A grid-friendly rural virtual power plant auxiliary frequency control system and method

Abstract

The present invention discloses a grid-friendly rural virtual power plant auxiliary frequency control system and method, which realizes the control of solar energy and biomass energy according to the frequency control target model. The biomass energy production biogas module produces biogas through biomass energy and the heat generated by the solar energy utilization module, and stores it in the gas storage tank of the energy storage module. The biogas generator set of the biogas cogeneration module uses the stored biogas to generate electricity. At the same time, the biogas-fired boiler uses the biogas to generate heat and transfers the heat to the heat load and the biomass energy production biogas module. The excess heat is stored in the heat storage device. The photovoltaic power generation equipment of the solar energy utilization module uses solar energy to generate electricity and transfers it to the power load. At the same time, the excess electricity is stored in a battery or converted into heat through a heat pump. The scheme of the present invention couples solar energy and biomass energy, fully utilizes the synergistic relationship between rural photovoltaic and biogas, and forms a grid-friendly virtual power plant in the countryside that can realize auxiliary frequency regulation. It has important practical significance for promoting the effective use of clean energy, improving the stability and reliability of the power system, reducing frequency regulation costs, and helping rural revitalization.

Description

Technical Field

[0001] The present invention belongs to the field of comprehensive energy utilization, and specifically relates to a grid-friendly rural virtual power plant auxiliary frequency control system and method. Background Art

[0002] Currently, rural power grids are connected to a large number of distributed power sources and are facing the problem of unstable power supply, which in turn limits the large-scale application of renewable energy;

[0003] Existing photovoltaic systems rely on solar energy, which is significantly affected by weather and wind, resulting in unstable photovoltaic power supply. Furthermore, photovoltaic power cannot supply power to the system at night. Biogas energy, on the other hand, has a stable raw material source, enabling continuous biogas production. Furthermore, the storage characteristics of gas tanks enable energy transfer across time and space. By integrating solar and biogas power into a virtual power plant, we can better balance supply and demand, reducing the volatility of a single energy source. Therefore, we are studying an auxiliary frequency control model for a photovoltaic-biogas coupled virtual power plant. This model leverages the stable supply of biogas power generation, adapts to the characteristics of rural areas, and effectively regulates the frequency of rural power systems, improving power system reliability while reducing operating costs and promoting the sustainable development of rural power systems. Summary of the Invention

[0004] In response to the above problems, the purpose of the present invention is to provide a grid-friendly rural virtual power plant auxiliary frequency control system and method, aiming to make full use of the synergistic relationship between rural photovoltaics and biogas, and form a virtual power plant in the countryside that can realize auxiliary frequency regulation. It has important practical significance for promoting the effective use of clean energy, improving the stability and reliability of the power system, and reducing the cost of frequency regulation.

[0005] The specific technical solutions for achieving the purpose of the present invention are as follows:

[0006] A grid-friendly rural virtual power plant auxiliary frequency control system includes a biogas production module using biomass energy, a biogas cogeneration module, a solar energy utilization module, an energy storage module, and a load;

[0007] The biomass energy biogas production module includes a raw material pool for storing biomass energy raw materials and a biomass energy anaerobic fermentation tank for producing biogas;

[0008] The biogas cogeneration module includes a biogas generator set, a biogas-fired boiler, and a heat pump that realizes electricity-heat conversion;

[0009] The solar energy utilization module includes equipment for converting solar energy into electrical energy and thermal energy;

[0010] The energy storage module includes a gas storage tank for storing biogas, a heat storage device for storing heat, and a battery for storing electrical energy;

[0011] The biomass energy biogas preparation module uses the heat generated by the biomass energy and the solar energy utilization module to prepare biogas, and stores it in the gas storage tank of the energy storage module. The biogas generator set of the biogas cogeneration module uses the stored biogas to generate electricity. At the same time, the biogas-fired boiler uses the biogas to generate heat and transfers the heat to the heat load and the biomass energy biogas preparation module. The excess heat is stored in the heat storage device.

[0012] The photovoltaic power generation equipment of the solar energy utilization module utilizes solar energy to generate electricity and transmits it to the power load. At the same time, the excess electricity is stored in the battery, or converted into heat through electric-thermal conversion by a heat pump.

