CN112242701A - Distribution method and system based on multi-fault first-aid repair task of power distribution network - Google Patents
Distribution method and system based on multi-fault first-aid repair task of power distribution network Download PDFInfo
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Abstract
The invention discloses a distribution method and a distribution system based on a multi-fault first-aid repair task of a power distribution network, wherein a node load demand model is constructed based on node load characteristics of the power distribution network; establishing a multi-fault first-aid repair and recovery optimization model of the power distribution network based on DGs and time-varying loads by utilizing a dynamic relation, and dividing a fault first-aid repair process into a fault first-aid repair front stage and a fault first-aid repair later stage; calculating the early stage of fault first-aid repair and the later stage of fault first-aid repair to respectively obtain the power restoration time length and the first-aid repair time length of each fault; a restoration value model is constructed by combining the power restoration duration and the load demand model, and a first-stage first-aid repair task distribution scheme of fault first-aid repair is obtained; and calculating according to the power grid structure and the load demand model to obtain a power distribution network loss value, and constructing a network loss value model by using the network loss value and the first-aid repair duration to obtain a first-aid repair task distribution scheme at the later stage of fault first-aid repair. The method is based on the power distribution network fault first-aid repair sequence established by the two value models, and is obtained without solving through an iterative algorithm, so that an NP problem is avoided, and the solving complexity is reduced.
Description
Technical Field
The invention relates to the technical field of distribution network fault first-aid repair and power supply recovery strategies and distribution network reconstruction, in particular to a distribution method and a distribution system based on a distribution network multi-fault first-aid repair task.
Background
The power system is used as the advanced industry of the national economic system, the demand on power is more and more extensive, and the power distribution network is used as an important link of a power network, plays a role in conveying electric energy for users such as industry, business and family, and the like, directly influences the power supply quality of the users, and power failure not only causes huge economic loss to various industries of the society, but also brings inconvenience to people's life, causes social order disorder, and even causes serious consequences such as national defense safety and social turbulence. According to statistics, more than 80% of power failure accidents are caused by power distribution network faults. When the power distribution system breaks down, some section switches in the power distribution system can be opened to isolate the fault, and some interconnection switches are closed to transfer part or all of the load on the fault line to other lines, so that the aims of rapidly isolating the fault and recovering power supply are fulfilled, and the power supply reliability is improved. Therefore, how to quickly and accurately recover the power supply to the user, reduce the power failure time, narrow the fault influence range, reduce the loss caused by power failure and improve the power supply reliability of the power distribution network is of great significance.
The faults of the power distribution network include single faults, development faults, multiple faults, cascading faults and the like, and the consequences and the repair strategies caused by each fault are different. For multiple faults, all the faults cannot be repaired at the same time, but the faults are required to be repaired as soon as possible and power supply is required to be recovered in time so as to improve the power supply reliability of the power distribution network and reduce the dissatisfaction degree of users. Therefore, factors influencing emergency repair strategies and emergency repair efficiency, such as load types, fault geographic vehicle ranges, load grades, daily load demands, power-loss load recovery amount and the like, need to be analyzed before emergency repair, and reasonable emergency repair strategies are difficult to prepare only by human experience due to complex conditions. In the emergency repair process, if the distributed power supply in the power grid has insufficient output, the capacity of the energy storage system is limited, and a new fault occurs suddenly, the power grid structure changes, the established emergency repair strategy needs to be dynamically planned or adjusted.
The fault repairing research of the power distribution network not only relates to fault first-aid repair of lines, equipment and the like, but also relates to power supply recovery of power-losing loads, and in the fault repairing process, the fault first-aid repair and the power supply recovery are independent processes, and are mutually coordinated and alternate processes step by step. Therefore, the emergency repair strategy and the recovery strategy at each stage also have mutual influence, namely a dynamic emergency repair and reconstruction process.
Disclosure of Invention
This section is for the purpose of summarizing some aspects of embodiments of the invention and to briefly introduce some preferred embodiments. In this section, as well as in the abstract and the title of the invention of this application, simplifications or omissions may be made to avoid obscuring the purpose of the section, the abstract and the title, and such simplifications or omissions are not intended to limit the scope of the invention.
The present invention has been made in view of the above-mentioned conventional problems.
Therefore, the invention provides a distribution method and a distribution system based on a multi-fault first-aid repair task of a power distribution network, which can formulate an efficient and scientific fault first-aid repair strategy and reduce the network loss of a power system.
In order to solve the technical problems, the invention provides the following technical scheme: the method comprises the steps of constructing a node load demand model based on the node load characteristics of the power distribution network; establishing a multi-fault first-aid repair and recovery optimization model of the power distribution network based on DGs and time-varying loads by utilizing a dynamic relation, and dividing a fault first-aid repair process into a fault first-aid repair front stage and a fault first-aid repair later stage; calculating the early stage of fault first-aid repair and the later stage of fault first-aid repair to respectively obtain the power restoration time length and the first-aid repair time length of each fault; building a restoration value model by combining the power restoration duration and the load demand model to obtain a first-stage first-aid repair task allocation scheme of the fault first-aid repair; calculating according to a power grid structure and the load demand model to obtain a power distribution network loss value, and constructing a network loss value model by using the network loss value and the emergency repair duration to obtain an emergency repair task distribution scheme at the later stage of fault emergency repair.
