A mushroom shed intelligent design method, system and equipment considering frequency stability of rural distribution network

Abstract

The application discloses a mushroom shed intelligent design method, system and equipment considering the frequency stability of a rural power distribution network, and relates to the field of mushroom shed design.The method comprises the following steps: based on the structural differences of mushroom sheds and the photoelectric conversion characteristics of photovoltaic thin films, a multi-dimensional optimization model is constructed by taking the maximum annual power generation and the maximum enoki mushroom yield as the target and the structural parameters of known mushroom shed structures as the constraint condition; in combination with a support model, the structure type and the angle between the mushroom shed side and the ground in the multi-dimensional optimization model are globally searched and locally optimized according to the optimization algorithm of the cooperation of a genetic algorithm and a particle swarm algorithm, and a multi-objective optimization model is constructed; and the required mushroom shed structural parameters are input into the multi-objective optimization model, and the optimal mushroom shed structure, angle, operation mode and economic index are output.The application can improve resource utilization and scene adaptability, and realize the deep integration of agricultural production, energy utilization and power grid frequency modulation.

Description

Technical Field

[0001] This application relates to the field of mushroom shed design, and in particular to a smart design method, system and equipment for mushroom sheds that takes into account the frequency stability of rural power distribution networks, using a "photovoltaic membrane-energy storage" system. Background Technology

[0002] Traditional mushroom sheds face serious challenges. While crystalline silicon photovoltaic panels offer high photoelectric conversion efficiency, their bulky nature and complex installation limit their efficient use of the shed's spatial advantages. In contrast, photovoltaic thin-film coating technology can be customized for the diverse architectural forms of mushroom sheds, enabling a new production method of "mushroom cultivation inside the shed and photovoltaic power generation on the shed surface," forming a new paradigm of facility agriculture that combines economic and environmental benefits. The photovoltaic thin-film mushroom shed model not only achieves the dual benefits of agricultural production and photovoltaic power generation but also simultaneously reduces land costs for photovoltaic power station construction and meets the specific environmental requirements for most mushroom growth.

[0003] Meanwhile, with the increasing prevalence of distributed power sources, the weak rural power distribution networks have experienced unstable power supply, leading to problems such as frequency fluctuations and voltage flicker. Therefore, the first application of photovoltaic thin-film technology in agricultural production scenarios such as mushroom sheds to construct an integrated "agriculture-photovoltaic-storage-frequency regulation" system is a novel solution that deeply integrates agricultural production and energy utilization to address localized grid frequency fluctuations. However, considering the practical constraints in rural areas such as insufficient awareness among laborers, limited access to information, and high costs of agricultural technical consulting services, developing a smart mushroom shed design system with optimized comprehensive benefits is a universally beneficial practical path for achieving agricultural energy structure transformation in distributed application scenarios.

[0004] Agricultural photovoltaic integration, as an important model for the deep integration of renewable energy and modern agriculture, has shown significant advantages in improving land utilization and promoting low-carbon agricultural development. Existing research and practice have made progress in areas such as structural optimization, energy storage configuration, and frequency regulation technology for agricultural photovoltaics, but problems such as low resource utilization and insufficient adaptability to various scenarios still exist.

[0005] Existing technologies propose optimized control strategies for energy storage and grid connection of rooftop photovoltaic power generation systems, but the use of traditional photovoltaic panels limits power generation efficiency. Some technical solutions analyze the reliability of photovoltaic thin films but do not apply them to agricultural scenarios. Other technical solutions verify the economic benefits of photovoltaic agricultural mushroom sheds through case studies, but the lack of energy storage systems limits energy utilization efficiency. Still other technical solutions optimize energy storage configuration based on the load characteristics of agricultural facilities, but do not involve frequency regulation technology, making it difficult to cope with grid frequency fluctuations.

[0006] It is evident that existing technologies suffer from low resource utilization and insufficient adaptability to various scenarios. Summary of the Invention

[0007] The purpose of this application is to provide a smart design method, system and equipment for mushroom sheds with "photovoltaic film-energy storage" that takes into account the frequency stability of rural power distribution networks, so as to solve the problems of low resource utilization and poor scenario adaptability.