[0013] The present invention also provides a grid-friendly rural virtual power plant auxiliary frequency control method, comprising the following steps:

[0014] Step 1: Construct the operation model and constraint conditions of the biomass energy biogas production module, biogas cogeneration module, solar energy utilization module, energy storage module and load;

[0015] Step 2: Build a frequency control target model;

[0016] Step 3: Solve the frequency control target model of step 2 to achieve rural virtual power plant-assisted frequency control optimization.

[0017] Compared with the prior art, the present invention has the following beneficial effects:

[0018] (1) The solution of the present invention realizes the coordinated regulation between photovoltaic and biomass energy based on the frequency regulation target model, making full use of the abundant biomass energy resources in rural areas, contributing to the popularization of renewable energy in rural areas and promoting the sustainable development of rural power supply. The operation efficiency of the virtual power plant is improved through the mutual coordination of photovoltaic and biogas power generation. The flexible and adjustable characteristics of biogas power generation are combined with energy storage equipment and load response to increase the available capacity of the virtual power plant to assist in frequency regulation, which can better cope with load changes and external demands, and improve the reliability and flexibility of the system.

[0019] (2) The solution of the present invention couples solar energy and biomass energy, fully utilizing the synergistic relationship between rural photovoltaics and biogas, and forming a grid-friendly virtual power plant in rural areas that can achieve auxiliary frequency regulation. It has important practical significance for promoting the effective use of clean energy, improving the stability and reliability of the power system, and reducing the cost of frequency regulation.

[0020] The present invention will be further described below with reference to specific embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 This is a schematic diagram of the grid-friendly rural virtual power plant auxiliary frequency control system architecture of the present invention.

[0022] Figure 2 This is a schematic diagram of grid-friendly rural virtual power plant-assisted frequency control in an embodiment of the present invention.

[0023] Figure 3 This is a schematic diagram of the grid-friendly rural virtual power plant-assisted frequency control effect in an embodiment of the present invention. DETAILED DESCRIPTION

[0024] Example

[0025] The present invention will be further described below with reference to the accompanying drawings and specific embodiments so that those skilled in the art can better understand the present invention and implement it. However, the embodiments are not intended to limit the present invention.

[0026] Combine Figure 1 and Figure 2 , a grid-friendly rural virtual power plant auxiliary frequency control system, including a biomass energy biogas preparation module, a biogas cogeneration module, a solar energy utilization module, an energy storage module and a load;

[0027] The biomass energy biogas production module includes a raw material pool for storing biomass energy raw materials and a biomass energy anaerobic fermentation tank for producing biogas;

[0028] The biogas cogeneration module includes a biogas generator set, a biogas-fired boiler, and a heat pump that realizes electricity-heat conversion;

[0029] The solar energy utilization module includes equipment for converting solar energy into electrical energy and thermal energy;

[0030] The energy storage module includes a gas storage tank for storing biogas, a heat storage device for storing heat, and a battery for storing electrical energy;

[0031] The loads include residential electricity and agricultural production electricity, and are divided into time-shiftable loads and non-time-shiftable loads according to whether they can be interrupted;

[0032] In the system, the biomass energy biogas production module produces biogas through the heat generated by the biomass energy and the solar energy utilization module, and stores it in the gas storage tank of the energy storage module. The biogas generator set of the biogas cogeneration module uses the stored biogas to generate electricity. At the same time, the biogas-fired boiler uses the biogas to generate heat and transfers the heat to the heat load and the biomass energy biogas production module. The excess heat is stored in the heat storage device.

[0033] The photovoltaic power generation equipment of the solar energy utilization module utilizes solar energy to generate electricity and transmits it to the power load. At the same time, the excess electricity is stored in the battery, or converted into heat through electric-thermal conversion by a heat pump.

[0034] Combining multiple clean energy sources to form a rural green virtual power plant, the flexible and adjustable nature of multiple distributed power sources enables dynamic regulation of various resources. The solar energy utilization module cleans the energy supply of the virtual power plant, while biomass gas power generation reuses agricultural waste. Its stable raw material source compensates for the intermittent nature of photovoltaic utilization, while the biogas generator set offers rapid power response capabilities. Together, these two systems offer grid-friendly features.

