Park energy planning method and device, electronic equipment and storage medium

Abstract

The embodiment of the invention discloses a park energy planning method and device, electronic equipment and a storage medium. The method comprises the steps that a park energy planning configuration interface is displayed, the park energy planning configuration interface comprises candidate park energy system architectures, and the candidate park energy system architectures comprise candidate energy equipment identifiers; obtaining a target park energy system architecture in response to a first identifier selection operation for the candidate energy device identifier; determining energy equipment information corresponding to the target energy equipment identifier in the target park energy system architecture, determining park energy planning constraint conditions, and generating candidate energy planning schemes based on the park energy planning constraint conditions and the energy equipment information; and determining a target energy planning scheme in the candidate energy planning schemes based on the park energy planning target function, and performing comprehensive energy planning on the target park based on the target energy planning scheme, thereby realizing relatively convenient and accurate comprehensive energy planning processing on the park.

Description

Technical Field

[0001] Embodiments of the present invention relate to the technical field of energy planning, and in particular to a campus energy planning method, device, electronic equipment, and storage medium. Background Art

[0002] With the rapid development of economy and the continuous growth of energy demand, energy shortage is becoming more and more serious. As an important carrier of economic development, the park has large energy consumption and low energy utilization efficiency. Therefore, a park energy planning method is proposed to carry out comprehensive energy planning and design for the park, so as to achieve efficient utilization and sustainable development of park energy. Summary of the invention

[0003] The present invention provides a park energy planning method, device, electronic equipment and storage medium to realize relatively convenient and accurate comprehensive energy planning processing for the park, improve the efficient use of energy and facilitate sustainable development.

[0004] According to one aspect of the present invention, a park energy planning method is provided, the method comprising:

[0005] Displaying a campus energy planning configuration interface, wherein the campus energy planning configuration interface includes a candidate campus energy system architecture, and the candidate campus energy system architecture includes a candidate energy device identifier;

[0006] In response to a first identification selection operation for the candidate energy device identification, obtaining a target park energy system architecture based on a target energy device identification in the candidate energy device identification;

[0007] Determine the energy equipment information corresponding to the target energy equipment identifier in the target park energy system architecture, determine the park energy planning constraints, and generate candidate energy planning schemes based on the park energy planning constraints and the energy equipment information;

[0008] Determine a park energy planning objective function, and determine a target energy planning scheme among candidate energy planning schemes based on the park energy planning objective function, so as to carry out comprehensive energy planning for the target park based on the target energy planning scheme.

[0009] According to another aspect of the present invention, a park energy planning device is provided. The device comprises:

[0010] An energy architecture display module, used to display a campus energy planning configuration interface, wherein the campus energy planning configuration interface includes a candidate campus energy system architecture, and the candidate campus energy system architecture includes a candidate energy device identifier;

[0011] An energy architecture configuration module, configured to obtain a target park energy system architecture based on a target energy device identifier in the candidate energy device identifiers in response to a first identifier selection operation for the candidate energy device identifiers;

[0012] A candidate solution generation module is used to determine the energy equipment information corresponding to the target energy equipment identifier in the target park energy system architecture, determine the park energy planning constraints, and generate candidate energy planning solutions based on the park energy planning constraints and the energy equipment information;

[0013] The park energy planning module is used to determine the park energy planning objective function, determine the target energy planning scheme among the candidate energy planning schemes based on the park energy planning objective function, and carry out comprehensive energy planning for the target park based on the target energy planning scheme.

[0014] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0015] at least one processor; and

[0016] a memory communicatively connected to the at least one processor; wherein,

[0017] The memory stores a computer program that can be executed by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the campus energy planning method described in any embodiment of the present invention.

[0018] According to another aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the campus energy planning method described in any embodiment of the present invention when executed.