The invention relates to a preferable scheme of a distribution method based on a distribution network multi-fault first-aid repair task, wherein the method comprises the following steps: the load demand model may include, for example,
wherein, l: load type, 1: commercial, 2: residents, 3: industrial; pN(k) The method comprises the following steps Rated load power at node k, r (k, l): proportionality coefficient of l-th load to rated load power at node k, m (l, T): load of the first kind at a timeA proportionality coefficient of T; the load demand of the entire distribution network node k at time T is thus determined.
The invention relates to a preferable scheme of a distribution method based on a distribution network multi-fault first-aid repair task, wherein the method comprises the following steps: the dynamic relationship is the relationship between a fault first-aid repair, power restoration and grid optimization.
The invention relates to a preferable scheme of a distribution method based on a distribution network multi-fault first-aid repair task, wherein the method comprises the following steps: the early stage of the fault emergency repair comprises the stages of the fault emergency repair and the power supply recovery; the later stage of the fault emergency repair comprises the stages of the fault emergency repair and the grid optimization.
The invention relates to a preferable scheme of a distribution method based on a distribution network multi-fault first-aid repair task, wherein the method comprises the following steps: calculating the complex electric time period includes the steps of,
wherein, Tie＝T0+t∑+tie: at the moment when the downstream load resumes the power supply,
upstream failure Fi On the upper partAnd finishing rush repair.
The invention relates to a preferable scheme of a distribution method based on a distribution network multi-fault first-aid repair task, wherein the method comprises the following steps: calculating the length of the first-aid repair time includes,
ticm＝tic+timix，i＝1,2,3...n
Ticm＝T0+t∑+ticm
wherein, ticm：FiRush repair duration of t∑: accumulated first-aid repair time t of repaired fault in earlier stageic: time of trip, timix: maintenance duration, n: total number of faults, Ticm：FiTime of completion of first-aid repair, T0: the moment when the fault occurs.
The invention relates to a preferable scheme of a distribution method based on a distribution network multi-fault first-aid repair task, wherein the method comprises the following steps: constructing the repair value model includes repairing a fault FiLoad capacity and fault power restoration time t of later energy recovery power supplyieIs targeted to construct the restoration value model, as follows,
wherein, Wi：FiThe repair value of (1) is used for measuring the first-aid repair FiValue of (a), wk: load level weight of node k, yk: characterizing node k charged state, y 1: and (3) power supply is recovered, y is 0: power supply is not recovered, and R: set of all power loss nodes in a power distribution network caused by all faults, RDG: the set of all nodes powered by DGs, R if DGs are not connected to the distribution networkDG＝0。
The invention relates to a preferable scheme of a distribution method based on a distribution network multi-fault first-aid repair task, wherein the method comprises the following steps: constructing the network loss value model includes first-aid repairing the fault FiFront, reconstruction calculation F using a push-forward back-substitution strategyiThe branch is at TicmNetwork loss P before time switching on and power supplylossq(i,Ticm) To obtain the minimum network loss Plossh(i,Ticm) (ii) a By twice the net loss difference and FiRush repair time ticmIs used as a target to establish the network loss value model, as follows,
maxWloss(i)＝(Plossq(i,Ticm)-Plossh(i,Ticm))/ticm
wherein, Wloss(i)：FiThe value of loss of the network is used for measuring the first-aid repair FiValue of (A), Plossq(i,Ticm)：FiThe branch is at TicmLoss of network before time-switch-on power supply, Plossh(i,Ticm)：FiThe reconstruction calculation is carried out after the branch is switched on and supplies powerTo minimum network loss.
The invention relates to a preferable scheme of a distribution method based on a distribution network multi-fault first-aid repair task, wherein the method comprises the following steps: the reconstruction calculation further includes that the reconstruction calculation takes the minimum of the network loss as an objective function, as follows,
wherein D isl: set of branches, P, of a network within a distribution networkj,t、Qj,tRespectively representing the active power and the reactive power at the tail end of the branch j in the t period, Rj: resistance of branch j, Uj,t: the voltage amplitude of the branch j end node during the period t.
The invention relates to a preferable scheme of a distribution system based on a distribution network multi-fault first-aid repair task, wherein the distribution system comprises: the system comprises an information acquisition module, a data processing module and a data processing module, wherein the information acquisition module is used for acquiring the load characteristics of the nodes of the power distribution network and various functional data information; the data processing center module is used for receiving, calculating, storing and outputting data information to be processed and comprises an operation unit, a database and an input and output management unit, wherein the operation unit is connected with the acquisition module and used for receiving the data information acquired by the acquisition module to perform operation processing and calculating the power restoration time length, the emergency repair time length, the repair value and the network loss value; and the distribution module is connected with the data processing center module and used for reading the operation result of the operation unit and distributing the operation line information to allocate the minimum operation scheme of the power grid branch network loss.
