Photovoltaic power generation project cost optimization method and device

Abstract

The invention provides a photovoltaic power generation project cost optimization method and device, and belongs to the technical field of photovoltaic power generation. The method comprises the steps of constructing a photovoltaic power generation project cost target function based on unit prices of a plurality of project quantities of a photovoltaic power generation project by taking the minimum photovoltaic power generation project cost as a target, and determining constraint conditions of the photovoltaic power generation project cost target function; performing optimization solving on the photovoltaic power generation project cost target function, and determining the optimal unit price of a plurality of project quantities of the photovoltaic power generation project meeting the constraint conditions; and generating a photovoltaic power generation project cost list based on the plurality of project quantities of the photovoltaic power generation project and the optimal unit prices of the plurality of project quantities, so that a user develops and constructs the photovoltaic power generation project according to the photovoltaic power generation project cost list. According to the method, the photovoltaic power generation project cost is minimized through an optimization algorithm, and accurate and transparent cost information is provided for a decision maker, so that risk assessment, control and decision making are supported.

Description

Technical Field

[0001] The present invention relates to the technical field of photovoltaic power generation, and in particular to a photovoltaic power generation project cost optimization method and a photovoltaic power generation project cost optimization device. Background Art

[0002] With the global energy transition and increasing demand for environmental protection, photovoltaic power generation, as a clean, renewable energy source, has seen rapid growth and has become a key development priority worldwide. However, the high cost of photovoltaic power generation projects has become a bottleneck hindering their further development. This high cost not only increases project investment risk but also reduces the economic competitiveness of photovoltaic power generation, discouraging many potential investors.

[0003] Currently, existing technologies are mainly optimized through the following aspects: (1) using more efficient photovoltaic modules and equipment to improve power generation efficiency, thereby reducing unit power generation costs; (2) reducing material and construction costs through large-scale procurement and standardized design; (3) using advanced engineering management methods and tools to improve construction efficiency and shorten the construction period.

[0004] However, existing technologies have the following problems: (1) They focus on the optimization of a single link or aspect, lacking systematic and holistic considerations; (2) During the optimization process, the refined management of the unit price of engineering quantities is often ignored, resulting in inaccurate cost control; (3) The generated cost information is often not transparent and detailed enough, making it difficult to meet the decision makers' needs for cost risk assessment and control. Summary of the Invention

[0005] The purpose of the embodiments of the present invention is to provide a method and device for optimizing the cost of photovoltaic power generation projects to solve the above-mentioned problems.

[0006] To achieve the above objectives, an embodiment of the present invention provides a method for optimizing photovoltaic power generation project costs, which includes: Based on the unit prices of multiple engineering quantities of photovoltaic power generation projects, with the goal of minimizing the cost of photovoltaic power generation projects, a photovoltaic power generation project cost objective function is constructed, and the constraints of the photovoltaic power generation project cost objective function are determined; Optimize and solve the cost objective function of photovoltaic power generation projects to determine the optimal unit price of multiple engineering quantities of photovoltaic power generation projects that meet the constraints; Based on multiple engineering quantities and optimal unit prices of the photovoltaic power generation project, a photovoltaic power generation project cost list is generated, and the photovoltaic power generation project cost list is sent to the user terminal, so that the user can develop and construct the photovoltaic power generation project according to the photovoltaic power generation project cost list.

[0007] Optionally, the multiple project quantities include: the number of 650Wp 210 type monocrystalline silicon, the number of 650Wp 182 type monocrystalline silicon, the number of 540Wp 210 type monocrystalline silicon, the number of 540Wp 182 type monocrystalline silicon, the weight of the fixed bracket, the weight of the fixed adjustable bracket, the weight of the flat single-axis tracking bracket, the length of the 3-meter prestressed concrete pile, the length of the 5-meter prestressed concrete pile, the length of the 2-meter cast-in-place pile, the length of the 5-meter cast-in-place pile, the number of 225kW string inverters, the number of 320kW string inverters, the number of box inverter integrated equipment, the length of the underground line, the length of the overhead line, the number of 330kV booster stations, the number of 220kV booster stations, the length of the access road, the length of the site road, the area of ​​requisitioned land, the area of ​​long-term leased land and the area of ​​temporary leased land.

[0008] Optionally, the photovoltaic power generation project cost objective function is: ;in, represents the minimum photovoltaic power generation project cost, represents the construction cost of photovoltaic power generation area, represents the construction cost of the booster station, represents the transportation engineering cost, represents the cost of auxiliary facilities for photovoltaic power generation projects, represents the construction land cost, Represents the preliminary design and investigation costs of photovoltaic power generation projects.

