Rural comprehensive energy system flexibility resource configuration and comprehensive evaluation method and system

Abstract

The invention relates to the technical field of power grid optimal configuration, and discloses a flexible resource configuration and comprehensive evaluation method and system for a rural comprehensive energy system, and the method comprises the steps: obtaining the output information of various types of biomass energy, and calculating the available amount of various types of biomass energy; the method comprises the following steps: determining a capacity configuration relationship of equipment in a biomass energy combined heat and power generation power plant on the basis of available quantity, constructing a flexible resource configuration model of the rural comprehensive energy system on the basis of the capacity configuration relationship of the equipment by taking minimization of the comprehensive cost of the system as a target, and solving the model to obtain an optimal flexible resource configuration result. According to the method, the available amount of various biomass energy is accurately quantified, resource waste or insufficient supply caused by extensive estimation in a traditional method is effectively avoided, configuration of internal equipment of a biomass energy combined heat and power generation power plant is systematically coordinated, flexible rural resources are fully excavated and utilized, multi-energy complementary utilization of a rural comprehensive energy system is promoted, and the energy utilization rate is increased. Therefore, efficient and low-carbon operation of the rural comprehensive energy system is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of power grid optimization configuration, and in particular to a method and system for configuring and comprehensively evaluating flexibility resources of a rural integrated energy system. Background Art

[0002] In the current rural energy structure, flexible resources such as biomass cogeneration offer the advantages of low carbon, environmental protection, and flexible regulation, but the dynamic matching of their output characteristics with load demand is difficult. Furthermore, seasonal fluctuations in the supply of biomass raw materials, as well as capacity constraints and response delays in thermal energy storage equipment, significantly increase the complexity of energy supply and demand balance regulation. At the same time, the coupling of multiple energy flows, such as electricity, heat, and gas, within rural integrated energy systems continues to deepen. Traditional extensive resource allocation models only roughly estimate the total amount of biomass energy without detailing the types of raw materials and their collectible quantities. Furthermore, they lack systematic consideration of the configuration of equipment within biomass cogeneration plants, often leading to power mismatches between devices (e.g., disconnection between gas turbine power generation and waste heat recovery), making it difficult to improve the energy supply level of rural integrated energy systems. Summary of the Invention

[0003] The technical problem to be solved by the present invention is to provide a method and system for flexible resource allocation and comprehensive evaluation of rural integrated energy systems, which can accurately quantify the available amount of various types of biomass energy in rural areas, and systematically coordinate the configuration of internal equipment of biomass cogeneration power plants to achieve efficient and low-carbon operation of rural integrated energy systems.

[0004] In order to solve the above technical problems, a technical solution adopted by the present invention is: A method for configuring and comprehensively evaluating flexibility resources of a rural integrated energy system comprises the following steps: Obtain the production information of various types of biomass energy and calculate the available amount of various types of biomass energy; Determining the capacity configuration relationship of each device in the biomass energy cogeneration power plant based on the available amount of each type of biomass energy; With the goal of minimizing the overall system cost, a flexibility resource allocation model for the rural integrated energy system is constructed based on the capacity configuration relationship of each device; The flexibility resource allocation model is solved to obtain the optimal flexibility resource allocation result.

[0005] In order to solve the above technical problems, another technical solution adopted by the present invention is: A rural integrated energy system flexibility resource configuration and comprehensive evaluation system includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the following steps are implemented: Obtain the production information of various types of biomass energy and calculate the available amount of various types of biomass energy; Determining the capacity configuration relationship of each device in the biomass energy cogeneration power plant based on the available amount of each type of biomass energy; With the goal of minimizing the overall system cost, a flexibility resource allocation model for the rural integrated energy system is constructed based on the capacity configuration relationship of each device; The flexibility resource allocation model is solved to obtain the optimal flexibility resource allocation result.

[0006] The beneficial effects of the present invention are: obtaining the output information of various types of biomass energy, and calculating the available amount of various types of biomass energy, determining the capacity configuration relationship of various equipment in the biomass energy cogeneration power plant based on the available amount of various types of biomass energy, and constructing a flexibility resource configuration model of the rural comprehensive energy system based on the capacity configuration relationship of each equipment with the goal of minimizing the comprehensive cost of the system, solving the flexibility resource configuration model, and obtaining the optimal flexibility resource configuration result. In this way, the available amount of various types of biomass energy is accurately quantified in combination with the actual raw material distribution in rural areas, effectively avoiding the waste of resources or insufficient supply caused by extensive estimation of traditional methods, and introducing the determined capacity configuration relationship of each equipment into the flexibility resource configuration model, systematically coordinating the configuration of internal equipment of the biomass energy cogeneration power plant, fully tapping and utilizing the flexibility resources in rural areas, and promoting the multi-energy complementary utilization of the rural comprehensive energy system, so as to improve the energy supply level of the rural comprehensive energy system and reduce carbon emissions, thereby realizing efficient and low-carbon operation of the rural comprehensive energy system. BRIEF DESCRIPTION OF THE DRAWINGS

