CN112398129B - Auxiliary decision-making method, device and storage medium for risk control after power grid accident - Google Patents

Auxiliary decision-making method, device and storage medium for risk control after power grid accident Download PDF

Info

Publication number
CN112398129B
CN112398129B CN202011410495.7A CN202011410495A CN112398129B CN 112398129 B CN112398129 B CN 112398129B CN 202011410495 A CN202011410495 A CN 202011410495A CN 112398129 B CN112398129 B CN 112398129B
Authority
CN
China
Prior art keywords
power grid
fault
current monitoring
load
power
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202011410495.7A
Other languages
Chinese (zh)
Other versions
CN112398129A (en
Inventor
俞晓峰
卢远
黄祎
黄志东
冼永生
肖昱杭
黄冕
邬中生
李宇健
曾丁
包小兵
黄炳鹏
何健
吴泽民
叶丽婕
罗日欣
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Guangdong Power Grid Co Ltd
Heyuan Power Supply Bureau of Guangdong Power Grid Co Ltd
Original Assignee
Guangdong Power Grid Co Ltd
Heyuan Power Supply Bureau of Guangdong Power Grid Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Guangdong Power Grid Co Ltd, Heyuan Power Supply Bureau of Guangdong Power Grid Co Ltd filed Critical Guangdong Power Grid Co Ltd
Priority to CN202011410495.7A priority Critical patent/CN112398129B/en
Publication of CN112398129A publication Critical patent/CN112398129A/en
Application granted granted Critical
Publication of CN112398129B publication Critical patent/CN112398129B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/001Methods to deal with contingencies, e.g. abnormalities, faults or failures
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0635Risk analysis of enterprise or organisation activities
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/04Circuit arrangements for ac mains or ac distribution networks for connecting networks of the same frequency but supplied from different sources
    • H02J3/06Controlling transfer of power between connected networks; Controlling sharing of load between connected networks
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/12Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
    • H02J3/14Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by switching loads on to, or off from, network, e.g. progressively balanced loading
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/38Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/46Controlling of the sharing of output between the generators, converters, or transformers
    • H02J3/466Scheduling the operation of the generators, e.g. connecting or disconnecting generators to meet a given demand
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2111/00Details relating to CAD techniques
    • G06F2111/04Constraint-based CAD
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2111/00Details relating to CAD techniques
    • G06F2111/06Multi-objective optimisation, e.g. Pareto optimisation using simulated annealing [SA], ant colony algorithms or genetic algorithms [GA]
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/10Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02BCLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B70/00Technologies for an efficient end-user side electric power management and consumption
    • Y02B70/30Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
    • Y02B70/3225Demand response systems, e.g. load shedding, peak shaving
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S20/00Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
    • Y04S20/20End-user application control systems
    • Y04S20/222Demand response systems, e.g. load shedding, peak shaving

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Human Resources & Organizations (AREA)
  • Power Engineering (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Economics (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Strategic Management (AREA)
  • General Physics & Mathematics (AREA)
  • Educational Administration (AREA)
  • Quality & Reliability (AREA)
  • Tourism & Hospitality (AREA)
  • Operations Research (AREA)
  • General Business, Economics & Management (AREA)
  • Marketing (AREA)
  • Game Theory and Decision Science (AREA)
  • Development Economics (AREA)
  • Computer Hardware Design (AREA)
  • Evolutionary Computation (AREA)
  • Geometry (AREA)
  • General Engineering & Computer Science (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The invention discloses a power grid accident risk control auxiliary decision method, a device and a storage medium, wherein the power grid accident risk control auxiliary decision method comprises the following steps: after an accident occurs in the current monitoring power grid, carrying out optimal load reduction on the current monitoring power grid; recovering the power grid fault of the current monitoring power grid after load reduction based on a network reconstruction method; and determining a transfer strategy of the current monitoring power grid based on the risk minimization target aiming at the fault equipment in the current monitoring power grid. The auxiliary decision-making method, the auxiliary decision-making device and the storage medium for risk control after power grid accident can effectively improve the efficiency of fault recovery of the power grid after the fault and reduce the risk of the power grid.