[0009] Optionally, the construction cost of the photovoltaic power generation area is calculated by the following method: ;in, represents the construction cost of photovoltaic power generation area, represents the construction cost of photovoltaic modules, represents the construction cost of photovoltaic module brackets, Indicates the cost of photovoltaic support infrastructure construction, represents the construction cost of convergence and power distribution equipment, represents the construction cost of the collector line, Represents the construction cost of the photovoltaic field.

[0010] Alternatively, the photovoltaic module construction cost is calculated as follows: ;in, represents the construction cost of photovoltaic modules, Indicates the quantity of 650Wp210 type single crystal silicon, Indicates the unit price of 650Wp 210 type monocrystalline silicon, Indicates the quantity of 650Wp 182 type single crystal silicon, Indicates the unit price of 650Wp 182 type monocrystalline silicon, Indicates the quantity of 540Wp 210 type single crystal silicon, Indicates the unit price of 540Wp210 type monocrystalline silicon, Indicates the quantity of 540Wp 182 type single crystal silicon, Indicates the unit price of 540Wp 182 type monocrystalline silicon; The cost of photovoltaic module support construction is calculated as follows: ;in, represents the construction cost of photovoltaic module brackets, Indicates the weight of the fixed bracket, Indicates the unit price of the fixed bracket, Indicates the weight of the fixed adjustable bracket, Indicates the unit price of fixed adjustable bracket, Indicates the weight of the flat single-axis tracking bracket. Indicates the unit price of a flat single-axis tracking bracket; The cost of photovoltaic support infrastructure construction is calculated in the following way: ; Among them, the cost of photovoltaic support infrastructure construction, Indicates the length of a 3-meter prestressed concrete pile, Indicates the unit price of 3-meter prestressed concrete piles, Indicates the length of a 5-meter prestressed concrete pile, Indicates the unit price of 5-meter prestressed concrete piles, Indicates the length of a 2-meter cast-in-place pile. Indicates the unit price of 2-meter cast-in-place piles. Indicates the length of a 5-meter cast-in-place pile. Indicates the unit price of 5-meter cast-in-place piles; The construction cost of the convergence and power transformation and distribution equipment is calculated as follows: ;in, represents the construction cost of convergence and power distribution equipment, Indicates the number of 225kW string inverters, Indicates the unit price of a 225kW string inverter. Indicates the number of 320kW string inverters, Indicates the unit price of a 320kW string inverter. Indicates the number of box-type inverter integrated devices. Indicates the unit price of the box-inverter integrated equipment; The construction cost of the collector line is calculated as follows: ;in, represents the construction cost of the collector line, Indicates the length of the underground line. Indicates the unit price of underground lines. Indicates the length of the overhead line, Indicates the unit price of overhead lines.

[0011] Alternatively, the construction cost of the booster station is calculated as follows: ;in, represents the construction cost of the booster station, Indicates the number of 330kV booster stations, Indicates the unit price of 330kV booster station, Indicates the number of 220kV booster stations, Indicates the unit price of 220kV booster station.

[0012] Optionally, the transportation project cost is calculated as follows: ;in, represents the transportation engineering cost, Indicates the length of the access road. Indicates the unit price of the access road, Indicates the length of the site road. Indicates the unit price of the site roads.

[0013] Alternatively, the construction land cost is calculated as follows: ;in, represents the construction land cost, Indicates the area of ​​land acquisition, Indicates the unit price of land acquisition, Indicates the area of ​​long-term leased land, Indicates the unit price of long-term land lease, Indicates the area of ​​temporary leased land, Indicates the unit price of temporary land rental.

[0014] Optionally, the constraints of the photovoltaic power generation project cost objective function are: ;in, Indicates the power of 650Wp 210 type monocrystalline silicon, Indicates the quantity of 650Wp 210 type monocrystalline silicon, Indicates the power of 650Wp 182 type single crystal silicon, Indicates the quantity of 650Wp 182 type single crystal silicon, Indicates the power of 540Wp 210 type monocrystalline silicon, Indicates the quantity of 540Wp 210 type single crystal silicon, Indicates the power of 540Wp 182 type single crystal silicon, Indicates the quantity of 540Wp 182 type single crystal silicon, Indicates the capacity of a 225kW string inverter. Indicates the number of 225kW string inverters, Indicates the capacity of a 320kW string inverter. Indicates the number of 320kW string inverters.

