Method and device for planning a clean energy power transmission system based on sandy, Gobi and desert areas

Abstract

The present disclosure provides a method and device for power transmission system planning based on clean energy in sandy, arid and waste areas, relating to the technical field of clean energy. The method includes: determining the reference output of clean energy in the sending-end province of the sandy, arid and waste areas and the electricity consumption pattern of the receiving end; initializing the power station parameters of the target power station in the sending-end province of the sandy, arid and waste areas; generating a target power transmission curve according to the reference output of clean energy, the electricity consumption pattern of the receiving end, the power station parameters and a preset power transmission rule; constructing a power production time series model based on the power station parameters corresponding to the target power transmission curve and the preset power transmission rule; performing simulation based on the power production time series model, adjusting the power station parameters, obtaining a final power transmission reference curve that meets the power transmission objective function and power transmission constraint conditions, and using the adjusted power station parameters as the reference parameters for power station construction. Based on this technical solution, technical support can be provided for the power transmission system of clean energy.

Description

Technical Field

[0001] The present disclosure relates to the field of clean energy technologies, and particularly to a method and device for planning a clean energy power transmission system based on desert, gobi, and desert areas. Background Art

[0002] With the transformation from dual control of energy consumption to dual control of carbon emissions and the continuous increase in the non-hydro consumption responsibility weight, the demand for renewable energy electricity in the central, eastern, and southern regions is becoming increasingly urgent.

[0003] The energy resources and power demand in China show a reverse distribution pattern. It has become an inevitable trend to transmit clean energy resources in desert, gobi, and desert areas to power-deficient receiving provinces through UHVDC power. Clean energy power generation fluctuates randomly according to power. Its randomness, volatility, and intermittency pose huge challenges to the reliable power supply of the receiving power grid in a power system dominated by clean energy. The risk of large-scale 100% clean energy bases participating in the power market transaction increases sharply, and the revenue guarantee of power sales targets is threatened.

[0004] Currently, there is no mature power trading strategy for the power transmission of clean energy bases in desert, gobi, and desert areas. Providing a power supply strategy for the power transmitted by clean energy has become an urgent problem to be solved.

[0005] It should be noted that the information disclosed in the above background art section is only used to strengthen the understanding of the background of the present disclosure, and thus may include information that does not constitute the prior art known to those of ordinary skill in the art. Summary of the Invention

[0006] To overcome the problems existing in the related art, the embodiments of the present disclosure provide a method and device for planning a clean energy power transmission system based on desert, gobi, and desert areas, which can provide a path for the planning work of the DC channel transmission of clean energy bases in desert, gobi, and desert areas, so as to provide a technical reference for the safe, stable, and reliable guarantee of the power transmission system.

[0007] According to the first aspect of the embodiments of the present disclosure, a method for planning a clean energy power transmission system based on desert, gobi, and desert areas is provided. The method includes: determining the reference clean energy output of the sending province and the receiving-end power consumption pattern in desert, gobi, and desert areas; initializing the power station parameters of the target power stations in the sending province of desert, gobi, and desert areas, where the target power stations include clean energy power generation power stations and energy storage power stations in desert, gobi, and desert areas; generating a reference power transmission curve for the target power according to the reference clean energy output, the receiving-end power consumption pattern, the power station parameters, and the preset power transmission rules; constructing a power production time series model based on the power station parameters and the preset power transmission rules corresponding to the reference power transmission curve for the target power; performing simulation based on the power production time series model, adjusting the power station parameters, obtaining a final reference power transmission curve that meets the power transmission objective function and power transmission constraint conditions, and using the adjusted power station parameters as the reference parameters for power station construction.

[0008] Optionally, obtain the baseline output series data of clean energy in the sending-end province of the desert, Gobi, and arid regions for at least one whole year. The baseline output series data is data with a preset time scale; determine the output of the clean energy in the whole year with the highest probability among at least one whole year of clean energy as the typical baseline output of clean energy; based on the typical baseline output of clean energy, calculate the cumulative power generation of clean energy within each month on a monthly scale and perform frequency ranking on the cumulative power generation; take the output on the day when the frequency ranking of the cumulative power generation in each month meets the preset probability as the representative output of each month, and obtain 12 representative outputs; determine the 12 representative outputs as the reference output of clean energy.

[0009] Optionally, obtain the original load curve and the residual load curve of the receiving end; determine the duration intervals of the midday peak, evening peak, and other periods at the receiving end according to the original load curve and the residual load curve.

[0010] Optionally, generate an initial power transmission reference curve according to the reference output of clean energy, the power consumption law at the receiving end, and the power station parameters; based on the initial power transmission reference curve, determine whether the power transmission situation of the clean energy multi-energy complementary system under the initialized power station parameters meets the preset power transmission rules. The clean energy multi-energy complementary system includes the target power station; if it does not meet the preset power transmission rules, then adjust the power transmission capacity of the initial power transmission reference curve based on the power consumption law at the receiving end to obtain an adjusted power transmission reference curve, and re-judge whether the power transmission situation of the clean energy multi-energy complementary system meets the preset power transmission rules based on the adjusted power transmission reference curve; if it does not meet the preset power transmission rules, then continue to adjust the adjusted power transmission reference curve based on the power consumption law at the receiving end; if it meets the preset power transmission rules, then determine the adjusted power transmission reference curve as the target power transmission reference curve; where the preset power transmission rules are: the second percentage of the energy storage capacity of the energy storage power station during the midday peak is used for power generation by the energy storage power station during the evening peak, and the power transmission capacity during the midday peak is greater than the power transmission capacity during the evening peak.

[0011] Optionally, if the second percentage of the energy storage capacity of the energy storage power station during the midday peak does not meet the power generation requirement of the energy storage power station during the evening peak, then reduce the power transmission capacity during the midday peak; if the power transmission capacity during the midday peak is reduced and the preset power transmission rules are still not met, then continue to reduce the power transmission capacity during the evening peak or other periods.

[0012] Optionally, the power transmission objective function includes a first objective function and a second objective function; the first objective function is the net present value of clean energy in the sending-end province of the desert, Gobi, and arid regions based on the electricity selling price, the grid-connected electricity quantity, and the total project cost of the target power station in the sending-end province of the desert, Gobi, and arid regions; the second objective function is the guarantee rate during peak hours at the receiving end; wherein, the total project cost includes: initial investment cost, project cycle replacement cost, operation and maintenance cost, and electricity purchase cost; the clean energy power generation power station includes at least one of the following: wind farm power station, photovoltaic power station; the energy storage power station includes at least one of the following: pumped storage power station, electrochemical energy storage power station; the constraint conditions include at least one of the following: system constraints of the clean energy multi-energy complementary system in the sending-end province of the desert, Gobi, and arid regions, clean energy power source constraints, pumped storage power station constraints, electrochemical energy storage power station constraints, curtailment rate constraints, power transmission capacity constraints, channel utilization hour constraints, and power shortage rate constraints.

[0013] Optionally, based on the first power production time series model for simulation, if the power transmission objective function and the power transmission constraint conditions are not satisfied, adjust the first power station parameters to the second power station parameters; perform simulation based on the second power production time series model generated based on the second power station parameters, and determine whether the power transmission objective function and the power transmission constraint conditions are satisfied. If the objective function and the power transmission constraint conditions are satisfied, use the second power station parameters as the power station construction reference parameters, and determine the second power transmission reference curve generated based on the second power station parameters as the final power transmission reference curve; wherein, the target power transmission reference curve corresponding to the first power station parameters is the first power transmission reference curve, and the target power transmission reference curve corresponding to the second power station parameters is the second power transmission reference curve.