[0019] The technical solution of the embodiment of the present invention displays a campus energy planning configuration interface, wherein the campus energy planning configuration interface includes a candidate campus energy system architecture, and the candidate campus energy system architecture includes a candidate energy device identifier; in response to a first identifier selection operation for the candidate energy device identifier, a target campus energy system architecture is obtained based on a target energy device identifier in the candidate energy device identifier; energy device information corresponding to the target energy device identifier in the target campus energy system architecture is determined, and campus energy planning constraints are determined, and candidate energy planning schemes are generated based on the campus energy planning constraints and the energy device information; a campus energy planning objective function is determined, and a target energy planning scheme in the candidate energy planning schemes is determined based on the campus energy planning objective function, so as to carry out comprehensive energy planning for the target campus based on the target energy planning scheme. The technical solution of the embodiment of the present invention realizes a relatively convenient and accurate comprehensive energy planning process for the campus, improves the efficient use of energy, and facilitates sustainable development.

[0020] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0022] Figure 1 A schematic diagram of a process flow of a park energy planning method provided by an embodiment of the present invention;

[0023] Figure 2 A schematic diagram of a target park energy system architecture applicable to a park energy planning method provided in an embodiment of the present invention;

[0024] Figure 3 An example diagram of a process for generating candidate energy planning solutions for a campus energy planning method provided in an embodiment of the present invention;

[0025] Figure 4 An example diagram of a process for determining a target energy planning solution for a campus energy planning method provided in an embodiment of the present invention;

[0026] Figure 5 A schematic diagram of a flow chart of an optional embodiment of a campus energy planning method provided by an embodiment of the present invention;

[0027] Figure 6 A schematic diagram of the structure of a park energy planning device provided by an embodiment of the present invention;

[0028] Figure 7 A schematic diagram of the structure of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0029] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0030] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0031] It is understandable that the data involved in this technical solution (including but not limited to the data itself, the acquisition or use of the data) shall comply with the requirements of relevant laws, regulations and relevant provisions.

[0032] Figure 1 The present invention provides a flow chart of a park energy planning method. This embodiment is applicable to the case of energy planning for a park. The method can be executed by a park energy planning device. The park energy planning device can be implemented in the form of hardware and / or software. The park energy planning device can be configured in an electronic device such as a computer or a server. Figure 1 As shown, the method of this embodiment includes:

[0033] S110. Displaying a campus energy planning configuration interface, wherein the campus energy planning configuration interface includes a candidate campus energy system architecture, and the candidate campus energy system architecture includes a candidate energy device identifier.

[0034] Among them, the campus energy planning configuration interface can be understood as an interface for planning and configuring campus energy. In the embodiment of the present disclosure, the campus energy planning configuration interface may include a candidate campus energy system architecture. The candidate campus energy system architecture can be used to provide energy equipment identification of candidate energy equipment for campus energy planning, and the candidate campus energy system architecture may include one or more candidate energy equipment identifications. The candidate energy equipment identification can be understood as the energy equipment identification to be selected in the candidate campus energy system architecture. The candidate energy equipment identification can be at least one of numbers, Chinese, English and images. In an embodiment of the present invention, the candidate energy equipment identification includes an equipment identification of at least one equipment type among a power generation equipment type, a power supply equipment type and an energy storage equipment type. It can be understood that the energy equipment identification can be used to distinguish different energy devices.

[0035] Specifically, in response to a campus energy planning configuration request, a candidate campus energy system architecture corresponding to the campus energy planning configuration request and including one or more candidate energy device identifiers can be determined. The candidate campus energy system architecture can thus be displayed on the campus energy planning configuration interface. In an embodiment of the present invention, there are multiple ways to obtain a campus energy planning configuration request. For example, it can be in response to a control trigger operation for a campus energy planning configuration control, thereby generating a campus energy planning configuration request based on the control trigger operation; or, it can be in response to receiving a campus energy planning configuration instruction, thereby generating a campus energy planning configuration request based on the campus energy planning configuration instruction.

[0036] In an embodiment of the present invention, a method for obtaining a candidate park energy system architecture may specifically include: displaying an initial park energy system architecture on the park energy planning configuration interface, wherein the initial energy system architecture includes at least one initial energy device identifier; responding to a second identifier selection operation for the initial energy device identifier, and determining an energy device identifier selected from the initial energy device identifier based on the second identifier selection operation; and obtaining a candidate park energy system architecture based on the selected energy device identifier, wherein the selected energy device identifier serves as a candidate energy device identifier in the candidate park energy system architecture.

