Operation Optimization Method and System for Integrated Energy System for Rural Buildings

Abstract

The present invention belongs to the field of energy optimization, and provides an operation optimization method and system for an integrated energy system for rural buildings. Taking combined cooling, heat and power supply as the basis of the integrated energy system, combining the energy consumption characteristics of rural areas and typical resources in rural areas, and using a storage battery as an energy storage device, a set of integrated energy systems with rural energy supply characteristics is constructed; taking economic and environmental protection indicators as the objective function of the system, and taking the energy balance of the integrated energy system as the constraint relationship, the capacity of the key equipment of the integrated energy system is configured; taking the configuration result of the capacity of the key equipment of the integrated energy system as a constraint, taking the typical daily cooling, heat and power load data of rural buildings as the basis, and taking the hourly output of the internal combustion generator set as the optimization variable, multi-level optimization is carried out to obtain the operation control strategy of the integrated energy system, so as to achieve the optimal economy and environmental protection of the system.

Description

Technical Field

[0001] The present invention belongs to the field of energy optimization, and particularly relates to an operation optimization method and system for an integrated energy system for rural buildings. Background Art

[0002] The statements in this part only provide background technical information related to the present invention and do not necessarily constitute prior art.

[0003] Energy is the foundation for the survival and development of human society. Nowadays, energy shortage and environmental problems are imminent. Improving energy utilization efficiency, saving energy, and reducing pollutant emissions have become the consensus of all countries.

[0004] Due to the inconsistent construction specifications of rural residential buildings and the poor airtightness of the outer envelope structure, the energy consumption required to maintain a comfortable indoor environment in rural buildings is relatively high. Therefore, rural residential buildings have great potential for energy conservation and emission reduction. Net-zero energy buildings are one of the key solutions to address the high operating energy consumption and large pollution gas emissions of buildings, and are also the future development trend of the building industry.

[0005] However, due to economic constraints in rural areas, the adoption of passive energy conservation will impose additional construction costs on residents and have a greater impact on the overall economy of the building system. At the same time, the current energy supply in rural areas is still mainly based on coal, and there have always been problems such as extensive energy management, poor economy, and high levels of pollution gas emissions. Simply reducing building energy consumption from the energy consumption side cannot completely solve the current situation of the rural energy system. Summary of the Invention

[0006] To solve at least one of the technical problems in the above background art, the present invention provides an operation optimization method and system for an integrated energy system for rural buildings. Based on the original load data, with net-zero energy consumption as the constraint for the building energy supply system, a multi-objective optimization algorithm is used to configure the capacity of the key equipment of the integrated energy system. In the scheduling optimization stage, the system capacity configuration result is used as the constraint, considering the time-of-use electricity price situation, to optimize the output of the internal combustion generator set in the system and achieve the optimal economy and environmental protection of the system. On the basis of meeting the load demand of rural buildings, promoting net-zero energy buildings and advancing rural energy transformation and developing new energy supply methods are of great significance for reducing the economic pressure on farmers and promoting the energy emission reduction of the whole society.

[0007] To achieve the above object, the present invention adopts the following technical solutions:

[0008] The first aspect of the present invention provides an operation optimization method for an integrated energy system for rural buildings, including the following steps:

[0009] Taking combined cooling, heating and power supply as the basis of the integrated energy system, combining the energy consumption characteristics of rural areas and typical resources in rural areas, and using a storage battery as the energy storage device, an integrated energy system with rural energy supply characteristics is constructed;

[0010] Taking economic and environmental protection indicators as the objective function of the system and the energy balance of the integrated energy system as the constraint relationship, the capacities of key equipment in the integrated energy system are configured;

[0011] Taking the configuration results of the capacities of key equipment in the integrated energy system as the constraint, taking the typical daily cooling, heating and power load data of rural buildings as the basis, and taking the hourly output of the internal combustion generator set as the optimization variable, multi-level optimization is carried out to obtain the operation control strategy of the integrated energy system.

