CN114094572A - Active power distribution network fault recovery method and system - Google Patents

Active power distribution network fault recovery method and system Download PDF

Info

Publication number
CN114094572A
CN114094572A CN202111339744.2A CN202111339744A CN114094572A CN 114094572 A CN114094572 A CN 114094572A CN 202111339744 A CN202111339744 A CN 202111339744A CN 114094572 A CN114094572 A CN 114094572A
Authority
CN
China
Prior art keywords
probability
distribution network
disaster
recovery
distribution
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.)
Granted
Application number
CN202111339744.2A
Other languages
Chinese (zh)
Other versions
CN114094572B (en
Inventor
喻建波
田甜
黎涛
刘超
叶樊
廖綦楠
程强
周念成
陶安琪
王强钢
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.)
Chongqing Electric Power Design Institute Co ltd
Chongqing University
State Grid Corp of China SGCC
Original Assignee
Chongqing Electric Power Design Institute Co ltd
Chongqing University
State Grid Corp of China SGCC
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 Chongqing Electric Power Design Institute Co ltd, Chongqing University, State Grid Corp of China SGCC filed Critical Chongqing Electric Power Design Institute Co ltd
Priority to CN202111339744.2A priority Critical patent/CN114094572B/en
Publication of CN114094572A publication Critical patent/CN114094572A/en
Application granted granted Critical
Publication of CN114094572B publication Critical patent/CN114094572B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/001—Methods to deal with contingencies, e.g. abnormalities, faults or failures
    • 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
    • H02J3/26—Arrangements for eliminating or reducing asymmetry in polyphase networks
    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
    • H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
    • Y02E40/50—Arrangements for eliminating or reducing asymmetry in polyphase networks
    • 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
    • Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04S—SYSTEMS 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
    • Y04S10/00—Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
    • Y04S10/52—Outage or fault management, e.g. fault detection or location

Landscapes

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

Abstract

The invention discloses a method and a system for recovering faults of an active power distribution network, wherein the method comprises the step of S1, outputting probability distribution data of the power distribution network affected by disasters according to the current accumulated rainfall of a designated power distribution area and weather prediction information of a future preset time period and by combining historical flood disaster data of the power distribution area; s2, processing the distribution network disaster-affected probability distribution data, removing the equipment or the distribution area with the disaster damage probability larger than the threshold value, and outputting the updated distribution network fault network topology; and S3, after the on-off state of the switch is determined through the updated fault network topology of the power distribution network, the SOP and the MT are controlled to recover the power supply to the load, so that the load recovery amount is maximum, and the voltage unbalance amount is minimum. Disaster probability distribution is obtained through meteorological prediction, equipment which is not in a recovery range is removed, and power supply recovery is achieved by controlling SOP and MT.