[0035] The virtual power plant can be used to assist in frequency regulation of the power grid through scheduling. In order to improve energy utilization and reduce the cost of frequency regulation, the control system controls solar energy and biomass energy according to the frequency regulation target model:

[0036]

[0037] Among them, O VPP represents the objective function of frequency-assisted regulation of rural virtual power plants; Indicates the operating cost of the system; represents the frequency regulation benefit of the rural virtual power plant; N represents the number of frequency-regulating devices; ε represents the cost coefficient of equipment operation; represents the operating power of the nth device at time t, π e represents the electricity price at time t; They represent the power that the n-th photovoltaic and biogas units can provide at time t; π r is the FM price at time t; It represents the frequency regulation capacity that the nth power storage device can provide at time t.

[0038] The operating models of each module in the system are:

[0039] Anaerobic fermentation tank for biogas production:

[0040] (1) Biomass accounting model

[0041] First, a preliminary calculation of the processable biomass is performed to control the amount of raw materials available for biogas production:

[0042] Q i =N i ×T i ×EP i

[0043]

[0044] (2) Biomass production model

[0045] The manure biomass from livestock farming is fermented to produce biogas. The preparation of biogas is usually carried out in a biomass anaerobic fermentation tank. The fermentation process is related to temperature, so the relationship between anaerobic fermentation and temperature is established:

[0046]

[0047] m i (t)≥η AD G AD (t)

[0048] V AD ≥m i / ρ m

[0049] Among them, Q i is the theoretical resource amount of livestock and poultry excrement of type i, N i is the annual breeding quantity of the i-th type of livestock and poultry, Ti is the breeding cycle of the i-th type of livestock and poultry, EP i is the excretion coefficient of the i-th type of livestock and poultry, m i is the total amount of biomass available in the excreta of the i-th livestock and poultry, Hij is the collection coefficient of the j-th type of excreta of the i-th livestock and poultry; Wij is the dry matter content of the j-th type of excreta of the i-th livestock and poultry; is the temperature of the fermentation raw material during period t, To supply heat to the anaerobic fermentation tank, is the heat loss of the biogas tank, c m is the specific heat capacity of the biomass energy input, ρ m Density of the biomass feed, V AD Anaerobic fermentation tank volume, η AD Efficiency of biomass conversion to biogas, G AD (t) is the amount of biogas produced during period t;

[0050] Operation model of biogas generator set:

[0051]

[0052] Among them, LHV is the lower heating value of biogas; is the power generation capacity of the biogas generator set at time t; η bg For the working efficiency of gas turbine; is the amount of biogas burned by the biogas generator set at time t;

[0053] Heat pump operation model:

[0054]

[0055] in, is the heat pump output thermal power at time t; is the start and stop variable of the heat pump at time t; is the power consumed by the heat pump at time t; COP hp is the heat pump energy efficiency coefficient;

[0056] Operation model of biogas boiler:

[0057]

[0058] Among them, Q BBt is the heat output of the biogas boiler at time t; u BBt It is the BB start and stop variable; is the amount of biogas consumed by the boiler; η BB is the boiler efficiency; LHV b is the calorific value of biogas combustion;

[0059] Power generation equipment in solar energy utilization module:

[0060]

[0061] in, is the power generated by the generator set at time t, A PV is the effective illumination area of ​​the unit, is the power generation efficiency of the photovoltaic cell, and I is the solar radiation intensity;

[0062] Heating equipment in solar energy utilization module:

[0063]

[0064] in, A is the thermal power provided by the heating unit at time t, PV is the effective illumination area of ​​the unit, η th is the efficiency of the photovoltaic collector, I is the solar radiation intensity;

[0065] Operation model of gas tank:

[0066] When the photovoltaic power is weak or the temperature is low, the surplus biogas stored in the gas tank is supplied to the biogas generator to generate electricity, or to the biogas boiler to provide heat to increase the temperature of the fermentation tank or meet the heat load demand, thereby improving the operation effect of biogas fermentation.

[0067]

[0068] in, is the gas intake of the gas storage tank at time t, i.e. the total biogas production; is the total biogas output at time t; is the amount of biogas in the gas tank at time t; Indicates the initial amount of biogas in the gas tank; Indicates the amount of biogas remaining in the gas tank at the end of the day; θ g is the self-leakage rate of the gas tank; They represent the conversion efficiency of the gas tank during intake and release respectively;

[0069] Operation model of heat storage device:

[0070]

[0071] in, is the heat storage capacity of the heat storage device at time t; θ h is the self-dissipation rate of the heat storage device; are the charging and discharging heat conversion efficiencies, respectively; The heat charge and discharge at time t are

[0072] Battery operation model:

[0073]

[0074] in, is the internal storage capacity of the energy storage battery at time t; θ e is the self-consumption rate of the energy storage battery; are the charge and discharge conversion efficiency of the energy storage device, respectively; are the charge and discharge amounts of the energy storage device at time t, respectively.