Description

Auxiliary decision-making method, device and storage medium for risk control after power grid accident
Technical Field
The embodiment of the invention relates to an electric power technology, in particular to a risk control auxiliary decision method, a risk control auxiliary decision device and a storage medium after an electric network accident.
Background
With the rapid development of social life and production, the operation and application of electric power systems have become more and more complex and unstable. Therefore, the accident rate of the power system is relatively increased, and the loss caused by the accident is difficult to measure. Especially in regional power grid application, because some equipment is slow to update and protective measures are not in place, heavy load and even overload phenomenon often occur, the safety and stability of power grid operation are reduced, and certain difficulty is brought to maintaining the normal power supply of the power grid.
Disclosure of Invention
The invention provides a post-grid accident risk control auxiliary decision-making method, a post-grid accident risk control auxiliary decision-making device and a storage medium, which can effectively improve the efficiency of fault recovery of a grid after faults and reduce the risk of the grid.
In a first aspect, an embodiment of the present invention provides a method for auxiliary decision making for risk control after a power grid accident, including:
after an accident occurs in the current monitoring power grid, carrying out optimal load reduction on the current monitoring power grid;
recovering the power grid fault of the current monitoring power grid after load reduction based on a network reconstruction method;
and determining a transfer strategy of the current monitoring power grid based on the risk minimization target aiming at the fault equipment in the current monitoring power grid.
In one possible implementation manner of the first aspect, performing optimal load shedding on the current monitoring grid includes:
performing optimal load reduction on the current monitoring power grid by taking the minimum objective function of total outage power of the power grid as an optimal load reduction model
Wherein DeltaP Li Indicating the load active reduction amount, deltaQ Li Indicating the reactive load reduction, N b Indicating the number of load shedding nodes selected in the current monitoring grid.
In one possible implementation manner of the first aspect, the grid total outage power minimum objective function has the following objective constraint conditions:
node power balancing
Wherein P is Gi Representing the active power of the generator, P Li Representing the active power of each load;
node reactive power balancing
Wherein Q is Gi Representing reactive power of generator, Q Li Representing reactive power of each load;
active power output constraint of generator
Wherein, Gi Prespectively representing an upper limit and a lower limit of the active output of the generator;
adjustable reactive power supply output constraint
Wherein, Gi Qrespectively representing an upper limit and a lower limit of reactive output of the generator;
line tide constraint
Wherein, ij Prespectively representing upper and lower limits of active transmission capacity of the transmission line;
node voltage constraint
Wherein, i Vrespectively representing the upper limit and the lower limit of the voltage amplitude of each node;
load node shedding active load capacity constraint
Wherein, an upper limit indicating the amount of active load reduction;
load node shedding reactive load capacity constraint
Wherein, the upper limit of the reactive load reduction amount is indicated.
In a possible implementation manner of the first aspect, recovering a power grid fault based on a network reconstruction method for a current monitored power grid after load shedding includes:
performing fault location on the current monitoring power grid after load reduction and determining load reduction;
network reconstruction is carried out on the current monitoring power grid, and the reconstructed current monitoring power grid meets the following conditions: and recovering the electric load in turn according to the priority of load reduction, wherein the reconstructed power grid structure is closest to the power grid structure before reconstruction, the equipment in the reconstructed power grid is not overloaded, and the switching operation times are minimum.
In a possible implementation manner of the first aspect, the network reconfiguration of the current monitoring power grid includes:
the fault recovery is realized by changing the internal switch state of the transformer substation, if the fault recovery is performed, a network reconstruction scheme is determined, otherwise, a fault influence range is obtained, and a fault tree is formed;
if the fault tree only comprises the current distribution area in the distribution network, searching a tie line in the current distribution area to realize fault recovery, if the fault tree is recovered, determining a network reconstruction scheme, otherwise, determining the network reconstruction scheme among the distribution networks;
if the fault tree contains the whole power supply area in the power distribution network or the network reconstruction scheme is not determined in the current power distribution area in the power distribution network, searching a load transfer path between the power distribution networks, if the fault is recovered, determining the network reconstruction scheme, otherwise, searching the load transfer path to the power supply areas of other power distribution networks to form a remote network reconstruction scheme.
In a possible implementation manner of the first aspect, for a faulty device in a current monitoring power grid, determining a forwarding policy of the current monitoring power grid based on a risk minimization target includes:
obtaining a risk grade of the fault equipment through risk identification;
determining whether degradation is required according to the risk level;
if the risk is required to be degraded, network topology tracking is carried out through a risk existence range, a transfer strategy is generated according to a tide calculation conclusion, and risk identification is carried out again after transfer;
