CN116882703A - Power distribution network planning determination method, device, equipment and storage medium - Google Patents

Power distribution network planning determination method, device, equipment and storage medium Download PDF

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CN116882703A
CN116882703A CN202310943037.7A CN202310943037A CN116882703A CN 116882703 A CN116882703 A CN 116882703A CN 202310943037 A CN202310943037 A CN 202310943037A CN 116882703 A CN116882703 A CN 116882703A
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electricity
electricity consumption
power
determining
period
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沈瑞锡
廖圣桃
廖粤蓉
陈文其
叶育聪
肖晓慧
曹贵阳
李小欢
徐宝琦
黄江烽
姚铭浩
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Guangdong Power Grid Co Ltd
Huizhou Power Supply Bureau of Guangdong Power Grid Co Ltd
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Guangdong Power Grid Co Ltd
Huizhou Power Supply Bureau of Guangdong Power Grid Co Ltd
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    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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Abstract

The invention discloses a power distribution network planning and determining method, device, equipment and storage medium. The method comprises the following steps: acquiring area historical electricity consumption information corresponding to each electricity consumption area in a power grid area to be planned; for each electricity consumption region, determining the period prediction electricity consumption corresponding to each period of the electricity consumption region according to the region history electricity consumption; based on electricity consumption grouping construction rules, predicting electricity consumption according to time periods corresponding to all electricity consumption areas, determining first electricity groupings, and determining construction costs of transformer substations constructed in each first electricity grouping; the second electricity consumption group with the lowest construction cost in the first electricity consumption group is determined, the optimal target substation address of the substation is accurately determined according to the group area corresponding to the second electricity consumption group, and the distribution network is constructed according to the target substation address, so that the electricity consumption peak-valley influence can be reduced, the electricity dispatching burden is reduced, the electricity supply cost is reduced, and the stable power supply in multiple areas is realized.

Description

Power distribution network planning determination method, device, equipment and storage medium
Technical Field
The present invention relates to the field of power grid planning technologies, and in particular, to a method, an apparatus, a device, and a storage medium for determining power distribution network planning.
Background
The distribution network is composed of overhead lines, cables, towers, distribution transformers, isolating switches, reactive compensators, some auxiliary facilities and the like, and plays a role in distributing electric energy in the power network.
In the electricity utilization process, the electricity utilization peak-valley condition causes larger fluctuation of the power grid output, such as the surge of air conditioner load in summer, and causes short-time deficiency of power supply, and the conventional solution is to increase the power grid electric quantity output.
However, under the condition of insufficient electric quantity, the method cannot be effectively realized, and when the electric quantity output of the power grid is increased, electric quantity loss is easy to occur in the conveying process, the burden of electric power regulation is increased, and the power supply cost is high.
Disclosure of Invention
The invention provides a power distribution network planning and determining method, device, equipment and storage medium, which are used for accurately determining the optimal installation position of a transformer substation, reducing the influence of power consumption peaks and valleys, simultaneously reducing the power dispatching burden, reducing the power supply cost and realizing stable power supply in multiple areas.
According to one aspect of the invention, a power distribution network planning determination method is provided. The method comprises the following steps:
acquiring area historical electricity consumption information corresponding to each electricity consumption area in a power grid area to be planned;
for each electricity consumption region, determining the time period prediction electricity consumption information corresponding to each time period of the electricity consumption region according to the region history electricity consumption information;
based on an electricity consumption grouping construction rule, predicting electricity consumption according to the time periods corresponding to all the electricity consumption areas, determining a first electricity grouping, and determining construction cost of a transformer substation constructed among a plurality of the electricity consumption areas corresponding to each first electricity grouping;
and determining a second power consumption group with the lowest construction cost in the first power consumption group, determining a target substation address of a substation to be constructed according to a grouping area corresponding to the second power consumption group, and constructing a power distribution network according to the target substation address.
