CN116845906A - Power distribution network rack determining method, device, equipment and storage medium - Google Patents

Power distribution network rack determining method, device, equipment and storage medium Download PDF

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CN116845906A
CN116845906A CN202310805457.9A CN202310805457A CN116845906A CN 116845906 A CN116845906 A CN 116845906A CN 202310805457 A CN202310805457 A CN 202310805457A CN 116845906 A CN116845906 A CN 116845906A
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optimized
grid
net
loss
net rack
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董富德
黄荣杰
华耀
薛博文
王伟杰
盘倩
张培培
梁健辉
郭景宇
徐远途
盘荣波
朱德强
赵文
陈伯韬
杨浩
钟芬芳
李炳坤
吴泽霖
王星华
彭显刚
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Guangdong Power Grid Co Ltd
Qingyuan Power Supply Bureau of Guangdong Power Grid Co Ltd
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Guangdong Power Grid Co Ltd
Qingyuan Power Supply Bureau of Guangdong Power Grid Co Ltd
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Priority to CN202310805457.9A priority Critical patent/CN116845906A/en
Publication of CN116845906A publication Critical patent/CN116845906A/en
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    • H—ELECTRICITY
    • H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00—Circuit arrangements for ac mains or ac distribution networks
    • H02J3/12—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
    • H02J3/14—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by switching loads on to, or off from, network, e.g. progressively balanced loading
    • H02J3/144—Demand-response operation of the power transmission or distribution network
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/10—Geometric CAD
    • G06F30/18—Network design, e.g. design based on topological or interconnect aspects of utility systems, piping, heating ventilation air conditioning [HVAC] or cabling
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/06—Energy or water supply
    • 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
    • H02J3/008—Circuit arrangements for ac mains or ac distribution networks involving trading of energy or energy transmission rights
    • 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
    • H02J3/38—Arrangements for parallely feeding a single network by two or more generators, converters or transformers
    • H02J3/381—Dispersed generators
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2113/00—Details relating to the application field
    • G06F2113/04—Power grid distribution 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
    • H02J2203/10—Power transmission or distribution systems management focussing at grid-level, e.g. load flow analysis, node profile computation, meshed network optimisation, active network management or spinning reserve management
    • 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]
    • 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
    • H02J2310/00—The network for supplying or distributing electric power characterised by its spatial reach or by the load
    • H02J2310/50—The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads
    • H02J2310/56—The network for supplying or distributing electric power characterised by its spatial reach or by the load for selectively controlling the operation of the loads characterised by the condition upon which the selective controlling is based
    • H02J2310/58—The condition being electrical
    • H02J2310/60—Limiting power consumption in the network or in one section of the network, e.g. load shedding or peak shaving

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Abstract

The invention discloses a method, a device, equipment and a storage medium for determining a grid frame of a power distribution network, belonging to the technical field of power grids, wherein the method comprises the following steps: determining a net rack to be planned according to the original net rack and the load node to be planned; the grid to be planned comprises connectable lines between the electrical load nodes to be planned and connectable lines between the end nodes in the original grid and the electrical load nodes to be planned; determining a line to be connected from connectable lines to obtain a net rack set to be optimized; according to the length of the line to be connected, the net loss to be optimized of the net rack set to be optimized, the original net loss of the original net rack and the node voltage of the nodes in the net rack to be optimized, the predicted operation cost of the net rack set to be optimized is determined; and determining the target net rack from the net rack set to be optimized according to the predicted running cost.

Description

Power distribution network rack determining method, device, equipment and storage medium
Technical Field
The present invention relates to the field of power grid technologies, and in particular, to a method, an apparatus, a device, and a storage medium for determining a grid frame of a power distribution network.
Background
The task of the medium-voltage distribution network frame expansion planning is to reasonably upgrade the power grid structure according to load increase and power distribution on the premise of ensuring safe and reliable power supply to users, and the construction and operation cost of the power grid is reduced to the minimum as much as possible.
Along with the increasing shortage of urban line corridor, construction limit is gradually increased, the existing power distribution network frame expansion method is difficult to adapt to the current complex situation, and particularly in the power distribution network frame expansion planning containing photovoltaics, the influence of photovoltaic access on network frame planning economy and reliability in the whole planning process is difficult to fully consider, so that the cost of the power distribution network frame in the construction and operation processes is increased.
Disclosure of Invention
The invention provides a method, a device, equipment and a storage medium for determining a grid frame of a power distribution network, so as to reduce the cost of the grid frame of the power distribution network in the construction and operation processes.
According to an aspect of the present invention, there is provided a method for determining a grid rack of a power distribution network, the method comprising:
determining a net rack to be planned according to the original net rack and the load node to be planned; the grid to be planned comprises connectable lines between the electrical load nodes to be planned and connectable lines between the end nodes in the original grid and the electrical load nodes to be planned;
Determining a line to be connected from connectable lines to obtain a net rack set to be optimized;
according to the length of the line to be connected, the net loss to be optimized of the net rack set to be optimized, the original net loss of the original net rack and the node voltage of the nodes in the net rack to be optimized, the predicted operation cost of the net rack set to be optimized is determined;
and determining the target net rack from the net rack set to be optimized according to the predicted running cost.
According to another aspect of the present invention, there is provided a power distribution network rack determining apparatus, including:
the network frame to be planned determining module is used for determining the network frame to be planned according to the original network frame and the load node to be planned; the grid to be planned comprises connectable lines between the electrical load nodes to be planned and connectable lines between the end nodes in the original grid and the electrical load nodes to be planned;
the network rack set to be optimized determining module is used for determining a line to be connected from connectable lines to obtain a network rack set to be optimized;
the prediction operation cost determining module is used for determining the prediction operation cost of the net rack to be optimized in the net rack set to be optimized according to the length of the line to be connected, the net loss to be optimized of the net rack to be optimized in the net rack set to be optimized, the original net loss of the original net rack and node voltage of nodes in the net rack to be optimized;
And the target net rack determining module is used for determining the target net rack from the net rack set to be optimized according to the predicted running cost.
