the used quota and the remaining quota of the reactive power source, and obtains the output limit of the new energy collection system through continuously adjusting the used quota and the remaining quota of the reactive power source, namely: and the maximum output of the new energy collection system.
And step S300, checking whether high-voltage interlocking offline risk exists according to the maximum output value of the new energy collection system and a preset detection rule.
The detection rule refers to a standard for detecting whether high-pressure chain offline risks exist or not. The high-voltage interlocking offline risk refers to the risk that the new energy unit is offline due to overhigh voltage of the new energy collection station.
According to the method for predicting the high-voltage interlocking offline risk, the used amount and the surplus amount of a reactive power source in the power grid are obtained, the dynamic change of the maximum output value of the new energy collecting system is obtained by using the continuous power flow model according to the used amount and the surplus amount, whether the high-voltage interlocking offline risk exists or not is checked according to the maximum value of the dynamic change and a preset detection rule, and the utilization rate of the new energy can be improved.
As an embodiment, as shown in fig. 3, step S200 includes:
step S210, acquiring an initial output value of each new energy station and an initial voltage distribution of each new energy collection station node.
The new energy station is a power plant that generates electric power using renewable energy. The initial output value of the new energy station refers to a power value which is contributed to the power grid by the new energy station in the current state. The new energy collection station node is an entry point of the new energy to the power grid. The initial voltage distribution refers to the voltage value of the node in the current state.
Specifically, the terminal may perform state estimation on the power system by using data measured by a measurement system of the power system, and obtain an initial output condition of each new energy station and an initial voltage value of each new energy collection station node according to a result of the state estimation. The terminal can also obtain the above numerical values through scientific calculation methods such as computer modeling and the like, but is not limited to the numerical values.
And step S220, adjusting the initial output value of each new energy station to obtain the new energy output increase value of the new energy station.
The new energy output increase value refers to adjusting an initial output value of the new energy station according to a preset rule, and the adjusted output value of the new energy station is the new energy output increase value of the new energy station.
Specifically, the terminal may adjust the initial output value of each new energy station according to a preset rule to obtain the new energy output increase value of the new energy station, where the rule may be an adjustment mode input by a user and read by the terminal, may also be an experience function acquired by the terminal from the server, and may also be a rule acquired by the terminal through a machine learning technology and other technologies by using historical data, but is not limited thereto.
For example, the user sets the adjustment mode of the new energy output to be that the new energy output of each new energy station uniformly increases in equal proportion, that is:
PREk+1,r＝q·PREk,r
wherein, PREk,rAnd q is a proportionality coefficient, and represents the output of the new energy when the load flow is calculated at the kth time on the new energy station r.
And step S230, calculating the power flow according to the new energy output increase value to obtain the node voltage of each new energy collection station after adjustment.
The power flow calculation is an electric calculation for researching the steady-state operation condition of the power system.
Specifically, the terminal obtains a new energy output increase value, then calculates the trend by using the new energy output increase value, and obtains the node voltage value of each new energy collection station calculated according to the new energy output increase value.
Step S240, if the adjusted node voltage of the new energy collection station is outside the preset threshold range, the reactive power source is turned on until the adjusted node voltage of the new energy collection station is within the preset threshold range.
The threshold is a critical voltage value for determining whether the voltage is within a preset voltage range, and the threshold may be a user input value read by the terminal.
Specifically, if the terminal determines that the node voltage value of each new energy collection station calculated according to the new energy output increase value is smaller than a preset threshold, a reactive power source is put into the power grid and used for providing sufficient reactive power for the power grid to establish a normal magnetic field, so that devices or electric equipment in the power grid are ensured to be maintained in a rated working state, namely, the voltage value of each new energy collection station node is ensured to be larger than or equal to the preset threshold.
For example, the user input threshold is 0.98p.u., where p.u. represents a per unit value, 215.6V if the per unit value is 220V, and 980V if the per unit value is 1000V. And when the terminal judges that the node voltage of the new energy collection station calculated according to the new energy output increase value is reduced and the voltage is reduced to be less than 0.98p.u., throwing a reactive power source into the power grid to provide reactive power for the power grid, and stopping throwing the reactive power source until the node voltage is recovered to be more than or equal to 0.98p.u.
