Capacity configuration method, device and equipment of facility agriculture integrated energy network and medium

Abstract

The invention relates to the technical field of energy, and discloses a capacity configuration method, device and equipment of a facility agriculture integrated energy network and a medium. The method comprises the following steps: establishing a model of the facility agriculture integrated energy network according to the architecture of the facility agriculture integrated energy network, a target function is constructed by taking the investment cost generated by meeting the load requirement of a preset region for the facility agriculture integrated energy network and the minimum operation cost generated by mutual conversion of various energy sources in the facility agriculture integrated energy network due to the uncertainty of the output power of a wind power generation system and a photovoltaic power generation system as targets; establishing a capacity configuration model of the facility agriculture integrated energy network under the constraint condition that the capacities of the HDR-EGS, the Carnot cell, the wind power generation system and the photovoltaic power generation system do not exceed the respective corresponding installed capacities; and solving the capacity configuration model to obtain the installed capacity of the HDR-EGS, the Carnot cell, the wind power generation system and the photovoltaic power generation system in the facility agriculture integrated energy network.

Description

Technical Field

[0001] The present invention relates to the field of new energy technologies, and in particular to a capacity configuration method, device, equipment and medium for a facility agriculture integrated energy network. Background Art

[0002] As the main form of agricultural modernization in the future, the comprehensive energy demand of facility agriculture has become one of the main application scenarios of the integrated energy network due to its own characteristics. With the diversified development of social and economic demand for energy, the construction of an integrated energy network using micro gas turbines or compressed air energy storage systems as combined heating and power (CHP) units has become a hot topic in the field of comprehensive energy utilization. Research on facility agriculture scenarios mainly focuses on responding to the cold, heat, and electricity load demands of facility agriculture by combining micro gas turbines with renewable energy such as wind and light. The volatility of renewable energy and the environmental protection constraints of gas turbines have become key factors restricting the green development of the integrated energy network of facility agriculture.

[0003] With the discovery of high-quality hot dry rock (HDR) resources, such as the hot dry rock resource-rich area in the Gonghe Basin, the area is far away from the load center and the cost of building transmission lines is high. In addition, the strict regional ecological and environmental protection requirements and the strategic plan for developing green plateau agriculture and animal husbandry make it very suitable for building a comprehensive energy network with a hot dry rock enhanced geothermal system (HDR-EGS) as the above-mentioned CHP unit.

[0004] However, there are relatively few studies on the integrated energy network for facility agriculture, especially on HDR-EGS, which only focus on the modeling and comparison of the system's thermal cycle, and lack exploration of specific application scenarios for the integrated energy network for facility agriculture. In addition, the development of hot dry rock geothermal enhancement systems is difficult, costly, and inflexible, which makes them incapable of large-scale application, affecting the comprehensive and efficient utilization of multiple energy sources. Summary of the invention

[0005] The purpose of the present invention is to provide a capacity configuration method, device, equipment and medium for a facility agriculture integrated energy network, which can provide an optimal capacity configuration solution for a facility agriculture integrated energy network containing HDR-EGS, and realize efficient utilization of multiple energy sources in the facility agriculture integrated energy network.

[0006] To solve the above technical problems, an embodiment of the present invention provides a capacity configuration method for a facility agriculture integrated energy network, comprising the following steps:

[0007] According to the architecture of the integrated energy network for facility agriculture, a power grid using HDR-EGS, Carnot batteries, wind power generation systems and photovoltaic power generation systems as power sources, a heat network using HDR-EGS and heat storage tanks in Carnot batteries as heat sources, and a cold network using heat sources and / or power sources for refrigeration are respectively established to realize the conversion among power generation, heating and refrigeration, a Carnot battery model for converting geothermal fluid in HDR-EGS into heat storage fluid provided by the heat network, a wind power generation system model for realizing wind power generation, and a photovoltaic power generation system model for realizing photovoltaic power generation, so as to obtain a model of the integrated energy network for facility agriculture;

[0008] According to the model of the facility agriculture integrated energy network, the objective function is constructed with the goal of meeting the investment cost generated by the load demand of the facility agriculture integrated energy network in the preset area and minimizing the operating cost generated by the mutual conversion of multiple energy sources in the facility agriculture integrated energy network due to the uncertainty of the output power of the wind power generation system and the photovoltaic power generation system. The capacity configuration model of the facility agriculture integrated energy network is established with the constraint that the capacity of HDR-EGS, Carnot battery, wind power generation system and photovoltaic power generation system does not exceed their corresponding installed capacity.