Description

Active power distribution network fault recovery method and system
Technical Field
The invention relates to the technical field of power distribution network soft switching and distributed power supply optimization, in particular to a method and a system for active power distribution network fault recovery.
Background
The power distribution network fault can cause power failure accidents and cause economic losses of users and power supply companies, so the power supply recovery capability of the power distribution network is very important to the power supply reliability.
The traditional power distribution network power supply recovery mainly reconstructs a network topology by operating a tie switch and a section switch, so that the power supply recovery of a small part of power failure areas is realized, but the method has low recovery speed and limited recovery capability.
Therefore, a flexible and efficient active power distribution network fault recovery method is needed.
Disclosure of Invention
The invention aims to provide a method and a system for recovering active power distribution network faults, which can realize flexible and efficient active power distribution network fault recovery.
In order to solve the technical problem, an embodiment of the present invention provides a method for recovering a fault of an active power distribution network, including
S1, outputting distribution network disaster-affected probability distribution data according to the current accumulated rainfall of the designated distribution area and weather prediction information of a future preset time period and in combination with historical flood disaster data of the distribution area;
s2, processing the distribution network disaster-affected probability distribution data, removing the equipment or the distribution area with the disaster damage probability larger than the threshold value, and outputting the updated distribution network fault network topology;
and S3, after the on-off state of the switch is determined through the updated fault network topology of the power distribution network, the SOP and the MT are controlled to recover the power supply to the load, so that the load recovery amount is maximum, and the voltage unbalance amount is minimum.
Wherein the S1 includes:
calculating and predicting by adopting a weighted Markov prediction model to obtain weather prediction information of a future preset time period,
calculating the precipitation probability of the weather prediction information by using a fuzzy set algorithm;
and drawing the probability P of precipitation by combining the historical flood disaster data of the power distribution areawIn the precipitation probability PwLower device failure probability PhThe distribution network disaster influence probability distribution diagram;
wherein, P is setfWhen the value is larger than the upper limit value of the threshold value, the equipment which needs to be removed cannot be recovered to avoid influencing the safe operation of the power distribution network, and the total fault probability P of the equipment in the distribution area after the equipment is subjected to flood disasters is calculated through the probability distribution mapfComprises the following steps:
Pf＝Pw×Pw (1)。
wherein the S1 further includes:
and setting a limit value on the threshold value.
Wherein the S2 includes:
randomly generating a distribution network topology structure of a group of probability distribution maps excluding the disaster area, wherein the topology structure meets the constraints (1) - (3) of the radiation type network on the tie switch and the section switch, the constraint (4) of a control model for selecting the SOP and the MT and the constraint (5) representing that at least one VSC in the SOP needs to be connected with a stable power supply:
βij+βji＝aij,i,j∈Ωb
aji＝aij， (1)
βij＝0,j∈ΩSub， (2)
Figure BDA0003352018770000021
Figure BDA0003352018770000022
Figure BDA0003352018770000023
in the formula: a isijIs a binary variable representing the on-off state of branch ij; a isij1 denotes switch closure, aij0 denotes the switch off, βijAnd betajiFor two auxiliary binary variables, betaij1 denotes that node i is the parent node of node j, βij0 indicates that node i is not the parent of node j, ΩbRepresents the set of all nodes, ΩSOPRepresents the set of SOP nodes, ΩSubRepresenting a set of substation nodes, ΩMTRepresents a set of MT nodes;
after the topological structure is determined, calculating the load recovery amount and the voltage unbalance amount:
Figure BDA0003352018770000031
Figure BDA0003352018770000032
in the formula: f. ofP、fURespectively the total weight recovery load and the voltage unbalance; pti, phi and Load are active power recovered by the phase of the node i phi; mu.siA weight coefficient for the node i load, depending on the priority of the node load; eti, phi and fti, phi are the real part and imaginary part of the voltage of the i phi phase of the node at the time t respectively; e-, ti, phi and f-, ti, phi are respectively a real part and an imaginary part of the voltage negative sequence unbalance of the node i at the time t; and T is the predicted power supply recovery state duration.
Wherein the S3 includes:
s31, randomly generating a switch on-off state meeting a probability distribution diagram through the updated distribution network fault network topology, further determining a network topology structure, and calculating the maximum load recovery amount and the voltage unbalance amount;
and S32, controlling the SOP and the MT to recover power supply to the load, changing the control mode of the SOP and the MT to enable the load recovery quantity to be maximum and the voltage unbalance quantity to be minimum, and returning the optimization result to the S31 until the optimal SOP, MT control mode, on-off state of a switch in the network, the maximum load recovery quantity and the minimum voltage unbalance quantity are obtained.
In addition, this application embodiment still provides an active power distribution network fault recovery system, includes:
the disaster probability distribution calculation module is used for outputting distribution network disaster influence probability distribution data according to the current accumulated rainfall of the designated distribution area and weather prediction information of a future preset time period and by combining historical flood disaster data of the distribution area;
