Modern agricultural park comprehensive energy system optimization scheduling method and device and medium

Abstract

The invention provides a modern agricultural park integrated energy system optimization scheduling method and device and a medium. The method comprises the following steps: determining first power generation power of a photovoltaic power generation system, second power generation power of a wind power generation system, total heat production of a gas turbine, heat supplied to a user by a gas-fired boiler, refrigerating capacity of an absorption refrigerator, electric quantity supplied to an electric refrigerator by the gas turbine and electricity storage quantity of energy storage equipment in a target agricultural park; a target function can be constructed by taking the minimum annual total cost of a target agricultural park as an optimization target, and electric energy balance of a photovoltaic power generation system, a wind power generation system and an electric refrigerator, electric energy and heat energy balance of a gas turbine, electricity storage quantity and charge and discharge quantity of energy storage equipment and user requirements are taken as constraint conditions; and establishing a system optimization scheduling model according to the target function and the constraint condition, and performing optimization scheduling on the integrated energy system of the target agricultural park by using the system optimization scheduling model, thereby effectively improving the economy of the optimization scheduling of the integrated energy system.

Description

Technical Field

[0001] The present application relates to the technical field of energy system optimization and scheduling, and in particular to a method, device and medium for optimizing and scheduling a comprehensive energy system in a modern agricultural park. Background Art

[0002] In the context of global climate change, the energy system, as the driving force of climate change, needs to adjust its own structure, save energy and reduce emissions, and make a low-carbon transformation to prevent further deterioration of climate conditions; at the same time, climate change has become an established fact, and adaptive adjustments need to be made according to the specific impact of climate factors on the energy system to avoid further increase in losses caused by future climate change. Modern agriculture has great potential for carbon emission reduction. Through the rational use of resources and energy substitution, it can achieve economic energy use in modern agriculture while bringing additional environmental benefits. The integrated energy system (IES) can achieve the complementary advantages of different types of energy and the cascade utilization of energy, effectively improving the overall efficiency of the energy system. Therefore, IES has gradually become one of the new generation of energy systems that countries around the world focus on developing.

[0003] At present, the research objects of integrated energy systems are mainly industrial parks and smart buildings. The load demand fluctuations of such research objects are small, and the optimization scheduling method is less affected by factors. Therefore, this type of optimization scheduling method is not suitable for modern agricultural parks. In addition, with the intensification of the global food crisis, the agricultural production problems in modern agricultural parks have attracted more and more attention. The transformation of the electrified agricultural model has led to huge challenges to the economic and safety of agricultural energy supply, affecting the normal optimization scheduling of system energy. In addition, due to the lack of quantitative research on agricultural loads under climate change, the source-load uncertainty problem of modern agricultural parks has been aggravated, making the economic effect of the original optimization scheduling method unsatisfactory. Summary of the invention

[0004] The purpose of this application is to solve at least one of the above-mentioned technical defects, especially the technical defect that the economic effect of the optimization scheduling method of modern agricultural parks in the prior art is not satisfactory.

[0005] The present application provides a method for optimizing and scheduling a comprehensive energy system in a modern agricultural park, the method comprising:

[0006] Determine the first power generation of the photovoltaic power generation system, the second power generation of the wind power generation system, the total heat output of the gas turbine, the heat supplied to users by the gas boiler, the cooling capacity of the absorption refrigerator, the amount of electricity supplied to the electric refrigerator by the gas turbine, and the storage capacity of the energy storage device in the target agricultural park;

[0007] An objective function is constructed with the minimum annual total cost of the target agricultural park as the optimization goal, and the power balance of the photovoltaic power generation system, the wind power generation system and the electric refrigerator, the power and thermal energy balance of the gas turbine, the storage capacity and charge and discharge capacity of the energy storage device, and user demand are used as constraints;

[0008] A system optimization scheduling model is established according to the objective function and the constraint conditions, and the system optimization scheduling model is used to optimize the scheduling of the comprehensive energy system of the target agricultural park.

[0009] Optionally, the method further comprises:

[0010] The annual cost saving rate, primary cost utilization rate, energy utilization improvement rate, carbon dioxide emissions, carbon dioxide emission reduction rate, equipment load rate, average load rate and energy supply difference rate of the target agricultural park are calculated respectively to evaluate the performance of new energy utilization, environmental protection and equipment operating conditions of the target agricultural park.

[0011] Optionally, the determining of the first power generation of the photovoltaic power generation system, the second power generation of the wind power generation system, the total heat output of the gas turbine, the heat supplied to users by the gas boiler, the cooling capacity of the absorption refrigerator, the amount of electricity supplied to the electric refrigerator by the gas turbine, and the amount of electricity stored in the energy storage device in the target agricultural park includes:

[0012] The calculation formula for determining the first power generation power of the photovoltaic power generation system in the target agricultural park is as follows:

[0013]

[0014] In the formula, is the first power generation of the photovoltaic power generation system, is the rated power of the photovoltaic generator, is the rated solar radiation intensity, is the actual solar radiation intensity, The power temperature system of the photovoltaic power generation system. represents the reference temperature, is the ambient temperature;

[0015] The calculation formula for determining the second power generation capacity of the wind power generation system in the target agricultural park is as follows:

[0016]

[0017] In the formula, is the second power generation capacity of the wind power generation system, is the rated power of the wind turbine, For the cut-in wind speed, To cut out the wind speed, is the rated wind speed, is the actual wind speed;

[0018] The calculation formula for determining the total heat production of the gas turbines in the target agricultural park is as follows:

[0019]

[0020]

