Optimized scheduling method, device and equipment for comprehensive energy system of agricultural and pastoral park, and medium

Abstract

The invention discloses an optimal scheduling method, device and equipment for an agricultural and pastoral integrated energy system and a medium. The method comprises the steps that loads in the agricultural and pastoral integrated energy system are divided into a basic load, a translational load, a reducible load and a transferable load; determining the corresponding compensation cost when various types of loads participate in the demand response and the total carbon transaction cost corresponding to the comprehensive energy system of the agricultural and pastoral park; determining an objective function based on the compensation cost and the total carbon transaction cost, and determining a scheduling constraint model and a biomass biogas power generation model corresponding to the comprehensive energy system of the agricultural and pastoral park; and under the constraint of the scheduling constraint model, optimizing the target function according to the biomass biogas power generation model so as to determine an optimized scheduling scheme. According to the technical scheme of the embodiment of the invention, the problem that a traditional energy scheduling mode is not suitable for the comprehensive energy system of the agricultural and pastoral park is solved, the optimization scheduling model is established by considering biomass power generation, and reasonable optimization scheduling and carbon emission reduction are realized.

Description

Technical Field

[0001] The present invention relates to the technical field of energy optimization and scheduling, and in particular to a method, device, equipment and medium for optimizing and scheduling an integrated energy system in an agricultural and pastoral park. Background Art

[0002] As the reserves of traditional fossil fuels, such as oil, coal, and natural gas, continue to decrease, while the social economy continues to develop, the demand for energy is increasing, and the huge pressure of environmental degradation, new energy has been put in a more important position. New energy refers to new ways of using energy, including wind power, solar energy, biomass energy, etc., and new energy formed by technological changes in traditional energy, such as coalbed methane and coal-to-natural gas. The new energy industry has the advantages of low resource consumption, high cleanliness, large potential market, strong driving ability, and good comprehensive benefits. It is becoming a dynamic and most promising strategic emerging industry.

[0003] Agriculture and animal husbandry are important parts of the economy and are also one of the important sources of greenhouse gas emissions. Carbon emissions from agriculture and animal husbandry account for a relatively high proportion. Therefore, research on energy conservation and carbon reduction in agricultural and animal husbandry parks is of great significance to achieving global goals.

[0004] Integrated Energy System (IES) refers to an integrated energy production, supply and consumption system formed by organically coordinating and optimizing the generation, transmission and distribution (energy supply network), conversion, storage, consumption and trading of various energy sources during the planning, construction and operation process. How to resolve the contradiction between the increase in energy demand and energy shortage, energy utilization and environmental protection, and ensure the sustainable development of human society is the focus of common concern in all regions of the world.

[0005] The structure of the integrated energy system of agricultural and animal husbandry parks is quite complex, covering various types of energy subsystems with different characteristics. Based on this, it is impractical to directly apply the traditional energy system model to the integrated energy system of agriculture and animal husbandry. At present, it is urgent to develop a series of key technologies to cope with and solve the practical challenges faced by the integrated energy system of agriculture and animal husbandry. Summary of the invention

[0006] The present invention provides a method, device, equipment and medium for optimizing and scheduling the comprehensive energy system of an agricultural and pastoral park, so as to realize reasonable optimization and scheduling of the comprehensive energy system of an agricultural and pastoral park, and reduce scheduling costs and carbon emissions.

[0007] According to one aspect of the present invention, a method for optimizing and scheduling an integrated energy system in an agricultural and pastoral park is provided, comprising:

[0008] The loads in the integrated energy system of the agricultural and pastoral park are divided into basic loads, shiftable loads, reducible loads and transferable loads;

[0009] Determine the compensation costs corresponding to various types of loads participating in demand response, as well as the total carbon trading cost corresponding to the comprehensive energy system of the agricultural and pastoral park;

[0010] Determine the objective function based on the compensation cost and the total carbon trading cost, and determine the scheduling constraint model and biomass methane power generation model corresponding to the agricultural and pastoral park comprehensive energy system;

[0011] Under the constraints of the scheduling constraint model, the objective function is optimized according to the biomass methane power generation model to determine the optimal scheduling plan corresponding to the comprehensive energy system of the agricultural and pastoral park.

[0012] In a possible implementation, determining the corresponding compensation costs when various types of loads participate in demand response includes:

[0013] The power distribution vector corresponding to the shiftable load when participating in the demand response is determined, and the compensation cost of the shiftable load is determined based on the power distribution vector and the unit power compensation cost of the load shift.

[0014] In a possible implementation, determining the corresponding compensation costs when various types of loads participate in demand response includes:

[0015] A curtailable power model and a curtailment constraint model corresponding to the curtailable load are determined, and a curtailable load compensation cost is determined based on the curtailable power model, the curtailment constraint model and the curtailed load unit power compensation price.

[0016] In a possible implementation, determining the corresponding compensation costs when various types of loads participate in demand response includes:

[0017] Determine a transferable load power constraint model and a continuous operation minimum time constraint model corresponding to the transferable load;

[0018] Based on the transferable load power constraint model, the continuous operation minimum time constraint model and the transfer load unit power compensation cost, the transferable load compensation cost is determined.

[0019] In one possible implementation method, the total carbon trading cost corresponding to the integrated energy system of the agricultural and pastoral park is determined, including:

[0020] Determine the carbon emission model corresponding to the comprehensive energy system of the agricultural and pastoral park, and determine the total cost of carbon trading based on the carbon emission model.

[0021] In a possible implementation, the dispatch constraint model includes: biomass power generation biogas consumption constraint and ramp constraint, power network power balance constraint, system power boundary constraint, battery constraint and heat network constraint.