[0075] Demand response load refers to the use of market price signals such as time-of-use electricity prices or incentive mechanisms such as financial subsidies to guide and encourage electricity users to change their original electricity consumption patterns, thereby promoting the balance of electricity supply and demand and ensuring the stable operation of the power grid. The load model is as follows:

[0076]

[0077] in, is the load demand of the demand response load in period t; To transfer interruptible loads, For loads that cannot be transferred or interrupted, E DR is the total energy demand of the demand response load in one dispatch cycle; are the upper and lower limits of demand response load, respectively; are the upper and lower limits of the total energy demand of the demand response load; Δt is the duration of one time period.

[0078] The constraints for the operation of each module in the system are:

[0079] Security constraints:

[0080] To ensure the stable operation of the green virtual power plant and the upper and lower bounds of voltage fluctuations, the system voltage is first constrained for safety:

[0081] 1-δ≤U t ≤1+δ

[0082] Among them, δ is the voltage safety margin, U t is the node voltage of each device in the system at time t;

[0083] System operation constraints:

[0084] A grid-friendly virtual power plant should consider the operational constraints of the entire system. First, the operational load of the entire system must be determined. All operational loads should be less than or equal to the system's maximum supply capacity, that is:

[0085]

[0086] in, is the operational load at time t, is the electrical power consumed by the heat pump at time t; The load power that can be transferred or interrupted in the load; is the power generated by the generator set at time tt, is the power generation capacity of the biogas generator set at time t; is the electric power of the energy storage battery at time t; is the power purchased from outside the system at time t; The load cannot be transferred or interrupted;

[0087] System heat load balance constraints:

[0088]

[0089] in, is the system heat load requirement, The thermal power provided by the heating unit at time t; is the heat output of the biogas boiler at time t; is the heat output of the heat pump at time t; are the heat storage device charging and releasing heat at time t respectively; To supply heat to the anaerobic fermentation tank, is the heat loss of the biogas tank; is the heat storage capacity of the heat storage device at time t.

[0090] The established model, objective function and constraints are converted into programming language input such as MATLAB and other simulation software, and the optimization toolkit and optimization solver are called to solve the problem, so as to obtain the grid-friendly rural virtual power plant auxiliary frequency control information.

[0091] A grid-friendly rural virtual power plant-assisted frequency control method includes the following steps:

[0092] Step 1: Construct the operation model and constraints of the biomass energy biogas production module, biogas cogeneration module, solar energy utilization module, energy storage module and load:

[0093] Anaerobic fermentation tank for biogas production:

[0094] Q i =N i ×T i ×EP i

[0095]

[0096]

[0097] m i (t)≥η AD G AD (t)

[0098] V AD ≥m i / ρ m

[0099] Among them, Q i is the theoretical resource amount of livestock and poultry excrement of type i, N i is the annual breeding quantity of the i-th type of livestock and poultry, Ti is the breeding cycle of the i-th type of livestock and poultry, EP i is the excretion coefficient of the i-th type of livestock and poultry, m i is the total amount of biomass available in the excreta of the i-th livestock and poultry, Hij is the collection coefficient of the j-th type of excreta of the i-th livestock and poultry; Wij is the dry matter content of the j-th type of excreta of the i-th livestock and poultry; is the temperature of the fermentation raw material during period t, To supply heat to the anaerobic fermentation tank, is the heat loss of the biogas tank, c m is the specific heat capacity of the biomass energy input, ρ m Density of the biomass feed, V AD Anaerobic fermentation tank volume, η AD Efficiency of biomass conversion to biogas, G AD (t) is the amount of biogas produced during period t;

[0100] Biogas generator set:

[0101]

[0102] Among them, LHV is the lower heating value of biogas; is the power generation capacity of the biogas generator set at time t; η bg For the working efficiency of gas turbine; is the amount of biogas burned by the biogas generator set at time t;

[0103] Heat pump:

[0104]