According to another aspect of the invention, a power distribution network planning determination device is provided. The device comprises:
the historical electricity consumption information acquisition module is used for acquiring area historical electricity consumption information corresponding to each electricity consumption area in the power grid area to be planned;
the prediction electricity consumption information determining module is used for determining time period prediction electricity consumption information corresponding to each time period of the electricity consumption area according to the historical electricity consumption information of each electricity consumption area;
the power station construction cost determining module is used for predicting power consumption information according to the time periods corresponding to all the power consumption areas based on power consumption group construction rules, determining first power consumption groups and determining construction cost of a transformer substation constructed among a plurality of power consumption areas corresponding to the first power consumption groups;
and the power distribution network planning and construction module is used for determining a second power utilization group with the lowest construction cost in the first power utilization group, determining a target substation address of a substation to be constructed according to a grouping area corresponding to the second power utilization group, and constructing a power distribution network according to the target substation address.
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 power distribution network planning determination method according to 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 implement the power distribution network planning determination method according to any one of the embodiments of the present invention when executed.
According to the technical scheme, the historical power consumption information of the areas corresponding to the power consumption areas in the power grid area to be planned is obtained; for each electricity consumption region, determining the period prediction electricity consumption corresponding to each period of the electricity consumption region according to the region history electricity consumption; based on electricity consumption grouping construction rules, predicting electricity consumption according to time periods corresponding to all electricity consumption areas, determining first electricity groupings, and determining construction costs of transformer substations constructed in each first electricity grouping; the second electricity consumption group with the lowest construction cost in the first electricity consumption group is determined, the optimal target substation address of the substation is accurately determined according to the group area corresponding to the second electricity consumption group, and the distribution network is constructed according to the target substation address, so that the electricity consumption peak-valley influence can be reduced, the electricity dispatching burden is reduced, the electricity supply cost is reduced, and the stable power supply in multiple areas is realized.
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. 1 is a flowchart of a power distribution network planning determination method according to a first embodiment of the present invention;
fig. 2 is a flowchart of a power distribution network planning determination method according to a second embodiment of the present invention;
fig. 3 is a block diagram of a power distribution network planning 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 power distribution network planning determination method 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 "first," "second," and the like in the description and the 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.
Example 1
Fig. 1 is a flowchart of a power distribution network planning determination method according to an embodiment of the present invention. The method may be performed by a power distribution network planning determination device, which may be implemented in hardware and/or software, which may be configured in an electronic device. As shown in fig. 1, the method includes:
s101, acquiring area historical electricity consumption information corresponding to each electricity consumption area in the power grid area to be planned.
It should be noted that the technical scheme of the invention can be applied to the situation of planning and constructing the power distribution network in the power grid area to be planned. Optionally, a model is built for the to-be-regulated power grid area to accurately determine a power distribution network planning and construction scheme. The method comprises the steps of carrying out satellite scanning on an area to be planned of the power distribution network through a power grid planning platform, constructing an equal-proportion three-dimensional model of a corresponding area by utilizing a modeling display unit according to scanning information, dividing and identifying the area in the three-dimensional model according to the difference between civil electricity and commercial electricity by taking a cell as a unit, and displaying an identification result and the corresponding three-dimensional model in a large-scale LED screen so as to facilitate planning of a power distribution network construction scheme.
The power grid area to be planned may refer to an area to be subjected to power distribution network construction. The electricity utilization area may refer to an area where electricity users such as a cell, a village, a factory, etc. in the power grid area to be planned are located. The regional historical electricity consumption information can refer to various kinds of electricity consumption information in a regional historical period of the power grid to be planned.
Specifically, the power consumption data can be requested by an online query mode or from an electric company, so as to obtain the historical power consumption information of the areas corresponding to the power consumption areas in the power grid area to be planned. It should be noted that the grid area to be planned includes at least one electricity utilization area.
S102, determining the time period prediction electricity consumption information corresponding to each time period of the electricity consumption area according to the historical electricity consumption information of each electricity consumption area.
The period prediction electricity consumption information may refer to prediction electricity consumption information of each period of the electricity consumption region.