The invention has the beneficial effects that: the restoration value model combines the load capacity and the time, more loads can be quickly restored to supply power in the early stage of fault emergency repair by the cyclic alternation of emergency repair and power restoration, the network loss value model combines the network loss and the time, the emergency repair and the network frame optimization cyclic alternation can reduce the running time of a power distribution network in an unreasonable structure in the later stage of fault emergency repair, and reduce the network loss to a greater extent, the two value models are a comprehensive optimization result, and the defects of large network loss, long power failure time of important loads and the like caused by only considering a single factor are overcome; the power distribution network fault first-aid repair sequence established based on the two value models is obtained without solving through an iterative algorithm, so that an NP problem cannot be formed, and the solving complexity is reduced.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise. Wherein:
fig. 1 is a schematic flow chart of an allocation method based on a power distribution network multi-fault emergency repair task according to the present invention;
FIG. 2 is a schematic diagram of a flow of an allocation algorithm of an allocation method based on a multi-fault emergency repair task of a power distribution network according to the present invention;
fig. 3 is a schematic diagram of three types of load ratios of each node of a PG & E69 node system based on the distribution method of the multi-fault emergency repair task of the power distribution network, according to the present invention;
fig. 4 is a schematic diagram of the proportion of three types of load demands per hour per day for each node of a PG & E69 node system based on the distribution method of the multi-fault emergency repair task of the power distribution network, according to the present invention;
FIG. 5 is a schematic diagram of an actual wind-solar DG output curve of the distribution method based on the multi-fault emergency repair task of the power distribution network, provided by the invention;
FIG. 6 is a schematic diagram of emergency repair duration and a vehicle journey of each fault point of the distribution method based on the distribution network multi-fault emergency repair task;
FIG. 7 is a schematic diagram of a power distribution network topology structure of an allocation method based on a power distribution network multi-fault emergency repair task according to the present invention;
fig. 8 is a schematic diagram of emergency repair gantt of an allocation method based on a power distribution network multi-fault emergency repair task according to the present invention;
fig. 9 is a schematic diagram of emergency repair bits according to a comparison scenario 1 of the distribution method based on a multi-fault emergency repair task of a power distribution network according to the present invention;
fig. 10 is a schematic diagram of emergency repair gantt according to a comparison scenario 2 of the distribution method based on a distribution network multi-fault emergency repair task according to the present invention;
fig. 11 is a schematic diagram of a distribution system based on a distribution network multi-fault emergency repair task according to the present invention.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, specific embodiments accompanied with figures are described in detail below, and it is apparent that the described embodiments are a part of the embodiments of the present invention, not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making creative efforts based on the embodiments of the present invention, shall fall within the protection scope of the present invention.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways than those specifically described and will be readily apparent to those of ordinary skill in the art without departing from the spirit of the present invention, and therefore the present invention is not limited to the specific embodiments disclosed below.
Furthermore, reference herein to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one implementation of the invention. The appearances of the phrase "in one embodiment" in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments.
The present invention will be described in detail with reference to the drawings, wherein the cross-sectional views illustrating the structure of the device are not enlarged partially in general scale for convenience of illustration, and the drawings are only exemplary and should not be construed as limiting the scope of the present invention. In addition, the three-dimensional dimensions of length, width and depth should be included in the actual fabrication.
Meanwhile, in the description of the present invention, it should be noted that the terms "upper, lower, inner and outer" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of describing the present invention and simplifying the description, but do not indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation and operate, and thus, cannot be construed as limiting the present invention. Furthermore, the terms first, second, or third are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
The terms "mounted, connected and connected" in the present invention are to be understood broadly, unless otherwise explicitly specified or limited, for example: can be fixedly connected, detachably connected or integrally connected; they may be mechanically, electrically, or directly connected, or indirectly connected through intervening media, or may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
Example 1
When a plurality of faults exist in the power distribution network, the faults need to be repaired in time, after a certain fault is repaired, a branch where the fault is located needs to be switched on, so that the downstream load power supply is recovered, when all the loads recover the power supply but the faults are not repaired, and after each fault is repaired, the grid operation structure is adjusted to reduce the grid loss of the power grid operation.
Referring to fig. 1, 3 to 10, a first embodiment of the present invention provides an allocation method based on a multi-fault emergency repair task of a power distribution network, including:
s1: and constructing a node load demand model based on the node load characteristics of the power distribution network. It should be noted that the load demand model includes:
wherein, l: load type, 1: commercial, 2: residents, 3: industrial; pN(k) The method comprises the following steps Rated load power at node k, r (k, l): proportionality coefficient of l-th load to rated load power at node k, m (l, T): the proportionality coefficient of the l-th load at time T;
the load demand of the entire distribution network node k at time T is thus determined.