[0022] In a possible implementation, under the constraints of the scheduling constraint model, the objective function is optimized according to the biomass biogas power generation model to determine the optimal scheduling scheme corresponding to the integrated energy system of the agricultural and pastoral park, including:

[0023] Under the constraints of the scheduling constraint model, according to the biomass methane power generation model, the output of various energy sources in the comprehensive energy system of the agricultural and animal husbandry park is determined with the minimum of the objective function as the optimization goal.

[0024] According to another aspect of the present invention, there is provided an optimization and scheduling device for an integrated energy system in an agricultural and pastoral park, comprising:

[0025] The load division module is used to divide the load in the integrated energy system of the agricultural and pastoral park into basic load, shiftable load, reducible load and transferable load;

[0026] A cost determination module, used to determine the corresponding compensation costs when various types of loads participate in demand response, and the total carbon trading cost corresponding to the agricultural and pastoral park integrated energy system;

[0027] An objective function and constraint determination module, used to determine an objective function based on the compensation cost and the total cost of carbon trading, and determine a scheduling constraint model and a biomass methane power generation model corresponding to the agricultural and pastoral park integrated energy system;

[0028] The optimization scheduling module is used to optimize the objective function according to the biomass methane power generation model under the constraints of the scheduling constraint model to determine the optimal scheduling plan corresponding to the comprehensive energy system of the agricultural and pastoral park.

[0029] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0030] at least one processor;

[0031] and a memory communicatively connected to the at least one processor; wherein,

[0032] The memory stores a computer program that can be executed by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the method for optimizing and scheduling the integrated energy system of the agricultural and pastoral park described in any embodiment of the present invention.

[0033] According to another aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the method for optimizing and scheduling the integrated energy system of an agricultural and pastoral park described in any embodiment of the present invention when executed.

[0034] The technical solution of the embodiment of the present invention includes: dividing the loads in the integrated energy system of the agricultural and pastoral park into basic loads, shiftable loads, reducible loads and transferable loads; determining the compensation costs corresponding to various types of loads participating in demand response, and the total carbon trading cost corresponding to the integrated energy system of the agricultural and pastoral park; determining the objective function based on the compensation cost and the total carbon trading cost, and determining the scheduling constraint model and biomass biogas power generation model corresponding to the integrated energy system of the agricultural and pastoral park; under the constraints of the scheduling constraint model, optimizing the objective function according to the biomass biogas power generation model to determine the optimal scheduling plan. The technical solution of the embodiment of the present invention takes biomass power generation into consideration to establish an optimal scheduling model, and then schedules the integrated energy system of the agricultural and pastoral park; solves the problem that the traditional energy scheduling method is not suitable for the integrated energy system of the agricultural and pastoral park, realizes the reasonable optimization scheduling of the integrated energy system of the agricultural and pastoral park, and reduces the scheduling cost and carbon emissions.

[0035] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0036] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0037] Figure 1 A flowchart of a method for optimizing and scheduling an integrated energy system in an agricultural and pastoral park provided in Embodiment 1 of the present invention;

[0038] Figure 2 The wind and solar power generation and park electricity and heat load forecast diagram provided in the first embodiment of the present invention;

[0039] Figure 3 A time-of-use electricity price diagram provided in the first embodiment of the present invention;

[0040] Figure 4 A user-side flexible electric load distribution diagram before optimization provided in the first embodiment of the present invention;

[0041] Figure 5A user-side flexible heat load distribution diagram before optimization provided in the first embodiment of the present invention;

[0042] Figure 6 The electric load curve before and after the demand response provided in the first embodiment of the present invention;

[0043] Figure 7 The heat load curve before and after the demand response provided in the first embodiment of the present invention;

[0044] Figure 8 This is a diagram of the power output of the park after optimization provided in the first embodiment of the present invention;

[0045] Fig. 9 This is a diagram of the thermal energy output of the park after optimization provided in the first embodiment of the present invention;

[0046] Fig.10 This is a diagram of the power output of the park after optimization provided in the first embodiment of the present invention;

[0047] Fig.11 A flowchart of a method for optimizing and scheduling an integrated energy system in an agricultural and pastoral park provided in Embodiment 2 of the present invention;

[0048] Fig.12 A schematic diagram of the structure of an optimized dispatching device for an integrated energy system in an agricultural and pastoral park provided in Embodiment 3 of the present invention;

[0049] Fig.13 This is a schematic diagram of the structure of an electronic device provided in Embodiment 4 of the present invention. DETAILED DESCRIPTION

[0050] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0051] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0052] Embodiment 1

[0053] Figure 1 This is a flow chart of a method for optimizing and scheduling an integrated energy system in an agricultural and pastoral area provided in the first embodiment of the present invention. This embodiment can be applied to optimizing and scheduling an integrated energy system in an agricultural and pastoral area to achieve energy conservation and emission reduction. This method can be executed by an optimized scheduling device for an integrated energy system in an agricultural and pastoral area. The device can be implemented in the form of hardware and / or software, and the device can be configured in an electronic device. Figure 1 As shown, the method specifically comprises the following steps:

[0054] S110. Divide the loads in the integrated energy system of the agricultural and pastoral park into basic loads, shiftable loads, reducible loads and transferable loads.