And step S250, judging whether a power-voltage curve has an inflection point, and if the power-voltage curve has the inflection point, taking a power value corresponding to the inflection point as the maximum output value of the new energy convergence system.
The inflection point is a point on the power-voltage curve at which the curve is no longer smooth.
Specifically, the terminal judges whether an inflection point appears on the power-voltage curve, and if the inflection point appears, the power value corresponding to the inflection point on the power-voltage curve is used as the maximum output value of the new energy convergence system.
For example, as shown in fig. 4, the solid line in the figure is a dynamic power-voltage curve obtained by combining a plurality of static power-voltage curves after the reactive power source is turned on. When the node voltage of the new energy collection station is reduced to 0.98p.u., reactive power sources are input, namely reactive power sources are input at a point a, a point b and a point c. The new energy output corresponding to the points a, b and c is 1672MW, 1928MW and 2046MW respectively. In FIG. 4, four power-voltage curves are shown at Amax、Bmax、Cmax、DmaxThe four points have inflection points, and the power values corresponding to the four inflection points are 2751MW, 2864MW, 2903MW and 2944MW respectively, and it can be understood that when the dynamic change of the reactive power source is considered, the power-voltage curve changes along with the gradual increase of the number of the reactive power sources, and the power value corresponding to the inflection point of the curve is gradually increased, that is, the maximum value of the new energy output is gradually increased. As shown in FIG. 5, FIG. 5 records the maximum output of the new energy collection system in a certain time period in the case of dynamically calculating the switching of the reactive power source, compared with the maximum output of the new energy collection system calculated according to the reactive power compensation switched according to the fixed ruleThe method for dynamically calculating the reactive power source with a large value can improve the utilization rate of new energy.
As an embodiment, as shown in fig. 3, after step S250, the method further includes:
and step S260, if no inflection point appears, returning to the step of adjusting the initial output value of each new energy station to obtain the new energy output increase value of the new energy station until the inflection point appears on the power-voltage curve, and taking the power value corresponding to the inflection point as the maximum output value of the new energy collecting system.
Specifically, when the terminal determines whether an inflection point appears on the power-voltage curve, if the inflection point does not appear, the terminal executes steps S220, S230, S240, and S250 in a loop, until the inflection point appears when step S250 is executed, and the power value corresponding to the inflection point on the power-voltage curve is used as the maximum output value of the new energy convergence system.
As an embodiment, the steps S250 and S260 include:
step S261 uses the power value of the preset multiple as the maximum output value of the new energy collection system.
Specifically, considering the interference of other factors such as system error on inflection point selection, the terminal may consider the control margin when calculating the maximum value, and take the product of the power value and the preset multiple as the maximum output value of the new energy convergence system.
For example, considering a control margin of 15%, the maximum value of the output of the new energy collection system is Pmax＝0.85Pmax0；
Wherein P ismaxIs the maximum output, P, of the energy collection systemmax0The power value is the power value corresponding to the inflection point on the power-voltage curve.
As an embodiment, as shown in fig. 6, step S300 includes:
and S310, judging whether the power grid has a high-voltage interlocking off-grid risk.
The high-voltage interlocking off-line risk refers to the risk that the new energy unit is off-line due to overhigh voltage of the new energy collection station.
Specifically, the terminal judges whether a high-voltage interlocking offline risk exists in the power grid according to a preset safety criterion.
And S320, if the high-voltage interlocking grid disconnection risk exists in the power grid, reducing the maximum output value of the new energy collection system.
Specifically, if the terminal judges that the high-voltage interlocking offline risk exists when the new energy unit works in the state of the current maximum output value of the new energy, the maximum output value of the new energy collecting system is reduced. If the terminal takes the control margin into account when calculating the maximum value, the maximum value may be decreased by increasing the margin, for example, from 15% to 20%.