Specifically, for each electricity consumption region, the electricity consumption information with the largest occurrence number of each period in the preset days in the historical electricity consumption information of the region can be used as the period prediction electricity consumption information corresponding to each period in the electricity consumption region.
Illustratively, the determining the period prediction electricity consumption information corresponding to each period of the electricity consumption region according to the region history electricity consumption information includes: according to the historical electricity consumption information of the area, determining the historical electricity consumption information of the period corresponding to each historical period of the electricity consumption area; and for each historical period, carrying out average calculation on all period historical electricity consumption information in the historical period to obtain a period historical electricity consumption level average value, and determining the period historical electricity consumption level average value as the period prediction electricity consumption information.
The time period historical electricity consumption information may refer to electricity consumption information corresponding to each historical time period of the electricity consumption region.
Specifically, the historical electricity consumption information of the area is analyzed, so that the historical electricity consumption information of the electricity consumption area corresponding to each time period in the past can be obtained. And calculating the average value of the time period history electricity consumption information corresponding to each time period in the preset days, and obtaining the average value of the time period history electricity consumption level. The period history electricity consumption level average may be determined as period prediction electricity consumption information.
Illustratively, the electricity usage region includes a commercial electricity usage region and a residential electricity usage region; the area historical electricity consumption information comprises historical commercial electricity information and historical civil electricity information; the determining the time period prediction electricity consumption information corresponding to each time period of the electricity consumption area according to the area history electricity consumption information comprises the following steps: determining period prediction commercial power information corresponding to each period of the commercial power utilization region according to the historical commercial power information; and determining the period prediction civil electricity information corresponding to each period of the civil electricity utilization area according to the historical civil electricity information.
It should be noted that, the electricity consumption area may include a commercial electricity consumption area and a civil electricity consumption area, and then, for different areas, the area history electricity consumption information is divided into history commercial electricity information and history civil electricity information. Further, the period prediction commercial power information corresponding to each period of the commercial power consumption region is determined from the historical commercial power information. And determining the period prediction civil electricity information corresponding to each period of the civil electricity utilization area according to the historical civil electricity utilization information.
S103, based on electricity consumption grouping construction rules, predicting electricity consumption according to the time periods corresponding to all the electricity consumption areas, determining first electricity groupings, and determining construction costs of building substations among a plurality of the electricity consumption areas corresponding to the first electricity groupings.
The electricity consumption grouping construction rule is a preset construction rule, and can be used for combining and pairing the electricity consumption areas, so that the site selection of the transformer substation can be conveniently determined. The first electricity grouping may refer to an electricity grouping that plans a plurality of electricity usage areas based on electricity usage grouping construction rules.
Specifically, according to a power consumption grouping construction rule, combining time period prediction power consumption information corresponding to a power consumption region, and combining and pairing a plurality of power consumption regions to construct a first power consumption grouping. Meanwhile, the construction cost required for constructing the transformer substation among the plurality of electricity utilization areas contained in each first electricity grouping is calculated and determined.
S104, determining a second power utilization group with the lowest construction cost in the first power utilization group, determining a target substation address of a substation to be constructed according to a grouping area corresponding to the second power utilization group, and constructing a power distribution network according to the target substation address.
The second electricity consumption group may refer to a first electricity group with the lowest construction cost for constructing the substation. The target substation address may refer to address information of the construction substation.
Specifically, the electricity consumption group with the lowest construction cost in the first electricity group is determined to be the second electricity group. And determining a plurality of electricity utilization areas contained in a second group, determining target substation addresses of substations to be built in the plurality of electricity utilization areas, and building overhead lines, cables, towers, distribution transformers, isolating switches, reactive compensators, some auxiliary facilities and the like contained in the distribution network according to the target substation addresses.