[0055] It should be noted that the integrated energy system of the agricultural and pastoral park in the embodiment of the present invention is an integrated system that takes the agricultural and pastoral park as a specific geographical scope, integrates multiple energy subsystems such as electricity, heat, cold, natural gas, etc., realizes the coordinated complementarity and optimal utilization of energy, and pays more attention to the utilization of renewable energy and biomass energy, such as solar energy, wind energy, crop waste, animal manure, etc., energy conversion and storage, and energy supply is more flexible and diverse to meet the energy needs of agricultural and pastoral parks in different seasons and weather conditions. The traditional integrated energy system has a more diversified energy structure, including fossil fuels, nuclear energy, renewable energy, etc.; the energy supply is relatively stable, but it may be more dependent on traditional energy such as fossil fuels.

[0056] Among them, the basic load is the load that must be continuously supplied in the integrated energy system of the agricultural and pastoral park. No matter how the external conditions change, this part of the load is relatively fixed and cannot be adjusted, representing the basic energy demand of the park. Shiftable loads have a certain flexibility in time and can be shifted in different time periods without affecting their core functions. For example, certain processing or manufacturing activities during non-peak hours can be adjusted to peak and valley hours to balance the load. Reducible loads can be partially or completely cut to reduce the total load demand of the system. Transferable loads can be transferred from one time period to another.

[0057] S120. Determine the compensation costs corresponding to various types of loads participating in demand response, as well as the total carbon trading cost corresponding to the agricultural and pastoral park integrated energy system.

[0058] It should be understood that when a certain type of load participates in demand response, such as shifting, reduction or transfer, certain costs may be incurred for users, namely compensation costs. The total cost of carbon trading refers to the cost incurred when the integrated energy system of the agricultural and pastoral park involves trading or offsetting carbon emissions, such as purchasing carbon emission rights, participating in carbon market transactions or implementing carbon reduction projects.

[0059] S130. Determine an objective function based on the compensation cost and the total carbon trading cost, and determine a scheduling constraint model and a biomass methane power generation model corresponding to the agricultural and pastoral park integrated energy system.

[0060] Among them, the objective function is used to describe the goal of optimizing scheduling. In practical applications, the objective function can be to minimize the total cost, that is, the sum of the compensation cost and the total cost of carbon trading is minimized, while meeting the energy demand of the system. The scheduling constraint model is used to constrain the scheduling of the integrated energy system of the agricultural and pastoral park. The biomass biogas power generation model refers to the mathematical model corresponding to the biomass biogas power generation process in the agricultural and pastoral park.

[0061] S140. Under the constraints of the scheduling constraint model, the objective function is optimized according to the biomass biogas power generation model to determine the optimal scheduling plan corresponding to the comprehensive energy system of the agricultural and pastoral park.

[0062] Specifically, mathematical optimization methods can be used to solve the objective function, and the optimal solution can be found under the premise of satisfying all constraints, so as to obtain the optimal scheduling plan. Among them, the optimal scheduling plan describes how to schedule various loads and energy resources to meet the needs of the system while minimizing the total cost. It should also be noted that biomass biogas power generation needs to be considered during optimization.

[0063] On the basis of the above technical scheme, under the constraints of the scheduling constraint model, the objective function is optimized according to the biomass biogas power generation model to determine the optimal scheduling scheme corresponding to the integrated energy system of the agricultural and pastoral park, including: under the constraints of the scheduling constraint model, according to the biomass biogas power generation model, taking the minimization of the objective function as the optimization goal, determining the output of various energy sources in the integrated energy system of the agricultural and pastoral park.

[0064] In the embodiment of the present invention, the best scheduling scheme is found through mathematical optimization methods to achieve economic, efficient and sustainable operation of the integrated energy system of the agricultural and pastoral park, including, for example, determining when and where to use which energy resources, and how to adjust the load to meet system needs and reduce costs.

[0065] Case study of optimization scheduling strategy of integrated energy system in agricultural and pastoral areas considering biomass power generation:

[0066] The present invention takes the comprehensive energy system of a certain agricultural and pastoral park as the research object, with an optimization scheduling cycle of 1 day and a time interval of 1 hour. Two scenarios are set for comparative analysis: scenario one: multi-energy collaborative optimization considering the participation of flexible loads; scenario two: multi-energy collaborative optimization without considering the participation of flexible loads in the park.

[0067] in, Figure 2 The wind and solar power generation and park electricity and heat load forecast diagram provided in the first embodiment of the present invention; Figure 3 A time-of-use electricity price diagram provided in the first embodiment of the present invention; Figure 4 A user-side flexible electric load distribution diagram before optimization provided in the first embodiment of the present invention; Figure 5 A user-side flexible heat load distribution diagram before optimization provided in the first embodiment of the present invention; Figure 6 The electric load curve before and after the demand response provided in the first embodiment of the present invention; Figure 7 This is a heat load curve before and after demand response provided in Example 1 of the present invention. Figure 8 This is a diagram of the power output of the park after optimization provided in the first embodiment of the present invention; Fig. 9 This is a diagram of the thermal energy output of the park after optimization provided in the first embodiment of the present invention; Fig.10 This is a diagram of the power output of the park after optimization provided in Example 1 of the present invention.

[0068] The main equipment parameters of the agricultural and pastoral park are shown in Table 1, the main parameters of the flexible load are shown in Table 2, and the time-of-use electricity price is shown in Table 3. Figure 3 As shown; wind, solar power generation and park electricity and heat load forecasts are as follows Figure 2 As shown in the figure, the electricity and heat loads before optimal scheduling are as follows: Figure 4 , Figure 5As shown. The minimum duration of the transferable load is 2h, the power range is 8-26.7kW, the transfer period is 04:00-22:00, and the compensation price is 0.3 yuan / kWh; the minimum duration of the electric and thermal loads that can be reduced is 2h, the maximum duration is 5h, the maximum reduction number is 8 times, and the compensation prices are 0.4 and 0.2 yuan / kWh respectively. The SOC boundary of the energy storage system is 0.4-0.95, the self-discharge loss coefficient is 0.001, and the charge and discharge times are constrained to 8 times.