According to another aspect of the present invention, there is provided an electronic apparatus including:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the method of grid rack determination of the power distribution network of any one of the embodiments of the present invention.
According to another aspect of the present invention, there is provided a computer readable storage medium storing computer instructions for causing a processor to perform the method for determining a grid rack for a power distribution network according to any one of the embodiments of the present invention.
According to the technical scheme, the grid to be planned is determined according to the original grid and the load nodes to be planned; the grid to be planned comprises connectable lines between the electrical load nodes to be planned and connectable lines between the end nodes in the original grid and the electrical load nodes to be planned; determining a line to be connected from connectable lines to obtain a net rack set to be optimized; according to the length of the line to be connected, the net loss to be optimized of the net rack set to be optimized, the original net loss of the original net rack and the node voltage of the nodes in the net rack to be optimized, the predicted operation cost of the net rack set to be optimized is determined; and determining the target net rack from the net rack set to be optimized according to the predicted running cost. According to the technical scheme, after the grid set to be optimized is determined, the predicted operation cost of the grid set to be optimized is determined according to the length of the line to be connected, the grid loss to be optimized of the grid set to be optimized, the original grid loss of the original grid and the node voltage of the nodes in the grid set to be optimized, the length of the line to be connected, the grid loss to be optimized of the grid set to be optimized, the original grid loss of the original grid and the cost influence of the node voltage of the nodes in the grid set to be optimized on the power distribution network are comprehensively considered, so that the target grid set determined from the grid set to be optimized according to the predicted operation cost is more reliable, the construction cost of the target grid is reduced, the operation cost of the target grid is reduced, and the cost of the power distribution network in construction and operation processes is reduced.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the invention or to delineate the scope of the invention. Other features of the present invention will become apparent from the description that follows.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only 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. 1A is a flowchart of a method for determining a grid rack of a power distribution network according to a first embodiment of the present invention;
fig. 1B is a schematic structural view of an original grid according to a first embodiment of the present invention;
fig. 1C is a schematic structural diagram of a rack to be planned according to a first embodiment of the present invention;
fig. 1D is a schematic structural diagram of a grid set to be optimized according to a first embodiment of the present invention;
fig. 1E is a schematic structural diagram of a target rack according to a first embodiment of the present invention;
Fig. 2 is a flowchart of a method for determining a grid rack of a power distribution network according to a second embodiment of the present invention;
fig. 3 is a schematic structural diagram of a power distribution network rack determining device according to a third embodiment of the present invention;
fig. 4 is a schematic structural diagram of an electronic device for implementing the method for determining a grid rack of a power distribution network according to an embodiment of the present invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
It should be noted that the terms "original," "target," "first," and "second," etc. in the description and claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
In addition, it should be noted that, in the technical scheme of the invention, the related processes of collection, storage, use, processing, transmission, provision, disclosure and the like of the original net rack, the load node to be planned and the like all conform to the regulations of the related laws and regulations and do not violate the popular regulations of the public order.
In order to facilitate understanding, a Prim algorithm-based power distribution network frame determination method is briefly introduced, a final power distribution network frame is determined according to edge weights among nodes in network frame lines, although network frame lines with lowest construction cost in a power distribution network can be determined, connectivity and stability of a whole power system are guaranteed, the edge weights of the network frame lines of the power distribution network are required to be defined in advance, and directional power flow calculation is required to be performed for each time of different network frame connection of a multi-source network containing photovoltaic so as to obtain an operation state, so that calculation efficiency is low, and cost influence of the photovoltaic nodes in the network frame on the determination of the power distribution network frame is not considered.
Example 1
Fig. 1A is a flowchart of a power distribution network rack determining method according to an embodiment of the present invention, where the method may be performed by a power distribution network rack determining device, and the device may be implemented in hardware and/or software, and may be configured in an electronic device, and the electronic device may be a power distribution network workbench. As shown in fig. 1A, the method includes:
S101, determining a net rack to be planned according to an original net rack and a load node to be planned; the grid to be planned comprises connectable lines between the electrical load nodes to be planned and connectable lines between the end nodes in the original grid and the electrical load nodes to be planned.
The original grid is a planned grid, and can be understood as an initial power distribution network grid obtained according to the electric loop strengthening coding rule. It should be noted that the original net rack includes original nodes and connected lines between the original nodes. Wherein, the original node refers to the node existing in the original net rack. Optionally, the original nodes include a power source node, a photovoltaic node, and a powered load node. Wherein, the power supply node refers to a node for providing power supply; photovoltaic nodes refer to nodes that directly convert solar radiation energy into electrical energy; the powered load node refers to a load node that has been powered up.
The load nodes to be planned are load nodes for expanding and planning the original net rack, namely, newly added load nodes to be added into the original net rack. The grid to be planned refers to a power distribution network grid which needs grid planning. Connectable lines refer to lines that can be connected between adjacent nodes. End nodes refer to nodes located at the end of the original rack, such as node 4, node 7, and node 9 in fig. 1B. Note that, in fig. 1B, node 1 is a power supply node, node 7 is a photovoltaic node, and the other nodes are all powered load nodes.
Specifically, the load node to be planned can be randomly connected with the end node in the original net rack based on the principle that lines do not cross, so as to obtain the net rack to be planned.
