Energy station site selection method and device based on comprehensive load moment

Abstract

The invention provides an energy station site selection method and device based on a comprehensive load moment. And determining the area range of the energy supply area according to the initial position of the energy station. And solving a pre-constructed energy station site selection model of each energy supply area to obtain a site selection result of the energy station. Wherein the energy station site selection model is constructed by taking the minimum comprehensive load moment of the energy station as a target. And the range of each region and the site selection result are corrected. The site selection of the energy station is realized by taking the minimum comprehensive load moment of the energy station as a target, the loss of heat energy and cold energy of the energy station can be reduced, the investment cost is reduced, and the power supply reliability is improved. According to the method, the comprehensive load moment of the energy station is calculated by combining the electric load, the thermal load and the cold load, namely, the electric load is considered, and the thermal load and the cold load are comprehensively considered, so that the overall efficiency of the energy station including various load types is improved, and the line investment cost can be reduced.

Description

Technical Field

[0001] The present application relates to the field of new energy technology, and specifically to a method and device for energy station site selection based on comprehensive load moment. Background Art

[0002] With the rapid development of new energy technologies, the site selection of energy stations has become increasingly complex. Typically, the site selection of an energy station requires consideration of multiple factors, including geographical location, environmental protection, and socioeconomic factors. To improve energy utilization, it is often necessary to optimize the site selection of an energy station.

[0003] Related technologies typically select energy station sites based on minimizing the station's electrical load moment. Specifically, mathematical models are used to determine the geometric center of the energy station, minimizing the sum of the power and distance products of each load point. However, energy stations can include multiple load types, including heating and cooling, in addition to electrical loads. This approach, by considering only electrical loads, results in significant thermal and cooling energy losses, high investment costs, and low power supply reliability. Summary of the Invention

[0004] In order to solve the problems of large heat and cold energy losses, high investment costs and low power supply reliability in energy stations in the prior art, the present application provides an energy station site selection method and device based on comprehensive load moment.

[0005] In a first aspect, the present application provides an energy station site selection method based on comprehensive load moment, which may include:

[0006] The energy station's initial location determines the regional scope of the energy supply area. A pre-built energy station site selection model is then solved for each energy supply area to obtain the energy station's site selection results. The energy station site selection model is constructed with the goal of minimizing the energy station's comprehensive load moment. The regional scope and site selection results are then revised.

[0007] In some possible implementations, determining the regional scope of the energy supply area based on the initial location of the energy station includes:

[0008] Based on the initial location of the energy station, the load is distributed using the Voronoi diagram to obtain the regional scope of the energy station. The load includes electrical load, heating load and cooling load.

[0009] Optionally, the energy station site selection model meets the following requirements:

[0010]

[0011] Among them, l k represents the comprehensive load moment of the kth energy station, d ikIt represents the distance between the i-th load point and the k-th energy station. The energy stations correspond to the energy supply areas one by one. represents the load value of the electric load at the i-th load point in the j-th energy supply area, Indicates the annual maximum load value of the electrical load. represents the heat load value of the i-th load point in the j-th energy supply area, Indicates the annual maximum load value of the heat load. represents the cooling load value of the i-th load point in the j-th energy supply area, Indicates the annual maximum load value of cooling load. represents the weight of the electric load in the i-th load point, represents the weight of the heat load in the i-th load point, represents the weight of the cooling load in the i-th load point, satisfying:

[0012]

[0013] It represents the annual maximum load utilization hours of the electric load in the i-th load point, It represents the annual maximum load utilization hours of the heat load in the i-th load point, Indicates the annual maximum load utilization hours of the cooling load in the i-th load point. η e Represents the transmission efficiency of electric energy, η h Represents the transfer efficiency of thermal energy, η c Indicates the transmission efficiency of cold energy.

[0014] For example, the site selection results meet the following requirements:

[0015]

[0016] in, represents the position of the kth energy station in the first direction in the t+1th correction, represents the position of the kth energy station in the first direction in the tth correction. represents the position of the kth energy station in the second direction in the t+1th correction, represents the position of the kth energy station in the second direction in the tth correction. I represents the set of load points, It represents the distance between the i-th load point and the k-th energy station in the t-th correction. The first direction is perpendicular to the second direction.

[0017] In other possible implementations, the pre-built energy station site selection model for each energy supply area is solved to obtain the site selection results of the energy station, including:

[0018] The iterative center of gravity method is used to solve the energy station site selection model and obtain the site selection results.

[0019] In some other possible implementations, the regional scopes and site selection results are modified, including:

[0020] The alternating location-allocation algorithm is used to revise the scope and site selection results of each region.