[0021] In the formula, is the power generation of the gas turbine, is the amount of natural gas consumed by the gas turbine per unit time, is the gas turbine power generation efficiency, is the total heat generation of the gas turbine, is the gas turbine heat-to-power ratio, is the available thermal efficiency of the gas turbine waste heat;

[0022] The calculation formula for determining the heat supplied by gas boilers to users in the target agricultural park is as follows:

[0023]

[0024] In the formula, The gas boiler supplies heat to users. is the amount of natural gas consumed by the gas boiler, is the thermal efficiency of the gas boiler, is the rated power of the gas boiler;

[0025] The calculation formula for determining the cooling capacity of the absorption chiller in the target agricultural park is as follows:

[0026]

[0027] In the formula, is the cooling capacity of the absorption chiller, is the heat supplied by the gas turbine to the absorption chiller, is the refrigeration coefficient of the absorption chiller, is the rated power of the absorption chiller;

[0028] The calculation formula for determining the amount of electricity supplied by the gas turbine to the electric refrigerator in the target agricultural park is as follows:

[0029]

[0030] In the formula, The amount of electricity that supplies the electric refrigerator to the gas turbine, is the refrigeration coefficient of the electric refrigerator, is the amount of electricity consumed by the electric refrigerator, is the rated power of the electric refrigerator;

[0031] The calculation formula for determining the storage capacity of energy storage equipment in the target agricultural park is as follows:

[0032]

[0033] In the formula, for The battery storage capacity is is the initial storage capacity of the battery, and For batteries The charge and discharge amount at and is the battery charge and discharge efficiency, It is the self-discharge of the battery per hour.

[0034] Optionally, the calculation formulas for the energy consumption of the photovoltaic power generation system and the wind power generation system are as follows:

[0035]

[0036] in, , are model parameters; , is a variable in the form of a time series, is the energy consumption, For the mth The annual mean temperature of the year; is the time variable ( ), m is the number variable, is the forgetting factor, and its value range is 0.9~1.0.

[0037] Optionally, constructing an objective function with the minimum annual total cost of the target agricultural park as the optimization goal includes:

[0038] The objective function is constructed with the lowest annual amortized initial investment, equipment operating cost and maintenance cost of the target agricultural park as the optimization goal.

[0039] Optionally, the calculation formula with the power balance of the photovoltaic power generation system, the wind power generation system and the electric refrigerator, the power and thermal energy balance of the gas turbine, the storage capacity and charge and discharge capacity of the energy storage device, and user demand as constraints is as follows:

[0040]

[0041] In the formula, The amount of electricity supplied to users by the photovoltaic power generation system, Supply electricity to the photovoltaic power generation system for the electric refrigerator. To store electricity in batteries for photovoltaic power generation systems;

[0042]

[0043] In the formula, The amount of electricity supplied to users by the wind power generation system, The electricity supplied to the wind power generation system for the electric chiller, The electricity stored in the battery for the wind power generation system;

[0044]

[0045]

[0046] In the formula, The gas turbine supplies electricity to users. The amount of electricity that supplies the electric refrigerator to the gas turbine, The electricity stored in the battery for the gas turbine, is the total heat generation of the gas turbine, The waste heat from the gas turbine is used to supply the user with heat. The heat stored in the heat storage tank for the gas turbine waste heat, Supply heat from gas turbine waste heat to absorption chiller;

[0047]

[0048]

[0049] In the formula, and are the minimum and maximum storage capacity, and They are the minimum and maximum charge and discharge amounts per unit time respectively;

[0050]

[0051] In the formula, The user's electrical load, is the user's heat load, For user cooling load, For the user's heating load, The hot water load for the user.

[0052] Optionally, establishing a system optimization scheduling model according to the objective function and the constraint conditions includes:

[0053]

[0054] In the formula, is the investment recovery factor, which is used to allocate the total initial investment cost to years. is the initial investment cost of the system, is the annual operating cost of the system, is the annual maintenance cost, The profit from electricity sales;

[0055]

[0056] In the formula, is the annual interest rate, For system life;

[0057]

[0058] In the formula, , and Represents month, day, and hour respectively. is the number of devices included in the system ( ), For equipment The capacity, and For equipment The initial investment cost per unit capacity and the maintenance cost per unit output, For equipment contribution;

[0059]

[0060] In the formula, is the natural gas price, The price of buying electricity from the grid, The price of selling electricity to the grid. and are the gas volumes from the gas grid to the gas turbine and gas boiler, respectively. , and They are the amount of electricity from the grid to the electric refrigerator, the user, and the battery.

[0061] The present application also provides a modern agricultural park comprehensive energy system optimization and scheduling device, comprising:

[0062] A system model determination module is used to determine the first power generation of the photovoltaic power generation system, the second power generation of the wind power generation system, the total heat output of the gas turbine, the heat supplied to the user by the gas boiler, the cooling capacity of the absorption refrigerator, the power supplied by the gas turbine to the electric refrigerator, and the storage capacity of the energy storage device in the target agricultural park;

[0063] An objective function and constraint condition determination module is used to construct an objective function with the lowest annual total cost of the target agricultural park as the optimization target, and with the power balance of the photovoltaic power generation system, the wind power generation system and the electric refrigerator, the power and thermal energy balance of the gas turbine, the storage capacity and charge and discharge capacity of the energy storage device, and user demand as constraints;

[0064] The system optimization scheduling module is used to establish a system optimization scheduling model according to the objective function and the constraint conditions, and use the system optimization scheduling model to optimize the scheduling of the comprehensive energy system of the target agricultural park.

[0065] The present application also provides a computer-readable storage medium, which stores computer-readable instructions. When the computer-readable instructions are executed by one or more processors, the one or more processors execute the steps of the modern agricultural park integrated energy system optimization scheduling method as described in any of the above embodiments.