if no degradation is needed, generating a transfer strategy after reaching a degradation target through iterative computation.
In a possible implementation manner of the first aspect, after determining a current monitored power grid transfer strategy based on a risk minimization target, the method further includes:
carrying out load flow calculation on the transfer strategy, and determining whether the transfer strategy causes overload of key equipment;
if yes, determining that the transfer strategy is not available, otherwise, analyzing N-1 aiming at the transfer strategy, determining whether overload of key equipment is caused after N-1, and if not, outputting the transfer strategy;
if overload occurs, carrying out load flow calculation after adopting a spare power automatic switching exit scheme according to the overload, determining whether overload of key equipment occurs, and if overload does not occur, outputting a transfer strategy;
and if overload occurs, outputting an orderly power utilization scheme.
In a second aspect, an embodiment of the present invention provides a risk control auxiliary decision device after a power grid accident, including:
the load reduction module is used for carrying out optimal load reduction on the current monitoring power grid after the current monitoring power grid has an accident;
the network reconstruction module is used for recovering the power grid fault of the current monitoring power grid subjected to load reduction based on a network reconstruction method;
and the transfer supply module is used for determining a transfer supply strategy of the current monitoring power grid based on the risk minimization target aiming at fault equipment in the current monitoring power grid after the power grid fault is recovered.
In a possible implementation manner of the second aspect, the network reconfiguration module is specifically configured to implement fault recovery by changing a switch state in the substation, determine a network reconfiguration scheme if the fault recovery is performed, and otherwise obtain a fault influence range to form a fault tree; if the fault tree only comprises the current distribution area in the distribution network, searching a tie line in the current distribution area to realize fault recovery, if the fault tree is recovered, determining a network reconstruction scheme, otherwise, determining the network reconstruction scheme among the distribution networks; if the fault tree contains the whole power supply area in the power distribution network or the network reconstruction scheme is not determined in the current power distribution area in the power distribution network, searching a load transfer path between the power distribution networks, if the fault is recovered, determining the network reconstruction scheme, otherwise, searching the load transfer path to the power supply areas of other power distribution networks to form a remote network reconstruction scheme.
In a third aspect, an embodiment of the present invention provides a computer readable storage medium, on which a computer program is stored, which when executed by a processor implements a post-grid-accident risk control aid decision-making method as in any one of the implementations of the first aspect.
According to the method, the device and the storage medium for auxiliary decision making of risk control after the power grid accident, after the current monitoring power grid has an accident, the current monitoring power grid is subjected to optimal load reduction, then the current monitoring power grid subjected to load reduction is subjected to power grid fault recovery based on a network reconstruction method, and finally a transfer strategy of the current monitoring power grid based on a risk minimization target is determined according to fault equipment in the current monitoring power grid.
Drawings
Fig. 1 is a flowchart of a post-grid-accident risk control auxiliary decision-making method provided by an embodiment of the present invention;
fig. 2 is a network reconfiguration flowchart in a post-grid-accident risk control auxiliary decision method according to an embodiment of the present invention;
fig. 3 is a flowchart of a transfer strategy in a post-grid-accident risk control auxiliary decision method according to an embodiment of the present invention;
fig. 4 is a flow chart of a transfer discrimination in a risk control auxiliary decision method after a grid accident according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of an auxiliary decision device for risk control after a grid accident according to an embodiment of the present invention.
Detailed Description
The invention is described in further detail below with reference to the drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting thereof. It should be further noted that, for convenience of description, only some, but not all of the structures related to the present invention are shown in the drawings.
Fig. 1 is a flowchart of a post-grid-accident risk control auxiliary decision method provided by an embodiment of the present invention, as shown in fig. 1, where the post-grid-accident risk control auxiliary decision method provided by the embodiment of the present invention includes:
and step S101, after an accident occurs in the current monitoring power grid, carrying out optimal load reduction on the current monitoring power grid.
The risk control auxiliary decision method after the power grid accident is used for carrying out risk identification on the power grid with the accident, so that the power grid can carry out network topology tracking on the risk existence range according to the risk identification result, find out all possible transfer schemes and provide an auxiliary decision scheme for dispatching optimization.