[0007] Figure 1 A flowchart of a method for configuring and comprehensively evaluating flexibility resources in a rural integrated energy system according to an embodiment of the present invention; Figure 2 This is a structural diagram of a rural integrated energy system flexibility resource configuration and comprehensive evaluation system according to an embodiment of the present invention. DETAILED DESCRIPTION

[0008] To illustrate the technical content, achieved objectives and effects of the present invention in detail, the following description is given in conjunction with the embodiments and accompanying drawings.

[0009] Please refer to Figure 1 , a rural integrated energy system flexibility resource allocation and comprehensive evaluation method, including the steps of: Obtain the production information of various types of biomass energy and calculate the available amount of various types of biomass energy; Determining the capacity configuration relationship of each device in the biomass energy cogeneration power plant based on the available amount of each type of biomass energy; With the goal of minimizing the overall system cost, a flexibility resource allocation model for the rural integrated energy system is constructed based on the capacity configuration relationship of each device; The flexibility resource allocation model is solved to obtain the optimal flexibility resource allocation result.

[0010] From the above description, it can be seen that the beneficial effects of the present invention are: obtaining the output information of various types of biomass energy, and calculating the available amount of various types of biomass energy, determining the capacity configuration relationship of each equipment in the biomass energy cogeneration power plant based on the available amount of each type of biomass energy, with the goal of minimizing the overall cost of the system, constructing a flexibility resource configuration model of the rural integrated energy system based on the capacity configuration relationship of each equipment, solving the flexibility resource configuration model, and obtaining the optimal flexibility resource configuration result. In this way, combined with the actual raw material distribution in rural areas, the available amount of various types of biomass energy is accurately quantified, effectively avoiding the waste of resources or insufficient supply caused by extensive estimation of traditional methods, and introducing the determined capacity configuration relationship of each equipment into the flexibility resource configuration model, systematically coordinating the configuration of internal equipment of the biomass energy cogeneration power plant, fully tapping and utilizing the flexibility resources in rural areas, and promoting the multi-energy complementary utilization of the rural integrated energy system, so as to improve the energy supply level of the rural integrated energy system and reduce carbon emissions, thereby realizing efficient and low-carbon operation of the rural integrated energy system.

[0011] Furthermore, the available amount of various types of biomass energy is calculated including: The available amount of straw is calculated based on the theoretical annual yield of various crops and the straw-to-grain ratio; Calculate the available amount of livestock and poultry manure based on the amount of livestock and poultry manure obtained.

[0012] From the above description, it can be seen that the main considerations are the straw resources in rural areas and the available amount of biomass energy raw materials from livestock and poultry manure in farms. By introducing the straw-to-grain ratio and the utilization coefficient of straw, the energy potential of farmland waste can be more accurately evaluated, and equipment idleness or over-exploitation due to raw material shortages can be reduced, thus avoiding resource waste and realizing the resource utilization of rural waste. This is conducive to promoting the transformation of rural energy systems towards high efficiency, low carbon and sustainability.

[0013] Furthermore, determining the capacity configuration relationship of each device in the biomass energy cogeneration power plant based on the available amount of each type of biomass energy includes: Calculating the total amount of biogas that can be generated based on the available amount of straw and the available amount of livestock and poultry manure; Calculating the capacity of the gas turbine based on the total amount of biogas that can be produced, the biogas-to-electricity conversion rate, and the expected equipment utilization rate of the biomass cogeneration power plant, and calculating the capacity of the waste heat boiler based on the capacity of the gas turbine and the thermal efficiency of the waste heat boiler; The capacity of the biogas tank is calculated based on the output power of the gas turbine, the biogas production efficiency and the biogas-electricity conversion rate, and the capacity of the gas storage device is calculated based on the capacity of the gas turbine and the biogas-electricity conversion rate.

[0014] Furthermore, the capacity of the gas turbine is calculated based on the total amount of biogas that can be produced, the biogas-electricity conversion rate, and the expected equipment utilization rate of the biomass cogeneration power plant, specifically: ; Where, Q GT represents the capacity of the gas turbine, represents the biogas-electricity conversion rate, μ a Represents the expected equipment utilization of the biomass cogeneration power plant.

[0015] From the above description, it can be seen that by calculating the biogas production based on the available amount of various types of biomass energy and determining the capacity configuration relationship of the gas turbine, waste heat boiler, biogas tank and gas storage equipment accordingly, it is possible to achieve reasonable matching between equipment, avoid excess or insufficient capacity, improve the overall energy utilization efficiency of the biomass energy cogeneration system, reduce operating costs, enhance the stability and reliability of the system, and promote the resource utilization of rural waste.