[0066] The present application also provides a computer device, comprising: one or more processors, and a memory;

[0067] The memory stores computer-readable instructions, and when the computer-readable instructions are executed by the one or more processors, the steps of the method for optimizing and scheduling the comprehensive energy system of a modern agricultural park as described in any one of the above embodiments are performed.

[0068] It can be seen from the above technical solutions that the embodiments of the present application have the following advantages:

[0069] The modern agricultural park comprehensive energy system optimization scheduling method, device and medium provided by the present application, after determining the first power generation power of the photovoltaic power generation system, the second power generation power of the wind power generation system, the total heat output of the gas turbine, the heat supplied to users by the gas boiler, the cooling capacity of the absorption refrigerator, the amount of electricity supplied by the gas turbine to the electric refrigerator and the storage capacity of the energy storage device in the target agricultural park, can construct an objective function with the lowest annual total cost of the target agricultural park as the optimization goal, with the electric energy balance of the photovoltaic power generation system, the wind power generation system and the electric refrigerator, the electric energy and thermal energy balance of the gas turbine, the storage capacity and charge and discharge capacity of the energy storage device, and user demand as constraints , and then establish a system optimization scheduling model based on the objective function and constraints, and use the system optimization scheduling model to optimize the scheduling of the comprehensive energy system of the target agricultural park. This can not only reduce carbon emissions by introducing photovoltaic power generation systems and wind power generation systems as green energy, but also compensate for the low efficiency of electricity to heat and electricity to cold by introducing combined heat and power systems. In terms of energy storage, the charging and discharging of energy storage equipment can also improve the utilization rate of photovoltaic and wind power and reduce energy costs. Finally, by constructing the objective function with the lowest annual total cost, the economic cost can be further reduced, and the economy of the optimization scheduling method of the comprehensive energy system of the modern agricultural park can be improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0070] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0071] Figure 1 A flow chart of a method for optimizing and scheduling a modern agricultural comprehensive energy system provided in an embodiment of the present application;

[0072] Figure 2 A schematic diagram of the agricultural park integrated energy system model architecture provided in the embodiment of the present application;

[0073] Figure 3 Schematic diagrams of four types of load data for 24 hours in four typical days of winter, spring, summer and autumn provided by the embodiment of the present application;

[0074] Figure 4 A schematic diagram of wind speed and solar radiation intensity on a typical day in the area where the agricultural park is located provided in the embodiment of the present application;

[0075] Figure 5 A schematic diagram of the optimal equipment capacity solved for an embodiment of the present application;

[0076] Figure 6 A schematic diagram of the solution results of the equipment capacities of the three systems after adding the electric load to the original user load and re-solving the equipment capacities of the three systems provided in the embodiment of the present application;

[0077] Figure 7 A schematic diagram of the output of each ESIES device provided in an embodiment of the present application;

[0078] Figure 8 A schematic diagram of the energy storage change of the battery and heat storage tank provided in the embodiment of the present application;

[0079] Fig. 9 A schematic diagram of the internal structure of a computer device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0080] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0081] In one embodiment, Figure 1 As shown, Figure 1 A flow chart of a method for optimizing and scheduling a modern agricultural comprehensive energy system provided in an embodiment of the present application; the present application provides a method for optimizing and scheduling a modern agricultural park comprehensive energy system, the method may include:

[0082] S110: Determine the first power generation of the photovoltaic power generation system, the second power generation of the wind power generation system, the total heat output of the gas turbine, the heat supplied by the gas boiler to users, the cooling capacity of the absorption refrigerator, the amount of electricity supplied by the gas turbine to the electric refrigerator, and the storage capacity of the energy storage device in the target agricultural park.

[0083] In this step, when optimizing the scheduling of the comprehensive energy system of the target agricultural park, the energy types of the comprehensive energy system of the target agricultural park and the models corresponding to each energy system can be determined first, so as to determine the mathematical model of the energy supply side of the comprehensive energy system of the target agricultural park.

[0084] In one embodiment, determining in S110 the first power generation of the photovoltaic power generation system in the target agricultural park, the second power generation of the wind power generation system, the total heat output of the gas turbine, the heat supplied to the user by the gas boiler, the cooling capacity of the absorption refrigerator, the power supplied to the electric refrigerator by the gas turbine, and the storage capacity of the energy storage device may include:

[0085] (1) Determine the first power generation of the photovoltaic power generation system in the target agricultural park. In this application, the power generation of the photovoltaic power generation system can be regarded as a function of the solar radiation intensity and the ambient temperature. When the solar radiation intensity is lower than the rated radiation intensity, the output of the photovoltaic power generation system is lower than the rated output; therefore, it can be calculated by a non-design operating condition function. When the solar radiation intensity is higher than the rated radiation intensity, the photovoltaic power generation system maintains the rated output, and the following calculation formula can be obtained:

[0086]

[0087] In the formula, is the first power generation of the photovoltaic power generation system, is the rated power of the photovoltaic generator, is the rated solar radiation intensity, is the actual solar radiation intensity, The power temperature system of the photovoltaic power generation system. represents the reference temperature, is the ambient temperature.

[0088] (2) Determine the second power generation capacity of the wind power generation system in the target agricultural park. The power generation capacity of the wind power generation system can be regarded as a function of the wind speed. The performance constraint of the wind power generation system is determined by the cut-in wind speed, rated wind speed and cut-out wind speed. The calculation formula is as follows:

[0089]

[0090] In the formula, is the second power generation capacity of the wind power generation system, is the rated power of the wind turbine, For the cut-in wind speed, To cut out the wind speed, is the rated wind speed, is the actual wind speed.

