Method for determining operation strategy of integrated energy system and related equipment

Abstract

The application discloses a method for determining an operation strategy of a comprehensive energy system and related equipment, and belongs to the technical field of energy systems. The method comprises the following steps: acquiring system information of a target energy system and historical load demand of a power supply area of the target energy system; determining a first load demand curve of the target energy system based on the system information and the historical load demand; constructing an output model corresponding to each of all energy devices in the target energy system based on the system information; performing output simulation based on the output model corresponding to each of all the energy devices and the first load demand curve, and acquiring an operation strategy corresponding to each of all the energy devices according to a result of the output simulation. In the method, the accuracy of the production simulation result is higher than that of the prior art, so that the operation strategy corresponding to the case that the system operation cost is minimized can be applied to actual production, and the operation cost is reduced.

Description

Technical Field

[0001] This application belongs to the field of energy system technology, specifically relating to a method for determining the operation strategy of an integrated energy system and related equipment. Background Technology

[0002] With social development, new energy sources, represented by wind power and photovoltaics, are developing on a large scale. Replacing the traditional high-carbon energy power system, which is mainly based on coal, with a new type of power system based on clean energy is an inevitable choice for achieving sustainable development. The application of new energy sources is very widespread in integrated energy systems.

[0003] Due to the intermittent and fluctuating power output characteristics of new energy sources such as wind power and photovoltaics, the complexity of the operation process of integrated energy systems is greatly increased compared with traditional energy systems. When simulating the production of integrated energy systems, existing technologies ignore the coordination and cooperation of multiple power sources, resulting in higher system operating costs. Summary of the Invention

[0004] The purpose of this application is to provide a method and related equipment for determining the operation strategy of an integrated energy system, which can solve the problem of high operating costs of integrated energy systems.

[0005] In a first aspect, embodiments of this application provide a method for determining the operation strategy of an integrated energy system, the method comprising:

[0006] Obtain system information of the target energy system and historical load demand of the area supplied by the target energy system;

[0007] Based on the system information and the historical load demand, the first load demand curve of the target energy system is determined;

[0008] Based on the system information, construct the output model corresponding to each of the energy devices in the target energy system;

[0009] Output simulation is performed based on the output models corresponding to each of the energy devices and the first load demand curve. Based on the results of the output simulation, the operation strategies corresponding to each of the energy devices are obtained. The operation strategies include target output data obtained based on the results of the output simulation.

[0010] Secondly, embodiments of this application provide an apparatus for determining the operation strategy of an integrated energy system, the apparatus comprising:

[0011] The first acquisition module is used to acquire system information of the target energy system and historical load demand of the power supply area of ​​the target energy system.

[0012] The first determining module is used to determine the first load demand curve of the target energy system based on the system information and the historical load demand;

[0013] The model building module is used to build output models for each of the energy devices in the target energy system based on the system information.

[0014] The output simulation module is used to perform output simulation based on the output models corresponding to each of the energy devices and the first load demand curve, and to obtain the operating strategies corresponding to each of the energy devices according to the results of the output simulation, wherein the operating strategies include target output data obtained according to the results of the output simulation.

[0015] Thirdly, embodiments of this application provide an electronic device, which includes a processor, a memory, and a program stored in the memory and executable on the processor. When the program is executed by the processor, it implements the steps of the method described in the first aspect.

[0016] Fourthly, embodiments of this application provide a computer-readable storage medium storing a computer program that, when executed by a processor, implements the steps of the method described in the first aspect.

[0017] Fifthly, a computer program product is provided, including computer instructions that, when executed by a processor, implement the steps of the method described in the first aspect.

[0018] In this embodiment, system information of the target energy system and historical load demand of the power supply area of ​​the target energy system are obtained; based on the system information and the historical load demand, a first load demand curve of the target energy system is determined; based on the system information, output models corresponding to each energy device in the target energy system are constructed; output simulation is performed based on the output models corresponding to each energy device and the first load demand curve; and operating strategies corresponding to each energy device are obtained based on the results of the output simulation. Because the output simulation comprehensively considers the operating characteristics and coordinated interaction of various devices, the production simulation process is more closely aligned with the actual production process, resulting in higher accuracy of the production simulation results. This allows the operating strategies corresponding to the minimum system operating cost to be applied in actual production, reducing operating costs. Attached Figure Description

[0019] To more clearly illustrate the technical solutions of the embodiments of this application, the drawings used in the description of the embodiments of this application will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0020] Figure 1 A flowchart illustrating the method for determining the operation strategy of an integrated energy system provided in this application embodiment;

[0021] Figure 2 A diagram illustrating the operating characteristics of a combined heat and power (CHP) system.