[0012] The second aspect of the present invention provides an operation optimization system for an integrated energy system for rural buildings, including:

[0013] An integrated energy system construction module, which is used to take combined cooling, heating and power supply as the basis of the integrated energy system, combine the energy consumption characteristics of rural areas and typical resources in rural areas, and use a storage battery as the energy storage device to construct an integrated energy system with rural energy supply characteristics;

[0014] A key equipment capacity configuration module, which is used to take economic and environmental protection indicators as the objective function of the system and the energy balance of the integrated energy system as the constraint relationship to configure the capacities of key equipment in the integrated energy system;

[0015] An operation scheduling optimization module, which is used to take the configuration results of the capacities of key equipment in the integrated energy system as the constraint, take the typical daily cooling, heating and power load data of rural buildings as the basis, and take the hourly output of the internal combustion generator set as the optimization variable, and carry out multi-level optimization to obtain the operation control strategy of the integrated energy system.

[0016] The third aspect of the present invention provides a computer-readable storage medium.

[0017] A computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, the steps in the operation optimization method of the integrated energy system for rural buildings as described above are implemented.

[0018] The fourth aspect of the present invention provides a computer device.

[0019] A computer device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, and when the processor executes the program, the steps in the operation optimization method of the integrated energy system for rural buildings as described above are implemented.

[0020] Compared with the prior art, the beneficial effects of the present invention are:

[0021] The present invention takes combined cooling, heat and power supply as the basis of the integrated energy system, combines the unique biomass biogas resources and rich photovoltaic power generation resources in rural areas, uses a storage battery as an energy storage device, and constructs an integrated energy system with rural energy supply characteristics; comprehensively considering the logical framework of system energy supply and the equipment operation model, an optimization model for the capacity configuration of key equipment in the integrated energy system is established under the constraint of net-zero energy consumption operation; on the basis of meeting the cooling, heat and power load demands of rural residents on typical summer and winter days, taking the hourly load rate of the internal combustion generator set as the optimization variable, an optimized operation control strategy for the integrated energy system is established to achieve the optimal economy and environmental protection of the system. On the basis of meeting the load demands of rural buildings, promoting net-zero energy consumption buildings and advancing rural energy transformation and developing new energy supply methods are of great significance for reducing the economic pressure on farmers and promoting energy emission reduction in the whole society.

[0022] Advantages of additional aspects of the present invention will be given in part in the following description, become apparent in part from the following description, or be learned through the practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] The accompanying drawings forming a part of this specification are used to provide a further understanding of the present invention. The schematic embodiments and descriptions thereof of the present invention are used to explain the present invention and do not constitute an improper limitation to the present invention.

[0024] Figure 1 is a flowchart of the operation optimization method of the integrated energy system for rural buildings according to an embodiment of the present invention;

[0025] Figure 2 is the rural integrated energy supply system according to an embodiment of the present invention;

[0026] Figure 3 is a flowchart of the operation scheduling optimization stage of the rural integrated energy system according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0027] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0028] It should be noted that the following detailed description is exemplary and is intended to provide further explanation of the present invention. Unless otherwise specified, all technical and scientific terms used herein have the same meaning as commonly understood by those of ordinary skill in the technical field to which the present invention belongs.

[0029] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit the exemplary embodiments according to the present invention. As used herein, unless the context clearly indicates otherwise, the singular forms are also intended to include the plural forms. In addition, it should be understood that when the terms "comprise" and / or "include" are used in this specification, they specify the presence of features, steps, operations, devices, components, and / or combinations thereof.

[0030] The purpose of this embodiment is to design an energy supply system. Therefore, the capacities of all devices, including the capacities of renewable energy power generation devices, storage batteries, combined cooling, heat and power microgrids, and air source heat pumps, are determined, and the output of the internal combustion generator set is determined to minimize the total cost and carbon dioxide emissions.

[0031] Based on the original load data of rural buildings, the present invention uses net-zero energy consumption as the constraint for the building energy supply system, and adopts a multi-objective optimization algorithm to configure the capacities of the key devices of the integrated energy system. In the dispatching optimization stage, the system capacity configuration result is used as the constraint, considering the time-of-use electricity price situation, and the output of the internal combustion generator set in the system is optimized to achieve the optimal economy and environmental protection of the system. On the basis of meeting the load requirements of rural buildings, promoting net-zero energy consumption buildings and advancing rural energy transformation and developing new energy supply methods are of great significance for reducing the economic pressure on farmers and promoting energy emission reduction in the whole society.

