CN114094572B - Active power distribution network fault recovery method and system - Google Patents
Active power distribution network fault recovery method and system Download PDFInfo
- Publication number
- CN114094572B CN114094572B CN202111339744.2A CN202111339744A CN114094572B CN 114094572 B CN114094572 B CN 114094572B CN 202111339744 A CN202111339744 A CN 202111339744A CN 114094572 B CN114094572 B CN 114094572B
- Authority
- CN
- China
- Prior art keywords
- disaster
- probability
- distribution network
- load
- recovery
- 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
Links
- 238000009826 distribution Methods 0.000 title claims abstract description 180
- 238000011084 recovery Methods 0.000 title claims abstract description 96
- 238000000034 method Methods 0.000 title claims abstract description 31
- 238000012545 processing Methods 0.000 claims abstract description 6
- 238000001556 precipitation Methods 0.000 claims description 24
- 238000004364 calculation method Methods 0.000 claims description 22
- 238000010586 diagram Methods 0.000 claims description 12
- 238000005457 optimization Methods 0.000 claims description 7
- 230000005855 radiation Effects 0.000 claims description 3
- 238000010561 standard procedure Methods 0.000 description 32
- 230000006978 adaptation Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000009194 climbing Effects 0.000 description 1
- 238000011217 control strategy Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
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 following steps of S1, outputting distribution network disaster affected probability distribution data according to the current accumulated rainfall of a designated distribution area and weather forecast information of a preset period in the future by combining with historical flood disaster data of the distribution area; s2, processing the distribution network disaster influence probability distribution data, and outputting updated distribution network fault network topology after removing equipment or areas with disaster damage probability larger than a threshold value; s3, after the on-off state of the switch is determined through the updated fault network topology of the power distribution network, controlling the SOP and the MT to restore power to the load, so that the load restoration amount is maximum, and the voltage unbalance amount is minimum. And obtaining disaster probability distribution through weather prediction, removing equipment which is not in a recovery range, and realizing power supply recovery through controlling SOP and MT.
Description
Technical Field
The invention relates to the technical field of soft switching of a power distribution network and distributed power supply optimization, in particular to a method and a system for recovering faults of an active power distribution network.
Background
The power distribution network fault can cause power failure accidents and cause economic losses of users and power supply companies, so that the power supply recovery capability of the power distribution network is crucial to the power supply reliability.
The traditional power distribution network power restoration mainly reconstructs network topology by operating the interconnection switch and the sectionalizing switch to restore power supply to a small part of power failure area, but the method has low restoration speed and limited restoration capacity.
Therefore, a flexible and efficient method for active power distribution network fault recovery is highly desirable.
Disclosure of Invention
The invention aims to provide a method and a system for recovering faults of an active power distribution network, which realize flexible and efficient fault recovery of the active power distribution network.
In order to solve the above technical problems, an embodiment of the present invention provides a method for recovering an active power distribution network fault, including
S1, outputting disaster affected probability distribution data of a power distribution network according to current accumulated rainfall of a designated power distribution area and weather forecast information of a future preset period and by combining historical flood disaster data of the power distribution area;
s2, processing the distribution network disaster influence probability distribution data, and outputting updated distribution network fault network topology after removing equipment or a platform area with disaster damage probability larger than a threshold value;
and S3, after the on-off state of the switch is determined through the updated fault network topology of the power distribution network, controlling the SOP and the MT to restore the power supply to the load, so that the load restoration amount is maximum and the voltage unbalance amount is minimum.
Wherein, the S1 comprises:
Calculating and predicting weather prediction information of a future preset period by adopting a weighted Markov prediction model,
Calculating precipitation probability of the weather forecast information by using a fuzzy set algorithm;
Drawing a distribution network disaster affected probability distribution map comprising precipitation probability P w and equipment failure probability P h under the precipitation probability P w by combining historical flood disaster data of the distribution area;
When the P f is larger than the upper limit value of the threshold, the fault equipment cannot be recovered to be removed so as not to influence the safe operation of the power distribution network, and the total fault probability P f of the equipment in the area after flood disaster is calculated through the probability distribution map is as follows:
Pf＝Pw×Pw (1)。
Wherein, the S1 further comprises:
setting the upper limit value of the threshold.