[0009] The capacity configuration model is solved to obtain the installed capacity of HDR-EGS, Carnot battery, wind power generation system and photovoltaic power generation system in the integrated energy network of facility agriculture.

[0010] In some optional embodiments, the HDR-EGS includes a heat extraction unit, a geothermal power generation unit, a high-temperature heating unit, a medium-temperature heating unit and a refrigeration system, the high-temperature heating unit includes a high-temperature heat exchanger and a first heat storage system, and the medium-temperature heating unit includes a medium-temperature heat exchanger and a second heat storage system.

[0011] In some optional embodiments, the model of the heat extraction unit is as follows:

[0012]

[0013] In the formula, α t represents the geothermal energy coefficient for power generation, β t represents the geothermal energy coefficient used for heating, and Respectively represent the residual temperature of the geothermal medium after passing through the high-temperature heating unit and the geothermal power generation unit, Indicates the heat source temperature of the medium temperature heat exchanger;

[0014] The model of the geothermal power generation unit is as follows:

[0015]

[0016] In the formula, Indicates the output power of the geothermal power generation unit at the current moment, Indicates power generation efficiency, cp HDR represents the specific heat capacity of geothermal fluid, represents the mass flow rate for the power generation unit, T HDR Indicates the temperature of the geothermal working fluid input into the geothermal power generation unit;

[0017] The heating model of the high temperature heat exchanger is as follows:

[0018]

[0019] In the formula, m HDR represents the total mass flow rate of geothermal fluid, Indicates the outlet temperature of the high temperature side of the heat exchanger;

[0020] The heat storage model of the high temperature heat exchanger is as follows:

[0021]

[0022] In the formula, and cp Oil Respectively represent the mass flow rate and specific heat capacity of the high temperature heating medium, T H Indicates the temperature provided by the high temperature load, T Oil Indicates the initial temperature of the high-temperature heating medium;

[0023] The model of the first heat storage system is as follows:

[0024]

[0025] In the formula, and They represent the high-temperature heat storage, heat storage / release power and electric heating power at time t, respectively, H represents the heat dissipation coefficient, η EQ Indicates the electrical heat transfer coefficient, μ Hc and μ Hdc Variables all represent preset variables;

[0026] The heating model of the medium temperature heat exchanger is as follows:

[0027]

[0028] In the formula, represents the heat source temperature of the heat exchanger, Indicates the reinjection temperature;

[0029] The heat storage model of the medium temperature heat exchanger is as follows:

[0030]

[0031] In the formula, represents the mass flow rate of medium-temperature heating medium, represents the specific heat capacity of medium temperature heating medium, T M ,T C Respectively represent the heating temperature and condensing water temperature;

[0032] The model of the second heat storage system is as follows:

[0033]

[0034] In the formula, and They represent the medium temperature heat storage, heat storage / release power and electric heating power at time t, respectively, M represents the heat dissipation coefficient, η EQ Indicates the electrical heat transfer coefficient, μ Mc and μ Mdc All represent preset variables.

[0035] In some optional embodiments, the Carnot battery model is as follows:

[0036]

[0037] In the formula, represents the mass flow rate of high-temperature geothermal fluid entering the shell and tube heat exchanger of the Carnot cell, represents the mass flow rate of the low-temperature heat storage medium entering the shell and tube heat exchanger, and C p2,3 represent the temperature and specific heat capacity of the geothermal fluid, respectively. and C p4,5 represent the temperature and specific heat capacity of the heat storage medium respectively.

[0038] In some optional embodiments, the establishment of a capacity configuration model for a facility agriculture integrated energy network includes:

[0039] When establishing the wind power generation system model and the photovoltaic power generation system model, the scenario production method is used to randomly generate multiple scenarios with different wind speeds and different solar irradiances, and the corresponding scenario occurrence probability is generated for each scenario to characterize the uncertainty of the output power of the wind power generation system and the photovoltaic power generation system.