[0016] Furthermore, with the goal of minimizing the overall system cost, a flexibility resource allocation model for the rural integrated energy system is constructed based on the capacity configuration relationship of each device, including: Constructing an objective function for minimizing the overall system cost based on the capacity configuration relationship of each device; Establishing constraints for the objective function, wherein the constraints include power balance constraints, thermal balance constraints, power purchase constraints, and equipment output constraints; A flexibility resource configuration model for the rural integrated energy system is generated according to the objective function and the constraint conditions.

[0017] From the above description, it can be seen that the objective function of minimizing the comprehensive system cost is based on the capacity configuration relationship of each device. By comprehensively considering the equipment capacity configuration, the power balance constraints, thermal energy balance constraints, power purchase constraints and equipment output constraints are established, which realizes the precise matching of energy supply and demand, optimizes the operating efficiency of the rural integrated energy system, reduces the overall operating cost, improves the energy supply level of the rural integrated energy system, and reduces carbon emissions.

[0018] Furthermore, solving the flexibility resource allocation model to obtain the optimal flexibility resource allocation result includes: Determining unit thermal energy storage, and calculating a comprehensive system cost based on the unit thermal energy storage and the flexibility resource allocation model; Determine whether the calculated system comprehensive cost is less than or equal to the system comprehensive cost of any configuration scheme in the preset configuration library; if not, increase the unit thermal energy storage; if so, add the flexibility resource configuration result corresponding to the calculated system comprehensive cost as a configuration scheme to the preset configuration library, and increase the unit thermal energy storage; If the increased unit thermal energy storage does not exceed the preset value, returning to the step of calculating the system comprehensive cost based on the unit thermal energy storage and the flexibility resource allocation model; If the increased unit thermal energy storage exceeds a preset value, a configuration scheme with the lowest system comprehensive cost is selected from the preset configuration library as the optimal flexibility resource configuration result.

[0019] As can be seen from the above description, the difference in unit thermal energy storage leads to restrictions on its own heat release and charging power, which in turn affects the heat release power of the waste heat boiler and, in turn, its capacity configuration. The capacity configuration relationship between the various devices within the aforementioned biomass cogeneration power plant describes the capacity configuration relationship between the various devices. Therefore, unit thermal energy storage has an impact on the capacity configuration of each device. Therefore, changing the unit thermal energy storage will affect the overall cost of the system. By iteratively optimizing the unit thermal energy storage and dynamically updating the configuration library, we can accurately locate the flexible resource configuration plan that minimizes the overall cost of the system, improve the model solution efficiency and configuration accuracy, and achieve the optimal balance between thermal energy storage capacity and system economy.

[0020] Furthermore, it also includes: Calculate the rural users' per capita energy cost index, environmental protection index, energy efficiency index and renewable energy power generation ratio index based on the optimal flexibility resource allocation result; Determine whether the rural user per capita energy cost index, the environmental protection index, the energy utilization efficiency index and the renewable energy power generation ratio index are all within a preset reasonable range; if not, re-solve the flexibility resource allocation model.

[0021] From the above description, it can be seen that key indicators such as per capita energy consumption cost of rural users, environmental protection, energy utilization efficiency and proportion of renewable energy power generation under the optimal flexibility resource allocation results are calculated and evaluated. If the indicators do not meet expectations, the model is re-solved to further optimize the configuration plan to ensure that all indicators are within a reasonable range, thereby achieving more efficient and low-carbon operation of the rural integrated energy system.

[0022] Furthermore, the rural users' per capita energy cost index, environmental protection index, energy efficiency index and renewable energy power generation ratio index used to calculate the optimal flexibility resource allocation result include: Calculate the per capita energy cost index of rural users based on the total annual energy consumption expenditure of the rural users corresponding to the optimal flexibility resource allocation result and the total income of the users from selling biomass energy raw materials; Calculate environmental protection indicators based on the penalty costs of carbon dioxide, sulfur dioxide, nitrogen oxides and dust generated annually by the rural integrated energy system corresponding to the optimal flexibility resource allocation result; Calculating an energy utilization efficiency index based on the electricity consumption, heat consumption, biogas consumption and the total energy supply of the rural integrated energy system corresponding to the optimal flexibility resource allocation result; The renewable energy power generation proportion index is calculated based on the renewable energy power generation and the total system power generation corresponding to the optimal flexibility resource allocation result.