Wherein, the S2 includes:
Randomly generating a group of distribution network topologies of the disaster-stricken station areas, wherein the distribution network topologies are used for removing constraint (1) - (3) of a radiation type network on a tie switch and a sectionalizing switch, constraint (4) for selecting control models of SOP and MT and constraint (5) for representing that at least one VSC in the SOP needs to be connected with a stable power supply, and the constraint (1) - (3) comprises the following steps:
βij+βji＝aij,i,j∈Ωb
aji＝aij， (1)
βij＝0,j∈ΩSub， (2)
wherein: a ij is a binary variable representing the switching state of the branch ij; a ij =1 denotes switch on, a ij =0 denotes switch off, β ij and β ji are two auxiliary binary variables, β ij =1 denotes that node i is a parent node of node j, β ij =0 denotes that node i is not a parent node of node j, Ω b denotes a set of all nodes, Ω SOP denotes a set of SOP nodes, Ω Sub denotes a set of substation nodes, Ω MT denotes a set of MT nodes;
after the topological structure is determined, calculating the load recovery amount and the voltage unbalance amount:
Wherein: f P、fU is the total weight recovery load and the voltage unbalance amount respectively; pt i, phi and Load are active power recovered by the node i phi; mu i is the weight coefficient of the node i load and depends on the priority of the node load; and/> The real part and the imaginary part of the voltage negative sequence unbalance of the node i at the moment t are respectively; t is the expected power restoration state duration.
Wherein, the S3 includes:
s31, randomly generating a switch on-off state meeting a probability distribution diagram through the updated power distribution network fault network topology, further determining a network topology structure, and calculating the maximum load recovery amount and the voltage unbalance amount;
S32, controlling the SOP and the MT to restore the power supply to the load, changing the control mode to enable the load restoration amount to be maximum and the voltage unbalance amount to be minimum, and returning the optimization result to the S31 until the optimal SOP and MT control mode, the on-off state of a switch in the network, the maximum load restoration amount and the minimum voltage unbalance amount are obtained.
In addition, the embodiment of the application also provides an active power distribution network fault recovery system, which comprises:
The disaster probability distribution calculation module is used for outputting disaster influence probability distribution data of the power distribution network according to the current accumulated rainfall of the designated power distribution area and weather forecast information of a future preset period and by combining historical flood disaster data of the power distribution area;
the network topology updating module is used for processing the distribution network disaster influence probability distribution data, and outputting updated distribution network fault network topology after removing equipment or a platform area with disaster damage probability larger than a threshold value;
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 power distribution network fault network topology, so that the load recovery amount is maximum and the voltage unbalance amount is minimum.
Wherein, the disaster probability distribution calculation module comprises:
A weather prediction unit for calculating and predicting weather prediction information of a future preset period by adopting a weighted Markov prediction model,
The precipitation probability calculation unit is used for calculating the precipitation probability of the weather forecast information by using a fuzzy set algorithm;
The disaster probability distribution calculation unit is used for drawing a distribution network disaster influence probability distribution map comprising precipitation probability P w and equipment failure probability P h under the precipitation probability P w by combining the historical flood disaster data of the distribution transformer area;
When the P f is larger than the upper limit value of the threshold, the fault equipment cannot be recovered to be removed so as not to influence the safe operation of the power distribution network, and the total fault probability P f of the equipment in the area after flood disaster is calculated through the probability distribution map is as follows:
Pf＝Pw×Pw(1)。
The disaster probability distribution calculation unit is used for calculating the disaster probability distribution of the disaster to be detected, wherein the disaster probability distribution calculation unit is connected with the disaster probability distribution calculation unit and used for calculating the disaster probability distribution of the disaster to be detected.
Wherein the power recovery 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 network topology, further determining a network topology structure and calculating the maximum load recovery amount and the voltage unbalance amount;
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 to enable the load recovery amount to be maximum and the voltage unbalance amount to be minimum, and returning the optimization result to the power supply parameter calculation unit until the optimal SOP and MT control mode, the on-off state of a switch in a network, the maximum load recovery amount and the minimum voltage unbalance amount are obtained, so that the power grid can meet the power consumption requirement of the maximum load under the disaster condition and the power supply quality of the disaster-free station area is ensured.