[0022] Figure 3 This is a schematic diagram of the operation simulation process of the fuel equipment;

[0023] Figure 4 This is a schematic diagram of the operation simulation process of hydroelectric equipment;

[0024] Figure 5 This is a schematic diagram of the operation simulation process of a solar thermal device;

[0025] Figure 6 This is a schematic diagram of the operation simulation process of energy storage equipment;

[0026] Figure 7 A schematic diagram of the coal consumption curve for coal-fired power equipment;

[0027] Figure 8 A schematic diagram illustrating the process for determining whether energy storage equipment can replace coal-fired power equipment;

[0028] Figure 9 A schematic diagram of the production simulation process for the target energy system;

[0029] Figure 10 A schematic diagram illustrating the process of determining the target maintenance period;

[0030] Figure 11 A schematic diagram of the structure of the device for determining the operation strategy of an integrated energy system provided in the embodiments of this application;

[0031] Figure 12 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0032] The technical solutions of the embodiments of this application will be clearly described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this application. All other embodiments obtained by those skilled in the art based on the embodiments of this application are within the scope of protection of this application.

[0033] The terms "first," "second," etc., used in the specification and claims of this application are used to distinguish similar objects and not to describe a specific order or sequence. It should be understood that such use of data can be interchanged where appropriate so that embodiments of this application can be implemented in orders other than those illustrated or described herein, and the objects distinguished by "first," "second," etc., are generally of the same class and the number of objects is not limited; for example, a first object can be one or more. Furthermore, in the specification and claims, "and / or" indicates at least one of the connected objects, and the character " / " generally indicates that the preceding and following objects are in an "or" relationship.

[0034] The methods provided in this application will be described in detail below with reference to the accompanying drawings, through specific embodiments and application scenarios.

[0035] like Figure 1 The diagram shown is a flowchart illustrating the method for determining the operation strategy of an integrated energy system according to an embodiment of this application, including the following steps:

[0036] Step 101: Obtain system information of the target energy system and historical load demand of the power supply area of ​​the target energy system;

[0037] In this embodiment, the target energy system is an integrated energy system that includes new energy equipment such as wind power and photovoltaics. System information includes equipment type and equipment parameters. Equipment type may include new energy equipment, coal-fired power equipment, biomass power generation equipment, gas-fired power equipment, combined heat and power equipment, hydropower equipment, nuclear power equipment, energy storage equipment, etc. Equipment parameters may include installed parameters, output characteristics, maintenance requirements, etc.

[0038] The target energy system is used to supply power to the power supply area, and the historical load demand of the power supply area may include the local load demand of the target energy system and the energy exchange situation with the surrounding areas.

[0039] Step 102: Based on the system information and the historical load demand, determine the first load demand curve of the target energy system;

[0040] Understandably, load demand corresponds to the output (power supply) of the energy system, and the output of the energy system needs to meet the load demand. Theoretically, the power provided by the target energy system only needs to meet historical load requirements, but in practice, issues such as the need for energy equipment maintenance, power supply stability, and the emergency response capabilities of the target energy system must also be considered. In this embodiment, a first load demand curve is determined by combining system information and historical load demand. The power data indicated by the first load demand curve is closer to the power that the target energy system should actually provide.

[0041] Step 103: Based on the system information, construct the output model corresponding to each of the energy devices in the target energy system.

[0042] In this embodiment, energy equipment may include new energy equipment, coal-fired power equipment, biomass power generation equipment, gas-fired power equipment, combined heat and power equipment, hydropower equipment, nuclear power equipment, energy storage equipment, etc.

[0043] Alternatively, the operating output characteristics of gas-fired power equipment, coal-fired power equipment, and biomass power generation equipment are quite similar, and all three need to meet minimum technical output and ramp-up constraints, as shown in the following formula:

[0044] P min ≤P(t)≤P max ,

[0045] P down ≤P(t)-P(t-1)≤P up ,

[0046] Among them, P min and P max These represent the minimum output and operating capacity of the equipment, respectively. down and P up These represent the power output limits for the equipment when it is climbing downwards and upwards, respectively, and P(t) is the power output of the coal-fired power equipment at time t.

[0047] Optionally, coal-fired power plants, biomass power plants, gas-fired power plants, and other fuel-powered power generation equipment can be used as combined heat and power (CHP) equipment, simultaneously supplying heat and electricity. The output characteristics of CHP equipment differ significantly from those of the aforementioned pure power generation equipment. During the heating season, the power supply from CHP equipment is primarily limited by the heat load, thus restricting its peak-shaving capacity. For example... Figure 2 The diagram shows the operating characteristics of a combined heat and power (CHP) system. P(t) represents the power output, and H(t) represents the heating output. Considering various constraints, the operating range of the CHP system is the range enclosed by the three curves P1, P2, and P3, which can be expressed by the following formula:

[0048]

[0049] Among them, K min K max K b These are the minimum output coefficient, maximum output coefficient, and conventional output coefficient, determined based on the equipment's installed parameters, H. max It is the maximum heating output determined based on the equipment's installed parameters.

[0050] Based on the above characteristics, the operation simulation process for coal-fired power equipment, biomass power equipment, gas-fired power equipment, and corresponding combined heat and power equipment is as follows: Figure 3As shown, based on the obtained load demand curve and installed capacity parameters, the operating logic is as follows:

[0051] (1) If the equipment is in operation during the heating season, the operating capacity of non-heating and heating equipment will be reduced in turn according to the load demand, and the working output of heating and non-heating equipment will be arranged in turn.

[0052] (2) If the equipment is in operation during the non-heating period, the operating capacity of heating and non-heating equipment will be reduced in turn according to the load demand, and the working output of non-heating equipment and heating equipment will be arranged in turn.

[0053] (3) Obtain the working time period of the equipment (including heating equipment and non-heating equipment) and the output data corresponding to the working time period. The output data corresponding to the working time period can be deducted from the load demand curve to update the load demand curve for subsequent simulation of the operation of other energy equipment. Steps (2) and (1) are parallel, and step (3) is the step performed after step (1) or (2) outputs power.

[0054] Optionally, the operation of hydropower equipment needs to meet the constraints of forced output, expected output, and average output. The output model can be expressed by the following formula:

[0055] P f ≤P≤P e ,

[0056] ∫Pdt≤P a *Δ,

[0057] Among them, P f P e P a These are the forced output, expected output, and average output limits for hydropower. The operation simulation process for hydropower equipment is as follows: Figure 4 As shown, the operating logic is as follows:

[0058] (1) Given the load demand curve and the corresponding hydrological conditions of the hydropower equipment, the hydropower equipment should be arranged to operate at base load first.

[0059] (2) After the base load output is completed, if there is remaining available power, it will be determined whether there is a peak shaving demand based on the load demand curve. If there is a peak shaving demand, peak shaving output will be carried out; if there is no peak shaving demand, the remaining available power will be arranged to carry the base load and the base load output will be updated.

[0060] (3) Subtract the base load output from the load demand curve. If there is peak load output, subtract the peak load output at the same time and update the load demand curve.

[0061] Optionally, since the operating output of nuclear power equipment is relatively stable, the simulation process is as follows: During system operation, it primarily bears the base load. Based on the installed nuclear power capacity and maintenance requirements, the load demand curve can be updated by further subtracting the nuclear power output from the existing load demand curve. Its output model can be expressed by the following formula:

[0062] P = P e ,

[0063] Among them, P e The operating capacity of nuclear power equipment after deducting maintenance capacity.

[0064] Optionally, the output of new energy equipment such as wind power and photovoltaics can be directly determined by the selected typical annual output data. Considering the priority consumption of new energy, the specific output of wind power and photovoltaics can be directly deducted from the load curve when conducting production operation simulation.

[0065] The output of solar thermal equipment is related to the intensity of sunlight and exhibits typical seasonal characteristics. Different sunlight conditions necessitate power limitations. The daily output of the equipment is constrained by the following formula:

[0066]

[0067] P≤P N ,

[0068] Where Q represents the amount of electricity that can be generated based on the day's sunlight conditions, and P... N This refers to the installed capacity of the solar thermal equipment. Its operational simulation process is as follows: Figure 5 As shown, the operating logic is as follows:

[0069] (1) Based on the obtained load demand curve and the corresponding illumination conditions of the solar thermal equipment, it can be determined whether there is available electricity according to the illumination conditions;

[0070] (2) If there is available electricity, determine whether peak shaving is needed based on the load demand curve. If peak shaving is needed, prioritize peak shaving output; if there is no peak shaving demand, prioritize base load output.

[0071] (3) Update the load curve based on peak load output and / or base load output.

[0072] Optionally, the operating characteristics of the energy storage device must also meet power and energy constraints, as shown in the following formula:

[0073] P c ≤P cmax ,

[0074] P d ≤P dmax ,

[0075] 0≤Q≤Qmax ,

[0076] Q(t) = P c (t)*σ+Q(t-1)-P d (t),

[0077] Among them, P c P d These represent the charging power and discharging power of the energy storage device, respectively, P. cmax and P dmax This represents the corresponding maximum value. Q(t) is the energy storage device's charge at time t. max σ represents the maximum energy capacity. σ is the charging efficiency of the energy storage device. Its operation simulation process is as follows: Figure 6 As shown, the operating logic is as follows:

[0078] (1) Based on the load demand curve and the equipment parameters of the energy storage equipment, priority should be given to absorbing the curtailment of new energy equipment (such as wind and solar curtailment), that is, storing the curtailment of new energy equipment;

[0079] (2) Determine whether it is economical to replace the start-up of coal-fired power equipment (to release the stored electricity to replace a portion of the electricity that the coal-fired power equipment needs to supply). If it is economical, calculate the replacement work electricity and then calculate the output electricity; if it is not economical, calculate the output electricity directly.

[0080] (3) Output power based on power output and update the load curve.

[0081] The principle for judging the economic viability of energy storage devices replacing coal power is as follows: (e.g.) Figure 7 The figure shows the actual coal consumption curve of a typical coal-fired power plant. It can be seen that the coal consumption per kilowatt-hour is minimum when the equipment is operating at its rated capacity; the lower the equipment output, the higher the coal consumption per kilowatt-hour. Therefore, energy storage devices can be used for peak-valley regulation to reduce fuel costs: during off-peak periods, the energy storage device charges, increasing coal-fired power output and reducing the cost per kilowatt-hour of coal consumption, thus increasing the total coal consumption for power generation during off-peak periods; during peak periods, the energy storage device discharges, reducing the operating capacity of the coal-fired power plant and reducing coal consumption during peak periods. When the increase in coal consumption during off-peak periods is less than the reduction in coal consumption during peak periods, the energy storage device needs to perform peak-valley regulation. The economic evaluation process for energy storage devices replacing coal-fired power plants in the production operation simulation flow is as follows: Figure 8 As shown:

[0082] (1) Obtain the output curve and coal consumption per kilowatt-hour curve of coal-fired power equipment;

[0083] (2) Based on the coal consumption curve per kilowatt-hour and the output curve of coal-fired power equipment, the marginal operating cost of coal consumption of coal-fired power equipment is generated;

[0084] (3) Within the operating cycle of the energy storage equipment, calculate the marginal operating costs C1 and C2 corresponding to the minimum and maximum output of the coal-fired power equipment;

[0085] (4) When C1 is less than C2, arrange energy storage equipment to replace the output of coal-fired power equipment.

[0086] Optionally, the target energy system may also include power transmission equipment, with transmission capacity and annual power consumption constraints clearly defined based on medium- and long-term power transmission and reception agreements. The output model of the power transmission equipment can be represented by the following formula:

[0087] P min ≤P≤P max ,

[0088] ∫Pdt=Q l ,

[0089] Among them, P min P max These are the minimum and maximum allowable power for the transmission line, respectively; Q l This refers to the annual transmission volume specified in the medium- and long-term agreement. Based on a typical annual power transmission curve, the corresponding power transmission volume is directly deducted from the load curve during the production operation simulation.

[0090] Step 104: Perform output simulation based on the output model corresponding to each of the energy devices and the first load demand curve, and obtain the operation strategy corresponding to each of the energy devices according to the output simulation results. The operation strategy includes the target output data obtained according to the output simulation results.

[0091] By utilizing the output models corresponding to each energy device in the target energy system, operational simulations can be performed. The operational simulations aim to meet the first load demand curve and minimize the system operating cost. The target output data corresponding to each energy device when the operating cost is minimized in the operational simulation results will be used as the operational strategy for subsequent application in the actual production process.

[0092] In the method for determining the operation strategy of the integrated energy system provided in this application, the output model corresponding to each of the energy devices in the target energy system is constructed based on the system information. The output model is used to simulate the output of the first load demand curve. Since the operation characteristics and coordination of various devices are comprehensively considered in the output simulation process, the production simulation process is more in line with the actual production process, and the accuracy of the production simulation results is higher. Thus, the operation strategy corresponding to the minimum system operating cost can be applied to actual production, thereby reducing operating costs.

[0093] Optionally, the step of performing output simulation based on the output models corresponding to each of the energy devices and the first load demand curve, and obtaining the operating strategies corresponding to each of the energy devices based on the results of the output simulation, includes:

[0094] The first output simulation is performed based on the output models corresponding to each of the energy devices and the first load demand curve. The working capacity corresponding to the energy storage device is obtained from the results of the first output simulation. The working capacity includes both the wind and solar power curtailment and the capacity to replace coal-fired power plants considering economic efficiency. The first output simulation is performed by sequentially calling the output models of the energy devices according to the first preset calling logic to simulate the output of the first load demand curve.

[0095] Based on the working capacity, the abandoned power, the output models corresponding to each of the energy devices and the first load demand curve, a second output simulation is performed, and the output data corresponding to each of the energy devices is obtained from the results of the second output simulation. The second output simulation is performed by, after the energy storage device arranges its output according to the working capacity, sequentially calling the output models of the energy devices according to the second preset calling logic to simulate the output of the first load demand curve.

[0096] The output data corresponding to each of the energy devices obtained from the second output simulation are determined as the target output data.

[0097] In this embodiment, each power output simulation process may include two parts, namely a first power output simulation and a second power output simulation. In the two power output simulations, the simulation process for each type of energy device remains unchanged, as described in the above embodiments, and will not be repeated here.

[0098] After the first output simulation, the results of the first output simulation can be obtained, including the corresponding working capacity of the energy storage equipment. In the second output simulation, the output of the energy storage equipment is arranged based on the corresponding working capacity of the energy storage equipment. During the off-peak period, the abandoned electricity of new energy equipment and the increased output of coal power are stored. Subsequently, the stored electricity is released to replace the start-up of coal power. By reducing abandoned electricity and coal consumption, production costs can be reduced.

[0099] Compared to the method of conducting only one power output simulation, in this embodiment, the second power output simulation is associated with the first power output simulation, prioritizing the absorption of abandoned power and appropriately replacing the start-up of coal-fired power plants. This is equivalent to optimizing the results of the first power output simulation, resulting in a second power output simulation with further reduced costs. In other words, the operating strategy corresponding to the results of the second power output simulation can reduce production costs.

[0100] Optionally, the target energy system includes the following types of energy equipment: new energy equipment, energy storage equipment, adjustable output equipment, and non-adjustable output equipment;

[0101] The first preset invocation logic includes: sequentially invoking the new energy equipment, the non-adjustable output equipment, the adjustable output equipment, and the energy storage equipment to output power;

[0102] The second preset invocation logic includes: sequentially invoking the new energy equipment, the non-adjustable power output equipment, and the adjustable power output equipment to generate power.

[0103] Based on the output characteristics of various types of equipment, the working principles of various power sources can be clearly defined: priority should be given to consuming new energy equipment (such as wind power and photovoltaics), conventional hydropower, solar thermal power, gas power and other power sources should mainly participate in peak shaving and carry base load, pumped storage and new energy storage equipment should participate in peak shaving to reduce wind and solar curtailment and appropriately replace the operating capacity of coal-fired power equipment according to economics, coal-fired power equipment should carry base load and participate in some peak shaving, nuclear power equipment should mainly carry base load, and the working mode of combined heat and power equipment during the heating season should be determined by heat demand.

[0104] Non-adjustable output equipment may include: nuclear power equipment, the forced output portion of hydropower equipment, combined heat and power equipment, and the minimum technical output portion of coal-fired and biomass power generation, etc. Adjustable output equipment may include: the remaining output portion of coal-fired and biomass power generation equipment, the remaining output portion of hydropower equipment, solar thermal equipment, gas-fired power equipment, etc.

[0105] like Figure 9 As shown, the first preset calling logic can be "new energy - nuclear power - hydropower - solar thermal, combined heat and power - gas power - biomass - coal power - pumped storage / new energy storage". Through the first preset calling logic, the renewable energy absorption capacity and energy storage peak-shaving demand are determined first: firstly, wind power and photovoltaic output are fully absorbed; then, the base load capacity gap is filled according to the base load power source (nuclear power, coal power minimum technical output, etc.); then, hydropower, gas power and other peak-shaving power sources are arranged to play a role in smoothing load fluctuations, and the charging and discharging capacity demand of pumped storage / energy storage is calculated based on the peak-valley difference of the net load curve to ensure its potential to economically replace the peak-shaving capacity of coal power and to clarify the working capacity of pumped storage / new energy storage.

[0106] The second preset call logic is actually based on the first output simulation. It uses energy storage equipment to prioritize the handling of curtailed power from renewable energy equipment and replace the operating capacity of coal-fired power plants. The subsequent steps are similar to the first preset call logic. Through the second preset call logic, the output sequence of each power source is arranged in a refined manner: pumped storage equipment absorbs curtailed wind and solar power according to the working capacity obtained from the first layer of call and replaces the operating capacity of some coal-fired power equipment; gas power serves as a peak-shaving power source to cover short-term peak loads, and hydropower smooths out medium- and long-term fluctuations; coal-fired power, while ensuring the base load, responds to fluctuations that exceed the power regulation capacity of flexible power sources.

[0107] In this embodiment, the solution process for the comprehensive energy time-series production and operation simulation model containing a large number of variables and nonlinear constraints is simplified and the solution time is shortened through the aforementioned specific first and second preset calling logics. Simultaneously, the solution results are interpretable, and the solution method has strong engineering applicability. Furthermore, the coordination and cooperation between various types of equipment are thoroughly considered, and the substitution effect of pumped storage on the working state of coal-fired power plants is deeply explored, resulting in better solution results.

[0108] Optionally, determining the first load demand curve of the target energy system based on the system information and the historical load demand includes:

[0109] The historical load demand is statistically analyzed to obtain the historical load demand curve;

[0110] Based on the historical load demand curve and the preset reserve parameters, a second load demand curve is determined;

[0111] Based on the second load demand curve and the system information, the maintenance period for each energy device in the target energy system is determined;

[0112] The second load demand curve is updated based on the maintenance period of each energy device in the target energy system to obtain the first load demand curve.

[0113] In this embodiment, based on historical load demand, the theoretically required historical load demand curve for the target energy system can be derived, or in other words, the minimum load demand that the target energy system needs to meet. Subsequently, a second load demand curve is determined based on preset reserve parameters. This second load demand curve, based on the first load demand curve, considers the margin needed to handle special circumstances. Furthermore, maintenance periods for energy equipment are scheduled based on the second load demand curve. During maintenance, the energy equipment does not supply power, thus altering the output of the target energy system. The corresponding second load demand curve is adjusted to obtain the first load demand curve. Production simulation based on the first load demand curve, compared to production simulation based on historical load demand curves, more closely reflects the actual production process and provides greater accuracy in production simulation.

[0114] Optionally, determining the second load demand curve based on the historical load demand curve and preset reserve parameters includes:

[0115] Obtain the maximum load corresponding to the target time period in the historical load demand curve, wherein the target time period is any time period in the historical load demand curve;

[0116] Based on the maximum load and the preset reserve parameters, determine the reserve capacity corresponding to the target time period;

[0117] The reserve capacity is superimposed with the historical load demand curve for the target time period to obtain the target load demand curve for the target time period;

[0118] The second load demand curve is obtained based on the target load demand curve corresponding to each target time period in the historical load demand curve.

[0119] It should be noted that the reserve capacity in this embodiment is the hot reserve capacity. Corresponding to the hot reserve capacity, there is also a cold reserve capacity. The determination method for the two reserve capacities is as follows:

[0120] P ir =k r *P ilmax ,

[0121] P ic =k c *P ilmax ,

[0122] Among them, P ir and P ic Let k be the hot standby capacity and cold standby capacity required by the system during the target time period i, respectively. r and k c These are the system's hot and cold reserve coefficients, respectively. k r Take 7%, k c 4%. P ilmax This represents the maximum load value within the target time period i.

[0123] The hot reserve capacity is used to overlay the historical load demand curve to obtain a second load demand curve.

[0124] The cold standby capacity can be met by setting up a separate energy device.

[0125] Optionally, determining the maintenance period for each energy device in the target energy system based on the second load demand curve and the system information includes:

[0126] Based on the system information, the maintenance time of the target equipment is determined, wherein the target equipment is any equipment in the target energy system;

[0127] The second load demand curve is used to identify available maintenance periods with spare capacity.

[0128] Based on the maintenance time, a target maintenance period is determined from the available maintenance periods for the maintenance of the target equipment, wherein the duration of the target maintenance period is consistent with the maintenance time, and the total load demand within the target maintenance period is minimized.

[0129] Based on the system information, the maintenance time for the target equipment is determined. For example, for coal-fired power equipment, each piece of equipment requires maintenance once a year, typically lasting 45 days; gas-fired power equipment requires maintenance once a year, lasting 30 days; combined heat and power (CHP) equipment does not require maintenance during the heating season; conventional hydropower and pumped storage equipment require maintenance once a year, lasting 30 days, generally scheduled during the dry season; the maintenance time and cycle for nuclear power equipment are mainly determined by the nuclear reactor refueling time, and maintenance is scheduled during the nuclear reactor refueling period, typically around 18 months, with each refueling lasting 70 days. For wind, solar, and other new energy equipment, since the maintenance of a single piece of equipment has little impact on the overall power plant output, its maintenance is generally not considered separately. It should be noted that the priority for maintenance among various pieces of equipment is: prioritizing equipment with larger capacity.

[0130] Optionally, such as Figure 10 As shown, the process for determining the target maintenance period is as follows:

[0131] Based on the maintenance requirements, set up a maintenance time series array. The length of the maintenance time series array corresponds to the maintenance time. For example, if the maintenance time is 30 days, then the maintenance time series array needs to include 30 numbers.

[0132] Obtain the minimum load during the available maintenance period of the equipment, and fill the corresponding time number into the maintenance time series array above;

[0133] By comparing the maintenance time series array with the adjacent loads on the left and right, the maintenance time series is expanded. That is, starting from the time number corresponding to the minimum load, the maintenance time series is expanded to the left and right until the maintenance time series array is filled with time numbers. This maintenance time series array is then determined as the target maintenance period.

[0134] like Figure 11 As shown in the embodiment of this application, an apparatus for determining the operation strategy of an integrated energy system is also provided. The apparatus 1100 for determining the operation strategy of an integrated energy system includes:

[0135] The first acquisition module 1101 is used to acquire system information of the target energy system and historical load demand of the power supply area of ​​the target energy system.

[0136] The first determining module 1102 is used to determine the first load demand curve of the target energy system based on the system information and the historical load demand;

[0137] The model building module 1103 is used to build the output model of each energy device in the target energy system based on the system information.

[0138] The output simulation module 1104 is used to perform output simulation based on the output models corresponding to each of the energy devices and the first load demand curve, and to obtain the operating strategies corresponding to each of the energy devices according to the results of the output simulation, wherein the operating strategies include target output data obtained according to the results of the output simulation.

[0139] Optionally, the output simulation module 1104 includes:

[0140] The first simulation submodule is used to perform a first output simulation based on the output models corresponding to each of the energy devices and the first load demand curve, and to obtain the working capacity corresponding to the energy storage device from the results of the first output simulation. The first output simulation is to sequentially call the output models of the energy devices according to the first preset calling logic to perform output simulation on the first load demand curve.

[0141] The second simulation submodule is used to perform a second output simulation based on the working capacity, the output models corresponding to each of the energy devices, and the first load demand curve, and to obtain the output data corresponding to each of the energy devices from the results of the second output simulation. The second output simulation is performed by sequentially calling the output models of the energy devices to simulate the output of the first load demand curve according to the second preset calling logic after the energy storage device is scheduled to output according to the working capacity.

[0142] The first determining submodule is used to determine the output data corresponding to each of the energy devices obtained from the results of the second output simulation as the target output data.

[0143] Optionally, the target energy system includes the following types of energy equipment: new energy equipment, energy storage equipment, adjustable output equipment, and non-adjustable output equipment;

[0144] The first preset invocation logic includes: sequentially invoking the new energy equipment, the non-adjustable output equipment, the adjustable output equipment, and the energy storage equipment to output power;

[0145] The second preset invocation logic includes: sequentially invoking the energy storage device, the new energy device, the non-adjustable output device, and the adjustable output device to generate power.

[0146] Optionally, the first determining module 1102 includes:

[0147] The statistics submodule is used to statistically analyze the historical load demand and obtain the historical load demand curve;

[0148] The second determining submodule is used to determine the second load demand curve based on the historical load demand curve and the preset reserve parameters;

[0149] The third determining submodule is used to determine the maintenance period of each energy device in the target energy system based on the second load demand curve and the system information;

[0150] The update submodule is used to update the second load demand curve based on the maintenance period of each energy device in the target energy system, so as to obtain the first load demand curve.

[0151] Optionally, the second determining submodule is also used for:

[0152] Obtain the maximum load corresponding to the target time period in the historical load demand curve, wherein the target time period is any time period in the historical load demand curve;

[0153] Based on the maximum load and the preset reserve parameters, determine the reserve capacity corresponding to the target time period;

[0154] The reserve capacity is superimposed with the historical load demand curve for the target time period to obtain the target load demand curve for the target time period;

[0155] The second load demand curve is obtained based on the target load demand curve corresponding to each target time period in the historical load demand curve.

[0156] Optionally, the third determining submodule is also used for:

[0157] Based on the system information, the maintenance time of the target equipment is determined, wherein the target equipment is any equipment in the target energy system;

[0158] The second load demand curve is used to identify available maintenance periods with spare capacity.

[0159] Based on the maintenance time, a target maintenance period is determined from the available maintenance periods for the maintenance of the target equipment, wherein the duration of the target maintenance period is consistent with the maintenance time, and the total load demand within the target maintenance period is minimized.

[0160] It should be noted that the device 1100 for determining the operation strategy of the integrated energy system provided in this application embodiment can achieve the following: Figure 1 The entire technical process of determining the operation strategy of the integrated energy system shown in the embodiment, and achieving the same technical effect, will not be repeated here to avoid repetition.

[0161] This application also provides an electronic device, including: a processor, a memory, and a program stored in the memory and executable on the processor, wherein the program, when executed by the processor, implements the above-described functionality. Figure 1 The various processes of the method embodiments shown can achieve the same technical effect, and will not be described again here to avoid repetition.

[0162] For details, see Figure 12 As shown in the figure, this application embodiment also provides an electronic device, including a bus 1201, a transceiver 1202, an antenna 1203, a bus interface 1204, a processor 1205, and a memory 1206.

[0163] In this embodiment, the electronic device further includes a computer program stored in the memory 1206 and executable on the processor 1205. When executed by the processor 1205, the computer program can perform the following functions: Figure 1 The various processes of the method shown in the embodiments can achieve the same technical effect, and will not be described again here to avoid repetition.

[0164] exist Figure 12 In this document, a bus architecture (represented by bus 1201) is used. Bus 1201 may include any number of interconnected buses and bridges, linking various circuits including one or more processors represented by processor 1205 and memory represented by memory 1206. Bus 1201 may also link various other circuits such as peripheral devices, voltage regulators, and power management circuits, which are well known in the art and therefore will not be described further herein. Bus interface 1204 provides an interface between bus 1201 and transceiver 1202. Transceiver 1202 may be a single element or multiple elements, such as multiple receivers and transmitters, providing a unit for communicating with various other devices over a transmission medium. Data processed by processor 1205 is transmitted over a wireless medium via antenna 1203, which further receives data and transmits it to processor 1205.

[0165] Processor 1205 is responsible for managing bus 1201 and general processing, and can also provide various functions, including timing, peripheral interface, voltage regulation, power management, and other control functions. Memory 1206 can be used to store data used by processor 1205 during operation.

[0166] This application also provides a computer-readable storage medium storing a computer program. When executed by a processor, this computer program implements the various processes of the above-described ringback tone sending method or ringback tone setting method embodiments, and achieves the same technical effect. To avoid repetition, it will not be described again here. The computer-readable storage medium may be, for example, ROM, RAM, magnetic disk, or optical disk.

[0167] This application also provides a computer program product, including computer instructions, which, when executed by a processor, implement the above-described... Figure 1 The various processes of the method embodiments shown can achieve the same technical effect, and will not be described again here to avoid repetition.

[0168] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

[0169] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods of the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms. Of course, they can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes several instructions to cause a terminal (which may be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods described in the various embodiments of this application.

[0170] The embodiments of this application have been described above with reference to the accompanying drawings. However, this application is not limited to the specific embodiments described above. The specific embodiments described above are merely illustrative and not restrictive. Those skilled in the art can make many other forms under the guidance of this application without departing from the spirit and scope of the claims, and all of these forms are within the protection scope of this application.

Claims

1. A method for determining the operation strategy of an integrated energy system, characterized in that, The method includes: Obtain system information of the target energy system and historical load demand of the area supplied by the target energy system; Based on the system information and the historical load demand, the first load demand curve of the target energy system is determined; Based on the system information, construct the output model corresponding to each of the energy devices in the target energy system; Output simulation is performed based on the output models corresponding to each of the energy devices and the first load demand curve. Based on the results of the output simulation, the operation strategies corresponding to each of the energy devices are obtained. The operation strategies include target output data obtained based on the results of the output simulation.

2. The method as described in claim 1, characterized in that, The step of performing output simulation based on the output models corresponding to each of the energy devices and the first load demand curve, and obtaining the operating strategies corresponding to each of the energy devices based on the results of the output simulation, includes: The first output simulation is performed based on the output model corresponding to each of the energy devices and the first load demand curve, and the working capacity corresponding to the energy storage device is obtained from the result of the first output simulation. The first output simulation is performed by sequentially calling the output model of the energy devices according to the first preset calling logic to simulate the output of the first load demand curve. Based on the working capacity, the output models corresponding to each of the energy devices, and the first load demand curve, a second output simulation is performed, and the output data corresponding to each of the energy devices is obtained from the results of the second output simulation. The second output simulation is performed by, after the energy storage device arranges its output according to the working capacity, sequentially calling the output models of the energy devices according to the second preset calling logic to simulate the output of the first load demand curve. The output data corresponding to each of the energy devices obtained from the second output simulation are determined as the target output data.

3. The method as described in claim 2, characterized in that, The target energy system includes the following types of energy equipment: new energy equipment, energy storage equipment, adjustable output equipment, and non-adjustable output equipment; The first preset invocation logic includes: sequentially invoking the new energy equipment, the non-adjustable output equipment, the adjustable output equipment, and the energy storage equipment to output power; The second preset invocation logic includes: sequentially invoking the new energy equipment, the non-adjustable power output equipment, and the adjustable power output equipment to generate power.

4. The method according to any one of claims 1 to 3, characterized in that, The process of determining the first load demand curve of the target energy system based on the system information and the historical load demand includes: The historical load demand is statistically analyzed to obtain the historical load demand curve; Based on the historical load demand curve and the preset reserve parameters, a second load demand curve is determined; Based on the second load demand curve and the system information, the maintenance period for each energy device in the target energy system is determined; The second load demand curve is updated based on the maintenance period of each energy device in the target energy system to obtain the first load demand curve.

5. The method as described in claim 4, characterized in that, The step of determining the second load demand curve based on the historical load demand curve and preset reserve parameters includes: Obtain the maximum load corresponding to the target time period in the historical load demand curve, wherein the target time period is any time period in the historical load demand curve; Based on the maximum load and the preset reserve parameters, determine the reserve capacity corresponding to the target time period; The reserve capacity is superimposed with the historical load demand curve for the target time period to obtain the target load demand curve for the target time period; The second load demand curve is obtained based on the target load demand curve corresponding to each target time period in the historical load demand curve.

6. The method as described in claim 4, characterized in that, The determination of the maintenance period for each energy device in the target energy system based on the second load demand curve and the system information includes: Based on the system information, the maintenance time of the target equipment is determined, wherein the target equipment is any equipment in the target energy system; The second load demand curve is used to identify available maintenance periods with spare capacity. Based on the maintenance time, a target maintenance period is determined from the available maintenance periods for the maintenance of the target equipment, wherein the duration of the target maintenance period is consistent with the maintenance time, and the total load demand within the target maintenance period is minimized.

7. A device for determining the operation strategy of an integrated energy system, characterized in that, The device includes: The first acquisition module is used to acquire system information of the target energy system and historical load demand of the power supply area of ​​the target energy system. The first determining module is used to determine the first load demand curve of the target energy system based on the system information and the historical load demand; The model building module is used to build output models for each of the energy devices in the target energy system based on the system information. The output simulation module is used to perform output simulation based on the output models corresponding to each of the energy devices and the first load demand curve, and to obtain the operating strategies corresponding to each of the energy devices according to the results of the output simulation, wherein the operating strategies include target output data obtained according to the results of the output simulation.

8. An electronic device, characterized in that, include: A processor, a memory, and a program stored in the memory and executable on the processor, wherein the program, when executed by the processor, implements the steps of the method for determining the operating strategy of the integrated energy system as described in any one of claims 1 to 6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a computer program that, when executed by a processor, implements the steps of the method for determining the operating strategy of the integrated energy system as described in any one of claims 1 to 6.

10. A computer program product, characterized in that, It includes computer instructions, which, when executed by a processor, implement the steps of determining the operating strategy of the integrated energy system as described in any one of claims 1 to 6.

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