[0008] To achieve the above objectives, this application provides the following solution: Firstly, this application provides a smart design method for mushroom sheds using a "photovoltaic film-energy storage" system that takes into account the frequency stability of rural power distribution networks, including: Based on the structural differences of mushroom sheds and the photoelectric conversion characteristics of photovoltaic thin films, a multi-dimensional optimization model is constructed with the goal of maximizing annual power generation and enoki mushroom production, using the known structural parameters of the mushroom sheds as constraints. The mushroom sheds are smart mushroom sheds based on integrated frequency regulation of "photovoltaic film-energy storage". The structural types of the mushroom sheds include flat-roof mushroom sheds, arc-shaped mushroom sheds, and triangular mushroom sheds. The structural parameters include length, width, height, the angle between the side of the mushroom shed and the ground, the total area of ​​photovoltaic film laid in the mushroom shed, and the volume of the mushroom shed. Combining the supporting model, and based on the optimization algorithm of genetic algorithm and particle swarm optimization algorithm, a global search and local optimization are performed on the structural types and the angle between the side of the mushroom shed and the ground in the multi-dimensional optimization model to construct a multi-objective optimization model; the supporting model includes full life cycle cost accounting, agricultural production income, electricity grid connection income, system optimization profit and energy storage frequency regulation subsidy income, which are used to characterize the operation model and economic indicators; Input the required mushroom shed structural parameters into the multi-objective optimization model, and output the optimal mushroom shed structure, angle, operation mode, and economic indicators; the required mushroom shed structural parameters include length, width, and height.

[0009] Secondly, this application provides a smart design system for mushroom sheds that incorporates "photovoltaic film-energy storage" and takes into account the frequency stability of rural power distribution networks, including: A multi-dimensional optimization model construction module is used to construct a multi-dimensional optimization model based on the differences in mushroom shed structure and the photoelectric conversion characteristics of photovoltaic thin film, with the goal of maximizing annual power generation and enoki mushroom production, and with the known structural parameters of the mushroom shed structure as constraints. The mushroom shed is a smart mushroom shed based on integrated frequency regulation of "photovoltaic film-energy storage". The structural types of the mushroom shed include flat-roof mushroom shed structure, arc-shaped mushroom shed structure and triangular mushroom shed structure. The structural parameters include length, width, height, angle between the side of the mushroom shed and the ground, total area of ​​photovoltaic film laid in the mushroom shed, and volume of the mushroom shed.

[0010] The multi-objective optimization model construction module is used to combine the supporting model and, based on the optimization algorithm of genetic algorithm and particle swarm algorithm, to perform global search and local optimization on the structural type and the angle between the side of the mushroom shed and the ground in the multi-dimensional optimization model, and to construct the multi-objective optimization model. The supporting model includes full life cycle cost accounting, agricultural production income, electricity grid connection income, system optimization profit and energy storage frequency regulation subsidy income, which are used to characterize the operation model and economic indicators.

[0011] The optimal mushroom shed structure output module is used to input the required mushroom shed structure parameters into the multi-objective optimization model and output the optimal mushroom shed structure, angle, operation mode, and economic indicators; the required mushroom shed structure parameters include length, width, and height.

[0012] Thirdly, this application provides a computer device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the "photovoltaic film-energy storage" smart design method for mushroom sheds that takes into account the frequency stability of rural power distribution networks as described above.

[0013] According to the specific embodiments provided in this application, the following technical effects are disclosed: This application addresses the issue through the following steps: First, a flexible photovoltaic film mushroom shed structure is designed, employing CdTe flexible photovoltaic film to cover three types of mushroom shed structures: triangular, arc-shaped, and flat-topped. Then, a multi-dimensional optimization model is constructed, aiming to maximize annual power generation and enoki mushroom yield, incorporating constraints such as structural parameters and costs. Next, a combined optimization algorithm of genetic algorithm and particle swarm optimization is used to perform global search and local optimization of structural types and angles, constructing a multi-objective optimization model. Finally, after inputting the required mushroom shed structural parameters into the multi-objective optimization model, the optimal mushroom shed structure, angle, operation mode, and economic indicators are automatically output to improve resource utilization and scenario adaptability, achieving deep integration of agricultural production, energy utilization, and power grid frequency regulation. Attached Figure Description