[0015] In a second aspect of the embodiments of the present invention, the present invention further provides a photovoltaic power generation project cost optimization device, comprising: A model building module is used to construct a photovoltaic power generation project cost objective function based on the unit prices of multiple engineering quantities of the photovoltaic power generation project, with the goal of minimizing the photovoltaic power generation project cost, and to determine the constraints of the photovoltaic power generation project cost objective function; The optimization solution module is used to optimize and solve the photovoltaic power generation project cost objective function and determine the optimal unit price of multiple engineering quantities of the photovoltaic power generation project that meets the constraint conditions; The list generation module is used to generate a photovoltaic power generation project cost list based on multiple project quantities and the optimal unit prices of multiple project quantities of the photovoltaic power generation project, and send the photovoltaic power generation project cost list to the user terminal so that the user can develop and construct the photovoltaic power generation project according to the photovoltaic power generation project cost list.

[0016] Beneficial effects of the present invention: (1) Cost minimization: By constructing and optimizing the objective function, the optimal unit price of multiple engineering quantities can be found under the premise of meeting the constraints, thereby minimizing the cost of photovoltaic power generation projects.

[0017] (2) Decision support: The detailed cost list generated based on actual data and optimization algorithms provides decision makers with accurate and transparent cost information, effectively supporting the risk assessment, control and decision-making of project costs.

[0018] Other features and advantages of the embodiments of the present invention will be described in detail in the subsequent detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The accompanying drawings are used to provide a further understanding of the embodiments of the present invention and constitute a part of the specification. Together with the following detailed description, they are used to explain the embodiments of the present invention, but do not constitute a limitation of the embodiments of the present invention. In the accompanying drawings: Figure 1 1 is a flow chart of a photovoltaic power generation project cost optimization method provided by an embodiment of the present invention; Figure 2 It is a structural schematic diagram of a photovoltaic power generation project cost optimization device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0020] The following describes the specific implementation of the embodiment of the present invention in detail with reference to the accompanying drawings. It should be understood that the specific implementation described herein is only used to illustrate and explain the embodiment of the present invention and is not used to limit the embodiment of the present invention.

[0021] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by those skilled in the art to which this application belongs. The terms used herein are only for the purpose of describing specific embodiments and are not intended to limit this application.

[0022] In the description of the embodiments of this application, the technical terms "first," "second," etc. are used only to distinguish different objects and should not be understood to indicate or imply relative importance or to implicitly indicate the quantity, specific order, or primary and secondary relationship of the indicated technical features. In the description of the embodiments of this application, the meaning of "plurality" is more than two, unless otherwise specifically defined.

[0023] Example 1 Please refer to Figure 1 , Figure 1 1 is a flow chart of a photovoltaic power generation project cost optimization method provided by an embodiment of the present invention, the method comprising the following steps: S100, based on the unit prices of multiple engineering quantities of the photovoltaic power generation project, with the goal of minimizing the cost of the photovoltaic power generation project, constructing a photovoltaic power generation project cost objective function, and determining the constraints of the photovoltaic power generation project cost objective function; It should be noted that the power generation scenarios of photovoltaic power generation projects include: "desert, Gobi, and wasteland". Different photovoltaic power generation engineering technology solutions can be divided according to the photovoltaic power generation scenario category and installed capacity. The following photovoltaic power generation engineering technology solutions are given as examples, as shown in Table 1 below: Table 1 Photovoltaic power generation engineering technology solutions

[0024] The photovoltaic power generation project cost objective function is obtained through the technical solution in Table 1. Specifically, the photovoltaic power generation project cost objective function is composed of the sum of six parts, including the photovoltaic power generation site construction cost, the booster station construction cost, the transportation project cost, the photovoltaic power generation project auxiliary facilities cost, the construction land cost and the photovoltaic power generation project preliminary design and investigation fee, as shown in Table 2 below. Each part of the cost is composed of the cost of multiple engineering quantities, and the cost of the engineering quantity is obtained by multiplying the engineering quantity in the subsequent Table 3 by the unit price corresponding to the engineering quantity in Table 4.

[0025] Table 2 Construction cost of photovoltaic power generation projects

[0026] In one embodiment, the plurality of project quantities include: the number of 650Wp 210 type monocrystalline silicon, the number of 650Wp 182 type monocrystalline silicon, the number of 540Wp 210 type monocrystalline silicon, the number of 540Wp 182 type monocrystalline silicon, the weight of the fixed bracket, the weight of the fixed adjustable bracket, the weight of the flat single-axis tracking bracket, the length of the 3-meter prestressed concrete pile, the length of the 5-meter prestressed concrete pile, the length of the 2-meter cast-in-place pile, the length of the 5-meter cast-in-place pile, the number of 225kW string inverters, the number of 320kW string inverters, the number of integrated box inverter devices, the length of the underground line, the length of the overhead line, the number of 330kV booster stations, the number of 220kV booster stations, the length of the access road, the length of the site road, the area of ​​land acquisition, the area of ​​long-term leased land, and the area of ​​temporary leased land. The following is an exemplary introduction to the project quantities, as shown in Table 3 below: Table 3 Quantity of photovoltaic power generation projects

[0027] The unit prices of various quantities of photovoltaic power generation projects are given below as an example, as shown in Table 4 below: Table 4 Unit price of photovoltaic power generation project

[0028] In one embodiment, the photovoltaic power generation project cost objective function is: ;in, represents the minimum photovoltaic power generation project cost, represents the construction cost of photovoltaic power generation area, represents the construction cost of the booster station, represents the transportation engineering cost, represents the cost of auxiliary facilities for photovoltaic power generation projects, represents the construction land cost, Represents the preliminary design and investigation costs of photovoltaic power generation projects.