[0037] Among them, the initial energy system architecture can be understood as a preset architecture template for performing campus energy planning. In an embodiment of the present invention, the initial energy system architecture may include at least one initial energy device identifier. In other words, the number of initial energy device identifiers in the initial energy system architecture may be one or more. The initial energy device identifier can be understood as an energy device identifier in the initial energy system architecture. The second identifier selection operation can be understood as an operation for selecting the initial energy device identifier in the initial energy system architecture.

[0038] Specifically, an initial park energy system architecture including multiple initial energy device identifiers can be obtained first. Afterwards, the initial park energy system architecture can be displayed on the park energy planning configuration interface. In response to a second identifier selection operation (such as a click operation) of the initial energy device identifier in the initial park energy system architecture on the park energy planning configuration interface, the energy device identifier selected in the initial energy device identifier can be determined based on the second identifier selection operation. Thus, the selected energy device identifier can be used to obtain a candidate park energy system architecture. It can be understood that the selected energy device identifier can be used as a candidate energy device identifier in the candidate park energy system architecture.

[0039] S120 . In response to a first identification selection operation for the candidate energy device identifications, obtain a target campus energy system architecture based on a target energy device identification among the candidate energy device identifications.

[0040] Among them, the first identification selection operation can be understood as an operation for selecting a candidate energy device identification in a candidate park energy system architecture. The target energy device identification can be understood as the identification of energy equipment that needs to be used in planning the park energy system. The number of target energy device identifications can be one, two, or more than two. The target park energy system architecture can be understood as the park energy system obtained after planning the park energy. The target park energy system architecture can be obtained based on the target energy device identification in the candidate energy device identifications.

[0041] Specifically, after receiving the first identification selection operation of the candidate energy device identification acting on the candidate park energy system architecture, the energy device identification selected in the candidate park energy system architecture can be determined. Thus, the energy device identification selected in the candidate park energy system architecture can be used as the target energy device identification. Furthermore, the target park energy system architecture can be obtained based on the target energy device identification, so that the target park energy system architecture includes at least one target energy device identification.

[0042] In an embodiment of the present invention, the energy supply mode set for the park may include at least one of the power grid energy supply mode, the natural gas energy supply mode, and the municipal thermal energy supply mode. Taking the example that the park setting function mode includes three energy supply modes: the power grid energy supply mode, the natural gas energy supply mode, and the municipal thermal energy supply mode, it can be determined that the load type of the park energy supply may include three forms: electric load type, cooling load type, and heating load type. Based on this, candidate energy equipment identifiers that meet the three energy supply modes of the power grid energy supply mode, the natural gas energy supply mode, and the municipal thermal energy supply mode can be selected from the initial energy system architecture to obtain a candidate park energy system architecture.

[0043] Based on this, the candidate park energy system architecture may include equipment identification of power generation equipment type, equipment identification of energy supply equipment type and equipment identification of energy storage equipment type. Among them, the equipment identification of power generation equipment type may include photovoltaic power generation equipment identification, wind power generation equipment identification and the like. The equipment identification of energy supply equipment type may include heat exchange station equipment identification, combined cooling, heating and power (CCHP) equipment identification, gas boiler equipment identification, gas refrigeration equipment identification, gas heat pump equipment identification, electric boiler equipment identification, electric refrigeration equipment identification, power heat pump equipment identification and the like. The equipment identification of energy storage equipment type may include battery equipment identification, heat storage tank equipment identification, ice storage equipment identification and the like. On this basis, a target energy equipment identification may be selected from multiple candidate energy equipment identifications in the candidate park energy system architecture. Thus, a target park energy system architecture including the target energy equipment identification may be obtained (see Figure 2 ).

[0044] S130, determining the energy equipment information corresponding to the target energy equipment identifier in the target park energy system architecture, determining the park energy planning constraints, and generating candidate energy planning schemes based on the park energy planning constraints and the energy equipment information.