[0014] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0015] Figure 1 This is an application environment diagram of a "photoelectric film-energy storage" smart design method for mushroom sheds that takes into account the frequency stability of rural power distribution networks, according to one embodiment of this application. Figure 2A flowchart illustrating a smart design method for mushroom sheds using a "photoelectric film-energy storage" system, taking into account the frequency stability of rural power distribution networks, provided in an embodiment of this application; Figure 3 A perspective view of a flat-roofed mushroom shed structure provided in an embodiment of this application; Figure 4 This is a side view of a flat-roofed mushroom shed structure provided in an embodiment of this application; Figure 5 A perspective view of an arc-shaped mushroom shed structure provided in an embodiment of this application; Figure 6 This is a side view of an arc-shaped mushroom shed structure provided in an embodiment of this application; Figure 7 A perspective view of a triangular mushroom shed structure provided in an embodiment of this application; Figure 8 A side view of a triangular mushroom shed structure provided in an embodiment of this application; Figure 9 A technical roadmap for a "photofilm-energy storage" mushroom shed project provided in one embodiment of this application; Figure 10 This is a logic design diagram of an optimization algorithm for a light-film mushroom shed provided in an embodiment of this application; Figure 11 This is a structural design diagram of an integrated frequency modulation system based on "optical film-energy storage" provided in an embodiment of this application; Figure 12 This is a schematic diagram of the input parameter interface provided in an embodiment of this application; Figure 13 A schematic diagram of the optimal structure of a mushroom shed design system provided in an embodiment of this application is given; Figure 14 A breakdown diagram of costs and benefits provided for a mushroom shed design system according to an embodiment of this application; Figure 15 A schematic diagram of a mushroom shed design report provided by a mushroom shed design system according to an embodiment of this application. Detailed Implementation

[0016] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0017] To make the above-mentioned objectives, features and advantages of this application more apparent and understandable, the application will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0018] This application provides a smart design method for mushroom sheds using a "photovoltaic film-energy storage" system, taking into account the frequency stability of rural power distribution networks. This method is executed by computer equipment, such as... Figure 1 As shown, it can be executed by a computer device such as a terminal or server alone, or by both a terminal and a server. In the embodiments of this application, as... Figure 2 As shown, the method includes the following steps.

[0019] S1: Based on the differences in mushroom shed structure and the photoelectric conversion characteristics of photovoltaic thin film, a multi-dimensional optimization model is constructed with the goal of maximizing annual power generation and enoki mushroom production, and with the known structural parameters of the mushroom shed structure as constraints. The mushroom shed is a smart mushroom shed based on integrated frequency regulation of "photovoltaic film-energy storage". The structural types of the mushroom shed include flat-top mushroom shed structure, arc-shaped mushroom shed structure and triangular mushroom shed structure. The structural parameters include length, width, height, angle between the side of the mushroom shed and the ground, total area of ​​photovoltaic film laid in the mushroom shed, and volume of the mushroom shed.

[0020] S2: Combining the supporting model, and based on the optimization algorithm of genetic algorithm and particle swarm optimization algorithm, a global search and local optimization are performed on the structural types and the angle between the side of the mushroom shed and the ground in the multi-dimensional optimization model to construct a multi-objective optimization model; the supporting model includes full life cycle cost accounting, agricultural production income, electricity grid connection income, system optimization profit and energy storage frequency regulation subsidy income, which are used to characterize the operation model and economic indicators.

[0021] S3: Input the required mushroom shed structural parameters into the multi-objective optimization model, and output the optimal mushroom shed structure, angle, operation mode, and economic indicators; the required mushroom shed structural parameters include length, width, and height.

[0022] In practical applications, the objective function of the multi-dimensional optimization model includes photovoltaic power generation and enoki mushroom production.

[0023] (1) Photovoltaic power generation.

[0024] Based on the differences in mushroom shed structure and the photoelectric conversion characteristics of photovoltaic thin films, differentiated power generation calculation formulas are established: The annual power generation of circular arc structures and triangular structures can be expressed as: The annual power generation of a flat-roof structure can be expressed as: in, =1399kWh / ㎡ is the annual solar radiation on a horizontal surface; 0.0885× θ 2 × θ+1501.2 is the annual solar radiation (kWh / m²) of the shaded side with respect to the angle. 0.1593× θ 2 +10.658× θ +1422.3 is the annual solar radiation (kWh / m²) of the sunlit surface with respect to the angle. =0.18, which is the photovoltaic thin-film conversion efficiency.

[0025] (2) Enoki mushroom production.

[0026] The total yield of enoki mushrooms is: in, Y =11.2 kg / m 3 This refers to the yield per unit volume of enoki mushrooms.

[0027] In practical applications, the constraints of the multi-dimensional optimization model include structural parameter constraints for flat-top mushroom sheds, circular arc-shaped mushroom sheds, and triangular mushroom sheds.