[0023] Furthermore, the per capita energy cost index of rural users is calculated as follows: ; Where, C rj represents the total energy cost per capita for rural users, C pur Indicates the user's total annual energy consumption expenditure, C sell It represents the total income of users from selling biomass energy raw materials. N R represents the total number of rural users; Calculate environmental protection indicators, specifically: ; Where, C P represents the penalty cost for air pollution emissions, 、 、 、 C DUST They represent the penalty costs of carbon dioxide, sulfur dioxide, nitrogen oxides and dust generated by the annual operation of the rural integrated energy system respectively; Calculate the energy efficiency index, specifically: ; Where, represents the energy utilization efficiency of the rural integrated energy system, E Indicates power consumption, H Indicates the amount of heat used, G Indicates the amount of biogas used, P It represents the total energy supply of the rural integrated energy system; Calculate the proportion of renewable energy power generation, specifically: ; Where, Z represents the proportion of renewable energy generation, E RENEW is the amount of electricity generated by renewable energy, E NETWORK Indicates the total power generation of the system.

[0024] From the above description, it can be seen that calculating key indicators such as per capita energy consumption cost of rural users, environmental protection, energy utilization efficiency and the proportion of renewable energy power generation under the optimal flexibility resource allocation results can comprehensively measure the economy, environmental friendliness, energy efficiency level and renewable energy utilization level of the rural integrated energy system, ensuring that the system configuration plan not only meets the requirements of economy, but also meets the requirements of environmental protection and sustainable development, thereby improving the overall performance and comprehensive benefits of the rural integrated energy system.

[0025] Please refer to Figure 2 Another embodiment of the present invention provides a rural integrated energy system flexibility resource configuration and comprehensive evaluation system, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, each step in the above-mentioned rural integrated energy system flexibility resource configuration and comprehensive evaluation method is implemented.

[0026] The above-mentioned rural integrated energy system flexibility resource configuration and comprehensive evaluation method and system of the present invention can be applied to rural areas, and the following is an explanation through specific implementation methods: Please refer to Figure 1 , embodiment 1 of the present invention is: A method for configuring and comprehensively evaluating flexibility resources of a rural integrated energy system comprises the following steps: S1. Obtain the production information of various types of biomass energy and calculate the available amount of various types of biomass energy, including S11-S13: S11. Obtain the production information of various types of biomass energy.

[0027] S12. Calculate the available amount of straw based on the theoretical annual yield of various crops and the straw-to-grain ratio, specifically: ; Where, G straw Indicates the available amount of straw (in tons), I represents the total number of crop types, p i Indicates the i The theoretical annual yield of crops, r i Indicates the iThe straw-to-grain ratio of crop straw, Indicates the i The utilization coefficient of crop straw.

[0028] S13. Calculate the available amount of livestock and poultry manure based on the amount of livestock and poultry manure obtained, specifically: ; Where, G manure Indicates the available amount of livestock and poultry manure (in tons), R Indicates the number of farms, p rm represents the amount of livestock and poultry manure produced by the rth farm, Indicates the r Utilization coefficient of livestock and poultry manure in each farm.

[0029] The formula for calculating the usable amount of straw determines the amount of straw produced by each crop based on the product of its annual yield and the grass-to-grain ratio. This amount is then multiplied by the straw utilization coefficient to determine the amount of straw that can actually be used for energy. The grass-to-grain ratio is the core parameter for measuring the relationship between crop straw production and crop yield. For example, if a crop has an annual yield of 1 ton and a grass-to-grain ratio of 0.8, then 1 ton of that crop will produce 0.8 tons of straw. The utilization coefficient refers to the proportion of straw produced by a crop that can be used for energy after deducting feed, returning to the field, and natural losses. The formula for calculating the usable amount of livestock and poultry manure refers to the proportion of livestock and poultry manure produced by a farm that can be used for energy after deducting losses due to loss, returning to the field, and waste. The amount of manure actually available for energy is calculated by multiplying the manure production by the utilization coefficient. The above calculation method takes into account the differences in crop types and the different production of livestock and poultry manure in farms, which can avoid overall estimation bias. At the same time, it takes into account resource loss and can more accurately quantify the available amount of biomass energy.

[0030] S2. Determining the capacity configuration relationship of each device in the biomass energy cogeneration power plant based on the available amount of each type of biomass energy, specifically including S21-S23: S21. Calculate the total amount of biogas that can be generated based on the available amount of straw and the available amount of livestock and poultry manure, specifically: ; Where, G bio Indicates the total amount of biogas that can be produced. Indicates the energy utilization rate of biomass raw materials, 、 Represent the biogas yields of straw and livestock and poultry manure respectively.

[0031] S22. Calculate the capacity of the gas turbine based on the total amount of biogas that can be generated, the biogas-to-electricity conversion rate, and the expected equipment utilization rate of the biomass cogeneration power plant, and calculate the capacity of the waste heat boiler based on the capacity of the gas turbine and the thermal efficiency of the waste heat boiler.