[0069] Table 1

[0070]

[0071] Table 2

[0072]

[0073] Table 3

[0074]

[0075] The cost of the comprehensive energy system of the agricultural and pastoral park under the two scenarios is shown in Table 4. As can be seen from Table 4, compared with scenario 2, the total operation cost of the park in scenario 1 is reduced by 6.93%. After the optimized scheduling strategy of the agricultural and pastoral park proposed in this paper, the peak-to-valley difference of the net load of electricity and heat in the park is reduced by 34.8% and 46% respectively, which effectively reduces the system operation cost, realizes the load time transfer, and relieves the pressure of the energy system of the park.

[0076] Table 4

[0077]

[0078] Comparison of the distribution of electric energy and thermal energy loads before and after dispatch in agricultural and pastoral park scenario 1 Figure 6 , Figure 7 As shown, it can be seen from the graphical information that compared with the system electric and thermal load conditions before optimization, after adopting the collaborative optimization technology, the system successfully transferred the load during the high-price period to the low-price period, thereby making the load curve smoother and effectively playing a role in peak shaving and valley filling.

[0079] After optimization, the output of electricity and heat energy in the park is as follows: Figure 8 , Fig. 9 As shown in the figure, the system load is mainly powered by renewable energy and biogas power generation, supplemented by power purchase from the power grid. During periods of abundant wind and solar resources, battery charging increases the utilization rate of renewable energy; while during peak power consumption periods, battery discharge reduces power supply pressure. Biogas power generation not only helps reduce emissions, but also reduces the power impact of the power grid during periods of insufficient wind and solar power and peak power consumption.

[0080] In terms of heat load, power dispatching gives priority to using the boiler heat recovery system output, supplemented by heat storage tanks and biogas boilers. During the low heat load period, the heat storage tank stores excess heat energy and releases it during peak hours to achieve peak load reduction and valley filling. Fig.10 In scenario 2, the phenomenon of wind and solar power abandonment is more obvious during the valley and normal periods of electricity prices; while scenario 1 significantly improves the absorption capacity of new energy, resulting in the power grid purchasing electricity far lower than scenario 2, indicating that the strategy proposed in this paper effectively reduces system carbon emissions, reduces electricity purchase costs, and achieves optimal utilization of park energy.

[0081] In view of the problems of low efficiency and high cost in the energy utilization mode of agricultural and pastoral parks, the present invention proposes an optimization scheduling strategy for the comprehensive energy system of agricultural and pastoral parks considering biomass power generation, and draws the following conclusions based on comparisons based on two typical scenarios: Compared with the traditional optimization mode, the total operating cost of agricultural and pastoral parks with the strategy proposed by the present invention is reduced by 6.93%, effectively realizing the energy saving and carbon reduction effect of biomass power generation, and also reducing the power impact of the power grid during insufficient wind and solar power and peak electricity consumption. Through the optimization scheduling strategy for agricultural and pastoral parks proposed by the present invention, the peak-to-valley difference of the net electricity and heat loads in the park is reduced by 34.8% and 46% respectively, effectively reducing the operating cost of the system, realizing load period transfer, and alleviating the pressure on the energy system of the park. Through a period of practical application on site and the analysis of cases, all the required functions and requirements are basically realized, and the expected design goals are achieved.

[0082] The technical solution of the embodiment of the present invention includes: dividing the loads in the integrated energy system of the agricultural and pastoral park into basic loads, shiftable loads, reducible loads and transferable loads; determining the compensation costs corresponding to various types of loads participating in demand response, and the total carbon trading cost corresponding to the integrated energy system of the agricultural and pastoral park; determining the objective function based on the compensation cost and the total carbon trading cost, and determining the scheduling constraint model and biomass biogas power generation model corresponding to the integrated energy system of the agricultural and pastoral park; under the constraints of the scheduling constraint model, optimizing the objective function according to the biomass biogas power generation model to determine the optimal scheduling plan. The technical solution of the embodiment of the present invention takes biomass power generation into consideration to establish an optimal scheduling model, and then schedules the integrated energy system of the agricultural and pastoral park; solves the problem that the traditional energy scheduling method is not suitable for the integrated energy system of the agricultural and pastoral park, realizes the reasonable optimization scheduling of the integrated energy system of the agricultural and pastoral park, and reduces the scheduling cost and carbon emissions.

[0083] Embodiment 2

[0084] Fig.11This is a flowchart of a method for optimizing the dispatching of an integrated energy system in an agricultural and pastoral area provided in Example 2 of the present invention. Based on the above-mentioned example, this example further specifies the establishment process of each model and the optimization dispatching process. The specific implementation method can refer to the technical solution of this example. The technical terms that are the same or corresponding to the above-mentioned example are not repeated here. Fig.11 As shown, the method specifically comprises the following steps:

[0085] S210. Divide the loads in the integrated energy system of the agricultural and pastoral park into basic loads, shiftable loads, reducible loads and transferable loads.

[0086] The integrated energy system of agricultural and pastoral parks divides user loads into four categories: basic load, shiftable load, reducible load and transferable load according to the way the load participates in demand response.