[0040] In some optional embodiments, the wind power generation system model is as follows:

[0041]

[0042] In the formula, v t , v rated and Represents actual wind speed, cut-in wind speed, rated wind speed and cut-out wind speed, P Wind It represents the installed capacity of wind power generation system;

[0043] The photovoltaic power generation system model is as follows:

[0044]

[0045] In the formula, S t and S r Represent the actual solar irradiance and rated solar irradiance, P PV Represents the installed capacity of the photovoltaic power generation system.

[0046] In some optional embodiments, the preset load requirements include: high temperature load, medium temperature load, cold load and electricity load;

[0047] Among them, the high-temperature load includes the load used for drying agricultural products and the steam load used for soil disinfection; the medium-temperature load includes the greenhouse heating load and the domestic hot water load; the cold load is the supporting cold storage for facility agriculture; the electrical load includes the conventional load used for communication, lighting and monitoring, the equipment load for promoting crop growth, and the intermittent load of various pumps and fans.

[0048] The embodiment of the present invention further provides a capacity configuration device for a facility agriculture integrated energy network, comprising:

[0049] The first model building module is used to establish, according to the architecture of the facility agriculture integrated energy network, a power grid using HDR-EGS, Carnot batteries, wind power generation systems and photovoltaic power generation systems as power sources, a heat network using HDR-EGS and heat storage tanks in Carnot batteries as heat sources, and a cold network using heat sources and / or power sources for refrigeration, respectively, an HDR-EGS model for realizing conversion among power generation, heating and refrigeration, a Carnot battery model for converting geothermal fluid in HDR-EGS into heat storage fluid provided by the heat network, a wind power generation system model for realizing wind power generation, and a photovoltaic power generation system model for realizing photovoltaic power generation, so as to obtain a model of the facility agriculture integrated energy network;

[0050] The second model building module is used to construct an objective function based on the model of the facility agriculture integrated energy network, with the goal of meeting the investment cost generated by the load demand of the facility agriculture integrated energy network in the preset area and the minimum operating cost generated by the mutual conversion of multiple energy sources in the facility agriculture integrated energy network due to the uncertainty of the output power of the wind power generation system and the photovoltaic power generation system, and establish a capacity configuration model of the facility agriculture integrated energy network with the constraint that the capacity of HDR-EGS, Carnot battery, wind power generation system and photovoltaic power generation system does not exceed their corresponding installed capacity respectively;

[0051] The capacity configuration module is used to solve the capacity configuration model and obtain the installed capacity of HDR-EGS, Carnot battery, wind power generation system and photovoltaic power generation system in the facility agriculture integrated energy network.

[0052] An embodiment of the present invention also provides a computer device, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the above-mentioned capacity configuration method of the integrated energy network for facility agriculture.

[0053] An embodiment of the present invention also provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the capacity configuration method of the above-mentioned facility agriculture integrated energy network.

[0054] The capacity configuration method of the facility agriculture comprehensive energy network provided by the present invention has at least the following beneficial effects:

[0055] Since the hot dry rock geothermal enhancement system HDR-EGS has poor flexibility and is difficult to apply on a large scale, the present invention couples a Carnot battery in a facility agriculture integrated energy network containing HDR-EGS. The Carnot battery is not restricted by geographical conditions, has a large storage capacity, and is highly efficient, and can help solve the problem of poor flexibility of HDR-EGS. Based on this, the architecture of the facility agriculture integrated energy network is established. The architecture generates electricity through HDR-EGS, Carnot batteries, wind power generation systems, and photovoltaic power generation systems, and heats through heat storage tanks in HDR-EGS and Carnot batteries, as well as achieves refrigeration through electric refrigeration and thermal refrigeration. Based on this architecture, a model of the facility agriculture integrated energy network is established to establish a capacity configuration model of the facility agriculture integrated energy network, and the capacity configuration of each system in the facility agriculture integrated energy network is determined by the capacity configuration model.