[0028] (1) such as Figures 3-4 As shown, the structural parameters of the flat-roofed mushroom shed are constrained as follows: In the formula, w, h: The length, width, and height of the mushroom shed; Total area of ​​plastic film laid in flat-roofed mushroom sheds (㎡); Volume of flat-roofed mushroom shed (m³) 3 ); The angle between the side of the mushroom shed and the ground, i.e., the included angle.

[0029] (2) For example Figures 5-6 As shown, the structural parameters of the arc-shaped mushroom shed are constrained as follows: In the formula ， Total area of ​​plastic film laid in the arc-shaped mushroom shed (㎡); Volume of the arc-shaped mushroom shed (m³) 3 ).

[0030] (3) such as Figures 7-8 As shown, the structural parameters of the triangular mushroom shed are constrained as follows: In the formula, Total area of ​​plastic film laid in triangular mushroom shed (㎡). Volume of the triangular mushroom shed (m³) 3 ).

[0031] In practical applications, the supporting models include: (1) Life cycle cost accounting: The total annual cost of a light-film mushroom shed consists of fixed costs and variable costs, and its mathematical expression is as follows: In the formula, Total annual cost (RMB); =5.20 yuan / ㎡ / year is the annual amortized construction cost; =32.8 yuan / ㎡ / year is the annual depreciation cost of the initial investment in photovoltaic thin film; =15.9 yuan / m 3 Cost of enoki mushroom cultivation The area covered by the film (m²). =0.82 represents the space utilization rate; =6.5 yuan / m 3 Cost of humidity control system equipment; V is the cost function of the energy storage device with respect to the annual power generation E and the volume V of the mushroom shed; =0.35 is the energy storage configuration ratio; 2 This is a function representing the labor cost of enoki mushroom cultivation.

[0032] (2) Agricultural production income: Enoki mushroom sales revenue was: In the formula, Y =11.2 kg / m 3 This refers to the yield per unit volume of enoki mushrooms. =9.5 yuan / kg is the market price of enoki mushrooms (3) Revenue from electricity grid connection: The benefits of all internet access modes are: The benefits of the self-use + internet access model are: In the formula, Pg =0.58 yuan / kWh is the grid connection price for photovoltaic power generation, and rs=0.65 is the proportion of rural self-consumption. Ps= The price of 0.33 yuan / kWh is the price for surplus electricity used by the user and fed into the grid. (4) The system optimization profit is: The optimized profit without energy storage system is: The optimized profit with energy storage system is: In the formula, Annual profit (in yuan) assuming all batteries are connected to the grid and have energy storage. Annual profit (in yuan) under the condition of self-use + internet access and energy storage.

[0033] Based on different constraints, the profits under different power grid connection modes are calculated, and the mushroom shed structure with the highest profit is selected as the smart mushroom shed.

[0034] (5) Energy storage frequency regulation subsidy revenue: Calculate the additional benefits of energy storage participating in grid frequency regulation by combining power generation and policy subsidies: In the formula, =0.32 yuan / kWh is the unit price for frequency modulation subsidy.

[0035] For the "photovoltaic film-energy storage" mushroom shed project, this application first focuses on the structure of the mushroom shed. The main body of the photovoltaic film mushroom shed uses CdTe flexible photovoltaic film as the covering material, supporting three structures: triangular, arc-shaped, and flat-topped. A geometric model is constructed to accurately calculate the film area (S) and volume (V). The energy storage frequency regulation module of the photovoltaic film mushroom shed is equipped with a lithium battery pack, forming an integrated frequency regulation system. This system not only assists in rural power grid frequency regulation but also has dual operating modes of "full grid connection" and "self-use + grid connection," improving power flexibility. Next, a multi-dimensional optimization model is constructed, with the goal of maximizing annual power generation and enoki mushroom production. The parameters and performance indicators of the three structural types (arc-shaped, triangular, and flat-topped) are incorporated into the constraints. In the supporting model, power generation is calculated based on structural differences, and cost accounting includes construction costs, photovoltaic depreciation, and energy storage costs, achieving optimized system construction. The optimization algorithm adopts a collaborative strategy, using a genetic algorithm (GA) to optimize the three structural types and angles. θThe algorithm employs a global search for optimal solutions using selection, crossover, and mutation operations. Its fitness function integrates three factors: cost, power generation revenue, and frequency regulation subsidies. Particle Swarm Optimization (PSO) assists in local search, dynamically adjusting particle positions and velocities while decreasing inertia weights to obtain local optima. These two algorithms work in tandem: first, GA performs global exploration, then PSO performs local fine-tuning, iteratively outputting the optimal combination to efficiently optimize the structure and angles of the mushroom shed. Finally, a smart mushroom shed design system is developed. Based on Matlab software, it uses algorithms comparing power generation and enoki mushroom yield for flat-top, arc-shaped, and triangular mushroom sheds as core modules, encapsulating multi-dimensional optimization models and algorithms. After farmers input length, width, and height parameters, the system outputs the optimal structure, recommended grid connection mode, and multiple economic indicators, providing intelligent support for mushroom shed design and operation. The technical roadmap of this application is as follows: Figure 9 As shown.