the network topology updating module is used for processing the distribution network disaster-affected probability distribution data, removing the equipment or the distribution area with the disaster damage probability larger than the threshold value, and outputting the updated network topology with the power distribution network fault;
and the power recovery module is used for controlling the SOP and the MT to recover power supply to the load after the on-off state of the switch is determined through the updated fault network topology of the power distribution network, so that the load recovery amount is maximum, and the voltage unbalance amount is minimum.
Wherein, the disaster probability distribution calculating module comprises:
the weather prediction unit is used for calculating and predicting to obtain weather prediction information of a future preset time period by adopting a weighted Markov prediction model,
the rainfall probability calculating unit is used for calculating the rainfall probability of the weather prediction information by using a fuzzy set algorithm;
a disaster probability distribution calculation unit for combining the historical flood disaster data of the distribution area to draw the probability P of precipitationwIn the precipitation probability PwLower device failure probability PhThe distribution network disaster influence probability distribution diagram;
wherein, P is setfWhen the value is larger than the upper limit value of the threshold value, the equipment which needs to be removed cannot be recovered to avoid influencing the safe operation of the power distribution network, and the total fault probability P of the equipment in the distribution area after the equipment is subjected to flood disasters is calculated through the probability distribution mapfComprises the following steps:
Pf＝Pw×Pw (1)。
the disaster-tolerant probability distribution calculating device further comprises a threshold upper limit value unit connected with the disaster-tolerant probability distribution calculating unit and used for inputting and setting the threshold upper limit value.
Wherein the power recovery module comprises:
the power supply parameter calculation unit is used for randomly generating a switch on-off state meeting a probability distribution diagram through the updated power distribution network fault topology, further determining a network topology structure, and calculating the maximum load recovery amount and the voltage unbalance amount;
and the power supply recovery control unit is used for controlling the SOP and the MT to recover power supply to the load, changing the control mode of the power supply recovery control unit to enable the load recovery quantity to be maximum and the voltage unbalance quantity to be minimum, and returning the optimization result to the power supply parameter calculation unit until the optimal SOP, MT control mode, on-off state of a switch in the network, the maximum load recovery quantity and the minimum voltage unbalance quantity are obtained, so that the power grid can meet the power demand of the most loads under the disaster condition and ensure the power supply quality of the non-disaster-suffered platform area.
Compared with the prior art, the active power distribution network fault recovery method and system provided by the embodiment of the invention have the following advantages:
according to the active power distribution network fault recovery method and system provided by the embodiment of the invention, the disaster probability distribution is obtained through meteorological prediction, the equipment with the fault is evaluated according to the corresponding rainfall probability distribution, and the equipment which is not in the recovery range is removed, so that stable, continuous and reliable power supply can be realized in the subsequent power recovery, the situations of incapability of recovery or repeated recovery and repeated fault can not occur, the power recovery can be realized in the largest range by controlling the SOP and the MT, the recovery efficiency is high, flexibility and reliability are realized, and the flexible and efficient active power distribution network fault recovery is realized.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
Fig. 1 is a schematic step flow diagram of a specific implementation of a method for recovering a fault of an active power distribution network according to an embodiment of the present invention;
fig. 2 is a flowchart illustrating the step S3 in an embodiment of the method for recovering a fault of an active power distribution network according to the embodiment of the present invention;
fig. 3 is a schematic diagram of a power supply restoration strategy in an embodiment of a failure restoration method for an active power distribution network according to an embodiment of the present invention;
fig. 4 is a structural diagram of an embodiment of an active power distribution network fault recovery system according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1-4, fig. 1 is a schematic flowchart illustrating a process of a method for recovering a fault of an active power distribution network according to an embodiment of the present invention; fig. 2 is a flowchart illustrating the step S3 in an embodiment of the method for recovering a fault of an active power distribution network according to the embodiment of the present invention; fig. 3 is a schematic diagram of a power supply restoration strategy in an embodiment of a failure restoration method for an active power distribution network according to an embodiment of the present invention; fig. 4 is a structural diagram of an embodiment of an active power distribution network fault recovery system according to an embodiment of the present invention.
In a specific embodiment, the active power distribution network fault recovery method comprises the following steps
S1, outputting distribution network disaster-affected probability distribution data according to the current accumulated rainfall of the designated distribution area and weather prediction information of a future preset time period and in combination with historical flood disaster data of the distribution area;