[0056] In the process of establishing the capacity configuration model, the present invention not only takes into account the investment cost generated by the load demand of the facility agriculture integrated energy network in the preset area, but also takes into account the operating cost generated by the mutual conversion of multiple energy sources in the facility agriculture integrated energy network due to the uncertainty of the output power of the wind power generation system and the photovoltaic power generation system. At this time, the objective function is constructed with the minimum of the above-mentioned various costs as the goal, and the capacity of HDR-EGS, Carnot battery, wind power generation system and photovoltaic power generation system shall not exceed their respective corresponding installed capacity as the constraint condition. On the basis of effectively characterizing the application scenario of the facility agriculture integrated energy network, an optimal capacity configuration scheme (i.e., the installed capacity of HDR-EGS, Carnot battery, wind power generation system and photovoltaic power generation system in the facility agriculture integrated energy network) in this application scenario can be solved. This scheme gives full play to the advantages of synergistic complementarity of multiple energy sources, realizes the comprehensive and efficient utilization of multiple energy sources, and improves the level of comprehensive agricultural development in areas rich in geothermal resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] One or more embodiments are exemplarily described by the pictures in the corresponding drawings, and these exemplary descriptions do not constitute limitations on the embodiments.

[0058] Figure 1 It is a flow chart of a method for configuring the capacity of a facility agriculture integrated energy network provided according to an embodiment of the present invention;

[0059] Figure 2 This is a schematic diagram of the architecture of a facility agriculture integrated energy network provided according to an embodiment of the present invention;

[0060] Figure 3 It is a schematic diagram of a capacity configuration device for a facility agriculture integrated energy network provided according to an embodiment of the present invention;

[0061] Figure 4 It is a structural schematic diagram of a computer device provided according to an embodiment of the present invention. DETAILED DESCRIPTION

[0062] In order to make the purpose, technical scheme and advantages of the embodiments of the present invention clearer, the embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings. However, it will be appreciated by those skilled in the art that in the embodiments of the present invention, many technical details are proposed in order to enable the reader to better understand the present invention. However, even without these technical details and various changes and modifications based on the following embodiments, the technical scheme claimed in the present invention can be implemented. The division of the following embodiments is for the convenience of description and should not constitute any limitation on the specific implementation of the present invention. The various embodiments can be combined and referenced with each other without contradiction.

[0063] An embodiment of the present invention relates to a capacity configuration method for a facility agriculture integrated energy network. The implementation details of the capacity configuration method for a facility agriculture integrated energy network of this embodiment are specifically described below. The following content is only the implementation details provided for easy understanding and is not necessary for the implementation of this solution.

[0064] The specific process of the capacity configuration method of the facility agriculture comprehensive energy network of this embodiment can be as follows: Figure 1 As shown, including:

[0065] Step 101, establishing a model of the facility agriculture integrated energy network according to the architecture of the facility agriculture integrated energy network.

[0066] Specifically, due to the difficulty in developing hot dry rock geothermal enhancement systems, high costs, and insufficient flexibility, they cannot be applied on a large scale. The Carnot battery composed of a hot tank and an organic Rankine cycle system has the advantages of not being restricted by geographical conditions, large storage capacity, and high efficiency, which can help solve the flexibility problem of hot dry rock enhanced geothermal systems. At the same time, the operating temperature of the Carnot battery is low, and it is easy to couple low-grade thermal energy to improve the cycle efficiency, which is very suitable for geothermal energy application scenarios. The Carnot battery coupled with low-grade geothermal energy can simultaneously achieve improved power generation flexibility and efficient utilization of low-grade thermal energy, and has incomparable advantages over other forms of energy storage in the field of geothermal energy utilization. Therefore, this embodiment constructs a comprehensive energy network with hot dry rock geothermal enhancement systems and Carnot batteries as CHP units to meet the multi-type and multi-grade energy needs of facility agriculture.