[0014] According to the second aspect of the embodiments of the present disclosure, there is provided a device for power transmission system planning based on clean energy in the desert, Gobi, and arid regions. The device for power transmission system planning based on clean energy in the desert, Gobi, and arid regions includes: a determination module, an initialization module, a generation module, a construction module, and a simulation module; the determination module is configured to determine the reference output of clean energy in the sending-end province of the desert, Gobi, and arid regions and the electricity consumption pattern at the receiving end; the initialization module is configured to initialize the power station parameters of the target power station in the sending-end province of the desert, Gobi, and arid regions, and the target power station includes a clean energy power generation power station and an energy storage power station in the desert, Gobi, and arid regions; the generation module is configured to generate a target power transmission reference curve according to the reference output of clean energy, the electricity consumption pattern at the receiving end, the power station parameters, and the preset power transmission rules; the construction module is configured to construct a power production time series model based on the power station parameters corresponding to the target power transmission reference curve and the preset power transmission rules; the simulation module is configured to perform simulation based on the power production time series model, adjust the power station parameters, obtain the final power transmission reference curve that satisfies the power transmission objective function and the power transmission constraint conditions, and use the adjusted power station parameters as the power station construction reference parameters.

[0015] Optionally, the determination module is specifically configured to: obtain the data series of the benchmark output of the clean energy in at least one whole year of the sending-end province in the desert, gobi and wasteland areas, where the benchmark output data series is data with a preset time scale; determine the output of the clean energy in the whole year with the highest probability among at least one whole year of the clean energy as the typical benchmark output of the clean energy; calculate the cumulative power generation of the clean energy in each month on a monthly scale based on the typical benchmark output of the clean energy, and perform frequency ranking on the cumulative power generation; use the output on the day when the frequency ranking of the cumulative power generation in each month meets the preset probability as the representative output of each month, and obtain 12 representative outputs; and determine the 12 representative outputs as the reference output of the clean energy.

[0016] Optionally, the determination module is specifically configured to: obtain the original load curve and the residual load curve of the receiving end; and determine the duration intervals of the noon peak, the evening peak and other periods of the receiving end according to the original load curve and the residual load curve.

[0017] Optionally, the generation module is specifically configured to: generate an initial power transmission reference curve according to the reference output of the clean energy, the power consumption law of the receiving end and the power station parameters; based on the initial power transmission reference curve, determine whether the power transmission situation of the clean energy multi-energy complementary system under the initialized power station parameters meets the preset power transmission rules, where the clean energy multi-energy complementary system includes the target power station; if it does not meet the preset power transmission rules, adjust the power transmission capacity of the initial power transmission reference curve based on the power consumption law of the receiving end to obtain an adjusted power transmission reference curve, and re-determine whether the power transmission situation of the clean energy multi-energy complementary system meets the preset power transmission rules based on the adjusted power transmission reference curve; if it does not meet the preset power transmission rules, continue to adjust the adjusted power transmission reference curve based on the power consumption law of the receiving end; if it meets the preset power transmission rules, determine the adjusted power transmission reference curve as the target power transmission reference curve; where the preset power transmission rules are: the second percentage of the energy storage capacity of the energy storage power station during the noon peak is used for power generation by the energy storage power station during the evening peak, and the power transmission capacity during the noon peak is greater than the power transmission capacity during the evening peak.

[0018] Optionally, the generation module is specifically configured to: if the second percentage of the energy storage capacity of the energy storage power station during the noon peak does not meet the power generation requirement of the energy storage power station during the evening peak, reduce the power transmission capacity during the noon peak; if the power transmission capacity during the noon peak does not meet the preset power transmission rules after reduction, continue to reduce the power transmission capacity during the evening peak or other periods.

[0019] Optionally, the power transmission objective function includes a first objective function and a second objective function; the first objective function is to generate the net present value of clean energy in the sending-end province of the desert, Gobi, and arid areas based on the electricity selling price, the grid-connected electricity volume, and the total project cost of the target power station in the sending-end province of the desert, Gobi, and arid areas; the second objective function is the receiving-end peak-hour guarantee rate; wherein, the total project cost includes: initial investment cost, project cycle replacement cost, operation and maintenance cost, and electricity purchase cost; the clean energy power generation power station includes at least one of the following: wind farm power station, photovoltaic power station; the energy storage power station includes at least one of the following: pumped-storage power station, electrochemical energy storage power station; the constraint conditions include at least one of the following: system constraints of the clean energy multi-energy complementary system in the sending-end province of the desert, Gobi, and arid areas, clean energy power source constraints, pumped-storage power station constraints, electrochemical energy storage power station constraints, curtailment rate constraints, power transmission capacity constraints, channel utilization hour constraints, and power shortage rate constraints.

[0020] Optionally, the simulation module is configured to perform simulation based on the first power production time series model. If the power transmission objective function and the power transmission constraint conditions are not satisfied, adjust the first power station parameters to the second power station parameters; perform simulation based on the second power production time series model generated based on the second power station parameters, and determine whether the power transmission objective function and the power transmission constraint conditions are satisfied. If the objective function and the power transmission constraint conditions are satisfied, use the second power station parameters as the power station construction reference parameters, and determine the second power transmission reference curve generated based on the second power station parameters as the final power transmission reference curve; wherein, the target power transmission reference curve corresponding to the first power station parameters is the first power transmission reference curve, and the target power transmission reference curve corresponding to the second power station parameters is the second power transmission reference curve.

[0021] According to the third aspect of the embodiments of the present disclosure, there is provided a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, it implements the method for planning a clean energy power transmission system based on the desert, Gobi, and arid areas as described in the first aspect.

[0022] According to the fourth aspect of the embodiments of the present disclosure, there is provided a computer device, including a memory, a processor, and computer-readable instructions stored on the memory and executable on the processor, wherein when the computer-readable instructions are executed by the processor, they implement the method for planning a clean energy power transmission system based on the desert, Gobi, and arid areas as described in the first aspect.

[0023] The technical solutions provided by the embodiments of the present disclosure may include the following beneficial effects:

[0024] In the embodiments of the present disclosure, a planning and design for large new energy bases in sandy, gobi, and desert areas that takes into account new energy consumption, comprehensive benefits, and power supply guarantee is provided. The impact of the lack of conventional regulating power sources at the sending end, the residual load of the receiving-end power grid, and the power supply guarantee requirements are considered overall. Based on the reference output of clean energy in the sending-end provinces of the sandy, gobi, and desert areas and the electricity consumption patterns at the receiving end, the reference parameters for power station construction and the final power transmission reference curve in the sending-end provinces of the sandy, gobi, and desert areas can be planned. For the external transmission of clean energy in the sandy, gobi, and desert areas, a reliable power trading strategy can be provided, providing a technical reference for the safe, stable, and reliable guarantee of future UHV DC transmission systems dominated by clean energy. Specifically, based on the power transmission reference curve, when the output of the wind farm generates redundancy during the low-load period, the pumped-storage power station can purchase electricity jointly from the wind power and the power grid during pumping, reducing the power purchase cost; during the high-load period, the output of the photovoltaic power station is relatively high and the output of the wind power is relatively low, and the pumped-storage power station can purchase electricity jointly from the photovoltaic power station and the power grid. When the pumped-storage power station is in the pumping state or the electrochemical energy storage power station is in the energy storage state, the frequency modulation revenue is relatively high during some overlapping periods, and the energy storage duration can be appropriately increased while reducing the capacity ratio participating in the energy market, so as to obtain higher ancillary service revenue. When the pumped-storage power station or the electrochemical energy storage power station is in the power generation state, during the period when the market electricity price is relatively high, the power station unit allocation capacity tends to the energy market, so as to obtain higher electricity revenue.

[0025] It should be understood that the above general description and the following detailed description are only exemplary and explanatory, and do not limit the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] The accompanying drawings herein are incorporated into the specification and constitute a part of the present disclosure, showing embodiments consistent with the present disclosure and, together with the specification, used to explain the principles of the present disclosure.

[0027] Figure 1 Schematic diagram of a power system architecture based on clean energy in the sandy, gobi, and desert areas provided by the embodiments of the present disclosure.

[0028] Figure 2 Schematic diagram of the method flow for the planning of a clean energy power transmission system based on the sandy, gobi, and desert areas provided by the embodiments of the present disclosure.

[0029] Figure 3 Schematic diagram showing that there is no power shortage in the power transmission reference curve provided by the embodiments of the present disclosure.

[0030] Figure 4 Schematic diagram showing that there is a power shortage in the power transmission reference curve provided by the embodiments of the present disclosure.

[0031] Figure 5A schematic flowchart of a clean energy power transmission system planning based on sandy, desert and wasteland areas provided by an embodiment of the present disclosure.