[0091] (3) Determine the total heat output of the gas turbines in the target agricultural park. The power generation and waste heat of the gas turbines depend on the amount of natural gas consumed and the equipment capacity. The calculation formula is as follows:

[0092]

[0093]

[0094] In the formula, is the power generation of the gas turbine, is the amount of natural gas consumed by the gas turbine per unit time, is the gas turbine power generation efficiency, is the total heat generation of the gas turbine, is the gas turbine heat-to-power ratio, It is the available thermal efficiency of gas turbine waste heat.

[0095] (4) Determine the amount of heat supplied to users by gas boilers in the target agricultural park. Gas boilers are devices that consume gas to generate heat. The heat production power is determined by the amount of natural gas consumed. The calculation formula is as follows:

[0096]

[0097] In the formula, The gas boiler supplies heat to users. is the amount of natural gas consumed by the gas boiler, is the thermal efficiency of the gas boiler, is the rated power of the gas boiler.

[0098] (5) Determine the cooling capacity of the absorption chiller in the target agricultural park. The heat driving the absorption chiller comes from the waste heat recovered by the gas turbine. Its cooling capacity depends on the waste heat delivered by the gas turbine. Therefore, the operation strategy of the absorption chiller is related to the gas turbine. The calculation formula is as follows:

[0099]

[0100] In the formula, is the cooling capacity of the absorption chiller, is the heat supplied by the gas turbine to the absorption chiller, is the refrigeration coefficient of the absorption chiller, is the rated power of the absorption chiller.

[0101] (6) Determine the amount of electricity supplied by the gas turbine to the electric refrigerator in the target agricultural park. The cooling power of the electric refrigerator depends on the consumed electrical energy, so the calculation formula is as follows:

[0102]

[0103] In the formula, The amount of electricity that supplies the electric refrigerator to the gas turbine, is the refrigeration coefficient of the electric refrigerator, is the power consumed by the electric refrigerator, is the rated power of the electric refrigerator.

[0104] (7) Determine the storage capacity of the energy storage equipment in the target agricultural park. The storage capacity of the battery depends on the storage capacity and charging and discharging power at the previous moment. Therefore, the calculation formula is as follows:

[0105]

[0106] In the formula, for The battery storage capacity is is the initial storage capacity of the battery, and For batteries The charge and discharge amount at and is the battery charge and discharge efficiency, It is the self-discharge of the battery per hour.

[0107] Furthermore, in terms of energy supply, photovoltaic power generation systems and wind power generation systems are subject to restrictions on light intensity, wind speed and ambient temperature, and therefore have large fluctuations; in terms of agricultural load, agricultural load is most profoundly affected by ambient temperature, and the prediction of future agricultural load demand is inseparable from the influence of ambient temperature. Therefore, this application can establish a multivariate autoregressive model to predict the energy consumption of future agricultural parks.

[0108] In one embodiment, the calculation formulas for the energy consumption of the photovoltaic power generation system and the wind power generation system are as follows:

[0109]

[0110] in, , are model parameters; , is a variable in the form of a time series, is the energy consumption, For the mth The annual mean temperature of the year; is the time variable ( ), m is the number variable, is the forgetting factor, and its value range is 0.9~1.0.

[0111] The present application may use the recursive least squares method to estimate the parameters of the CAR model constructed above.

[0112] ,

[0113] The CAR model can be simplified as follows:

[0114]

[0115] in, time The recursive least squares estimate of :

[0116]

[0117] To avoid In and If a negative subscript appears, you need to set the recursive time from Start with the initial value of each item set to 0. The initial value is , is the identity matrix. is the forgetting factor, which ranges from 0.9 to 1.0. If the forgetting rate of historical data is high, the value is close to 0.9; if the forgetting rate is low, it is close to 1.0. Using N groups of measured values, the residual sum of squares S(n) of the CAR(n) model can be obtained, that is:

[0118]

[0119]

[0120] The annual average temperature and total energy consumption of an agricultural park were used as variables (m=2), the time range was 1985~2017 (N=33), and the forgetting factor , and establish CAR models respectively to calculate the energy consumption of the comprehensive energy system.

[0121] S120: Construct an objective function with the minimum annual total cost of the target agricultural park as the optimization goal, and use the power balance of the photovoltaic power generation system, wind power generation system and electric refrigerator, the power and thermal energy balance of the gas turbine, the storage capacity and charge and discharge capacity of the energy storage equipment, and user demand as constraints.

[0122] In this step, after determining the supply-side mathematical model of the integrated energy system through S110, the present application can construct the objective function and constraint conditions, and then construct a system optimization scheduling model.

[0123] In one embodiment, in S120, constructing an objective function with the annual total cost of the target agricultural park as the optimization target may include:

[0124] The objective function is constructed with the lowest annual amortized initial investment, equipment operating cost and maintenance cost of the target agricultural park as the optimization goal.

[0125] Furthermore, after constructing the objective function in this application, the constraints can also be determined according to the various devices and energy balance in the integrated energy system, as follows:

[0126] In one embodiment, the calculation formula with the power balance of the photovoltaic power generation system, the wind power generation system and the electric refrigerator, the power and thermal energy balance of the gas turbine, the storage capacity and charge and discharge capacity of the energy storage device, and user demand as constraints is as follows:

[0127]

[0128] In the formula, The amount of electricity supplied to users by the photovoltaic power generation system, Supply electricity to the photovoltaic power generation system for the electric refrigerator. The electricity stored in the battery for the photovoltaic power generation system.