[0029] In one embodiment, the construction cost of a photovoltaic power generation site is calculated as follows: ;in, represents the construction cost of photovoltaic power generation area, represents the construction cost of photovoltaic modules, represents the construction cost of photovoltaic module brackets, Indicates the cost of photovoltaic support infrastructure construction, represents the construction cost of convergence and power distribution equipment, represents the construction cost of the collector line, Represents the construction cost of the photovoltaic field.

[0030] Specifically, the construction cost of photovoltaic modules is calculated as follows: ;in, represents the construction cost of photovoltaic modules, Indicates the quantity of 650Wp210 type single crystal silicon, Indicates the unit price of 650Wp 210 type monocrystalline silicon, Indicates the quantity of 650Wp 182 type single crystal silicon, Indicates the unit price of 650Wp 182 type monocrystalline silicon, Indicates the quantity of 540Wp 210 type single crystal silicon, Indicates the unit price of 540Wp210 type monocrystalline silicon, Indicates the quantity of 540Wp 182 type single crystal silicon, Indicates the unit price of 540Wp 182 type monocrystalline silicon; Specifically, the construction cost of photovoltaic module brackets is calculated as follows: ;in, represents the construction cost of photovoltaic module brackets, Indicates the weight of the fixed bracket, Indicates the unit price of the fixed bracket, Indicates the weight of the fixed adjustable bracket, Indicates the unit price of fixed adjustable bracket, Indicates the weight of the flat single-axis tracking bracket. Indicates the unit price of a flat single-axis tracking bracket; Specifically, the cost of photovoltaic support infrastructure construction is calculated in the following way: ; Among them, the cost of photovoltaic support infrastructure construction, Indicates the length of a 3-meter prestressed concrete pile, Indicates the unit price of 3-meter prestressed concrete piles, Indicates the length of a 5-meter prestressed concrete pile, Indicates the unit price of 5-meter prestressed concrete piles, Indicates the length of a 2-meter cast-in-place pile. Indicates the unit price of 2-meter cast-in-place piles. Indicates the length of a 5-meter cast-in-place pile. Indicates the unit price of 5-meter cast-in-place piles; Specifically, the construction cost of convergence and power transformation and distribution equipment is calculated as follows: ;in, represents the construction cost of convergence and power distribution equipment, Indicates the number of 225kW string inverters, Indicates the unit price of a 225kW string inverter. Indicates the number of 320kW string inverters, Indicates the unit price of a 320kW string inverter. Indicates the number of box-type inverter integrated devices. Indicates the unit price of the box-inverter integrated equipment; Specifically, the construction cost of the collector line is calculated as follows: ;in, represents the construction cost of the collector line, Indicates the length of the underground line. Indicates the unit price of underground lines. Indicates the length of the overhead line, Indicates the unit price of overhead lines.

[0031] In one embodiment, the construction cost of the booster station is calculated as follows: ;in, represents the construction cost of the booster station, Indicates the number of 330kV booster stations, Indicates the unit price of 330kV booster station, Indicates the number of 220kV booster stations, Indicates the unit price of 220kV booster station.

[0032] In one embodiment, the transportation project cost is calculated as follows: ;in, represents the transportation engineering cost, Indicates the length of the access road. Indicates the unit price of the access road, Indicates the length of the site road. Indicates the unit price of the site roads.

[0033] In one embodiment, the construction land cost is calculated as follows: ;in, represents the construction land cost, Indicates the area of ​​land acquisition, Indicates the unit price of land acquisition, Indicates the area of ​​long-term leased land, Indicates the unit price of long-term land lease, Indicates the area of ​​temporary leased land, Indicates the unit price of temporary land rental.