As an embodiment, step S310 includes:
step S311, adding or subtracting one reactive power source in the power grid, and adjusting the reactive power source in the power grid.
Specifically, when the terminal adjusts a reactive power source in the power grid, a reactive power source may be added to the power grid, or a reactive power source may be decreased from the power grid.
For example, the set a ═ { a ═ a1，a2，…，anAnd when the elements in the set A are modified, one element in the initial set A is modified each time, namely an event, when one element in the set A is changed from 1 to 0, the element in the set A indicates that one reactive source in the power grid is reduced, and when one element in the set A is changed from 0 to 1, the element in the set A indicates that one reactive source in the power grid is added.
Step S312, calculating the adjusted node voltage of the new energy collection station.
Specifically, after the reactive power source in the power grid is adjusted, the terminal calculates the node voltage of the new energy collection station according to the adjusted reactive power source input condition.
Step 313, judging whether the adjusted node voltage of the new energy collection station is greater than a safety threshold.
The safety threshold is a critical voltage for judging whether the new energy collection station causes the new energy unit to be disconnected due to overhigh voltage.
Specifically, the terminal judges whether the voltage of the new energy collection station after adjustment calculated according to the reactive power source input condition after adjustment is larger than a safety threshold value. For example, the terminal may determine whether the voltage of the new energy collection station fails to satisfy the following relationship:
U≤1.2p.u.
wherein, U represents the voltage of the new energy collection station, and p.u. represents the voltage per unit value.
Step S314, if the adjusted node voltage of the new energy collection station is greater than the safety threshold, the power grid has the risk of high-voltage chain disconnection.
Specifically, if the terminal determines that the adjusted voltage of the new energy collection station is greater than a safety threshold, the power grid has the high-voltage linkage off-grid risk.
As an embodiment, step S311 includes:
step S3111, disconnecting a maximum capacitance branch or a maximum reactance branch of the new energy collection station in the power grid; or:
and step S3112, any static var compensator or capacitor or reactor of the new energy transformer substation is turned off.
The maximum capacitance branch refers to a branch with the maximum capacitance value in the new energy collection station. The maximum inductance branch refers to a branch with the maximum inductance value in the new energy collection station.
Specifically, the terminal may adjust the reactive power source in the power grid by the following method: disconnecting a maximum capacitance branch or a maximum reactance branch of a new energy collection station in the power grid; or any static reactive compensator or capacitor or reactor of the new energy substation is turned off.
For example, as shown in fig. 7, Case1 represents a power-voltage curve obtained by the conventional static method, namely: PV curve with an inflection point P1max0When the control margin of 15% is considered, the maximum output value of the new energy collecting system is P1max＝0.85P1max0＝2341MW；
Case2 shows a PV curve after 3 60Mvar capacitors are put into a remaining substation and 8 10Mvar capacitors are put into a subordinate wind farm, and corresponds to a Case that when the output of new energy is gradually increased, the power is put into the substation and the wind farm capacitors in sequence in groups to stabilize the voltage. The inflection point of the PV curve corresponding to Case2 is P2max0When the control margin of 15 percent is considered, the maximum value of the new energy output is P at the moment2max＝0.85 P2max0＝2468MW；
Case3 represents a safety check event, and at this time, the PV curve corresponding to the one (60Mvar, also located at the substation) with the largest capacity put into the capacitor in real time exits the operation due to the reason;
case4 represents another safety check event corresponding to a PV curve where the capacitance of one of the real-time input capacitors at the wind farm is taken out of operation for any reason.
According to actual conditions, the situations that the single substation capacitor (with large capacity) and the single wind farm capacitor (with small capacity) are out of operation, namely the situations of Case3 and Case4 are considered respectively. As can be seen from FIG. 7, the output of the new energy collecting system reaches the maximum value P2maxWhen all capacitors work normally, the system cannot generate voltage instability, when a single capacitor exits in a fault, the system is respectively positioned at a point E on a Case3 curve and a point F on a Case4 curve corresponding to different exiting conditions, at the moment, the system still cannot generate voltage instability as can be seen from the graph, the voltages of all nodes in a power grid are still in a good range, and the risk of high-voltage interlocking grid disconnection does not exist, so the maximum output value of the new energy collection system is P2maxAnd when the system is stable, the safety check is passed.
