Day-ahead Optimal Scheduling Method for Highway Energy Security Network

Abstract

The present invention provides a day-ahead optimal scheduling method for a highway energy security network. The highway energy security network includes a plurality of regional distribution networks and a flexible distribution network at a higher level than the plurality of regional distribution networks. The day-ahead optimal scheduling method includes the following steps: predicting the new energy output and load of each regional distribution network on the scheduling day based on the day-ahead weather forecast information; formulating a day-ahead scheduling plan for each regional distribution network based on the prediction results of the new energy output and load on the scheduling day. The present invention can improve the power supply reliability of the highway energy security network.

Description

Technical Field

[0001] The present invention relates to the technical field of highway energy security, and particularly relates to a day-ahead optimal scheduling method for a highway energy security network. Background Art

[0002] In recent years, to meet the development and service requirements of highway networks, the highway field has begun to promote the integration of energy, information, and transportation networks. A large number of facilities for sensing, collecting, communicating, analyzing, processing, and publishing the operating status of highway networks have been added along highways, further demanding high reliability and ultra-stability of the energy for the entire highway area, requiring stable energy supply throughout the entire area and 24 hours a day. The current empowerment of highways is not designed and constructed according to scenarios and requirements, but is a simple superposition based on the original technical system. The original key technologies and physical conditions can no longer meet the needs of intelligence and wisdom, and even become a constraint on wisdom.

[0003] The areas along the highway network are long, narrow, and remote, mostly in the urban-rural fringe or rural areas with low power supply reliability. At present, the method of obtaining electricity nearby is difficult to meet the requirements of the energy supply security and reliability for the intelligent transportation information facilities on intelligent highways. Microgrid technology, characterized by the efficient local utilization of distributed renewable energy, is an effective solution for constructing a highway energy network. However, at present, the microgrids on highways do not have advanced and perfect key technologies, and have high investment costs and poor economy, which become obstacles to the construction and development of green and low-carbon energy microgrids.

[0004] To meet the electricity and communication needs of intelligent transportation, autonomous driving, 5G communication, and other roadside intelligent devices, it is necessary to build a green transportation energy network to provide green energy security for intelligent highways. Carrying out distributed photovoltaic and energy storage construction and serving the intelligent devices of the highway network locally can reduce the long-distance transmission of electric energy, reduce power losses, and at the same time slow down the expansion of power distribution facilities and improve the power supply reliability of the intelligent transportation network.

[0005] Therefore, how to improve the power supply reliability of the highway energy security network has become a technical problem that needs to be solved urgently at present. Summary of the Invention

[0006] To solve the above technical problems, the present invention provides a day-ahead optimal scheduling method for a highway energy security network, which can improve the power supply reliability of the highway energy security network.

[0007] The technical solution adopted by the present invention is as follows:

[0008] A method for optimizing the day-ahead scheduling of a highway energy security network, the highway energy security network comprising a plurality of regional distribution networks and a flexible distribution network located at an upper level of the plurality of regional distribution networks, the method for optimizing the day-ahead scheduling comprising the following steps: based on the weather forecast information of the day-ahead, predicting the new energy output and load of each of the regional distribution networks on the scheduling day; formulating a day-ahead scheduling plan for each of the regional distribution networks based on the new energy output and load prediction results on the scheduling day.

[0009] The day-ahead optimization scheduling method for the highway energy security network also includes: formulating the day-ahead scheduling plan for the flexible distribution network based on the day-ahead scheduling plan for each of the regional distribution networks and the load forecast data outside each of the regional distribution networks.

[0010] The regional distribution network includes photovoltaic equipment, wind power equipment, controllable distributed power sources, energy storage equipment, shiftable loads, interruptible loads and non-adjustable loads.