[0034] In one embodiment, the constraints of the photovoltaic power generation project cost objective function are: ;in, Indicates the power of 650Wp 210 type monocrystalline silicon, Indicates the quantity of 650Wp 210 type monocrystalline silicon, Indicates the power of 650Wp 182 type single crystal silicon, Indicates the quantity of 650Wp 182 type single crystal silicon, Indicates the power of 540Wp 210 type monocrystalline silicon, Indicates the quantity of 540Wp 210 type single crystal silicon, Indicates the power of 540Wp 182 type single crystal silicon, Indicates the quantity of 540Wp 182 type single crystal silicon, Indicates the capacity of a 225kW string inverter. Indicates the number of 225kW string inverters, Indicates the capacity of a 320kW string inverter. Indicates the number of 320kW string inverters.

[0035] S200, optimizing and solving the photovoltaic power generation project cost objective function to determine the optimal unit price of multiple project quantities of the photovoltaic power generation project that meets the constraint conditions; Specifically, in an embodiment of the present invention, the photovoltaic power generation project cost objective function can be directly optimized and solved to obtain multiple engineering quantities of the optimal photovoltaic power generation project that meets the constraints of the photovoltaic power generation project cost objective function. The target optimization algorithm can also be used to optimize the photovoltaic power generation project cost objective function to obtain multiple engineering quantities of the optimal photovoltaic power generation project that meets the constraints of the photovoltaic power generation project cost objective function.

[0036] Objective optimization algorithms are a class of mathematical methods used to find the best solution to a problem, subject to given constraints, in order to maximize or minimize one or more objective functions. These algorithms are widely used in fields such as engineering, economics, decision science, and machine learning.

[0037] In one embodiment, multi-objective optimization algorithms include, but are not limited to, linear programming (LP), nonlinear programming (NLP), integer programming (IP), dynamic programming (DP), genetic algorithms (GA), particle swarm optimization (PSO), simulated annealing (SA), and neural network optimization. This embodiment of the present invention does not specifically limit this.

[0038] The following is a detailed introduction to the multi-objective optimization algorithm: Linear programming: Linear programming is a mathematical optimization method used to find the optimal value (maximum or minimum) of a linear objective function under given linear inequality or equality constraints. It is widely used in resource allocation, production planning, transportation problems, and other fields.

[0039] Nonlinear programming: Nonlinear programming is an optimization problem when at least one of the objective function or constraints is nonlinear. It is more complex than linear programming because nonlinear problems usually do not have a universal solution and require a tailored algorithm.

[0040] Integer programming: Integer programming is a special case of linear programming or nonlinear programming where the variables must be integers. In real-world problems, integer programming is used when the variables must be integers, such as project selection, equipment purchase, etc.

[0041] Dynamic programming: Dynamic programming is a method for solving complex problems in mathematics, management science, economics, bioinformatics, and other fields. It solves optimization problems by breaking them down into relatively simple subproblems and is particularly suitable for solving multi-stage decision-making processes.

[0042] Genetic Algorithm: A genetic algorithm is a heuristic search algorithm that simulates the principles of natural selection and genetics, optimizing solutions through selection, crossover, and mutation. It is suitable for solving complex problems that are difficult to solve with traditional optimization methods.

[0043] Particle Swarm Optimization: Particle swarm optimization is an optimization tool based on swarm intelligence. It simulates the social behavior of flocks of birds or schools of fish to find the optimal solution to a problem. Each particle represents a candidate solution in the problem space and adjusts its position by tracking its own historical best position and the best position of the entire swarm.

[0044] Simulated Annealing: Simulated annealing is a general probabilistic algorithm used to find the global optimal solution to a given problem. Inspired by the annealing process in solid materials, the algorithm gradually reduces the "temperature" (a control parameter) to avoid getting stuck in a local optimum, thereby exploring the global solution space.

[0045] Neural Network Optimization: Neural Network Optimization is a method of using artificial neural networks to solve optimization problems. It usually involves training a neural network to predict or classify data and minimizing the prediction error by adjusting the network's weights and biases.

[0046] In order to understand how to use the target optimization algorithm to optimize the photovoltaic power generation project cost objective function, the following example uses the genetic algorithm as an example: Step 1 (initialize the population): Determine the encoding method: First, determine how to encode the problem solution into chromosomes. Common encoding methods include binary encoding and real number encoding.

[0047] Generate an initial population: Randomly generate a certain number of chromosomes, each of which represents a possible solution (i.e., multiple engineering quantities of the photovoltaic power generation project). These chromosomes constitute the initial population.

[0048] Step 2 (Fitness Evaluation): Define the fitness function: The fitness function is used to evaluate the performance of each chromosome and is typically defined based on an objective function. In optimization problems, the fitness function is typically directly or inversely proportional to the value of the objective function (i.e., the cost of building a photovoltaic power plant).

[0049] Calculate fitness: Calculate the fitness value of each chromosome.