As an embodiment, please refer to fig. 8, a method for predicting risk of high-voltage chain tripping includes: firstly, obtaining the input condition of a real-time reactive power source and the available condition of a residual reactive power source in the current system based on the online state estimation result of the power grid; then, calculating a power-voltage curve by adopting a continuous power flow model to obtain a maximum value of the output power of the renewable energy source corresponding to the inflection point of the power-voltage curve, and obtaining the maximum value of the output power of the renewable energy source by considering a certain margin; finally, checking whether high-voltage interlocking offline risks exist or not according to a reactive source N-1 principle; if the high-voltage interlocking off-line risk exists, increasing the control margin; and if the high-voltage interlocking offline risk does not exist, outputting the maximum output power of the renewable energy source.
It should be understood that although the various steps in the flow charts of fig. 1-8 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least some of the steps in fig. 1-8 may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternating with other steps or at least some of the sub-steps or stages of other steps.
Referring to fig. 9, an embodiment of the present application is summarized, and a device 6000 for predicting risk of high-voltage chain tripping is further provided, where the device 6000 includes:
the reactive power source counting module 601 is used for acquiring the used amount of a reactive power source in a power grid and the remaining amount of the reactive power source;
the maximum output value obtaining module 602 is configured to obtain a maximum output value of the new energy collection system through a continuous power flow model according to the used amount of the reactive power source and the remaining amount of the reactive power source;
and a risk checking module 603, configured to check whether there is a high-voltage interlock offline risk according to the maximum output value of the new energy collection system and a preset detection rule.
According to the device for predicting the high-voltage interlocking offline risk, the used amount and the surplus amount of the reactive power source in the power grid are obtained, the dynamic change of the maximum output value of the new energy collecting system is obtained by using the continuous power flow model according to the used amount and the surplus amount, and whether the high-voltage interlocking offline risk exists or not is checked according to the maximum value of the dynamic change and the preset detection rule, so that the utilization rate of the new energy can be improved.
As an embodiment, the output maximum obtaining module 602 includes:
the initial value adjusting module is used for acquiring initial output values of all the new energy stations and initial voltage distribution of nodes of all the new energy collection stations;
the growth value acquisition module is used for adjusting the initial output value of each new energy station to obtain the new energy output growth value of the new energy station;
the node voltage acquisition module is used for calculating power flow according to the new energy output increase value to obtain the adjusted node voltage of each new energy collection station;
the reactive power source inputting module is used for inputting the reactive power source if the adjusted node voltage of the new energy collecting station is out of a preset threshold range until the adjusted node voltage of the new energy collecting station is within the preset threshold range;
and the inflection point judging module is used for judging whether an inflection point appears on the power-voltage curve, and if the inflection point appears on the power-voltage curve, taking the power value corresponding to the inflection point as the maximum output value of the new energy convergence system.
As an embodiment, after the inflection point determining module, the method further includes:
and the circulating module is used for returning to the step of adjusting the initial force output value of each new energy station to obtain the new energy output increase value of the new energy station if no inflection point appears until a power-voltage curve appears, and taking the power value corresponding to the inflection point as the maximum output value of the new energy collecting system.
As an embodiment, the inflection point determining module and the loop module include:
and the margin control module is used for taking the power value of the preset multiple as the maximum output value of the new energy collecting system.
As an embodiment, the risk checking module 603 includes:
the risk judgment module is used for judging whether the power grid has high-voltage interlocking off-grid risk;
and the maximum value reducing module is used for reducing the maximum output value of the new energy collection system if the high-voltage interlocking grid disconnection risk exists in the power grid.