[0021] The present application also provides an energy station site selection device based on comprehensive load moment, which may include:

[0022] The determination module is used to determine the regional scope of the energy supply area according to the initial location of the energy station.

[0023] The solution module is used to solve the pre-built energy station site selection model for each energy supply area and obtain the site selection results of the energy station. The energy station site selection model is constructed with the goal of minimizing the comprehensive load moment of the energy station.

[0024] The correction module is used to correct the scope of each area and the site selection results.

[0025] In some possible implementations, the determination module is specifically configured to:

[0026] Based on the initial location of the energy station, the load is distributed using the Voronoi diagram to obtain the regional scope of the energy station. The load includes electrical load, heating load and cooling load.

[0027] For example, the energy station site selection model satisfies:

[0028]

[0029] Among them, l k represents the comprehensive load moment of the kth energy station, d ik It represents the distance between the i-th load point and the k-th energy station. The energy stations correspond to the energy supply areas one by one. represents the load value of the electric load at the i-th load point in the j-th energy supply area, Indicates the annual maximum load value of the electrical load. represents the heat load value of the i-th load point in the j-th energy supply area, Indicates the annual maximum load value of the heat load. represents the cooling load value of the i-th load point in the j-th energy supply area, Indicates the annual maximum load value of cooling load. represents the weight of the electric load in the i-th load point, represents the weight of the heat load in the i-th load point, represents the weight of the cooling load in the i-th load point, satisfying:

[0030]

[0031] It represents the annual maximum load utilization hours of the electric load in the i-th load point, It represents the annual maximum load utilization hours of the heat load in the i-th load point, Indicates the annual maximum load utilization hours of the cooling load in the i-th load point. η e Represents the transmission efficiency of electric energy, η h Represents the transfer efficiency of thermal energy, η c Indicates the transmission efficiency of cold energy.

[0032] In some other possible implementations, the solution module is specifically used to: use an iterative centroid method to solve the energy station site selection model to obtain a site selection result.

[0033] Optionally, the site selection result satisfies:

[0034]

[0035] in, represents the position of the kth energy station in the first direction in the t+1th correction, represents the position of the kth energy station in the first direction in the tth correction. represents the position of the kth energy station in the second direction in the t+1th correction, represents the position of the kth energy station in the second direction in the tth correction. I represents the set of load points, It represents the distance between the i-th load point and the k-th energy station in the t-th correction. The first direction is perpendicular to the second direction.

[0036] In some other possible implementations, the correction module is specifically used to correct the range of each area and the site selection results using an alternating positioning-allocation algorithm.

[0037] It is conceivable that the embodiments of the present application can achieve optimal site selection of energy stations through cyclic iteration.

[0038] On the other hand, the present application also provides a computer device, including: one or more processors.

[0039] A processor is used to execute one or more programs.

[0040] When one or more programs are executed by one or more processors, the control method described above is implemented.

[0041] In another aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed, the control method described above is implemented.

[0042] Compared with the prior art, the present invention has the following advantages:

[0043] In the energy station site selection method based on the comprehensive load moment provided by the present application, the regional scope of the energy supply area is determined according to the initial position of the energy station. The pre-constructed energy station site selection model of each energy supply area is solved to obtain the site selection result of the energy station. Among them, the energy station site selection model is constructed with the goal of minimizing the comprehensive load moment of the energy station. After correcting the various regional scopes and site selection results, it can be seen that the present application realizes the site selection of the energy station with the goal of minimizing the comprehensive load moment of the energy station, which can reduce the loss of heat and cold energy of the energy station, reduce investment costs, and improve power supply reliability.

[0044] This application combines the electric load, heat load and cooling load to calculate the comprehensive load moment of the energy station, that is, it not only takes into account the electric load, but also comprehensively considers the heat load and cooling load, which not only improves the overall efficiency of the energy station including multiple load types, but also reduces the line investment cost.

[0045] This application distributes the load by using the Voronoi diagram to achieve the regional scope of the energy supply area, obtains the site selection result by constructing an energy station site selection model, and then uses the alternating positioning-allocation algorithm to correct each regional scope and site selection result to obtain the optimized site selection result and optimized regional scope, which can reduce the investment cost of the energy station. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the technical solutions in the present application or the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0047] Figure 1 This is a schematic flow chart of an energy station site selection method based on comprehensive load moment in an embodiment of the present application;

[0048] Figure 2 This is a schematic structural diagram of an energy station site selection device based on comprehensive load moment in an embodiment of the present application. DETAILED DESCRIPTION

[0049] The technical solution in this application will be described below with reference to the accompanying drawings.