Optionally, merging the power supply load nodes in the original network frame based on the distance between the load node to be planned and the power supply load nodes in the original network frame to obtain a merged network frame; and determining the network frame to be planned based on the distance between the load nodes to be planned and the distance between the nodes in the combined network frame and the load nodes to be planned.
The combined network frame is a power distribution network frame obtained by combining a part of power supply load nodes in the original network frame.
Specifically, the distance between the load node to be planned and the supplied load node in the original net rack in the same horizontal direction can be calculated respectively, and the supplied load node closest to the load node to be planned is reserved as the closest supplied node; meanwhile, key power-supplied load nodes in the original net rack are reserved; combining other powered load nodes in the same horizontal direction with the nearest powered node in the horizontal direction to obtain a combined grid; based on the node nearby communication principle, connecting two adjacent nodes according to the distance between the load nodes to be planned and the distance between the end nodes in the combined network frame and the load nodes to be planned, and obtaining the network frame to be planned.
It should be noted that, two adjacent nodes may be load nodes to be planned, or may be nodes in the combined network frame, and one node is a load node to be planned.
Taking the original grid frame of fig. 1B as an example, the load nodes already supplied in the original grid frame are load nodes except for the node 1 and the node 7 in fig. 1B, and 9 load nodes to be planned exist, namely, a node 10, a node 11, a node 12, a node 13, a node 14, a node 15, a node 16, a node 17 and a node 18; distances between the load node to be planned and the supplied load nodes in the original grid in the same horizontal direction can be calculated respectively, for example, distances between the node to be planned and the nodes 3 and 4 in the original grid are calculated respectively, and the supplied load node closest to the load node to be planned is reserved and used as the closest supplied node, namely the nodes 4, 6 and 9 in fig. 1B; while preserving the critical powered load nodes in the original rack, namely node 2 in fig. 1B; combining the node 3 and the node 4 in the original net rack, combining the node 5 and the node 6 in the original net rack, and combining the node 8 and the node 9 in the original net rack to obtain a combined net rack, namely the combined net rack with the real coils in fig. 1C; based on the principle of node nearby communication, according to the distance between the load nodes to be planned and the distance between the end nodes (namely the node 4, the node 7 and the node 9 in fig. 1C) in the combined network frame and the load nodes to be planned, connecting the adjacent two nodes to obtain the network frame to be planned (see fig. 1C).
It should be noted that, in the process of expanding and planning the original grid, only the nearest supplied load to the load node to be planned will affect the grid expansion and planning, so that part of the supplied load nodes in the original grid can be combined based on the above criteria.
It can be understood that the power supply load nodes in the original grid frame are combined based on the distance between the load nodes to be planned and the power supply load nodes in the original grid frame, so that a combined grid frame is obtained, the calculated amount in the determining process of the power distribution network frame is reduced, and the convenience in the determining process of the power distribution network frame is improved; meanwhile, the network frame to be planned is determined based on the distance between the load nodes to be planned and the distance between the nodes in the combined network frame and the load nodes to be planned, so that the cost problem in the process of constructing the network frame to be planned is fully considered, the network frame to be planned is determined according to the principle of nearby node communication, and the cost in the process of constructing the network frame to be planned is effectively reduced.
Optionally, determining combinable load nodes from the powered load nodes in the original grid based on the distance between the load nodes to be planned and the powered load nodes in the original grid; merging the mergeable load nodes to obtain merged load nodes; and determining the combined network frame according to the combined load node and the node which does not participate in the combination in the original network frame.
The combinable load nodes refer to the power supply load nodes which can be combined in the original network frame. The merged load node is a load node obtained by merging the merged load nodes.
Specifically, calculating the distance between the load node to be planned and the power-supplied load node in the original grid, and extracting the power-supplied load node corresponding to the shortest distance from the distance; meanwhile, according to the importance degree of the power supply load nodes in the original network frame to the expansion planning of the network frame of the power distribution network, the combinable load nodes are determined from the power supply load nodes in the original network frame; merging the mergeable load nodes based on a nearby principle among the mergeable load nodes to obtain merged load nodes; and connecting the combined load nodes with nodes which do not participate in combination in the original network frame according to the connection relation between the nodes in the original network frame to obtain the combined network frame.
Taking the original grid frame of fig. 1B as an example, the load nodes already supplied in the original grid frame are load nodes except for the node 1 and the node 7 in fig. 1B, and the existing 9 load nodes to be planned are respectively node 10, node 11, node 12, node 13, node 14, node 15, node 16, node 17 and node 18; calculating the distance between the load node to be planned and the power-supplied load node in the original net rack, and extracting the power-supplied load node corresponding to the shortest distance from the distance; meanwhile, according to the importance degree of the power supply load nodes in the original network frame to the expansion planning of the network frame of the power distribution network, the combinable load nodes, namely the node 3, the node 4, the node 5, the node 6, the node 8 and the node 9 in the figure 1B, are determined from the power supply load nodes in the original network frame; based on the principle of nearby mergeable load nodes, merging node 3 and node 4 in FIG. 1B, merging node 5 and node 6 in FIG. 1B, and merging node 8 and node 9 in FIG. 1B to obtain merged load nodes, namely node 4, node 6 and node 9 in FIG. 1C; and connecting the combined load nodes with nodes which do not participate in combination in the original network frame (namely, nodes 1, 2 and 7 in the figure 1B) according to the connection relation between the nodes in the original network frame, namely, the connection relation between the nodes in the figure 1B, so as to obtain the combined network frame, namely, the combined network frame in the figure 1C.