[0032] Embodiment 1

[0033] As Figure 1 shown, this embodiment provides an operation optimization method for an integrated energy system for rural buildings, including the following steps:

[0034] Step 1: Considering the energy consumption characteristics of rural areas and the typical resources in rural areas, taking combined cooling, heat and power as the basis of the integrated energy system, combining the combined cooling, heat and power microgrid with the renewable energy power generation system, and at the same time combining devices such as air source heat pumps and storage batteries to construct an integrated energy system with rural energy supply characteristics;

[0035] As one or more embodiments, in Step 1, analyze the unique regional characteristics of rural areas, such as renewable energy such as wind and light, and rural area-specific resources such as biomass raw materials.

[0036] As Figure 2The constructed rural integrated energy system diagram is shown as follows. First, based on the electric cooling ratio obtained from the upper-layer capacity configuration layer, calculate the cooling and heating amounts provided by the air source heat pump and the required electricity consumption. This part of the electricity consumption, together with the rural residents' electric load, serves as the total electric load data. Calculate the power generation of photovoltaic and wind power generation according to the relevant weather data on typical winter / summer days; according to the flowchart shown, first determine whether the renewable energy power generation can meet the total electric load requirement. If it can meet the requirement, charge the excess electricity to the battery, and at the same time, the cooling and heating loads are provided by the gas boiler and the absorption chiller; if the renewable energy cannot meet the total electric load demand, then determine whether the insufficient part of the electric load exceeds the capacity of the internal combustion generator set. If it does not exceed, the internal combustion generator set generates electricity; if it exceeds the capacity of the internal combustion generator set, then while the internal combustion generator set operates at full load, the battery and the power grid make up the difference, and the gas boiler is used to make up the insufficient part of the cooling and heating loads.

[0037] According to the analysis results, design an integrated energy supply system that meets the needs of rural users, considering the building's cooling, heating, and power load data to meet the user load demand.

[0038] Step 2: Use the economic and environmental protection indicators as the objective function of the system, and the energy balance of the integrated energy system as the constraint relationship to configure the capacity of the key equipment of the integrated energy system, while meeting the rural user load demand, improving the overall economy and environmental protection of the energy supply system in rural areas.

[0039] As one or more embodiments, in Step 2, it specifically includes the following steps:

[0040] Step 2.1: Determine the optimization variables in the capacity configuration stage of the integrated energy system;

[0041] Based on the energy balance relationship of the integrated energy system, establish a multi-objective optimization model for capacity configuration, with the capacity C PV , , gas , , ice , WT , <00,00163>, , e , ashp , battery ,

[0041] , PV ,

[0044] ,

[0043] ,

[0042] of the photovoltaic generator set, the capacity C WT of the battery, the capacity C battery of the internal combustion generator set, the capacity C ice of the air source heat pump, the capacity C ashp of the biomass gas equipment, and the electric cooling ratio R gas as the optimization variables. e

[0042] Step 2.2: Analyze the characteristics of the integrated energy system and the equipment model to obtain the coupling relationship between different equipment, specifically including:

[0043] The output power of the photovoltaic generator set changes with the light intensity and environmental temperature. The mathematical model of the photovoltaic generator set is shown in Equation (1).

[0044] P PV ​= P STC I [1 + k(T PV - T r )] / I STC (1)

[0045] Wherein, I is the light intensity; P STC is the maximum test power under standard test conditions (the light intensity I STC is 1000 W / m 2 , T r is 25 °C); k is the power temperature coefficient, with a value of -0.45% / K;

[0046] T PV is the temperature of the photovoltaic power generation module, which can be estimated by testing the ambient temperature.

[0047] T PV = T0 + 0.03I (2)

[0048] Wherein, T0 is the outdoor ambient temperature.

[0049] The output power of the wind turbine mainly varies with the outdoor wind speed. The mathematical model of the wind turbine is shown in Equation (3).