After an accident occurs to the power grid, various parameters in the power grid are changed, so that the accident can be known from the monitoring of multiple power grid parameters. However, the accident of the power grid is generally caused by the equipment or line fault, so that the load that the power grid with the accident can bear is reduced, and if the power grid with the accident still bears the original load, the condition of heavy load or overload of other equipment in the power grid can be caused, so that the power grid can be at greater risk. Therefore, in this embodiment, the power grid is monitored first, that is, various parameters in the power grid are monitored, and when one or more parameters in the power grid characterize a power grid accident, the current monitored power grid accident is determined. And if the current monitoring power grid has an accident, firstly carrying out optimal load reduction on the current monitoring power grid. The optimal load reduction is to reduce the load of the power grid with accidents and avoid the condition that the power grid is overloaded or overloaded due to high load.
The optimal load reduction is to calculate the power failure in a risk state by adopting load loss operation and based on optimal power unit output arrangement and power grid power flow distribution. By means of load shedding measures, the operational risk of the power grid can be reduced with minimal load costs.
In one embodiment, the current monitoring grid may be optimally load curtailed by using the grid total blackout power minimum objective function as an optimal load curtailment model
Wherein DeltaP Li Indicating the load active reduction amount, deltaQ Li Indicating the reactive load reduction, N b Indicating the number of load shedding nodes selected in the current monitoring grid.
Further, the grid total outage power minimum objective function f (x) has the following objective constraint conditions: 1) Node power balancing
Wherein P is Gi Representing the active power of the generator, P Li Representing the active power of each load; 2) Node reactive power balancing
Wherein Q is Gi Representing reactive power of generator, Q Li Representing reactive power of each load; 3) Active power output constraint of generator
Wherein, Gi Prespectively representing an upper limit and a lower limit of the active output of the generator;
4) Adjustable reactive power supply output constraint
Wherein, Gi Qrespectively representing an upper limit and a lower limit of reactive output of the generator;
5) Line tide constraint
Wherein, ij Prespectively representing upper and lower limits of active transmission capacity of the transmission line;
6) Node voltage constraint
Wherein, i Vrespectively representing the upper limit and the lower limit of the voltage amplitude of each node;
7) Load node shedding active load capacity constraint
Wherein, an upper limit indicating the amount of active load reduction;
8) Load node shedding reactive load capacity constraint
Wherein, the upper limit of the reactive load reduction amount is indicated.
Through the 8 target constraint conditions, an optimal solution of a minimum objective function of the total outage power of the power grid can be obtained, and therefore an optimal load reduction scheme of the current monitoring power grid is determined.
And step S102, recovering the power grid fault of the current monitoring power grid after load reduction based on a network reconstruction method.
After load shedding is performed on the current monitoring power grid, a scheme for reconstructing the network to recover the power grid fault can be determined. The network reconstruction is to adjust the network structure, and the network structure adjustment is an important means for optimizing the operation of the power grid and reducing the operation risk of the power grid. Network reconfiguration refers to under normal operating conditions: switching operation is carried out according to the network operation condition to adjust the network structure, on one hand, the load is balanced, overload is eliminated, and the quality of the power supply voltage is improved; on the other hand, the network loss is reduced, and the economical efficiency of the system is improved. Under grid fault conditions: through network reconstruction, the fault can be isolated when the fault occurs, the power failure range is reduced, and the power supply is quickly recovered after the fault.
Specifically, recovering the power grid fault of the current monitoring power grid after load reduction based on the network reconstruction method comprises the following steps: and performing fault location on the current monitoring power grid after load reduction, determining load reduction and supply quantity, and then performing network reconstruction on the current monitoring power grid. The reconstructed current monitoring power grid meets the following conditions: and recovering the electric load in turn according to the priority of load reduction, wherein the reconstructed power grid structure is closest to the power grid structure before reconstruction, the equipment in the reconstructed power grid is not overloaded, and the switching operation times are minimum.
That is, the network reconfiguration scheme should satisfy the following conditions: 1) The power-losing load is recovered as much as possible, meanwhile, different grades of the load are considered, and important loads are required to recover power supply preferentially; 2) The number of switching operations should be minimized in consideration of the influence of the switching operation on the lifetime of the switch and the time required for performing the switching operation; 3) The system structure after reconstruction should be as close as possible to the structure before reconstruction and the radiating network structure should be maintained; 4) All devices in the grid cannot be overloaded. The network reconstruction scheme meeting the requirements of the conditions is a multi-objective and multi-constraint decision problem, and is also a multi-stage combination optimization problem, and finally a series of switch action combinations are obtained.
Fig. 2 is a network reconstruction flow chart in a risk control auxiliary decision method after a power grid accident according to an embodiment of the present invention, where, as shown in fig. 2, the network reconstruction method provided in this embodiment includes:
and S201, performing fault location on the current monitoring power grid after load reduction and determining the load reduction.