[0011] The day-ahead dispatching plan of the regional distribution network is divided into a plurality of time periods. In time period t, when the output of new energy is greater than the load demand, the day-ahead dispatching plan of the regional distribution network is formulated including: calculating the initial excess output of new energy in time period t, wherein the output of new energy includes the output of the photovoltaic device and the output of the wind power device; judging whether the power of the energy storage device is less than the maximum value; if the power of the energy storage device is less than the maximum value, charging the energy storage device with the excess new energy output, and judging whether the initial excess output of new energy is greater than the charging power of the energy storage device; if the initial excess output of new energy is greater than the charging power of the energy storage device, calculating the power consumption of the energy storage device after consumption. The excess output of new energy after the consumption of the energy storage device is determined, and whether the excess output of new energy after the consumption of the energy storage device meets the power demand of the operation of the movable load, and whether the duration meets the minimum operation time of the movable load; if the excess output of new energy after the consumption of the energy storage device meets the power demand of the operation of the movable load, and the duration meets the minimum operation time of the movable load, the movable load is called, and it is calculated whether the excess output of new energy after the consumption of the movable load is greater than zero; if the excess output of new energy after the consumption of the movable load is greater than zero, the excess output of new energy after the consumption of the movable load is reported to the energy management center of the flexible distribution network.

[0012] After receiving the excess output of new energy after the consumption of the shiftable load, the energy management center of the flexible distribution network determines whether the absorption space of the flexible distribution network is greater than or equal to the excess output of new energy after the consumption of the shiftable load; if the absorption space of the flexible distribution network is less than the excess output of new energy after the consumption of the shiftable load, the regional distribution network cuts off a portion of the power generation of the photovoltaic equipment or wind power equipment.

[0013] During the t period, when the new energy output is less than the load demand, formulating the day-ahead dispatch plan for the regional distribution network includes: calculating the initial power deficit at the beginning of the t period; determining whether the power of the energy storage device is greater than the minimum value; if the power of the energy storage device is greater than the minimum value, using the energy storage device to supply power to the load, and determining whether the initial power deficit is greater than the discharge power of the energy storage device; if the initial power deficit is greater than the discharge power of the energy storage device, calculating the power deficit after the energy storage device supplies power, and determining whether the power deficit after the energy storage device supplies power is greater than the output power of the controllable distributed power source; if the power deficit after the energy storage device supplies power is greater than the output power of the controllable distributed power source, cutting off the interruptible load, and calculating the power deficit after cutting off the interruptible load; if the power deficit after cutting off the interruptible load is greater than zero, reporting the power deficit after cutting off the interruptible load to the energy management center of the flexible distribution network.

[0014] After receiving the power deficit after cutting off the interruptible load, the energy management center of the flexible distribution network controls the flexible distribution network to make up the power deficit after cutting off the interruptible load.

[0015] Advantages of the present invention:

[0016] Based on the new energy output and load prediction results on the dispatch day, the present invention formulates the day-ahead dispatch plan for each regional distribution network, which can optimize the surplus or deficit of the new energy output in each regional distribution network and improve the power supply reliability of the highway energy guarantee network. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 It is a flowchart of the day-ahead optimal dispatch method for the highway energy guarantee network according to an embodiment of the present invention;

[0018] Figure 2 It is a flowchart of the day-ahead optimal dispatch method for the highway energy guarantee network according to an embodiment of the present invention;

[0019] Figure 3 It is a flowchart of formulating the day-ahead dispatch plan for the regional distribution network when the new energy output is greater than the load demand according to an embodiment of the present invention;

[0020] Figure 4 It is a flowchart of formulating the day-ahead dispatch plan for the regional distribution network when the new energy output is less than the load demand according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0021] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0022] The highway energy guarantee network in the embodiment of the present invention includes a plurality of regional distribution networks and a flexible distribution network at a higher level of the plurality of regional distribution networks. Among them, the regional distribution network is a highway energy guarantee microgrid, including photovoltaic equipment, wind power equipment, controllable distributed power sources, energy storage equipment, shiftable loads, interruptible loads, and non-adjustable loads; the flexible distribution network can be a large power grid including substations, etc. In the regional distribution network, the control of photovoltaic equipment, wind power equipment, and controllable distributed power sources can be realized by a distributed power source controller, the control of energy storage equipment can be realized by an energy storage system controller, and the control of shiftable loads, interruptible loads, and non-adjustable loads can be realized by a load controller. Moreover, each regional distribution network includes a node controller, and the node controller is respectively connected to the distributed power source controller, the energy storage system controller, and the load controller to realize the centralized control of the entire regional distribution network.

[0023] As Figure 1 shown, the day-ahead optimal scheduling method of the highway energy guarantee network in the embodiment of the present invention includes the following steps:

[0024] S1. Based on the day-ahead weather forecast information, predict the new energy output and load of each regional distribution network on the scheduling day.

[0025] In an embodiment of the present invention, the predicted new energy output includes the output of photovoltaic equipment and wind power equipment, and the predicted load is the non-adjustable load.

[0026] It should be understood that the output of photovoltaic equipment, wind power equipment, and non-adjustable load are related to weather parameters such as solar irradiance, ambient air temperature, wind speed, and humidity. Therefore, the new energy output and load of each regional distribution network on the scheduling day can be predicted based on the day-ahead weather forecast information.

[0027] In a specific embodiment of the present invention, a data table of the correspondence between weather parameters and new energy output and load can be pre-stored. For example, this data table can be generated by accumulating historical data. After obtaining the day-ahead weather forecast information, this data table is called to predict the new energy output and load of each regional distribution network on the scheduling day.

[0028] S2. Based on the prediction results of the new energy output and load on the scheduling day, formulate the day-ahead scheduling plan for each regional distribution network.

[0029] Further, as Figure 2 shown, the day-ahead optimal scheduling method for the highway energy security network according to the embodiment of the present invention further includes the following steps:

[0030] S3. Formulate the day-ahead scheduling plan for the flexible distribution network according to the day-ahead scheduling plan of each regional distribution network and the load forecasting data outside each regional distribution network.

[0031] In an embodiment of the present invention, the day-ahead scheduling plan of the regional distribution network is divided into multiple time periods. For example, the node controller can use the above forecasting data to generate a day-ahead scheduling plan for the regional distribution network with 96 scheduling time periods at 15-minute intervals.

[0032] The embodiment of the present invention analyzes the day-ahead scheduling plan of the regional distribution network in two scenarios: when the new energy output in the region is greater than the load demand and when the new energy output is less than the load demand.

[0033] When the new energy output is greater than the load demand, it means that the new energy in this time period cannot be fully absorbed, resulting in an oversupply of new energy power generation. To maximize the local absorption of new energy output and reduce the power transmitted by new energy to the superior power grid, new absorption space needs to be found for new energy. At the same time, considering the economic efficiency, environmental benefits and user satisfaction of the power grid operation, the scheduling priority of controllable units is set as energy storage devices, shiftable loads, and flexible distribution networks.

[0034] When the new energy output is less than the load demand, it means that the new energy in this time period is fully absorbed and there is no oversupply of new energy output. To achieve power balance and ensure load demand, and at the same time considering economic efficiency, environmental benefits and user satisfaction, the scheduling priority of controllable units is set as energy storage devices, controllable distributed power sources, interruptible loads, and flexible distribution networks.

[0035] In an embodiment of the present invention, as Figure 3 shown, within the t time period, when the new energy output is greater than the load demand, formulating the day-ahead scheduling plan for the regional distribution network includes the following steps:

[0036] S301. Calculate the initial oversupply of new energy output in the t time period.

[0037] The initial oversupply of new energy output ΔP1(t) is:

[0038] ΔP1(t) = P PV (t) + P WT (t) - P L0 (t)

[0039] where P PV (t) is the predicted photovoltaic output data in the t time period, and P WT(t) is the predicted wind power output data for time period t, and P L0 (t) is the predicted load demand data for time period t.

[0040] S302, determine whether the power of the energy storage device is less than the maximum value.