[0032] Figure 6 A hardware structure diagram of a computer device where a device for clean energy power transmission system planning based on sandy, desert and wasteland areas provided by an embodiment of the present disclosure is located.

[0033] Figure 7 A schematic structural diagram of a device for clean energy power transmission system planning based on sandy, desert and wasteland areas provided by an embodiment of the present disclosure. Detailed implementation manners

[0034] Here, exemplary embodiments will be described in detail, and examples thereof are shown in the accompanying drawings. When the following description refers to the accompanying drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The implementation manners described in the following exemplary embodiments do not represent all implementation manners consistent with the present disclosure. On the contrary, they are merely examples of devices and methods consistent with some aspects of the present disclosure as detailed in the appended claims.

[0035] The terms used in the present disclosure are for the purpose of describing specific embodiments only and are not intended to limit the present disclosure. The singular forms "a", "the" and "said" used in the present disclosure and the appended claims are also intended to include the plural forms unless the context clearly indicates otherwise. It should also be understood that the term "and / or" as used herein refers to and includes any or all possible combinations of one or more of the associated listed items.

[0036] It should be understood that although the terms first, second, third, etc. may be used in the present disclosure to describe various information, such information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, without departing from the scope of the present disclosure, the first information may also be referred to as the second information, and similarly, the second information may also be referred to as the first information. Depending on the context, the word "if" as used herein may be interpreted as "when" or "while" or "in response to determining".

[0037] Next, the embodiments of the present disclosure will be described in detail.

[0038] Figure 1 Shows a schematic diagram of a power system architecture of a clean energy to which the embodiments of the present disclosure can be applied. As Figure 1As shown in the figure, the power system architecture 100 of clean energy may include a power supply system 1001, an energy storage system 1002, and a receiving end 1003. Among them, the power supply system 1001 includes: a wind power station, a photovoltaic power station, a pumped-storage power station, and an electrochemical energy storage power station. The energy storage system 1002 includes: a pumped-storage power station and an electrochemical energy storage power station. Among them, the wind power station generates electricity using wind power, the photovoltaic power station converts solar energy into electrical energy using photovoltaic panels, the pumped-storage power station is used to convert electrical energy into potential energy or convert potential energy into electrical energy, and the electrochemical energy storage power station is used to store and release electrical energy using electrochemical reactions.

[0039] The method provided by the embodiments of the present disclosure may be executed by a terminal device. Correspondingly, the device may be disposed in the terminal device. However, those skilled in the art can easily understand that the method provided by the embodiments of the present disclosure may also be executed by a server. Correspondingly, the device may also be disposed in the server. No special limitation is made in this exemplary embodiment.

[0040] Figure 2 It is a schematic flowchart of a method for planning a clean energy power transmission system based on sandy, Gobi, and desert areas provided by an embodiment of the present disclosure. As Figure 2 shown, it includes the following S201 to S205:

[0041] S201. Determine the reference output of clean energy in the sending-end province of the sandy, Gobi, and desert areas and the electricity consumption pattern of the receiving end.

[0042] Exemplarily, in the embodiments of the present disclosure, clean energy may be energy such as wind and light. In practical applications, it may also include other energy sources with less environmental impact and almost no pollution.

[0043] Exemplarily, the output of the first type of clean energy in the first region may indicate the law of generating energy using the first type of clean energy in the first region. Taking a wind farm as an example, the wind force and duration are different in different seasons, and the wind force and duration are different at different times of the day. Therefore, the power generated based on wind power is also different.

[0044] In the embodiments of the present disclosure, the electricity consumption pattern of the receiving end may indicate the regularity shown during the electricity consumption process. For example, it may include the peak electricity consumption period and the non-peak electricity consumption period of the receiving end.

[0045] S202. Initialize the power station parameters of the target power stations in the sending-end province of the sandy, Gobi, and desert areas.

[0046] Among them, the target power stations include clean energy power generation power stations and energy storage power stations in the sandy, Gobi, and desert areas; the clean energy power generation power stations include at least one of the following: wind power stations and photovoltaic power stations; the energy storage power stations include at least one of the following: pumped-storage power stations and electrochemical energy storage power stations.

[0047] In the embodiments of the present disclosure, the power station parameters of the target power station include the installed capacity of the power station, and the power station parameters of the energy storage power station further include the energy storage duration and the power generation duration of the energy storage power station.

[0048] S203. Generate a target power transmission reference curve according to the clean energy reference output, the receiving-end power consumption law, the power station parameters, and the preset power transmission rules.

[0049] S204. Construct a power production time series model based on the power station parameters and the preset power transmission rules corresponding to the target power transmission reference curve.

[0050] S205. Perform simulation based on the power production time series model, adjust the power station parameters, obtain the final power transmission reference curve that meets the power transmission objective function and the power transmission constraint conditions, and use the adjusted power station parameters as the reference parameters for power station construction.

[0051] Among them, the area formed between 0 and the final power transmission reference curve where the power transmission capacity is equal is denoted as the L area, the area between the final power transmission reference curve and the maximum power transmission capacity of the channel is denoted as the S area, and the area with power shortage in the L area is denoted as the P area. Specifically, the L area represents the power transmission level considering the sending-end resources and the receiving-end power consumption characteristics, that is, the upper limit of the L area is the final power transmission reference curve; the S area represents the wind and solar power generation that cannot be stored by the pumped-storage power station above the power transmission reference curve and below the maximum power transmission capacity of the channel, which can be utilized, such as as an emergency power source, for spot trading with the power demand side. The P area represents the situation where there may still be a power shortage under the condition of meeting the overall power transmission objective.

[0052] Figure 3 FIG. is a schematic diagram of a power transmission reference curve provided by the embodiments of the present disclosure without power shortage. Among them, in Figure 3 , the maximum power transmission capacity of the channel is 8 million kilowatts (kW), and there is no P area in the area divided based on the power transmission reference curve. The power transmission reference curve includes the output of the wind power station at each time period, the output of the photovoltaic power station at each time period, the energy storage situation of the pumped-storage power station and the electrochemical energy storage power station at each time period, as well as the power curtailment time periods of the wind farm power station and the photovoltaic power station. From Figure 3It can be seen that between 1 o'clock and 10 o'clock, the power transmission reference curve is flat. Among them, during the period from 1 o'clock to 7 o'clock, the wind power generation basically meets the load demand of the clean energy multi-energy complementary system, and the excess wind energy is stored by pumped storage; during the period from 8 to 10 o'clock, the excess wind and solar power generation can be stored by pumped storage. Between 11 o'clock and 18 o'clock, the wind and solar power are in large output, and the clean energy generates more electricity, and the pumped storage power station can store more energy. If it exceeds the energy storage capacity of the pumped storage power station, curtailment is carried out. Between 21 o'clock and 24 o'clock, the photovoltaic output is basically 0, and the pumped storage power station uses the stored energy for power generation, and the wind power and energy storage power generation work together to meet the load demand of the receiving end. At this time, below the power transmission reference curve, that is, the power generation in area L means that the electricity consumption of the receiving end can be guaranteed; the area where the power output is greater than the power transmission capacity and less than the maximum power transmission capacity of the channel is area S, which means the electricity remaining after meeting the electricity consumption of the receiving end and can be used for spot trading; area P means that the electricity consumption of the receiving end cannot be met. In this case, there is no area P.

[0053] It should be noted that only one area L, area S and area P are shown in the figure for illustration. In actual applications, there may be multiple discontinuous areas S, there may be area P, or there may be no area P.

[0054] Figure 4 This is a schematic diagram of a power transmission reference curve with a power shortage situation provided by an embodiment of the present disclosure. In Figure 4 there is area P. Exemplarily, for area L, the power generation below the power transmission reference curve, that is, in area L, means that the electricity consumption of the receiving end can be guaranteed; the clean energy multi-energy complementary system can sign a medium- and long-term transaction with the receiving end user; the area where the power output is greater than the power transmission capacity and less than the maximum power transmission capacity of the channel is area S, which means the electricity remaining after meeting the electricity consumption of the receiving end, and the clean energy multi-energy complementary system can conduct spot trading with the receiving end; for area P, which means that the electricity consumption of the receiving end cannot be met, the clean energy multi-energy complementary system can calculate the power shortage and purchase electricity.