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 method and the system for recovering the faults of the active power distribution network, the disaster probability distribution is obtained through weather prediction, equipment which is out of the recovery range is removed by evaluating the equipment which is out of the failure according to the corresponding rainfall probability distribution, so that stable, continuous and reliable power supply can be realized in the subsequent power recovery, the condition that the power cannot be recovered or the power is recovered repeatedly and the power is recovered repeatedly is avoided, the power recovery in the maximum range can be realized by controlling the SOP and the MT, the recovery efficiency is high, the flexibility and the 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 that are required in the embodiments or the description of the prior art will be briefly described, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic step flow diagram of a specific implementation manner of an active power distribution network fault recovery method according to an embodiment of the present invention;
Fig. 2 is a schematic flowchart of step S3 in one embodiment of a method for recovering an active power distribution network fault according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of a power recovery strategy in an embodiment of an active power distribution network fault recovery method according to an embodiment of the present invention;
Fig. 4 is a structural view of an active power distribution network fault recovery system according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1 to 4, fig. 1 is a schematic step flow diagram of a specific implementation of an active power distribution network fault recovery method according to an embodiment of the present invention; fig. 2 is a schematic flowchart of step S3 in one embodiment of a method for recovering an active power distribution network fault according to an embodiment of the present invention; FIG. 3 is a schematic diagram of a power recovery strategy in an embodiment of an active power distribution network fault recovery method according to an embodiment of the present invention; fig. 4 is a structural view of an active power distribution network fault recovery system according to an embodiment of the present invention.
In one specific embodiment, the active power distribution network fault recovery method comprises the following steps of
S1, outputting disaster affected probability distribution data of a power distribution network according to current accumulated rainfall of a designated power distribution area and weather forecast information of a future preset period and by combining historical flood disaster data of the power distribution area;
s2, processing the distribution network disaster influence probability distribution data, and outputting updated distribution network fault network topology after removing equipment or a platform area with disaster damage probability larger than a threshold value;
And S3, after the on-off state of the switch is determined through the updated fault network topology of the power distribution network, controlling the SOP and the MT to restore the power supply to the load, so that the load restoration amount is maximum and the voltage unbalance amount is minimum. By the method, the power grid can meet the power consumption requirement of the maximum load under the disaster condition, and the power supply quality of the disaster-free station area is ensured.
The disaster probability distribution is obtained through weather prediction, equipment which is out of the recovery range is removed by evaluating the equipment which is out of the failure according to the corresponding rainfall probability distribution, so that stable, continuous and reliable power supply can be realized in the subsequent power recovery, the condition that the equipment cannot recover or recover repeatedly and fail repeatedly is avoided, the power recovery in the maximum range can be realized by controlling the SOP and the MT, the recovery efficiency is high, the flexibility and the reliability are realized, and the flexible and efficient active power distribution network failure recovery is realized.
In the present application, the prediction of the possibility of recovery of the device that may fail according to the weather prediction is not limited, and in one embodiment, the step S1 includes:
Calculating and predicting weather prediction information of a future preset period by adopting a weighted Markov prediction model,
Calculating precipitation probability of the weather forecast information by using a fuzzy set algorithm;
Drawing a distribution network disaster affected probability distribution map comprising precipitation probability P w and equipment failure probability P h under the precipitation probability P w by combining historical flood disaster data of the distribution area;
When the P f is larger than the upper limit value of the threshold, the fault equipment cannot be recovered to be removed so as not to influence the safe operation of the power distribution network, and the total fault probability P f of the equipment in the area after flood disaster is calculated through the probability distribution map is as follows:
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 comprises, but is not limited to, calculating and predicting weather prediction information of a preset time period in the future by using a weighted Markov prediction model, and can also realize the prediction of the weather prediction information of the preset time period by using other prediction models or even a combination of multiple prediction models.
And then, drawing a distribution network disaster affected probability distribution map comprising precipitation probability P w and equipment failure probability P h under the precipitation probability P w by combining the historical flood disaster data of the distribution area. According to the general knowledge, under the precipitation probability P w, the equipment failure probability P h may not realize failure recovery after a threshold value is larger than Yu Yu, or may soon fail again after recovery, so that on the one hand, damage to the power equipment is larger, on the other hand, power supply is unstable, and the quality of the power supply actually obtained by the user is extremely poor, so that in general, the failure probability exceeds a certain value range and then power supply recovery is not performed preferentially.