s2, processing the distribution network disaster-affected probability distribution data, removing the equipment or the distribution area with the disaster damage probability larger than the threshold value, and outputting the updated distribution network fault network topology;
and S3, after the on-off state of the switch is determined through the updated fault network topology of the power distribution network, the SOP and the MT are controlled to recover the power supply to the load, so that the load recovery amount is maximum, and the voltage unbalance amount is minimum. By the method, the power grid can meet the power demand of the maximum load under the disaster condition and ensure the power supply quality of the un-disaster transformer area.
Disaster probability distribution is obtained through meteorological prediction, equipment which breaks down is evaluated according to corresponding rainfall probability distribution, and equipment which is not in a recovery range is removed, so that stable, continuous and reliable power supply can be realized in subsequent power recovery, the conditions of incapability of recovery, repeated recovery and repeated failure are avoided, power recovery is realized by controlling SOP and MT, the maximum-range power recovery can be realized, the recovery efficiency is high, flexibility and reliability are realized, and flexible and efficient active power distribution network fault recovery is realized.
In this application, the prediction of the possibility of recovery of the device that may malfunction below the weather prediction and according to the weather prediction is not limited, and in an embodiment, the S1 includes:
calculating and predicting by adopting a weighted Markov prediction model to obtain weather prediction information of a future preset time period,
calculating the precipitation probability of the weather prediction information by using a fuzzy set algorithm;
and drawing the probability P of precipitation by combining the historical flood disaster data of the power distribution areawIn the precipitation probability PwLower device failure probability PhThe distribution network disaster influence probability distribution diagram;
wherein, P is setfWhen the value is larger than the upper limit value of the threshold value, the equipment which needs to be removed cannot be recovered to avoid influencing the safe operation of the power distribution network, and the total fault probability P of the equipment in the distribution area after the equipment is subjected to flood disasters is calculated through the probability distribution mapfComprises the following steps:
Pf＝Pw×Pw (1)。
in one embodiment, when the total number of equipment failures in a certain area exceeds 80%, the area is considered to have no failure recovery possibility, and the area is removed.
The method includes, but is not limited to, calculating and predicting weather prediction information of a future preset time period by using a weighted Markov prediction model, and may also realize prediction of the weather prediction information of the preset time period by using other prediction models, or by using other prediction models, even a combination of multiple prediction models.
And then, drawing the probability P of precipitation by combining the historical flood disaster data of the power distribution areawIn the precipitation probability PwLower device failure probability PhThe distribution network disaster influence probability distribution diagram. According to the common sense, the probability of precipitationPwLower device failure probability PhAfter the fault probability exceeds a certain value range, power supply recovery cannot be performed preferentially under a general condition.
It should be noted that in the present application, the failure probability of the equipment failure is not constant, and the equipment may be updated due to the improvement of technology, so that the reliability and disaster resistance of the equipment are further improved. For example, under the original equipment condition, under the condition of 100mm rainfall, the failure probability is 0.8, which exceeds the preset recovery on-line, but after the equipment is upgraded, the resistance capacity is improved, the failure probability is reduced to 0.7, which is in line with the range of power supply recovery, so that the power supply recovery can be realized.
In order to implement dynamic management and improve power restoration capability, in one embodiment, the S1 further includes:
and setting a limit value on the threshold value.
The staff may supply power to the equipment with higher fault probability according to the condition of the equipment and the change of the power supply capacity of the staff, such as after the power supply capacity is improved, the power supply can be set remotely and automatically, and the power supply management range can be modified after being reported, which is not limited by the application.
In this application, after the weather prediction is implemented, the probability of the equipment failure is predicted, and the equipment capable of recovering power supply is sufficiently powered by turnera according to the difference of power supply capacities, so as to ensure the power supply quality and the power supply recovery effect, where this process is not limited in this application, in an embodiment, the S2 includes:
randomly generating a distribution network topology structure of a group of probability distribution maps excluding the disaster area, wherein the topology structure meets the constraints (1) - (3) of the radiation type network on the tie switch and the section switch, the constraint (4) of a control model for selecting the SOP and the MT and the constraint (5) representing that at least one VSC in the SOP needs to be connected with a stable power supply:
βij+βji＝aij,i,j∈Ωb
aji＝aij (1)，
βij＝0,j∈ΩSub (2)，
Figure BDA0003352018770000081
Figure BDA0003352018770000082
Figure BDA0003352018770000083
in the formula: a isijIs a binary variable representing the on-off state of branch ij; a isij1 denotes switch closure, aij0 denotes the switch off, βijAnd betajiFor two auxiliary binary variables, betaij1 denotes that node i is the parent node of node j, βij0 indicates that node i is not the parent of node j, ΩbRepresents the set of all nodes, ΩSOPRepresents the set of SOP nodes, ΩSubRepresenting a set of substation nodes, ΩMTRepresents a set of MT nodes;