[0055] The embodiments of the present disclosure provide a method for planning a clean energy power transmission system based on sandy, Gobi, and desert areas, and propose a planning and design method for large new energy bases that takes into account new energy consumption, comprehensive benefits, and power supply guarantee. The influence of the lack of conventional regulating power support at the sending end, the residual load of the receiving-end power grid, and the power supply guarantee requirements is considered overall. Based on the reference output of clean energy in the sending-end provinces of sandy, Gobi, and desert areas and the electricity consumption patterns at the receiving end, the reference parameters for power station construction and the final power transmission reference curve in the sending-end provinces of sandy, Gobi, and desert areas can be planned. For the external transmission of clean energy in sandy, Gobi, and desert areas, a reliable power trading strategy can be provided, providing a technical reference for the safe, stable, and reliable guarantee of future UHV DC transmission systems dominated by clean energy. Specifically, based on the power transmission reference curve, when the output of the wind farm generates redundancy during the low-load period, the pumped-storage power station can purchase electricity jointly from the wind power and the power grid during pumping, reducing the power purchase cost; during the high-load period, the output of the photovoltaic power station is high and the output of the wind power is low, and the pumped-storage power station can purchase electricity jointly from the photovoltaic power station and the power grid. When the pumped-storage power station is in the pumping state or the electrochemical energy storage power station is in the energy storage state, the frequency modulation revenue is relatively high during some overlapping periods, and the energy storage duration can be appropriately increased while reducing the capacity ratio participating in the energy market, so as to obtain higher ancillary service revenue. When the pumped-storage power station or the electrochemical energy storage power station is in the power generation state, during the period when the market electricity price is high, the power station unit allocation capacity is biased towards the energy market, so as to obtain higher electricity revenue.

[0056] Optionally, in the method for planning a clean energy power transmission system based on sandy, Gobi, and desert areas provided by the embodiments of the present disclosure, the power transmission objective function includes a first objective function and a second objective function; the first objective function is a net present value objective function of clean energy in the sending-end provinces of sandy, Gobi, and desert areas generated based on the selling electricity price, the grid-connected electricity quantity, and the total project cost of the target power stations in the sending-end provinces of sandy, Gobi, and desert areas; wherein, the total project cost includes: initial investment cost, project cycle replacement cost, operation and maintenance cost, and power purchase cost; the second objective function is to maximize the guarantee rate during the peak period at the receiving end; the clean energy power generation power stations include at least one of the following: wind farm power stations and photovoltaic power stations; the energy storage power stations include at least one of the following: pumped-storage power stations and electrochemical energy storage power stations.

[0057] The first objective function is the power transmission objective function of the outer layer model. It can be expressed by formula (1):

[0058] ; Formula (1)

[0059] Wherein, M represents the maximum net present value, represents the net present value, represents the selling electricity price, represents the grid-connected electricity quantity, and C represents the total project cost , the total project cost includes the initial investment cost of each project entity , project cycle replacement cost , operation and maintenance cost and power purchase cost .

[0060] Specifically, the maximum net present value can be determined as the objective function based on the various costs of the project, the electricity selling price, the grid-connected electricity quantity, etc.

[0061] It should be noted that the second objective function is the objective function of the inner layer model, that is, the first objective function is satisfied under the condition of satisfying the second objective function. The second objective function is used to optimize the power transmission curve of the clean energy multi-energy complementary system, and the second objective function can give full play to the supporting role of DC power and electricity, and maximize the guarantee rate of the peak period at the receiving end. Exemplarily, the second objective function can be shown by the following formula (2).

[0062] ; Formula (2)

[0063] Wherein, is the guarantee rate of the peak period, is the number of times that the peak power transmission capacity of the receiving end province is not satisfied during the period, and j represents the peak duration of the receiving end province.

[0064] For example, if the peak duration is 4 hours, then j = 4; if the peak duration is 3 hours, then j = 3. The above period is 8760 hours, and the sum of the number of times that the power generation does not meet the power transmission capacity from 18:00 to 22:00 every day for 365 days is counted.

[0065] Optionally, in the method for planning a clean energy power transmission system based on the desert, gobi and wasteland areas provided in the embodiments of the present disclosure, the power transmission constraint conditions include at least one of the following: system constraints of the clean energy multi-energy complementary system in the sending end province of the desert, gobi and wasteland areas, clean energy power source constraints, pumped storage power station constraints, electrochemical energy storage power station constraints, curtailment rate constraints, power transmission capacity constraints, channel utilization hour constraints and power shortage rate constraints.

[0066] Exemplarily, assuming that the clean energy multi-energy complementary system includes K wind farms, M photovoltaic power stations, N pumped storage power stations and L electrochemical energy storage power stations, the above power transmission constraint conditions may specifically include at least one of the following 1-1 to 1-8:

[0067] 1-1, system constraints

[0068] ; Formula (3)

[0069] Wherein, w represents wind power generation, pv represents photovoltaic power generation,sh Indicates that the pumped-storage power station is pumping water, sp Indicates that the pumped-storage power station is generating electricity, ec Indicates that the electrochemical energy storage power station is storing energy (charging), ed Indicates that the electrochemical energy storage power station is generating electricity (discharging), c Indicates that the system is short of power, dc Indicates that the system is supplying power, , is the wind farm at time period of the power generation output, is the photovoltaic power station at time period of the power generation output; Pumped-storage power station at time period of the power generation output, is the pumped-storage power station at time period of the pumping output; Indicates the electrochemical energy storage power station at time period of the energy storage power, Indicates the electrochemical energy storage power station at time period of the power generation power; is the power shortage of the clean energy multi-energy complementary system at time period, Indicates the clean energy multi-energy complementary system at time period of the power supply power.

[0070] 1-2. Clean energy power source constraints

[0071] ; Formula (4)

[0072] ; Formula (5)

[0073] is the wind farm k at time period of the upper limit of the power generation output; is the photovoltaic power station m at time period of the upper limit of the power generation output.

[0074] 1-3. Pumped-storage power station constraints

[0075] ; Formula (6)

[0076] Among them, s Indicates the output of the pumped-storage power station, Indicates the pumped-storage power station At the output power during the period, represents the upper limit of the output power of pumped-storage power station n.

[0077] ; Formula (7)

[0078] Among them, up represents the upper reservoir of the pumped-storage power station, down represents the lower reservoir of the pumped-storage power station, represents the pumped-storage power station At the storage capacity of the upper reservoir during the period, represents the pumped-storage power station At the storage capacity of the lower reservoir during the -1 period, represents the energy conversion efficiency coefficient of the pumped-storage power station.

[0079] ; Formula (8)

[0080] ; Formula (9)

[0081] Among them, represents the lower limit of the storage capacity of the upper reservoir of the pumped-storage power station, represents the upper limit of the storage capacity of the upper reservoir of the pumped-storage power station.

[0082] ; Formula (10)

[0083] Among them, represents the lower limit of the storage capacity of the lower reservoir of the pumped-storage power station, represents the pumped-storage power station At the storage capacity of the lower reservoir during the period, represents the upper limit of the storage capacity of the lower reservoir of the pumped-storage power station. [[ID=)64]]

[0084] 1-4. Electrochemical energy storage constraint

[0085] ; Formula (11)

[0086] Among them, represents the electricity quantity of the electrochemical energy storage power station At the period, lc represents the electrochemical energy storage of the electrochemical energy storage power station l energy storage, electrochemical energy storage power station the energy storage efficiency of, ld represents the electrochemical energy storage power stationl Power generation for an electrochemical energy storage power station Power generation efficiency indicating the electrochemical energy storage power station at the power generation power during the period.

[0087] ; Formula (12)

[0088] wherein indicating the electrochemical energy storage power station at energy storage during the period indicating the electrochemical energy storage power station at power generation during the period.

[0089] ; Formula (13)

[0090] ; Formula (14)

[0091] wherein the maximum energy storage power of the electrochemical energy storage power station at the period is the maximum power generation power of the electrochemical energy storage power station .