As an embodiment, the risk judging module includes:
the reactive power source increasing and decreasing module is used for increasing or decreasing one reactive power source in the power grid and adjusting the reactive power source in the power grid;
the collecting station voltage calculating module is used for calculating the adjusted node voltage of the new energy collecting station;
the collecting station voltage comparison module is used for judging whether the adjusted node voltage of the new energy collecting station is greater than a safety threshold value or not;
and the risk confirmation module is used for judging that the high-voltage linkage offline risk exists in the power grid if the adjusted node voltage of the new energy collection station is greater than the safety threshold.
As an embodiment, wherein the reactive source increasing and decreasing module includes:
the reactive power source branch circuit quits the operation module and is used for disconnecting a maximum capacitance branch circuit or a maximum reactance branch circuit of the new energy collection station in the power grid; or:
and the reactive power source generator exits the operation module and is used for closing any static reactive compensator or capacitor or reactor of the new energy transformer substation.
For specific limitations of the device for predicting the high-pressure interlocking risk of escaping, reference may be made to the above limitations of the method for predicting the high-pressure interlocking risk of escaping, and details are not repeated here. All or part of the modules in the high-voltage interlocking offline risk prediction device can be realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as shown in fig. 10. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer device is used for storing relevant information data such as safety threshold values and the like. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a method for predicting risk of high-voltage cascading outages.
Those skilled in the art will appreciate that the architecture shown in fig. 10 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
A computer device comprising a memory and a processor, the memory storing a computer program, the processor implementing the following steps when executing the computer program:
acquiring the used amount of a reactive power source in a power grid and the remaining amount of the reactive power source;
acquiring the maximum output value of the new energy collection system through a continuous power flow model according to the used amount of the reactive power source and the residual amount of the reactive power source;
and checking whether high-voltage interlocking offline risks exist or not according to the maximum output value of the new energy collection system and a preset detection rule.
According to the method for predicting the high-voltage interlocking offline risk, the used amount and the surplus amount of a reactive power source in the power grid are obtained, the dynamic change of the maximum output value of the new energy collecting system is obtained by using the continuous power flow model according to the used amount and the surplus amount, whether the high-voltage interlocking offline risk exists or not is checked according to the maximum value of the dynamic change and a preset detection rule, and the utilization rate of the new energy can be improved.
As an embodiment, the step executed by the processor of obtaining the maximum value of the output of the new energy collection system through the continuous power flow model according to the used quota of the reactive power source and the remaining quota of the reactive power source includes:
acquiring an initial output value of each new energy station and an initial voltage distribution of each new energy collection station node;
adjusting the initial output value of each new energy station to obtain a new energy output increase value of the new energy station;
calculating the power flow according to the new energy output increase value to obtain the node voltage of each new energy collection station after adjustment;
if the adjusted node voltage of the new energy collection station is out of a preset threshold range, the reactive power source is put into use until the adjusted node voltage of the new energy collection station is within the preset threshold range;
and judging whether a power-voltage curve has an inflection point, and if the power-voltage curve has the inflection point, taking a power value corresponding to the inflection point as the maximum output value of the new energy convergence system.
As an embodiment, after the step of determining whether an inflection point appears on the power-voltage curve and taking a power value corresponding to the inflection point as the maximum output of the new energy pooling system if the inflection point appears on the power-voltage curve, the method further includes:
and if no inflection point appears, returning to the step of adjusting the initial output value of each new energy station to obtain the new energy output increase value of the new energy station until the inflection point appears on the power-voltage curve, and taking the power value corresponding to the inflection point as the maximum output value of the new energy convergence system.
As an embodiment, the step of using the power value corresponding to the inflection point as the maximum output of the new energy pooling system, which is executed by the processor, includes:
and taking the power value of the preset multiple as the maximum output value of the new energy collection system.
As an embodiment, the step executed by the processor of checking whether there is a risk of high-voltage chain disconnection according to the maximum value of the new energy collection system and a preset detection rule includes:
judging whether the power grid has a high-voltage interlocking off-grid risk;
and if the high-voltage interlocking off-line risk exists in the power grid, reducing the maximum output value of the new energy collection system.