[0045] In an embodiment of the present invention, different target energy equipment identifiers correspond to different energy equipment information. The energy equipment information corresponding to the target energy equipment identifier can be understood as the equipment information of the energy equipment corresponding to the target energy equipment identifier. The park energy planning constraint condition can be understood as a pre-set condition for constraining the park energy planning. The candidate energy planning scheme can be understood as an energy planning scheme to be selected that is generated based on the park energy planning constraint condition and the energy equipment information.

[0046] Specifically, the energy planning constraints of the park are pre-set. After obtaining the target energy system architecture, the device information of the energy device corresponding to each target energy device identifier in the target energy system architecture can be obtained, that is, the energy device information corresponding to the target energy device identifier. After obtaining the energy device information corresponding to all target energy device identifiers under the target energy system architecture, a candidate energy planning scheme can be generated based on the preset energy planning constraints of the park and the energy device information.

[0047] In an embodiment of the present invention, after obtaining the target park energy system architecture, the device information of the target energy device corresponding to each target energy device identifier under the target park energy system architecture can be obtained, that is, the energy device information corresponding to each target energy device identifier. Exemplarily, the energy device information of the corresponding energy device can be obtained according to Table 1:

[0048]

[0049]

[0050] In an embodiment of the present invention, determining the park energy planning constraints may include: obtaining the park energy planning constraints in response to the configuration operation of the park energy planning constraints; wherein the park energy planning constraints may include at least one of resource input constraints, energy load constraints, energy environment constraints, energy storage capacity constraints, equipment installation area constraints, and equipment quantity constraints.

[0051] The resource input constraint can be understood as an investment cost constraint. Alternatively, the resource input constraint can be expressed by the following formula:

[0052]

[0053] Among them, i can be expressed as the number of resource inputs. i It can be expressed as the amount of resource input for the i-th time. max It can be expressed as the maximum initial investment cost.

[0054] Alternatively, the energy load constraint can be expressed by the following formula:

[0055]

[0056] in, It can be expressed as the total designed electrical load in the planning area; S is the safety factor. It can be expressed as the maximum power supply of the jth energy device; It can be expressed as the total design cooling load in the planning area; It can be expressed as the maximum cooling power of the jth energy equipment; It can be expressed as the total design heat load in the planning area; It can be expressed as the maximum heating power of the jth energy device. It can be understood that the energy load constraint condition is a constraint condition set for the load of the power supply device.

[0057] Alternatively, the energy storage capacity constraint can be expressed by the following formula:

[0058]

[0059] Among them, E D It can be expressed as the electric energy storage capacity of the target park energy system; is the maximum electric energy storage capacity of the target park energy system. The maximum electric load multiplied by 0.2 can be taken as the default maximum electric energy storage capacity of the target park energy system; E HIt can be expressed as the thermal energy storage capacity of the target park energy system; It can be expressed as the maximum thermal energy storage capacity of the target park energy system. The maximum heat load multiplied by 0.2 can be taken as the default maximum thermal energy storage capacity of the target park energy system; E C It can be expressed as the cold energy storage capacity of the target park energy system; It can be expressed as the maximum cold energy storage capacity of the target park energy system. The maximum cold load multiplied by 0.2 can be taken as the system's default maximum cold energy storage capacity.

[0060] The equipment quantity constraint can be understood as the quantity constraint of installed equipment. Optionally, the constraint on the number of power generation equipment can be expressed by the following formula:

[0061]

[0062] Among them, N j It can be expressed as the number of the jth type of power generation equipment, S j It can be expressed as the area occupied by the jth power supply equipment, S max It can be expressed as the maximum area of ​​available site.

[0063] In an embodiment of the present invention, the number constraint of installed equipment can be set based on the site area and energy load of the installed equipment. For example, for photovoltaic equipment and wind turbine equipment, the equipment footprint shall not be larger than the available area. For energy supply equipment and energy storage equipment, such as heat storage equipment, ice tank equipment, electric boilers, gas boilers, direct-fired engines, gas heat pumps, power heat pumps, etc., the number constraint of equipment can be determined based on the maximum boundary of the cold, hot and electric loads. Specifically, the number constraint of power supply equipment can be expressed by the following formula:

[0064]

[0065] Among them, N j It can be expressed as the number of the jth power supply equipment, P j It can be expressed as the rated power supply power, heating power or cooling power of the jth equipment, Pload max Can be expressed as maximum electrical load, heating load or cooling load.