[0036] In practical applications, an optimization algorithm for light-film mushroom sheds was designed: In the "light-film-energy storage" mushroom shed project, the combined application of genetic algorithm and particle swarm optimization algorithm provided a powerful optimization tool for the "light-film-energy storage" mushroom shed project, which can effectively solve complex multi-objective optimization problems and obtain the best mushroom shed structure and optimal angle from the three perspectives of cost, grid connection strategy and frequency modulation subsidy.

[0037] In this application, the genetic algorithm is mainly used to find the optimal combination of mushroom shed structure and angle, encoding the three structural types of the mushroom shed and the angle θ between its side and the ground. A fitness function is constructed by comprehensively considering factors such as cost, power generation revenue, and frequency regulation subsidies. The particle swarm optimization algorithm is used to assist the genetic algorithm in local search, improving search efficiency. By continuously updating the position and velocity of particles, the particle swarm optimization algorithm can quickly converge to a local optimum. Combined with the genetic algorithm, it improves the overall search performance. Users can select the most suitable combination of mushroom shed structure and angle according to their actual needs. The logical design diagram of the light-film mushroom shed optimization algorithm is shown below. Figure 10 As shown.

[0038] In one exemplary embodiment, photovoltaic thin film, as a novel photovoltaic module, although its photoelectric conversion efficiency is slightly lower than that of traditional crystalline silicon photovoltaic panels, has advantages such as good low-light response, low raw material consumption, and high adaptability to buildings, which can maximize its compatibility with mushroom sheds and increase the photovoltaic installation area. In addition, photovoltaic thin film can filter specific spectra to reduce light transmittance, meeting the low-light requirements of mushroom cultivars. Secondly, compared with traditional PE / PVC films, which need to be replaced every 3-5 years, photovoltaic thin film is more durable and has a lifespan of over 20 years, reducing maintenance costs. Taking all factors into consideration, the application of photovoltaic thin film in mushroom sheds not only solves the energy problem but also optimizes production conditions through intelligent and environmentally friendly design, combining economic benefits and ecological value. Therefore, this application proposes an innovative solution using CdTe flexible photovoltaic thin film to replace traditional plastic films and photovoltaic panels.

[0039] Meanwhile, to address frequency fluctuations in rural weak power distribution networks, this application utilizes an integrated "photovoltaic film-energy storage" frequency regulation system. This system enables mushroom sheds to maintain their own energy independence while simultaneously assisting rural weak power distribution networks in quickly responding to grid frequency fluctuations, ensuring grid frequency stability, and guaranteeing real-time power supply and demand balance in the mushroom shed application areas. Figure 11 As shown.

[0040] This application provides a smart design system for mushroom sheds that incorporates "photovoltaic film-energy storage" and takes into account the frequency stability of rural power distribution networks, including: A multi-dimensional optimization model construction module is used to construct a multi-dimensional optimization model based on the differences in mushroom shed structure and the photoelectric conversion characteristics of photovoltaic thin film, with the goal of maximizing annual power generation and enoki mushroom production, and with the known structural parameters of the mushroom shed structure as constraints. The mushroom shed is a smart mushroom shed based on integrated frequency regulation of "photovoltaic film-energy storage". The structural types of the mushroom shed include flat-roof mushroom shed structure, arc-shaped mushroom shed structure and triangular mushroom shed structure. The structural parameters include length, width, height, angle between the side of the mushroom shed and the ground, total area of ​​photovoltaic film laid in the mushroom shed, and volume of the mushroom shed.