[0050]

[0051] Wherein, P r is the rated power; v, v r , v in , v out are the actual wind speed, rated wind speed, cut-in wind speed, and cut-out wind speed, respectively.

[0052] The characteristic analysis of the internal combustion generator set mainly includes the thermal efficiency, electrical efficiency, and waste heat recovery amount of the unit.

[0053]

[0054] Wherein, G ICE is the gas consumption of the internal combustion generator; η p , η m are the electrical efficiency and thermal efficiency of the internal combustion generator, respectively, and are affected by the load factor; Q jw is the jacket water waste heat; Q exh is the flue gas waste heat; Q loss is the heat loss; Q re is the recoverable heat; η jw and η exh are the efficiency of the jacket water heat exchanger and the efficiency of the flue gas heat exchanger, respectively.

[0055] Internal combustion generator sets have different efficiencies and residual heat amounts at different load rates. The relationships between various parameters of the internal combustion generator sets and the load rate of the equipment are shown in the following formulas (5) and (6).

[0056] η m = 0.005262 + 1.031×r - 1.064×r 2 + 0.3198×r 3 (5)

[0057] η p = 0.7741×exp(0.1846×r) - 0.7741×exp(-36.67×r) (6)

[0058] Among them, r is the load rate of the internal combustion generator set; η m is the thermal efficiency of the internal combustion generator set; η p is the electrical efficiency of the internal combustion generator set.

[0059] The proportionality coefficients of the jacket water heat, flue gas waste heat, and other heat losses of the internal combustion generator set in the total residual heat of the unit satisfy the following formula (7).

[0060] f j + f e + f n = 1 (7)

[0061] Among them, f j , f e , f n are the residual heat ratios of the jacket water waste heat, flue gas waste heat, and other heat losses respectively. The ratios of the jacket water waste heat and the flue gas waste heat are related to the load rate of the internal combustion generator set, as shown in the following formula.

[0062] f j = 0.5606 - 0.4282×r + 0.8131×r 2 - 0.5161×r 3 (8)

[0063]

[0064] During the charge and discharge process of the battery, the state of charge of the energy storage in the t time period is related to the state of charge in the t - 1 time period and the charge and discharge amount of the energy storage in the [t - 1, t] time period (without considering the battery's power attenuation amount). The state of charge of the battery is shown in formula (10).

[0065]

[0066] Among them, S(t) and S(t - 1) are the states of charge of the battery at time t and time t - 1 respectively; η cFor the charging efficiency of the battery, P c is the electrical energy input to the battery; η d is the discharging efficiency of the battery, P d is the electrical energy output from the battery; C ba is the capacity of the battery.

[0067] The air-source heat pump uses high-level energy (electrical energy) to transfer heat from a low-level heat source (air) to a high-level heat source. The characteristics of the air-source heat pump can be expressed as the proportional relationship between the input power and the cooling (heating) capacity, as shown in the following formula.

[0068]

[0069] Among them, is the output cooling / heating capacity of the air-source heat pump; is the input electrical energy of the air-source heat pump; COP HP is the energy efficiency ratio of the air-source heat pump.

[0070] Rural areas are rich in solid biomass waste, and the raw material cost is low, making it suitable for the development of small and medium-sized biomass gas technologies.

[0071] The average annual purchase cost of the biomass gas equipment is as shown in formula (12).

[0072]

[0073] Among them, m Biomass is the flow rate of the combustible gas output per hour by the biomass gas equipment; is the operation and maintenance coefficient of the equipment; CRF is the investment recovery coefficient of the equipment, as shown in the following formula (13).

[0074]

[0075] Among them, i is the interest rate; n is the service life of the equipment.

[0076] Step 2.3: Determine the energy balance and constraint relationships of the integrated energy system.

[0077] The integrated energy system realizes the load balance between the energy supply side and the residential side through the coupling of multiple devices, and the energy balance relationship is as shown in the following formulas (14)-(16).