S2: a multi-fault first-aid repair and recovery optimization model of the power distribution network based on DGs and time-varying loads is established by utilizing a dynamic relation, and a fault first-aid repair process is divided into a fault first-aid repair front period and a fault first-aid repair later period. The steps to be explained are as follows:
the dynamic relation is the relation among fault first-aid repair, power supply recovery and grid frame optimization;
the early stage of fault emergency repair comprises the stages of fault emergency repair and power supply recovery;
the later stage of the fault emergency repair comprises the stages of the fault emergency repair and the grid frame optimization.
S3: and calculating the early stage of fault first-aid repair and the later stage of fault first-aid repair to respectively obtain the power restoration time length and the first-aid repair time length of each fault. It should be further noted that calculating the power restoration time period includes:
in the early stage of fault first-aid repair, the power restoration time length of each fault is obtained according to the power grid structure and the fault information, as follows,
wherein, Tie＝T0+t∑+tie: at the moment when the downstream load resumes the power supply,
upstream failure Fi On the upper partAnd finishing rush repair.
Further, calculating the rush repair time length includes:
in the later stage of the emergency repair of the faults, the emergency repair duration of each fault is obtained according to the fault information, as follows,
ticm＝tic+timix，i＝1,2,3...n
Ticm＝T0+t∑+ticm
wherein, ticm：FiRush repair duration of t∑: accumulated first-aid repair time t of repaired fault in earlier stageic: time of trip, timix: maintenance duration, n: total number of faults, Ticm：FiTime of completion of first-aid repair, T0: the moment when the fault occurs.
S4: and (4) constructing a restoration value model by combining the power restoration duration and the load demand model to obtain a first-stage first-aid repair task allocation scheme of fault first-aid repair. It should be further noted that the step of constructing the restoration value model includes:
to repair the fault FiLoad capacity and fault power restoration time t of later energy recovery power supplyieThe maximum ratio of (c) is targeted to construct a restoration value model, as follows,
wherein, Wi：FiThe repair value of (1) is used for measuring the first-aid repair FiValue of (a), wk: load level weight of node k, yk: characterizing node k charged state, y 1: and (3) power supply is recovered, y is 0: power supply is not recovered, and R: set of all power loss nodes in a power distribution network caused by all faults, RDG: the set of all nodes powered by DGs, R if DGs are not connected to the distribution networkDG＝0。
S5: and calculating according to the power grid structure and the load demand model to obtain a power distribution network loss value, and constructing a network loss value model by using the network loss value and the first-aid repair duration to obtain a first-aid repair task distribution scheme at the later stage of fault first-aid repair. It is further noted that constructing the network loss value model includes:
in the first-aid repair of the fault FiFront, reconstruction calculation F using a push-forward back-substitution strategyiThe branch is at TicmNetwork loss P before time switching on and power supplylossq(i,Ticm) To obtain the minimum network loss Plossh(i,Ticm)；
By twice the net loss difference and FiRush repair time ticmThe maximum ratio of (d) is the target for building a loss value model, as follows,
maxWloss(i)＝(Plossq(i,Ticm)-Plossh(i,Ticm))/ticm
wherein, Wloss(i)：FiThe value of loss of the network is used for measuring the first-aid repair FiValue of (A), Plossq(i,Ticm)：FiThe branch is at TicmLoss of network before time-switch-on power supply, Plossh(i,Ticm)：FiAnd reconstructing the minimum network loss obtained by calculation after the branch is switched on for power supply.
Specifically, the reconstruction calculation takes the minimum network loss as an objective function, as follows:
wherein D isl: set of branches, P, of a network within a distribution networkj,t、Qj,tRespectively representing the active power and the reactive power at the tail end of the branch j in the t period, Rj: resistance of branch j, Uj,t: the voltage amplitude of the branch j end node during the period t.
Still further, setting a power grid operation constraint condition during reconstruction calculation, including:
radial running constraint, node voltage constraint, branch capacity constraint, island internal power constraint, as follows,
wherein, g: current distribution network operation structure, G: the collection of all the radial structures of the distribution network,
and
lower and upper limits, S, respectively, of the voltage fluctuation of node kkk'max: upper limit of transmission capacity of branch kk, D: node set in island, n: number of nodes in island, Peq,t: the combined total output value L of the light storage system in the time period ti,t: and (4) the load size of the node i in the island in the time period t.