[0050] Step 3 (Selection): Selection operation: Chromosomes are selected to enter the next generation based on their fitness values. Common selection methods include roulette wheel selection and tournament selection. Chromosomes with higher fitness have a higher probability of being selected.

[0051] Step 4 (Crossover (recombination)): Determine intersection points: Randomly select one or more intersection points.

[0052] Crossover: Gene segments from two chromosomes are exchanged at the crossover point to generate new chromosomes. This process simulates genetic recombination in organisms.

[0053] Step 5 (Mutation): Determine the location of the variant: Randomly select one or more gene locations.

[0054] Mutating gene values: Changing the value of a gene at a selected position. For example, in binary encoding, changing 0 to 1 or 1 to 0. Mutation increases the diversity of the population.

[0055] Step 6 (generate new population): Generate new populations through selection, crossover and mutation operations.

[0056] Step 7 (termination condition judgment): Check termination conditions: Determine whether the termination conditions are met, such as reaching the maximum number of iterations, fitness value convergence, etc. If the termination conditions are met, the algorithm ends; otherwise, return to step 2.

[0057] Step 8 (output results): The optimal chromosome and its corresponding objective function value are output as the final result.

[0058] It is understandable that, considering that the engineering quantity of photovoltaic projects cannot be changed at will, the unit price of the engineering quantity is optimized to achieve the purpose of optimizing the construction cost.

[0059] S300, generating a photovoltaic power generation project cost list based on multiple project quantities and optimal unit prices of the multiple project quantities, and sending the photovoltaic power generation project cost list to a user terminal, so that the user can develop and construct the photovoltaic power generation project according to the photovoltaic power generation project cost list.

[0060] For ease of understanding, the following is an example of a photovoltaic power generation project cost list, as shown in Table 5: Table 5 Photovoltaic power generation project cost list

[0061] In one embodiment, specific implementation methods for sending the photovoltaic power generation project cost list to the user terminal include but are not limited to: electronic documents and online platforms or software.

[0062] Electronic Documentation: The compiled project cost list is sent to the user via email in Excel or PDF format. Excel facilitates data editing, calculation, and analysis; PDF ensures format stability, prevents accidental modification, and ensures the integrity and accuracy of the list. A brief summary of the list's main contents and key considerations should be included in the body of the email.

[0063] Online platforms or software: Some professional photovoltaic engineering service platforms allow users to register and log in to view the generated project cost list in their personal center or project management section. Some platforms also offer online editing and comparative analysis features, allowing users to adjust the list based on their specific circumstances. Furthermore, some mobile applications for the photovoltaic industry support push notifications to users, allowing them to access the list anytime, anywhere.

[0064] Beneficial effects of the present invention: (1) Cost minimization: By constructing and optimizing the objective function, the optimal unit price of multiple engineering quantities can be found under the premise of meeting the constraints, thereby minimizing the cost of photovoltaic power generation projects.

[0065] (2) Decision support: The detailed cost list generated based on actual data and optimization algorithms provides decision makers with accurate and transparent cost information, effectively supporting the risk assessment, control and decision-making of project costs.

[0066] Example 2 Based on the same inventive concept, Figure 2 As shown, the embodiment of the present invention further provides a photovoltaic power generation project cost optimization device 200, comprising: The model building module 210 is used to build a photovoltaic power generation project cost objective function based on the unit prices of multiple project quantities of the photovoltaic power generation project and to minimize the photovoltaic power generation project cost, and to determine the constraints of the photovoltaic power generation project cost objective function; The optimization and solution module 220 is used to optimize and solve the photovoltaic power generation project cost objective function to determine the optimal unit price of multiple project quantities of the photovoltaic power generation project that meets the constraint conditions; The list generation module 230 is used to generate a photovoltaic power generation project cost list based on multiple project quantities and the optimal unit prices of the multiple project quantities, and send the photovoltaic power generation project cost list to the user terminal so that the user can develop and construct the photovoltaic power generation project according to the photovoltaic power generation project cost list.

[0067] It should be understood that this device corresponds to the aforementioned photovoltaic power generation project cost optimization method embodiment and is capable of executing each of the steps involved in the aforementioned method embodiment. The specific functions of this device can be found in the description above; to avoid repetition, a detailed description is omitted here. The device includes at least one software functional module that can be stored in a memory in the form of software or firmware or embedded in the device's operating system (OS).

[0068] Example 3 Based on the same inventive concept, an embodiment of the present invention also provides an electronic device, including: a processor and a memory, the memory storing machine-readable instructions executable by the processor, and the machine-readable instructions executing the above-mentioned photovoltaic power generation project cost optimization method when executed by the processor.