Step S202, fault recovery is achieved by changing the internal switch state of the transformer substation, and if the fault recovery is achieved, a network reconstruction scheme is determined, namely, step S207 is executed to select the optimal network reconstruction scheme. If the fault is not recovered, the fault influence range is obtained, and a fault tree is formed, that is, step S203 is executed.
Step S203, judging whether the fault tree only contains the current distribution area in the distribution network, if yes, executing step S204, otherwise, executing step S205.
And step S204, if the fault tree only comprises the current distribution area in the distribution network, searching a tie line in the current distribution area to realize fault recovery. If the fault is recovered, determining a network reconstruction scheme, namely executing step S207, otherwise executing step S205 to determine the network reconstruction scheme among the distribution networks;
in step S205, if the fault tree includes the whole power supply area in the power distribution network or the current power distribution area in the power distribution network does not determine the network reconfiguration scheme, then a load transfer path is searched between the power distribution networks, and if the fault is recovered, then the network reconfiguration scheme is determined, that is, step S207 is executed. Otherwise, step S206 is performed.
Step S206, seeking a load transfer path to the power supply area of the other power distribution network to form a remote network reconstruction scheme, that is, executing step S207.
Step S103, determining a transfer strategy of the current monitoring power grid based on the risk minimization target aiming at the fault equipment in the current monitoring power grid.
In step S102, after determining the network reconfiguration scheme of the current monitoring network, the fault devices in the current monitoring power grid are also determined at the same time, and then, for the fault devices in the current monitoring power grid, a forwarding policy of the current monitoring power grid based on the risk minimization target may also be determined. And the optimal transfer strategy with minimum risk is determined by considering the risk of the power grid for the transfer strategy proposed by the current monitoring power grid. The transfer is to replace the fault equipment in the power grid by other equipment or lines, so that the normal power supply of the power grid is recovered. After the transfer strategy of the current monitoring power grid based on the risk minimization target is determined, an auxiliary decision scheme can be provided for dispatching optimization after the power grid accident, so that power grid dispatching personnel can determine a specific scheme for processing the power grid after the fault according to the auxiliary decision scheme, the efficiency of recovering the fault of the power grid after the fault can be effectively improved, and the risk of the power grid is reduced.
Fig. 3 is a flowchart of a transfer strategy in a post-grid-accident risk control auxiliary decision method according to an embodiment of the present invention, where, as shown in fig. 3, the transfer strategy provided in this embodiment includes:
step S301, risk grades are obtained for the fault equipment through risk identification.
Step S302, determining whether degradation is needed according to the risk level. If so, step S303 is performed, otherwise step S304 is performed.
Step S303, if the degradation is needed, network topology tracking is performed through the risk existence range, a transfer strategy is generated according to the trend calculation conclusion, and risk identification is performed again after transfer.
Step S304, if no degradation is needed, generating a transfer strategy after reaching a degradation target through iterative computation.
Further, after determining the transfer strategy of the current monitoring power grid based on the risk minimization target, the determined transfer strategy can be further judged to determine whether to generate the transfer strategy so as to find an optimal transfer mode. Fig. 4 is a flowchart of a transfer discrimination in a post-grid-accident risk control auxiliary decision method according to an embodiment of the present invention, as shown in fig. 4, where the transfer discrimination provided in this embodiment includes:
step S401, carrying out load flow calculation on the transfer strategy.
Step S402, determining whether the transfer strategy causes overload of the critical device. And if the overload occurs, determining that the transfer strategy is not available. If not, step S403 is executed.
Step S403, N-1 analysis is performed for the trans-supply strategy.
Step S404, determining whether the critical equipment is overloaded after N-1. And if not, outputting the transfer strategy. If so, step S405 is performed.
Step S405, adopting a spare power automatic switching exit scheme according to the overload quantity.
Step S406, carrying out load flow calculation to determine whether overload of key equipment is caused. And if not, outputting the transfer strategy. If so, step S407 is performed.
Step S407, outputting the orderly power utilization scheme. Including the output arrangement first points or compiles and executes the ordered power usage scheme and the required power limit load.
In summary, the trans-supply strategy and the trans-supply discrimination can be summarized as follows: aiming at fault equipment, risk levels are obtained through N-1 risk identification, whether risk is reduced or not is then determined, if the risk levels need to be reduced, network topology tracking is conducted through a risk existence range, a power transfer strategy is generated according to a power flow calculation conclusion (a power transfer line is found, a power transfer station can be transferred), risk identification is conducted again after power transfer, the risk levels are calculated, if the levels are not reduced to an expected target, power transfer calculation is conducted again, and an optimal power transfer mode is found through repeated iterative calculation optimization.