[0050] The terms "first," "second," and the like in the description, embodiments, claims, and drawings of this application are used solely for descriptive purposes and are not to be construed as indicating or implying relative importance or order. Furthermore, the terms "including," "having," and any variations thereof are intended to cover non-exclusive inclusions, such as, for example, inclusion of a series of steps or units. A method, system, product, or apparatus is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0051] It should be understood that in this application, "at least one (item)" means one or more, and "plurality" means two or more. "And / or" is used to describe the association relationship of associated objects, indicating that three relationships may exist. For example, "A and / or B" can mean: only A exists, only B exists, and A and B exist at the same time, where A and B can be singular or plural. The character " / " generally indicates that the previous and next associated objects are in an "or" relationship. "At least one of the following items" or similar expressions refers to any combination of these items, including any combination of single items or plural items. For example, at least one of a, b or c can mean: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, c can be single or multiple.

[0052] Example 1:

[0053] The embodiment of the present application provides a method for selecting an energy station site based on a comprehensive load moment. Figure 1 As shown, the site selection method 100 includes the following steps:

[0054] Step S1: Determine the area of ​​the energy supply area according to the initial location of the energy station.

[0055] Step S2: Solve the pre-built energy station site selection model for each energy supply area to obtain the site selection result of the energy station. The energy station site selection model is constructed with the goal of minimizing the comprehensive load moment of the energy station.

[0056] Step S3: Modify the scope of each area and the site selection results.

[0057] In some possible implementations, determining the regional scope of the energy supply area according to the initial location of the energy station in step S1 includes:

[0058] Based on the initial location of the energy station, the load is distributed using the Voronoi diagram (i.e., Voronoi diagram) to obtain the regional scope of the energy station. The load includes electrical load, heating load, and cooling load.

[0059] Optionally, the energy station site selection model meets the following requirements:

[0060]

[0061] Among them, l k represents the comprehensive load moment of the kth energy station, d ik It represents the distance between the i-th load point and the k-th energy station. The energy stations correspond to the energy supply areas one by one. represents the load value of the electric load at the i-th load point in the j-th energy supply area, Indicates the annual maximum load value of the electrical load. represents the heat load value of the i-th load point in the j-th energy supply area, Indicates the annual maximum load value of the heat load. represents the cooling load value of the i-th load point in the j-th energy supply area, Indicates the annual maximum load value of cooling load. represents the weight of the electric load in the i-th load point, represents the weight of the heat load in the i-th load point, represents the weight of the cooling load in the i-th load point, satisfying:

[0062]

[0063] It represents the annual maximum load utilization hours of the electric load in the i-th load point, It represents the annual maximum load utilization hours of the heat load in the i-th load point, Indicates the annual maximum load utilization hours of the cooling load in the i-th load point. η e Represents the transmission efficiency of electric energy, η h Represents the transfer efficiency of thermal energy, η c Indicates the transmission efficiency of cold energy.

[0064] In some other possible implementations, in step S2, solving the pre-built energy station site selection model for each energy supply area to obtain the site selection result of the energy station includes:

[0065] The iterative center of gravity method is used to solve the energy station site selection model and obtain the site selection results.

[0066] For example, the site selection results meet the following requirements:

[0067]

[0068] in, represents the position of the kth energy station in the first direction in the t+1th correction, represents the position of the kth energy station in the first direction in the tth correction. represents the position of the kth energy station in the second direction in the t+1th correction, represents the position of the kth energy station in the second direction in the tth correction. I represents the set of load points, It represents the distance between the i-th load point and the k-th energy station in the t-th correction. The first direction is perpendicular to the second direction.

[0069] In some other possible implementations, the correction of each area range and site selection result in step S3 includes:

[0070] The alternating location-allocation algorithm is used to revise the scope and site selection results of each region.

[0071] Example 2:

[0072] Based on the same inventive concept, the embodiment of the present application also provides an energy station site selection device based on comprehensive load moment. Figure 2 As shown, the site selection device 200 may include:

[0073] The determination module 201 is used to determine the regional scope of the energy supply area according to the initial location of the energy station.

[0074] The solution module 202 is used to solve the pre-built energy station site selection model for each energy supply area to obtain the site selection result of the energy station. The energy station site selection model is constructed with the goal of minimizing the comprehensive load moment of the energy station.

[0075] The correction module 203 is used to correct the range of each area and the site selection results.

[0076] In some possible implementations, the determining module 201 is specifically configured to:

[0077] Based on the initial location of the energy station, the load is distributed using the Voronoi diagram to obtain the regional scope of the energy station. The load includes electrical load, heating load and cooling load.