[0066] Alternatively, the energy and environmental constraints can be expressed by the following formula:

[0067] ∑ i E i Pur i ≤Em ij_max

[0068] Among them, Ek i It can be expressed as the emission coefficient of the i-th energy form. iIt can be expressed as the purchase amount of the i-th energy, Em i_max It can be expressed as the maximum emission of the jth gas in the ith energy form.

[0069] In the embodiment of the present invention, the energy load constraint condition can be obtained in the following manner:

[0070] Obtain the park load impact parameter and determine the park energy load type; for each park energy load type, obtain the historical load data corresponding to the park energy load type. Thus, the energy load forecast value corresponding to the park load impact parameter can be obtained based on the historical load data and the park load impact parameter. Then, the energy load constraint condition can be generated based on each energy load forecast value.

[0071] Among them, the park load influencing parameters can be understood as parameters that have an impact on the park load. Optionally, the park load influencing parameters may include but are not limited to park building parameters and park meteorological parameters. Among them, the park meteorological parameters may include at least one of temperature, humidity, wind speed and wind direction. The park energy load type can be understood as the type of park energy load. Among them, the park energy load type may include at least one of cooling load, heating load and electric load. Obtaining historical load data corresponding to the park energy load type, specifically, for each of the park energy load types, a storage space for storing historical load data of the park energy load type can be determined. Thereby, the historical load data corresponding to the zone energy load type can be obtained from the storage space.

[0072] In an embodiment of the present invention, based on the historical load data and the park load impact parameter, an energy load forecast value corresponding to the park load impact parameter is obtained. Specifically, the historical load data and the park load impact parameter are input into a pre-trained energy load forecast model, so that the energy load forecast value corresponding to the park load impact parameter can be obtained. The pre-trained energy load forecast model can be trained based on an artificial intelligence model (e.g., a neural network model).

[0073] In an embodiment of the present invention, generating a candidate energy planning solution based on the energy planning constraint condition and the energy equipment information includes: Figure 3 , a preset candidate energy planning scheme generation algorithm can be used to generate a candidate energy planning scheme based on the park energy planning constraints and the energy equipment information; wherein the preset candidate energy planning scheme generation algorithm may include a multi-objective genetic algorithm.

[0074] S140, determining a park energy planning objective function, and determining a target energy planning scheme among candidate energy planning schemes based on the park energy planning objective function, so as to perform comprehensive energy planning for the target park based on the target energy planning scheme.

[0075] Among them, the target energy planning scheme can be understood as the most reasonable candidate energy planning scheme among the candidate energy planning schemes, and can be used as a scheme for energy planning of the park. In an embodiment of the present invention, the park energy planning objective function may include a first objective function and a second objective function, wherein the first objective function can be used to calculate the total cost of the target park energy system over its entire life cycle. The second objective function can be used to calculate the pollutant emissions of the target park energy system over its entire life cycle. In an embodiment of the present invention, the park energy planning objective function can be an objective function set based on two dimensions: economy and environmental protection.

[0076] Optionally, the first objective function may be:

[0077]

[0078] Among them, B i It can be expressed as the initial resource input of the i-th energy supply and storage equipment; F i It can be expressed as the annual operation and maintenance cost of the i-th energy storage equipment; Y can be expressed as the engineering service life of the entire park energy system, which can be expressed in years. p It can be expressed as the duration of the p-th energy demand period in a year, which can be expressed in days. It can be expressed as the typical daily operating cost of the system under the economic criterion for the j-th energy in the p-th energy demand period.