It should be noted that the failure probability of the device failure is not constant in the present application, and the device may be updated due to the progress of technology, so that the reliability of the device and the disaster resistance of the device are further improved. For example, under the original equipment condition, under the condition of 100mm rainfall, the fault probability is 0.8, and exceeds the preset recovery online, but after equipment upgrading occurs, the resistance is improved, the fault probability is reduced to 0.7, and the range of power supply recovery is met, so that the power supply recovery can be realized.
To achieve dynamic management, the power restoration capability is improved, and in one embodiment, the S1 further includes:
setting the upper limit value of the threshold.
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, for example, after the power supply capacity is improved, the equipment may be remotely and automatically set, and the equipment may be modified after the power supply management range is reported, which is not limited in the application.
In the application, after weather prediction is realized, the probability of equipment failure is predicted, the equipment for realizing power supply recovery is supplied with power according to different power supply capacities, the power supply quality and the power supply recovery effect are ensured, the application does not limit the process, and in one embodiment, the S2 comprises:
Randomly generating a group of distribution network topologies of the disaster-stricken station areas, wherein the distribution network topologies are used for removing constraint (1) - (3) of a radiation type network on a tie switch and a sectionalizing switch, constraint (4) for selecting control models of SOP and MT and constraint (5) for representing that at least one VSC in the SOP needs to be connected with a stable power supply, and the constraint (1) - (3) comprises the following steps:
βij+βji＝aij,i,j∈Ωb
aji＝aij (1)，
βij＝0,j∈ΩSub (2)，
wherein: a ij is a binary variable representing the switching state of the branch ij; a ij =1 denotes switch on, a ij =0 denotes switch off, β ij and β ji are two auxiliary binary variables, β ij =1 denotes that node i is a parent node of node j, β ij =0 denotes that node i is not a parent node of node j, Ω b denotes a set of all nodes, Ω SOP denotes a set of SOP nodes, Ω Sub denotes a set of substation nodes, Ω MT denotes a set of MT nodes;
after the topological structure is determined, calculating the load recovery amount and the voltage unbalance amount:
Wherein: f P、fU is the total weight recovery load and the voltage unbalance amount respectively; pt i, phi and Load are active power recovered by the node i phi; mu i is the weight coefficient of the node i load and depends on the priority of the node load; and/> The real part and the imaginary part of the voltage negative sequence unbalance of the node i at the moment t are respectively; t is the expected power restoration state duration.
And removing the equipment with the damage probability larger than the threshold value, so that a new power distribution network topology is realized, the designated equipment is subjected to fault recovery by using SOP and MT later, and the recovery efficiency is improved.
The present application includes, but is not limited to, the network topology upgrade approach described above.
In the present application, the SOP and MT are used to implement power restoration of the faulty device, and the restoration mode is not limited, in one embodiment, in order to implement the 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 power distribution network fault network topology, further determining a network topology structure, and calculating the maximum load recovery amount and the voltage unbalance amount;
S32, controlling the SOP and the MT to restore the power supply to the load, changing the control mode to enable the load restoration amount to be maximum and the voltage unbalance amount to be minimum, and returning the optimization result to the S31 until the optimal SOP and MT control mode, the on-off state of a switch in the network, the maximum load restoration amount and the minimum voltage unbalance amount are obtained, and by the mode, the power consumption requirement of the maximum load can be met under the disaster condition of the power grid, and the power supply quality of a disaster-free platform area is ensured.
The power consumption requirement of the power grid with the maximum load is met under the disaster condition through continuous iteration, the power supply quality of the disaster-free areas is ensured, and the power supply recovery capability is improved to the maximum extent.