Preferably, in order to better understand the application implementation of the method of the present invention, this embodiment is schematically illustrated with reference to fig. 2 to 10, and referring to fig. 7, the reference voltage is 12.66KV, F1-F10 are 10 fault points, number 0 is the power supply, 1-69 are the load nodes, 70-74 are the tie switches; the first-level power-off load nodes are numbered as follows: 10-11, 16-17, 48 and 54, and the serial number of the second-stage power-loss load node is as follows: 12-15, 18-26, 33, 40-44, 49, 55-62 and 68, and the number of the three-stage power-loss load nodes is as follows: 34-35, 45-46, 50, 63-67 and 69, wherein the weight ratio of three grades of loads is 100: 10: 1; wind power DG with the rated capacity of 1000Kw is added at a node 45, photovoltaic DGs with the rated capacity of 250Kw and the same parameters are added at nodes 19, 56 and 63, wind-solar actual output refers to FIG. 5, emergency repair duration and vehicle distance of each fault point refer to FIG. 6, and it is defined that 10 faults of a power distribution network occur randomly at 8:00 am and are isolated, for example, F1-F10 in FIG. 7, and three emergency repair teams (M1-M3) exist.
(1) Analyzing the node load characteristics of the power distribution network by referring to fig. 3 and 4, and constructing a node load demand model;
(2) referring to fig. 6, the sum of the vehicle journey time to the fault point and the maintenance time thereof is defined as the rush-repair time of the fault;
specifically, when a plurality of rush-repair teams rush-repair, the following conditions exist:
in rush repair upstream failure FiTime t oficmIn the interior, no team salvages the downstream fault;
in rush repair upstream failure Fi On the upper partTime of
In the interior, there is a team to rush repair the downstream fault FiBut later than Fi On the upper partCompleting the repair;
rush repair downstream failure FiBut earlier than the upstream fault Fi On the upper partAnd (5) completing the repair.
(3) Will begin to make an emergency repair FiThe time period for recovering power supply to the downstream load is defined as the power recovery time tieWherein F isiDownstream load resume power supply time TieIs an upstream failure Fi On the upper partTime of first-aid repair completion
Namely, it is
(4) Constructing a restoration value model based on the load demand model and the power restoration duration;
referring to fig. 8, three first-aid repair tasks with the largest repair value are respectively F1, F8 and F2 and are respectively allocated to three first-aid repair teams, when F2 is repaired, DG1 and DG2 are merged into a large island, the power supply recovery range is increased, F5 is allocated to M3 according to the repair value under the distribution network structure, when F1, F8 and F5 are repaired, all power loss loads recover power supply under the power supply of a main network and the DG, and the downstream load of F10 is not connected to a large power grid, so that F10 is allocated to M1.
(5) Obtaining a power grid operation network loss value according to a power grid structure and a load demand model, and constructing a network loss value model based on the power grid operation network loss value and the first-aid repair duration;
referring to fig. 8, the length of each square in the figure represents the rush-repair duration of a corresponding fault, when F10 is distributed, all power loss loads are connected to a large power grid after being repaired by F10, at the later stage of fault rush-repair, rush-repair tasks are distributed according to a network loss value model, the two rush-repair tasks with the largest network loss values are F9 and F6 and are respectively distributed to M2 and M3, after F9 is repaired and grid frame optimization is performed, the network loss values of the remaining faults are recalculated and the rush-repair tasks are distributed, and so on until all the rush-repair tasks are distributed.
(6) The existing method for allocating the emergency repair task according to the load capacity (comparison method 1) and the social power shortage expected quantity allocation emergency repair task method (comparison method 2) are compared with the method for testing;
comparative method 1:
in the early stage of failure emergency repair to repair FiThe maximum load amount of the post-recovery power supply is the target:
in the later stage of fault emergency repair, the shortest total emergency repair time is taken as a target:
minT＝max{T1,T2,…,Tm}
wherein, TmAnd (4) completing the distributed last emergency repair task for the emergency repair team m.
Comparative method 2:
in the early stage of fault first-aid repair, the EENS minimum is taken as a target:
wherein (t)∑+tie) Is FiThe downstream load outage duration;
in the later stage of fault emergency repair, the shortest total emergency repair time is taken as a target:
minT＝max{T1,T2,…,Tm}
wherein, TmAnd (4) completing the distributed last emergency repair task for the emergency repair team m.
The comparative results are as follows:
table 1: the three methods are compared with a result data table.
Referring to table 1, the assignment results of the tasks in the earlier stage of first-aid repair of the method of the invention and the comparison method 2 are the same, so the total power loss load is the same, since F4 is later than F7 in the method of the invention, the total first-aid repair time is 0.7h longer than that in the comparison method 2, so the total network loss is slightly larger, but still smaller than that in the comparison method 1, in the earlier stage of first-aid repair of a fault, t of F6 in the comparison method 1icmThe total power loss load is larger due to the longer time, and the network loss is larger due to the delayed first-aid repair of F9 at the later stage of fault first-aid repair.
(7) In order to better verify the applicability of the method of the present invention, the present embodiment respectively performs comparison tests on two comparison methods and the method of the present invention under two different scenarios;
scene one, no DG exists in a distribution network and the existence of a contact switch is not considered, and a first-aid repair Gantt chart obtained by the method is shown in figure 9;
table 2: results of the three methods are shown in the table.