It will be appreciated that the combinable load nodes are determined from the powered load nodes in the original grid according to the distance between the load node to be planned and the powered load nodes in the original grid; combining the combinable load nodes to obtain combined load nodes; and determining the merging network frame according to the merging load nodes and the nodes which do not participate in merging in the original network frame, further refining the determination process of the merging network frame, merging the merging load nodes by determining the merging load nodes in the original network frame, and reducing the connected circuits in the original network frame, thereby reducing the calculation amount in the subsequent determination process of the power distribution network frame and increasing the convenience in the determination process of the power distribution network frame.
S102, determining a line to be connected from the connectable lines to obtain a net rack set to be optimized.
The connectable lines comprise connectable lines between to-be-planned electrical load nodes in the to-be-planned grid and connectable lines between end nodes in the original grid and the to-be-planned electrical load nodes. The lines to be connected refer to the connectable lines selected from the net rack to be planned. The grid set to be optimized refers to a set of grid frames of the power distribution network, which need to be subjected to line optimization.
Specifically, determining a line to be connected from connectable lines in the net rack to be planned based on a preset probability selection algorithm; and determining a net rack set to be optimized according to the lines to be connected and the connected lines in the net racks to be planned.
Taking the net rack to be planned of fig. 1C as an example, the connectable lines are lines connected by the dashed lines in fig. 1C, and based on a preset probability selection algorithm, the lines to be connected (4, 10), the lines to be connected (10, 11), the lines to be connected (11, 13), the lines to be connected (13, 15), the lines to be connected (7, 14), the lines to be connected (14, 17), the lines to be connected (17, 16), the lines to be connected (9, 12) and the lines to be connected (12, 18) are selected from the connectable lines in fig. 1C; from these wires to be connected, and the wires already connected in the rack to be planned (i.e., the wires connected by the solid lines in fig. 1C), a rack set to be optimized is determined (see fig. 1D).
S103, determining the predicted operation cost of the net rack to be optimized in the net rack set to be optimized according to the length of the line to be connected, the net loss to be optimized of the net rack to be optimized in the net rack set to be optimized, the original net loss of the original net rack and node voltage of nodes in the net rack to be optimized.
The grid to be optimized refers to a grid of the power distribution network, which needs to be subjected to line optimization. The network loss to be optimized refers to the network loss of the network frame to be optimized. The original net loss refers to the net loss of the original net rack. Node voltage refers to the voltage of the nodes in the net rack to be optimized. The predicted running cost refers to the predicted running loss cost of the net rack to be optimized.
Specifically, a Q-Learning reinforcement Learning algorithm based on a Prim algorithm is used for determining the predicted operation cost of the net rack to be optimized in the net rack set to be optimized according to the length of the line to be connected, the net loss to be optimized of the net rack to be optimized in the net rack set to be optimized, the original net loss of the original net rack and the node voltage of the nodes in the net rack to be optimized.
It can be understood that the Q-Table of the Q-Learning reinforcement Learning algorithm fused with the Prim algorithm is utilized to replace the edge weight in the Prim algorithm, under the initial condition, the primary planning is carried out on the net rack to be optimized in the net rack set to be optimized based on the basic electric loop reinforcement coding principle, then the net rack to be optimized in the net rack set to be optimized is planned through one-time trial of the Q-Learning, the predicted operation cost of the net rack to be optimized in the net rack set to be optimized is continuously calculated, and the value in the Q-Table is updated in real time, so that the predicted operation cost of the net rack to be optimized in the net rack set to be optimized is determined according to the value of the Q-Table, the Q-Learning reinforcement Learning algorithm fused with the Prim algorithm is trained in a solution space through fixed search action, the search space is reduced, the calculation difficulty is reduced, and the calculation efficiency of the predicted operation cost of the net rack to be optimized in the net rack set to be optimized is improved; meanwhile, the problem of data structure storage of the grid frame of the power distribution network is solved by utilizing the basic electric loop reinforcement coding, the problem environment of grid frame planning can be effectively converted, the memory is saved, and the calculation speed is accelerated.
S104, determining a target net rack from the net rack set to be optimized according to the predicted operation cost.
The target net rack refers to a net rack to be optimized, wherein the net rack to be optimized is concentrated, and the predicted running cost is the lowest.
Specifically, the predicted operation costs of the racks to be optimized are counted in the rack set to be optimized, and the rack to be optimized with the lowest predicted operation cost is extracted from the predicted operation costs to serve as a target rack, for example, the target rack in fig. 1E.
According to the technical scheme, the grid to be planned is determined according to the original grid and the load nodes to be planned; the grid to be planned comprises connectable lines between the electrical load nodes to be planned and connectable lines between the end nodes in the original grid and the electrical load nodes to be planned; determining a line to be connected from connectable lines to obtain a net rack set to be optimized; according to the length of the line to be connected, the net loss to be optimized of the net rack set to be optimized, the original net loss of the original net rack and the node voltage of the nodes in the net rack to be optimized, the predicted operation cost of the net rack set to be optimized is determined; and determining the target net rack from the net rack set to be optimized according to the predicted running cost. According to the technical scheme, after the grid set to be optimized is determined, the predicted operation cost of the grid set to be optimized is determined according to the length of the line to be connected, the grid loss to be optimized of the grid set to be optimized, the original grid loss of the original grid and the node voltage of the nodes in the grid set to be optimized, the length of the line to be connected, the grid loss to be optimized of the grid set to be optimized, the original grid loss of the original grid and the cost influence of the node voltage of the nodes in the grid set to be optimized on the power distribution network are comprehensively considered, so that the target grid set determined from the grid set to be optimized according to the predicted operation cost is more reliable, the construction cost of the target grid is reduced, the operation cost of the target grid is reduced, and the cost of the power distribution network in construction and operation processes is reduced.