According to the risk control auxiliary decision method after the power grid accident, after the current monitoring power grid is in accident, the current monitoring power grid is subjected to optimal load reduction, then the power grid fault is recovered based on the network reconstruction method for the current monitoring power grid after the load reduction, finally the transfer strategy of the current monitoring power grid based on the risk minimization target is determined according to the fault equipment in the current monitoring power grid, and as the network topology tracking is carried out on the risk existence range according to the risk identification result, all possible transfer schemes are found, an auxiliary decision scheme is provided for dispatching optimization, the efficiency of fault recovery for the power grid after the fault can be effectively improved, and the risk of the power grid is reduced.
The following describes the auxiliary decision-making method for risk control after the power grid accident provided by the embodiment of the invention by taking a specific power grid accident as an example. Taking the main transformer of the station A running in a certain mode as an example, assume that after the main transformer of the station A #1 fails, the main transformer of the station A #2 is disconnected, so that the 110kV station for supplying power to the station A of the 220kV station is subjected to voltage loss, a secondary event is caused, and a risk identification interface is shown in the table 1:
TABLE 1
By the aid of the power grid risk control auxiliary decision method after accident, all possible transfer schemes can be proposed, and the transfer scheme is verified according to the transfer verification method shown in fig. 4. First, transfer scheme 1 is generated, and transfer scheme 1 is shown in table 2. The transfer scheme 1 shown in table 2 is subjected to load flow calculation to analyze whether the critical equipment is overloaded, if so, the transfer scheme is not feasible, and if so, the N-1 analysis is performed for the transfer scheme.
TABLE 2
After N-1 analysis is carried out on the transfer mode 1 shown in the table 2, G station overload is determined to be caused, different automatic backup power switching exit schemes are adopted according to the two overload conditions, and power flow calculation is carried out. The turndown adjustment scheme is shown in table 3.
TABLE 3 Table 3
As can be seen from table 3, if the power flow calculation still causes the overload of the key equipment after the backup power automatic switching exit scheme is adopted, the turn-by-turn scheme as shown in table 4 is executed. The final orderly power usage pattern will be output finally according to table 4.
TABLE 4 Table 4
Fig. 5 is a schematic structural diagram of a post-grid-accident risk control auxiliary decision device provided by the embodiment of the present invention, as shown in fig. 5, where the post-grid-accident risk control auxiliary decision device provided by the embodiment of the present invention includes:
the load shedding module 51 is configured to perform optimal load shedding on the current monitoring power grid after an accident occurs in the current monitoring power grid.
The network reconstruction module 52 is configured to recover a power grid fault based on a network reconstruction method for the current monitored power grid after load shedding.
The transfer module 53 is configured to determine a transfer policy of the current monitoring grid based on a risk minimization target for a fault device in the current monitoring grid after recovering from the grid fault.
The auxiliary decision-making device for risk control after power grid accident provided in this embodiment is used for implementing the technical scheme of the auxiliary decision-making method for risk control after power grid accident shown in fig. 1, and its implementation principle and technical effect are similar, and will not be described here again.
Further, based on the embodiment shown in fig. 5, the network reconfiguration module 52 is specifically configured to implement fault recovery by changing the internal switch state of the substation, determine a network reconfiguration scheme if the fault is recovered, and otherwise obtain a fault influence range to form a fault tree; if the fault tree only comprises the current distribution area in the distribution network, searching a tie line in the current distribution area to realize fault recovery, if the fault tree is recovered, determining a network reconstruction scheme, otherwise, determining the network reconstruction scheme among the distribution networks; if the fault tree contains the whole power supply area in the power distribution network or the network reconstruction scheme is not determined in the current power distribution area in the power distribution network, searching a load transfer path between the power distribution networks, if the fault is recovered, determining the network reconstruction scheme, otherwise, searching the load transfer path to the power supply areas of other power distribution networks to form a remote network reconstruction scheme.
The invention also provides a storage medium containing computer executable instructions which, when executed by a computer processor, are used to perform a post-grid-accident risk control aid decision making method comprising: after an accident occurs in the current monitoring power grid, carrying out optimal load reduction on the current monitoring power grid; recovering the power grid fault of the current monitoring power grid after load reduction based on a network reconstruction method; and determining a transfer strategy of the current monitoring power grid based on the risk minimization target aiming at the fault equipment in the current monitoring power grid.
Note that the above is only a preferred embodiment of the present invention and the technical principle applied. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, while the invention has been described in connection with the above embodiments, the invention is not limited to the embodiments, but may be embodied in many other equivalent forms without departing from the spirit or scope of the invention, which is set forth in the following claims.