[0078]

[0079]

[0080]

[0081] Among them, P WT [[ID=6PV The power generation of the photovoltaic power generation unit is P ICE The power generation of the internal combustion power generation unit is P grid The power purchase / sale volume of the integrated energy system from the power grid. A positive value indicates power purchase, and a negative value indicates power sale; The power consumption of the air source heat pump; P Battery The charge / discharge volume of the battery; P load The electrical load of rural residents; The cooling / heating output of the air source heat pump is Q AC The cooling output of the absorption chiller is Q cool and Q heat The cooling, heating and power loads of rural buildings are Q Boiler The heat output of the gas boiler is Q re The surplus heat of the internal combustion power generation unit.

[0082] Step 2.4: Determine the objective function in the capacity configuration stage of the integrated energy system.

[0083] Reasonably evaluating the capacity configuration and operation optimization results of the integrated energy system is of great significance for ensuring the effective operation of the system. For the optimization results in the capacity configuration stage of the rural building integrated energy system, the present invention compares with the separate supply system.

[0084] Select the annual total cost saving rate and the CO2 emission reduction rate as the optimization objectives, as shown in formulas (17)-(18).

[0085]

[0086] Among them, C y is the annual total cost of the separate supply system, is the annual total cost of the integrated energy system. The annual total cost includes the average annual purchase cost, operation and maintenance cost, and operation energy consumption cost of the equipment; is the annual total cost saving rate.

[0087]

[0088] Among them, is the total annual CO2 emission of the separate supply system, is the total annual CO2 emission of the integrated energy system; is the annual CO2 emission reduction rate.

[0089] Among them, in this embodiment, the NSGA-II algorithm is used when configuring the capacity of the key equipment of the integrated energy system.

[0090] The process optimized by the algorithm is as follows:

[0091] ① Initialize the variables to generate the initial population;

[0092] ② Calculate the fitness of the initial population and perform non-dominated sorting;

[0093] ③ Select, crossover, and mutate the population to generate an offspring population;

[0094] ④ Combine the parent population and the offspring population, and perform non-dominated sorting on the new population;

[0095] ⑤ Select a new parent population according to the non-dominated sorting result and crowding degree, and re-enter step ③;

[0096] ⑥ If the optimization result meets the regulation or reaches the maximum optimization generation, the optimization process ends.

[0097] Step 3: Run the scheduling optimization stage, which includes: based on the key equipment capacity configuration results of the integrated energy system obtained in step 2, using the typical daily cooling, heating, and power load data of rural buildings as the basis, by optimizing the hourly output of the internal combustion generator set, performing multi-level optimization to obtain the operation control strategy of the integrated energy system, and further improving the economy and environmental protection of the system on the basis of the capacity configuration stage.

[0098] The specific steps of step 3 include:

[0099] Step 3.1: On the basis of the results of the capacity configuration stage, in the operation scheduling optimization stage, the present invention uses the hourly output of the internal combustion generator set as the optimization variable to further optimize the performance of the system.

[0100] Step 3.2: The constraint in the operation scheduling stage is the capacity of the equipment in the capacity configuration stage.

[0101] Step 3.3: The present invention compares the separate supply system, and uses the daily operation cost saving rate and CO2 emission reduction rate of the integrated energy system operation on a typical day as the objective function. As shown in formulas (19)-(20).

[0102]

[0103] Among them, C d is the operation energy consumption cost of the separate supply system, is the operation energy consumption cost of the integrated energy system on a typical day; is the daily operation cost saving rate.

[0104]

[0105] Among them, CO2E d is the total CO2 emission of the separate supply system, is the total CO2 emission of the integrated energy system on a typical day; is the daily CO2 emission reduction rate.

[0106] As Figure 3 shown, as one or more embodiments, in step 3, taking the capacity configuration result of the key equipment of the integrated energy system as a constraint, taking the cooling, heating and power load data of typical days in rural buildings as a basis, and taking the hourly output of the internal combustion generator set as an optimization variable, a multi-level optimization is carried out to obtain the operation control strategy of the integrated energy system, which specifically includes:

[0107] Calculating the power generation of renewable energy by combining the capacity configuration result of key equipment and the cooling, heating and power load data of typical days in rural buildings;

[0108] Judging whether the power generation of renewable energy meets the electricity load demand. If it meets, charging the excess power to the battery and selling the remaining power after charging to the power grid. Otherwise, comparing it with the capacity of the internal combustion generator set. If it exceeds, the internal combustion generator set generates electricity at full load. Otherwise, internal combustion power generation or unit power generation is carried out. Finally, judging whether the surplus heat meets the cooling and heating load demands. If it meets, the optimization is completed. Otherwise, the gas boiler supplements the difference in the cooling and heating load.