[0105] in, is the heat pump output thermal power at time t; is the start and stop variable of the heat pump at time t; is the power consumed by the heat pump at time t; COP hp is the heat pump energy efficiency coefficient;

[0106] Biogas boiler:

[0107]

[0108] in, is the heat output of the biogas boiler at time t; It is the BB start and stop variable; is the amount of biogas consumed by the boiler; η BB is the boiler efficiency; LHV b is the calorific value of biogas combustion;

[0109] Power generation equipment in solar energy utilization module:

[0110]

[0111] in, is the power generated by the generator set at time t, A PV is the effective illumination area of ​​the unit, is the power generation efficiency of the photovoltaic cell, and I is the solar radiation intensity;

[0112] Heating equipment in solar energy utilization module:

[0113]

[0114] in, A is the thermal power provided by the heating unit at time t, PV is the effective illumination area of ​​the unit, η th is the efficiency of the photovoltaic collector, I is the solar radiation intensity;

[0115] gas tank:

[0116]

[0117] in, is the gas intake of the gas storage tank at time t, i.e. the total biogas production; is the total biogas output at time t; is the amount of biogas in the gas tank at time t; Indicates the initial amount of biogas in the gas tank; Indicates the amount of biogas remaining in the gas tank at the end of the day; θ g is the self-leakage rate of the gas tank; They represent the conversion efficiency of the gas tank during intake and release respectively;

[0118] Heat storage device:

[0119]

[0120] in, is the heat storage capacity of the heat storage device at time t; θ h is the self-dissipation rate of the heat storage device; are the charging and discharging heat conversion efficiencies, respectively; The heat charge and discharge at time t are

[0121] Battery:

[0122]

[0123] in, is the internal storage capacity of the energy storage battery at time t; θ e is the self-consumption rate of the energy storage battery; are the charge and discharge conversion efficiency of the energy storage device, respectively; are the charge and discharge amounts of the energy storage device at time t respectively;

[0124] The load model is:

[0125]

[0126] in, is the load demand of the demand response load in period t; To transfer interruptible loads, For loads that cannot be transferred or interrupted, E DR is the total energy demand of the demand response load in one dispatch cycle; are the upper and lower limits of demand response load, respectively; are the upper and lower limits of the total energy demand of the demand response load respectively; Δt is the duration of one time period;

[0127] The constraints for the operation of each module in the system are:

[0128] Security constraints:

[0129] 1-δ≤U t ≤1+δ

[0130] Among them, δ is the voltage safety margin, U t is the node voltage of each device in the system at time t;

[0131] System operation constraints:

[0132]

[0133] in, is the operational load at time t, is the electrical power consumed by the heat pump at time t; The load power that can be transferred or interrupted in the load; is the power generated by the generator set at time tt, is the power generation capacity of the biogas generator set at time t; is the electric power of the energy storage battery at time t; is the power purchased from outside the system at time t; The load cannot be transferred or interrupted;

[0134] System heat load balance constraints:

[0135]

[0136] in, is the system heat load requirement, The thermal power provided by the heating unit at time t; is the heat output of the biogas boiler at time t; is the heat output of the heat pump at time t; are the heat storage device charging and releasing heat at time t respectively; To supply heat to the anaerobic fermentation tank, is the heat loss of the biogas tank; is the heat storage capacity of the heat storage device at time t.

[0137] Step 2: Build a frequency control target model:

[0138]

[0139] Among them, O VPP represents the objective function of frequency-assisted regulation of rural virtual power plants; Indicates the operating cost of the system; represents the frequency regulation benefit of the rural virtual power plant; N represents the number of frequency-regulating devices; ε represents the cost coefficient of equipment operation; represents the operating power of the nth device at time t, π e represents the electricity price at time t; They represent the power that the n-th photovoltaic and biogas units can provide at time t; π ris the FM price at time t; It represents the frequency regulation capacity that the nth power storage device can provide at time t.

[0140] Step 3: Solve the frequency control target model of step 2 to achieve rural virtual power plant-assisted frequency control optimization.

[0141] A computer device comprises a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the following steps are implemented:

[0142] Step 1: Construct the operation model and constraint conditions of the biomass energy biogas production module, biogas cogeneration module, solar energy utilization module, energy storage module and load;

[0143] Step 2: Build a frequency control target model;

[0144] Step 3: Solve the frequency control target model of step 2 to achieve rural virtual power plant-assisted frequency control optimization.

