Method for determining construction scheme of power grid infrastructure project, computing equipment and storage medium

Abstract

The invention relates to the field of computers, and discloses a method for determining a construction scheme of a power grid infrastructure project, computing equipment and a storage medium. The method comprises the following steps: determining an influence index set of each candidate power grid infrastructure project; for each candidate power grid infrastructure project, determining a target index from the influence index set, and calculating the demand degree of the project for each target index; based on the demand degree of each candidate power grid infrastructure project for each target index, obtaining the satisfaction degree of each candidate power grid infrastructure project for each first-level demand; and inputting the satisfaction degree of each candidate power grid infrastructure project to each first-level demand into a constructed power grid project construction scheme determination model, solving the model by taking the goal that the satisfaction degree of all the first-level demands reaches the highest, and outputting a construction scheme of the power grid infrastructure project in each to-be-constructed region. According to the method, a proper power grid project construction scheme can be quickly and accurately determined for each region, so that comprehensive decision support can be provided for planning of a power grid infrastructure project.

Description

Technical Field

[0001] The present invention relates to the field of computers, and in particular to a method for determining a construction plan for a power grid infrastructure project, a computing device and a storage medium. Background Art

[0002] With the development of social economy and the improvement of living standards, people's demand for electricity is increasing. In order to meet the growing demand for electricity, the investment in power grid construction is increasing, and the number of power grid infrastructure projects is also increasing. In this context, it is crucial to determine the power grid infrastructure projects to be built from a large number of power grid infrastructure projects for each area to be built.

[0003] Therefore, a method for determining the construction plan of power grid infrastructure projects is urgently needed to solve the above problems. Summary of the invention

[0004] To this end, the present invention provides a method, a computing device and a storage medium for determining a construction plan for a power grid infrastructure project, in an effort to solve or at least alleviate the above problems.

[0005] According to one aspect of the present invention, there is provided a method for determining a construction plan for a power grid infrastructure project, comprising: determining an influencing indicator set for each candidate power grid infrastructure project; for each candidate power grid infrastructure project, determining a target indicator from its influencing indicator set, and calculating the project's demand for each target indicator; based on the demand for each target indicator of each candidate power grid infrastructure project, obtaining the satisfaction of each candidate power grid infrastructure project for each primary demand, wherein the primary demand includes economic demand, safety demand and policy demand; inputting the satisfaction of each candidate power grid infrastructure project for each primary demand into a constructed power grid project construction plan determination model, solving the model with the goal of maximizing the satisfaction of all primary demands, and outputting a construction plan for the power grid infrastructure project in each area to be constructed.

[0006] Optionally, in the method for determining a construction plan for a power grid infrastructure project according to the present invention, a set of influencing indicators for each candidate power grid infrastructure project is determined, including: according to the voltage level of each candidate power grid infrastructure project, obtaining the set of influencing indicators for each candidate power grid infrastructure project from a pre-built power grid infrastructure project demand library, the power grid infrastructure project demand library including primary demands, secondary demands and influencing indicators at multiple voltage levels.

[0007] Optionally, in the method for determining a construction plan for a power grid infrastructure project according to the present invention, for each candidate power grid infrastructure project, a target indicator is determined from its influencing indicator set, including: for each candidate power grid infrastructure project, judging whether the index value of each influencing indicator is within the standard range of the influencing indicator, and determining the influencing indicator whose index value is not within the standard range as the target indicator.

[0008] Optionally, in the method for determining the construction plan of a power grid infrastructure project according to the present invention, the demand for each candidate power grid infrastructure project for its each target indicator is calculated, including: for each candidate power grid infrastructure project, calculating the deviation between the indicator value of each target indicator and the upper limit value or the lower limit value of the standard interval of the target indicator, and using the absolute values ​​of each obtained deviation as the demand for the project for each corresponding target indicator.

[0009] Optionally, in the method for determining the construction plan of a power grid infrastructure project according to the present invention, based on the demand of each candidate power grid infrastructure project for its each target indicator, the satisfaction of each candidate power grid infrastructure project for each primary demand is obtained, including: establishing a satisfaction matrix of each candidate power grid infrastructure project for its secondary demand according to the demand of each candidate power grid infrastructure project for its each target indicator; based on the ANP method, calculating the first weight matrix of each candidate power grid infrastructure project for its secondary demand and the second weight matrix of the secondary demand for the primary demand; based on the obtained satisfaction matrix, the first weight matrix and the second weight matrix, obtaining the satisfaction of each candidate power grid infrastructure project for each primary demand.

[0010] Optionally, in the method for determining a construction plan for a power grid infrastructure project according to the present invention, the power grid project construction plan determination model includes an objective function, and the objective function includes:

[0011]

[0012]

[0013]

[0014] In the formula, maxf1, maxf2, and maxf3 represent the maximum satisfaction of economic needs, the maximum satisfaction of safety needs, and the maximum satisfaction of policy needs, respectively. i , b i 、c i They represent the satisfaction of the i-th candidate power grid infrastructure project for economic demand, safety demand, and policy demand, respectively. i is a decision variable, indicating whether to select the i-th candidate power grid infrastructure project. Its value is 0 or 1, and n is the number of candidate power grid infrastructure projects.