[0067] Based on this, the architecture of the facility agriculture comprehensive energy network described in this embodiment is as follows Figure 1 As shown, it includes: a power grid with a hot dry rock geothermal enhancement system HDR-EGS, a Carnot battery, a wind power generation system and a photovoltaic power generation system as power sources, a heat network with a heat storage tank in HDR-EGS and a Carnot battery as a heat source, and a cold network that performs refrigeration (i.e., electric refrigeration and thermal refrigeration) through a heat source and / or a power source, and the heat network includes a high-temperature heat network and a medium-temperature heat network, and the heat network specifically uses a high-temperature heat storage tank and a low-temperature heat storage tank in HDR-EGS and a Carnot battery as a heat source. At this time, according to the architecture of the above-mentioned facility agriculture comprehensive energy network, the model of the facility agriculture comprehensive energy network is established, including: an HDR-EGS model for realizing the conversion between power generation, heating and refrigeration, a Carnot battery model for converting geothermal working fluid in HDR-EGS into a heat storage working fluid provided by the heat network, a wind power generation system model for realizing wind power generation, and a photovoltaic power generation system model for realizing photovoltaic power generation.

[0068] (1) HDR-EGS model

[0069] The HDR-EGS model is a multi-energy cogeneration model of a geothermal system containing dry hot rocks that can flexibly adjust between power generation, high-temperature heating, medium-temperature heating and refrigeration. Since the HDR-EGS includes a heat extraction unit, a geothermal power generation unit, a high-temperature heating unit, a medium-temperature heating unit and a refrigeration system, the high-temperature heating unit includes a high-temperature heat exchanger and a first heat storage system, and the medium-temperature heating unit includes a medium-temperature heat exchanger and a second heat storage system, the HDR-EGS model includes the following models:

[0070] The model of the heat extraction unit is as follows:

[0071]

[0072] In the formula, α t represents the geothermal energy coefficient for power generation, β t represents the geothermal energy coefficient used for heating, and Respectively represent the residual temperature of the geothermal medium after passing through the high-temperature heating unit and the geothermal power generation unit, Indicates the heat source temperature of the medium temperature heat exchanger.

[0073] The model of the geothermal power generation unit is as follows:

[0074]

[0075] In the formula, Indicates the output power of the geothermal power generation unit at the current moment, Indicates power generation efficiency, cp HDR represents the specific heat capacity of geothermal fluid, represents the mass flow rate for the power generation unit, T HDR Indicates the temperature of the geothermal fluid input to the geothermal power generation unit.

[0076] The heating model of the high temperature heat exchanger is as follows:

[0077]

[0078] In the formula, m HDR represents the total mass flow rate of geothermal fluid, Indicates the outlet temperature of the high temperature side of the heat exchanger.

[0079] The heat storage model of the high temperature heat exchanger is as follows:

[0080]

[0081] In the formula, and cp Oil Respectively represent the mass flow rate and specific heat capacity of the high temperature heating medium, T HIndicates the temperature provided by the high temperature load, T Oil Indicates the initial temperature of the high-temperature heating medium.

[0082] The model of the first heat storage system is as follows:

[0083]

[0084] In the formula, and They represent the high-temperature heat storage, heat storage / release power and electric heating power at time t, respectively, H represents the heat dissipation coefficient, η EQ Indicates the electrical heat transfer coefficient, μ Hc and μ Hdc Variables represent preset variables, and their values ​​are 0 or 1.

[0085] The model of the medium-temperature heat exchanger in the medium-temperature heating unit is similar to that of the second heat storage system, wherein the heating model of the medium-temperature heat exchanger is as follows:

[0086]

[0087] In the formula, represents the heat source temperature of the heat exchanger, Indicates the re-injection temperature.

[0088] The heat storage model of the medium temperature heat exchanger is as follows:

[0089]

[0090] In the formula, represents the mass flow rate of medium-temperature heating medium, represents the specific heat capacity of medium temperature heating medium, T M ,T C Represent the heating temperature and condensing water temperature respectively.

[0091] The model of the second heat storage system is as follows:

[0092]

[0093] In the formula, and They represent the medium temperature heat storage, heat storage / release power and electric heating power at time t, respectively, M represents the heat dissipation coefficient, η EQ Indicates the electrical heat transfer coefficient, μ Mc and μ Mdc All represent preset variables.