[0145] like Figure 3 As shown, based on the frequency control target model of this scheme, when the energy power required by the auxiliary frequency market increases, the virtual power plant regulates the heat storage device to control the heat supplied to the anaerobic digestion link, thereby controlling the biogas production speed and the biogas supply speed in the biogas cabinet, thereby increasing the energy power provided by biogas power generation; when the energy power required by the auxiliary frequency market decreases, the virtual power plant regulates the photovoltaic energy supply device to give priority to providing energy to the biogas production and utilization link internally and store it, so as to facilitate utilization in subsequent stages and realize the cross-temporal and spatial transfer of energy.

[0146] A computer storable medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the computer program implements the following steps:

[0147] Step 1: Construct the operation model and constraint conditions of the biomass energy biogas production module, biogas cogeneration module, solar energy utilization module, energy storage module and load;

[0148] Step 2: Build a frequency control target model;

[0149] Step 3: Solve the frequency control target model of step 2 to achieve rural virtual power plant-assisted frequency control optimization.

[0150] From the conversion of agricultural waste into biomass energy, to the preparation of biogas and its combination with solar energy, the solution of the present invention can provide a virtual power plant model with frequency regulation for the power grid, improve the stability and reliability of the power system, reduce the frequency regulation cost, and help rural revitalization, which has important practical significance.

[0151] The above-described embodiments merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that a person skilled in the art could make various modifications and improvements without departing from the spirit of the present application, all of which fall within the scope of protection of the present application. Therefore, the scope of protection of the present patent application shall be determined by the appended claims.

Claims

1. A grid-friendly rural virtual power plant auxiliary frequency control system, characterized by: Including biomass energy production biogas module, biogas cogeneration module, solar energy utilization module, energy storage module and load; The biomass energy biogas production module includes a raw material pool for storing biomass energy raw materials and a biomass energy anaerobic fermentation tank for producing biogas; The biogas cogeneration module includes a biogas generator set, a biogas-fired boiler, and a heat pump that realizes electricity-heat conversion; The solar energy utilization module includes equipment for converting solar energy into electrical energy and thermal energy; The energy storage module includes a gas storage tank for storing biogas, a heat storage device for storing heat, and a battery for storing electrical energy; The biomass energy biogas preparation module uses the heat generated by the biomass energy and the solar energy utilization module to prepare biogas, and stores it in the gas storage tank of the energy storage module. The biogas generator set of the biogas cogeneration module uses the stored biogas to generate electricity. At the same time, the biogas-fired boiler uses the biogas to generate heat and transfers the heat to the heat load and the biomass energy biogas preparation module. The excess heat is stored in the heat storage device. The photovoltaic power generation equipment of the solar energy utilization module utilizes solar energy to generate electricity and transmits it to the power load. At the same time, the excess electricity is stored in the battery or converted into heat through the heat pump to achieve electric heat conversion; The control system realizes the control of solar energy and biomass energy according to the frequency control target model: Among them, O VPP represents the objective function of frequency-assisted regulation of rural virtual power plants; Indicates the operating cost of the system; represents the frequency regulation benefit of the rural virtual power plant; N represents the number of frequency-regulating devices; ε represents the cost coefficient of equipment operation; represents the operating power of the nth device at time t, π e represents the electricity price at time t; They represent the power that the n-th photovoltaic and biogas units can provide at time t; π r is the FM price at time t; represents the frequency regulation capacity that the nth power storage device can provide at time t; The operating models of each module in the system are: Anaerobic biomass fermentation tank for biogas production: Q i =N i ×T i ×EP i m i (t)≥η AD G AD (t) V AD ≥m i / r m Among them, Q i is the theoretical resource amount of livestock and poultry excrement of type i, N i is the annual breeding quantity of the i-th type of livestock and poultry, Ti is the breeding cycle of the i-th type of livestock and poultry, EP i is the excretion coefficient of the i-th type of livestock and poultry, m i is the total amount of biomass available from the excreta of the i-th livestock and poultry, Hij is the collection coefficient of the j-th type of excreta of the i-th livestock and poultry; W ij is the dry matter content of the jth type of excrement of the i-th type of livestock and poultry; is the temperature of the fermentation raw material during period t, To supply heat to the anaerobic fermentation tank, is the heat loss of the biogas tank, c m is the specific heat capacity of the biomass energy input, ρ m Density of the biomass feed, V AD Anaerobic fermentation tank volume, η AD Efficiency of biomass conversion to biogas, G AD (t) is the amount of biogas produced during period t; Biogas generator set: Among them, LHV is the lower heating value of biogas; is the power generation capacity of the biogas generator set at time t; η bg For the working efficiency of gas turbine; is the amount of biogas burned by the biogas generator set at time t; Heat pump: in, is the heat pump output thermal power at time t; is the start and stop variable of the heat pump at time t; is the power consumed by the heat pump at time t; COP hp is the heat pump energy efficiency coefficient; Biogas boiler: in, is the heat output of the biogas boiler at time t; It is the BB start and stop variable; is the amount of biogas consumed by the boiler; η BB is the boiler efficiency; LHV b is the calorific value of biogas combustion; Power generation equipment in solar energy utilization module: in, is the power generated by the generator set at time t, A PV is the effective illumination area of ​​the unit, is the power generation efficiency of the photovoltaic cell, and I is the solar radiation intensity; Heating equipment in solar energy utilization module: in, A is the thermal power provided by the heating unit at time t, PV is the effective illumination area of ​​the unit, η th is the efficiency of the photovoltaic collector, I is the solar radiation intensity; gas tank: in, is the gas intake of the gas storage tank at time t, i.e. the total biogas production; is the total biogas output at time t; is the amount of biogas in the gas tank at time t; Indicates the initial amount of biogas in the gas tank; Indicates the amount of biogas remaining in the gas tank at the end of the day; θ g is the self-leakage rate of the gas tank; They represent the conversion efficiency of the gas tank during intake and release respectively; Heat storage device: in, is the heat storage capacity of the heat storage device at time t; θ h is the self-dissipation rate of the heat storage device; are the charging and discharging heat conversion efficiencies, respectively; The heat charge and discharge at time t are Battery: in, is the internal storage capacity of the energy storage battery at time t; θ e is the self-consumption rate of the energy storage battery; are the charge and discharge conversion efficiency of the energy storage device, respectively; are the charge and discharge amounts of the energy storage device at time t, respectively.