[0129]

[0130] In the formula, The amount of electricity supplied to users by the wind power generation system, The electricity supplied to the wind power generation system for the electric chiller, The electricity stored in the battery for the wind power generation system.

[0131]

[0132]

[0133] In the formula, The gas turbine supplies electricity to users. The amount of electricity that supplies the electric refrigerator to the gas turbine, The electricity stored in the battery for the gas turbine, is the total heat generation of the gas turbine, The waste heat from the gas turbine is used to supply the user with heat. The heat stored in the heat storage tank for the gas turbine waste heat, The waste heat from the gas turbine is used to supply heat to the absorption chiller.

[0134]

[0135]

[0136] In the formula, and are the minimum and maximum storage capacity, and They are the minimum and maximum charge and discharge amounts per unit time respectively.

[0137]

[0138] In the formula, The user's electrical load, is the user's heat load, For user cooling load, For the user's heating load, The hot water load for the user.

[0139] S130: Establish a system optimization scheduling model based on the objective function and constraint conditions, and use the system optimization scheduling model to optimize the scheduling of the comprehensive energy system of the target agricultural park.

[0140] In this step, after constructing the objective function and constraints through S120, the present application can establish a system optimization scheduling model based on the objective function and constraints, and optimize the scheduling of the comprehensive energy system of the target agricultural park through the system optimization scheduling model.

[0141] In one embodiment, establishing a system optimization scheduling model according to the objective function and the constraint condition in S130 may include:

[0142]

[0143] In the formula, is the investment recovery factor, which is used to allocate the total initial investment cost to years. is the initial investment cost of the system, is the annual operating cost of the system, is the annual maintenance cost, The profit from electricity sales;

[0144]

[0145] In the formula, is the annual interest rate, For system life.

[0146]

[0147] In the formula, , and Represents month, day, and hour respectively. is the number of devices included in the system ( ), For equipment The capacity, and For equipment Initial investment cost per unit capacity and maintenance cost per unit output. For equipment of effort.

[0148]

[0149] In the formula, is the natural gas price, The price of buying electricity from the grid, The price of selling electricity to the grid. and are the gas volumes from the gas grid to the gas turbine and gas boiler, respectively. , and They are the amount of electricity from the grid to the electric refrigerator, the user, and the battery.

[0150] In the above embodiment, after determining the first power generation power of the photovoltaic power generation system, the second power generation power of the wind power generation system, the total heat output of the gas turbine, the heat supplied to users by the gas boiler, the cooling capacity of the absorption refrigerator, the amount of electricity supplied by the gas turbine to the electric refrigerator, and the amount of storage capacity of the energy storage device in the target agricultural park, an objective function can be constructed with the lowest annual total cost of the target agricultural park as the optimization goal, with the balance of electricity among the photovoltaic power generation system, the wind power generation system and the electric refrigerator, the balance of electricity and heat energy of the gas turbine, the storage capacity and charge and discharge capacity of the energy storage device, and user demand as constraints, and then according to the objective function and the constraints, the optimal operation is performed. The system optimization scheduling model is established based on the constraint conditions, and the system optimization scheduling model is used to optimize the scheduling of the comprehensive energy system of the target agricultural park. This can not only reduce carbon emissions by introducing photovoltaic power generation systems and wind power generation systems as green energy, but also compensate for the low efficiency of electricity-to-heat and electricity-to-cold by introducing combined heat and power systems. In terms of energy storage, the charging and discharging of energy storage equipment can be used to improve the utilization rate of photovoltaic and wind power and reduce energy costs. Finally, the economic cost can be further reduced by constructing the objective function with the lowest annual total cost, thereby improving the economy of the optimization scheduling method of the comprehensive energy system of the modern agricultural park.

[0151] In one embodiment, the method may further include:

[0152] S140: Calculate the annual cost saving rate, primary cost utilization rate, energy utilization improvement rate, carbon dioxide emissions, carbon dioxide emission reduction rate, equipment load rate, average load rate and energy supply difference rate of the target agricultural park respectively, so as to evaluate the performance of new energy utilization, environmental protection and equipment operating conditions of the target agricultural park.

[0153] In this embodiment, since the economic evaluation system is generally realized only by calculating the economic cost and carbon emission cost in the prior art, it cannot comprehensively improve the energy utilization rate of photovoltaic and wind power. Therefore, this application will form economic evaluation indicators through annual total cost and annual cost saving rate, and the energy consumption evaluation composed of primary energy utilization rate and energy utilization improvement rate will intuitively reflect the proportion of new energy in the entire energy system, introduce carbon dioxide emissions and carbon dioxide emission reduction rate to reflect the economic advantages of low carbon cost in carbon emission reduction in the optimization and scheduling of the comprehensive energy system, and achieve the balance of interests between economic benefits, energy consumption benefits and environmental benefits, so as to establish a complete set of comprehensive energy system evaluation system.

[0154] Specifically, this application is based on the economic performance of the modern agricultural park comprehensive energy system optimization scheduling method in meeting the energy needs of the agricultural park, and further evaluates the performance in three dimensions: new energy utilization, environmental protection (carbon emissions) and equipment operating conditions.

[0155] (1) Annual cost saving rate (ACSR) refers to the total cost saving rate of the integrated energy system. Compared with the control system Cost savings as a percentage of the total annual cost of the control system.

[0156]

[0157] (2) Primary energy efficiency (PEE) refers to the proportion of energy used that is directly converted into useful capacity during the process of energy conversion and utilization.