[0079] Optionally, the second objective function may be:

[0080]

[0081] in, It can be expressed as the typical daily operating environmental cost of the system under the environmental protection criteria for the jth energy in the pth energy demand period. Among them, it can be determined by the following formula

[0082]

[0083] in, It can be expressed as the pollutant emission of the jth energy source. T can be expressed as the total number of scheduling intervals of the target energy system optimization body. In the embodiment of the present invention, T=24. H can be expressed as the number of hours in each scheduling interval. In the embodiment of the present invention, H=1. It can be expressed as the average power of the jth energy source in the park during the tth time interval.

[0084] In the embodiment of the present invention, the target energy planning scheme among the candidate energy planning schemes is determined based on the park energy planning objective function, which can be specifically: Figure 4 , based on the entropy weight TOPSIS method and the park energy planning objective function, determine the target energy planning scheme among the candidate energy planning schemes. Specifically, a reference energy planning scheme can be selected from the candidate energy planning schemes based on the park energy planning objective function. Then, the target energy planning scheme can be selected from the reference energy planning schemes based on the entropy weight TOPSIS method.

[0085] As an optional implementation of the embodiment of the present invention, see Figure 5 , through the equipment selection processing of energy equipment under the target park energy system architecture, the selected energy equipment can be determined. Then, the NSGA-II integer multi-objective optimization algorithm can be used to generate multiple park energy planning schemes based on the set initial parameters and the energy equipment information of the selected energy equipment, that is, the candidate park energy planning method. Then, the entropy weight TOPSIS method can be used to determine the best scheme among multiple energy planning schemes, that is, to determine the target energy planning scheme among the candidate energy planning schemes.

[0086] The technical solution of the embodiment of the present invention displays a campus energy planning configuration interface, wherein the campus energy planning configuration interface includes a candidate campus energy system architecture, and the candidate campus energy system architecture includes a candidate energy device identifier; in response to a first identifier selection operation for the candidate energy device identifier, a target campus energy system architecture is obtained based on a target energy device identifier in the candidate energy device identifier; energy device information corresponding to the target energy device identifier in the target campus energy system architecture is determined, and campus energy planning constraints are determined, and candidate energy planning schemes are generated based on the campus energy planning constraints and the energy device information; a campus energy planning objective function is determined, and a target energy planning scheme in the candidate energy planning schemes is determined based on the campus energy planning objective function, so as to carry out comprehensive energy planning for the target campus based on the target energy planning scheme. The technical solution of the embodiment of the present invention realizes a relatively convenient and accurate comprehensive energy planning process for the campus, improves the efficient use of energy, and facilitates sustainable development.

[0087] Figure 6 The following is a schematic diagram of the structure of a campus energy planning device provided by an embodiment of the present invention. Figure 6 As shown, the device includes: an energy architecture display module 210, an energy architecture configuration module 220, a candidate solution generation module 230 and a campus energy planning module 240.

[0088] Among them, the energy architecture display module 210 is used to display the park energy planning configuration interface, wherein the park energy planning configuration interface includes a candidate park energy system architecture, and the candidate park energy system architecture includes a candidate energy equipment identifier; the energy architecture configuration module 220 is used to respond to the first identifier selection operation for the candidate energy equipment identifier, and obtain the target park energy system architecture based on the target energy equipment identifier in the candidate energy equipment identifier; the candidate scheme generation module 230 is used to determine the energy equipment information corresponding to the target energy equipment identifier in the target park energy system architecture, determine the park energy planning constraints, and generate candidate energy planning schemes based on the park energy planning constraints and the energy equipment information; the park energy planning module 240 is used to determine the park energy planning objective function, and determine the target energy planning scheme in the candidate energy planning schemes based on the park energy planning objective function, so as to carry out comprehensive energy planning for the target park based on the target energy planning scheme.