[0015] Optionally, in the method for determining a construction plan for a power grid infrastructure project according to the present invention, the power grid project construction plan determination model includes constraints, and the constraints include funding constraints, project constraints, regional constraints, and minimum demand constraints.

[0016] Optionally, in the method for determining a construction plan for a power grid infrastructure project according to the present invention, the capital constraint includes:

[0017]

[0018] In the formula, I i represents the funds required to invest in the i-th candidate power grid infrastructure project, I max Indicates the total funds limit.

[0019] Optionally, in the method for determining a construction plan for a power grid infrastructure project according to the present invention, the project constraints include:

[0020]

[0021] Where N min represents the lower limit of the total number of power grid infrastructure projects invested, N max Indicates the upper limit of the total number of investments in power grid infrastructure projects.

[0022] Optionally, in the method for determining a construction plan for a power grid infrastructure project according to the present invention, the regional constraints include:

[0023]

[0024] Where M j represents the area to be constructed j, and j represents the number of areas to be constructed.

[0025] Optionally, in the method for determining a construction plan for a power grid infrastructure project according to the present invention, the minimum demand constraint includes:

[0026]

[0027]

[0028]

[0029] In the formula, A min Indicates the lower limit of the total economic demand satisfaction of all selected power grid infrastructure projects; B min represents the lower limit of the total safety demand satisfaction of all selected power grid infrastructure projects; C min It represents the lower limit of the degree to which all selected power grid infrastructure projects meet the total policy demand.

[0030] According to another aspect of the present invention, there is provided a computing device, comprising: at least one processor; and a memory storing program instructions, wherein the program instructions are configured to be suitable for execution by the at least one processor, and the program instructions include instructions for executing the method for determining a construction plan for a power grid infrastructure project according to the present invention.

[0031] According to another aspect of the present invention, a readable storage medium storing program instructions is provided. When the program instructions are read and executed by a computing device, the computing device executes the method for determining a construction plan for a power grid infrastructure project according to the present invention.

[0032] In summary, the present invention provides a method for determining a construction plan for a power grid infrastructure project, which can quickly and accurately determine a suitable construction plan for each area to be constructed from a large number of power grid infrastructure projects, thereby providing comprehensive decision support for the planning and implementation of power grid infrastructure projects, which is conducive to promoting the sustainable development of power supply. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] To achieve the above and related purposes, certain illustrative aspects are described herein in conjunction with the following description and accompanying drawings, which indicate various ways in which the principles disclosed herein can be practiced, and all aspects and their equivalents are intended to fall within the scope of the claimed subject matter. The above and other purposes, features and advantages of the present disclosure will become more apparent by reading the following detailed description in conjunction with the accompanying drawings. Throughout the present disclosure, the same reference numerals generally refer to the same parts or elements.

[0034] Figure 1 A structural block diagram of a computing device 100 according to an embodiment of the present invention is shown;

[0035] Figure 2 A flow chart of a method 200 for determining a construction plan for a power grid infrastructure project according to an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0036] The exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0037] Figure 1A block diagram of the physical components (i.e., hardware) of a computing device 100 is shown. In a basic configuration, the computing device 100 includes at least one processing unit 102 and a system memory 104. According to one aspect, depending on the configuration and type of the computing device, the processing unit 102 can be implemented as a processor. The system memory 104 includes, but is not limited to, volatile storage (e.g., random access memory), non-volatile storage (e.g., read-only memory), flash memory, or any combination of such memories. According to one aspect, the system memory 104 includes an operating system 105 and a program module 106, and the program module 106 includes a solution determination module 120, which is configured to execute the method 200 of determining a construction solution for a power grid infrastructure project of the present invention.

[0038] According to one aspect, operating system 105 is suitable for controlling the operation of computing device 100, for example. Furthermore, examples are practiced in conjunction with graphics libraries, other operating systems, or any other application programs, and are not limited to any particular application or system. Figure 1 This basic configuration is illustrated in FIG. 1 by those components within dashed line 108. According to one aspect, computing device 100 has additional features or functionality. For example, according to one aspect, computing device 100 includes additional data storage devices (removable and / or non-removable), such as magnetic disks, optical disks, or tapes. Such additional storage Figure 1 1 is illustrated by removable storage 109 and non-removable storage 110.

[0039] As stated above, according to one aspect, program modules are stored in the system memory 104. According to one aspect, the program modules may include one or more application programs, and the present invention does not limit the type of application programs, for example, the application programs may include: email and contact applications, word processing applications, spreadsheet applications, database applications, slide show applications, drawing or computer-aided applications, web browser applications, etc.