[0092] 1 - 5. Curtailment rate constraint

[0093] ; Formula (15)

[0094] wherein is the total power generation of K wind farms and M photovoltaic power stations during the period is the total curtailment power of K wind farms and M photovoltaic power stations is the allowable curtailment rate of the clean energy multi - energy complementary system.

[0095] 1 - 6. Transmission capacity constraint

[0096] ; Formula (16)

[0097] d wherein represents the DC channel represents the transmission capacity of the DC channel during the period represents the upper limit value of the transmission capacity of the DC channel during the period

[0098] ​​​It can be understood that the upper limit value of the power transmission capacity is the maximum power transmission capacity of the aforementioned channel, and generally can be taken as 8 million kW or 10 million kW.

[0099] 1-7. Constraint on channel utilization hours

[0100] ; Equation (17)

[0101] Among them, represents the minimum utilization hours of the DC channel.

[0102] 1-8. Constraint on power shortage rate

[0103] ; Equation (18)

[0104] Among them, represents the maximum allowable power shortage rate.

[0105] Based on this solution, the power source parameters and the final power transmission reference curve that meet the inner objective function, the outer objective function, and all the constraint conditions of the system can be selected through simulation. This can not only provide accurate power source parameters for reference in the construction of the clean energy multi-energy complementary system, but also provide an efficient, economical, and power supply strategy that meets the needs of the power receiving end based on the power transmission reference curve.

[0106] Optionally, in the method for planning a clean energy power transmission system based on the sandy and desertified areas provided in the embodiments of the present disclosure, S201 described above may specifically include S201a1 to S201a5 below:

[0107] S201a1. Obtain the data series of the benchmark output of clean energy in the sending-end province of the sandy and desertified areas for at least one whole year.

[0108] Among them, the data series of the benchmark output is data with a preset time scale.

[0109] Optionally, the preset time length can be selected according to the accuracy requirement, and the specific value of the preset time length in the embodiments of the present disclosure is not specifically limited.

[0110] Exemplarily, the preset time length can be 1 hour, 30 minutes, or 15 minutes.

[0111] S201a2. Determine the output of the clean energy with the highest probability in at least one whole year as the typical benchmark output of the clean energy.

[0112] S201a3. Based on the typical benchmark output of the clean energy, calculate the cumulative power output of the clean energy within each month on a monthly scale, and perform frequency ranking on the cumulative power output.

[0113] S201a4. Take the output on a day when the cumulative power generation frequency of each month meets a preset probability as the representative output of each month, and obtain 12 representative outputs.

[0114] For example, obtain the reference output series data of at least one 8760-hour process (i.e., 365 * 24 hours in a year) of clean energy in the sending-end province of the desert, gobi, and wasteland areas. Determine the output of the 8760-hour process with the highest probability among at least one 8760-hour process of clean energy as the typical reference output of clean energy. Based on the typical reference output of clean energy, calculate the cumulative power generation of clean energy within a month on a monthly scale and perform cumulative power generation frequency ranking. Take the 24-hour process (i.e., the hours in a day) of the clean energy reference output whose cumulative power generation frequency of each month meets the preset probability as the representative output of each month, and obtain 12 representative 24-hour processes of the typical reference output of clean energy.

[0115] It should be noted that the selection of the preset probability can be set according to actual needs, as long as it can cover most adverse situations. For example, 85%, 90%, 95%. The specific value of the preset probability in the embodiments of the present disclosure is not specifically limited.

[0116] For example, select the 24-hour process with a cumulative power generation frequency of about 90% in January (31 days) as the representative output of this month. Table 1 is a table for determining the representative output of a month provided by the embodiments of the present disclosure. First, determine the cumulative power generation of the 24 hours of the day on a daily basis. Among them, the output situation of the 24 hours of each day is not shown in Table 1; then, sort the cumulative power generations of the 31 days in descending order; after that, calculate the probability based on the sorting serial number / the total number of days in this month, and finally determine that the probability close to 90% corresponds to the 28th ranking, and the 28th ranking corresponds to the output of the 24-hour process on January 10th. Select the output of the 24-hour process on January 10th as the representative output of this month.

[0117] Table 1

[0118]

[0119] S201a5. Determine the 12 representative outputs as the clean energy reference outputs.

[0120] For example, obtain the 8760-hour reference output series data of wind power and photovoltaic power, generate the cumulative power generation frequency of wind and photovoltaic power for each month, and screen the 24-hour process corresponding to the cumulative power generation frequency close to 90%. Use the fast forward elimination method based on probability distance to obtain the wind and photovoltaic power with the highest probability as the typical representative (i.e., the clean energy reference output).

[0121] Based on this solution, based on the benchmark output series data of the sending-end province in the desert, Gobi, and barren areas, the typical output of clean energy that can represent the sending-end province in the desert, Gobi, and barren areas can be quickly selected, so as to accurately determine the scale of the target power station to be built and the power transmission trading strategy based on the typical output of this clean energy.

[0122] Optionally, in the method for planning a clean energy power transmission system based on the desert, Gobi, and barren areas provided in the embodiments of the present disclosure, the above S201 may specifically include the following S201b1 and S201b2:

[0123] S201b1. Obtain the original load curve and the residual load curve of the receiving end.

[0124] Among them, the original load curve refers to the curve of the electricity consumption demand of users in the power system changing with time, reflecting the fluctuation of the electricity demand; the residual load curve refers to the load curve after deducting clean energy power generation (such as wind energy, solar energy) and thermal power base load from the total electricity demand.

[0125] S201b2. Determine the duration intervals of the midday peak, evening peak, and other periods at the receiving end according to the original load curve and the residual load curve.

[0126] Based on this solution, the electricity consumption pattern of the receiving end can be determined through the historical electricity consumption curve of the receiving end, so that the scale of the target power station to be built and the power transmission trading strategy generated subsequently can better match the electricity consumption situation of the receiving end, reduce the probability of being unable to meet power transmission, and maximize the benefits of power transmission in the clean energy multi-energy complementary system.

[0127] Optionally, in the method for planning a clean energy power transmission system based on the desert, Gobi, and barren areas provided in the embodiments of the present disclosure, the above S203 may specifically include the following S203a1 to S203a5:

[0128] S203a1. Generate an initial power transmission reference curve according to the clean energy reference output, the electricity consumption pattern of the receiving end, and the power station parameters.

[0129] S203a2. Based on the initial power transmission reference curve, determine whether the power transmission situation of the clean energy multi-energy complementary system under the initialized power station parameters meets the preset power transmission rules.

[0130] Among them, the clean energy multi-energy complementary system includes the target power station; the preset power transmission rule is that the second percentage of energy storage in the energy storage power station during the midday peak is used for power generation by the energy storage power station during the evening peak and the power transmission capacity during the midday peak is greater than the power transmission capacity during the evening peak.

[0131] Exemplarily, the power station parameters may include the scale of the wind power station, the scale of the photovoltaic power station, the scale of the pumped-storage power station, the scale of the electrochemical energy storage power station, the energy storage duration and power generation duration of the pumped-storage power station, and the energy storage duration and power generation duration of the electrochemical energy storage power station.

[0132] S203a3. If the preset power transmission rule is not satisfied, adjust the power transmission capacity of the initial current power transmission reference curve based on the power consumption law of the receiving end to obtain an adjusted power transmission reference curve, and re-determine whether the power transmission situation of the clean energy multi-energy complementary system satisfies the preset power transmission rule based on the adjusted power transmission reference curve.

[0133] S203a4. If the preset power transmission rule is not satisfied, continue to adjust the above adjusted power transmission reference curve based on the power consumption law of the receiving end until the preset power transmission rule is satisfied.

[0134] S203a5. If the preset power transmission rule is satisfied, determine the adjusted power transmission reference curve as the target power transmission reference curve.

[0135] Based on this solution, a power transmission reference curve that meets the power consumption situation of the receiving end can be generated, so as to continue to determine whether the power supply parameters meet the power transmission objective function and power transmission constraint conditions based on this curve, thereby providing a basis for accurately determining the power supply parameters.