According to the technical scheme, the historical power consumption information of the areas corresponding to the power consumption areas in the power grid area to be planned is obtained; for each electricity consumption region, determining the period prediction electricity consumption corresponding to each period of the electricity consumption region according to the region history electricity consumption; based on electricity consumption grouping construction rules, predicting electricity consumption according to time periods corresponding to all electricity consumption areas, determining first electricity groupings, and determining construction costs of transformer substations constructed in each first electricity grouping; the second electricity consumption group with the lowest construction cost in the first electricity consumption group is determined, the optimal target substation address of the substation is accurately determined according to the group area corresponding to the second electricity consumption group, and the distribution network is constructed according to the target substation address, so that the electricity consumption peak-valley influence can be reduced, the electricity dispatching burden is reduced, the electricity supply cost is reduced, and the stable power supply in multiple areas is realized.
Example two
Fig. 2 is a flowchart of a power distribution network planning determining method according to a second embodiment of the present invention, where the power usage type is divided into a commercial power usage area and a civil power usage area based on the foregoing embodiment, and the first power group is further defined and determined. As shown in fig. 2, the method includes:
s201, acquiring area historical electricity consumption information corresponding to each electricity consumption area in the power grid area to be planned.
S202, determining the time period prediction electricity consumption information corresponding to each time period of the electricity consumption area according to the historical electricity consumption information of each electricity consumption area.
And S203, carrying out rule analysis processing on the electricity consumption grouping construction rule, and determining a first preset number of the required commercial electricity consumption areas and a second preset number of the required civil electricity consumption areas.
The first preset number is the number of the preset commercial power utilization areas. The preset number is the number of preset civil electricity utilization areas.
Specifically, the first preset number of commercial power utilization areas and the second preset number of civil power utilization areas can be obtained by analyzing the power utilization grouping construction rule.
S204, selecting the first preset number of commercial power utilization areas and the second preset number of civil power utilization areas to form various power utilization groups.
For example, the specification may be performed according to a power consumption group construction rule, or a first preset number of the commercial power consumption regions and a second preset number of the civil power consumption regions may be randomly selected, and each power consumption group may be constructed.
S205, according to the electricity consumption group and the period prediction commercial electricity information corresponding to the commercial electricity consumption region and the period prediction civil electricity information corresponding to the civil electricity consumption region in the electricity consumption group, determining a first electricity group.
Specifically, commercial electricity information and civil electricity information are predicted according to a period corresponding to a commercial electricity utilization area, and a first electricity group is selected and determined from the electricity utilization groups.
Illustratively, the determining the first electricity group according to the electricity consumption group and the period prediction commercial electricity information corresponding to the commercial electricity consumption region and the period prediction civil electricity consumption information corresponding to the civil electricity consumption region in the electricity consumption group includes: for each electricity consumption group, according to the period prediction commercial electricity information corresponding to the commercial electricity consumption region and the period prediction civil electricity information corresponding to the civil electricity consumption region in the electricity consumption group, determining the period group prediction electricity consumption information corresponding to each period of the electricity consumption group; according to the time period grouping prediction electricity consumption corresponding to each time period of the electricity consumption grouping, determining an electricity consumption electric power total value corresponding to the electricity consumption grouping; and determining a first electricity grouping based on the electricity utilization wave total value corresponding to each electricity utilization grouping.
Specifically, for each of the electricity consumption groups, a sum of the period-predicted commercial electricity information and the period-predicted civil electricity information corresponding to each period in the electricity consumption groups is calculated, and the period-group-predicted electricity consumption information corresponding to each period of the electricity consumption groups is determined. And predicting the electricity consumption information according to the time period group corresponding to each time period of the electricity consumption group, and calculating the electricity consumption total value corresponding to the electricity consumption group. And by analogy, calculating the total value of the electric waves corresponding to each electric packet. And determining a first electricity grouping from all the electricity groupings according to the electricity utilization wave total value corresponding to each electricity utilization grouping.
Illustratively, the determining a first power packet based on the total power usage flow value corresponding to each power usage packet includes: all the electricity consumption fluctuation total values are subjected to ascending sort processing to obtain an electricity consumption fluctuation total value sequence; sequentially obtaining a third preset number of target electric wave total values from low to high in the electric wave total value sequence; and determining the power utilization group corresponding to the target power utilization electric total value as the first power utilization group.