Claims (6)

1. The auxiliary decision-making method for risk control after the power grid accident is characterized by comprising the following steps of:
after an accident occurs in the current monitoring power grid, carrying out optimal load reduction on the current monitoring power grid;
recovering the power grid fault of the current monitoring power grid after load reduction based on a network reconstruction method;
determining a transfer strategy of the current monitoring power grid based on a risk minimization target aiming at the fault equipment in the current monitoring power grid;
the determining, for the fault device in the current monitoring power grid, a transfer strategy of the current monitoring power grid based on a risk minimization target includes:
obtaining a risk grade of the fault equipment through risk identification;
determining whether degradation is required according to the risk level;
if the risk is required to be degraded, network topology tracking is carried out through a risk existence range, a transfer strategy is generated according to a tide calculation conclusion, and risk identification is carried out again after transfer;
if no degradation is needed, generating a transfer strategy after reaching a degradation target through iterative computation;
the method for recovering the power grid fault of the current monitoring power grid after load reduction based on the network reconstruction method comprises the following steps:
performing fault location on the current monitoring power grid after load reduction and determining load reduction;
carrying out network reconstruction on the current monitoring power grid;
the network reconstruction of the current monitoring power grid comprises the following steps:
the fault recovery is realized by changing the internal switch state of the transformer substation, if the fault recovery is performed, a network reconstruction scheme is determined, otherwise, a fault influence range is obtained, and a fault tree is formed;
if the fault tree only comprises the current distribution area in the distribution network, searching a tie line in the current distribution area to realize fault recovery, if the fault tree is recovered, determining a network reconstruction scheme, otherwise, determining the network reconstruction scheme among the distribution networks;
if the fault tree comprises the whole power supply area in the power distribution network or the network reconstruction scheme is not determined in the current power distribution area in the power distribution network, searching a load transfer path between the power distribution networks, if the fault is recovered, determining the network reconstruction scheme, otherwise, searching the load transfer path to the power supply areas of other power distribution networks to form a remote network reconstruction scheme;
after determining the transfer strategy of the current monitoring power grid based on the risk minimization target, the method further comprises the following steps:
carrying out load flow calculation on the transfer strategy, and determining whether the transfer strategy causes overload of key equipment;
if yes, determining that the transfer strategy is not available, otherwise, analyzing N-1 aiming at the transfer strategy, determining whether overload of key equipment is caused after N-1, and if not, outputting the transfer strategy;
if overload occurs, carrying out load flow calculation after adopting a spare power automatic switching exit scheme according to the overload, determining whether overload of key equipment occurs, and if overload does not occur, outputting the transfer strategy;
and if overload occurs, outputting an orderly power utilization scheme.
2. The method of claim 1, wherein the optimally load shedding for the current monitored grid comprises:
performing optimal load reduction on the current monitoring power grid by taking the minimum objective function of total outage power of the power grid as an optimal load reduction model
Wherein DeltaP Li Indicating the load active reduction amount, deltaQ Li Indicating the reactive load reduction, N b Indicating the number of load shedding nodes selected in the current monitoring grid.
3. The method of claim 2, wherein the grid total blackout power minimum objective function has the following objective constraints:
node power balancing
Wherein P is Gi Representing the active power of the generator, P Li Representing the active power of the respective load, P ij Representing the active power flow between node i and node j;
node reactive power balancing
Wherein Q is Gi Representing reactive power of generator, Q Li Representing reactive power of each load, Q ij The reactive power flow between node i and node j is shown;
active power output constraint of generator
Wherein, Gi Prespectively representing an upper limit and a lower limit of the active output of the generator;
adjustable reactive power supply output constraint
Wherein, Gi Qrespectively representing an upper limit and a lower limit of reactive output of the generator;
line tide constraint
Wherein, ij Prespectively represent the upper and lower limits of the active transmission capacity of the transmission line, K ij Active transmission capacity of transmission line node i to transmission line node j;
node voltage constraint
Wherein, i Vrespectively representing the upper limit and the lower limit of the voltage amplitude of each node;
load node shedding active load capacity constraint
Wherein, an upper limit indicating the amount of active load reduction;
load node shedding reactive load capacity constraint
Wherein, the upper limit of the reactive load reduction amount is indicated.
4. A method according to any one of claims 1-3, wherein the current monitoring grid is subjected to network reconstruction, the reconstructed current monitoring grid satisfying the following conditions: and recovering the electric load in turn according to the priority of load reduction, wherein the reconstructed power grid structure is closest to the power grid structure before reconstruction, the equipment in the reconstructed power grid is not overloaded, and the switching operation times are minimum.
5. A post-grid-accident risk control aid decision making device, comprising:
the load reduction module is used for carrying out optimal load reduction on the current monitoring power grid after the current monitoring power grid has an accident;
the network reconstruction module is used for recovering the power grid fault of the current monitoring power grid subjected to load reduction based on a network reconstruction method;
the transfer supply module is used for determining a transfer supply strategy of the current monitoring power grid based on a risk minimization target aiming at fault equipment in the current monitoring power grid after the power grid fault is recovered;
the determining, for the fault device in the current monitoring power grid, a transfer strategy of the current monitoring power grid based on a risk minimization target includes:
obtaining a risk grade of the fault equipment through risk identification;
determining whether degradation is required according to the risk level;
if the risk is required to be degraded, network topology tracking is carried out through a risk existence range, a transfer strategy is generated according to a tide calculation conclusion, and risk identification is carried out again after transfer;
if no degradation is needed, generating a transfer strategy after reaching a degradation target through iterative computation;
the method for recovering the power grid fault of the current monitoring power grid after load reduction based on the network reconstruction method comprises the following steps:
performing fault location on the current monitoring power grid after load reduction and determining load reduction;
carrying out network reconstruction on the current monitoring power grid;
the network reconstruction module is specifically used for realizing fault recovery by changing the internal switch state of the transformer substation, determining a network reconstruction scheme if the fault recovery is performed, and otherwise, acquiring a fault influence range to form a fault tree; if the fault tree only comprises the current distribution area in the distribution network, searching a tie line in the current distribution area to realize fault recovery, if the fault tree is recovered, determining a network reconstruction scheme, otherwise, determining the network reconstruction scheme among the distribution networks; if the fault tree comprises the whole power supply area in the power distribution network or the network reconstruction scheme is not determined in the current power distribution area in the power distribution network, searching a load transfer path between the power distribution networks, if the fault is recovered, determining the network reconstruction scheme, otherwise, searching the load transfer path to the power supply areas of other power distribution networks to form a remote network reconstruction scheme;
after determining the transfer strategy of the current monitoring power grid based on the risk minimization target, the method further comprises the following steps:
carrying out load flow calculation on the transfer strategy, and determining whether the transfer strategy causes overload of key equipment;
if yes, determining that the transfer strategy is not available, otherwise, analyzing N-1 aiming at the transfer strategy, determining whether overload of key equipment is caused after N-1, and if not, outputting the transfer strategy;
if overload occurs, carrying out load flow calculation after adopting a spare power automatic switching exit scheme according to the overload, determining whether overload of key equipment occurs, and if overload does not occur, outputting the transfer strategy;
and if overload occurs, outputting an orderly power utilization scheme.
6. A computer readable storage medium having stored thereon a computer program, which when executed by a processor implements the post-grid-accident risk control aid decision method according to any one of claims 1 to 4.
CN202011410495.7A 2020-12-04 2020-12-04 Auxiliary decision-making method, device and storage medium for risk control after power grid accident Active CN112398129B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202011410495.7A CN112398129B (en) 2020-12-04 2020-12-04 Auxiliary decision-making method, device and storage medium for risk control after power grid accident