[0158]

[0159] In the formula, For user power load, For user heat load, For user cooling load, is the amount of natural gas supplied to the boiler by the gas pipeline network, is the amount of natural gas supplied to the gas turbine by the gas pipeline network, , and are the power from the power grid to the user, the electric refrigerator and the battery, and They are the power generation efficiency of the power plant and the transmission efficiency of the power grid respectively.

[0160] (3) Energy efficiency improvement rate (EEIR) refers to the percentage increase in the primary energy utilization rate of the integrated energy system compared with the control system, reflecting the advantages of the integrated energy system in energy saving.

[0161]

[0162] In the formula, For the system efficiency of the integrated energy system, is the system efficiency of the control system.

[0163] (4) Carbon dioxide emissions (CDE)

[0164]

[0165] In the formula, is the amount of electricity purchased by the system from the grid, is the carbon dioxide conversion factor generated by electricity purchased from the public grid, This is the conversion factor for carbon dioxide produced by burning natural gas.

[0166] (5) Carbon dioxide reduction rate (CDRR) refers to the carbon dioxide emissions of the integrated energy system. With control system Compared to the reduced ratio.

[0167]

[0168] (6) Other indicators: In order to compare the optimization results of the variable working condition model and the fixed working condition model, the equipment load rate ( )、Average load factor( ) and energy supply difference rate ( ) three evaluation indicators.

[0169]

[0170]

[0171]

[0172] In the formula, For equipment During the optimization period The output situation inside, For equipment Rated capacity, is the total operation time of the device, and They are the equipment outputs of the fixed operating condition model and the variable operating condition model respectively.

[0173] Furthermore, if Figure 2 As shown, Figure 2 A schematic diagram of the agricultural park integrated energy system model architecture provided in the embodiment of this application; this application can be established as follows Figure 2 The agricultural park integrated energy system model shown uses a modern agricultural park as the research scene, and plans to use an integrated energy system to provide cooling, heating, electricity and hot water for the buildings in the park. The park covers an area of ​​about 11.8 hectares, including an office area and an energy management and control center, with an area of ​​5 hectares and 1.8 hectares respectively.

[0174] In order to verify the effectiveness of the proposed model, four typical days are selected to represent the four seasons for optimization. The four load data of the user in winter, spring, summer and autumn for 24 hours are as follows: Figure 3 The wind speed and solar radiation intensity on a typical day in the area where the agricultural park is located are shown in Figure 4 shown.

[0175] (1) Optimal equipment capacity of the system

[0176] The above optimization models are applied to CCHP, REIES (new energy-integrated energy) and ESIES (energy storage-integrated energy) respectively, and the optimal equipment capacity is obtained as follows: Figure 5 After adding the electric load to the original user load, the equipment capacity of the three systems was re-solved. The solution results are shown in Figure 6 As shown in the figure, it can be found that the addition of renewable energy does increase the capacity of gas turbines and absorption chillers. After adding the energy storage system, the capacity of gas turbines and absorption chillers decreases. This is because the addition of energy storage further improves the consumption of new energy.

[0177] (2) System Optimal Operation Strategy

[0178] The output of each ESIES device is as follows: Figure 7 As shown. As can be seen from the figure, when ESIES is used to supply energy to users, the user's heat demand is mainly met by the boiler, and the user's cold demand is mainly met by the electric refrigerator. The gas turbine for cogeneration of heat and power contributes less to the user's heat and cold use. In winter and spring, gas turbines account for 50% of the power supply, and the share decreases when electricity demand increases in summer and autumn. Photovoltaic power is used during the day, wind turbines run all day, and wind power and the grid are used to supply power at night. At 14:00 in autumn, due to the sufficient supply of wind and solar energy and the low power price of the grid, the gas turbine stops and relies on the grid and renewable energy. The storage capacity of batteries and heat storage tanks changes over time as shown in the figure. Figure 8 As shown, the heat storage and release of the heat storage tank are similar in winter and spring, while the battery is used more frequently in summer and autumn, which is related to the increase in power consumption.

[0179] The modern agricultural park comprehensive energy system optimization and scheduling device provided in the embodiment of the present application is described below. The modern agricultural park comprehensive energy system optimization and scheduling device described below and the modern agricultural park comprehensive energy system optimization and scheduling method described above can be referenced to each other.

[0180] In one embodiment, the present application also provides a modern agricultural park comprehensive energy system optimization and scheduling device, a system model determination module, an objective function and constraint condition determination module, and a system optimization and scheduling module, which specifically include the following:

[0181] The system model determination module is used to determine the first power generation of the photovoltaic power generation system in the target agricultural park, the second power generation of the wind power generation system, the total heat output of the gas turbine, the heat supplied to users by the gas boiler, the cooling capacity of the absorption refrigerator, the amount of electricity supplied by the gas turbine to the electric refrigerator, and the storage capacity of the energy storage device.

[0182] The objective function and constraint condition determination module is used to construct an objective function with the lowest annual total cost of the target agricultural park as the optimization target, and the power balance of the photovoltaic power generation system, the wind power generation system and the electric refrigerator, the power and thermal energy balance of the gas turbine, the storage capacity and charge and discharge capacity of the energy storage device, and user demand as constraints.

[0183] The system optimization scheduling module is used to establish a system optimization scheduling model according to the objective function and the constraint conditions, and use the system optimization scheduling model to optimize the scheduling of the comprehensive energy system of the target agricultural park.