2. The grid-friendly rural virtual power plant auxiliary frequency control system according to claim 1 is characterized in that: The load model is: in, is the load demand of the demand response load in period t; To transfer interruptible loads, For loads that cannot be transferred or interrupted, E DR is the total energy demand of the demand response load in one dispatch cycle; are the upper and lower limits of demand response load, respectively; are the upper and lower limits of the total energy demand of the demand response load; Δt is the duration of one time period.

3. The grid-friendly rural virtual power plant auxiliary frequency control system according to claim 1 is characterized in that: The constraints for the operation of each module in the system are: Security constraints: 1-δ≤U t ≤1+δ Among them, δ is the voltage safety margin, U t is the node voltage of each device in the system at time t; System operation constraints: in, is the operational load at time t, is the electrical power consumed by the heat pump at time t; The load power that can be transferred or interrupted in the load; is the power generated by the generator set at time tt, is the power generation capacity of the biogas generator set at time t; is the electric power of the energy storage battery at time t; is the power purchased from outside the system at time t; The load cannot be transferred or interrupted; System heat load balance constraints: in, is the system heat load requirement, The thermal power provided by the heating unit at time t; is the heat output of the biogas boiler at time t; is the heat output of the heat pump at time t; are the heat storage device charging and releasing heat at time t respectively; To supply heat to the anaerobic fermentation tank, is the heat loss of the biogas tank; is the heat storage capacity of the heat storage device at time t.