[0136] Optionally, in the method for planning a clean energy power transmission system based on desert, Gobi, and wasteland areas provided in the embodiments of the present disclosure, the above S203a3 may be specifically executed by the following S203b1 and S203b2:

[0137] S203b1. If the second percentage of the energy storage power station storing energy during the noon peak does not meet the power generation of the energy storage power station during the evening peak, reduce the power transmission capacity during the noon peak.

[0138] In the embodiments of the present disclosure, the power transmission capacity can be reduced in preset power transmission capacity steps. For example, the power transmission capacity step is 100 kW, 50 kW, etc. The specific step value can be set according to actual needs, and the embodiments of the present disclosure do not make specific limitations on this.

[0139] S203b2. If the preset power transmission rule is not satisfied after reducing the power transmission capacity during the noon peak, continue to reduce the power transmission capacity during the evening peak or the power transmission capacity during other periods.

[0140] Exemplarily, taking the second percentage as 75% as an example, if 75% of the energy storage capacity during the noon peak does not meet the power generation demand during the evening peak, the power transmission capacity during the noon peak is reduced in steps of 100 kW. Re-judge whether 75% of the energy storage capacity during the noon peak meets the power generation demand during the evening peak. If 75% of the energy storage capacity during the noon peak still does not meet the power generation demand during the evening peak after reducing the power transmission capacity during the noon peak, continue to reduce the power transmission capacity during the evening peak or other time periods in steps of 100 kW, and re-judge whether 75% of the energy storage capacity during the noon peak meets the power generation demand during the evening peak until 75% of the energy storage capacity during the noon peak meets the power generation demand during the evening peak, and the power transmission capacity during the noon peak is greater than the power transmission capacity during the evening peak.

[0141] Based on this scheme, it can be determined whether the selected power station parameters and the power transmission capacities in each time period meet the preset power transmission rules. If not, the power transmission capacities in each time period can be adjusted until the preset power transmission rules are met, so that a target power transmission reference curve that meets the power transmission demand and power generation demand can be obtained. Thus, based on the target power transmission reference curve, a power production time sequence model can be further generated for simulation.

[0142] Optionally, in the method for planning a clean energy power transmission system based on the desert, gobi, and wasteland areas provided in the embodiments of the present disclosure, the above S205 can be executed through the following S205a and S205b:

[0143] S205a. Perform simulation based on the first power production time sequence model. If the power transmission objective function and power transmission constraint conditions are not met, adjust the first power station parameters to the second power station parameters.

[0144] Among them, if the power station parameters are the first power station parameters, the target power transmission reference curve generated based on the first power station parameters is denoted as the first power transmission reference curve, and the power production time sequence model generated based on the first power transmission reference curve is denoted as the first power production time sequence model.

[0145] It can be understood that after adjusting the power station parameters to the second power station parameters, a second power transmission reference curve is generated based on the adjusted second power station parameters, and then a second power production time sequence model is generated based on the second power transmission reference curve.

[0146] S205b. Perform simulation based on the second power production time sequence model generated based on the second power station parameters, and determine whether the power transmission objective function and power transmission constraint conditions are met. If the objective function and power transmission constraint conditions are met, the second power station parameters are used as the reference parameters for power station construction, and the second power transmission reference curve generated based on the second power station parameters is determined as the final power transmission reference curve.

[0147] Among them, the target power transmission reference curve corresponding to the first power station parameters is the first power transmission reference curve, and the target power transmission reference curve corresponding to the second power station parameters is the second power transmission reference curve.

[0148] Based on this solution, after the simulation of the power production time series model, if the power transmission objective function and power transmission constraint conditions are not met, the power transmission parameters can be adjusted, and the power production time series model can be regenerated to perform the simulation again, so as to obtain the final power transmission reference curve and power station parameters that meet the power transmission objective function and power transmission constraint conditions.

[0149] Figure 5 It is a schematic flow diagram of a method for planning a clean energy power transmission system based on the sandy, Gobi and desert areas provided by an embodiment of the present disclosure. As Figure 5 shown in the figure, first initialize the power station parameters and the power transmission reference curve. Based on the power transmission reference curve, judge whether 75% of the mid-peak energy storage meets the late-peak power generation, and the mid-peak power transmission capacity is greater than the late-peak power transmission capacity. First, reduce the mid-peak power transmission capacity, and then repeatedly reduce the late-peak power transmission capacity and the power transmission capacities in other periods; each time the power transmission capacity is reduced, judge whether 75% of the mid-peak energy storage meets the late-peak power generation, and the mid-peak power transmission capacity is greater than the late-peak power transmission capacity; each time the mid-peak power transmission capacity is reduced, judge whether the number of mid-peak reduction times is greater than the first preset number, where the first preset number is the upper limit of the number of times to reduce the mid-peak in the outer layer; in the inner layer, repeatedly reduce the late-peak power transmission capacity and the power transmission capacities in other periods, and still do not meet the condition that 75% of the mid-peak energy storage meets the late-peak power generation and the mid-peak power transmission capacity is greater than the late-peak power transmission capacity, judge whether the number of inner layer loop times is greater than the second preset number, and the second preset number is the number of times to reduce the late-peak power transmission capacity and the power transmission capacities in other periods in one round in the inner layer; if the number of inner layer loop times is greater than the second preset number, enter the outer layer loop to reduce the mid-peak power transmission capacity again until 75% of the mid-peak energy storage meets the late-peak power generation and the mid-peak power transmission capacity is greater than the late-peak power transmission capacity to obtain the target power transmission reference curve, and then construct a power production time series model based on the target power transmission reference curve to perform the simulation. If the power transmission function and power transmission constraint conditions are met, output the final power transmission reference curve and the power station parameters corresponding to the final power transmission reference curve. If the power transmission function and power transmission constraint conditions are not met, readjust the power station parameters and initialize the power transmission reference curve to make the judgment again.

[0150] Corresponding to the embodiments of the foregoing method, the present disclosure also provides embodiments of a device and a computer device to which the device is applied.

[0151] Embodiments of the disclosed device can be applied to computer devices, such as servers or terminal devices. The device embodiments can be implemented by software, or by hardware, or by a combination of software and hardware. Taking software implementation as an example, it is determined as a logically meaningful device by the processor of the device based on the clean energy power transmission system plan in the sandy, desert and barren areas reading the corresponding computer program instructions in the non-volatile memory into the memory for operation. At the hardware level, as Figure 6 shown, it is a hardware structure diagram of the computer device where the device of the disclosed embodiment is located. In addition to Figure 6 the processor 610, memory 630, network interface 620, and non-volatile memory 640 shown, for the server or electronic device where the device 631 based on the clean energy power transmission system plan in the sandy, desert and barren areas is located in the embodiment, usually according to the actual functions of the computer device, other hardware may also be included, which will not be elaborated here.

[0152] As Figure 7 shown, Figure 7 it is a schematic structural diagram of a device based on the clean energy power transmission system plan in the sandy, desert and barren areas provided by the disclosed embodiment. The device 700 based on the clean energy power transmission system plan in the sandy, desert and barren areas includes: a determination module 701, an initialization module 702, a generation module 703, a construction module 704, and a simulation module 705; the determination module is used to determine the clean energy reference output of the sending-end province in the sandy, desert and barren areas and the receiving-end power consumption law; the initialization module is used to initialize the power station parameters of the target power stations in the sending-end province in the sandy, desert and barren areas, and the target power stations include clean energy power generation power stations and energy storage power stations in the sandy, desert and barren areas; the generation module is used to generate a target power transmission reference curve according to the clean energy reference output, the receiving-end power consumption law, the power station parameters, and the preset power transmission rules; the construction module is used to construct a power production time series model based on the power station parameters corresponding to the target power transmission reference curve and the preset power transmission rules; the simulation module is used to perform simulation based on the power production time series model, adjust the power station parameters, obtain the final power transmission reference curve that meets the power transmission objective function and power transmission constraint conditions, and use the adjusted power station parameters as the power station construction reference parameters.