after the topological structure is determined, calculating the load recovery amount and the voltage unbalance amount:
Figure BDA0003352018770000084
Figure BDA0003352018770000091
in the formula: f. ofP、fURespectively the total weight recovery load and the voltage unbalance; pti, phi and Load are active power recovered by the phase of the node i phi; mu.siA weight coefficient for the node i load, depending on the priority of the node load; eti, phi and fti, phi are the real part and imaginary part of the voltage of the i phi phase of the node at the time t respectively; e-, ti, phi and f-, ti, phi are respectively a real part and an imaginary part of the voltage negative sequence unbalance of the node i at the time t; and T is the predicted power supply recovery state duration.
By removing the equipment with the damage probability larger than the threshold value, a new power distribution network topology is realized, so that the subsequent SOP and MT are used for fault recovery of the specified equipment, and the recovery efficiency is improved.
The present application includes, but is not limited to, the above-described network topology updating manner.
In this application, the SOP and the MT are used to implement power restoration on the faulty device, and a restoration method thereof is not limited, and in an embodiment, to implement a restoration range to a greater extent, the S3 includes:
s31, randomly generating a switch on-off state meeting a probability distribution diagram through the updated distribution network fault network topology, further determining a network topology structure, and calculating the maximum load recovery amount and the voltage unbalance amount;
and S32, controlling the SOP and the MT to recover power supply to the load, changing the control mode to enable the load recovery quantity to be maximum and the voltage unbalance quantity to be minimum, and returning the optimization result to the S31 until the optimal SOP, MT control mode, the on-off state of a switch in the network, the maximum load recovery quantity and the minimum voltage unbalance quantity are obtained, so that the power grid can meet the power demand of the most loads under the disaster condition and the power supply quality of the non-disaster-affected transformer area can be ensured.
The power grid can meet the power demand of the maximum load under the disaster condition through continuous iteration, the power supply quality of the un-disaster area is ensured, and the power supply recovery capability is improved to the maximum extent.
The recovery strategy for recovering the power supply of the loads by the three-terminal SOP and MT is illustrated by a simple 12-node power distribution network, which is shown in fig. 3:
assuming that the branches 1-2 and 3-4 are in failure, four possible power supply recovery strategies are provided and used for analyzing the principle of active power distribution network failure recovery based on SOP flexible interconnection. In strategy 1, MT 3 and MT 5 serve as voltage frequency support points, while SOP connects two normal operation regions, and the control strategy adopts VdcQ and PQ control. Strategy 2 is characterized in that sectional switches 9-10 are disconnected on the basis of strategy 1, so that 3 microgrids are formed, Vf control is adopted by VSC 10 to provide voltage support for a power outage area, and VdcQ control is adopted by VSC 7. The reason why the strategy 2 actively turns off the section switches to form the microgrid may be that the microgrid in which the MT 5 is located has an important load and must be supplied with power preferentially. Strategy 3 based on strategy 1, tie switches 8-9 are closed, at which point MT 5 need not provide voltage frequency support, and the blackout area is already connected to the mains power supply. Strategy 4 not only closes tie switches 8-9, but also opens sectionalizers 9-10, MT 5 need not provide voltage frequency support, but VSC 10 must employ Vf control. Through the analysis, the control modes of the SOP and the MT and the states of the switches have important influence on the structure of the power distribution network, and the load power supply recovery can be realized by adjusting the control modes and the switch states.
The algorithm aims to recover the maximum load power supply and maintain the power supply quality of the power distribution network after a flood disaster happens, so that the objective function is that the load recovery quantity is maximum, and the voltage unbalance quantity is minimum, namely:
minf＝-ω1fP+ω2fU (8)
wherein ω 1 and ω 2 are weight coefficients, respectively;
besides the network topology constraints of (1) - (5), the algorithm also needs to meet the power balance constraint of the SOP, the active power, the reactive power, the climbing limit value of the MT, the converter capacity constraint, the node power balance constraint, the three-phase power flow equation constraint, the network safety constraint and the node load constraint.
In addition, this application embodiment still provides an active power distribution network fault recovery system, includes:
the disaster probability distribution calculation module 10 is configured to output power distribution network disaster-affected probability distribution data according to the current accumulated rainfall of the designated power distribution area and weather prediction information in a future preset time period, and in combination with historical flood disaster data of the power distribution area;
a network topology updating module 20, configured to process the distribution network disaster-affected probability distribution data, remove a device or a distribution area with a disaster damage probability greater than a threshold, and output an updated network topology with a power distribution network fault;
the power recovery module 30 is configured to control the SOP and the MT to recover power supply to the load after determining the on-off state of the switch according to the updated fault network topology of the power distribution network, so that the load recovery amount is maximum and the voltage unbalance amount is minimum; by the method, the power grid can meet the power demand of the maximum load under the disaster condition and ensure the power supply quality of the non-disaster transformer area.