[0089] The technical solution of the embodiment of the present invention displays the park energy planning configuration interface through the energy architecture display module, wherein the park energy planning configuration interface includes the candidate park energy system architecture, and the candidate park energy system architecture includes the candidate energy equipment identification; the energy architecture configuration module responds to the first identification selection operation for the candidate energy equipment identification, and obtains the target park energy system architecture based on the target energy equipment identification in the candidate energy equipment identification; the candidate solution generation module determines the energy equipment information corresponding to the target energy equipment identification in the target park energy system architecture, determines the park energy planning constraints, and generates candidate energy planning solutions based on the park energy planning constraints and the energy equipment information; the park energy planning objective function is determined through the park energy planning module, and the target energy planning solution in the candidate energy planning solution is determined based on the park energy planning objective function, so as to carry out comprehensive energy planning for the target park based on the target energy planning solution. The technical solution of the embodiment of the present invention realizes the ability to carry out comprehensive energy planning processing for the park more conveniently and accurately, improves the efficient use of energy, and facilitates sustainable development.

[0090] Optionally, the candidate solution generation module 230 is used to obtain the park energy planning constraints in response to the configuration operation of the park energy planning constraints; wherein the park energy planning constraints include at least one of the resource input constraints, energy load constraints, energy storage capacity constraints, energy environment constraints, equipment installation area constraints, and equipment quantity constraints.

[0091] Optionally, the energy load constraint condition is obtained by the following steps:

[0092] Obtain park load influencing parameters and determine the park energy load type, wherein the park load influencing parameters include but are not limited to park building parameters and park meteorological parameters; the park energy load type includes at least one of cooling load, heating load and electric load;

[0093] For each of the park energy load types, historical load data corresponding to the park energy load type is obtained, and based on the historical load data and the park load impact parameter, an energy load forecast value corresponding to the park load impact parameter is obtained;

[0094] The energy load constraint condition is generated based on each of the energy load prediction values.

[0095] Optionally, the park energy planning objective function includes a first objective function and a second objective function, wherein the first objective function is used to calculate the total cost of the target park energy system over its entire life cycle, and the second objective function is used to calculate the pollutant emissions of the target park energy system over its entire life cycle.

[0096] Optionally, the candidate energy equipment identifiers include equipment identifiers of at least one equipment type among power generation equipment type, energy supply equipment type and energy storage equipment type.

[0097] Optionally, the device also includes a candidate architecture acquisition module; wherein the candidate architecture acquisition module is used to display the initial park energy system architecture on the park energy planning configuration interface, wherein the initial energy system architecture includes at least one initial energy device identifier; in response to a second identifier selection operation for the initial energy device identifier, an energy device identifier selected from the initial energy device identifier is determined based on the second identifier selection operation; a candidate park energy system architecture is obtained based on the selected energy device identifier, wherein the selected energy device identifier is used as a candidate energy device identifier in the candidate park energy system architecture.

[0098] Optionally, the candidate solution generation module 230 is used to generate a candidate energy planning solution based on the park energy planning constraints and the energy equipment information using a preset candidate energy planning solution generation algorithm; wherein the preset candidate energy planning solution generation algorithm includes a multi-objective genetic algorithm.

[0099] The campus energy planning device provided in the embodiment of the present invention can execute the campus energy planning method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0100] It is worth noting that the various units and modules included in the above-mentioned campus energy planning device are only divided according to functional logic, but are not limited to the above-mentioned division, as long as the corresponding functions can be achieved; in addition, the specific names of the functional units are only for the convenience of distinguishing each other, and are not used to limit the protection scope of the embodiments of the present invention.

[0101] Figure 7 A schematic diagram of the structure of an electronic device 10 that can be used to implement an embodiment of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0102] like Figure 7 As shown, the electronic device 10 includes at least one processor 11, and a memory connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 11 can 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 to the random access memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other through a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0103] A number of 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, etc.; a storage unit 18, such as a disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0104] The processor 11 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, etc. The processor 11 executes the various methods and processes described above, such as the campus energy planning method.

[0105] In some embodiments, the campus energy planning method may be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the campus energy planning method described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to execute the campus energy planning method in any other appropriate manner (e.g., by means of firmware).

[0106] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0107] Computer programs for implementing the 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, a special-purpose computer, or other programmable data processing device, so that when the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0108] In the context of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in combination with an instruction execution system, device or equipment. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, 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 disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0109] To provide interaction with a user, the systems and techniques described herein may 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 the user; and a keyboard and a pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices may also be used to provide interaction with the user; for example, the 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, voice input, or tactile input).