As an embodiment, the step of determining whether the grid is at risk of high-voltage cascading disconnection executed by a processor includes:
adding or reducing one reactive power source in the power grid, and adjusting the reactive power source in the power grid;
calculating the adjusted node voltage of the new energy collection station;
judging whether the adjusted node voltage of the new energy collection station is greater than a safety threshold value or not;
and if the adjusted node voltage of the new energy collection station is greater than the safety threshold, the power grid has the high-voltage linkage offline risk.
As an embodiment, the step of adding or subtracting one of the reactive power sources in the power grid, and adjusting the reactive power sources in the power grid, performed by the processor, includes:
disconnecting a maximum capacitance branch or a maximum reactance branch of the new energy collection station in the power grid; or:
and turning off any static reactive compensator or capacitor or reactor of the new energy substation.
A computer-readable storage medium, on which a computer program is stored which, when executed by a processor, carries out the steps of:
acquiring the used amount of a reactive power source in a power grid and the remaining amount of the reactive power source;
acquiring the maximum output value of the new energy collection system through a continuous power flow model according to the used amount of the reactive power source and the residual amount of the reactive power source;
and checking whether high-voltage interlocking offline risks exist or not according to the maximum output value of the new energy collection system and a preset detection rule.
According to the method for predicting the high-voltage interlocking offline risk, the used amount and the surplus amount of a reactive power source in the power grid are obtained, the dynamic change of the maximum output value of the new energy collecting system is obtained by using the continuous power flow model according to the used amount and the surplus amount, whether the high-voltage interlocking offline risk exists or not is checked according to the maximum value of the dynamic change and a preset detection rule, and the utilization rate of the new energy can be improved.
As an embodiment, the step executed by the processor of obtaining the maximum value of the output of the new energy collection system through the continuous power flow model according to the used quota of the reactive power source and the remaining quota of the reactive power source includes:
acquiring an initial output value of each new energy station and an initial voltage distribution of each new energy collection station node;
adjusting the initial output value of each new energy station to obtain a new energy output increase value of the new energy station;
calculating the power flow according to the new energy output increase value to obtain the node voltage of each new energy collection station after adjustment;
if the adjusted node voltage of the new energy collection station is out of a preset threshold range, the reactive power source is put into use until the adjusted node voltage of the new energy collection station is within the preset threshold range;
and judging whether a power-voltage curve has an inflection point, and if the power-voltage curve has the inflection point, taking a power value corresponding to the inflection point as the maximum output value of the new energy convergence system.
As an embodiment, after the step of determining whether an inflection point appears on the power-voltage curve and taking a power value corresponding to the inflection point as the maximum output of the new energy pooling system if the inflection point appears on the power-voltage curve, the method further includes:
and if no inflection point appears, returning to the step of adjusting the initial output value of each new energy station to obtain the new energy output increase value of the new energy station until the inflection point appears on the power-voltage curve, and taking the power value corresponding to the inflection point as the maximum output value of the new energy convergence system.
As an embodiment, the step of using the power value corresponding to the inflection point as the maximum output of the new energy pooling system, which is executed by the processor, includes:
and taking the power value of the preset multiple as the maximum output value of the new energy collection system.
As an embodiment, the step executed by the processor of checking whether there is a risk of high-voltage chain disconnection according to the maximum value of the new energy collection system and a preset detection rule includes:
judging whether the power grid has a high-voltage interlocking off-grid risk;
and if the high-voltage interlocking off-line risk exists in the power grid, reducing the maximum output value of the new energy collection system.
As an embodiment, the step of determining whether the grid is at risk of high-voltage cascading disconnection executed by a processor includes:
adding or reducing one reactive power source in the power grid, and adjusting the reactive power source in the power grid;
calculating the adjusted node voltage of the new energy collection station;
judging whether the adjusted node voltage of the new energy collection station is greater than a safety threshold value or not;
and if the adjusted node voltage of the new energy collection station is greater than the safety threshold, the power grid has the high-voltage linkage offline risk.
As an embodiment, the step of adding or subtracting one of the reactive power sources in the power grid, and adjusting the reactive power sources in the power grid, performed by the processor, includes:
disconnecting a maximum capacitance branch or a maximum reactance branch of the new energy collection station in the power grid; or:
and turning off any static reactive compensator or capacitor or reactor of the new energy substation.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.