[0040] According to one aspect, the examples may be practiced on a circuit comprising discrete electronic components, a packaged or integrated electronic chip containing logic gates, a circuit utilizing a microprocessor, or a single chip containing electronic components or a microprocessor. Figure 1Each or many components shown in can be integrated into a system on a chip (SOC) on a single integrated circuit to practice examples. According to one aspect, such a SOC device may include one or more processing units, a graphics unit, a communication unit, a system virtualization unit, and various application functions, all of which are integrated (or "burned") into a chip substrate as a single integrated circuit. When operated via SOC, the functions described in this article can be operated via a dedicated logic integrated with other components of the computing device 100 on a single integrated circuit (chip). Embodiments of the present invention can also be practiced using other technologies capable of performing logical operations (such as AND, OR, and NOT), including but not limited to mechanical, optical, fluid, and quantum technologies. In addition, embodiments of the present invention can be practiced in a general-purpose computer or in any other circuit or system.

[0041] According to one aspect, the computing device 100 may also have one or more input devices 112, such as a keyboard, a mouse, a pen, a voice input device, a touch input device, etc. Output devices 114 may also be included, such as a display, a speaker, a printer, etc. The aforementioned devices are examples and other devices may also be used. The computing device 100 may include one or more communication connections 116 that allow communication with other computing devices 118. Examples of suitable communication connections 116 include, but are not limited to: RF transmitter, receiver and / or transceiver circuits; Universal Serial Bus (USB), parallel and / or serial ports.

[0042] The term computer-readable medium as used herein includes computer storage media. Computer storage media may include volatile and non-volatile, removable and non-removable media implemented in any method or technology for storing information (e.g., computer-readable instructions, data structures, or program modules). System memory 104, removable storage 109, and non-removable storage 110 are all examples of computer storage media (i.e., memory storage). Computer storage media may include random access memory (RAM), read-only memory (ROM), electrically erasable read-only memory (EEPROM), flash memory or other memory technology, CD-ROM, digital versatile disk (DVD) or other optical storage, cassettes, tapes, disk storage or other magnetic storage devices, or any other products that can be used to store information and can be accessed by computer device 100. According to one aspect, any such computer storage medium can be a part of computing device 100. Computer storage media do not include carrier waves or other propagated data signals.

[0043] According to one aspect, communication media is implemented by computer readable instructions, data structures, program modules, or other data in a modulated data signal (e.g., a carrier wave or other transport mechanism), and includes any information delivery media. According to one aspect, the term "modulated data signal" describes a signal that has one or more characteristics set or changed in a manner that encodes information in the signal. By way of example and not limitation, communication media includes wired media such as a wired network or direct-wired connection, and wireless media such as acoustic, radio frequency (RF), infrared, and other wireless media.

[0044] Figure 2 A flowchart of a method 200 for determining a construction plan for a power grid infrastructure project according to an embodiment of the present invention is shown. The method 200 is suitable for determining a construction plan for a power grid infrastructure project on a computing device (eg Figure 1 Executed in the computing device 100 shown in FIG. Figure 2 As shown, the method 200 begins at 210 .

[0045] In 210, the impact index set of each candidate power grid infrastructure project is determined. In some embodiments, a power grid infrastructure project demand library can be pre-built, which can specifically include primary demand, secondary demand and impact index, and the primary demand can include economic demand, policy demand and safety demand.

[0046] Among them, the secondary demand under economic demand and the corresponding influencing factor indicators mainly include: the demand to reduce the average electricity purchase price, and its related indicators include cross-provincial and cross-regional electricity trading and acceptance of electricity saving gaps; the demand to meet the new load, and its related indicators include capacity load ratio, available power generation power, power supply radius, etc.; the demand to increase the unit asset electricity sales, and its related indicators include unit grid asset electricity sales; the demand for access to electric vehicle charging and swapping facilities, and its related indicators include the number of newly built charging and swapping facilities.

[0047] The secondary demand under policy demand and the corresponding influencing factor indicators mainly include: the demand for rural power grid transformation, and its related indicators include the average distribution capacity per rural household; the demand for coal-to-electricity conversion, and its related indicators include the number of households using coal for heating, the standard coal consumption for coal-fired heating, and the CO2 emissions for coal-fired heating; the demand for power supply security for electricity users, and its related indicators include the area of ​​target groups without electricity and power shortage; the demand for transformation of high-loss distribution transformers, and its related indicators include transformer efficiency, transformer no-load loss, and transformer load loss; the demand for railway power supply, and its related indicators include railway demand electricity; the demand for power access of distribution networks, and its related indicators include the proportion of clean energy consumption, the amount of abandoned wind, solar and water; and the demand for ultra-high voltage and supporting project construction.

[0048] Safety requirements mainly involve solving hidden dangers in the operation of power grid infrastructure projects and improving a series of requirements for the stability of power grid operation. The main secondary requirements and corresponding influencing factors are as follows.