[0184] In the above embodiment, after determining the first power generation power of the photovoltaic power generation system, the second power generation power of the wind power generation system, the total heat output of the gas turbine, the heat supplied to users by the gas boiler, the cooling capacity of the absorption refrigerator, the amount of electricity supplied by the gas turbine to the electric refrigerator, and the amount of storage capacity of the energy storage device in the target agricultural park, an objective function can be constructed with the lowest annual total cost of the target agricultural park as the optimization goal, with the balance of electricity among the photovoltaic power generation system, the wind power generation system and the electric refrigerator, the balance of electricity and heat energy of the gas turbine, the storage capacity and charge and discharge capacity of the energy storage device, and user demand as constraints, and then according to the objective function and the constraints, the optimal operation is performed. The system optimization scheduling model is established based on the constraint conditions, and the system optimization scheduling model is used to optimize the scheduling of the comprehensive energy system of the target agricultural park. This can not only reduce carbon emissions by introducing photovoltaic power generation systems and wind power generation systems as green energy, but also compensate for the low efficiency of electricity-to-heat and electricity-to-cold by introducing combined heat and power systems. In terms of energy storage, the charging and discharging of energy storage equipment can be used to improve the utilization rate of photovoltaic and wind power and reduce energy costs. Finally, the economic cost can be further reduced by constructing the objective function with the lowest annual total cost, thereby improving the economy of the optimization scheduling method of the comprehensive energy system of the modern agricultural park.

[0185] In one embodiment, the present application also provides a computer-readable storage medium, which stores computer-readable instructions. When the computer-readable instructions are executed by one or more processors, the one or more processors execute the steps of the modern agricultural park integrated energy system optimization scheduling method as described in any of the above embodiments.

[0186] In one embodiment, the present application also provides a computer device, including: one or more processors, and a memory.

[0187] The memory stores computer-readable instructions, and when the computer-readable instructions are executed by the one or more processors, the steps of the method for optimizing and scheduling the comprehensive energy system of a modern agricultural park as described in any one of the above embodiments are performed.

[0188] Indicatively, Fig. 9 As shown, Fig. 9 This is a schematic diagram of the internal structure of a computer device provided in an embodiment of the present application. The computer device 300 may be provided as a server. Fig. 9 The computer device 300 includes a processing component 302, which further includes one or more processors, and a memory resource represented by a memory 301 for storing instructions executable by the processing component 302, such as an application. The application stored in the memory 301 may include one or more modules, each corresponding to a set of instructions. In addition, the processing component 302 is configured to execute instructions to execute the modern agricultural park integrated energy system optimization scheduling method of any of the above embodiments.

[0189] The computer device 300 may further include a power supply component 303 configured to perform power management of the computer device 300, a wired or wireless network interface 304 configured to connect the computer device 300 to a network, and an input / output (I / O) interface 305. The computer device 300 may operate based on an operating system stored in the memory 301, such as Windows Server TM, Mac OS X TM, Unix TM, Linux TM, Free BSD TM, or the like.

[0190] Those skilled in the art will understand that Fig. 9 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0191] Finally, it should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

[0192] The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The various embodiments can be combined as needed, and the same or similar parts can refer to each other.

[0193] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for optimizing and dispatching the comprehensive energy system of a modern agricultural park, characterized in that: The method comprises: Determine the first power generation of the photovoltaic power generation system, the second power generation of the wind power generation system, the total heat output of the gas turbine, the heat supplied to users by the gas boiler, the cooling capacity of the absorption refrigerator, the amount of electricity supplied to the electric refrigerator by the gas turbine, and the storage capacity of the energy storage device in the target agricultural park; An objective function is constructed with the minimum annual total cost of the target agricultural park as the optimization goal, and the power balance of the photovoltaic power generation system, the wind power generation system and the electric refrigerator, the power and thermal energy balance of the gas turbine, the storage capacity and charge and discharge capacity of the energy storage device, and user demand are used as constraints; A system optimization scheduling model is established according to the objective function and the constraint conditions, and the system optimization scheduling model is used to optimize the scheduling of the comprehensive energy system of the target agricultural park.

2. The modern agricultural park comprehensive energy system optimization scheduling method according to claim 1 is characterized in that: The method further comprises: The annual cost saving rate, primary cost utilization rate, energy utilization improvement rate, carbon dioxide emissions, carbon dioxide emission reduction rate, equipment load rate, average load rate and energy supply difference rate of the target agricultural park are calculated respectively to evaluate the performance of new energy utilization, environmental protection and equipment operating conditions of the target agricultural park.

3. The modern agricultural park comprehensive energy system optimization scheduling method according to claim 1 is characterized in that: The method of determining the first power generation of the photovoltaic power generation system, the second power generation of the wind power generation system, the total heat output of the gas turbine, the heat supplied to users by the gas boiler, the cooling capacity of the absorption refrigerator, the amount of electricity supplied to the electric refrigerator by the gas turbine, and the amount of storage capacity of the energy storage device in the target agricultural park includes: The calculation formula for determining the first power generation power of the photovoltaic power generation system in the target agricultural park is as follows: In the formula, is the first power generation of the photovoltaic power generation system, is the rated power of the photovoltaic generator, is the rated solar radiation intensity, is the actual solar radiation intensity, The power temperature system of the photovoltaic power generation system. represents the reference temperature, is the ambient temperature; The calculation formula for determining the second power generation capacity of the wind power generation system in the target agricultural park is as follows: In the formula, is the second power generation capacity of the wind power generation system, is the rated power of the wind turbine, For the cut-in wind speed, To cut out the wind speed, is the rated wind speed, is the actual wind speed; The calculation formula for determining the total heat production of the gas turbines in the target agricultural park is as follows: In the formula, is the power generation of the gas turbine, is the amount of natural gas consumed by the gas turbine per unit time, is the gas turbine power generation efficiency, is the total heat generation of the gas turbine, is the gas turbine heat-to-power ratio, is the available thermal efficiency of the gas turbine waste heat; The calculation formula for determining the heat supplied by gas boilers to users in the target agricultural park is as follows: In the formula, The gas boiler supplies heat to users. is the amount of natural gas consumed by the gas boiler, is the thermal efficiency of the gas boiler, is the rated power of the gas boiler; The calculation formula for determining the cooling capacity of the absorption chiller in the target agricultural park is as follows: In the formula, is the cooling capacity of the absorption chiller, is the heat supplied by the gas turbine to the absorption chiller, is the refrigeration coefficient of the absorption chiller, is the rated power of the absorption chiller; The calculation formula for determining the amount of electricity supplied by the gas turbine to the electric refrigerator in the target agricultural park is as follows: In the formula, The amount of electricity that supplies the electric refrigerator to the gas turbine, is the refrigeration coefficient of the electric refrigerator, is the power consumed by the electric refrigerator, is the rated power of the electric refrigerator; The calculation formula for determining the storage capacity of energy storage equipment in the target agricultural park is as follows: In the formula, for The battery storage capacity is is the initial storage capacity of the battery, and For batteries The charge and discharge amount at and is the battery charge and discharge efficiency, It is the self-discharge of the battery per hour.