[0032] The biogas power generation potential is obtained based on the biogas-electricity conversion rate, and the capacity of the biogas gas turbine is configured in combination with the expected equipment utilization rate of the cogeneration system. Therefore, the capacity of the gas turbine is calculated as follows: ; Where, Q GT represents the capacity of the gas turbine, represents the biogas-electricity conversion rate, μ a Represents the expected equipment utilization of the biomass cogeneration power plant.

[0033] The waste heat boiler is mainly used to collect waste heat from gas turbine exhaust. Therefore, the waste heat boiler is related to the exhaust volume of the gas turbine. The capacity of the waste heat boiler is calculated as follows: ; ; Where, H GT Indicates the rated exhaust waste heat power of the gas turbine, μ re represents the gas turbine waste heat recovery efficiency, represents the power generation efficiency of the gas turbine, H RB Indicates the capacity of the waste heat boiler, Indicates the thermal efficiency of the waste heat boiler.

[0034] The present invention configures the gas turbine capacity based on the biogas power generation potential and equipment utilization rate to ensure the efficient conversion of biogas energy into electricity. The waste heat boiler is designed in a linked manner with the gas turbine exhaust volume (such as rated exhaust waste heat power and waste heat recovery efficiency) to achieve secondary utilization of thermal energy. The biogas tank and gas storage device are referenced to the gas turbine gas consumption and a margin is reserved to ensure gas supply reliability.

[0035] S23. Calculate the capacity of the biogas pool based on the output power of the gas turbine, the biogas production efficiency, and the biogas-to-electricity conversion rate, and calculate the capacity of the gas storage device based on the capacity of the gas turbine and the biogas-to-electricity conversion rate.

[0036] The configuration of biogas tank capacity needs to refer to the gas consumption of gas turbine. At the same time, in order to ensure the reliability of gas supply, a certain margin needs to be considered when configuring the biogas tank capacity. Therefore, the capacity of the biogas tank is calculated as follows: ; Where, Q BIO Indicates the capacity of the biogas tank, represents the margin coefficient, P GT,t Indicates that the gas turbine is in the period t The output power, μ bio Indicates biogas production efficiency.

[0037] Gas storage equipment is an energy storage device, which is mainly used to solve the problem of uneven gas production in the biogas tank during anaerobic fermentation, so that the biogas input pressure received by the gas turbine is relatively stable. Its capacity configuration takes into account the continuous operation of the gas turbine at maximum power. m Hourly gas consumption. Therefore, calculate the capacity of the gas storage equipment as follows: ; Where, Q sto Indicates the capacity of the gas storage equipment, m Indicates the continuous running time (unit: hours).

[0038] S3. With the goal of minimizing the overall system cost, a flexibility resource allocation model for the rural integrated energy system is constructed based on the capacity configuration relationship of each device, specifically including S31-S33: S31. Constructing an objective function for minimizing the overall system cost based on the capacity configuration relationship of each device, specifically: ; ; ; ; ; ; ; Where, C Represents the overall system cost, C 1. C 2. C 3. C 4. C 5 represents the system energy cost, operation and maintenance cost, equipment investment cost, wind and solar power curtailment penalty cost, and carbon emission penalty cost, respectively. c e Indicates the time-of-use electricity price, P t,buy Indicates time period t System purchased power,c bio represents the biogas price, represents the unit maintenance cost of equipment j, P t,j Indicates time period t equipment j The power, Indicates the length of the period, Representation device j The unit capacity investment cost, Representation device j capacity, R j Representation device j The investment recovery coefficient, r represents the discount rate, Y j Representation device j service life, c wt represents the system wind curtailment penalty coefficient, Indicates time period t System abandoned wind power, c pv Indicates the system light abandonment penalty coefficient, Indicates time period t System abandoned optical power, Indicates the penalty amount per unit of CO2 emissions, = represents the carbon emission factor of the power grid. Equipment includes gas turbines, waste heat boilers, biogas tanks, and gas storage equipment.

[0039] S32. Establishing constraint conditions of the objective function, wherein the constraint conditions include power balance constraint, thermal energy balance constraint, power purchase constraint, and equipment output constraint.

[0040] The power balance constraint is specifically: ; Where, P t,WT 、P t,PV Respectively represent wind turbines and photovoltaics in the time period t of efforts, P t,load Indicates time period t Residential electricity load.

[0041] The thermal energy balance constraint is specifically: ; Where, H t,rb It represents the thermal power output of the waste heat boiler in time period t, H t,disand H t,cha Represents the thermal energy storage in the time period t The heat release and charging power, H t,load Indicates that residents are in t heat load.

[0042] The above electrical energy and thermal energy balance constraints ensure the balance between supply and demand of system energy.

[0043] The electricity purchase constraints are specifically: ; Where, Indicates the maximum amount of electricity the system can purchase from the grid.