[0041] The multi-objective optimization model construction module is used to combine the supporting model and, based on the optimization algorithm of genetic algorithm and particle swarm algorithm, to perform global search and local optimization on the structural type and the angle between the side of the mushroom shed and the ground in the multi-dimensional optimization model, and to construct the multi-objective optimization model. The supporting model includes full life cycle cost accounting, agricultural production income, electricity grid connection income, system optimization profit and energy storage frequency regulation subsidy income, which are used to characterize the operation model and economic indicators.

[0042] The optimal mushroom shed structure output module is used to input the required mushroom shed structure parameters into the multi-objective optimization model and output the optimal mushroom shed structure, angle, operation mode, and economic indicators; the required mushroom shed structure parameters include length, width, and height.

[0043] Based on this, this application developed a smart mushroom shed design system based on the "photothermal film-energy storage" integrated frequency modulation system using MATLAB software. The profit comparison algorithm for flat-top, arc-shaped, and triangular mushroom sheds is used as the core module of the system, so that the input includes length (l), width (w), and height (h), and the output includes indicators such as optimal structure, optimal angle, recommended mode, and maximum profit.

[0044] The system also includes input parameter modules: constant module parameters for length l, constant module parameters for width w, and constant module parameters for height h, such as... Figure 12 As shown. After entering the length, width, and height parameters on the constant module parameter setting page, you can design the mushroom shed.

[0045] The system's mushroom shed design results include optimal structure display, optimal angle, optimal operation mode, economic benefit indicators, and risk warnings. When the system is input with dimensions of 20, 8, and 4.5 meters, the output results are as follows: Figures 13-15 As shown, this includes the optimal mushroom shed structure, cost and revenue composition, various economic benefit indicators, optimal angle, and optimal operating model.

[0046] The mushroom shed structure designed based on the "photovoltaic film-energy storage" smart design method for mushroom sheds that takes into account the frequency stability of rural power distribution networks provided in this application has the following advantages: (1) Deeply empowering the power grid to regulate peak and valley loads and cope with large-scale load fluctuations. For the first time, CdTe flexible photovoltaic film is used to replace traditional polyethylene plastic film, realizing the leap from a single "protection function" to a dual function of "power generation + protection" in agricultural mushroom sheds. Compared with the traditional crystalline silicon photovoltaic panel power generation and grid connection mode, this new structure can perfectly adapt to the structural characteristics of mushroom sheds and the requirements of semi-transparent environment. It also upgrades the energy storage of mushroom sheds from a passive backup power source to an active grid regulation node. Combining the grid frequency fluctuation characteristics and the real-time load demand of mushroom sheds, based on electricity price signals and frequency regulation subsidy policies, it maximizes the benefits of frequency regulation.

[0047] (2) A multi-dimensional objective function was constructed using the improved optimization algorithm. The genetic algorithm and particle swarm optimization algorithm were organically combined to form an optimization logic algorithm with the goal of efficiently solving the optimal combination of mushroom shed structure and angle. The structure of agricultural mushroom shed was deeply integrated with three major economic factors: cost control, power grid connection strategy, and frequency regulation subsidy policy. The system automatically matched the balance point of structural angle, material cost, power generation efficiency, and subsidy threshold under different length, width and height parameters to form a dynamic benefit of the optimal combination of "structure + angle" dual variables.

[0048] (3) A smart design system for mushroom sheds based on the joint frequency modulation of "photothermal film-energy storage" was developed. When using the system, users only need to input the basic parameters of length, width and height to obtain the optimal structure, best angle and various economic indicators within seconds. The system outputs a visual chart composed of the optimal structure and various cost benefits in the background, which solves the problems of insufficient cognitive level and difficulty in information access for rural laborers. It also democratizes the complex "economic-structural" optimization problem in agricultural facility transformation and greatly reduces the technical application threshold in agricultural scenarios.

[0049] In summary, the "photothermal film-energy storage" frequency-modulated mushroom shed intelligent design system developed in this application can automatically output the optimal structural scheme and corresponding angles by inputting the length, width, and height parameters of the mushroom shed. θ This system integrates a photovoltaic thin-film power generation efficiency model, an energy storage system revenue calculation module, and a dynamic database of policy subsidies, and conducts economic evaluations in conjunction with frequency regulation subsidy policies. Field tests have verified that the system's recommended solution can increase overall revenue by 35%–42% compared to traditional mushroom sheds, providing a replicable technical path for the green upgrading of agricultural facilities.

[0050] In an exemplary embodiment, a computer device is provided, which may be a server or a terminal. The computer device includes a processor, memory, input / output interfaces (I / O), and a communication interface. The processor, memory, and I / O interfaces are connected via a system bus, and the communication interface is connected to the system bus via the I / O interfaces. The processor of the computer device provides computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage medium. The database of the computer device stores smart design data for mushroom sheds using a "photovoltaic membrane-energy storage" system, taking into account the frequency stability of rural power distribution networks. The I / O interfaces of the computer device are used for exchanging information between the processor and external devices. The communication interface of the computer device is used for communication with external terminals via a network connection. When the computer program is executed by the processor, it implements a smart design method for mushroom sheds using a "photovoltaic membrane-energy storage" system, taking into account the frequency stability of rural power distribution networks.

[0051] In one exemplary embodiment, a computer device is provided, including a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the method described above.

[0052] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0053] This document uses specific examples to illustrate the principles and implementation methods of this application. The descriptions of the above embodiments are only for the purpose of helping to understand the methods and core ideas of this application. Furthermore, those skilled in the art will recognize that, based on the ideas of this application, there will be changes in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A smart design method for mushroom sheds using a "photovoltaic film-energy storage" system, taking into account the frequency stability of rural power distribution networks, characterized in that... include: Based on the structural differences of mushroom sheds and the photoelectric conversion characteristics of photovoltaic thin films, a multi-dimensional optimization model is constructed with the goal of maximizing annual power generation and enoki mushroom production, using the known structural parameters of the mushroom sheds as constraints. The mushroom sheds are smart mushroom sheds based on integrated frequency regulation of "photovoltaic film-energy storage". The structural types of the mushroom sheds include flat-roof mushroom sheds, arc-shaped mushroom sheds, and triangular mushroom sheds. The structural parameters include length, width, height, the angle between the side of the mushroom shed and the ground, the total area of ​​photovoltaic film laid in the mushroom shed, and the volume of the mushroom shed. Combining the supporting model, and based on the optimization algorithm of genetic algorithm and particle swarm optimization algorithm, a global search and local optimization are performed on the structural types and the angle between the side of the mushroom shed and the ground in the multi-dimensional optimization model to construct a multi-objective optimization model; the supporting model includes full life cycle cost accounting, agricultural production income, electricity grid connection income, system optimization profit and energy storage frequency regulation subsidy income, which are used to characterize the operation model and economic indicators; Input the required mushroom shed structural parameters into the multi-objective optimization model, and output the optimal mushroom shed structure, angle, operation mode, and economic indicators; the required mushroom shed structural parameters include length, width, and height.

2. The "photovoltaic film-energy storage" smart design method for mushroom sheds that takes into account the frequency stability of rural power distribution networks as described in claim 1, is characterized in that, The annual power generation of the flat-roofed mushroom shed structure is: Annual power generation of the arc-shaped mushroom shed structure and the triangular mushroom shed structure for: in, The annual power generation of the mushroom shed structure; Let be the annual solar radiation function of the shaded side of the mushroom shed with respect to the angle; This represents the annual solar radiation on a horizontal surface. Let be the annual solar radiation function of the sun-facing surface of the mushroom shed structure with respect to the angle; The surface area of ​​the flat top of the mushroom shed structure; The conversion efficiency of photovoltaic thin films.

3. The "photovoltaic film-energy storage" smart design method for mushroom sheds that takes into account the frequency stability of rural power distribution networks as described in claim 1, is characterized in that... The structural parameters of the flat-roofed mushroom shed structure are as follows: in, The total area of ​​photovoltaic film laid in flat-roofed mushroom sheds; , w , h The length, width, and height of the mushroom shed; The angle between the side of the mushroom shed and the ground; The volume of the flat-roofed mushroom shed; The structural parameters of the arc-shaped mushroom shed structure are as follows: in, Total area of ​​photovoltaic film to be laid in arc-shaped mushroom shed; The volume of the mushroom shed is an arc shape; The structural parameters of the triangular mushroom shed structure are as follows: in, Total area of ​​photovoltaic film to be laid for triangular mushroom sheds; Let V be the volume of the triangular mushroom shed.

4. The "photovoltaic film-energy storage" smart design method for mushroom sheds that takes into account the frequency stability of rural power distribution networks as described in claim 1, is characterized in that... The full life cycle cost accounting for: in, The construction cost is amortized over the years; The annual depreciation cost of the initial investment in photovoltaic thin films; Cost of enoki mushroom cultivation The area to be covered by photovoltaic thin film; For space utilization; Cost of humidity control system equipment; For energy storage devices regarding annual power generation E and the volume of the mushroom shed V The cost function; The energy storage configuration ratio; This is a function representing the labor cost of enoki mushroom cultivation.