[0153] Optionally, the determination module is specifically configured to: obtain at least one annual benchmark output series data of clean energy in the sending-end province of the sandy, gobi, and desert areas, where the benchmark output series data is data at a preset time scale; determine the output of the clean energy in the year with the highest probability among at least one year of clean energy as the typical benchmark output of clean energy; based on the typical benchmark output of clean energy, calculate the cumulative power generation of clean energy within each month on a monthly scale and perform frequency ranking on the cumulative power generation; use the output on the day when the cumulative power generation frequency ranking of each month meets the preset probability as the representative output of each month, and obtain 12 representative outputs; and determine the 12 representative outputs as the reference output of clean energy.

[0154] Optionally, the determination module is specifically configured to: obtain the original load curve and the residual load curve of the receiving end; and determine the duration intervals of the noon peak, evening peak, and other periods of the receiving end according to the original load curve and the residual load curve.

[0155] Optionally, the generation module is specifically configured to: generate an initial power transmission reference curve according to the reference output of clean energy; based on the initial power transmission reference curve, the electricity consumption pattern of the receiving end, and the power station parameters, determine whether the power transmission situation of the clean energy multi-energy complementary system under the initialized power station parameters meets the preset power transmission rules, where the clean energy multi-energy complementary system includes the target power station; if the preset power transmission rules are not met, adjust the power transmission capacity of the initial power transmission reference curve based on the electricity consumption pattern of the receiving end to obtain an adjusted power transmission reference curve, and re-determine whether the power transmission situation of the clean energy multi-energy complementary system meets the preset power transmission rules; if the preset power transmission rules are not met, continue to adjust the adjusted power transmission reference curve based on the electricity consumption pattern of the receiving end until the preset power transmission rules are met; if the preset power transmission rules are met, determine the adjusted power transmission reference curve as the target power transmission reference curve; where the preset power transmission rules are: the second percentage of energy storage in the energy storage power station during the noon peak is used for power generation by the energy storage power station during the evening peak and the power transmission capacity during the noon peak is greater than the power transmission capacity during the evening peak.

[0156] Optionally, the generation module is specifically configured to: if the second percentage of energy storage in the energy storage power station during the noon peak does not meet the power generation of the energy storage power station during the evening peak, reduce the power transmission capacity during the noon peak; if the preset power transmission rules are not met after reducing the power transmission capacity during the noon peak, reduce the power transmission capacity during the noon peak; if the preset power transmission rules are not met after reducing the power transmission capacity during the noon peak, continue to reduce the power transmission capacity during the evening peak or other periods.

[0157] Optionally, the power transmission objective function includes a first objective function and a second objective function; the first objective function is to maximize the net present value of clean energy in the sending-end province of the desert, Gobi, and arid areas, where the net present value is determined based on the electricity selling price, the grid-connected electricity quantity, and the total project cost of the target power station in the sending-end province of the desert, Gobi, and arid areas; the second objective function is to maximize the receiving-end peak-hour guarantee rate; among them, the total project cost includes: initial investment cost, project cycle replacement cost, operation and maintenance cost, and power purchase cost; the clean energy power generation power station includes at least one of the following: wind farm power station, photovoltaic power station; the energy storage power station includes at least one of the following: pumped storage power station, electrochemical energy storage power station; the constraint conditions include at least one of the following: system constraints of the clean energy multi-energy complementary system in the sending-end province of the desert, Gobi, and arid areas, clean energy power source constraints, pumped storage power station constraints, electrochemical energy storage power station constraints, curtailment rate constraints, power transmission capacity constraints, channel utilization hour constraints, and power shortage rate constraints.

[0158] Optionally, the simulation module is specifically configured to: perform simulation based on the first power production time series model, and if the power transmission objective function and the power transmission constraint conditions are not satisfied, adjust the first power station parameters to the second power station parameters; perform simulation based on the second power production time series model generated based on the second power station parameters, and determine whether the power transmission objective function and the power transmission constraint conditions are satisfied. If the objective function and the power transmission constraint conditions are satisfied, use the second power station parameters as the power station construction reference parameters, and determine the second power transmission reference curve generated based on the second power station parameters as the final power transmission reference curve; among them, the target power transmission reference curve corresponding to the first power station parameters is the first power transmission reference curve, and the target power transmission reference curve corresponding to the second power station parameters is the second power transmission reference curve.

[0159] The device for planning a clean energy power transmission system based on desert, Gobi, and arid areas provided by the embodiments of the present disclosure provides a planning and design for large new energy bases that takes into account new energy consumption, comprehensive benefits, and power supply guarantee. It comprehensively considers the influence of the lack of conventional regulating power sources at the sending end, the residual load of the receiving-end power grid, and the power supply guarantee requirements. Based on the reference output of clean energy in the sending-end provinces of desert, Gobi, and arid areas and the electricity consumption patterns at the receiving end, it can plan the reference parameters for power station construction and the final power transmission reference curve in the sending-end provinces of desert, Gobi, and arid areas. Facing the future economic system of green, low-carbon, and circular development and the clean, low-carbon, safe, and efficient energy system, for the external transmission of clean energy in desert, Gobi, and arid areas, it can improve reliable power trading strategies and provide technical references for the safe, stable, and reliable guarantee of future UHV DC transmission systems mainly based on clean energy. Specifically, when the power transmission reference curve is in the low-load period, there is redundancy in the output of the wind farm. The pumped-storage power station can purchase electricity jointly from the wind power and the power grid during pumping, reducing the electricity purchase cost. During the high-load period, the output of the photovoltaic power station is relatively high, and the output of the wind farm is relatively low. The pumped-storage power station can purchase electricity jointly from the photovoltaic power station and the power grid. When the pumped-storage power station is in the pumping state or the electrochemical energy storage power station is in the energy storage state, the frequency modulation revenue is relatively high during some overlapping periods. The energy storage duration can be appropriately increased, and the capacity ratio participating in the energy market can be reduced, so as to obtain higher ancillary service revenue. When the pumped-storage power station or the electrochemical energy storage power station is in the power generation state, during the period when the market electricity price is relatively high, the unit allocation capacity of the power station tends to the energy market, so as to obtain higher electricity revenue.

[0160] Correspondingly, the present disclosure also provides a device for planning a clean energy power transmission system based on desert, Gobi, and arid areas. The device for planning a clean energy power transmission system based on desert, Gobi, and arid areas includes a processor; a memory for storing instructions executable by the processor; wherein, the processor is configured to: determine the reference output of clean energy in the sending-end provinces of desert, Gobi, and arid areas and the electricity consumption patterns at the receiving end; initialize the power station parameters of the target power stations in the sending-end provinces of desert, Gobi, and arid areas; generate a target power transmission reference curve according to the reference output of clean energy, the electricity consumption patterns at the receiving end, the power station parameters, and the preset power transmission rules; construct a power production time series model based on the power station parameters corresponding to the target power transmission reference curve and the preset power transmission rules; perform simulation based on the power production time series model, adjust the power station parameters, obtain the final power transmission reference curve that meets the power transmission objective function and power transmission constraint conditions, and use the adjusted power station parameters as the reference parameters for power station construction.

[0161] The present disclosure also provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, it implements each step in the above method embodiments.

[0162] The present disclosure also provides a computer device, which includes a memory, a processor, and computer-readable instructions stored on the memory and executable on the processor. When the computer-readable instructions are executed by the processor, the steps in the above method embodiments are implemented.

[0163] For the implementation processes of the functions and roles of each module in the above device, please refer to the implementation processes of the corresponding steps in the above method for details, which will not be elaborated here.

[0164] For the device embodiments, since they basically correspond to the method embodiments, the relevant parts can be referred to the partial descriptions of the method embodiments. The device embodiments described above are only illustrative. The modules determined to be separate components may or may not be physically separated, and the components determined to be modules may or may not be physical modules, that is, they may be located in one place or distributed to multiple network modules. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of the present disclosure. Those of ordinary skill in the art can understand and implement it without creative efforts.

[0165] The above describes specific embodiments of the present disclosure. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims can be performed in a different order than in the embodiments and still achieve the desired results. Additionally, the processes depicted in the figures do not necessarily require the particular order or sequential order shown to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0166] Those skilled in the art will readily conceive of other embodiments of the present disclosure after considering the specification and practicing the invention herein. The present disclosure is intended to cover any variations, uses, or adaptations of the present disclosure, which follow the general principles of the present disclosure and include common general knowledge or conventional technical means in the technical field not claimed in the present disclosure. The specification and embodiments are only regarded as exemplary, and the true scope and spirit of the present disclosure are pointed out by the following claims.