Because the active power distribution network fault recovery system is the system corresponding to the active power distribution network fault recovery method, the same beneficial effects are achieved, and the application is not repeated.
The present application does not limit the specific work flow of the disaster probability distribution calculation module, and in one embodiment, in order to improve the work efficiency and also recover the accuracy, the disaster probability distribution calculation module includes:
the weather prediction unit is used for calculating and predicting to obtain weather prediction information of a future preset time period by adopting a weighted Markov prediction model,
the rainfall probability calculating unit is used for calculating the rainfall probability of the weather prediction information by using a fuzzy set algorithm;
a disaster probability distribution calculation unit for combining the historical flood disaster data of the distribution area to draw the probability P of precipitationwIn the precipitation probability PwLower device failure probability PhThe distribution network disaster influence probability distribution diagram;
wherein, P is setfIf the value is larger than the upper limit value of the threshold value, the equipment which needs to be removed cannot be recovered to avoid influencing the safe operation of the power distribution network, and the distribution area is calculated through the probability distribution mapTotal fault probability P of equipment in flood disasterfComprises the following steps:
Pf＝Pw×Pw (1)。
it should be noted that the weather prediction unit may use other prediction models to perform weather prediction, and a worker may add a new model or select a desired model from the advanced prediction models.
In addition, new units, such as a professional table generation unit, an icon production unit and the like, can be added when needed.
Furthermore, in order to realize the change of the network topology caused by the change of the equipment maintenance and upgrading and the situation that the power supply recovery caused by the reduction of the power supply recovery capability caused by the failure of the equipment is reduced when the power supply network upgrading occurs, in one embodiment, the active power distribution network failure recovery system further comprises an upper threshold limit value unit connected with the disaster probability distribution calculation unit and used for inputting and setting the upper threshold limit value.
The setting mode is not limited, the data can be directly input, or the data can be input by corresponding staff or automatically corrected by a system after being uploaded.
The core of this application is to realize circuit restoration, and in order to realize higher management efficiency and restoration capability, in one embodiment, the power restoration module includes:
the power supply parameter calculation unit is used for randomly generating a switch on-off state meeting a probability distribution diagram through the updated power distribution network fault topology, further determining a network topology structure, and calculating the maximum load recovery amount and the voltage unbalance amount;
and the power supply recovery control unit is used for controlling the SOP and the MT to recover power supply to the load, changing the control mode of the power supply recovery control unit to enable the load recovery quantity to be maximum and the voltage unbalance quantity to be minimum, and returning the optimization result to the power supply parameter calculation unit until the optimal SOP, MT control mode, on-off state of a switch in the network, the maximum load recovery quantity and the minimum voltage unbalance quantity are obtained, so that the power grid can meet the power demand of the most loads under the disaster condition and ensure the power supply quality of the non-disaster-suffered platform area.
This summary includes, but is not limited to, the control schemes described above.
In one embodiment of the present application, the calculation flow of the algorithm comprises the following 4 steps,
1) and carrying out meteorological prediction to obtain a distribution network probability distribution map of the disaster, and removing the station areas with high disaster fault probability.
2) And setting initial closing and closing states of the interconnection switch and the section switch of the power distribution network after the fault area is removed, generating an initial topological structure and calculating formulas (6) - (7).
3) The SOP and the MT are controlled to recover power supply to the load, the objective function and the constraint condition are linearized in a convex relaxation or rated voltage introduction mode, and a control mode and an optimal solution which enable the objective function (9) to be minimum are calculated by a cplex commercial solver;
4) according to the SOP and MT control mode obtained at S3, the network topology is updated and S31 and S32 are repeated. And when the target function reaches the global minimum or the iteration times reach the maximum, ending the updating process.
In summary, according to the active power distribution network fault recovery method and system provided by the embodiments of the present invention, the probability distribution of disaster is obtained through meteorological prediction, the devices that have faults are evaluated according to the corresponding probability distribution of rainfall, and the devices that are not in the recovery range are removed, so that stable, continuous, and reliable power supply can be realized in subsequent power recovery, and the situations of failure to recover, or repeated recovery, and repeated faults do not occur.
The method and the system for restoring the active power distribution network fault provided by the invention are described in detail above. The principles and embodiments of the present invention are explained herein using specific examples, which are presented only to assist in understanding the method and its core concepts. It should be noted that, for those skilled in the art, it is possible to make various improvements and modifications to the present invention without departing from the principle of the present invention, and those improvements and modifications also fall within the scope of the claims of the present invention.