A 12-node simple power distribution network is used for explaining a recovery strategy of recovering power supply of loads by three-terminal SOPs and MTs, and the recovery strategy is shown in fig. 3:
Assuming that branches 1-2 and 3-4 fail, four possible power restoration strategies are presented to analyze the principles of active power distribution network failure restoration based on SOP flexible interconnections. In strategy 1, MT 3 and MT 5 are voltage frequency support points, while SOP connects two normal operating regions, and its control strategy is controlled with VdcQ and PQ. Strategy 2 turns off the sectionalizers 9-10 on the basis of strategy 1, thereby forming 3 micro-nets, with VSC 10 having to use Vf control to provide voltage support for the outage region and VSC 7 using VdcQ control. Policy 2 will actively turn off the sectionalizer to form a micro-grid, which may be an important load in the micro-grid where MT 5 is located, and must be powered preferentially. Strategy 3 based on strategy 1, tie switches 8-9 are closed, at which time MT 5 does not need to provide voltage frequency support, and the outage area is already connected to the mains. Not only is the tie switch 8-9 closed in strategy 4, but the segment switch 9-10 is opened, the mt 5 does not need to provide voltage frequency support, but the VSC 10 must employ Vf control. Through the analysis, the control modes of SOP and MT and the state of the switch 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 state of the switch.
The algorithm aims to recover the most load power supply and maintain the power supply quality of the power distribution network after flood disasters, so that the objective function is that the load recovery amount is the largest and the voltage unbalance amount is the smallest, namely:
min f＝-ω1fP+ω2fU (8)
Wherein ω1 and ω2 are weight coefficients respectively;
Besides the network topology constraints of (1) - (5), the algorithm also needs to meet the power balance constraint of SOP, the active power, reactive power, climbing limit value, converter capacity constraint, node power balance constraint, three-phase power flow equation constraint, network security constraint and node load constraint of MT.
In addition, the embodiment of the application also provides an active power distribution network fault recovery system, which comprises:
The disaster probability distribution calculation module 10 is used for outputting disaster influence probability distribution data of the power distribution network according to the current accumulated rainfall of a designated power distribution area and weather forecast information of a future preset period and combining historical flood disaster data of the power distribution area;
The network topology updating module 20 is configured to process the distribution network disaster affected probability distribution data, and output an updated distribution network fault network topology after removing devices or areas with disaster affected damage probability greater than a threshold;
the power recovery module 30 is configured to control the SOP and the MT to recover power to the load after determining the on-off state of the switch according to the updated power distribution network fault network topology, so that the load recovery amount is maximum and the voltage unbalance amount is minimum; by the method, the power grid meets the power consumption requirement of the maximum load under the disaster condition and ensures the power supply quality of the disaster-free areas.
Because the active power distribution network fault recovery system is the system corresponding to the active power distribution network fault recovery method, the active power distribution network fault recovery system has the same beneficial effects, and the application is not repeated.
The application is not limited to a specific workflow of the disaster probability distribution computing module, and in one embodiment, in order to improve the working efficiency and restore the accuracy, the disaster probability distribution computing module includes:
A weather prediction unit for calculating and predicting weather prediction information of a future preset period by adopting a weighted Markov prediction model,
The precipitation probability calculation unit is used for calculating the precipitation probability of the weather forecast information by using a fuzzy set algorithm;
The disaster probability distribution calculation unit is used for drawing a distribution network disaster influence probability distribution map comprising precipitation probability P w and equipment failure probability P h under the precipitation probability P w by combining the historical flood disaster data of the distribution transformer area;
When the P f is larger than the upper limit value of the threshold, the fault equipment cannot be recovered to be removed so as not to influence the safe operation of the power distribution network, and the total fault probability P f of the equipment in the area after flood disaster is calculated through the probability distribution map is as follows:
Pf＝Pw×Pw(1)。
It should be noted that the weather prediction unit may use other prediction models to perform weather prediction, and the staff may add a new model or select a desired model from the pre-prediction models.
In addition, new units such as a professional form generation unit, an icon production unit, and the like may be added as needed.
Furthermore, in order to realize that the probability of the failure of the device changes due to the change of the network topology generated after the maintenance and the upgrade of the device and the power restoration of the device with higher failure occurrence rate can be realized when the upgrade of the power supply network occurs, or the power restoration of the device with higher failure occurrence rate is reduced due to the failure of the device, in one embodiment, the active power distribution network failure restoration system further comprises a threshold upper limit value unit connected with the disaster probability distribution calculation unit, and the threshold upper limit value unit is used for carrying out input setting on the threshold upper limit value.
The application does not limit the setting mode, and the data can be directly input, or can be input by corresponding staff or automatically corrected by a system after being uploaded.