[0044] Power purchase constraints limit the maximum amount of electricity the system can purchase from the grid, encourage the system to prioritize the use of internal renewable energy and biomass energy for power generation, reduce dependence on the external grid, and help reduce carbon emissions generated by power purchases.

[0045] The equipment output constraints are specifically: ; Where, 、 Respectively represent devices j The upper and lower limits of output.

[0046] Equipment output constraints define the upper and lower limits of each device's output to prevent equipment from overloading and causing failure or shortening its lifespan.

[0047] S33. Generate a flexibility resource allocation model for the rural integrated energy system based on the objective function and the constraint conditions.

[0048] S4. Solving the flexibility resource allocation model to obtain an optimal flexibility resource allocation result, specifically including S41-S44: S41. Determine unit thermal energy storage, and calculate the system comprehensive cost based on the unit thermal energy storage and the flexibility resource configuration model.

[0049] Since the heat release and charging power of the thermal energy storage are included in the thermal energy balance constraint, the difference in unit thermal energy storage leads to restrictions on its own heat release and charging power, which in turn affects the heat release power of the waste heat boiler and further affects its capacity configuration. The capacity configuration relationship between each device within the aforementioned biomass cogeneration power plant describes the capacity configuration relationship between each device, so the unit thermal energy storage has an impact on the capacity configuration of each device. Therefore, changing the unit thermal energy storage will affect the overall cost of the system.

[0050] S42. Determine whether the calculated system comprehensive cost is less than or equal to the system comprehensive cost of any configuration scheme in the preset configuration library. If not, increase the unit thermal energy storage. If so, add the flexibility resource configuration result corresponding to the calculated system comprehensive cost as a configuration scheme to the preset configuration library, and increase the unit thermal energy storage.

[0051] The original configuration schemes in the preset configuration library are pre-set configuration schemes, and the costs are pre-calculated.

[0052] S43. If the increased unit thermal energy storage does not exceed the preset value, return to the step of calculating the system comprehensive cost based on the unit thermal energy storage and the flexibility resource configuration model in S41.

[0053] S44. If the increased unit thermal energy storage exceeds a preset value, a configuration scheme with the lowest system comprehensive cost is selected from the preset configuration library as the optimal flexibility resource configuration result.

[0054] In order to develop and utilize the flexible resource of rural biomass energy, it is necessary to reasonably configure the capacity of the required equipment according to the actual biomass energy production in rural areas. At the same time, rural areas have energy needs for electricity, heat, etc., and biomass cogeneration can not only efficiently utilize biomass energy, but also produce electricity and heat to meet the energy needs of rural areas. Therefore, the purpose of the above-mentioned configuration method of the present invention is to provide an economical and flexible resource configuration plan for fully developing and utilizing the abundant biomass energy in rural areas and meeting the energy needs of rural areas. In actual rural scenarios, it is necessary to first collect the annual output of crops and livestock and poultry manure in rural areas, and then calculate the available amount of these biomass energies. Furthermore, based on the obtained available amount of biomass energy and the relationship between the capacity of each equipment of biomass cogeneration, and taking into account the balance of supply and demand of rural energy, the most economical configuration plan is designed, which can not only fully tap and utilize the flexible resources in rural areas, but also save costs and meet the energy needs of rural areas.

[0055] In an optional embodiment, the method further includes: S5. Calculate the rural users' per capita energy cost index, environmental protection index, energy efficiency index, and renewable energy power generation ratio index based on the optimal flexibility resource allocation result, specifically including S51-S54: S51. Calculate the per capita energy cost index for rural users based on the total annual energy consumption expenditure of the rural users corresponding to the optimal flexibility resource allocation result and the total income of the users from selling biomass energy raw materials, specifically: ; Where, C rj represents the total energy cost per capita for rural users, C purIndicates the user's total annual energy consumption expenditure, C sell It represents the total income of users from selling biomass energy raw materials. N R Indicates the total number of rural users.

[0056] S52. Calculate environmental protection indicators based on the penalty costs of carbon dioxide, sulfur dioxide, nitrogen oxides, and dust generated annually by the rural integrated energy system corresponding to the optimal flexibility resource allocation result, specifically: ; Where, C P represents the penalty cost for air pollution emissions, 、 、 、 C DUST They represent the penalty costs of carbon dioxide, sulfur dioxide, nitrogen oxides and dust generated annually by the operation of the rural integrated energy system.

[0057] S53. Calculate the energy utilization efficiency index based on the electricity consumption, heat consumption, biogas consumption, and the total energy supply of the rural integrated energy system corresponding to the optimal flexibility resource allocation result, specifically: ; Where, represents the energy utilization efficiency of the rural integrated energy system, E Indicates power consumption, H Indicates the amount of heat used, G Indicates the amount of biogas used, P Represents the total energy supply of the rural integrated energy system.