[0078] For example, the energy station site selection model satisfies:

[0079]

[0080] Among them, l k represents the comprehensive load moment of the kth energy station, d ik It represents the distance between the i-th load point and the k-th energy station. The energy stations correspond to the energy supply areas one by one. represents the load value of the electric load at the i-th load point in the j-th energy supply area, Indicates the annual maximum load value of the electrical load. represents the heat load value of the i-th load point in the j-th energy supply area, Indicates the annual maximum load value of the heat load. represents the cooling load value of the i-th load point in the j-th energy supply area, Indicates the annual maximum load value of cooling load. represents the weight of the electric load in the i-th load point, represents the weight of the heat load in the i-th load point, represents the weight of the cooling load in the i-th load point, satisfying:

[0081]

[0082] It represents the annual maximum load utilization hours of the electric load in the i-th load point, It represents the annual maximum load utilization hours of the heat load in the i-th load point, Indicates the annual maximum load utilization hours of the cooling load in the i-th load point. η e Represents the transmission efficiency of electric energy, η h Represents the transfer efficiency of thermal energy, η c Indicates the transmission efficiency of cold energy.

[0083] In some other possible implementations, the solution module 202 is specifically used to solve the energy station site selection model using an iterative center of gravity method to obtain a site selection result.

[0084] Optionally, the site selection result satisfies:

[0085]

[0086] in, represents the position of the kth energy station in the first direction in the t+1th correction, represents the position of the kth energy station in the first direction in the tth correction. represents the position of the kth energy station in the second direction in the t+1th correction, represents the position of the kth energy station in the second direction in the tth correction. I represents the set of load points, It represents the distance between the i-th load point and the k-th energy station in the t-th correction. The first direction is perpendicular to the second direction.

[0087] In some other possible implementations, the correction module 203 is specifically configured to correct each area range and site selection result by using an alternating positioning-allocation algorithm.

[0088] Example 3:

[0089] Based on the same inventive concept, an embodiment of the present application further provides a computer device, which includes a processor and a memory, the memory being used to store a computer program, the computer program including program instructions, and the processor being used to execute the program instructions stored in the computer storage medium. The processor may be a central processing unit (CPU), or may be other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. It is the computing core and control core of the terminal, which is suitable for implementing one or more instructions, specifically suitable for loading and executing one or more instructions in the computer storage medium to implement the corresponding method flow or corresponding function, so as to implement the steps of the site selection method provided in the above embodiment.

[0090] Example 4:

[0091] Based on the same inventive concept, an embodiment of the present application also provides a computer-readable storage medium, specifically a computer-readable storage medium (Memory), which is a memory device in a computer device for storing programs and data. It is understandable that the computer-readable storage medium here can include both built-in storage media in the computer device and, of course, extended storage media supported by the computer device. The computer-readable storage medium provides a storage space that stores the operating system of the terminal. In addition, one or more instructions suitable for being loaded and executed by the processor are also stored in the storage space. These instructions can be one or more computer programs (including program codes). It should be noted that the computer-readable storage medium here can be a high-speed RAM memory or a non-volatile memory, such as at least one disk memory. The processor can load and execute one or more instructions stored in the computer-readable storage medium to implement the steps of the address selection method provided in the above embodiment.

[0092] Those skilled in the art will appreciate that embodiments of the application may be provided as methods, systems, or computer program products. Thus, the application may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the application may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0093] The application is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the application. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as a combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0094] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0095] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0096] The above are merely embodiments of the application and are not intended to limit the application. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the application are included in the scope of the claims of the pending application.

Claims

1. A method for selecting an energy station site based on comprehensive load moment, characterized in that: include: Determine the regional scope of the energy supply area based on the initial location of the energy station; Solving a pre-built energy station site selection model for each energy supply area to obtain a site selection result for the energy station; wherein the energy station site selection model is constructed with the goal of minimizing the comprehensive load moment of the energy station; The scope of each area and the site selection results are revised.

2. The site selection method according to claim 1, characterized in that: Determining the regional scope of the energy supply area according to the initial location of the energy station includes: According to the initial location of the energy station, the load is distributed using a Voronoi diagram to obtain the regional scope of the energy station; The load includes electrical load, thermal load and cooling load.