[0041] That is, whether SOC(t) < SOC max holds. SOC(t) represents the power of the energy storage device at time period t, and SOC max represents the maximum value of the power of the energy storage device.

[0042] S303, if the power of the energy storage device is less than the maximum value, use the excess new energy output to charge the energy storage device, and determine whether the initial excess new energy output is greater than the charging power of the energy storage device.

[0043] If the power of the energy storage device is less than the maximum value, it means that the energy storage device can still store power. If the power of the energy storage device is not less than the maximum value, after setting the charging power ΔP ess (t) = 0 of the energy storage device at time period t, execute the calculation of the excess new energy output after the energy storage device consumes in step S304.

[0044] Determine whether the initial excess new energy output is greater than the charging power of the energy storage device, that is, determine whether ΔP1(t) - ΔP ess (t) is greater than zero. If so, it means that the new energy is not fully consumed at this time, and step S304 can be executed. Otherwise, perform the scheduling for the next time period.

[0045] S304, if the initial excess new energy output is greater than the charging power of the energy storage device, calculate the excess new energy output after the energy storage device consumes, and determine whether the excess new energy output after the energy storage device consumes meets the power demand for the operation of the shiftable load, and whether the duration meets the minimum operation time of the shiftable load.

[0046] The excess new energy output ΔP2(t) after the energy storage device consumes is:

[0047] ΔP2(t) = ΔP1(t) - ΔP ess (t)

[0048] In the figure, T c represents the duration during which the excess new energy output after the energy storage device consumes meets the power demand for the operation of the shiftable load, and τ represents the minimum operation time of the shiftable load.

[0049] S305. If the excess new energy output after the energy storage device is consumed meets the power demand for the operation of the shiftable load and the duration meets the minimum operation time of the shiftable load, then call the shiftable load and calculate whether the excess new energy output after the shiftable load is consumed is greater than zero.

[0050] The excess new energy output ΔP3(t) after the shiftable load is consumed is:

[0051]

[0052] Where P TL (t) is the power demand of the shiftable load, and μ t TL is the call coefficient. If the above conditions are met, the shiftable load is called, and at this time μ t TL = 1; if the above conditions are not met, the shiftable load is not called, and at this time μ t TL = 0.

[0053] S306. If the excess new energy output after the shiftable load is consumed is greater than zero, report the excess new energy output after the shiftable load is consumed to the energy management center of the flexible distribution network.

[0054] If the excess new energy output after the shiftable load is consumed is not greater than zero, it means that the new energy output has been fully consumed, and the scheduling for the next time period can be carried out; if the excess new energy output after the shiftable load is consumed is greater than zero, the new energy output has not been fully consumed, and at this time, the flexible distribution network conducts the scheduling.

[0055] Furthermore, after the energy management center of the flexible distribution network receives the excess new energy output after the shiftable load is consumed, it judges whether the absorption space of the flexible distribution network is greater than or equal to the excess new energy output after the shiftable load is consumed. If the absorption space of the flexible distribution network is greater than or equal to the excess new energy output after the shiftable load is consumed, then the flexible distribution network can absorb this excess new energy output; if the absorption space of the flexible distribution network is less than the excess new energy output after the shiftable load is consumed, then the regional distribution network cuts off the power generation of a part of the photovoltaic equipment or wind power equipment. Considering that the volatility of photovoltaic is less than that of wind power, photovoltaic power generation is preferentially absorbed.

[0056] In an embodiment of the present invention, as Figure 4 shown, within the t time period, when the new energy output is less than the load demand, formulating the day-ahead scheduling plan for the regional distribution network includes the following steps:

[0057] S401. Calculate the initial power deficit in the t time period.

[0058] The initial power deficit ΔP4(t) is:

[0059] ΔP4(t) = P L0 (t) - (P PV (t) + P WT (t))

[0060] S402, determine whether the power of the energy storage device is greater than the minimum value.

[0061] That is, determine whether SOC(t) > SOC min holds, where SOC min represents the minimum value of the power of the energy storage device.

[0062] S403, if the power of the energy storage device is greater than the minimum value, use the energy storage device to supply power to the load, and determine whether the initial power deficit is greater than the discharge power of the energy storage device.

[0063] If the power of the energy storage device is greater than the minimum value, it means that the energy storage device can still discharge. If the power of the energy storage device is not greater than the minimum value, after setting the discharge power ΔP ess (t) = 0 of the energy storage device at time t, perform the calculation of the power deficit after the energy storage device supplies power in step S404.

[0064] Determine whether the initial power deficit is greater than the discharge power of the energy storage device, that is, determine whether ΔP4(t) - ΔP ess (t) is greater than zero. If so, it means that the discharge of the energy storage device still cannot meet the load demand at this time, and step S404 can be executed. Otherwise, perform the scheduling for the next time period.

[0065] S404, if the initial power deficit is greater than the discharge power of the energy storage device, calculate the power deficit after the energy storage device supplies power, and determine whether the power deficit after the energy storage device supplies power is greater than the output power of the controllable distributed power source.

[0066] The power deficit ΔP5(t) after the energy storage device supplies power is:

[0067] ΔP5(t) = ΔP4(t) - ΔP ess (t)

[0068] Determine whether the power deficit after the energy storage device supplies power is greater than the output power of the controllable distributed power source, that is, determine whether ΔP5(t) - P DG (t) is greater than zero, where P DG (t) is the output power of the controllable distributed power source at time t. If so, it means that the output power of the controllable distributed power source still cannot meet the load demand. At this time, it is necessary to cut off the interruptible load, that is, execute step S405; if not, perform the scheduling for the next time period.

[0069] S405. If the power deficit after the energy storage device supplies power is greater than the output power of the controllable distributed power source, interruptible loads are shed, and the power deficit after shedding the interruptible loads is calculated.

[0070] The power deficit ΔP6(t) after shedding the interruptible loads is:

[0071] ΔP6(t) = ΔP5(t) - P DG (t) - P IL (t)

[0072] where P IL (t) is the power of the interruptible load.

[0073] S406. If the power deficit after shedding the interruptible loads is greater than zero, the power deficit after shedding the interruptible loads is reported to the energy management center of the flexible distribution network.

[0074] If the power deficit after shedding the interruptible loads is not greater than zero, it means that shedding the interruptible loads can meet the load demand and there is no power deficit. If the power deficit after shedding the interruptible loads is greater than zero, it means that shedding the interruptible loads still cannot meet the load demand, and at this time, the flexible distribution network conducts scheduling.

[0075] Furthermore, after receiving the power deficit after shedding the interruptible loads, the energy management center of the flexible distribution network controls the flexible distribution network to make up for this power deficit.

[0076] In the embodiments of the present invention, the energy management center of the flexible distribution local area network is responsible for collecting the day-ahead scheduling plans reported by each regional distribution network and the load forecasting data outside the regional distribution network. Then, based on the equivalent daily load curve (the curve after superimposing the daily load forecasting data and the equivalent distributed power output of the regional distribution network), with 15 minutes as the duration of each scheduling stage, a day-ahead scheduling strategy for 96 scheduling periods is formulated.

[0077] The process of formulating the day-ahead scheduling plan for the flexible distribution network can be divided into 3 steps: Step 1, the energy management center of the flexible distribution network receives the power deficit or the request for renewable energy consumption space reported by the regional distribution network; Step 2, according to the power generation plans or power demands reported by each regional distribution network, cross-regional coordination is carried out to formulate a global optimal operation strategy to maximize the satisfaction of the scheduling plans of each regional distribution network, and the output power instructions of the equivalent controllable distributed power sources in each regional distribution network at each scheduling period are formulated; Step 3, each regional distribution network adjusts the internal resources according to the scheduling plan sent by the energy management center of the flexible distribution network, so that the output power of the regional distribution network meets the optimized power value of the flexible distribution network, realizing the joint optimal operation of the flexible distribution network and the regional distribution network.

[0078] According to the day-ahead optimal scheduling method of the highway energy security network according to the embodiments of the present invention, the day-ahead scheduling plan of each regional distribution network is formulated based on the new energy output and load prediction results on the scheduling day, which can optimize the surplus or deficit of the new energy output in each regional distribution network and improve the power supply reliability of the highway energy security network.

[0079] In the description of the present invention, the terms "first" and "second" are only used for descriptive purposes and cannot be construed as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include one or more of such features. The meaning of "a plurality" is two or more unless otherwise specifically defined.

[0080] In the present invention, unless otherwise clearly defined and limited, the terms "installed", "connected", "connected to", "fixed" and other terms should be understood in a broad sense. For example, it may be a fixed connection, a detachable connection, or integrated; it may be a mechanical connection or an electrical connection; it may be directly connected or indirectly connected through an intermediate medium, and it may be the internal connection of two components or the interaction relationship between two components. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0081] In the present invention, unless otherwise clearly defined and limited, the first feature being "on" or "under" the second feature may be that the first and second features are in direct contact, or the first and second features are indirectly in contact through an intermediate medium. Moreover, the first feature being "above", "over" and "on top of" the second feature may be that the first feature is directly above or obliquely above the second feature, or merely indicates that the first feature has a higher horizontal height than the second feature. The first feature being "under", "below" and "beneath" the second feature may be that the first feature is directly below or obliquely below the second feature, or merely indicates that the first feature has a lower horizontal height than the second feature.

[0082] In the description of this specification, the description with reference to terms such as "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not have to be directed to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in a suitable manner in any one or more embodiments or examples. In addition, without contradiction, those skilled in the art can combine and combine the different embodiments or examples described in this specification and the features of different embodiments or examples.

[0083] Any process or method description represented in a flowchart or otherwise described herein can be understood to represent a module, segment, or portion of code including one or more executable instructions for implementing a specific logical function or process. The scope of the preferred embodiments of the present invention includes additional implementations, where functions may be executed in a substantially simultaneous manner or in a reverse order according to the functions involved, rather than in the order shown or discussed, which should be understood by those skilled in the art to which the embodiments of the present invention pertain.

[0084] The logic and / or steps represented in a flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing a logical function, and can be specifically implemented in any computer-readable medium for use by an instruction execution system, apparatus, or device (such as a computer-based system, a system including a processor, or other systems that can fetch and execute instructions from the instruction execution system, apparatus, or device), or in conjunction with such instruction execution systems, apparatuses, or devices. For the purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by or in conjunction with an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium include the following: an electrical connection portion having one or more wirings (electronic device), a portable computer diskette (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium can even be paper or other suitable media on which the program can be printed, because the program can be obtained electronically, for example, by optically scanning the paper or other media, followed by editing, interpretation, or otherwise processing as appropriate, and then storing it in a computer memory.

[0085] It should be understood that various parts of the present invention can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented using software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented using hardware, as in another embodiment, any one or a combination of the following techniques well known in the art can be used: discrete logic circuits having logic gate circuits for implementing logical functions on data signals, application specific integrated circuits having appropriate combinational logic gate circuits, programmable gate arrays (PGAs), field programmable gate arrays (FPGAs), etc.

[0086] Those of ordinary skill in the art can understand that all or part of the steps carried out in implementing the above-described embodiment methods can be completed by a program instructing relevant hardware. The program can be stored in a computer-readable storage medium. When the program is executed, it includes one or a combination of the steps of the method embodiment.

[0087] In addition, in each of the embodiments of the present invention, the functional units can be integrated into a processing module, or each unit can exist physically alone, or two or more units can be integrated into one module. The above-integrated module can be implemented in the form of hardware or in the form of a software functional module. When the above-integrated module is implemented in the form of a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

[0088] Although the embodiments of the present invention have been shown and described above, it can be understood that the above embodiments are exemplary and should not be construed as limiting the present invention. Those of ordinary skill in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present invention.