[0058] S54. Calculate the renewable energy power generation ratio indicator based on the renewable energy power generation corresponding to the optimal flexibility resource allocation result and the total system power generation, specifically: ; Where, Z represents the proportion of renewable energy generation, E RENEW is the amount of electricity generated by renewable energy, E NETWORK Indicates the total power generation of the system.

[0059] S6. Determine whether the rural user per capita energy cost index, the environmental protection index, the energy utilization efficiency index and the renewable energy power generation ratio index are all within a preset reasonable range; if not, re-solve the flexibility resource allocation model.

[0060] Please refer to Figure 2 , the second embodiment of the present invention is: A rural integrated energy system flexibility resource configuration and comprehensive evaluation system includes a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, each step of the rural integrated energy system flexibility resource configuration and comprehensive evaluation method in Example 1 is implemented.

[0061] In summary, the present invention provides a method and system for flexible resource allocation and comprehensive evaluation of a rural integrated energy system, which obtains the output information of various types of biomass energy, calculates the available amount of various types of biomass energy, and determines the capacity configuration relationship of various equipment in a biomass energy cogeneration power plant based on the available amount of various types of biomass energy. With the goal of minimizing the overall cost of the system, a flexible resource allocation model for a rural integrated energy system is constructed based on the capacity configuration relationship of each equipment. The flexible resource allocation model is solved to obtain the optimal flexible resource allocation result. In this way, the available amount of various types of biomass energy is accurately quantified in combination with the actual raw material distribution in rural areas, which effectively avoids the waste of resources or insufficient supply caused by extensive estimation in traditional methods, and the determined capacity allocation of each equipment is combined with the actual raw material distribution in rural areas. The capacity configuration relationship is introduced into the flexibility resource allocation model, which systematically coordinates the configuration of internal equipment of the biomass cogeneration power plant, fully explores and utilizes the flexibility resources in rural areas, and promotes the multi-energy complementary utilization of the rural integrated energy system, so as to improve the energy supply level of the rural integrated energy system and reduce carbon emissions, thereby realizing efficient and low-carbon operation of the rural integrated energy system; in addition, based on the capacity configuration relationship of each device, an objective function of minimizing the comprehensive cost of the system is constructed, and the equipment capacity configuration is comprehensively considered, and the electricity balance constraint, thermal energy balance constraint, power purchase constraint and equipment output constraint are established, thereby realizing accurate matching of energy supply and demand, optimizing the operation efficiency of the rural integrated energy system, reducing the overall operation cost, improving the energy supply level of the rural integrated energy system and reducing carbon emissions.

[0062] The above descriptions are merely embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent transformations made using the contents of the present invention's description and drawings, or directly or indirectly applied in related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A method for resource allocation and comprehensive evaluation of flexibility of rural integrated energy systems, characterized by: Including steps: Obtain the production information of various types of biomass energy and calculate the available amount of various types of biomass energy; Determining the capacity configuration relationship of each device in the biomass energy cogeneration power plant based on the available amount of each type of biomass energy; With the goal of minimizing the overall system cost, a flexibility resource allocation model for the rural integrated energy system is constructed based on the capacity configuration relationship of each device; The flexibility resource allocation model is solved to obtain the optimal flexibility resource allocation result.

2. A method for configuring and comprehensively evaluating flexibility resources of a rural integrated energy system according to claim 1, characterized in that: Calculation of the available amount of various types of biomass energy includes: The available amount of straw is calculated based on the theoretical annual yield of various crops and the straw-to-grain ratio; Calculate the available amount of livestock and poultry manure based on the amount of livestock and poultry manure obtained.

3. A method for configuring and comprehensively evaluating flexibility resources of a rural integrated energy system according to claim 2, characterized in that: The capacity configuration relationship of each device in the biomass cogeneration power plant is determined based on the available amount of each type of biomass energy, including: Calculating the total amount of biogas that can be generated based on the available amount of straw and the available amount of livestock and poultry manure; Calculating the capacity of the gas turbine based on the total amount of biogas that can be produced, the biogas-to-electricity conversion rate, and the expected equipment utilization rate of the biomass cogeneration power plant, and calculating the capacity of the waste heat boiler based on the capacity of the gas turbine and the thermal efficiency of the waste heat boiler; The capacity of the biogas tank is calculated based on the output power of the gas turbine, the biogas production efficiency and the biogas-electricity conversion rate, and the capacity of the gas storage device is calculated based on the capacity of the gas turbine and the biogas-electricity conversion rate.