Wherein, the third preset number is determined according to the actual situation, and the invention is not limited. The target electric wave total value may refer to an electric wave total value of a preset number of the front in the electric wave total value sequence.
Specifically, all the electricity consumption fluctuation total values are subjected to ascending sort processing, and an electricity consumption fluctuation total value sequence is obtained. And acquiring a third target electric wave total value with the largest preset number from the electric wave total value sequence. And determining the power consumption group corresponding to the target power consumption electric total value as the first power consumption group.
S206, determining construction cost of constructing the transformer substation among the plurality of electricity utilization areas corresponding to the first electricity groups.
S207, determining a second electricity consumption group with the lowest construction cost in the first electricity group, determining a target substation address of a substation to be constructed according to a grouping area corresponding to the second electricity consumption group, and constructing a power distribution network according to the target substation address.
The method further includes, after determining the target substation address of the substation to be built according to the grouping area corresponding to the second electricity consumption grouping,: determining the electricity utilization wave total value corresponding to the second electricity utilization group; and establishing an emergency energy storage power supply according to the electricity utilization wave total value.
Specifically, an emergency energy storage power supply is established according to the electric power consumption wave total value corresponding to the second electric power consumption group and is used as a standby power supply energy, the electric power consumption wave total value is set to be the lowest safe power storage quantity of the power supply energy, and when the power supply deficiency condition occurs, the standby power supply energy is used for auxiliary power supply.
According to the technical scheme, after the civil electricity utilization area and the commercial electricity utilization area are paired and combined based on the electricity utilization grouping construction rule, the total value of the forecast fluctuation is calculated, the optimal distribution network is obtained further based on the screening of the planning cost, the influence of electricity utilization peaks and valleys is reduced, meanwhile, the power dispatching burden is lightened, and stable power supply of a plurality of areas is realized.
Example III
Fig. 3 is a schematic structural diagram of a power distribution network planning determining device according to a third embodiment of the present invention. As shown in fig. 3, the apparatus includes:
the historical electricity consumption information obtaining module 301 is configured to obtain area historical electricity consumption information corresponding to each electricity consumption area in the power grid area to be planned;
the predicted electricity consumption information determining module 302 is configured to determine, for each electricity consumption region, period predicted electricity consumption information corresponding to each period of the electricity consumption region according to the region historical electricity consumption information;
the power station construction cost determining module 303 is configured to determine a first power group according to the period prediction power consumption information corresponding to all the power consumption areas based on a power consumption group construction rule, and determine construction costs of constructing a substation between a plurality of power consumption areas corresponding to each first power group;
the power distribution network planning and construction module 304 is configured to determine a second power consumption group with the lowest construction cost in the first power consumption group, determine a target substation address of a substation to be constructed according to a grouping area corresponding to the second power consumption group, and construct a power distribution network according to the target substation address.
According to the technical scheme, the historical power consumption information of the areas corresponding to the power consumption areas in the power grid area to be planned is obtained; for each electricity consumption region, determining the period prediction electricity consumption corresponding to each period of the electricity consumption region according to the region history electricity consumption; based on electricity consumption grouping construction rules, predicting electricity consumption according to time periods corresponding to all electricity consumption areas, determining first electricity groupings, and determining construction costs of transformer substations constructed in each first electricity grouping; the second electricity consumption group with the lowest construction cost in the first electricity consumption group is determined, the optimal target substation address of the substation is accurately determined according to the group area corresponding to the second electricity consumption group, and the distribution network is constructed according to the target substation address, so that the electricity consumption peak-valley influence can be reduced, the electricity dispatching burden is reduced, the electricity supply cost is reduced, and the stable power supply in multiple areas is realized.
Optionally, the predicted electricity consumption determining module 302 may be specifically configured to:
according to the historical electricity consumption information of the area, determining the historical electricity consumption information of the period corresponding to each historical period of the electricity consumption area;
and for each historical period, carrying out average calculation on all period historical electricity consumption information in the historical period to obtain a period historical electricity consumption level average value, and determining the period historical electricity consumption level average value as the period prediction electricity consumption information.