4. The method for optimizing and dispatching the comprehensive energy system of a modern agricultural park according to claim 3, characterized in that: The calculation formulas for the energy consumption of the photovoltaic power generation system and the wind power generation system are as follows: in, , are model parameters; , is a variable in the form of a time series, is the energy consumption, For the mth The annual mean temperature of the year; is the time variable ( ), m is the number variable, is the forgetting factor, and its value range is 0.9~1.

0.

5. The modern agricultural park comprehensive energy system optimization scheduling method according to claim 1 is characterized in that: The objective function is constructed with the annual total cost of the target agricultural park as the optimization goal, including: The objective function is constructed with the lowest annual amortized initial investment, equipment operating cost and maintenance cost of the target agricultural park as the optimization goal.

6. The method for optimizing and dispatching the comprehensive energy system of a modern agricultural park according to claim 5, characterized in that: The calculation formula with the power balance of the photovoltaic power generation system, the wind power generation system and the electric refrigerator, the power and thermal energy balance of the gas turbine, the storage capacity and charge and discharge capacity of the energy storage device, and user demand as constraints is as follows: In the formula, The amount of electricity supplied to users by the photovoltaic power generation system, Supply electricity to the photovoltaic power generation system for the electric refrigerator. To store electricity in batteries for photovoltaic power generation systems; In the formula, The amount of electricity supplied to users by the wind power generation system, The electricity supplied to the wind power generation system for the electric chiller, The electricity stored in the battery for the wind power generation system; In the formula, The gas turbine supplies electricity to users. The amount of electricity that supplies the electric refrigerator to the gas turbine, The electricity stored in the battery for the gas turbine, is the total heat generation of the gas turbine, The waste heat from the gas turbine is used to supply the user with heat. The heat stored in the heat storage tank for the gas turbine waste heat, Supplying heat from gas turbine waste heat to absorption chillers; In the formula, and are the minimum and maximum storage capacity, and They are the minimum and maximum charge and discharge amounts per unit time respectively; In the formula, The user's electrical load, is the user's heat load, For user cooling load, Heating load for users, The hot water load for the user.

7. The method for optimizing and dispatching the comprehensive energy system of a modern agricultural park according to claim 6, characterized in that: The establishing of a system optimization scheduling model according to the objective function and the constraint conditions includes: In the formula, is the investment recovery factor, which is used to allocate the total initial investment cost to years. is the initial investment cost of the system, is the annual operating cost of the system, is the annual maintenance cost, The profit from electricity sales; In the formula, is the annual interest rate, For system life; In the formula, , and Represents month, day, and hour respectively. is the number of devices included in the system ( ), For equipment The capacity, and For equipment The initial investment cost per unit capacity and the maintenance cost per unit output, For equipment contribution; In the formula, is the natural gas price, The price of buying electricity from the grid, The price of selling electricity to the grid. and are the gas volumes from the gas grid to the gas turbine and gas boiler, respectively. , and They are the amount of electricity from the grid to the electric refrigerator, the user, and the battery.

8. A modern agricultural park comprehensive energy system optimization and scheduling device, characterized in that: include: A system model determination module is used to determine the first power generation of the photovoltaic power generation system, the second power generation of the wind power generation system, the total heat output of the gas turbine, the heat supplied to the user by the gas boiler, the cooling capacity of the absorption refrigerator, the power supplied by the gas turbine to the electric refrigerator, and the storage capacity of the energy storage device in the target agricultural park; An objective function and constraint condition determination module is used to construct an objective function with the lowest annual total cost of the target agricultural park as the optimization target, and with the power balance of the photovoltaic power generation system, the wind power generation system and the electric refrigerator, the power and thermal energy balance of the gas turbine, the storage capacity and charge and discharge capacity of the energy storage device, and user demand as constraints; The system optimization scheduling module is used to establish a system optimization scheduling model according to the objective function and the constraint conditions, and use the system optimization scheduling model to optimize the scheduling of the comprehensive energy system of the target agricultural park.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-readable instructions, and when the computer-readable instructions are executed by one or more processors, the one or more processors execute the steps of the method for optimizing and scheduling the integrated energy system of a modern agricultural park as described in any one of claims 1 to 7.

10. A computer device, characterized in that: include: one or more processors, and memory; The memory stores computer-readable instructions, and when the computer-readable instructions are executed by the one or more processors, the steps of the method for optimizing and scheduling the integrated energy system of a modern agricultural park as described in any one of claims 1 to 7 are performed.

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