4. A method for configuring and comprehensively evaluating flexibility resources of a rural integrated energy system according to claim 3, characterized in that: The capacity of the gas turbine is calculated based on the total amount of biogas that can be produced, the biogas-to-electricity conversion rate, and the expected equipment utilization rate of the biomass cogeneration power plant, specifically: ； Where, Q GT represents the capacity of the gas turbine, represents the biogas-electricity conversion rate, μ a Represents the expected equipment utilization of the biomass cogeneration power plant.

5. A method for configuring and comprehensively evaluating flexibility resources of a rural integrated energy system according to claim 1, characterized in that: With the goal of minimizing the overall system cost, a flexibility resource allocation model for the rural integrated energy system is constructed based on the capacity configuration relationship of each device, including: Constructing an objective function for minimizing the overall system cost based on the capacity configuration relationship of each device; Establishing constraints for the objective function, wherein the constraints include power balance constraints, thermal balance constraints, power purchase constraints, and equipment output constraints; A flexibility resource configuration model for the rural integrated energy system is generated according to the objective function and the constraint conditions.

6. A method for configuring and comprehensively evaluating flexibility resources of a rural integrated energy system according to claim 1, characterized in that: Solving the flexibility resource allocation model to obtain the optimal flexibility resource allocation results includes: Determining unit thermal energy storage, and calculating a comprehensive system cost based on the unit thermal energy storage and the flexibility resource allocation model; Determine whether the calculated system comprehensive cost is less than or equal to the system comprehensive cost of any configuration scheme in the preset configuration library; if not, increase the unit thermal energy storage; if so, add the flexibility resource configuration result corresponding to the calculated system comprehensive cost as a configuration scheme to the preset configuration library, and increase the unit thermal energy storage; If the increased unit thermal energy storage does not exceed the preset value, returning to the step of calculating the system comprehensive cost based on the unit thermal energy storage and the flexibility resource allocation model; If the increased unit thermal energy storage exceeds a preset value, a configuration scheme with the lowest system comprehensive cost is selected from the preset configuration library as the optimal flexibility resource configuration result.

7. A method for configuring and comprehensively evaluating flexibility resources of a rural integrated energy system according to claim 1, characterized in that: Also includes: Calculate the rural users' per capita energy cost index, environmental protection index, energy efficiency index and renewable energy power generation ratio index based on the optimal flexibility resource allocation result; Determine whether the rural user per capita energy cost index, the environmental protection index, the energy utilization efficiency index and the renewable energy power generation ratio index are all within a preset reasonable range; if not, re-solve the flexibility resource allocation model.

8. A method for configuring and comprehensively evaluating flexibility resources of a rural integrated energy system according to claim 7, characterized in that: The rural users’ per capita energy cost index, environmental protection index, energy efficiency index, and renewable energy power generation ratio index used to calculate the optimal flexibility resource allocation result include: Calculate the per capita energy cost index of rural users based on the total annual energy consumption expenditure of the rural users corresponding to the optimal flexibility resource allocation result and the total income of the users from selling biomass energy raw materials; Calculate environmental protection indicators based on the penalty costs of carbon dioxide, sulfur dioxide, nitrogen oxides and dust generated annually by the rural integrated energy system corresponding to the optimal flexibility resource allocation result; Calculating an energy utilization efficiency index based on the electricity consumption, heat consumption, biogas consumption and the total energy supply of the rural integrated energy system corresponding to the optimal flexibility resource allocation result; The renewable energy power generation proportion index is calculated based on the renewable energy power generation and the total system power generation corresponding to the optimal flexibility resource allocation result.

9. A method for configuring and comprehensively evaluating flexibility resources of a rural integrated energy system according to claim 8, characterized in that: Calculate the per capita energy cost index for rural users as follows: ； Where, C rj represents the total energy cost per capita for rural users, C pur Indicates the user's total annual energy consumption expenditure, C sell It represents the total income of users from selling biomass energy raw materials. N R represents the total number of rural users; Calculate environmental protection indicators, specifically: ； Where, C P represents the penalty cost for air pollution emissions, 、 、 、 C DUST They represent the penalty costs of carbon dioxide, sulfur dioxide, nitrogen oxides and dust generated by the annual operation of the rural integrated energy system respectively; Calculate the energy efficiency index, specifically: ； Where, represents the energy utilization efficiency of the rural integrated energy system, E Indicates power consumption, H Indicates the amount of heat used, G Indicates the amount of biogas used, P It represents the total energy supply of the rural integrated energy system; Calculate the proportion of renewable energy power generation, specifically: ； Where, Z represents the proportion of renewable energy generation, E RENEW is the amount of electricity generated by renewable energy, E NETWORK Indicates the total power generation of the system.

10. A rural integrated energy system flexibility resource allocation and comprehensive evaluation system, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, it implements each step in the method for configuring and comprehensively evaluating flexibility resources of a rural integrated energy system according to any one of claims 1 to 9.

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