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202011410495.7A CN112398129B (en) 2020-12-04 2020-12-04 Auxiliary decision-making method, device and storage medium for risk control after power grid accident

Publications (2)

Publication Number Publication Date
CN112398129A CN112398129A (en) 2021-02-23
CN112398129B true CN112398129B (en) 2023-09-05

Family

ID=74604338

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202011410495.7A Active CN112398129B (en) 2020-12-04 2020-12-04 Auxiliary decision-making method, device and storage medium for risk control after power grid accident

Country Status (1)

Country Link
CN (1) CN112398129B (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113312761B (en) * 2021-05-17 2023-05-30 广东电网有限责任公司广州供电局 Method and system for improving toughness of power distribution network

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102916431A (en) * 2012-09-20 2013-02-06 中国电力科学研究院 Assisted decision making method for load transfer in regional power grid
CN105048449A (en) * 2015-06-05 2015-11-11 国家电网公司 Unified power flow controller (UPFC) control setting method based on trend transfer distribution factor
CN107871202A (en) * 2017-09-14 2018-04-03 国网浙江省电力公司经济技术研究院 A kind of system adequacy evaluation method of meter and multi-voltage grade
CN111401731A (en) * 2020-03-13 2020-07-10 贵州电网有限责任公司 Risk control aid decision-making method and system based on artificial intelligence learning

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102916431A (en) * 2012-09-20 2013-02-06 中国电力科学研究院 Assisted decision making method for load transfer in regional power grid
CN105048449A (en) * 2015-06-05 2015-11-11 国家电网公司 Unified power flow controller (UPFC) control setting method based on trend transfer distribution factor
CN107871202A (en) * 2017-09-14 2018-04-03 国网浙江省电力公司经济技术研究院 A kind of system adequacy evaluation method of meter and multi-voltage grade
CN111401731A (en) * 2020-03-13 2020-07-10 贵州电网有限责任公司 Risk control aid decision-making method and system based on artificial intelligence learning

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
地区电网运行风险评估及控制;丁施尹;《中国优秀硕士论文库》;20130115(第1期);第8页-第54页 *

Also Published As

Publication number Publication date
CN112398129A (en) 2021-02-23

Similar Documents

Publication Publication Date Title
CN103914788B (en) The reliability estimation method of power grid multilink system
CN101908764A (en) Self-healing control method of electric network
CN109787224B (en) Method for generating regional power grid load transfer strategy for preventing cascading overload
JP2008061417A (en) Cooperation system of power system
CN108695846B (en) Unit distribution power grid operation risk assessment method
CN102290798A (en) Quick power supply restoring rule based on distribution network wire connecting way
CN113328437B (en) Intelligent power distribution network CPS topology construction method and fault recovery method
CN109635331B (en) Economic short-circuit current limiter optimal configuration method
CN110350510A (en) A kind of power distribution network service restoration method considering failure disturbance degree
Benasla et al. Power system security enhancement by HVDC links using a closed-loop emergency control
CN105741016B (en) Static reliability probability index obtaining method for medium-term power grid planning
Shojaei et al. Simultaneous placement of tie-lines and distributed generations to optimize distribution system post-outage operations and minimize energy losses
CN112398129B (en) Auxiliary decision-making method, device and storage medium for risk control after power grid accident
CN111865669A (en) Intelligent decision making system and method for power grid fault recovery
Fan et al. Multi-objective optimal configuration of multiple switchgear considering distribution network fault reconfiguration
CN105391030A (en) Planned island division method through load gradual loading and aggregation based on network topology structure
Hosseinzadeh et al. Fast restoration of microgrids using online evaluation metrics considering severe windstorms
Hosseini et al. Improving adaptive protection to reduce sensitivity to uncertainties which affect protection coordination of microgrids
Hua et al. Day-ahead scheduling of power system with short-circuit current constraints considering transmission switching and wind generation
Arshad et al. Multi-agent based distributed voltage regulation scheme with grid-tied inverters in active distribution networks
CN102611085A (en) Intertripping simulation analysis method
Zhong et al. Optimal Sizing and placement method for dynamic voltage restorers with mitigation expectation index
CN111353682B (en) Multi-power-supply power grid reliability assessment method
CN115169138A (en) Analytical method-based power system multi-level resilience assessment method and system
CN111799765B (en) Microgrid distributed system protection method and device

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant