Planning and operation methods and computing equipment to promote efficient photovoltaic consumption in remote areas

By building photovoltaic and diesel generator models, the access and operation of photovoltaic systems in remote areas are optimized, which solves the problem of difficulty in absorbing photovoltaic power generation in remote areas and achieves optimal power supply and cost minimization.

CN114462841BActive Publication Date: 2025-09-23STATE GRID SHANXI ELECTRIC POWER CO ECONOMIC & TECH RES INST
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Patent Information

Application Number
CN202210088320.1
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-01-25
Publication Date
2025-09-23
Estimated Expiration
2042-01-25

AI Technical Summary

Technical Problem

In existing technologies, remote areas have abundant photovoltaic power generation resources but imperfect grid structures, which makes it difficult to achieve efficient photovoltaic absorption and optimize power supply.

Method used

Construct photovoltaic models and diesel generator models in remote areas, generate a set of constraint conditions, combine photovoltaic and diesel generator models, optimize the total investment and operation cost, and plan the access capacity and operation mode of the photovoltaic system with the goal of minimizing the total cost.

Benefits of technology

By optimizing the combination of photovoltaics and diesel generators, efficient photovoltaic consumption in remote areas is achieved, the problem of optimal power supply is solved, and the total cost is reduced.

✦ Generated by Eureka AI based on patent content.

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Abstract

The present invention discloses a planning and operation method, computing device and storage medium for promoting efficient photovoltaic consumption in remote areas. The method comprises: respectively constructing a photovoltaic model and a diesel generator model for the remote area; generating a set of constraint conditions, the constraint condition set including a power balance constraint, a photovoltaic constraint and a diesel generator constraint; obtaining the total investment and operation cost of the energy system project in the remote area during the planning period based on the photovoltaic model and the diesel generator model; and planning efficient photovoltaic consumption in the remote area with the goal of minimizing the total investment and operation cost in combination with the constraint condition set.
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Description

Technical Field

[0001] The present invention relates to the field of energy and electricity, and in particular to a planning and operation method, computing equipment and storage medium for promoting efficient photovoltaic consumption in remote areas. Background Art

[0002] As the climate continues to deteriorate, clean energy is gaining increasing attention. Non-fossil energy generation, particularly wind power and photovoltaics, offers enormous potential for development. As a relatively mature technology, photovoltaic power generation, while serving as a primary energy supply, can also be combined with other technologies, such as energy storage and hydrogen energy, to significantly reduce energy costs across society.

[0003] However, current planning and operational plans for efficient photovoltaic power consumption primarily target industrial parks or cities, with relatively little attention paid to remote areas. In reality, remote areas, with their vast expanses and complex and diverse terrain, are crucial for developing clean, low-carbon energy.

[0004] Although remote areas have abundant light resources and relatively dispersed loads, the grid structure is not perfect. Therefore, it is necessary to combine the existing power equipment structure in remote areas with photovoltaic power generation to plan the efficient absorption of photovoltaic power in remote areas in order to solve the problem of optimal power supply.

[0005] Therefore, a new planning and operation method to promote efficient photovoltaic consumption in remote areas is needed for optimization. Summary of the Invention

[0006] To this end, the present invention provides a planning and operation scheme for promoting efficient photovoltaic consumption in remote areas, in an effort to solve or at least alleviate the above problems.

[0007] According to one aspect of the present invention, a planning and operation method for promoting efficient photovoltaic consumption in remote areas is provided, the method comprising the following steps: first, constructing a photovoltaic model and a diesel generator model for the remote area respectively; generating a set of constraints, the constraint set including a power balance constraint, a photovoltaic constraint and a diesel generator constraint; obtaining the total investment and operation cost of the energy system project in the remote area during the planning period based on the photovoltaic model and the diesel generator model; and planning the efficient photovoltaic consumption in the remote area with the goal of minimizing the total investment and operation cost in combination with the constraint set.

[0008] Optionally, in the planning and operation method for promoting efficient photovoltaic consumption in remote areas according to the present invention, the photovoltaic model is determined by the following formula:

[0009]

[0010] Among them, P ave,PV (t) is the average output power of the photovoltaic system at time t, ηPV is the photovoltaic system efficiency, P max,PV is the maximum output power of the photovoltaic system, G glo (t) is the total solar radiation received by the photovoltaic system on the inclined surface at time t, G STA is the total solar radiation received by the photovoltaic system under standard experimental conditions, α is the temperature coefficient, T PV (t) is the working temperature at time t, T STA is the ambient temperature under standard experimental environment.

[0011] Optionally, in the planning and operation method for promoting efficient photovoltaic consumption in remote areas according to the present invention, the diesel generator model is determined by the following formula:

[0012]

[0013] Among them, F DG,tot (t) is the total fuel consumed by all diesel generators in the system at time t, n is the number of diesel generators, is the start / stop state of diesel generator i at time t, k1 and k2 are fuel consumption coefficients, P i DG,rate is the rated power of diesel generator i, P i DG (t) is the output power of diesel generator i at time instant.

[0014] Optionally, in the planning and operation method for promoting efficient photovoltaic consumption in remote areas according to the present invention, the power balance constraint is determined by the following formula:

[0015]

[0016] in, The start and stop status of diesel generator i at time t, Indicates that the diesel generator i is in the starting state at time t, Indicates that the diesel generator i is in shutdown state at time t, P i DG (t) is the output power of diesel generator i at time t, P PV (t) is the output power of the photovoltaic system at time t, P load (t) is the load at time t.

[0017] Optionally, in the planning and operation method for promoting efficient photovoltaic consumption in remote areas according to the present invention, photovoltaic constraints include photovoltaic power generation constraints and photovoltaic installation capacity constraints, and diesel generator constraints include diesel generator status constraints and diesel generator power constraints.

[0018] Optionally, in the planning and operation method for promoting efficient photovoltaic consumption in remote areas according to the present invention, the total investment and operation cost is determined by the following formula:

[0019] f=C inv +C rep +C con +C mai -V

[0020] Among them, C inv is the investment cost of the photovoltaic system, C rep is the replacement cost of the photovoltaic system, C con is the fuel consumption cost of the diesel generator, C mai is the system operation and maintenance cost, and V is the residual value of the photovoltaic system at the end of the project.

[0021] Optionally, in the planning and operation method for promoting efficient photovoltaic consumption in remote areas according to the present invention, the photovoltaic system investment cost C inv Determined by the following formula:

[0022]

[0023] Among them, r is the annual interest rate, y is the planning period, S PV The installed capacity of the PV system, c inv,PV is the investment cost per unit capacity of the photovoltaic system.

[0024] Optionally, in the planning and operation method for promoting efficient photovoltaic consumption in remote areas according to the present invention, the photovoltaic system replacement cost is determined by the following formula:

[0025]

[0026] Among them, y life For the entire life cycle of the photovoltaic system.

[0027] Optionally, in the planning and operation method for promoting efficient photovoltaic consumption in remote areas according to the present invention, the fuel consumption cost C of the diesel generator is con Determined by the following formula:

[0028]

[0029] Among them, F DG,tot (t) is the total fuel consumed by all diesel generators in the system at time t, c fuel The unit fuel cost.

[0030] Optionally, in the planning and operation method for promoting efficient photovoltaic consumption in remote areas according to the present invention, the system operation and maintenance costs are determined by the following formula:

[0031]

[0032] Among them, T i max,DG is the maximum generating hours of diesel generator i, S i DG is the capacity of diesel generator i, c mai,DG is the operation and maintenance cost of the diesel generator per unit power generation, T max,PV is the maximum power generation hours of the photovoltaic system, S PV The installed capacity of the PV system, c mai,PV It is the operation and maintenance cost of the photovoltaic system based on its power generation.

[0033] Optionally, in the planning and operation method for promoting efficient photovoltaic consumption in remote areas according to the present invention, the residual value V of the photovoltaic system is determined by the following formula:

[0034]

[0035] Among them, y rem is the remaining life cycle of the equipment at the end of the project, y life For the entire life cycle of the photovoltaic system.

[0036] According to another aspect of the present invention, there is provided a computing device comprising: at least one processor; and a memory storing program instructions, wherein the program instructions are configured to be suitable for execution by the at least one processor, and the program instructions include instructions for executing the above-described planning and operation method for promoting efficient photovoltaic consumption in remote areas.

[0037] According to another aspect of the present invention, a readable storage medium storing program instructions is provided. When the program instructions are read and executed by a computing device, the computing device executes the above-mentioned planning and operation method for promoting efficient photovoltaic consumption in remote areas.

[0038] According to the present invention, a planning and operation scheme for promoting efficient photovoltaic power consumption in remote areas constructs a photovoltaic model and a diesel generator model for the remote area, generates a set of constraints, and then calculates the total investment and operation costs of the remote area energy system project during the planning period based on the photovoltaic and diesel generator models. Combined with the constraint set, the scheme plans efficient photovoltaic power consumption in the remote area with the goal of minimizing the total investment and operation costs. In this technical scheme, diesel generators serve as existing power structure equipment in remote areas, and photovoltaic system planning and operation optimization are performed based on them. This achieves a method of combining diesel generators with photovoltaic power generation to power remote areas. With the goal of minimizing the total investment and operation costs, efficient photovoltaic power consumption planning is carried out to solve the problem of optimal power supply in remote areas. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] To achieve the above and related purposes, certain illustrative aspects are described herein in conjunction with the following description and accompanying drawings, which indicate various ways in which the principles disclosed herein may be practiced, and all aspects and their equivalents are intended to fall within the scope of the claimed subject matter. The above and other objects, features, and advantages of the present disclosure will become more apparent by reading the following detailed description in conjunction with the accompanying drawings. Throughout this disclosure, the same reference numerals generally refer to the same parts or elements.

[0040] Figure 1 shows a structural block diagram of a computing device 100 according to one embodiment of the present invention; and

[0041] Figure 2 A flow chart of a planning and operating method 200 for promoting efficient photovoltaic consumption in remote areas according to an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0042] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0043] Figure 1 FIG. 1 shows a structural block diagram of a computing device 100 according to an embodiment of the present invention.

[0044] like Figure 1 As shown, in a basic configuration 102, computing device 100 typically includes system memory 106 and one or more processors 104. A memory bus 108 may be used for communication between processor 104 and system memory 106.

[0045] Depending on the desired configuration, the processor 104 can be any type of processor, including but not limited to: a microprocessor (UP), a microcontroller (UC), a digital signal processing unit (DSP), or any combination thereof. The processor 104 can include one or more levels of cache, such as a level 1 cache 110 and a level 2 cache 112, a processor core 114, and registers 116. An example processor core 114 can include an arithmetic logic unit (ALU), a floating point unit (FPU), a digital signal processing core (DSP core), or any combination thereof. An example memory controller 118 can be used with the processor 104, or in some implementations, the memory controller 118 can be an internal part of the processor 104.

[0046] Depending on the desired configuration, system memory 106 can be any type of memory, including but not limited to volatile memory (such as RAM), non-volatile memory (such as ROM, flash memory, etc.), or any combination thereof. System memory 106 can include an operating system 120, one or more applications 122, and program data 124. In some embodiments, application 122 can be arranged to execute instructions on the operating system by one or more processors 104 using program data 124.

[0047] Computing device 100 also includes storage 132 , which includes removable storage 136 and non-removable storage 138 .

[0048] The computing device 100 may also include a storage interface bus 134. The storage interface bus 134 enables communication from storage devices 132 (e.g., removable storage 136 and non-removable storage 138) to the basic configuration 102 via the bus / interface controller 130. At least a portion of the operating system 120, applications 122, and program data 124 may be stored on the removable storage 136 and / or the non-removable storage 138 and loaded into the system memory 106 via the storage interface bus 134 when the computing device 100 is powered on or when the application 122 is to be executed, and executed by the one or more processors 104.

[0049] The computing device 100 may also include an interface bus 140 that facilitates communication from various interface devices (e.g., output devices 142, peripheral interfaces 144, and communication devices 146) to the basic configuration 102 via the bus / interface controller 130. Example output devices 142 include a graphics processing unit 148 and an audio processing unit 150. These can be configured to facilitate communication with various external devices such as a display or speakers via one or more A / V ports 152. Example peripheral interfaces 144 may include a serial interface controller 154 and a parallel interface controller 156, which can be configured to facilitate communication with external devices such as input devices (e.g., a keyboard, mouse, pen, voice input device, touch input device) or other peripherals (e.g., a printer, scanner, etc.) via one or more I / O ports 158. Example communication devices 146 may include a network controller 160, which can be arranged to facilitate communication with one or more other computing devices 162 via a network communication link via one or more communication ports 164.

[0050] A network communication link can be an example of a communication medium. Communication media can generally be embodied as computer-readable instructions, data structures, program modules in a modulated data signal such as a carrier wave or other transmission mechanism, and can include any information delivery medium. A "modulated data signal" can be a signal in which one or more of a data set or a change therein can be carried out in a manner that encodes information in the signal. As non-limiting examples, communication media can include wired media such as a wired network or a dedicated line network, and various wireless media such as sound, radio frequency (RF), microwave, infrared (IR) or other wireless media. The term computer-readable medium as used herein can include both storage media and communication media.

[0051] The computing device 100 can be implemented as a personal computer including desktop and notebook computer configurations. Of course, the computing device 100 can also be implemented as part of a small-sized portable (or mobile) electronic device, such as a cellular phone, a digital camera, a personal digital assistant (PDA), a personal media player device, a wireless network browsing device, a personal head-mounted device, an application-specific device, or a hybrid device that can include any of the above functions. It can even be implemented as a server, such as a file server, a database server, an application server, and a web server. The embodiments of the present invention are not limited to this.

[0052] In an embodiment according to the present invention, computing device 100 is configured to execute method 200 for planning and operating to promote efficient photovoltaic power consumption in remote areas according to the present invention. Application 122, deployed on the operating system, includes multiple program instructions for executing method 200. These program instructions can instruct processor 104 to execute method 200 according to the present invention, so that computing device 200 can promote the planning and operation of efficient photovoltaic power consumption in remote areas by executing method 200 according to the present invention.

[0053] Figure 2 A flowchart of a method 200 for planning and operating a system for promoting efficient photovoltaic power consumption in remote areas according to an embodiment of the present invention is shown. The method 200 can be executed in a computing device (eg, the aforementioned computing device 100).

[0054] like Figure 2 As shown, method 200 begins at step S210. In step S210, a photovoltaic model and a diesel generator model are constructed for remote areas. Remote areas are defined as areas located at the end of urban and rural areas, with relatively underdeveloped economies, populations, and production and construction. Due to geographical constraints, remote areas generally have small populations, maintaining a generally stable growth pattern. Residents are dispersed, population density is low, and economies are relatively underdeveloped, typically relying on traditional agricultural production.

[0055] The output power of the photovoltaic system is related to factors such as solar radiation and ambient temperature. According to one embodiment of the present invention, the photovoltaic model is determined by the following formula:

[0056]

[0057] Among them, P ave,PV (t) is the average output power of the photovoltaic system at time t, η PV is the photovoltaic system efficiency, P max,PV is the maximum output power of the photovoltaic system, G glo (t) is the total solar radiation received by the photovoltaic system on the inclined surface at time t, G STA is the total solar radiation received by the photovoltaic system under standard experimental conditions, α is the temperature coefficient, T PV (t) is the working temperature at time t, T STA is the ambient temperature under standard experimental environment.

[0058] Working temperature T at time t PV (t) can be calculated as follows:

[0059]

[0060] Among them, T ENV (t) is the ambient temperature at time t, T rate,PV is the rated operating temperature.

[0061] The total solar radiation received by the photovoltaic system on the inclined surface usually includes three parts: direct sunlight, diffuse radiation from the sky, and radiation reflected by the ground. Therefore, the total solar radiation received by the photovoltaic system on the inclined surface at time t is G glo (t) can be expressed as follows:

[0062] G glo (t) = G dir (t)+G dif (t)+G ref (t) (3)

[0063] Among them, G dir (t), G dif (t), G ref (t) are the amount of direct solar radiation, diffuse sky radiation, and ground reflected radiation received by the photovoltaic system on the inclined surface at time t.

[0064] There are two cases for the diffuse radiation from the sky: cloudy and non-cloudy. In the case of cloudy days, the diffuse radiation from the sky received by the photovoltaic system on the inclined surface at time t is G dif(t) is determined by the following formula:

[0065] G dif (t) = G dif,hor (t)[TF] (4)

[0066] Among them, G dif,hor (t) is the diffuse radiation from the sky received by the photovoltaic system on the horizontal plane at time t, and TF is the Munir tilt coefficient.

[0067] In the case of a non-cloudy day, the amount of diffuse radiation G received by the photovoltaic system on the inclined surface at time t dif (t) is determined by the following formula:

[0068] G dif (t) = G dif,hor (t)[TF(1-F)+Fr B ] (5)

[0069] Among them, r B is the beam conversion coefficient.

[0070] The Munir tilt coefficient TF can be calculated using the following formula:

[0071]

[0072] Where β is the tilt angle and b is the irradiance distribution index.

[0073] The parameter F in formula (6) can be determined by the following formula:

[0074]

[0075]

[0076] Among them, G glo,hor (t) is the total solar radiation received by the photovoltaic system on the horizontal plane at time t, G ext,hor (t) is the external irradiance on the horizontal plane at time t.

[0077] The amount of direct solar radiation received by the photovoltaic system on the inclined surface at time tG dir (t) is determined by the following formula:

[0078]

[0079] Where θ(t) is the solar incident angle at time t, θ Z is the zenith angle, G dir,hor (t) is the amount of direct radiation received by the photovoltaic system on the horizontal plane at time t, which can be expressed as:

[0080] G dir,hor(t) = G glo,hor (t)-G dif,hor (t) (10)

[0081] The amount of radiation G reflected by the photovoltaic system on the inclined surface at time t ref (t) can be determined by the following formula:

[0082]

[0083] Where λ is the reflectivity.

[0084] Diesel generators are widely used in remote and rural areas as the sole power source or emergency backup power source due to their high reliability and low cost. The relationship between their fuel consumption and basic output power is expressed as follows:

[0085] F i DG (t) = k1P i DG,rate +k2P i DG (t) (12)

[0086] Among them, F i DG (t) is the fuel consumed by diesel generator i at time t, k1 and k2 are fuel consumption coefficients, P i DG,rate is the rated power of diesel generator i, P i DG (t) is the output power of diesel generator i at time instant.

[0087] According to one embodiment of the present invention, the diesel generator model in remote areas is determined by the following formula:

[0088]

[0089] Among them, F DG,tot (t) is the total fuel consumption of all diesel generators in the system at time t, that is, the total fuel consumption of the entire remote area diesel generator system at time t, n is the number of diesel generators, The start and stop status of diesel generator i at time t.

[0090] Then, step S220 is entered to generate a set of constraints, which includes power balance constraints, photovoltaic constraints, and diesel generator constraints. The power balance constraints are intended to ensure safe and stable operation of the system and sufficient power supply to users. According to one embodiment of the present invention, the power balance constraints are determined by the following formula:

[0091]

[0092] in, The start and stop status of diesel generator i at time t, Indicates that the diesel generator i is in the starting state at time t, Indicates that the diesel generator i is in shutdown state at time t, P i DG (t) is the output power of diesel generator i at time t, P PV (t) is the output power of the photovoltaic system at time t, P load (t) is the load at time t.

[0093] In this embodiment, the photovoltaic constraints include photovoltaic power generation constraints and photovoltaic installation capacity constraints, and the diesel generator constraints include diesel generator state constraints and diesel generator power constraints.

[0094] To ensure safe and stable operation of the system, the proportion of photovoltaic power generation must be within a certain limit. The photovoltaic power generation constraint is expressed as follows:

[0095]

[0096]

[0097] in, is the instantaneous penetration rate of photovoltaic power generation at time t, is the maximum penetration rate of photovoltaic power generation.

[0098] Within a region, the installed capacity of the photovoltaic system must not exceed the proportion of its load capacity. The photovoltaic installation capacity constraint is expressed as follows:

[0099] S PV,min ≤S PV ≤S PV,max (17)

[0100] Among them, S PV is the total installed capacity of photovoltaic power plants, S PV,min 、S PV,max They are the minimum and maximum capacity allowed for photovoltaic installation.

[0101] Since photovoltaic systems are greatly affected by the environment, their output is uncertain. To ensure the power demand of the load, at least one diesel generator must be in operation at all times. The diesel generator state constraint is expressed as follows:

[0102]

[0103] In order to ensure that the diesel generator is in good operating condition, thereby reducing its maintenance costs and extending its service life, its output must be within a certain reasonable range. The diesel generator power constraint is expressed as follows:

[0104] P i DG,min ≤P i DG (t)≤P i DG,max (19)

[0105] Among them, P i DG,min 、P i DG,max are the minimum and maximum output of diesel generator i respectively.

[0106] In step S230, the total investment and operating cost of the remote region energy system project during the planning period is obtained based on the PV model and the diesel generator model. According to one embodiment of the present invention, since the planning and operation optimization of the PV system is performed on the existing power infrastructure in the remote region, the investment cost of the diesel generator is not considered. The total investment and operating cost generally includes the PV system investment cost, the PV system replacement cost, the operation and maintenance costs of the diesel generator and PV system, and the residual value of the PV system.

[0107] In this embodiment, the total investment and operating cost is determined by the following formula:

[0108] f=C inv +C rep +C con +C mai -V (20)

[0109] Among them, C inv is the investment cost of the photovoltaic system, C rep is the replacement cost of the photovoltaic system, C con is the fuel consumption cost of the diesel generator, C mai is the system operation and maintenance cost, and V is the residual value of the photovoltaic system at the end of the project.

[0110] In the planning stage, only the investment cost of the photovoltaic system is considered, so the investment cost of the photovoltaic system C inv Determined by the following formula:

[0111]

[0112] Among them, r is the annual interest rate, y is the planning period, S PV The installed capacity of the PV system, c inv,PV is the investment cost per unit capacity of the photovoltaic system.

[0113] Since the equipment life cycle is limited, equipment with a life cycle shorter than the project planning period needs to be replaced during the process, so the replacement cost of the equipment needs to be actively paid. The replacement cost of the photovoltaic system is determined by the following formula:

[0114]

[0115] Among them, y life For the entire life cycle of the photovoltaic system.

[0116] The energy input of the photovoltaic system is solar energy, so the fuel cost can be ignored. However, the diesel generator needs to consume fuel during operation, so the fuel consumption cost of the diesel generator is C con Determined by the following formula:

[0117]

[0118] Among them, F DG,tot (t) is the total fuel consumed by all diesel generators in the system at time t, c fuel The unit fuel cost.

[0119] All equipment in the system will experience losses during operation and require regular maintenance. The maintenance cost is roughly proportional to the output power. The system operation and maintenance cost is determined by the following formula:

[0120]

[0121] Among them, T i max,DG is the maximum generating hours of diesel generator i, S i DG is the capacity of diesel generator i, c mai,DG is the operation and maintenance cost of the diesel generator per unit power generation, T max,PV is the maximum power generation hours of the photovoltaic system, S PV The installed capacity of the PV system, c mai,PV It is the operation and maintenance cost of the photovoltaic system based on its power generation.

[0122] The PV system can still work normally after the project is completed, so it still has a certain residual value. The residual value V of the PV system is determined by the following formula:

[0123]

[0124] Among them, y rem is the remaining life cycle of the equipment at the end of the project, y life For the entire life cycle of the photovoltaic system.

[0125] Finally, step S240 is executed to plan efficient PV integration in remote areas, combining the constraint set and minimizing the total investment and operating costs. According to one embodiment of the present invention, a planning and operation model is constructed to minimize the total investment and operating costs, combining power balance constraints, PV generation constraints, PV installation capacity constraints, diesel generator status constraints, and diesel generator power constraints. This model is used to determine the optimal capacity for PV system integration and the optimal post-connection system operation plan.

[0126] According to an embodiment of the present invention, a planning and operation scheme for promoting efficient photovoltaic power consumption in remote areas is implemented by constructing a photovoltaic model and a diesel generator model for the remote areas, and generating a set of constraints. Based on the photovoltaic model and the diesel generator model, the total investment and operation cost of the energy system project in the remote areas during the planning period is obtained. Combined with the set of constraints, the efficient photovoltaic power consumption in the remote areas is planned with the goal of minimizing the total investment and operation cost. In the above technical scheme, diesel generators are used as existing power structure equipment in remote areas, and the planning and operation of photovoltaic systems are optimized based on them. This realizes a method of combining diesel generators with photovoltaic power generation to supply power to remote areas. With the goal of minimizing the total investment and operation cost, the optimal capacity of photovoltaic system access and the optimal operation plan of the system after access are studied, and efficient photovoltaic system consumption planning is carried out to solve the problem of optimal power supply in remote areas.

[0127] A9. The method as described in any one of A6-A8, wherein the fuel consumption cost C of the diesel generator is con Determined by the following formula:

[0128]

[0129] Among them, F DG,tot (t) is the total fuel consumed by all diesel generators in the system at time t, c fuel The unit fuel cost.