4. A grid-friendly rural virtual power plant assisted frequency control method, characterized in that: The following steps are involved: Step 1: Construct the operation model and constraint conditions of the biomass energy biogas production module, biogas cogeneration module, solar energy utilization module, energy storage module and load; The specific operation models and constraints of each module are as follows: Anaerobic fermentation tank for biogas production: Q i =N i ×T i ×EP i m i (t)≥η AD G AD (t) V AD ≥m i / r m Among them, Q i is the theoretical resource amount of livestock and poultry excrement of type i, N i is the annual breeding quantity of the i-th type of livestock and poultry, Ti is the breeding cycle of the i-th type of livestock and poultry, EP i is the excretion coefficient of the i-th type of livestock and poultry, m i is the total amount of biomass available from the excreta of the i-th livestock and poultry, Hij is the collection coefficient of the j-th type of excreta of the i-th livestock and poultry; W ij is the dry matter content of the jth type of excrement of the i-th type of livestock and poultry; is the temperature of the fermentation raw material during period t, To supply heat to the anaerobic fermentation tank, is the heat loss of the biogas tank, c m is the specific heat capacity of the biomass energy input, ρ m Density of the biomass feed, V AD Anaerobic fermentation tank volume, η AD Efficiency of biomass conversion to biogas, G AD (t) is the amount of biogas produced during period t; Biogas generator set: Among them, LHV is the lower heating value of biogas; is the power generation capacity of the biogas generator set at time t; η bg For the working efficiency of gas turbine; is the amount of biogas burned by the biogas generator set at time t; Heat pump: in, is the heat pump output thermal power at time t; is the start and stop variable of the heat pump at time t; is the power consumed by the heat pump at time t; COP hp is the heat pump energy efficiency coefficient; Biogas boiler: in, is the heat output of the biogas boiler at time t; It is the BB start and stop variable; is the amount of biogas consumed by the boiler; η BB is the boiler efficiency; LHV b is the calorific value of biogas combustion; Power generation equipment in solar energy utilization module: in, is the power generated by the generator set at time t, A PV is the effective illumination area of ​​the unit, is the power generation efficiency of the photovoltaic cell, and I is the solar radiation intensity; Heating equipment in solar energy utilization module: in, A is the thermal power provided by the heating unit at time t, PV is the effective illumination area of ​​the unit, η th is the efficiency of the photovoltaic collector, I is the solar radiation intensity; gas tank: in, is the gas intake of the gas storage tank at time t, i.e. the total biogas production; is the total biogas output at time t; is the amount of biogas in the gas tank at time t; Indicates the initial amount of biogas in the gas tank; Indicates the amount of biogas remaining in the gas tank at the end of the day; θ g is the self-leakage rate of the gas tank; They represent the conversion efficiency of the gas tank during intake and release respectively; Heat storage device: in, is the heat storage capacity of the heat storage device at time t; θ h is the self-dissipation rate of the heat storage device; are the charging and discharging heat conversion efficiencies, respectively; The heat charge and discharge at time t are Battery: in, is the internal storage capacity of the energy storage battery at time t; θ e is the self-consumption rate of the energy storage battery; are the charge and discharge conversion efficiency of the energy storage device, respectively; are the charge and discharge amounts of the energy storage device at time t respectively; Step 2: Build a frequency control target model; The control system realizes the control of solar energy and biomass energy according to the frequency control target model: Among them, O VPP represents the objective function of frequency-assisted regulation of rural virtual power plants; Indicates the operating cost of the system; represents the frequency regulation benefit of the rural virtual power plant; N represents the number of frequency-regulating devices; ε represents the cost coefficient of equipment operation; represents the operating power of the nth device at time t, π e represents the electricity price at time t; They represent the power that the n-th photovoltaic and biogas units can provide at time t; π r is the FM price at time t; represents the frequency regulation capacity that the nth power storage device can provide at time t; Step 3: Solve the frequency control target model of step 2 to achieve rural virtual power plant-assisted frequency control optimization.

5. The grid-friendly rural virtual power plant assisted frequency control method according to claim 4, characterized in that: The constraints of the module operation model in step 1 are specifically as follows: Security constraints: 1-δ≤U t ≤1+δ Among them, δ is the voltage safety margin, U t is the node voltage of each device in the system at time t; System operation constraints: in, is the operational load at time t, is the electrical power consumed by the heat pump at time t; The load power that can be transferred or interrupted in the load; is the power generated by the generator set at time tt, is the power generation capacity of the biogas generator set at time t; is the electric power of the energy storage battery at time t; is the power purchased from outside the system at time t; The load cannot be transferred or interrupted; System heat load balance constraints: in, is the system heat load requirement, The thermal power provided by the heating unit at time t; is the heat output of the biogas boiler at time t; is the heat output of the heat pump at time t; are the heat storage device charging and releasing heat at time t respectively; To supply heat to the anaerobic fermentation tank, is the heat loss of the biogas tank; is the heat storage capacity of the heat storage device at time t.

6. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 4 to 5 are implemented.

7. A computer storable medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 4 to 5 are implemented.

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