Example two
Fig. 2 is a flowchart of a method for determining a grid structure of a power distribution network according to a second embodiment of the present invention, where the embodiment further optimizes "determining a predicted running cost of a grid structure to be optimized in a grid structure set to be optimized according to a length of a line to be connected, a grid loss to be optimized of the grid structure set to be optimized, an original grid loss of an original grid structure, and node voltages of nodes in the grid structure to be optimized" based on the above embodiment. In the embodiments of the present invention, parts not described in detail may be referred to for related expressions of other embodiments. As shown in fig. 2, the method includes:
s201, determining a net rack to be planned according to an original net rack and a load node to be planned; the grid to be planned comprises connectable lines between the electrical load nodes to be planned and connectable lines between the end nodes in the original grid and the electrical load nodes to be planned.
S202, determining a line to be connected from the connectable lines to obtain a net rack set to be optimized.
S203, determining the line connection cost of the net rack to be optimized in the net rack set to be optimized according to the length of the line to be connected and the connection cost coefficient.
The connection cost coefficient is used for determining the line connection cost of the net rack to be optimized in the net rack set to be optimized, and the line connection cost can be obtained through experiments or can be randomly designated.
Specifically, calculating the product of the length of the line to be connected in the net rack to be optimized and the connection cost coefficient, and taking the product of the product and minus one as the line connection cost of the net rack to be optimized; the circuit connection cost of the net rack to be optimized in the net rack set to be optimized can be determined by the following formula:
r 1 ＝-ρ*dis(i,j)
wherein r is 1 For the line connection cost of the net rack to be optimized, ρ is the connection cost coefficient, and dis (i, j) is the length of the line to be connected in the net rack to be optimized.
S204, determining the net rack operation net loss of the net rack to be optimized according to the net loss to be optimized of the net rack set to be optimized and the original net loss of the original net rack.
The grid to be optimized refers to a grid of the power distribution network, which needs to be subjected to line optimization. The network loss to be optimized refers to the network loss of the network frame to be optimized. The original net loss refers to the net loss of the original net rack. The network loss of the grid frame operation refers to the network loss in the grid frame operation process to be optimized.
Specifically, the net loss to be optimized of the net rack to be optimized and the original net loss of the original net rack are input into a preset net rack operation net loss model to obtain the net rack operation net loss of the net rack to be optimized.
It should be noted that, the preset net rack operation net loss model is used for calculating net rack operation net loss of the net rack to be optimized, and may be preset according to actual service requirements, for example, the preset net rack operation net loss model may be a net rack operation net loss model based on a root mean square current method.
Optionally, determining a net loss difference value according to the net loss to be optimized of the net rack to be optimized and the original net loss of the original net rack; and determining the net rack operation net loss of the net rack to be optimized according to the net loss difference value, the scene number and the net loss coefficient.
The network loss difference value refers to the difference value between the network loss to be optimized of the network frame to be optimized and the original network loss of the original network frame. The number of scenes refers to the total number of application scenes for which the grid to be optimized is applicable. The network loss coefficient is used for determining the network loss of the network frame operation of the network frame to be optimized, and can be obtained through experiments or can be randomly designated, and the embodiment of the invention is not particularly limited.
Specifically, calculating a difference value between the network loss to be optimized of the network frame to be optimized and the original network loss of the original network frame, and taking the difference value as a network loss difference value; the network loss difference value at the time t can be determined by the following formula:
ΔP t ＝P t -P 0
wherein DeltaP t As the network loss difference value at the time t, P t To-be-optimized net loss of net rack to be optimized at time t, P 0 Is the original net loss of the original net rack.
Further, according to the network loss difference value, the scene number and the network loss coefficient, the network loss of the network frame operation of the network frame to be optimized is determined through the following formula:
wherein r is 2 For the net rack operation net loss of the net rack to be optimized, omega is a net loss coefficient, S is the scene number, M is the total number of connected load nodes to be planned in the net rack to be optimized, and DeltaP t The difference value of the network loss at the time t.
It can be understood that the network frame operation network loss of the network frame to be optimized is determined according to the network loss difference value, the scene number and the network loss coefficient, so that the application scene of the network frame to be optimized is considered, the influence of the density of the load nodes to be planned in the network frame to be optimized on the network frame operation network loss of the network frame to be optimized is considered, the strong adaptability of the network frame to be optimized to the environment is improved, and the accuracy and the reliability of the network frame operation network loss of the network frame to be optimized are improved.
S205, determining the voltage loss of the grid to be optimized according to the standard voltage and the node voltage of the nodes in the grid to be optimized.
The standard voltage is the standard voltage corresponding to the node in the net rack to be optimized. It should be noted that the standard voltages corresponding to all nodes in the grid to be optimized are the same. Node voltage refers to the voltage of the nodes in the net rack to be optimized. The voltage loss refers to the sum of the voltage losses of all nodes in the net rack to be optimized.
Specifically, the standard voltage and the node voltage of the node in the net rack to be optimized are input into a preset voltage loss calculation model, and the voltage loss of the net rack to be optimized is obtained.
It should be noted that, the preset voltage loss calculation model is used for calculating the voltage loss of the grid to be optimized, and may be preset according to the actual service requirement, for example, the preset voltage loss calculation model may be a voltage loss calculation model based on ohm's law and kirchhoff's voltage law.
Optionally, determining a voltage difference according to the standard voltage and node voltage of the nodes in the grid to be optimized; and determining the voltage loss of the grid to be optimized according to the voltage difference value and the voltage coefficient.