[0087] The basic load refers to the lowest point in the load change curve of each time period of the comprehensive energy system of the agricultural and pastoral area within a certain period of time, which usually occurs in the early morning or late at night. It is mainly composed of lighting, household appliances, and continuous loads of agricultural and animal husbandry production. Its size reflects the basic electricity demand level of the agricultural and pastoral area, and the changes are relatively stable, generally accounting for about 30% of the total daily load. The power system needs to ensure a stable power supply for the basic load to maintain normal social and economic activities. In the embodiment of the present invention, the shiftable load, the reducible load, and the transferable load are mainly considered when calculating the compensation cost.

[0088] S220. Determine a power distribution vector corresponding to the shiftable load when the shiftable load participates in demand response, and determine a compensation cost for the shiftable load based on the power distribution vector and the unit power compensation cost for load shifting.

[0089] It is understandable that a shiftable load refers to a load whose power supply time can be changed according to plan. This type of load is highly controllable. Although the load power supply time changes, the total power supply remains unchanged. It mainly includes washing machines, disinfection cabinets, etc. For example, if you originally planned to use the disinfection cabinet at 7 pm, it doesn’t matter if you postpone it for a few hours, and it does not affect the comfort at all. The characteristic of a shiftable load is that its power consumption time can be flexibly adjusted, while the power and total power required during the power consumption period remain unchanged. This load characteristic allows the power system to optimize the operation of the power grid and reduce the cost of power grid operation by adjusting its power consumption time.

[0090] Assuming the unit dispatch period is 1 hour, for a certain shiftable load P k , its power distribution vector before scheduling The model looks like this:

[0091]

[0092] In the formula, ts is the initial time, t d For duration.

[0093] Assume that the shiftable time interval is [t a ,t b ], because the whole translation is required, P should be considered k The starting and duration of g are represented by a binary 0-1 variable s, which represents the translation state of g during a period of time. When s is 1, it means P k Starting from time period g; when s is 0, it means load P k Without translation, the set S of the starting period k The model looks like this:

[0094] Sk=[ta,tb-td+1]∪{ts}

[0095] If g = t s , the load does not change; if g∈[ta,tb-td+1] and g≠ts, then From the start time t s Translate to P with starting time g k The power distribution vector is:

[0096]

[0097] The cost of compensating the park after translation Q k The model looks like this:

[0098]

[0099] In the formula, The unit power compensation price for load shifting; is the total electrical power consumption.

[0100] Specifically, the translatable load compensation cost may be calculated based on the translatable load compensation model.

[0101] S230: Determine a curtailable power model and a curtailment constraint model corresponding to the curtailable load, and determine a curtailable load compensation cost based on the curtailable power model, the curtailment constraint model and the curtailed load unit power compensation price.

[0102] Curtailable load refers to the load that can be used to reduce electricity consumption as needed. There are many types of such load resources, including price-based demand responses such as time-of-use electricity prices, real-time electricity prices, and peak electricity prices, as well as incentive-based demand responses such as emergency demand response, demand-side bidding, and capacity markets / ancillary services. The characteristic of curtailable load is that it is only sensitive to electricity prices or incentive rewards in a single period of time, but cannot be transferred to other electricity consumption periods. By implementing demand response measures, the power system can guide users to actively reduce electricity load, thereby alleviating the pressure on the power grid and improving the efficiency of power grid operation.

[0103] The binary 0-1 variable j represents the load that can be reduced P x In the curtailment state of time period g, when j is 1, it means that the curtailable load is curtailed in this period, and the corresponding curtailable power model is as follows:

[0104]

[0105] In the formula, is the coefficient related to load reduction; This is the power before the load is cut.

[0106] Considering the satisfaction of users and loads in the park, the reduction constraint model is established as follows:

[0107]

[0108] The load compensation model can be reduced as follows:

[0109]

[0110] In the formula, The shortest continuous reduction time; is the longest continuous reduction time; Nmax is the maximum number of reductions; In order to reduce the unit power compensation price of the load, Qx is the load compensation price that can be reduced.

[0111] Specifically, the reducible load compensation cost may be calculated based on the reducible load compensation model.

[0112] S240: Determine a transferable load power constraint model and a continuous operation minimum time constraint model corresponding to the transferable load.

[0113] Transferable load refers to a type of load whose power consumption can be transferred between time intervals and whose total power consumption is stable. The power consumption period of this type of load can be flexibly adjusted, as long as the total load of the entire cycle before and after the transfer remains unchanged. For example, electric vehicles are typical transferable loads. In the orderly charging mode, the charging time and charging power of electric vehicles can be adjusted, but the total charging amount required remains unchanged. The characteristic of transferable loads is that their power consumption period and power consumption can be flexibly adjusted, which enables the power system to reduce the power grid operation cost and improve the economy of the power grid by optimizing its power consumption period and power consumption.

[0114] Assume that the transferable load P z The transfer time period is [t e ,t f ], a binary 0-1 variable h is used to represent the transfer status of the transferable load in the time period g. When it is 1, it means that the transferable load is transferred in this period. The corresponding transferable load power constraint model is as follows:

[0115]

[0116] In the formula, are the maximum and minimum transferable load powers respectively.

[0117] In order to avoid frequent start and stop of the transfer load, the minimum continuous operation time constraint model of the transfer load is established as follows:

[0118]

[0119] In the formula, The shortest continuous operation time.

[0120] S250. Determine the transferable load compensation cost based on the transferable load power constraint model, the continuous operation minimum time constraint model and the transfer load unit power compensation cost.

[0121] It is necessary to consider the satisfaction of users and load terminals in the park and establish a transferable load compensation model as follows:

[0122]

[0123] In the formula, The transferable load compensation price per unit power can be determined based on the transferable load compensation model.

[0124] S260. Determine the carbon emission model corresponding to the comprehensive energy system of the agricultural and pastoral park, and determine the total cost of carbon trading based on the carbon emission model.

[0125] The carbon trading mechanism in agricultural and pastoral parks refers to a mechanism that reduces carbon emissions or increases carbon absorption by implementing a series of low-carbon agricultural and pastoral practices (such as improving soil management, promoting organic farming, increasing vegetation cover, etc.). These reduced emissions or increased absorption are converted into carbon credits after scientific measurement and certification, and then traded in the market.

[0126] The carbon trading cost model of the integrated energy system of the agricultural and pastoral park is established based on the carbon trading mechanism as follows:

[0127]

[0128] Where Qcc is the total cost of carbon trading. When its value is positive, it means that the carbon emissions exceed the limit and carbon emission quotas must be purchased. When its value is negative, it means that the carbon emission quotas are sold to obtain income. is the daily carbon trading market price; Lcp is the total carbon emissions; Lcp is the total carbon emission quota.

[0129] The carbon emissions model is as follows:

[0130]

[0131] Where, Ω is the energy equipment set of the agricultural and pastoral park; l i,sy is the carbon emission coefficient of the energy production and transportation stage corresponding to the i-th equipment; li,s is the carbon emission coefficient of the equipment in the use stage; Pi is the output of the equipment.

[0132] Specifically, the total cost of carbon trading can be calculated based on the carbon trading cost model.

[0133] S270. Determine the objective function based on the compensation cost and the total carbon trading cost, and determine the scheduling constraint model and biomass methane power generation model corresponding to the agricultural and pastoral park comprehensive energy system.

[0134] Specifically, an optimization scheduling objective function model is established:

[0135] minQ=Q DG +Qnet+Q HST +Qbat+Qsw+Q L

[0136] Where, is the total operating cost of the integrated energy system of the agricultural and pastoral park; Q DG is the operating cost of distributed power generation; Q net The cost of purchasing electricity from the power grid; Q sw is the operating cost of the biogas boiler; Q HST , Q bat are the depreciation costs of the heat storage tank and battery respectively; Q L Compensation costs for park load optimization.

[0137]

[0138] QL=Qk+Qx+Qz

[0139] Where T is the optimal scheduling period; Vw, V pv and V sw are the operating cost coefficients of wind power generation, photovoltaic power generation and biogas boiler respectively; V b The price of electricity purchased by the park from the higher-level power grid; V HST 、V bat are the depreciation factors of the heat storage tank and battery respectively; are wind power generation and photovoltaic power generation respectively; It is the power exchanged between the park and the power grid. A positive value indicates that the park purchases electricity from the power grid. is the thermal power of the heat storage tank, and a positive value indicates heat absorption; is the battery power, a positive value indicates charging.

[0140] Specifically, a biomass biogas power generation model is established:

[0141]

[0142] In the formula, is the biogas power generation power; L HV is the calorific value of biogas; Amount of biogas used for power generation; η sw For biogas power generation efficiency.

[0143] Similarly, the heat generation model of the biogas power generation system is:

[0144]

[0145] In the formula, It is the start and stop variable of the biogas boiler; Where is the biogas boiler efficiency.

[0146] In a possible implementation, the dispatch constraint model includes: biomass power generation biogas consumption constraint and ramp constraint, power network power balance constraint, system power boundary constraint, battery constraint and heat network constraint.

[0147] Specifically, there are many types of equipment in the integrated energy system of the agricultural and pastoral park. In order to facilitate analysis during the optimization and scheduling operation, the constraints are divided into the following categories:

[0148] (1) Constraints on biogas consumption and ramping in biomass power generation

[0149]

[0150] In the formula, are the maximum and minimum gas consumption respectively; β is the operating power factor angle of the biogas generator; is the reactive power of the biogas generator; is the capacity of biogas generator; is the maximum climbing power of the biogas generator; It is the maximum climbing amount of the burning swamp.

[0151] (2) Power balance constraints of power grid

[0152] P w +P pv +P net +P sw =P f +P bat

[0153] P f =P base +P L

[0154] Where, P w , P pv are wind power generation and photovoltaic power generation respectively; P net P is the power exchanged between the park and the power grid. A positive value indicates that the park purchases electricity from the power grid. f is the total load of the agricultural and pastoral park; P base It is the basic load of the agricultural and pastoral park and does not participate in the dispatch; P L For adjustable load.

[0155] (3) System power boundary constraints

[0156]

[0157] In the formula, They are wind power and photovoltaic power forecast output respectively; They are the power exchange boundaries between the park and the power grid; is the rated output power of the biogas boiler; are the battery charging and discharging power boundaries respectively.

[0158] (4) Battery constraints

[0159] The state of charge of the energy storage system cannot exceed its boundaries, and for the sustainable operation of the system, its state of charge should be consistent before and after the scheduling cycle. The constraint model is established as follows:

[0160] SOC min ≤SOC t ≤SOC max

[0161] SOC 0 =SOC end

[0162] The energy storage system cannot be in the charging and discharging state at the same time, so the 0-1 variable X is used to establish the following constraints:

[0163] X ch ×X dis =0

[0164] In the formula, X ch When it is 1, it means the energy storage system is in charging state. dis When it is 1, it indicates that the energy storage system is in the discharging state.

[0165] (5) Thermal network constraints

[0166] R sw =R f +R HST

[0167] R f =R base +R L

[0168]

[0169] In the formula, R sw Represents the heat generation power of biogas; R HST Represents the heat storage tank power; R f is the total heat load of the agricultural and pastoral area; is the rated thermal power of the biogas boiler; are the charging and discharging power boundaries of the heat storage tank respectively.

[0170] Similarly, in order to ensure the sustainable operation of the system, the heat of the heat storage tank is kept consistent before and after the scheduling cycle. The constraint model is established as follows. The heat storage tank cannot be in the state of charging and discharging heat at the same time. Therefore, the 0-1 variable Y is used to establish the following constraints:

[0171]

[0172] Y ch ×Y dis =0

[0173] Where Y ch When it is 1, it means the heat storage tank is in the state of charging. dis When it is 1, it indicates that the heat storage tank is in the heat release state.

[0174] S280. Under the constraints of the scheduling constraint model, the objective function is optimized according to the biomass methane power generation model to determine the optimal scheduling plan corresponding to the comprehensive energy system of the agricultural and pastoral park.

[0175] The basic structure of the integrated energy system of the agricultural and pastoral park includes an energy supply system, an energy conversion and storage system, an energy distribution and utilization system, and an energy management and control system. Energy supply system: including photovoltaic power generation, wind power generation, biomass power generation, and traditional energy supply systems of the upper power grid; energy conversion and storage systems include: combined heat and power systems (CHP), electric energy storage systems, and thermal energy storage systems; energy distribution and utilization systems include: smart microgrid systems and uncontrollable loads and controllable flexible loads such as agricultural irrigation, animal husbandry, and agricultural and animal husbandry product processing; energy management and control systems include: intelligent monitoring systems and intelligent optimization and scheduling systems. Therefore, the solution of the embodiment of the present invention can be implemented based on the intelligent monitoring system and the intelligent optimization and scheduling system to schedule each energy supply system.

[0176] The technical solution of the embodiment of the present invention includes: dividing the loads in the integrated energy system of the agricultural and pastoral park into basic loads, shiftable loads, reducible loads and transferable loads; determining the compensation costs corresponding to various types of loads participating in demand response, and the total carbon trading cost corresponding to the integrated energy system of the agricultural and pastoral park; determining the objective function based on the compensation cost and the total carbon trading cost, and determining the scheduling constraint model and biomass biogas power generation model corresponding to the integrated energy system of the agricultural and pastoral park; under the constraints of the scheduling constraint model, optimizing the objective function according to the biomass biogas power generation model to determine the optimal scheduling plan. The technical solution of the embodiment of the present invention takes biomass power generation into consideration to establish an optimal scheduling model, and then schedules the integrated energy system of the agricultural and pastoral park; solves the problem that the traditional energy scheduling method is not suitable for the integrated energy system of the agricultural and pastoral park, realizes the reasonable optimization scheduling of the integrated energy system of the agricultural and pastoral park, and reduces the scheduling cost and carbon emissions.

[0177] Embodiment 3

[0178] Fig.12 This is a schematic diagram of the structure of a device for optimizing and scheduling an integrated energy system in an agricultural and pastoral area provided in Embodiment 3 of the present invention. Fig.12 As shown, the device comprises:

[0179] The load division module 310 is used to divide the load in the integrated energy system of the agricultural and animal husbandry park into basic load, shiftable load, curtailable load and transferable load;

[0180] The cost determination module 320 is used to determine the compensation costs corresponding to various types of loads participating in demand response, and the total carbon trading cost corresponding to the agricultural and pastoral park integrated energy system;

[0181] An objective function and constraint determination module 330 is used to determine an objective function based on the compensation cost and the total carbon trading cost, and to determine a scheduling constraint model and a biomass methane power generation model corresponding to the agricultural and animal husbandry park integrated energy system;

[0182] The optimization scheduling module 340 is used to optimize the objective function according to the biomass methane power generation model under the constraints of the scheduling constraint model to determine the optimal scheduling plan corresponding to the comprehensive energy system of the agricultural and animal husbandry park.

[0183] Optionally, the cost determination module 320 includes:

[0184] The submodule for determining the compensation cost of a translatable load is used to determine the power distribution vector corresponding to the translatable load when the translatable load participates in demand response, and to determine the compensation cost of the translatable load based on the power distribution vector and the unit power compensation cost of load translation.

[0185] Optionally, the cost determination module 320 includes:

[0186] The submodule for determining the compensation cost of the curtailable load is used to determine the curtailable power model and curtailment constraint model corresponding to the curtailable load, and determine the curtailable load compensation cost based on the curtailable power model, the curtailment constraint model and the unit power compensation price of the curtailed load.

[0187] Optionally, the cost determination module 320 includes:

[0188] A transferable load compensation cost determination submodule, used to determine a transferable load power constraint model and a continuous operation minimum time constraint model corresponding to the transferable load;

[0189] Based on the transferable load power constraint model, the continuous operation minimum time constraint model and the transfer load unit power compensation cost, the transferable load compensation cost is determined.

[0190] Optionally, the cost determination module 320 includes:

[0191] The submodule for determining the total cost of carbon trading is used for the carbon emission model corresponding to the comprehensive energy system of the agricultural and pastoral park, and determines the total cost of carbon trading based on the carbon emission model.

[0192] Optionally, the scheduling constraint model includes: biomass power generation biogas consumption constraints and ramp constraints, power network power balance constraints, system power boundary constraints, battery constraints and thermal network constraints.

[0193] Optionally, the optimization scheduling module 340 is specifically used for:

[0194] Under the constraints of the scheduling constraint model, according to the biomass methane power generation model, the output of various energy sources in the comprehensive energy system of the agricultural and animal husbandry park is determined with the minimum of the objective function as the optimization goal.