[0167] It should be understood that the present disclosure is not limited to the exact structures described above and shown in the drawings, and various modifications and changes can be made without departing from its scope. The scope of the present disclosure is only limited by the appended claims.

[0168] The above are only the preferred embodiments of the present disclosure and are not used to limit the present disclosure. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present disclosure shall be included within the scope of protection of the present disclosure.

Claims

1. A method for planning a clean energy power transmission system based on desert, Gobi and wasteland areas, characterized in that, The method includes: Determining the clean energy reference output of the sending-end province in the desert, Gobi, and arid areas and the electricity consumption pattern of the receiving end; Initializing the power station parameters of the target power station in the sending-end province of the desert, Gobi, and arid areas, where the target power station consists of clean energy power generation power stations and energy storage power stations in the desert, Gobi, and arid areas; Generating an initial power transmission reference curve based on the clean energy reference output, the electricity consumption pattern of the receiving end, and the power station parameters; determining whether the power transmission situation of the clean energy multi-energy complementary system under the initialized power station parameters meets the preset power transmission rules based on the initial power transmission reference curve, where the clean energy multi-energy complementary system consists of the target power station; the preset power transmission rules are: the second percentage of the energy storage capacity of the energy storage power station at noon peak is used for power generation by the energy storage power station at evening peak and the power transmission capacity at noon peak is greater than the power transmission capacity at evening peak; if the preset power transmission rules are not met, adjusting the power transmission capacity of the initial power transmission reference curve based on the electricity consumption pattern of the receiving end to obtain an adjusted power transmission reference curve, and re-determining whether the power transmission situation of the clean energy multi-energy complementary system meets the preset power transmission rules based on the adjusted power transmission reference curve; if the preset power transmission rules are not met, continue to adjust the adjusted power transmission reference curve based on the electricity consumption pattern of the receiving end until the preset power transmission rules are met; if the preset power transmission rules are met, determining the adjusted power transmission reference curve as the target power transmission reference curve; Constructing a power production time series model based on the power station parameters corresponding to the target power transmission reference curve and the preset power transmission rules; Performing simulation based on the first power production time series model. If the power transmission objective function and power transmission constraint conditions are not met, adjusting the first power station parameters to the second power station parameters; performing simulation based on the second power production time series model generated based on the second power station parameters, and determining whether the power transmission objective function and the power transmission constraint conditions are met. If the objective function and the power transmission constraint conditions are met, taking the second power station parameters as the power station construction reference parameters and determining the power transmission reference curve generated based on the second power station parameters as the final power transmission reference curve.

2. The method according to claim 1, wherein The determination of the clean energy reference output of the sending-end province in the desert, Gobi, and arid areas includes: Obtaining at least one annual series of benchmark output data of the clean energy in the sending-end province of the desert, Gobi, and arid areas, where the benchmark output series data is data at a preset time scale; Determining the output of the clean energy in the year with the highest probability among at least one year as the clean energy typical benchmark output; Based on the clean energy typical benchmark output, calculating the cumulative electricity output of the clean energy within each month on a monthly scale and performing frequency ranking on the cumulative electricity output; Taking the output of the day when the cumulative electricity output frequency of each month meets the preset probability as the representative output of each month, obtaining 12 representative outputs; Determining the 12 representative outputs as the clean energy reference output.

3. The method according to claim 1 or 2, characterized in that, Determining the electricity consumption pattern of the receiving end includes: Obtaining the original load curve and the residual load curve of the receiving end; Determine the duration intervals of the noon peak, evening peak, and other periods at the receiving end according to the original load curve and the residual load curve.

4. The method according to claim 3, wherein Adjusting the power transmission capacity of the initial power transmission reference curve based on the electricity consumption law at the receiving end to obtain an adjusted power transmission reference curve includes: If the second percentage of the energy storage capacity of the energy storage power station during the noon peak does not meet the power generation of the energy storage power station during the evening peak, reduce the power transmission capacity during the noon peak; If the preset power transmission rule is not met after reducing the power transmission capacity during the noon peak, continue to reduce the power transmission capacity during the evening peak or other periods.

5. The method according to claim 1, characterized in that The power transmission objective function includes a first objective function and a second objective function; the first objective function is to maximize the net present value of the clean energy in the sending-end province of the Shagehuang area, where the net present value is determined based on the electricity selling price, the grid-connected electricity volume, and the total project cost of the target power station in the sending-end province of the Shagehuang area; the second objective function is to maximize the guarantee rate during the peak period at the receiving end; Among them, the total project cost includes: initial investment cost, project cycle replacement cost, operation and maintenance cost, and electricity purchase cost; the clean energy power generation power station includes at least one of the following: wind farm power station, photovoltaic power station; the energy storage power station includes at least one of the following: pumped storage power station, electrochemical energy storage power station; The constraint conditions include at least one of the following: system constraints of the clean energy multi-energy complementary system in the sending-end province of the Shagehuang area, clean energy power source constraints, pumped storage power station constraints, electrochemical energy storage power station constraints, curtailment rate constraints, power transmission capacity constraints, channel utilization hour constraints, and power shortage rate constraints.

6. An apparatus for planning a clean energy power transmission system based on sandy, Gobi and desert areas, characterized in that, The device for planning the clean energy power transmission system in the Shagehuang area includes: a determination module, an initialization module, a generation module, a construction module, and a simulation module; The determination module is used to determine the clean energy reference output in the sending-end province of the Shagehuang area and the electricity consumption law at the receiving end; The initialization module is used to initialize the power station parameters of the target power station in the sending-end province of the Shagehuang area, and the target power station is composed of a clean energy power generation power station and an energy storage power station in the Shagehuang area; The generating module is configured to generate an initial power transmission reference curve according to the clean energy reference output, the receiving-end power consumption pattern, and the power station parameters; based on the initial power transmission reference curve, determine whether the power transmission situation of the clean energy multi-energy complementary system under the initialized power station parameters meets the preset power transmission rules, where the clean energy multi-energy complementary system is composed of the target power stations; the preset power transmission rules are: the second percentage of the energy storage capacity of the energy storage power station during the midday peak is used for power generation by the energy storage power station during the evening peak and the power transmission capacity during the midday peak is greater than the power transmission capacity during the evening peak; if the preset power transmission rules are not met, adjust the power transmission capacity of the initial power transmission reference curve based on the receiving-end power consumption pattern to obtain an adjusted power transmission reference curve, and re-determine whether the power transmission situation of the clean energy multi-energy complementary system meets the preset power transmission rules based on the adjusted power transmission reference curve; if the preset power transmission rules are not met, continue to adjust the adjusted power transmission reference curve based on the receiving-end power consumption pattern until the preset power transmission rules are met; if the preset power transmission rules are met, determine the adjusted power transmission reference curve as the target power transmission reference curve. The constructing module is configured to construct a power production time series model based on the power station parameters corresponding to the target power transmission reference curve and the preset power transmission rules. The simulation module is configured to perform simulation based on the first power production time series model. If the power transmission objective function and the power transmission constraint conditions are not met, adjust the first power station parameters to the second power station parameters; perform simulation based on the second power production time series model generated based on the second power station parameters, and determine whether the power transmission objective function and the power transmission constraint conditions are met. If the objective function and the power transmission constraint conditions are met, use the second power station parameters as the power station construction reference parameters, and determine the power transmission reference curve generated based on the second power station parameters as the final power transmission reference curve.

7. A computer device, characterized in that, It includes a memory, a processor, and a computer program stored on the memory and executable on the processor. Wherein, when the processor executes the program, it implements the steps of the method for planning a clean energy power transmission system based on the sandy, rocky and desertified areas as described in any one of claims 1 to 5.

8. A readable storage medium, characterized in that, A program or instruction is stored on the readable storage medium, and when the program or instruction is executed by the processor, it implements the steps of the method for planning a clean energy power transmission system based on the sandy, rocky and desertified areas as described in any one of claims 1 to 5.

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