[0109] Among them, if the internal combustion generator set generates electricity at full load, judge whether the electricity load difference exceeds the remaining battery power. If it exceeds, the battery is fully discharged and judge whether there is an electricity load difference. If there is, purchase electricity from the power grid. Otherwise, the battery is partially discharged.

[0110] Embodiment 2

[0111] This embodiment provides an operation optimization system for an integrated energy system for rural buildings, including: an integrated energy system construction module, which is used to take combined cooling, heating and power supply as the basis of the integrated energy system, combine the energy consumption characteristics of rural areas and typical resources in rural areas, and use a battery as an energy storage device to construct an integrated energy system with rural energy supply characteristics;

[0112] A key equipment capacity configuration module, which is used to take economic and environmental protection indicators as the objective function of the system and the energy balance of the integrated energy system as a constraint relationship to configure the capacity of the key equipment of the integrated energy system;

[0113] An operation scheduling optimization module, which is used to take the capacity configuration result of the key equipment of the integrated energy system as a constraint, take the cooling, heating and power load data of typical days in rural buildings as a basis, and take the hourly output of the internal combustion generator set as an optimization variable, and perform multi-level optimization to obtain the operation control strategy of the integrated energy system.

[0114] Embodiment 3

[0115] This embodiment provides a computer-readable storage medium, on which a computer program is stored. When the program is executed by a processor, it implements the steps in the operation optimization method of the integrated energy system for rural buildings as described above.

[0116] Example 4

[0117] This embodiment provides a computer device, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the program, it implements the steps in the operation optimization method of the integrated energy system for rural buildings as described above.

[0118] Those skilled in the art should understand that the embodiments of the present invention can be provided as a method, a system, or a computer program product. Therefore, the present invention can take the form of a hardware embodiment, a software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk memories and optical memories, etc.) containing computer-usable program code.

[0119] The present invention is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to the embodiments of the present invention. It should be understood that each flow and / or block in the flowchart and / or block diagram, and the combination of flows and / or blocks in the flowchart and / or block diagram, can be realized by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, such that the instructions executed by the processor of the computer or other programmable data processing devices generate a device for realizing the functions specified in one Figure 1 flow or multiple flows and / or blocks Figure 1 block or multiple blocks.

[0120] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, such that the instructions stored in the computer-readable memory generate a manufactured article including an instruction device, and the instruction device realizes the functions specified in one Figure 1 flow or multiple flows and / or blocks Figure 1 block or multiple blocks.

[0121] These computer program instructions can also be loaded onto a computer or other programmable data processing device, such that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process. Thus, the instructions executed on the computer or other programmable device provide steps for realizing the functions specified in one Figure 1 flow or multiple flows and / or blocks Figure 1 block or multiple blocks.

[0122] Those of ordinary skill in the art can understand that all or part of the processes in the methods of the above embodiments can be completed by instructing relevant hardware through a computer program. The program can be stored in a computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above methods. Among them, the storage medium can be a magnetic disk, an optical disk, a read-only memory (ROM), or a random access memory (RAM), etc.