5. The "photovoltaic film-energy storage" smart design method for mushroom sheds that takes into account the frequency stability of rural power distribution networks as described in claim 1, is characterized in that... The agricultural production income for: in, This refers to the yield per unit volume of enoki mushrooms. The market price of enoki mushrooms; V The volume of the mushroom shed; For space utilization.

6. The "photovoltaic film-energy storage" smart design method for mushroom sheds that takes into account the frequency stability of rural power distribution networks as described in claim 1, is characterized in that, The revenue from electricity grid connection includes revenue from all grid connection modes. And the revenue from the self-use + internet access model ; The benefits of all internet access modes are as follows: in, The annual power generation of the mushroom shed structure; For photovoltaic power generation feed-in tariff; The benefits of the self-use + internet access model are: in, The proportion for rural self-use; The price is for surplus electricity used by the user and fed into the grid.

7. The "photovoltaic film-energy storage" smart design method for mushroom sheds that takes into account the frequency stability of rural power distribution networks as described in claim 6, is characterized in that, The system optimization profit includes the optimization profit without energy storage system and the optimization profit with energy storage system; Under different power grid connection modes, the optimized profit of the system without energy storage is: The power grid connection modes include a full power grid connection mode and a self-use + power grid connection mode. Optimizing profits without energy storage systems under full internet connectivity mode; Benefits for all internet access modes; For agricultural production income; The construction cost is amortized over the years; The annual depreciation cost of the initial investment in photovoltaic thin films; Cost of enoki mushroom cultivation The area to be covered by photovoltaic thin film; For space utilization; Cost of humidity control system equipment; The volume of the mushroom shed; The labor cost function for enoki mushroom cultivation; For the self-use + internet access model, the optimized profit is without an energy storage system; Revenue is generated through a combination of personal use and internet access. The optimized profit of the energy storage system under different power grid connection modes is as follows: in, Optimize profits for all internet-connected modes with energy storage systems; For the revenue from energy storage frequency regulation subsidies; For agricultural production income; For full life cycle cost accounting.

8. The "photovoltaic film-energy storage" smart design method for mushroom sheds that takes into account the frequency stability of rural power distribution networks as described in claim 7, is characterized in that... The revenue from the energy storage frequency regulation subsidy is: in, The energy storage configuration ratio; This refers to the unit price for frequency modulation subsidies.

9. A smart design system for mushroom sheds using a "photovoltaic film-energy storage" approach that takes into account the frequency stability of rural power distribution networks, characterized in that... include: A multi-dimensional optimization model construction module is used to construct a multi-dimensional optimization model based on the differences in mushroom shed structure and the photoelectric conversion characteristics of photovoltaic thin film, with the goal of maximizing annual power generation and enoki mushroom yield, and using the known structural parameters of the mushroom shed structure as constraints. The mushroom shed is a smart mushroom shed based on integrated frequency regulation of "photovoltaic film-energy storage". The structural types of the mushroom shed include flat-roof mushroom shed structure, arc-shaped mushroom shed structure, and triangular mushroom shed structure. The structural parameters include length, width, height, angle between the side of the mushroom shed and the ground, total area of ​​photovoltaic film laid in the mushroom shed, and volume of the mushroom shed. The multi-objective optimization model construction module is used to combine the supporting model and, based on the optimization algorithm of genetic algorithm and particle swarm algorithm, to perform global search and local optimization on the structural type and the angle between the side of the mushroom shed and the ground in the multi-dimensional optimization model, and to construct the multi-objective optimization model; the supporting model includes full life cycle cost accounting, agricultural production income, electricity grid connection income, system optimization profit and energy storage frequency regulation subsidy income, which are used to characterize the operation model and economic indicators; The optimal mushroom shed structure output module is used to input the required mushroom shed structure parameters into the multi-objective optimization model and output the optimal mushroom shed structure, angle, operation mode, and economic indicators; the required mushroom shed structure parameters include length, width, and height.

10. A computer device, comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that the processor executes the computer program to implement the "photovoltaic film-energy storage" smart design method for mushroom sheds that takes into account the frequency stability of rural power distribution networks, as described in any one of claims 1-8.

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