The voltage difference is the difference between the index voltage and the node voltage of the node in the net rack to be optimized. The voltage coefficient is used for determining the voltage loss of the grid to be optimized, can be obtained through experiments, and can be randomly designated, and the embodiment of the invention does not limit the voltage loss.
Specifically, for an ith node in the grid to be optimized, calculating a difference value between the standard voltage and the node voltage of the node, and taking the difference value as a voltage difference value of the node; the voltage difference of the ith node in the grid to be optimized can be determined by the following formula:
ΔV i ＝V i -V std
wherein DeltaV i V is the voltage difference of the ith node in the net rack to be optimized i For the node voltage of the ith node in the net rack to be optimized, V std Is a standard voltage. Same reasonThe voltage difference of other nodes except the ith node in the grid to be optimized can be obtained.
And further, according to the voltage difference value and the voltage coefficient of each node in the optimized net rack, determining the voltage loss of the net rack to be optimized through the following formula:
Wherein r is 3 For the voltage loss of the net rack to be optimized, eta is a voltage coefficient, T is the total number of nodes in the net rack to be optimized, and DeltaV i The voltage difference of the ith node in the net rack to be optimized is obtained.
It can be understood that the voltage difference value of each node in the net rack to be optimized is determined by taking the standard voltage as a reference, so that the determination of the voltage difference value is more scientific and reasonable; meanwhile, according to the voltage difference value and the voltage coefficient of each node in the net rack to be optimized, the voltage loss of the net rack to be optimized is determined, so that the obtained voltage loss of the net rack to be optimized is more accurate.
S206, determining the predicted operation cost of the grid to be optimized according to the line connection cost, the grid operation loss and the voltage loss.
Specifically, the line connection cost, the net rack operation net loss and the voltage loss are input into a preset operation cost prediction model, and the predicted operation cost of the net rack to be optimized is obtained.
It should be noted that the preset running cost prediction model may be preset according to an actual service requirement, for example, the preset running cost prediction model may be a running cost prediction model based on a neural network model.
Optionally, if the tide calculation of the grid to be optimized is successful, taking the sum of the line connection cost, the grid operation loss and the voltage loss as the predicted operation cost of the grid to be optimized; if the power flow calculation of the net rack to be optimized fails, the preset net loss value is used as the predicted running cost of the net rack to be optimized.
The power flow calculation is to determine the steady state operation state parameters of each part of the power system according to the given power grid structure, parameters, load and other operation conditions. It should be noted that, the rule of power flow calculation is preset according to the actual service requirement. The success of the tide calculation means that parameters of all nodes in the net rack to be optimized in a stable running state are successfully calculated. Correspondingly, the failure of the power flow calculation means that the parameter of any node in the grid to be optimized in the stable running state is not calculated. The preset net loss value can be obtained through experiments or can be randomly designated, and the embodiment of the invention does not limit the net loss value specifically.
Specifically, under the condition that the tide calculation of the net rack to be optimized is successful, the sum of the line connection cost, the net rack operation net loss and the voltage loss can be used as the prediction operation cost of the net rack to be optimized; the predicted running cost of the grid to be optimized can be determined by the following formula:
r＝r 1 +r 2 +r 3
wherein r is the predicted running cost of the grid to be optimized, and r 1 R for the net rack to be optimized 2 For the net frame operation loss of the net frame to be optimized, r 3 The voltage loss of the grid to be optimized is achieved.
The preset net loss value can be used as the predicted running cost of the net rack to be optimized under the condition that the power flow calculation of the net rack to be optimized fails; the predicted running cost of the grid to be optimized can be determined by the following formula:
r＝-C 0
Wherein r is the predicted running cost of the net rack to be optimized, -C 0 The network loss value is preset.
It can be understood that the line connection cost, the network frame operation network loss and the voltage loss of the network frame to be optimized are closely related to the prediction operation cost of the network frame to be optimized, the line connection cost and the network frame operation network loss of the network frame to be optimized are main optimization indexes for completing the power supply task of the load node to be planned in the determining process of the network frame of the power distribution network, the voltage loss of the network frame to be optimized is an important optimization index in the operation of the subsequent network frame of the power distribution network, and the sum of the line connection cost, the network frame operation network loss and the voltage loss is used as the prediction operation cost of the network frame to be optimized under the condition that the power flow calculation of the network frame to be optimized is successful; under the condition that the power flow calculation of the net rack to be optimized fails, the preset net loss value is used as the predicted operation cost of the net rack to be optimized, and the predicted operation cost of the net rack to be optimized is determined through different methods under different conditions, so that the obtained predicted operation cost of the net rack to be optimized is more accurate, and the target net rack can be conveniently and accurately determined later.
S207, determining a target grid frame from the grid frame set to be optimized according to the predicted operation cost.
According to the technical scheme of the embodiment of the invention, the line connection cost of the net rack to be optimized in the net rack set to be optimized is determined according to the length of the line to be connected and the connection cost coefficient; determining the net rack operation net loss of the net rack to be optimized according to the net loss to be optimized of the net rack set to be optimized and the original net loss of the original net rack; determining the voltage loss of the grid to be optimized according to the standard voltage and the node voltage of the nodes in the grid to be optimized; and determining the predicted operation cost of the grid to be optimized according to the line connection cost, the grid operation loss and the voltage loss. According to the technical scheme, the predicted operation cost of the grid to be optimized is further determined by determining the line connection cost, the grid operation loss and the voltage loss of the grid to be optimized in the grid set to be optimized, the economy and the reliability of the grid operation process of the power distribution network are comprehensively considered, and the in-situ digestion capacity of the photovoltaic energy is better exerted.