Optionally, the electricity consumption area comprises a commercial electricity consumption area and a civil electricity consumption area; the area historical electricity consumption information comprises historical commercial electricity information and historical civil electricity information;
the predicted electricity consumption information determining module 302 may be specifically configured to:
determining period prediction commercial power information corresponding to each period of the commercial power utilization region according to the historical commercial power information;
and determining the period prediction civil electricity information corresponding to each period of the civil electricity utilization area according to the historical civil electricity information.
Optionally, the power station construction cost determining module 303 includes:
the preset number determining unit is used for carrying out rule analysis processing on the electricity grouping construction rule and determining a first preset number of the required commercial electricity utilization areas and a second preset number of the required commercial electricity utilization areas;
the electricity consumption grouping and constructing unit is used for selecting the first preset number of commercial electricity consumption areas and the second preset number of civil electricity consumption areas to construct each electricity consumption group;
and the first electricity grouping determining unit is used for determining the first electricity grouping according to the electricity grouping, and the period prediction commercial electricity information corresponding to the commercial electricity region and the period prediction civil electricity information corresponding to the civil electricity region in the electricity grouping.
Optionally, the first electrical packet determining unit includes:
a predicted electricity consumption information subunit, configured to predict, for each electricity consumption group, commercial electricity consumption information and period predicted civil electricity consumption information corresponding to the commercial electricity consumption region in the electricity consumption group according to a period corresponding to the commercial electricity consumption region, and determine period group predicted electricity consumption information corresponding to each period of the electricity consumption group;
a power consumption electric wave total value determining subunit, configured to predict power consumption information according to the period packet corresponding to each period of the power consumption packet, and determine a power consumption electric wave total value corresponding to the power consumption packet;
and the first electricity grouping determining subunit is used for determining the first electricity grouping based on the electricity consumption electric total value corresponding to each electricity consumption grouping.
Optionally, the first electrical packet determination subunit is specifically configured to:
all the electricity consumption fluctuation total values are subjected to ascending sort processing to obtain an electricity consumption fluctuation total value sequence;
sequentially obtaining a third preset number of target electric wave total values from low to high in the electric wave total value sequence;
and determining the power utilization group corresponding to the target power utilization electric total value as the first power utilization group.
Optionally, the apparatus further comprises:
the emergency energy storage power supply building module is used for determining the electricity consumption wave total value corresponding to the second electricity consumption group; and establishing an emergency energy storage power supply according to the electricity utilization wave total value.
The power distribution network planning determining device provided by the embodiment of the invention can execute the power distribution network planning determining method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the executing method.
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 RAM 13, various programs and data required for the operation of the electronic device 10 may also be stored. The processor 11, the ROM 12 and the RAM 13 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 method distribution network planning determinations.
In some embodiments, the method distribution network planning determination may be implemented as a computer program tangibly embodied on a computer-readable storage medium, such as 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 ROM 12 and/or the communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more of the steps of the method distribution network planning determination described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the method distribution network planning determination by any other suitable means (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 power distribution network planning determination method, comprising:
acquiring area historical electricity consumption information corresponding to each electricity consumption area in a power grid area to be planned;
for each electricity consumption region, determining the time period prediction electricity consumption information corresponding to each time period of the electricity consumption region according to the region history electricity consumption information;
based on an electricity consumption grouping construction rule, predicting electricity consumption according to the time periods corresponding to all the electricity consumption areas, determining a first electricity grouping, and determining construction cost of a transformer substation constructed among a plurality of the electricity consumption areas corresponding to each first electricity grouping;
and determining a second power consumption group with the lowest construction cost in the first power consumption group, determining a target substation address of a substation to be constructed according to a grouping area corresponding to the second power consumption group, and constructing a power distribution network according to the target substation address.
2. The method of claim 1, wherein determining the period predicted electricity consumption information corresponding to each period of the electricity consumption region according to the region historical electricity consumption information comprises:
according to the historical electricity consumption information of the area, determining the historical electricity consumption information of the period corresponding to each historical period of the electricity consumption area;
and for each historical period, carrying out average calculation on all period historical electricity consumption information in the historical period to obtain a period historical electricity consumption level average value, and determining the period historical electricity consumption level average value as the period prediction electricity consumption information.