[0049] The need to optimize the grid structure, and its related indicators include the proportion of temporary stability control lines, power supply reliability, the number of bus nodes where the short-circuit current exceeds 80% of the switch breaking capacity, the proportion of bus nodes where the short-circuit current exceeds 80% of the switch breaking capacity, the number of bus nodes where the short-circuit current exceeds 100% of the switch breaking capacity, the proportion of bus nodes where the short-circuit current exceeds 100% of the switch breaking capacity, and the interconnection rate.

[0050] Strengthen the connection between county power grids and the main grid. Related indicators include the number of areas where the county power grid is connected to the main grid by only one 110 (66) kV line; the number of areas where the voltage level of the connecting line is 35 kV or below; the number of areas where the county power grid is connected to the main grid by more than one 110 (66) kV high-voltage line, but all of them come from the same substation; the number of areas where the county power grid is connected to the main grid by more than one 110 (66) kV high-voltage line, but there is a long-distance shared line corridor; although there are two or more lines from different substations, the power supply areas of each line cannot be transferred to each other, and when one of the lines is out of power, the power supply capacity of the county power grid is less than 50% of the maximum load of the county power grid, or the power supply of important users in the county cannot be guaranteed; the number of county power grids operating in isolated grids.

[0051] The demand for supporting substation transmission, and the corresponding indicators include the average load rate of the line and the maximum load rate of the line. The demand for heavy overload of equipment is solved, and the related indicators include the availability factor of transformer equipment, the availability factor of overhead line equipment, the maximum load rate of the line, the maximum load rate of transformer, the N-1 pass rate, and the N-2 pass rate of double-circuit lines on the same tower. The demand for low-voltage substations is solved, and the related indicators include the voltage at the beginning and end of the line, the power supply radius, the cross-sectional area of ​​the line, and the number of users with overcapacity.

[0052] The need to solve the problem of power transmission. The power grid is a whole connected by transmission lines and transformers. Since the transmission power of the transmission line has a certain limit, when the power is output or exchanged, the weakest section may cause transmission obstruction, thus causing power transmission problems. Among them, the indicators related to the need to solve the problem of power transmission include the maximum load rate of the line and the cross-sectional area of ​​each section of the power supply line.

[0053] Furthermore, in some embodiments, the power grid infrastructure project demand library can also be divided into four categories: 500kV and above, 220kV, 110 and 35kV, and 10kV and below. Each category includes three primary demands: economic demand, policy demand, and safety demand, as well as secondary demands and influencing factor indicators corresponding to each primary demand, as follows. Table 1 shows the power grid infrastructure project demand library for voltage levels of 10kV and below, Table 2 shows the power grid infrastructure project demand library for voltage levels of 110 and 35kV, Table 3 shows the power grid infrastructure project demand library for voltage levels of 220kV, and Table 4 shows the power grid infrastructure project demand library for voltage levels of 500kV and above.

[0054]

[0055]

[0056] Table 1

[0057]

[0058]

[0059] Table 2

[0060]

[0061] Table 3

[0062]

[0063]

[0064] Table 4

[0065] Based on this, according to an embodiment of the present invention, the influencing index set of each candidate power grid infrastructure project can be obtained from the pre-built power grid infrastructure project demand library according to the voltage level of each candidate power grid infrastructure project. Specifically, for each candidate power grid infrastructure project, the power grid infrastructure project demand library of its voltage level category is searched, and all influencing factor indicators in this demand library are grouped into a set as the influencing index set of the candidate power grid infrastructure project.

[0066] In addition, it should be noted that candidate power grid infrastructure projects may include power grid construction and expansion renovation projects of headquarters (branches) and provincial companies; construction and expansion renovation projects of pumped storage power stations and conventional hydropower stations managed by new energy companies, and conventional hydropower stations managed by provincial companies; and independent secondary projects (with a total investment of more than 10 million yuan, included in the power grid infrastructure program management, and new or overall renovation projects of distribution automation, communications, and dispatching automation that are independent of the primary system of the transmission and transformation project), but are not limited to these.

[0067] Then, proceed to 220, for each candidate power grid infrastructure project, determine the target indicator from its influencing indicator set, and calculate the demand of the project for each target indicator. Among them, regarding each influencing indicator in the pre-built power grid infrastructure project demand library, according to an embodiment of the present invention, the "Urban Power Grid Planning Guidelines" revised in 2006 can be used as a guide, and the equipment standard values ​​specified in the guidelines can be used as reference standards for each indicator to determine the standard range of each influencing indicator, thereby forming a "Urban Power Grid Demand Judgment Index Standard".

[0068] Based on this, in some embodiments, the target indicator can be determined from the influencing indicator set of each candidate power grid infrastructure project in the following manner: Specifically, for each candidate power grid infrastructure project, it is determined whether the index value of each influencing indicator is within the standard interval of the influencing indicator, and the influencing indicator whose index value is not within the standard interval is determined as the target indicator.