[0110] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0111] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.

[0112] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0113] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A park energy planning method, characterized in that: The method comprises: Displaying a campus energy planning configuration interface, wherein the campus energy planning configuration interface includes a candidate campus energy system architecture, and the candidate campus energy system architecture includes a candidate energy device identifier; In response to a first identification selection operation for the candidate energy device identification, obtaining a target park energy system architecture based on a target energy device identification in the candidate energy device identification; Determine the energy equipment information corresponding to the target energy equipment identifier in the target park energy system architecture, determine the park energy planning constraints, and generate candidate energy planning schemes based on the park energy planning constraints and the energy equipment information; Determine a park energy planning objective function, and determine a target energy planning scheme among candidate energy planning schemes based on the park energy planning objective function, so as to carry out comprehensive energy planning for the target park based on the target energy planning scheme.

2. The method according to claim 1, characterized in that Determining the constraints of the park energy planning includes: In response to the configuration operation of the park energy planning constraints, the park energy planning constraints are obtained; wherein the park energy planning constraints include at least one of the resource input constraints, energy load constraints, energy storage capacity constraints, energy environment constraints, equipment installation area constraints, and equipment quantity constraints.

3. The method according to claim 2, characterized in that The energy load constraint condition is obtained through the following steps: Obtain park load influencing parameters and determine the park energy load type, wherein the park load influencing parameters include but are not limited to park building parameters and park meteorological parameters; the park energy load type includes at least one of cooling load, heating load and electric load; For each of the park energy load types, historical load data corresponding to the park energy load type is obtained, and based on the historical load data and the park load impact parameter, an energy load forecast value corresponding to the park load impact parameter is obtained; The energy load constraint condition is generated based on each of the energy load prediction values.

4. The method according to claim 1, characterized in that: The park energy planning objective function includes a first objective function and a second objective function, wherein the first objective function is used to calculate the total cost of the target park energy system over its entire life cycle, and the second objective function is used to calculate the pollutant emissions of the target park energy system over its entire life cycle.

5. The method according to claim 1, characterized in that The candidate energy equipment identifiers include equipment identifiers of at least one equipment type among power generation equipment type, energy supply equipment type and energy storage equipment type.

6. The method according to claim 1, characterized in that The method further comprises: Displaying an initial campus energy system architecture on the campus energy planning configuration interface, wherein the initial energy system architecture includes at least one initial energy device identifier; In response to a second identification selection operation for the initial energy device identification, determining an energy device identification selected from the initial energy device identification based on the second identification selection operation; A candidate campus energy system architecture is obtained based on the selected energy device identifier, wherein the selected energy device identifier serves as a candidate energy device identifier in the candidate campus energy system architecture.

7. The method according to claim 1, characterized in that The generating of candidate energy planning solutions based on the park energy planning constraint conditions and the energy equipment information includes: A preset candidate energy planning scheme generation algorithm is used to generate a candidate energy planning scheme based on the park energy planning constraints and the energy equipment information; wherein the preset candidate energy planning scheme generation algorithm includes a multi-objective genetic algorithm.

8. A park energy planning device, characterized in that: The device comprises: An energy architecture display module, used to display a campus energy planning configuration interface, wherein the campus energy planning configuration interface includes a candidate campus energy system architecture, and the candidate campus energy system architecture includes a candidate energy device identifier; An energy architecture configuration module, configured to obtain a target park energy system architecture based on a target energy device identifier in the candidate energy device identifiers in response to a first identifier selection operation for the candidate energy device identifiers; A candidate solution generation module is used to determine the energy equipment information corresponding to the target energy equipment identifier in the target park energy system architecture, determine the park energy planning constraints, and generate a candidate energy planning solution based on the park energy planning constraints and the energy equipment information; The park energy planning module is used to determine the park energy planning objective function, determine the target energy planning scheme among the candidate energy planning schemes based on the park energy planning objective function, and carry out comprehensive energy planning for the target park based on the target energy planning scheme.

9. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the campus energy planning method described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the campus energy planning method according to any one of claims 1 to 7 when executed.

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