[0123] The above are only the preferred embodiments of the present invention and are not intended to limit the present invention. For those skilled in the art, the present invention can have various changes and modifications. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. An operation optimization method for an integrated energy system for rural buildings, characterized in that, It includes the following steps: Taking combined cooling, heat and power supply as the basis of the integrated energy system, combining the energy consumption characteristics of rural areas and typical resources in rural areas, and using a storage battery as the energy storage device, a set of integrated energy system with rural energy supply characteristics is constructed; Taking economic and environmental protection indicators as the objective function of the system and the energy balance of the integrated energy system as the constraint relationship, the capacity of key equipment in the integrated energy system is configured; Taking the configuration result of the capacity of key equipment in the integrated energy system as the constraint, taking the typical daily cooling, heat and power load data of rural buildings as the basis, and taking the hourly output of the internal combustion generator set as the optimization variable, multi-level optimization is carried out to obtain the operation control strategy of the integrated energy system, specifically including: Calculating the power generation of renewable energy in combination with the configuration result of the capacity of key equipment and the typical daily cooling, heat and power load data of rural buildings; Judging whether the power generation of renewable energy meets the electricity load demand. If it meets, the excess electricity is charged to the storage battery, and the remaining electricity after charging is sold to the power grid. Otherwise, it is compared with the capacity of the internal combustion generator set. If it exceeds, the internal combustion generator set generates electricity at full load. Otherwise, internal combustion power generation or unit power generation is carried out. Finally, it is judged whether the remaining heat meets the cooling and heating load demands. If it meets, the optimization is completed. Otherwise, the gas boiler supplements the difference in the cooling and heating load; Among them, if the internal combustion generator set generates electricity at full load, it is judged whether the electricity load difference exceeds the remaining battery power. If it exceeds, the battery is completely discharged and it is judged whether there is an electricity load difference. If there is, electricity is purchased from the power grid. Otherwise, the battery is partially discharged; Among them, taking the energy balance of the integrated energy system as the constraint relationship, the expression is as follows: in, is the power generation of the wind turbine, is the power generation of the photovoltaic generator set, is the power generation of the internal combustion generator set, P grid The amount of electricity purchased / sold from the power grid by the integrated energy system, with positive values indicating electricity purchase and negative values indicating electricity sales; is the power consumption of the air source heat pump; P Battery is the charge / discharge capacity of the battery; P load The electricity load for rural residents; The cooling / heat output of the air source heat pump, Q AC is the cooling capacity output by the absorption chiller, Q cool and Q heat Cooling, heating and electricity loads for rural buildings; Q Boiler The heat output of the gas boiler, It is the waste heat of the internal combustion generator set.

2. The operation optimization method of the integrated energy system for rural buildings according to claim 1, characterized in that Taking economic and environmental protection indicators as the objective function of the system, the expression is: Among them, is the annual total cost saving rate; is the annual total cost of the sub - supply system, is the annual total cost of the integrated energy system. The annual total cost includes the average annual purchase cost, operation and maintenance cost, and operation energy consumption cost of the equipment; wherein, is the annual CO2 emission reduction rate, is the total annual CO2 emissions of the sub-supply system, is the total annual CO2 emissions of the integrated energy system.

3. The operation optimization method of the integrated energy system for rural buildings according to claim 1, characterized in that The capacity of key equipment in the configured integrated energy system includes the capacity of photovoltaic generator sets C PV , the capacity of wind turbine generator sets C WT , the capacity of storage batteries C battery , the capacity of internal combustion generator sets C ice , the capacity of air source heat pumps C ashp and the capacity of biomass gas equipment C gas .

4. The operation optimization system of the integrated energy system for rural buildings adopts the operation optimization method of the integrated energy system for rural buildings as described in any one of claims 1-3, and is characterized in that, It includes: An integrated energy system construction module, which is used to take combined cooling, heat and power supply as the basis of the integrated energy system, combine the energy consumption characteristics of rural areas and typical resources in rural areas, and use a storage battery as the energy storage device to construct a set of integrated energy system with rural energy supply characteristics; A key equipment capacity configuration module, which is used to take economic and environmental protection indicators as the objective function of the system and the energy balance of the integrated energy system as the constraint relationship to configure the capacity of key equipment in the integrated energy system; An operation scheduling optimization module, which is used to take the configuration result of the capacity of key equipment in the integrated energy system as the constraint, take the typical daily cooling, heat and power load data of rural buildings as the basis, and take the hourly output of the internal combustion generator set as the optimization variable to carry out multi-level optimization to obtain the operation control strategy of the integrated energy system.

5. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by a processor, it implements the steps in the operation optimization method of the integrated energy system for rural buildings as described in any one of claims 1-3.

6. A computer device, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the steps in the operation optimization method of the integrated energy system for rural buildings as described in any one of claims 1-3.

Images