Referring to Table 2, the rush repair time of comparative method 1 is the shortest, but some t due to the consideration of only the load amount capable of restoring the power supplyicmLonger fault first-aid repair (e.g. F9), ticmA short downstream fault delayed first-aid repair (such as F10) results in prolonging the power failure time of a part of heavy load, so that the total power loss load is maximum; the EENS values for the three methods were calculated, and although the EENS value for comparative method 2 was minimal, the total loss of power was not minimal because some of the loss of power was not large but t wasicmThe preferential first-aid repair of longer faults (e.g., F6) extends the outage time.
Scene two, the existence of a contact switch is considered when no DG exists in a distribution network, and a first-aid repair Gantt chart obtained by the method is shown in figure 10;
table 3: results of the three methods are shown in the table.
Referring to table 3, the method of the present invention can recover more power loss loads after the upstream faults (F1 and F8) are repaired due to the priority of first-aid repair of the downstream faults (F2 and F10), so that the total power loss load amount in the early stage of first-aid repair is smaller although t of F4 is smallericmThe longer time results in the longest time when all fault repairs are finished, but the minimum network loss; in comparative method 1, t due to F6icmDue to long time and load time-varying property, the power failure time of the downstream load is prolonged, so the total power loss load is increased, and in the later stage of emergency repair, the network loss is increased due to delayed emergency repair of F1 and F9; in comparison with method 2, in the later stage of emergency repair, the total network loss is increased due to the fact that the emergency repair F6 is delayed.
In conclusion, in the comparison method 1, the task distribution only according to the load quantity in the early stage of emergency repair can prolong the power failure time of part of the load, and the task distribution only according to the minimum total emergency repair time in the later stage of emergency repair can prolong the running time of the power grid in an unreasonable structure and increase the grid loss; in the comparison method 2, the power failure time is considered in the early stage of emergency repair, the total power loss load is less than that in the comparison method 1, but the situation of increased network loss caused by the poor structure of the power grid also occurs in the later stage of emergency repair; the method has certain advantages by combining the situations of the first-aid repair time, the total power loss load and the total network loss at the later stage of the first-aid repair, and can recover power supply more quickly and reduce the network loss to a greater extent.
Example 2
Still further, referring to fig. 2, this embodiment further provides an allocation algorithm for implementing a multi-fault emergency repair task of a power distribution network, including:
inputting basic data (distribution network structure, fault, load, DG, emergency maintenance team and parameters) and determining a target function and a constraint condition of each stage;
dividing an island and updating an island range and a distribution network structure in real time;
calculating and sequencing the repair values of all faults, and distributing first-aid repair tasks by combining task distribution rules;
switching on for power supply after fault repair, and updating a distribution network structure;
calculating the repair value of all the remaining faults, and distributing emergency repair tasks according to the emergency repair progress and the task distribution rule;
judging whether all the loads are connected to the large power grid or not, if not, recalculating the repair value of all the faults and distributing an emergency repair task until all the loads are connected to the large power grid;
if yes, directly calculating the value of the network loss of all the remaining faults, and distributing the first-aid repair task by combining the first-aid repair progress;
switching on for power supply after fault repair, disconnecting the corresponding branch according to the reconstruction result and updating the distribution network structure;
checking whether all fault repairing is finished, if not, recalculating the value of the remaining network loss of all faults and distributing a first-aid repair task;
if so, starting to reconstruct, calculate and adjust the network topology and output the result.
Example 3
Referring to fig. 11, a third embodiment of the present invention is different from the above embodiments in that, there is provided a distribution system based on a distribution network multiple fault emergency repair task, including:
the information acquisition module 100 is used for acquiring load characteristics of nodes of the power distribution network and data information of various functions; information collection is the collection and processing of information, can extract a large amount of required data information in the shortest time and classify and unify, improve information timeliness and reduce work load, and the information collection comprises a reliability principle, an integrity principle, a real-time principle, an accuracy principle, an usability principle, a planning principle and a predictability principle.
The data processing center module 200 is used for receiving, calculating, storing and outputting data information to be processed, and includes an operation unit 201, a database 202 and an input/output management unit 203, the operation unit 201 is connected to the acquisition module 100 and is used for receiving the data information acquired by the acquisition module 100 to perform operation processing, calculating the power restoration time, the emergency repair time, the repair value and the network loss value, the database 202 is connected to each module and is used for storing all the received data information and providing allocation and supply service for the data processing center module 200, and the input/output management unit 203 is used for receiving the information of each module and outputting the operation result of the operation unit 201.
The distribution module 300 is connected to the data processing center module 200, and is configured to read the operation result of the operation unit 201, and distribute the operation line information to allocate the operation scheme with the minimum power grid branch loss.