[0130] A10. The method according to any one of A6 to A9, wherein the system operation and maintenance fee is determined by the following formula:

[0131]

[0132] Among them, T i max,DG is the maximum generating hours of diesel generator i, S i DG is the capacity of diesel generator i, c mai,DG is the operation and maintenance cost of the diesel generator per unit power generation, T max,PV is the maximum power generation hours of the photovoltaic system, S PV The installed capacity of the PV system, c mai,PVIt is the operation and maintenance cost of the photovoltaic system based on its power generation.

[0133] A11. The method according to any one of A6 to A10, wherein the residual value V of the photovoltaic system is determined by the following formula:

[0134]

[0135] Among them, y rem is the remaining life cycle of the equipment at the end of the project, y life For the entire life cycle of the photovoltaic system.

[0136] The various techniques described herein may be implemented in conjunction with hardware or software, or a combination thereof. Thus, the methods and apparatus of the present invention, or certain aspects or portions of the methods and apparatus of the present invention, may be implemented in the form of program codes (i.e., instructions) embedded in a tangible medium, such as a removable hard disk, a USB flash drive, a floppy disk, a CD-ROM, or any other machine-readable storage medium, wherein when the program is loaded into a machine such as a computer and executed by the machine, the machine becomes an apparatus for practicing the present invention.

[0137] When program code is executed on a programmable computer, the computing device generally includes a processor, a storage medium readable by the processor (including volatile and non-volatile memory and / or storage elements), at least one input device, and at least one output device. The memory is configured to store the program code, and the processor is configured to execute the planning and operation method for promoting efficient photovoltaic power consumption in remote areas according to the instructions in the program code stored in the memory.

[0138] By way of example and not limitation, readable media include readable storage media and communication media. Readable storage media store information such as computer-readable instructions, data structures, program modules, or other data. Communication media typically embody computer-readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave or other transport mechanism, and include any information delivery medium. Combinations of any of the above are also included within the scope of readable media.

[0139] In the description provided herein, the algorithms and displays are not inherently related to any particular computer, virtual system, or other device. Various general-purpose systems may also be used in conjunction with the examples of the present invention. Based on the above description, it is apparent that the structure required for constructing such systems is well understood. In addition, the present invention is not directed to any specific programming language. It should be understood that various programming languages ​​may be utilized to implement the present invention described herein, and the description of specific languages ​​above is provided for the purpose of disclosing the preferred embodiment of the present invention.

[0140] In the description provided herein, a large number of specific details are described. However, it is understood that embodiments of the present invention can be practiced without these specific details. In some instances, well-known methods, structures, and techniques are not shown in detail so as not to obscure the understanding of this description.

[0141] Similarly, it should be understood that in order to streamline the present disclosure and aid in understanding one or more of the various inventive aspects, in the above description of exemplary embodiments of the invention, various features of the invention are sometimes grouped together into a single embodiment, figure, or description thereof. However, this disclosed method should not be interpreted as reflecting an intention that the claimed invention requires more features than are expressly recited in each claim. Rather, as reflected in the claims below, inventive aspects lie in less than all the features of the individual embodiments disclosed above. Accordingly, the claims that follow the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of the invention.

[0142] Those skilled in the art will appreciate that the modules, units, or components of the devices in the examples disclosed herein may be arranged in the device described in the embodiment, or alternatively may be located in one or more devices different from the devices in the examples. The modules in the foregoing examples may be combined into one module or further divided into multiple submodules.

[0143] Those skilled in the art will appreciate that the modules in the devices in the embodiments may be adaptively changed and arranged in one or more devices different from the embodiments. The modules or units or components in the embodiments may be combined into one module or unit or component, and in addition may be divided into multiple submodules or subunits or subcomponents. All features disclosed in this specification (including the accompanying claims, abstracts and drawings) and all processes or units of any method or device disclosed herein may be combined in any combination, except that at least some of such features and / or processes or units are mutually exclusive. Unless expressly stated otherwise, each feature disclosed in this specification (including the accompanying claims, abstracts and drawings) may be replaced by an alternative feature providing the same, equivalent or similar purpose.

[0144] Furthermore, those skilled in the art will appreciate that although some embodiments described herein include certain features included in other embodiments but not other features, combinations of features from different embodiments are intended to be within the scope of the present invention and to form different embodiments. For example, in the claims below, any of the claimed embodiments may be used in any combination.