[0069] In a typical configuration, an electronic device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0070] The memory may include non-permanent memory in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0071] Computer-readable media includes permanent and non-permanent, removable and non-removable media that can be implemented by any method or technology to store information. The information can be computer-readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer-readable media does not include transitory computer-readable media (transitory media), such as modulated data signals and carrier waves.

[0072] Example 4 Based on the same inventive concept, an embodiment of the present invention further provides a computer-readable storage medium storing computer instructions. When the computer instructions are executed on a computer, the computer executes the above-mentioned photovoltaic power generation project cost optimization method.

[0073] Those skilled in the art will appreciate that the embodiments of the present application can be provided as methods, systems, or computer program products. Therefore, the present application can adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application can adopt 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.) that contain computer-usable program code.

[0074] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes 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 steps in the process. 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.

[0075] 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.

[0076] 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.

[0077] It should also be noted that the various specific technical features described in the above specific embodiments can be combined in any appropriate manner without contradiction. To avoid unnecessary repetition, the embodiments of the present invention will not further describe various possible combinations.

[0078] In addition, the functional modules in each embodiment of the present application can be integrated together to form an independent part, or each module can exist independently, or two or more modules can be integrated to form an independent part.

[0079] It should also be noted that the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, commodity, or apparatus that includes a series of elements includes not only those elements but also other elements not explicitly listed, or includes elements inherent to such process, method, commodity, or apparatus. In the absence of further limitations, an element defined by the phrase "comprises a ..." does not exclude the presence of other identical elements in the process, method, commodity, or apparatus that includes the element.

[0080] The above are merely embodiments of the present application and are not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present application should all be included within the scope of the claims of the present application.

Claims

1. A photovoltaic power generation project cost optimization method, characterized in that: include: Based on the unit prices of multiple engineering quantities of photovoltaic power generation projects, with the goal of minimizing the cost of photovoltaic power generation projects, a photovoltaic power generation project cost objective function is constructed, and the constraints of the photovoltaic power generation project cost objective function are determined; Solve the cost objective function of photovoltaic power generation projects and determine the optimal unit price of multiple engineering quantities of photovoltaic power generation projects that meet the constraints; Based on multiple engineering quantities of the photovoltaic power generation project and the optimal unit prices of the multiple engineering quantities, a photovoltaic power generation project cost list is generated, and the photovoltaic power generation project cost list is sent to the user terminal, so that the user can develop and construct the photovoltaic power generation project according to the photovoltaic power generation project cost list.

2. The photovoltaic power generation project cost optimization method according to claim 1, characterized in that: Multiple engineering quantities include: the number of 650Wp 210 monocrystalline silicon, the number of 650Wp 182 monocrystalline silicon, the number of 540Wp 210 monocrystalline silicon, the number of 540Wp182 monocrystalline silicon, the weight of fixed brackets, the weight of fixed adjustable brackets, the weight of flat single-axis tracking brackets, the length of 3-meter prestressed concrete piles, the length of 5-meter prestressed concrete piles, the length of 2-meter cast-in-place piles, the length of 5-meter cast-in-place piles, the number of 225kW string inverters, the number of 320kW string inverters, the number of box-type inverter integrated equipment, the length of underground lines, the length of overhead lines, the number of 330kV booster stations, the number of 220kV booster stations, the length of access roads, the length of site roads, the area of ​​land acquisition, the area of ​​long-term land lease and the area of ​​temporary land lease.

3. The photovoltaic power generation project cost optimization method according to claim 2, characterized in that: The objective function of photovoltaic power generation project cost is: ;in, represents the minimum photovoltaic power generation project cost, represents the construction cost of photovoltaic power generation area, represents the construction cost of the booster station, represents the transportation engineering cost, represents the cost of auxiliary facilities for photovoltaic power generation projects, represents the construction land cost, Represents the preliminary design and survey costs of photovoltaic power generation projects.

4. The photovoltaic power generation project cost optimization method according to claim 3, characterized in that: The construction cost of photovoltaic power generation area is calculated by the following method: ;in, represents the construction cost of photovoltaic power generation area, represents the construction cost of photovoltaic modules, Represents the construction cost of photovoltaic module support, Indicates the cost of photovoltaic support infrastructure construction, represents the construction cost of convergence and power transformation and distribution equipment, represents the construction cost of the collector line, Represents the construction cost of the photovoltaic field.