3. The method of claim 1, wherein the electricity usage area comprises a commercial electricity usage area and a residential electricity usage area; the area historical electricity consumption information comprises historical commercial electricity information and historical civil electricity information; the determining the time period prediction electricity consumption information corresponding to each time period of the electricity consumption area according to the area history electricity consumption information comprises the following steps:
determining period prediction commercial power information corresponding to each period of the commercial power utilization region according to the historical commercial power information;
and determining the period prediction civil electricity information corresponding to each period of the civil electricity utilization area according to the historical civil electricity information.
4. A method according to claim 3, wherein said determining a first power packet based on power packet construction rules based on the time period predicted power usage for all of the power usage areas comprises:
performing rule analysis processing on the electricity grouping construction rule, and determining a first preset number of the required commercial electricity utilization areas and a second preset number of the required civil electricity utilization areas;
selecting the first preset number of commercial power utilization areas and the second preset number of civil power utilization areas to form various power utilization groups;
and determining a first electricity group according to the electricity group, and the period prediction commercial electricity information corresponding to the commercial electricity region and the period prediction civil electricity information corresponding to the civil electricity region in the electricity group.
5. The method of claim 4, wherein the determining the first electricity group from the electricity usage group and the period forecast utility information corresponding to the utility region in the electricity usage group comprises:
for each electricity consumption group, according to the period prediction commercial electricity information corresponding to the commercial electricity consumption region and the period prediction civil electricity information corresponding to the civil electricity consumption region in the electricity consumption group, determining the period group prediction electricity consumption information corresponding to each period of the electricity consumption group;
according to the time period grouping prediction electricity consumption corresponding to each time period of the electricity consumption grouping, determining an electricity consumption electric power total value corresponding to the electricity consumption grouping;
and determining a first electricity grouping based on the electricity utilization wave total value corresponding to each electricity utilization grouping.
6. The method of claim 5, wherein said determining a first power packet based on said aggregate power utilization packet value for each power utilization packet comprises:
all the electricity consumption fluctuation total values are subjected to ascending sort processing to obtain an electricity consumption fluctuation total value sequence;
sequentially obtaining a third preset number of target electric wave total values from low to high in the electric wave total value sequence;
and determining the power utilization group corresponding to the target power utilization electric total value as the first power utilization group.
7. The method according to claim 1, further comprising, after the determining the target substation address of the substation to be built according to the grouping area corresponding to the second power usage grouping:
determining the electricity utilization wave total value corresponding to the second electricity utilization group;
and establishing an emergency energy storage power supply according to the electricity utilization wave total value.
8. A power distribution network planning determination apparatus, characterized by comprising:
the historical electricity consumption information acquisition module is used for acquiring area historical electricity consumption information corresponding to each electricity consumption area in the power grid area to be planned;
the prediction electricity consumption information determining module is used for determining time period prediction electricity consumption information corresponding to each time period of the electricity consumption area according to the historical electricity consumption information of each electricity consumption area;
the power station construction cost determining module is used for predicting power consumption information according to the time periods corresponding to all the power consumption areas based on power consumption group construction rules, determining first power consumption groups and determining construction cost of a transformer substation constructed among a plurality of power consumption areas corresponding to the first power consumption groups;
and the power distribution network planning and construction module is used for determining a second power utilization group with the lowest construction cost in the first power utilization group, determining a target substation address of a substation to be constructed according to a grouping area corresponding to the second power utilization group, and constructing a power distribution network according to the target substation address.
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 network planning 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 power distribution network planning determination method of any one of claims 1-7.
CN202310943037.7A 2023-07-28 2023-07-28 Power distribution network planning determination method, device, equipment and storage medium Pending CN116882703A (en)

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CN202310943037.7A CN116882703A (en) 2023-07-28 2023-07-28 Power distribution network planning determination method, device, equipment and storage medium

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