It should be noted that the data processing center module 200 is mainly divided into three layers, including a control layer, an operation layer and a storage layer, the control layer is a command control center of the data processing center module 200, and is composed of an instruction register IR, an instruction decoder ID and an operation controller OC, the control layer can sequentially fetch each instruction from a memory according to a program pre-programmed by a user, place the instruction in the instruction register IR, analyze and determine the instruction by the instruction decoder, notify the operation controller OC to operate, and send a micro-operation control signal to a corresponding component according to a determined time sequence; the operation layer is the core of the data processing center module 200, can execute arithmetic operation (such as addition, subtraction, multiplication, division and addition operation thereof) and logical operation (such as shift, logical test or two-value comparison), is connected to the control layer, and performs operation by receiving a control signal of the control layer; the storage layer is a database of the data processing center module 200, and can store data (data to be processed and data already processed).
It should be recognized that embodiments of the present invention can be realized and implemented by computer hardware, a combination of hardware and software, or by computer instructions stored in a non-transitory computer readable memory. The methods may be implemented in a computer program using standard programming techniques, including a non-transitory computer-readable storage medium configured with the computer program, where the storage medium so configured causes a computer to operate in a specific and predefined manner, according to the methods and figures described in the detailed description. Each program may be implemented in a high level procedural or object oriented programming language to communicate with a computer system. However, the program(s) can be implemented in assembly or machine language, if desired. In any case, the language may be a compiled or interpreted language. Furthermore, the program can be run on a programmed application specific integrated circuit for this purpose.
Further, the operations of processes described herein can be performed in any suitable order unless otherwise indicated herein or otherwise clearly contradicted by context. The processes described herein (or variations and/or combinations thereof) may be performed under the control of one or more computer systems configured with executable instructions, and may be implemented as code (e.g., executable instructions, one or more computer programs, or one or more applications) collectively executed on one or more processors, by hardware, or combinations thereof. The computer program includes a plurality of instructions executable by one or more processors.
Further, the method may be implemented in any type of computing platform operatively connected to a suitable interface, including but not limited to a personal computer, mini computer, mainframe, workstation, networked or distributed computing environment, separate or integrated computer platform, or in communication with a charged particle tool or other imaging device, and the like. Aspects of the invention may be embodied in machine-readable code stored on a non-transitory storage medium or device, whether removable or integrated into a computing platform, such as a hard disk, optically read and/or write storage medium, RAM, ROM, or the like, such that it may be read by a programmable computer, which when read by the storage medium or device, is operative to configure and operate the computer to perform the procedures described herein. Further, the machine-readable code, or portions thereof, may be transmitted over a wired or wireless network. The invention described herein includes these and other different types of non-transitory computer-readable storage media when such media include instructions or programs that implement the steps described above in conjunction with a microprocessor or other data processor. The invention also includes the computer itself when programmed according to the methods and techniques described herein. A computer program can be applied to input data to perform the functions described herein to transform the input data to generate output data that is stored to non-volatile memory. The output information may also be applied to one or more output devices, such as a display. In a preferred embodiment of the invention, the transformed data represents physical and tangible objects, including particular visual depictions of physical and tangible objects produced on a display.
As used in this application, the terms "component," "module," "system," and the like are intended to refer to a computer-related entity, either hardware, firmware, a combination of hardware and software, or software in execution. For example, a component may be, but is not limited to being: a process running on a processor, an object, an executable, a thread of execution, a program, and/or a computer. By way of example, both an application running on a computing device and the computing device can be a component. One or more components can reside within a process and/or thread of execution and a component can be localized on one computer and/or distributed between two or more computers. In addition, these components can execute from various computer readable media having various data structures thereon. The components may communicate by way of local and/or remote processes such as in accordance with a signal having one or more data packets (e.g., data from one component interacting with another component in a local system, distributed system, and/or across a network such as the internet with other systems by way of the signal).
It should be noted that the above-mentioned embodiments are only for illustrating the technical solutions of the present invention and not for limiting, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions may be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, which should be covered by the claims of the present invention.
Claims (10)
1. A distribution method based on a power distribution network multi-fault first-aid repair task is characterized by comprising the following steps: comprises the steps of (a) preparing a mixture of a plurality of raw materials,
constructing a node load demand model based on the node load characteristics of the power distribution network;
establishing a multi-fault first-aid repair and recovery optimization model of the power distribution network based on DGs and time-varying loads by utilizing a dynamic relation, and dividing a fault first-aid repair process into a fault first-aid repair front stage and a fault first-aid repair later stage;
calculating the early stage of fault first-aid repair and the later stage of fault first-aid repair to respectively obtain the power restoration time length and the first-aid repair time length of each fault;
building a restoration value model by combining the power restoration duration and the load demand model to obtain a first-stage first-aid repair task allocation scheme of the fault first-aid repair;
calculating according to a power grid structure and the load demand model to obtain a power distribution network loss value, and constructing a network loss value model by using the network loss value and the emergency repair duration to obtain an emergency repair task distribution scheme at the later stage of fault emergency repair.