Claims (10)

1. A method for predicting high-pressure linked offline risk, the method comprising:
acquiring the used amount of a reactive power source in a power grid and the remaining amount of the reactive power source;
acquiring the maximum output value of the new energy collection system through a continuous power flow model according to the used amount of the reactive power source and the residual amount of the reactive power source;
and checking whether the power grid has high-voltage interlocking offline risk or not according to the maximum output value of the new energy collection system and a preset detection rule, and reducing the maximum output value of the new energy collection system if the power grid is checked to have the high-voltage interlocking offline risk.
2. The method of claim 1, wherein obtaining the maximum value of the output of the new energy collection system through a continuous power flow model according to the used quota of the reactive power source and the remaining quota of the reactive power source comprises:
acquiring an initial output value of each new energy station and an initial voltage distribution of each new energy collection station node;
adjusting the initial output value of each new energy station to obtain a new energy output increase value of the new energy station;
calculating the power flow according to the new energy output increase value to obtain the node voltage of each new energy collection station after adjustment;
if the adjusted node voltage of the new energy collection station is out of a preset threshold range, the reactive power source is put into use until the adjusted node voltage of the new energy collection station is within the preset threshold range;
and judging whether a power-voltage curve has an inflection point, and if the power-voltage curve has the inflection point, taking a power value corresponding to the inflection point as the maximum output value of the new energy convergence system.
3. The method according to claim 2, wherein the step of determining whether an inflection point appears in the power-voltage curve, and if the inflection point appears in the power-voltage curve, taking a power value corresponding to the inflection point as the maximum output of the new energy pooling system further comprises:
and if no inflection point appears, returning to the step of adjusting the initial output value of each new energy station to obtain the new energy output increase value of the new energy station until the inflection point appears on the power-voltage curve, and taking the power value corresponding to the inflection point as the maximum output value of the new energy convergence system.
4. The method according to claim 2 or 3, wherein the step of taking the power value corresponding to the inflection point as the maximum output of the new energy pooling system comprises:
and taking the power value of the preset multiple as the maximum output value of the new energy collection system.
5. The method of claim 1, wherein the reducing the maximum value of the new energy pooling system output if the grid is checked for the risk of high voltage cascading outages comprises:
and if the high-voltage interlocking off-line risk exists in the power grid, increasing a control margin to reduce the maximum output value of the new energy collection system.
6. The method of claim 5, wherein the verifying that the grid is at the risk of high voltage cascading outages comprises:
adding or reducing one reactive power source in the power grid, and adjusting the reactive power source in the power grid;
calculating the adjusted node voltage of the new energy collection station;
judging whether the adjusted node voltage of the new energy collection station is greater than a safety threshold value or not;
and if the adjusted node voltage of the new energy collection station is greater than the safety threshold, the power grid has the high-voltage linkage offline risk.
7. The method of claim 6, wherein said adding or subtracting one of said reactive sources from said grid, adjusting said reactive sources in said grid, comprises:
disconnecting a maximum capacitance branch or a maximum reactance branch of the new energy collection station in the power grid; or:
and turning off any static reactive compensator or capacitor or reactor of the new energy substation.
8. A device for predicting risk of high-voltage chain haul-off, the device comprising:
the reactive power source counting module is used for acquiring the used amount of a reactive power source in a power grid and the residual amount of the reactive power source;
the maximum output value acquisition module is used for acquiring the maximum output value of the new energy collection system through a continuous power flow model according to the used amount of the reactive power source and the residual amount of the reactive power source;
and the risk checking module is used for checking whether the power grid has high-voltage interlocking offline risk according to the maximum output value of the new energy collection system and a preset detection rule, and reducing the maximum output value of the new energy collection system if the power grid is checked to have the high-voltage interlocking offline risk.
9. A computer device comprising a memory and a processor, the memory storing a computer program, wherein the processor implements the steps of the method of any one of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 7.
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