Claims

1. A day-ahead optimal scheduling method for the highway energy security network, characterized in that, The highway energy guarantee network includes multiple regional distribution networks and a flexible distribution network at a higher level than the multiple regional distribution networks. The regional distribution network includes photovoltaic devices, wind power devices, controllable distributed power sources, energy storage devices, shiftable loads, interruptible loads, and non-adjustable loads. The day-ahead optimal scheduling method includes the following steps: Based on the day-ahead weather forecast information, predict the new energy output and load of each regional distribution network on the scheduling day; Formulate the day-ahead scheduling plan for each regional distribution network based on the predicted results of the new energy output and load on the scheduling day, The day-ahead scheduling plan of the regional distribution network is divided into multiple time periods. In the t-th time period, when the new energy output is greater than the load demand, formulating the day-ahead scheduling plan of the regional distribution network includes: calculating the initial excess of new energy output in the t-th time period, where the new energy output includes the output of the photovoltaic device and the output of the wind power device; determining whether the power of the energy storage device is less than the maximum value; if the power of the energy storage device is less than the maximum value, use the excess new energy output to charge the energy storage device, and determine whether the initial excess of new energy output is greater than the charging power of the energy storage device; if the initial excess of new energy output is greater than the charging power of the energy storage device, calculate the excess of new energy output after the energy storage device consumes it, and determine whether the excess of new energy output after the energy storage device consumes it meets the power demand for the operation of the shiftable load and whether the duration meets the minimum operation time of the shiftable load; if the excess of new energy output after the energy storage device consumes it meets the power demand for the operation of the shiftable load and the duration meets the minimum operation time of the shiftable load, call the shiftable load, and calculate whether the excess of new energy output after the shiftable load consumes it is greater than zero; if the excess of new energy output after the shiftable load consumes it is greater than zero, report the excess of new energy output after the shiftable load consumes it to the energy management center of the flexible distribution network.

2. The day-ahead optimal scheduling method for the highway energy security network according to claim 1, characterized in that, It also includes: Formulate the day-ahead scheduling plan of the flexible distribution network according to the day-ahead scheduling plan of each regional distribution network and the load prediction data outside each regional distribution network.

3. The day-ahead optimal scheduling method for the highway energy security network according to claim 2, characterized in that, After receiving the excess of new energy output after the shiftable load consumes it, the energy management center of the flexible distribution network determines whether the absorption space of the flexible distribution network is greater than or equal to the excess of new energy output after the shiftable load consumes it. If the absorption space of the flexible distribution network is less than the excess of new energy output after the shiftable load consumes it, the regional distribution network cuts off the power generation of a part of the photovoltaic devices or wind power devices.

4. The day-ahead optimal scheduling method for the highway energy security network according to claim 3, characterized in that, In the t-th time period, when the new energy output is less than the load demand, formulating the day-ahead scheduling plan of the regional distribution network includes: Calculate the initial power deficit in the t-th time period; Determine whether the power of the energy storage device is greater than the minimum value; If the power of the energy storage device is greater than the minimum value, use the energy storage device to supply power to the load, and determine whether the initial power deficit is greater than the discharge power of the energy storage device; If the initial power deficit is greater than the discharge power of the energy storage device, calculate the power deficit after the energy storage device supplies power, and determine whether the power deficit after the energy storage device supplies power is greater than the output power of the controllable distributed power source; If the power deficit after the energy storage device supplies power is greater than the output power of the controllable distributed power source, disconnect the interruptible load, and calculate the power deficit after disconnecting the interruptible load; If the power deficit after disconnecting the interruptible load is greater than zero, report the power deficit after disconnecting the interruptible load to the energy management center of the flexible distribution network.

5. The day-ahead optimal scheduling method for the highway energy security network according to claim 4, characterized in that, After receiving the power deficit after disconnecting the interruptible load, the energy management center of the flexible distribution network controls the flexible distribution network to make up for the power deficit after disconnecting the interruptible load.

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