3. The site selection method according to claim 1, characterized in that: The energy station site selection model meets the following requirements: Among them, l k represents the comprehensive load moment of the kth energy station, d ik represents the distance between the i-th load point and the k-th energy station, where the energy stations correspond one-to-one to the energy supply areas; represents the load value of the electric load at the i-th load point in the j-th energy supply area, Indicates the annual maximum load value of the electrical load; represents the load value of the heat load of the i-th load point in the j-th energy supply area, Indicates the annual maximum load value of the heat load; represents the cooling load value of the i-th load point in the j-th energy supply area, Indicates the annual maximum load value of the cooling load; represents the weight of the electric load in the i-th load point, represents the weight of the heat load in the i-th load point, represents the weight of the cooling load in the i-th load point, satisfying: represents the annual maximum load utilization hours of the electric load in the i-th load point, represents the annual maximum load utilization hours of the heat load in the i-th load point, represents the annual maximum load utilization hours of the cooling load in the i-th load point; η e Represents the transmission efficiency of electric energy, η h Represents the transfer efficiency of thermal energy, η c Indicates the transmission efficiency of cold energy.

4. The site selection method according to claim 3, characterized in that: The site selection results meet the following requirements: in, represents the position of the kth energy station in the first direction in the t+1th correction, represents the position of the kth energy station in the first direction in the tth correction; represents the position of the kth energy station in the second direction in the t+1th correction, represents the position of the k-th energy station in the second direction in the t-th correction; I represents the set of load points, represents the distance between the i-th load point and the k-th energy station in the t-th correction; the first direction is perpendicular to the second direction.

5. The site selection method according to claim 1, characterized in that: Solving the pre-built energy station site selection model for each energy supply area to obtain the site selection result of the energy station includes: The iterative center of gravity method is used to solve the energy station site selection model to obtain the site selection result.

6. The site selection method according to claim 1, characterized in that: The correction of each area range and the site selection result includes: The alternating location-allocation algorithm is used to modify the scope of each region and the site selection results.

7. An energy station site selection device based on comprehensive load moment, characterized in that: include: A determination module, configured to determine the regional scope of the energy supply area according to the initial location of the energy station; A solution module, configured to solve a pre-built energy station site selection model for each energy supply area to obtain a site selection result for the energy station; wherein the energy station site selection model is constructed with the goal of minimizing the comprehensive load moment of the energy station; The correction module is used to correct the scope of each area and the site selection results.

8. The control device according to claim 7, characterized in that: The determining module is specifically configured to: According to the initial location of the energy station, the load is distributed using a Voronoi diagram to obtain the regional scope of the energy station; The load includes electrical load, thermal load and cooling load.

9. The control device according to claim 7, characterized in that: The energy station site selection model meets the following requirements: Among them, l k represents the comprehensive load moment of the kth energy station, d ik represents the distance between the i-th load point and the k-th energy station, where the energy stations correspond one-to-one to the energy supply areas; represents the load value of the electric load at the i-th load point in the j-th energy supply area, Indicates the annual maximum load value of the electrical load; represents the load value of the heat load of the i-th load point in the j-th energy supply area, Indicates the annual maximum load value of the heat load; represents the cooling load value of the i-th load point in the j-th energy supply area, Indicates the annual maximum load value of the cooling load; represents the weight of the electric load in the i-th load point, represents the weight of the heat load in the i-th load point, represents the weight of the cooling load in the i-th load point, satisfying: represents the annual maximum load utilization hours of the electric load in the i-th load point, represents the annual maximum load utilization hours of the heat load in the i-th load point, represents the annual maximum load utilization hours of the cooling load in the i-th load point; η e Represents the transmission efficiency of electric energy, η h Represents the transfer efficiency of thermal energy, η c Indicates the transmission efficiency of cold energy.

10. The control device according to claim 9, characterized in that: The site selection results meet the following requirements: in, represents the position of the kth energy station in the first direction in the t+1th correction, represents the position of the kth energy station in the first direction in the tth correction; represents the position of the kth energy station in the second direction in the t+1th correction, represents the position of the k-th energy station in the second direction in the t-th correction; I represents the set of load points, represents the distance between the i-th load point and the k-th energy station in the t-th correction; the first direction is perpendicular to the second direction.

11. The control device according to claim 7, characterized in that: The solution module is specifically used for: The iterative center of gravity method is used to solve the energy station site selection model to obtain the site selection result.

12. The control device according to claim 7, characterized in that: The correction module is specifically used for: The alternating location-allocation algorithm is used to modify the scope of each region and the site selection results.

13. A computer device, characterized in that: include: one or more processors; The processor is configured to store one or more programs; When the one or more programs are executed by the one or more processors, the control method according to any one of claims 1 to 6 is implemented.

14. A computer-readable storage medium, characterized in that A computer program is stored thereon, and when the computer program is executed, the control method according to any one of claims 1 to 6 is implemented.

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