5. The photovoltaic power generation project cost optimization method according to claim 4, characterized in that: The construction cost of photovoltaic modules is calculated as follows: ;in, represents the construction cost of photovoltaic modules, Indicates the quantity of 650Wp 210 type monocrystalline silicon, Indicates the unit price of 650Wp 210 type monocrystalline silicon, Indicates the quantity of 650Wp 182 type monocrystalline silicon, Indicates the unit price of 650Wp 182 type monocrystalline silicon, Indicates the quantity of 540Wp 210 type monocrystalline silicon, Indicates the unit price of 540Wp 210 type monocrystalline silicon, Indicates the quantity of 540Wp 182 type monocrystalline silicon, Indicates the unit price of 540Wp 182-type monocrystalline silicon; The construction cost of photovoltaic module support is calculated as follows: ;in, Represents the construction cost of photovoltaic module support, Indicates the weight of the fixed bracket, Indicates the unit price of the fixed bracket, Indicates the weight of the fixed adjustable bracket, Indicates the unit price of a fixed adjustable bracket, Indicates the weight of the flat single-axis tracking bracket. Indicates the unit price of a flat single-axis tracking bracket; The cost of photovoltaic support infrastructure construction is calculated in the following way: ; Among them, the cost of photovoltaic support infrastructure construction is Indicates the length of a 3-meter prestressed concrete pile, Indicates the unit price of 3-meter prestressed concrete piles, Indicates the length of a 5-meter prestressed concrete pile, Indicates the unit price of 5-meter prestressed concrete piles, Indicates the length of a 2-meter cast-in-place pile. Indicates the unit price of 2-meter cast-in-place piles. Indicates the length of a 5-meter cast-in-place pile. Indicates the unit price of 5-meter cast-in-place piles; The construction cost of the convergence and power transformation and distribution equipment is calculated in the following way: ;in, represents the construction cost of convergence and power transformation and distribution equipment, Indicates the number of 225kW string inverters, Indicates the unit price of a 225kW string inverter. Indicates the number of 320kW string inverters, Indicates the unit price of a 320kW string inverter. Indicates the number of box-inverter integrated devices. Indicates the unit price of the box-inverter integrated equipment; The construction cost of the collector line is calculated as follows: ;in, represents the construction cost of the collector line, Indicates the length of the underground line. Indicates the unit price of underground lines. represents the length of the overhead line, Indicates the unit price of overhead lines.

6. The photovoltaic power generation project cost optimization method according to claim 3, characterized in that: The construction cost of the booster station is calculated as follows: ;in, represents the construction cost of the booster station, Indicates the number of 330kV booster stations, Indicates the unit price of 330kV booster station, Indicates the number of 220kV booster stations, Indicates the unit price of 220kV booster station.

7. The photovoltaic power generation project cost optimization method according to claim 3, characterized in that: The transportation project cost is calculated as follows: ;in, represents the transportation engineering cost, Indicates the length of the access road. Indicates the unit price of the access road, Indicates the length of the road in the field. Indicates the unit price of the site roads.

8. The photovoltaic power generation project cost optimization method according to claim 3, characterized in that: The construction land cost is calculated as follows: ;in, represents the construction land cost, Indicates the area of ​​land acquisition, Indicates the unit price of land acquisition, Indicates the area of ​​long-term leased land, Indicates the unit price of long-term land lease. Indicates the area of ​​temporary leased land, Indicates the unit price for temporary land rental.

9. The photovoltaic power generation project cost optimization method according to claim 5, characterized in that: Constraints of the photovoltaic power generation project cost objective function: ;in, Indicates the power of 650Wp 210 type monocrystalline silicon, Indicates the quantity of 650Wp 210 type monocrystalline silicon, Indicates the power of 650Wp 182 type monocrystalline silicon, Indicates the quantity of 650Wp 182 type monocrystalline silicon, Indicates the power of 540Wp 210 type monocrystalline silicon, Indicates the quantity of 540Wp 210 type monocrystalline silicon, Indicates the power of 540Wp 182-type monocrystalline silicon, Indicates the quantity of 540Wp 182 type monocrystalline silicon, Indicates the capacity of a 225kW string inverter. Indicates the number of 225kW string inverters, Indicates the capacity of a 320kW string inverter. Indicates the number of 320kW string inverters.

10. A photovoltaic power generation project cost optimization device, characterized in that: include: A model building module is used to build a photovoltaic power generation project cost objective function based on the unit prices of multiple engineering quantities of the photovoltaic power generation project, with the goal of minimizing the cost of the photovoltaic power generation project, and to determine the constraints of the photovoltaic power generation project cost objective function; The optimization solution module is used to optimize and solve the cost objective function of the photovoltaic power generation project and determine the optimal unit price of multiple engineering quantities of the photovoltaic power generation project that meets the constraint conditions; The list generation module is used to generate a photovoltaic power generation project cost list based on multiple engineering quantities and the optimal unit prices of the multiple engineering quantities, and send the photovoltaic power generation project cost list to the user terminal so that the user can develop and construct the photovoltaic power generation project according to the photovoltaic power generation project cost list.

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