[0069] After determining the target indicators of each candidate power grid infrastructure project, according to an embodiment of the present invention, for each candidate power grid infrastructure project, the deviation between the index value of each target indicator and the upper limit value or lower limit value of the standard interval of the target indicator can be calculated, and the absolute value of each deviation obtained can be used as the demand of the project for each corresponding target indicator. Specifically, for a candidate power grid infrastructure project, when calculating the deviation between the index value of each target indicator and the upper limit value or lower limit value of the standard interval of the target indicator, the value of the upper limit value and the lower limit value of the standard interval of the target indicator that is close to the index value of the target indicator (that is, the value of the upper limit value and the lower limit value that has the smallest absolute value of the difference with the index value of the target indicator) can be first determined as the target limit value, and then the deviation between the index value of the target indicator and the index value of the target indicator is calculated, and the absolute value of the deviation is used as the demand of the candidate power grid infrastructure project for the target indicator.

[0070] Among them, the membership function is a mathematical tool used to characterize fuzzy sets. In order to describe the membership relationship of element u to a fuzzy set on U, due to the ambiguity of this relationship, it will use a value taken from the interval [0, 1] instead of the two values ​​0 and 1 to describe it, indicating the "real degree" of the element belonging to a fuzzy set.

[0071] Based on this, it can be assumed that the domain U is a real number domain, which is a set of upper limit values ​​of each indicator interval in the "urban power grid demand judgment standard", and A represents "high demand". For each indicator, a corresponding standard interval can be found in the "urban power grid demand judgment standard". If an indicator in the "urban power grid demand judgment standard" of a region is not in its standard interval, it is judged that the regional power grid has the demand corresponding to this indicator. If a certain indicator value is in its standard interval, in some embodiments, the distance between the indicator and the upper limit of the interval can be judged by the function in formula (1), and the demand degree corresponding to the indicator in the region can be judged. The closer the indicator value is to the upper limit, the greater the demand; the farther the indicator value is from the upper limit, the smaller the demand. Specifically, it can be set that when A(x)∈[0,0.3], the demand is small; when A(x)∈[0.3,0.6], the demand is average; when A(x)∈[0.6,1], the demand is large.

[0072] Positive indicator, when the indicator value is larger, the demand is greater:

[0073]

[0074] Among them, a is the upper limit of the standard reference interval, and k is the reference coefficient, which is set according to different indicator values.

[0075] Inverse indicator, when the indicator value is larger, the demand is smaller:

[0076]

[0077] Among them, a is the upper limit of the standard reference interval, and k is the reference coefficient, which is set according to different indicator values.

[0078] At this point, the demand for each candidate power grid infrastructure project for its various target indicators is obtained. Then, enter 230, based on the demand for each candidate power grid infrastructure project for its various target indicators, obtain the satisfaction of each candidate power grid infrastructure project for each primary demand. Among them, in some embodiments, a satisfaction matrix of each candidate power grid infrastructure project for its secondary demand can be established based on the demand for each candidate power grid infrastructure project for its various target indicators. Then, based on the ANP method, calculate the first weight matrix of each candidate power grid infrastructure project for its secondary demand and the second weight matrix of the secondary demand for the primary demand. Finally, based on the obtained satisfaction matrix, the first weight matrix and the second weight matrix, obtain the satisfaction of each candidate power grid infrastructure project for each primary demand.

[0079] In other words, based on the degree of indicator deviation calculated by the above deviation assessment, the project cause diagnosis method is used to construct a mapping relationship from the influencing indicator to the secondary demand of the project, and then the same method is used to construct a mapping relationship from the secondary demand of the project to the primary demand, so as to determine the current project's demand for economy, safety, policy, etc. On this basis, a quantitative mapping relationship is established from different projects to influencing indicators based on current demand, and finally the satisfaction of each project with the primary demand is calculated through the project demand cause diagnosis method.

[0080] Among them, when establishing the mapping relationship between candidate power grid infrastructure projects and influencing indicators, and the mapping relationship between influencing indicators, secondary demands and primary demands, in order to quantitatively determine the degree of influence of project construction indicators, in some embodiments, the ANP method can be used for quantitative evaluation to determine the benefit satisfaction of each project for various secondary demands and various primary demands.

[0081] The ANP method, or network analysis method, is proposed on the basis of the AHP method. It establishes a network structure based on the relationship between various risk factors, taking into account the influence relationship between factors at various levels and the feedback effect of upper-level factors on lower-level factors. According to an embodiment of the present invention, the control layer can be targeted at economy, safety, and policy, with meeting the new load demand, conventional power supply delivery, power supply access, reducing energy consumption, optimizing grid structure, solving equipment overload, eliminating safety hazards, coal-to-electricity policy, rural power grid transformation policy, and remote area electrification policy as the criterion layer, and each candidate power grid infrastructure project is analyzed as the solution layer.