2. The distribution method based on distribution network multi-fault emergency repair tasks according to claim 1, characterized in that: the load demand model may include, for example,
wherein, l: load type, 1: commercial, 2: residents, 3: industrial; pN(k) The method comprises the following steps Rated load power at node k, r (k, l): proportionality coefficient of l-th load to rated load power at node k, m (l, T): the proportionality coefficient of the l-th load at time T;
the load demand of the entire distribution network node k at time T is thus determined.
3. The distribution method based on distribution network multi-fault emergency repair tasks according to claim 1 or 2, characterized in that: the dynamic relationship is the relationship between a fault first-aid repair, power restoration and grid optimization.
4. The distribution network multi-fault emergency repair task-based distribution method according to claim 3, characterized in that: the early stage of the fault emergency repair comprises the stages of the fault emergency repair and the power supply recovery; the later stage of the fault emergency repair comprises the stages of the fault emergency repair and the grid optimization.
5. The distribution method based on distribution network multi-fault emergency repair task of claim 4, characterized in that: calculating the complex electric time period includes the steps of,
wherein, Tie＝T0+t∑+tie: at the moment when the downstream load resumes the power supply,
upstream failure Fi On the upper partAnd finishing rush repair.
6. The distribution method based on distribution network multi-fault emergency repair tasks according to claim 4 or 5, characterized in that: calculating the length of the first-aid repair time includes,
ticm＝tic+timix，i＝1,2,3...n
Ticm＝T0+t∑+ticm
wherein, ticm：FiRush repair duration of t∑: accumulated first-aid repair time t of repaired fault in earlier stageic: time of trip, timix: maintenance duration, n: total number of faults, Ticm：FiTime of completion of first-aid repair, T0: the moment when the fault occurs.
7. The distribution network multi-fault emergency repair task-based distribution method of claim 6, wherein: constructing the restoration value model includes constructing a restoration value model,
to repair the fault FiLoad capacity and fault power restoration time t of later energy recovery power supplyieIs targeted to construct the restoration value model, as follows,
wherein, Wi：FiThe repair value of (1) is used for measuring the first-aid repair FiValue of (a), wk: load level weight of node k, yk: characterizing node k charged state, y 1: and (3) power supply is recovered, y is 0: power supply is not recovered, and R: set of all power loss nodes in a power distribution network caused by all faults, RDG: the set of all nodes powered by DGs, R if DGs are not connected to the distribution networkDG＝0。
8. The distribution network multi-fault emergency repair task-based distribution method of claim 7, wherein: constructing the loss value model may include,
in rush repair of the fault FiFront, reconstruction calculation F using a push-forward back-substitution strategyiThe branch is at TicmNetwork loss P before time switching on and power supplylossq(i,Ticm) To obtain the minimum network loss Plossh(i,Ticm)；
By twice the net loss difference and FiRush repair time ticmIs used as a target to establish the network loss value model, as follows,
max Wloss(i)＝(Plossq(i,Ticm)-Plossh(i,Ticm))/ticm
wherein, Wloss(i)：FiThe value of loss of the network is used for measuring the first-aid repair FiValue of (A), Plossq(i,Ticm)：FiThe branch is at TicmLoss of network before time-switch-on power supply, Plossh(i,Ticm)：FiAnd reconstructing the minimum network loss obtained by calculation after the branch is switched on for power supply.
9. The distribution network multi-fault emergency repair task-based distribution method of claim 8, wherein: the reconstruction calculation further includes the steps of,
the reconstruction calculation takes the minimum of the network loss as an objective function, as follows,
wherein D isl: set of branches, P, of a network within a distribution networkj,t、Qj,tRespectively representing the active power and the reactive power at the tail end of the branch j in the t period, Rj: resistance of branch j, Uj,t: the voltage amplitude of the branch j end node during the period t.
10. The utility model provides a distribution system based on distribution network trouble salvagees task which characterized in that: comprises the steps of (a) preparing a mixture of a plurality of raw materials,
the information acquisition module (100) is used for acquiring the load characteristics of the nodes of the power distribution network and various functional data information;
the data processing center module (200) is used for receiving, calculating, storing and outputting data information to be processed, and comprises an operation unit (201), a database (202) and an input and output management unit (203), wherein the operation unit (201) is connected with the acquisition module (100) and used for receiving the data information acquired by the acquisition module (100) to perform operation processing and calculating the power restoration duration, the emergency repair duration, the repair value and the network loss value, the database (202) is connected with each module and used for storing all received data information and providing allocation and supply service for the data processing center module (200), and the input and output management unit (203) is used for receiving the information of each module and outputting the operation result of the operation unit (201);
the distribution module (300) is connected to the data processing center module (200) and is used for reading the operation result of the operation unit (201) and distributing operation line information to allocate a power grid branch network loss minimum operation scheme.
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