[0145] In addition, some of the embodiments are described herein as methods or combinations of method elements that can be implemented by a processor of a computer system or by other devices that perform the functions described. Thus, a processor having the necessary instructions for implementing the method or method element forms a device for implementing the method or method element. Furthermore, the elements described herein of the device embodiments are examples of devices for implementing the functions performed by the elements for the purpose of implementing the invention.

[0146] As used herein, unless otherwise specified, the use of ordinal numbers "first," "second," "third," etc. to describe common objects merely indicates that different instances of similar objects are involved and are not intended to imply that the objects so described must have a given order in time, space, ranking, or in any other manner.

[0147] Although the present invention has been described with respect to a limited number of embodiments, it will be apparent to those skilled in the art, having benefit of the foregoing description, that other embodiments are contemplated within the scope of the invention thus described. Furthermore, it should be noted that the language used in this specification has been selected primarily for readability and didactic purposes, rather than for the purpose of explaining or limiting the subject matter of the present invention. Consequently, many modifications and variations will be apparent to those skilled in the art without departing from the scope and spirit of the appended claims. The disclosure of the present invention is intended to be illustrative rather than restrictive of the scope of the invention, which is defined by the appended claims.

Claims

1. A planning and operation method for promoting efficient photovoltaic power consumption in remote areas, comprising: Construct photovoltaic models and diesel generator models in remote areas respectively; generating a set of constraints, the set of constraints including a power balance constraint, a photovoltaic constraint, and a diesel generator constraint; Based on the photovoltaic model and the diesel generator model, obtaining the total investment and operation cost of the remote area energy system project during the planning period; In combination with the set of constraints, with the goal of minimizing the total investment and operation cost, planning for efficient photovoltaic consumption in remote areas; The photovoltaic model is determined by the following formula: Among them, P ave,PV (t) is the average output power of the photovoltaic system at time t, η PV is the photovoltaic system efficiency, P max,PV is the maximum output power of the photovoltaic system, G glo (t) is the total solar radiation received by the photovoltaic system on the inclined surface at time t, G STA is the total solar radiation received by the photovoltaic system under standard experimental conditions, α is the temperature coefficient, T PV (t) is the working temperature at time t, T STA is the ambient temperature under standard experimental environment; The diesel generator model is determined by the following formula: Among them, F DG,tot (t) is the total fuel consumed by all diesel generators in the system at time t, n is the number of diesel generators, is the start / stop state of diesel generator i at time t, k1 and k2 are fuel consumption coefficients, P i DG,rate is the rated power of diesel generator i, P i DG (t) is the output power of diesel generator i at time instant.

2. The method according to claim 1, wherein The power balance constraint is determined by the following formula: in, The start and stop status of diesel generator i at time t, Indicates that the diesel generator i is in the starting state at time t, Indicates that the diesel generator i is in shutdown state at time t, P i DG (t) is the output power of diesel generator i at time t, P PV (t) is the output power of the photovoltaic system at time t, P load (t) is the load at time t.

3. The method according to claim 1, wherein The photovoltaic constraints include photovoltaic power generation constraints and photovoltaic installation capacity constraints, and the diesel generator constraints include diesel generator state constraints and diesel generator power constraints.

4. The method according to claim 1, wherein The total investment and operating cost is determined by the following formula: f=C inv +C rep +C con +C mai -V Among them, C inv is the investment cost of the photovoltaic system, C rep is the replacement cost of the photovoltaic system, C con is the fuel consumption cost of the diesel generator, C mai is the system operation and maintenance cost, and V is the residual value of the photovoltaic system at the end of the project.

5. The method according to claim 4, wherein: The photovoltaic system investment cost C inv Determined by the following formula: Among them, r is the annual interest rate, y is the planning period, S PV The installed capacity of the PV system, c inv,PV is the investment cost per unit capacity of the photovoltaic system.

6. The method according to claim 4 or 5, wherein: The photovoltaic system replacement cost is determined by the following formula: Among them, y life For the entire life cycle of the photovoltaic system.

7. A computing device comprising: at least one processor; as well as A memory storing program instructions, wherein the program instructions are configured to be executed by the at least one processor, and the program instructions include instructions for executing the method according to any one of claims 1 to 6.

8. A readable storage medium storing program instructions, wherein when the program instructions are read and executed by a computing device, the computing device executes the method according to any one of claims 1 to 6.

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