[0082] Specifically, taking the first-level requirements of the control layer as the target, each element set (i.e., each second-level requirement) U in the network layer i (i=1,2,…,n) as the criterion, using the five-scale method, the other secondary demand element sets U j (=1,2,…,n) for U i The degree of influence is scored by dominance to obtain a comparison matrix, and the eigenvector of each comparison matrix is ​​calculated using the eigenroot algorithm to obtain the weight matrix P of the secondary demand:

[0083]

[0084] Then, the secondary requirement element set U of each project is used i The element e in (i=1,2,…,n) il (l=1,2,…,ki) is used as the criterion to calculate the supermatrix W between the secondary requirements of each project:

[0085]

[0086] Next, multiply each submatrix in the supermatrix by a weight, where the weight is the element in the matrix P, to obtain the weighted supermatrix:

[0087]

[0088] After that, the corresponding eigenvector is calculated and normalized:

[0089]

[0090]

[0091] but is the desired eigenvector, i.e., the weights of each candidate power grid infrastructure project for each indicator factor of the secondary demand. For the sake of convenience, it is called the first weight matrix. Similarly, the weights of the secondary demand for the primary demand can be obtained: That is the second weight matrix.

[0092] On the basis of the weight values, the satisfaction index matrix of each project for the secondary demand index is established:

[0093]

[0094] After that, the weighted average can be used to obtain the weighted matrix of the degree of satisfaction of the secondary demand from the impact indicators:

[0095]

[0096] Furthermore, by weighting, we can get the matrix of the degree to which the project meets the regional level needs:

[0097]

[0098] In the formula, It represents the generalized fuzzy synthesis operation. The more commonly used operators are the (+, ×) operator, which is the weighted average operator.

[0099] At this point, the satisfaction of each candidate power grid infrastructure project for each primary demand is obtained. Then, entering 240, the satisfaction of each candidate power grid infrastructure project for each primary demand is input into the constructed power grid project construction plan determination model, and the model is solved with the goal of achieving the highest satisfaction of all primary demands, and the construction plan of the power grid infrastructure project in each area to be constructed is output.

[0100] Among them, the primary requirements in the present invention include economy, safety and policy. The planned power grid project should meet the above three goals of the regional power grid. Therefore, according to an embodiment of the present invention, a multi-objective decision-making method can be used to integrate the three goals to determine the optimal construction plan for the power grid infrastructure project.

[0101] Specifically, the constructed power grid project construction plan determination model may include an objective function and constraint conditions. Among them, the objective function may include:

[0102]

[0103]

[0104]

[0105] In the formula, maxf1, maxf2, and max3 represent the maximum satisfaction of economic needs, the maximum satisfaction of safety needs, and the maximum satisfaction of policy needs, respectively. i 、b i 、c i They represent the satisfaction of the i-th candidate power grid infrastructure project for economic demand, safety demand, and policy demand, respectively. i is a decision variable, indicating whether to select the i-th candidate power grid infrastructure project. Its value is 0 or 1, and n is the number of candidate power grid infrastructure projects.

[0106] The constraints corresponding to the objective function include funding constraints, project constraints, regional constraints, and minimum demand constraints. Specifically:

[0107] Funding constraints refer to the need to consider the total investment funds when selecting projects. The sum of all project funds cannot exceed the total funding limit, including:

[0108]

[0109] In the formula, I i represents the funds required to invest in the i-th candidate power grid infrastructure project, I max Indicates the total funds limit.

[0110] Project constraints refer to the final decision on the number of projects based on demand that must meet a certain range, including:

[0111]

[0112] Where N min represents the lower limit of the total number of power grid infrastructure projects invested, N max Indicates the upper limit of the total number of investments in power grid infrastructure projects.

[0113] Regional constraints refer to the fact that when selecting power grid infrastructure projects to meet demand in the areas to be built, it is necessary to consider that there must be power grid infrastructure projects selected for investment in each area to be built, including:

[0114]

[0115] Where M j represents the area to be constructed j, and k represents the number of areas to be constructed.

[0116] Minimum demand constraints refer to the fact that when meeting economic, safety, policy and other requirements, in order to prevent a single requirement from being met too low, the degree of satisfaction of each requirement should have a certain lower limit, including:

[0117]

[0118]

[0119]

[0120] In the formula, A min Indicates the lower limit of the total economic demand satisfaction of all selected power grid infrastructure projects; B min represents the lower limit of the total safety demand satisfaction of all selected power grid infrastructure projects; C min It represents the lower limit of the degree to which all selected power grid infrastructure projects meet the total policy demand.

[0121] In this way, the satisfaction of each candidate power grid infrastructure project for each primary demand is input into the constructed power grid project construction plan determination model, and the economic demand, safety demand, and policy demand satisfaction are maximized, and the funding constraint, project constraint, regional constraint, and minimum demand constraint are used as constraints. The candidate power grid infrastructure project is screened, and the construction plan of the power grid infrastructure project in each area to be constructed can be obtained. Among them, the construction plan of the power grid infrastructure project in each area to be constructed output by the model can specifically be an association table between each area to be constructed and the power grid infrastructure project to be established, and the present invention is not limited to this. In addition, when solving the model, an improved particle swarm algorithm can be used. Of course, this is only an example, and the present invention is not limited to this.