The core of the present application is to implement circuit recovery, in order to implement higher management efficiency and recovery capability, in one embodiment, the power recovery 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 network topology, further determining a network topology structure and calculating the maximum load recovery amount and the voltage unbalance amount;
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 to enable the load recovery amount to be maximum and the voltage unbalance amount to be minimum, and returning the optimization result to the power supply parameter calculation unit until the optimal SOP and MT control mode, the on-off state of a switch in a network, the maximum load recovery amount and the minimum voltage unbalance amount are obtained, so that the power grid can meet the power consumption requirement of the maximum load under the disaster condition and the power supply quality of the disaster-free station area is ensured.
The summary of the application includes, but is not limited to, the control scheme described above.
In one embodiment of the application, the computational flow of the algorithm comprises the following 4 steps,
1) And weather prediction is carried out, a disaster-stricken distribution network probability distribution diagram is obtained, and a station area with high disaster-stricken fault probability is removed.
2) And setting initial closing and closing states of the interconnection switch and the sectionalizing switch of the power distribution network after the fault area is removed, generating an initial topological structure and calculating formulas (6) - (7).
3) Controlling SOP and MT to restore power supply to the load, linearizing the objective function and constraint conditions by means of convex relaxation or introducing rated voltage, and calculating a control mode and an optimal solution for enabling the objective function (9) to be minimum by using cplex business solver;
4) And updating the network topology structure according to the SOP and MT control modes obtained in the step S3, and repeating the step S31 and the step S32. And ending the updating process after the objective function reaches the global minimum or the iteration number reaches the maximum.
In summary, the method and the system for recovering the failure of the active power distribution network provided by the embodiments of the present invention obtain the disaster probability distribution through weather prediction, evaluate the failed device according to the corresponding rainfall probability distribution, remove the devices not in the recovery range, so that in the subsequent power recovery, stable, continuous and reliable power supply can be realized, the situations that the failure of recovery or repeated recovery and repeated failure can not occur, and the power recovery can be realized by controlling the SOP and the MT, so that the maximum range of power recovery can be realized, the recovery efficiency is high, the flexibility and reliability are realized, and the flexible and efficient active power distribution network failure recovery is realized.
The method and the system for recovering the faults of the active power distribution network provided by the invention are described in detail. The principles and embodiments of the present invention have been described herein with reference to specific examples, the description of which is intended only to facilitate an understanding of the method of the present invention and its core ideas. It should be noted that it will be apparent to those skilled in the art that various modifications and adaptations of the invention can be made without departing from the principles of the invention and these modifications and adaptations are intended to be within the scope of the invention as defined in the following claims.
Claims (5)
1. The active power distribution network fault recovery method is characterized by comprising the following steps of
S1, outputting disaster affected probability distribution data of a power distribution network according to current accumulated rainfall of a designated power distribution area and weather forecast information of a future preset period and by combining historical flood disaster data of the power distribution area;
s2, processing the distribution network disaster influence probability distribution data, and outputting updated distribution network fault network topology after removing equipment or a platform area with disaster damage probability larger than a threshold value;
S3, after the on-off state of the switch is determined through the updated fault network topology of the power distribution network, controlling SOP and MT to restore power to the load, so that the load restoration amount is maximum and the voltage unbalance amount is minimum;
the S1 comprises the following steps:
Calculating and predicting weather prediction information of a future preset period by adopting a weighted Markov prediction model,
Calculating precipitation probability of the weather forecast information by using a fuzzy set algorithm;
Drawing a distribution network disaster affected probability distribution map comprising precipitation probability P w and equipment failure probability P h under the precipitation probability P w by combining historical flood disaster data of a distribution area;
When the P f is larger than the upper limit value of the threshold, the fault equipment cannot be recovered to be removed so as not to influence the safe operation of the power distribution network, and the total fault probability P f of the equipment in the area after flood disaster is calculated through the probability distribution map is as follows:
Pf＝Pw×Pw；
The step S2 comprises the following steps:
Randomly generating a group of distribution network topologies of the disaster-stricken station areas, wherein the distribution network topologies are used for removing constraint (1) - (3) of a radiation type network on a tie switch and a sectionalizing switch, constraint (4) for selecting control models of SOP and MT and constraint (5) for representing that at least one VSC in the SOP needs to be connected with a stable power supply, and the constraint (1) - (3) comprises the following steps:
βij+βji＝aij,i,j∈Ωb
aji＝aij (1)，
βij＝0,j∈ΩSub (2)，
wherein: a ij is a binary variable representing the switching state of the branch ij; a ij =1 denotes switch on, a ij =0 denotes switch off, β ij and β ji are two auxiliary binary variables, β ij =1 denotes that node i is a parent node of node j, β ij =0 denotes that node i is not a parent node of node j, Ω b denotes a set of all nodes, Ω SOP denotes a set of SOP nodes, Ω Sub denotes a set of substation nodes, Ω MT denotes a set of MT nodes;
after the topological structure is determined, calculating the load recovery amount and the voltage unbalance amount:
Wherein: f P、fU is the total weight recovery load and the voltage unbalance amount respectively; Active power recovered for node iφ phase; mu i is the weight coefficient of the node i load and depends on the priority of the node load; /(I) And/>The real part and the imaginary part of the voltage negative sequence unbalance of the node i at the moment t are respectively; t is the expected power restoration state duration.