Example III
Fig. 3 is a schematic structural diagram of a power distribution network rack determining device according to a third embodiment of the present invention, where the embodiment is applicable to the case of performing expansion planning on a power distribution network rack, and the device may be implemented in a hardware and/or software form, and may be configured in an electronic device, where the electronic device may be a power distribution network workbench. As shown in fig. 3, the apparatus includes:
The grid to be planned determining module 301 is configured to determine a grid to be planned according to the original grid and the load node to be planned; the grid to be planned comprises connectable lines between the electrical load nodes to be planned and connectable lines between the end nodes in the original grid and the electrical load nodes to be planned;
the grid set to be optimized determining module 302 is configured to determine a line to be connected from connectable lines, and obtain a grid set to be optimized;
the predicted running cost determining module 303 is configured to determine the predicted running cost of the rack to be optimized in the rack set to be optimized according to the length of the line to be connected, the loss of the rack to be optimized in the rack set to be optimized, the loss of the original rack, and the node voltage of the node in the rack to be optimized;
the target rack determining module 304 is configured to determine a target rack from the set of racks to be optimized according to the predicted running cost.
According to the technical scheme, the grid to be planned is determined according to the original grid and the load nodes to be planned; the grid to be planned comprises connectable lines between the electrical load nodes to be planned and connectable lines between the end nodes in the original grid and the electrical load nodes to be planned; determining a line to be connected from connectable lines to obtain a net rack set to be optimized; according to the length of the line to be connected, the net loss to be optimized of the net rack set to be optimized, the original net loss of the original net rack and the node voltage of the nodes in the net rack to be optimized, the predicted operation cost of the net rack set to be optimized is determined; and determining the target net rack from the net rack set to be optimized according to the predicted running cost. According to the technical scheme, after the grid set to be optimized is determined, the predicted operation cost of the grid set to be optimized is determined according to the length of the line to be connected, the grid loss to be optimized of the grid set to be optimized, the original grid loss of the original grid and the node voltage of the nodes in the grid set to be optimized, the length of the line to be connected, the grid loss to be optimized of the grid set to be optimized, the original grid loss of the original grid and the cost influence of the node voltage of the nodes in the grid set to be optimized on the power distribution network are comprehensively considered, so that the target grid set determined from the grid set to be optimized according to the predicted operation cost is more reliable, the construction cost of the target grid is reduced, the operation cost of the target grid is reduced, and the cost of the power distribution network in construction and operation processes is reduced.
Optionally, the grid to be planned determining module 301 includes:
the combined network frame determining unit is used for combining the power supply load nodes in the original network frame based on the distance between the load nodes to be planned and the power supply load nodes in the original network frame to obtain a combined network frame;
and the network frame to be planned determining unit is used for determining the network frame to be planned based on the distance between the load nodes to be planned and the distance between the nodes in the combined network frame and the load nodes to be planned.
Optionally, the merging net rack determining unit is specifically configured to:
determining combinable load nodes from the supplied load nodes in the original network frame based on the distance between the load nodes to be planned and the supplied load nodes in the original network frame;
merging the mergeable load nodes to obtain merged load nodes;
and determining the combined network frame according to the combined load node and the node which does not participate in the combination in the original network frame.
Optionally, the prediction running cost determining module 303 includes:
the connection cost determining unit is used for determining the line connection cost of the net rack to be optimized in the net rack set to be optimized according to the length of the line to be connected and the connection cost coefficient;
the operation network loss determining unit is used for determining the network frame operation network loss of the network frame to be optimized according to the network loss to be optimized of the network frame to be optimized and the original network loss of the original network frame;
The voltage loss determining unit is used for determining the voltage loss of the grid to be optimized according to the standard voltage and the node voltage of the node in the grid to be optimized;
and the operation cost determining unit is used for determining the predicted operation cost of the grid to be optimized according to the line connection cost, the grid operation loss and the voltage loss.
Optionally, the operation network loss determining unit is specifically configured to:
determining a net loss difference value according to net loss to be optimized of the net rack to be optimized and original net loss of the original net rack;
and determining the net rack operation net loss of the net rack to be optimized according to the net loss difference value, the scene number and the net loss coefficient.
Optionally, the voltage loss determining unit is specifically configured to:
determining a voltage difference value according to the standard voltage and the node voltage of the node in the net rack to be optimized;
and determining the voltage loss of the grid to be optimized according to the voltage difference value and the voltage coefficient.
Optionally, the operation cost determining unit is specifically configured to:
if the tide calculation of the net rack to be optimized is successful, taking the sum of the line connection cost, the net rack operation net loss and the voltage loss as the prediction operation cost of the net rack to be optimized;
if the power flow calculation of the net rack to be optimized fails, the preset net loss value is used as the predicted running cost of the net rack to be optimized.
The power distribution network frame determining device provided by the embodiment of the invention can execute the power distribution network frame determining method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of executing the power distribution network frame determining methods.
Example IV
Fig. 4 shows a schematic diagram of the structure of an electronic device 10 that may be used to implement an embodiment of the invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. Electronic equipment may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 4, the electronic device 10 includes at least one processor 11, and a memory, such as a Read Only Memory (ROM) 12, a Random Access Memory (RAM) 13, etc., communicatively connected to the at least one processor 11, in which the memory stores a computer program executable by the at least one processor, and the processor 11 may perform various appropriate actions and processes according to the computer program stored in the Read Only Memory (ROM) 12 or the computer program loaded from the storage unit 18 into the Random Access Memory (RAM) 13. In the RAM13, various programs and data required for the operation of the electronic device 10 may also be stored. The processor 11, the ROM12 and the RAM13 are connected to each other via a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.
Various components in the electronic device 10 are connected to the I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, etc.; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, an optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.
The processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, digital Signal Processors (DSPs), and any suitable processor, controller, microcontroller, etc. The processor 11 performs the various methods and processes described above, such as the grid rack determination method.
In some embodiments, the grid rack determination method may be implemented as a computer program tangibly embodied on a computer-readable storage medium, such as the storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 10 via the ROM12 and/or the communication unit 19. When the computer program is loaded into RAM13 and executed by processor 11, one or more of the steps of the grid rack determination method described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the power distribution grid rack determination method in any other suitable manner (e.g., by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
A computer program for carrying out methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be implemented. The computer program may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) through which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.
The computing system may include clients and servers. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical hosts and VPS service are overcome.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present invention may be performed in parallel, sequentially, or in a different order, so long as the desired results of the technical solution of the present invention are achieved, and the present invention is not limited herein.
The above embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of the present invention.

Claims (10)

1. A method for determining a grid rack of a power distribution network, comprising:
determining a net rack to be planned according to the original net rack and the load node to be planned; the grid frame to be planned comprises connectable lines between the electric load nodes to be planned and connectable lines between the tail end nodes in the original grid frame and the electric load nodes to be planned;
determining a line to be connected from the connectable lines to obtain a net rack set to be optimized;
Determining the predicted operation cost of the net rack to be optimized in the net rack set to be optimized according to the length of the line to be connected, the net loss to be optimized of the net rack to be optimized in the net rack set to be optimized, the original net loss of the original net rack and the node voltage of the nodes in the net rack to be optimized;
and determining a target net rack from the net rack set to be optimized according to the predicted running cost.
2. The method of claim 1, wherein the determining the rack to be planned from the original rack and the load node to be planned comprises:
combining the power supply load nodes in the original network frame based on the distance between the load nodes to be planned and the power supply load nodes in the original network frame to obtain a combined network frame;
and determining the network frame to be planned based on the distance between the load nodes to be planned and the distance between the nodes in the combined network frame and the load nodes to be planned.
3. The method of claim 2, wherein merging the powered load nodes in the original grid based on the distance between the to-be-planned load node and the powered load nodes in the original grid, to obtain a merged grid, comprises:
Determining combinable load nodes from the supplied load nodes in the original network frame based on the distance between the load nodes to be planned and the supplied load nodes in the original network frame;
merging the mergeable load nodes to obtain merged load nodes;
and determining the merging network frame according to the merging load node and the node which does not participate in merging in the original network frame.
4. The method of claim 1, wherein the determining the predicted operating cost of the rack to be optimized in the rack set to be optimized based on the length of the line to be connected, the loss to be optimized of the rack to be optimized in the rack set to be optimized, the loss to be original of the original rack, and the node voltage of the nodes in the rack to be optimized comprises:
determining the line connection cost of the net rack to be optimized in the net rack set to be optimized according to the length of the line to be connected and the connection cost coefficient;
determining the net rack operation net loss of the net rack to be optimized according to the net loss to be optimized of the net rack set to be optimized and the original net loss of the original net rack;
determining the voltage loss of the grid to be optimized according to the standard voltage and the node voltage of the node in the grid to be optimized;
And determining the predicted operation cost of the grid to be optimized according to the line connection cost, the grid operation loss and the voltage loss.
5. The method of claim 4, wherein the determining the grid operation grid loss of the grid to be optimized according to the grid loss to be optimized in the grid set to be optimized and the original grid loss of the original grid comprises:
determining a net loss difference value according to the net loss to be optimized of the net rack to be optimized and the original net loss of the original net rack;
and determining the net rack operation net loss of the net rack to be optimized according to the net loss difference value, the scene number and the net loss coefficient.
6. The method of claim 4, wherein determining the voltage loss of the rack to be optimized based on the standard voltage and the node voltage of the nodes in the rack to be optimized comprises:
determining a voltage difference value according to the standard voltage and the node voltage of the node in the grid to be optimized;
and determining the voltage loss of the grid to be optimized according to the voltage difference value and the voltage coefficient.
7. The method of claim 4, wherein determining the predicted operating cost of the rack to be optimized based on the line connection cost, the rack operating grid loss, and the voltage loss comprises:
If the tide calculation of the net rack to be optimized is successful, taking the sum of the line connection cost, the net rack operation net loss and the voltage loss as the predicted operation cost of the net rack to be optimized;
and if the power flow calculation of the net rack to be optimized fails, taking the preset net loss value as the predicted running cost of the net rack to be optimized.
8. A power distribution network rack determination device, comprising:
the network frame to be planned determining module is used for determining the network frame to be planned according to the original network frame and the load node to be planned; the grid frame to be planned comprises connectable lines between the electric load nodes to be planned and connectable lines between the tail end nodes in the original grid frame and the electric load nodes to be planned;
the grid set to be optimized determining module is used for determining a line to be connected from the connectable lines to obtain a grid set to be optimized;
the prediction operation cost determining module is used for determining the prediction operation cost of the net rack to be optimized in the net rack set to be optimized according to the length of the line to be connected, the net loss to be optimized of the net rack to be optimized in the net rack set to be optimized, the original net loss of the original net rack and the node voltage of the nodes in the net rack to be optimized;
And the target net rack determining module is used for determining the target net rack from the net rack set to be optimized according to the predicted running cost.
9. An electronic device, the electronic device comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the power distribution grid rack determination method of any one of claims 1-7.
10. A computer readable storage medium storing computer instructions for causing a processor to perform the method of determining a grid rack for a power distribution network as claimed in any one of claims 1 to 7.
CN202310805457.9A 2023-07-03 2023-07-03 Power distribution network rack determining method, device, equipment and storage medium Pending CN116845906A (en)

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