[0195] The agricultural and pastoral integrated energy system optimization and scheduling device provided in the embodiment of the present invention can execute the agricultural and pastoral integrated energy system optimization and scheduling method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the execution method.

[0196] Embodiment 4

[0197] Fig.13 A schematic diagram of the structure of an electronic device provided for Embodiment 4 of the present invention. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (such as helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0198] like Fig.13 As shown, the electronic device 10 includes at least one processor 11, and a memory connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc., wherein the memory stores a computer program that can be executed by at least one processor, and the processor 11 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 to the random access memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other through a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0199] A number of components in the electronic device 10 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0200] The processor 11 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, digital signal processors (DSPs), and any appropriate processors, controllers, microcontrollers, etc. The processor 11 executes the various methods and processes described above, such as the optimization scheduling method for the integrated energy system of the agricultural and pastoral park.

[0201] In some embodiments, the method for optimizing the scheduling of the integrated energy system of the agricultural and pastoral park can be implemented as a computer program, which is tangibly contained in a computer-readable storage medium, such as a storage unit 18. In some embodiments, part or all of the computer program can be loaded and / or installed on the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the method for optimizing the scheduling of the integrated energy system of the agricultural and pastoral park described above can be performed. Alternatively, in other embodiments, the processor 11 can be configured to execute the method for optimizing the scheduling of the integrated energy system of the agricultural and pastoral park by any other appropriate means (for example, by means of firmware).

[0202] Various implementations of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various implementations can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0203] Computer programs for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that when the computer program is executed by the processor, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0204] In the context of the present invention, a computer-readable storage medium may be a tangible medium that may contain or store a computer program for use by or in combination with an instruction execution system, device or equipment. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or equipment, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. A more specific example of a machine-readable storage medium may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0205] To provide interaction with a user, the systems and techniques described herein may be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0206] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0207] A computing system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The client and server relationship is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services.

[0208] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0209] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A method for optimizing and dispatching an integrated energy system in an agricultural and pastoral park, characterized in that: include: The loads in the integrated energy system of the agricultural and pastoral park are divided into basic loads, shiftable loads, reducible loads and transferable loads; Determine the compensation costs corresponding to various types of loads participating in demand response, as well as the total carbon trading cost corresponding to the comprehensive energy system of the agricultural and pastoral park; Determine the objective function based on the compensation cost and the total carbon trading cost, and determine the scheduling constraint model and biomass methane power generation model corresponding to the agricultural and pastoral park comprehensive energy system; Under the constraints of the scheduling constraint model, the objective function is optimized according to the biomass methane power generation model to determine the optimal scheduling plan corresponding to the comprehensive energy system of the agricultural and pastoral park.

2. The method according to claim 1, characterized in that The determination of the corresponding compensation costs for various types of loads participating in demand response includes: The power distribution vector corresponding to the shiftable load when participating in the demand response is determined, and the compensation cost of the shiftable load is determined based on the power distribution vector and the unit power compensation cost of the load shift.

3. The method according to claim 1, characterized in that The determination of the corresponding compensation costs for various types of loads participating in demand response includes: A curtailable power model and a curtailment constraint model corresponding to the curtailable load are determined, and a curtailable load compensation cost is determined based on the curtailable power model, the curtailment constraint model and the curtailed load unit power compensation price.

4. The method according to claim 1, characterized in that The determination of the corresponding compensation costs for various types of loads participating in demand response includes: Determine a transferable load power constraint model and a continuous operation minimum time constraint model corresponding to the transferable load; Based on the transferable load power constraint model, the continuous operation minimum time constraint model and the transfer load unit power compensation cost, the transferable load compensation cost is determined.

5. The method according to claim 1, characterized in that Determine the total carbon trading cost corresponding to the integrated energy system of the agricultural and pastoral park, including: Determine the carbon emission model corresponding to the comprehensive energy system of the agricultural and pastoral park, and determine the total cost of carbon trading based on the carbon emission model.

6. The method according to claim 1, characterized in that The dispatch constraint model includes: biomass power generation biogas consumption constraint and ramp constraint, power network power balance constraint, system power boundary constraint, battery constraint and heat network constraint.

7. The method according to claim 1, characterized in that Under the constraints of the scheduling constraint model, the objective function is optimized according to the biomass biogas power generation model to determine the optimal scheduling scheme corresponding to the agricultural and animal husbandry park integrated energy system, including: Under the constraints of the scheduling constraint model, according to the biomass methane power generation model, the output of various energy sources in the comprehensive energy system of the agricultural and animal husbandry park is determined with the minimum of the objective function as the optimization goal.

8. An optimization and dispatching device for an integrated energy system in an agricultural and pastoral park, characterized in that: include: The load division module is used to divide the load in the integrated energy system of the agricultural and pastoral park into basic load, shiftable load, curtailable load and transferable load; A cost determination module, used to determine the corresponding compensation costs when various types of loads participate in demand response, and the total carbon trading cost corresponding to the agricultural and pastoral park integrated energy system; An objective function and constraint determination module, used to determine an objective function based on the compensation cost and the total cost of carbon trading, and determine a scheduling constraint model and a biomass methane power generation model corresponding to the agricultural and pastoral park integrated energy system; The optimization scheduling module is used to optimize the objective function according to the biomass methane power generation model under the constraints of the scheduling constraint model to determine the optimal scheduling plan corresponding to the comprehensive energy system of the agricultural and pastoral park.

9. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the method for optimizing and scheduling the integrated energy system of the agricultural and pastoral park described in any one of claims 1-7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the method for optimizing and scheduling the integrated energy system of an agricultural and pastoral park according to any one of claims 1 to 7 when executed.

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