[0122] According to the method for determining the construction plan of power grid infrastructure projects of the present invention, first, by constructing a power grid infrastructure project demand library, the project demand and influencing factors are analyzed. Then, a demand cause analysis method is constructed based on fuzzy membership function, and the ANP method is used to quantitatively evaluate the project demand and diagnose the cause of project demand. Finally, a project screening strategy based on a multi-objective strategy is established with economic demand, safety demand, and policy demand as the target, and a multi-objective optimization model is established. The projects are screened with capital constraints, project constraints, regional constraints, minimum demand, etc. as constraints, and finally the construction plan of the power grid infrastructure projects in each area to be constructed is obtained. It can be seen that the present invention can quickly and accurately determine the appropriate construction plan for each area to be constructed from a large number of power grid infrastructure projects, thereby providing comprehensive decision support for the planning and implementation of power grid infrastructure projects, which is conducive to promoting the sustainable development of power supply.

[0123] The various techniques described herein may be implemented in combination with hardware or software, or a combination thereof. Thus, the method and apparatus of the present invention, or some aspects or parts of the method and apparatus of the present invention may be in the form of program codes (i.e., instructions) embedded in a tangible medium, such as a removable hard disk, a USB flash drive, a floppy disk, a CD-ROM, or any other machine-readable storage medium, wherein when the program is loaded into a machine such as a computer and executed by the machine, the machine becomes a device for practicing the present invention.

[0124] In the case where the program code is executed on a programmable computer, the computing device generally includes a processor, a storage medium readable by the processor (including volatile and non-volatile memory and / or storage elements), at least one input device, and at least one output device. The memory is configured to store the program code; the processor is configured to execute the method of determining the construction plan of a power grid infrastructure project according to the instructions in the program code stored in the memory.

[0125] By way of example and not limitation, readable media include readable storage media and communication media. Readable storage media stores information such as computer readable instructions, data structures, program modules or other data. Communication media generally embody computer readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transmission mechanism, and include any information transfer medium. Any combination of the above is also included within the scope of readable media.

[0126] In the description provided herein, algorithms and displays are not inherently related to any particular computer, virtual system or other device. Various general purpose systems can also be used together with the examples of the present invention. According to the above description, it is obvious that the structure required for constructing such systems. In addition, the present invention is not directed to any specific programming language either. It should be understood that various programming languages ​​can be utilized to implement the content of the present invention described herein, and the above description of specific languages ​​is for the purpose of disclosing the best mode of the present invention.

[0127] In the description provided herein, a large number of specific details are described. However, it is understood that embodiments of the present invention can be practiced without these specific details. In some instances, well-known methods, structures and techniques are not shown in detail so as not to obscure the understanding of this description.

[0128] It should be understood that in order to streamline the present disclosure and aid in understanding one or more of the various inventive aspects, in the above description of exemplary embodiments of the present invention, various features of the present invention are sometimes grouped together into a single embodiment, figure, or description thereof. However, this method of disclosure should not be interpreted as reflecting an intention that the claimed invention requires more features than are expressly recited in each claim.

[0129] Those skilled in the art will appreciate that the modules or units or components of the devices in the examples disclosed herein may be arranged in the devices described in the embodiment, or alternatively may be located in one or more devices different from the devices in the examples. The modules in the foregoing examples may be combined into one module or may be divided into multiple submodules.

[0130] Those skilled in the art will appreciate that the modules in the devices in the embodiments may be adaptively changed and arranged in one or more devices different from the embodiments. The modules or units or components in the embodiments may be combined into one module or unit or component, and in addition they may be divided into a plurality of submodules or subunits or subcomponents. Except that at least some of such features and / or processes or units are mutually exclusive, all features disclosed in this specification (including the accompanying claims, abstracts and drawings) and all processes or units of any method or device disclosed in this manner may be combined in any combination. Unless otherwise expressly stated, each feature disclosed in this specification (including the accompanying claims, abstracts and drawings) may be replaced by an alternative feature providing the same, equivalent or similar purpose.

[0131] Furthermore, those skilled in the art will appreciate that although some embodiments described herein include certain features included in other embodiments but not other features, the combination of features from different embodiments is meant to be within the scope of the present invention and to form different embodiments.

[0132] In addition, some of the embodiments are described herein as methods or combinations of method elements that can be implemented by a processor of a computer system or by other devices that perform the functions. Therefore, a processor with necessary instructions for implementing the method or method elements forms a device for implementing the method or method elements. In addition, the elements described herein of the device embodiments are examples of devices for implementing the functions performed by the elements for the purpose of implementing the invention.

[0133] As used herein, unless otherwise specified, the use of ordinal numbers "first," "second," "third," etc. to describe common objects merely indicates that different instances of similar objects are involved, and is not intended to imply that the objects so described must have a given order in time, space, order, or in any other manner.