2. The active power distribution network fault recovery method of claim 1, wherein S1 further comprises:
setting the upper limit value of the threshold.
3. The active power distribution network fault recovery method of claim 1, wherein S3 comprises:
s31, randomly generating a switch on-off state meeting a probability distribution diagram through the updated power distribution network fault network topology, further determining a network topology structure, and calculating the maximum load recovery amount and the voltage unbalance amount;
S32, controlling the SOP and the MT to restore the power supply to the load, changing the control mode to enable the load restoration amount to be maximum and the voltage unbalance amount to be minimum, and returning the optimization result to the S31 until the optimal SOP and MT control mode, the on-off state of a switch in the network, the maximum load restoration amount and the minimum voltage unbalance amount are obtained.
4. An active power distribution network fault recovery system based on soft switch under flood disasters, which is characterized by comprising:
The disaster probability distribution calculation module is used for outputting disaster influence probability distribution data of the power distribution network according to the current accumulated rainfall of the designated power distribution area and weather forecast information of a future preset period and by combining historical flood disaster data of the power distribution area;
the network topology updating module is used for processing the distribution network disaster influence probability distribution data, and outputting updated distribution network fault network topology after removing equipment or a platform area with disaster damage probability larger than a threshold value;
The power recovery module is used for controlling the SOP and MT to recover power supply to the load after the on-off state of the switch is determined through the updated power distribution network fault network topology, so that the load recovery amount is maximum and the voltage unbalance amount is minimum;
The disaster probability distribution calculation module comprises:
A weather prediction unit for calculating and predicting weather prediction information of a future preset period by adopting a weighted Markov prediction model,
The precipitation probability calculation unit is used for calculating the precipitation probability of the weather forecast information by using a fuzzy set algorithm;
The disaster probability distribution calculation unit is used for drawing a distribution network disaster influence probability distribution map comprising precipitation probability P w and equipment failure probability P h under the precipitation probability P w by combining historical flood disaster data of the distribution transformer area;
When the P f is larger than the upper limit value of the threshold, the fault equipment cannot be recovered to be removed so as not to influence the safe operation of the power distribution network, and the total fault probability P f of the equipment in the area after flood disaster is calculated through the probability distribution map is as follows:
Pf＝Pw×Pw；
The power recovery 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 network topology, further determining a network topology structure and calculating the maximum load recovery amount and the voltage unbalance amount;
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 so as to maximize the load recovery amount and minimize the voltage unbalance amount, and returning the optimization result to the power supply parameter calculation unit until the optimal SOP and MT control mode, the on-off state of a switch in a network, the maximum load recovery amount and the minimum voltage unbalance amount are obtained;
The network topology updating module is specifically configured to randomly generate a set of network topology structures of the distribution network in which the disaster-stricken area is removed from the probability distribution diagram, where the topology structures satisfy constraints (1) - (3) of the radiant network about the tie switch and the sectionalizing switch, constraints (4) for selecting control models of SOP and MT, and constraints (5) for 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)，
wherein: a ij is a binary variable representing the switching state of the branch ij; a ij =1 denotes switch on, a ij =0 denotes switch off, β ij and β ji are two auxiliary binary variables, β ij =1 denotes that node i is a parent node of node j, β ij =0 denotes that node i is not a parent node of node j, Ω b denotes a set of all nodes, Ω SOP denotes a set of SOP nodes, Ω Sub denotes a set of substation nodes, Ω MT denotes a set of MT nodes;
after the topological structure is determined, calculating the load recovery amount and the voltage unbalance amount:
Wherein: f P、fU is the total weight recovery load and the voltage unbalance amount respectively; Active power recovered for node iφ phase; mu i is the weight coefficient of the node i load and depends on the priority of the node load; /(I) And/>The real part and the imaginary part of the voltage negative sequence unbalance of the node i at the moment t are respectively; t is the expected power restoration state duration.