Claims (9)

1. A fault recovery method for an active power distribution network is characterized by comprising
S1, outputting distribution network disaster-affected probability distribution data according to the current accumulated rainfall of the designated distribution area and weather prediction information of a future preset time period and in combination with historical flood disaster data of the distribution area;
s2, processing the distribution network disaster-affected probability distribution data, removing the equipment or the distribution area with the disaster damage probability larger than the threshold value, and outputting the updated distribution network fault network topology;
and S3, after the on-off state of the switch is determined through the updated fault network topology of the power distribution network, the SOP and the MT are controlled to recover the power supply to the load, so that the load recovery amount is maximum, and the voltage unbalance amount is minimum.
2. The active power distribution network fault recovery method of claim 1, wherein the S1 comprises:
calculating and predicting by adopting a weighted Markov prediction model to obtain weather prediction information of a future preset time period,
calculating the precipitation probability of the weather prediction information by using a fuzzy set algorithm;
and drawing the probability P of precipitation by combining the historical flood disaster data of the power distribution areawIn the precipitation probability PwLower device failure probability PhThe distribution network disaster influence probability distribution diagram;
wherein, P is setfIf the value is larger than the upper limit value of the threshold value, the equipment which needs to be removed cannot be recovered to avoid influencing the safe operation of the power distribution network, and the intra-area equipment is calculated through the probability distribution mapTotal failure probability P after equipment is subjected to flood disasterfComprises the following steps:
Pf＝Pw×Pw (1)。
3. the active power distribution network fault recovery method of claim 2, wherein the S1 further comprises:
and setting a limit value on the threshold value.
4. The active power distribution network fault recovery method of claim 3, wherein the S2 comprises:
randomly generating a distribution network topology structure of a group of probability distribution maps excluding the disaster area, wherein the topology structure meets the constraints (1) - (3) of the radiation type network on the tie switch and the section switch, the constraint (4) of a control model for selecting the SOP and the MT and the constraint (5) representing that at least one VSC in the SOP needs to be connected with a stable power supply:
Figure FDA0003352018760000021
βij＝0,j∈ΩSub (2)，
Figure 1
Figure 4
Figure 3
in the formula: a isijIs a binary variable representing the on-off state of branch ij; a isij1 denotes switch closure, aij0 denotes the switch off, βijAnd betajiFor two auxiliary binary variables, betaij1 representsNode i is the parent of node j, βij0 indicates that node i is not the parent of node j, ΩbRepresents the set of all nodes, ΩSOPRepresents the set of SOP nodes, ΩSubRepresenting a set of substation nodes, ΩMTRepresents a set of MT nodes;
after the topological structure is determined, calculating the load recovery amount and the voltage unbalance amount:
Figure 2
Figure FDA0003352018760000026
in the formula: f. ofP、fURespectively the total weight recovery load and the voltage unbalance; pt i, phi and Load are active power recovered by the phase phi of the node i; mu.siA weight coefficient for the node i load, depending on the priority of the node load; et i, phi and ft i, phi are the real part and the imaginary part of the voltage of the i phi phase of the node at the moment t respectively; e-, ti, phi and f-, ti, phi are respectively a real part and an imaginary part of the voltage negative sequence unbalance of the node i at the time t; and T is the predicted power supply recovery state duration.
5. The active power distribution network fault recovery method of claim 4, wherein the S3 comprises:
s31, randomly generating a switch on-off state meeting a probability distribution diagram through the updated distribution network fault network topology, further determining a network topology structure, and calculating the maximum load recovery amount and the voltage unbalance amount;
and S32, controlling the SOP and the MT to recover power supply to the load, changing the control mode of the SOP and the MT to enable the load recovery quantity to be maximum and the voltage unbalance quantity to be minimum, and returning the optimization result to the S31 until the optimal SOP, MT control mode, on-off state of a switch in the network, the maximum load recovery quantity and the minimum voltage unbalance quantity are obtained.
6. The utility model provides an initiative distribution network fault recovery system based on soft switch under flood disaster which characterized in that includes:
the disaster probability distribution calculation module is used for outputting distribution network disaster influence probability distribution data according to the current accumulated rainfall of the designated distribution area and weather prediction information of a future preset time period and by combining historical flood disaster data of the distribution area;
the network topology updating module is used for processing the distribution network disaster-affected probability distribution data, removing the equipment or the distribution area with the disaster damage probability larger than the threshold value, and outputting the updated network topology with the power distribution network fault;
and the power recovery module is used for controlling the SOP and the MT to recover power supply to the load after the on-off state of the switch is determined through the updated fault network topology of the power distribution network, so that the load recovery amount is maximum, and the voltage unbalance amount is minimum.
7. The active power distribution network fault recovery method of claim 6, wherein the disaster probability distribution calculation module comprises:
the weather prediction unit is used for calculating and predicting to obtain weather prediction information of a future preset time period by adopting a weighted Markov prediction model,
the rainfall probability calculating unit is used for calculating the rainfall probability of the weather prediction information by using a fuzzy set algorithm;
a disaster probability distribution calculation unit for combining the historical flood disaster data of the distribution area to draw the probability P of precipitationwIn the precipitation probability PwLower device failure probability PhThe distribution network disaster influence probability distribution diagram;
wherein, P is setfWhen the value is larger than the upper limit value of the threshold value, the equipment which needs to be removed cannot be recovered to avoid influencing the safe operation of the power distribution network, and the total fault probability P of the equipment in the distribution area after the equipment is subjected to flood disasters is calculated through the probability distribution mapfComprises the following steps:
Pf＝Pw×Pw (1)。
8. the active power distribution network fault recovery method according to claim 7, further comprising an upper threshold limit value unit connected to the disaster probability distribution calculation unit, and configured to input and set the upper threshold limit value.
9. The active power distribution network fault recovery method of claim 8, wherein the power recovery module comprises:
the power supply parameter calculation unit is used for randomly generating a switch on-off state meeting a probability distribution diagram through the updated power distribution network fault topology, further determining a network topology structure, and calculating the maximum load recovery amount and the voltage unbalance amount;
and the power supply recovery control unit is used for controlling the SOP and the MT to recover power supply to the load, changing the control mode of the power supply recovery control unit to enable the load recovery quantity to be maximum and the voltage unbalance quantity to be minimum, and returning the optimization result to the power supply parameter calculation unit until the optimal SOP, MT control mode, on-off state of a switch in the network, the maximum load recovery quantity and the minimum voltage unbalance quantity are obtained.
CN202111339744.2A 2021-11-12 2021-11-12 Active power distribution network fault recovery method and system Active CN114094572B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202111339744.2A CN114094572B (en) 2021-11-12 2021-11-12 Active power distribution network fault recovery method and system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111339744.2A CN114094572B (en) 2021-11-12 2021-11-12 Active power distribution network fault recovery method and system