[0134] Although the present invention has been described according to a limited number of embodiments, it will be apparent to those skilled in the art, with the benefit of the above description, that other embodiments may be envisioned within the scope of the invention thus described. In addition, it should be noted that the language used in this specification is selected primarily for readability and teaching purposes, rather than for explaining or defining the subject matter of the present invention. Therefore, many modifications and variations will be apparent to those skilled in the art without departing from the scope and spirit of the appended claims. The disclosure of the present invention is illustrative, not restrictive, with respect to the scope of the present invention, which is defined by the appended claims.

Claims

1. A method for determining a construction plan for a power grid infrastructure project, comprising: Determine the impact indicator set for each candidate power grid infrastructure project; For each candidate power grid infrastructure project, determine the target indicators from its influencing indicator set, and calculate the project's demand for each target indicator; Based on the requirements of each candidate power grid infrastructure project for its target indicators, the satisfaction of each candidate power grid infrastructure project for each primary requirement is obtained, wherein the primary requirements include economic requirements, safety requirements and policy requirements; The satisfaction degree of each candidate power grid infrastructure project for each primary demand is input into the constructed power grid project construction plan determination model. With the goal of achieving the highest satisfaction degree of all primary demands, the model is solved and the construction plan of the power grid infrastructure project in each area to be constructed is output.

2. The method of claim 1, wherein: The determination of the impact indicator set of each candidate power grid infrastructure project includes: According to the voltage level of each candidate power grid infrastructure project, an impact indicator set of each candidate power grid infrastructure project is obtained from a pre-constructed power grid infrastructure project demand library, wherein the power grid infrastructure project demand library includes primary demands, secondary demands and impact indicators under multiple voltage levels.

3. The method according to claim 1 or 2, wherein: For each candidate power grid infrastructure project, target indicators are determined from its impact indicator set, including: For each candidate power grid infrastructure project, it is determined whether the index value of each influencing index is within the standard range of the influencing index, and the influencing index whose index value is not within the standard range is determined as the target index.

4. The method according to any one of claims 1 to 3, wherein: Calculate the demand for each candidate power grid infrastructure project for its various target indicators, including: For each candidate power grid infrastructure project, the deviation between the index value of each target indicator and the upper or lower limit of the standard range of the target indicator is calculated, and the absolute value of each deviation obtained is used as the demand degree of the project for each corresponding target indicator.

5. The method according to any one of claims 1 to 4, wherein: The step of obtaining the satisfaction of each candidate power grid infrastructure project for each primary demand based on the demand of each target indicator of each candidate power grid infrastructure project includes: According to the demand degree of each candidate power grid infrastructure project for its various target indicators, a satisfaction matrix of each candidate power grid infrastructure project for its secondary demand is established; Based on the ANP method, the first weight matrix of each candidate power grid infrastructure project to its secondary demand and the second weight matrix of the secondary demand to the primary demand are calculated; Based on the obtained satisfaction matrix, the first weight matrix and the second weight matrix, the satisfaction of each candidate power grid infrastructure project for each primary demand is obtained.

6. The method according to any one of claims 1 to 5, wherein: The power grid project construction plan determination model includes an objective function, and the objective function includes: In the formula, maxf1, maxf2, and maxf3 represent the maximum satisfaction of economic needs, the maximum satisfaction of safety needs, and the maximum satisfaction of policy needs, respectively. i , b i 、c i They represent the satisfaction of the i-th candidate power grid infrastructure project for economic demand, safety demand, and policy demand, respectively. i is a decision variable, indicating whether to select the i-th candidate power grid infrastructure project. Its value is 0 or 1, and n is the number of candidate power grid infrastructure projects.

7. The method according to any one of claims 1 to 6, wherein: The power grid project construction plan determination model includes constraints, which include funding constraints, project constraints, regional constraints and minimum demand constraints.

8. The method of claim 7, wherein: The funding constraints include: The project constraints include: The area constraints include: The minimum requirement constraints include: In the formula, I i represents the funds required to invest in the i-th candidate power grid infrastructure project, I max Indicates the total capital limit, N min represents the lower limit of the total number of power grid infrastructure projects invested, N max represents the upper limit of the total number of power grid infrastructure projects invested, M j represents the area to be built j, k represents the number of areas to be built, A min represents the lower limit of the total economic demand satisfaction of all selected power grid infrastructure projects, B min represents the lower limit of the total safety demand satisfaction of all selected power grid infrastructure projects, C min It represents the lower limit of the degree to which all selected power grid infrastructure projects meet the total policy demand.

9. A computing device comprising: at least one processor; as well as A memory storing program instructions, wherein the program instructions are configured to be executed by the at least one processor, and the program instructions include instructions for executing the method according to any one of claims 1 to 8.

10. A readable storage medium storing program instructions, when the program instructions are read and executed by a computing device, the computing device executes the method according to any one of claims 1 to 8.

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