5. The active power distribution network fault recovery system of claim 4, further comprising an upper threshold limit value unit connected to the disaster probability distribution calculation unit for performing input setting on the upper threshold limit value.
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 CN114094572A (en) | 2022-02-25 |
| CN114094572B true 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)
| 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 |
-
2021
- 2021-11-12 CN CN202111339744.2A patent/CN114094572B/en active Active
Patent Citations (3)
| 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)
| Title |
|---|
| The research on fault restoration and refactoring for Active Distribution Network;H. Zhu et al.;2019 Chinese Automation Congress (CAC), Hangzhou;全文 * |
| 主动配电网灾害恢复模型;柯梓阳;汪隆君;王钢;;中国科技论文(11);全文 * |
| 基于路径描述的配网灾后供电恢复策略;张林垚;雷勇;施鹏佳;王孝慈;朱嘉麒;董树锋;;电测与仪表(15);全文 * |
| 灾害全过程配电网弹性评估方法及提升策略;吴疆等;电 力 系 统 及 其 自 动 化 学 报;全文 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114094572A (en) | 2022-02-25 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Salimi et al. | Information gap decision theory-based active distribution system planning for resilience enhancement | |
| JP2022500998A (en) | Systems, methods, and computer program products that make up the microgrid | |
| Zou et al. | Distribution system restoration with renewable resources for reliability improvement under system uncertainties | |
| CN117134353B (en) | Virtual area dynamic switching-based power distribution network fault recovery method and system | |
| Vitorino et al. | Loss and reliability optimization for power distribution system operation | |
| CN113328437B (en) | Intelligent power distribution network CPS topology construction method and fault recovery method | |
| CN112260271B (en) | Method and device for generating power distribution network fault recovery strategy | |
| CN115995790A (en) | Power distribution network fault recovery method, system, equipment and medium | |
| Anteneh et al. | Distribution network reliability enhancement and power loss reduction by optimal network reconfiguration | |
| Almassalkhi et al. | Cascade mitigation in energy hub networks | |
| Michaelson et al. | A predictive energy management strategy with pre-emptive load shedding for an islanded PV-battery microgrid | |
| CN113346484B (en) | Power distribution network elastic lifting method and system considering transient uncertainty | |
| Hosseinzadeh et al. | Fast restoration of microgrids using online evaluation metrics considering severe windstorms | |
| CN114094572B (en) | Active power distribution network fault recovery method and system | |
| KR20200041486A (en) | System and method for controlling voltage of direct current distribution | |
| Poudel et al. | Resilient restoration of power distribution system based on minimum spanning forest | |
| Abd El-Hamed et al. | Self-healing restoration of a distribution system using hybrid Fuzzy Control/Ant-Colony Optimization Algorithm | |
| CN114818379B (en) | Information physical active power distribution system interactive planning method considering multidimensional uncertainty | |
| Zhu et al. | A terminal distribution network black-start optimization method based on pruning algorithm considering distributed generators | |
| Cai et al. | Two-stage mobile emergency generator dispatch for sequential service restoration of microgrids in extreme conditions | |
| CN116131446A (en) | Power system and recovery method and device of power information system | |
| Liu et al. | A resilience enhancement scheme of cyber-physical power system for extreme natural disasters | |
| Wang et al. | Early warning of distribution transformer based on bp neural network considering the influence of extreme weather | |
| Xu et al. | Reconfiguration Based Load Restoration in Active Distribution Networks with A Voltage Frequency Dependent Load Model | |
| Teng et al. | A disaster-triggered life-support load restoration framework based on Multi-Agent Consensus System |
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 |