Publications (2)

Publication Number Publication Date
CN114094572A true CN114094572A (en) 2022-02-25
CN114094572B CN114094572B (en) 2024-05-10

Family

ID=80300268

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202111339744.2A Active CN114094572B (en) 2021-11-12 2021-11-12 Active power distribution network fault recovery method and system

Country Status (1)

Country Link
CN (1) CN114094572B (en)

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110729770A (en) * 2019-10-24 2020-01-24 北京交通大学 Active power distribution network load fault recovery strategy optimization algorithm
CN111539566A (en) * 2020-04-21 2020-08-14 燕山大学 Power distribution network multi-fault first-aid repair recovery method and system considering pre-scheduling before disaster
CN112271727A (en) * 2020-10-15 2021-01-26 北京交通大学 Fault recovery method for flexible power distribution network containing flexible soft switch

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110729770A (en) * 2019-10-24 2020-01-24 北京交通大学 Active power distribution network load fault recovery strategy optimization algorithm
CN111539566A (en) * 2020-04-21 2020-08-14 燕山大学 Power distribution network multi-fault first-aid repair recovery method and system considering pre-scheduling before disaster
CN112271727A (en) * 2020-10-15 2021-01-26 北京交通大学 Fault recovery method for flexible power distribution network containing flexible soft switch

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
H. ZHU ET AL.: "The research on fault restoration and refactoring for Active Distribution Network", 2019 CHINESE AUTOMATION CONGRESS (CAC), HANGZHOU *
吴疆等: "灾害全过程配电网弹性评估方法及提升策略", 电 力 系 统 及 其 自 动 化 学 报 *
张林?;雷勇;施鹏佳;王孝慈;朱嘉麒;董树锋;: "基于路径描述的配网灾后供电恢复策略", 电测与仪表, no. 15 *
柯梓阳;汪隆君;王钢;: "主动配电网灾害恢复模型", 中国科技论文, no. 11 *

Also Published As

Publication number Publication date
CN114094572B (en) 2024-05-10

Similar Documents

Publication Publication Date Title
Hamidieh et al. Microgrids and resilience: A review
JP2022500998A (en) Systems, methods, and computer program products that make up the microgrid
CN109861283A (en) Two-stage type power distribution network emergency island division method
CN117134353B (en) Virtual area dynamic switching-based power distribution network fault recovery method and system
CN113328437B (en) Intelligent power distribution network CPS topology construction method and fault recovery method
CN113346484B (en) Power distribution network elastic lifting method and system considering transient uncertainty
Liao et al. Load-switching strategy for voltage balancing of bipolar DC distribution networks based on optimal automatic commutation algorithm
CN107147146A (en) A kind of distributed energy management solutions optimization method and device based on many microgrids of joint
CN108631278B (en) The Optimal Configuration Method of breaker and fault current limiter in a kind of looped network formula direct-current micro-grid
CN108092267B (en) Method for power distribution network access planning system based on intelligent agent
CN116014790A (en) Elasticity evaluation method for power distribution network containing distributed energy sources
Poudel et al. Resilient restoration of power distribution system based on minimum spanning forest
CN111555266A (en) Comprehensive planning method for distribution network automation system based on reliability constraint
CN114094572B (en) Active power distribution network fault recovery method and system
Wang et al. Early warning of distribution transformer based on bp neural network considering the influence of extreme weather
Abdullah et al. Thyristor controlled series compensator planning using evolutionary programming for transmission loss minimization for system under contingencies
CN113659540B (en) Power distribution network setting calculation method considering distributed power supply and storage medium
CN111106622B (en) Active power distribution network power supply recovery method based on RMPC
CN114784796A (en) Multi-stage recovery method for flexible interconnected power distribution system based on multi-terminal SOP
Provoost et al. Self controlling autonomous operating power networks
CN114069689A (en) Three-stage topology operation optimization method based on load importance
CN112398129A (en) Power grid post-accident risk control aid decision-making method and device and storage medium
CN116845888B (en) Active power distribution network fault recovery method and system based on dynamic island division
Saaklayen et al. Service restoration through coordinated operation of soft open points and distributed generation units in distribution networks
CN113991732B (en) Double-target voltage control method and device for distributed power distribution network

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