[0094] (2) Carnot battery model

[0095] When the Carnot battery is running, part of the geothermal fluid from the HDR-EGS is heated by the shell and tube heat exchanger to heat the heat storage fluid, and finally the geothermal energy is stored in the heat storage tank. Therefore, the heat storage heat exchange model can be established through the input and output mass-energy relationship of the heat storage heat exchanger, as described below:

[0096]

[0097] In the formula, represents the mass flow rate of high-temperature geothermal fluid entering the shell and tube heat exchanger of the Carnot cell, represents the mass flow rate of the low-temperature heat storage medium entering the shell and tube heat exchanger, and C p2,3 represent the temperature and specific heat capacity of the geothermal fluid, respectively. and C p4,5 represent the temperature and specific heat capacity of the heat storage medium respectively.

[0098] The heat storage tank is used to store high-temperature heat storage fluid for Carnot battery power generation and low-temperature heat storage fluid after power generation, and provides hot backup for high-temperature heat network and medium-temperature heat network. Therefore, it is necessary to establish mass exchange models of the two heat storage tanks and a heat storage model of the high-temperature heat storage tank respectively.

[0099] It represents the mass exchange relationship of the high temperature heat storage tank;

[0100] It represents the mass exchange relationship of the low temperature heat storage tank;

[0101] It represents the heat storage model of the high temperature thermal storage tank.

[0102] In the formula, and They represent the mass of the heat storage medium stored in the high-temperature heat storage tank and the low-temperature heat storage tank at time t, and They represent the mass of the heat storage medium stored in the high-temperature heat storage tank and the low-temperature heat storage tank at time t+1, and They represent the mass flow rates of the heat storage medium flowing into the high-temperature heat storage tank and the low-temperature heat storage tank respectively, and Δτ represents the time slot.

[0103] And the output power model of the Carnot battery is as follows:

[0104]

[0105] In the formula, represents the real-time output power of the organic Rankine cycle (ORC) system in the Carnot battery, η genRepresents the generator efficiency.

[0106] (3) Wind power generation system model and photovoltaic power generation system model

[0107] The wind power generation system model is as follows:

[0108]

[0109] In the formula, v t , v rated and Represents actual wind speed, cut-in wind speed, rated wind speed and cut-out wind speed, P Wind It represents the installed capacity of wind power generation system;

[0110] The photovoltaic power generation system model is as follows:

[0111]

[0112] In the formula, S t and S r Represent the actual solar irradiance and rated solar irradiance, P PV Represents the installed capacity of the photovoltaic power generation system.

[0113] In the specific implementation, since wind and photovoltaic power systems are both volatile and intermittent energy sources, the output power has a certain randomness. In order to deeply analyze the wind and light capacity configuration requirements of the independent facility agricultural integrated energy network containing HDR-EGS and Carnot batteries in winter and summer, it is necessary to fully describe the uncertainty differences of wind and light in winter and summer. Therefore, this embodiment adopts a random optimization method to characterize the uncertainty and intermittent characteristics of wind and light output power. Specifically, when establishing a wind power generation system model and a photovoltaic power generation system model, a scene production method is used to randomly generate multiple scenes through different wind speeds and different solar irradiances, and a corresponding scene occurrence probability is generated for each scene to characterize the uncertainty of the output power of the wind power generation system and the photovoltaic power generation system. That is, using the scene production method, the mean and variance of the prediction errors in different seasons are determined through wind speed and solar irradiance prediction data, and several scenes are randomly generated as the realization of wind and light uncertainty, and then the scene reduction method is used to reduce the scene to a specified number of typical scenes, and the probability of different scenes is given.

[0114] Step 102, based on the model of the facility agriculture integrated energy network, establish a capacity configuration model of the facility agriculture integrated energy network.

[0115] Among them, the capacity configuration model of the facility agriculture integrated energy network is to construct an objective function with the goal of meeting the investment cost generated by the load demand of the facility agriculture integrated energy network in the preset area and minimizing the operating cost generated by the mutual conversion of multiple energy sources in the facility agriculture integrated energy network due to the uncertainty of the output power of the wind power generation system and the photovoltaic power generation system. The capacity of HDR-EGS, Carnot battery, wind power generation system and photovoltaic power generation system shall not exceed their corresponding installed capacity.

[0116] (1) Objective function

[0117] The integrated energy network for facility agriculture in this embodiment should consider not only the investment cost when meeting the load demand, but also the operating cost caused by the conversion and adjustment of energy due to the uncertainty of the output power of wind power generation system and photovoltaic power generation system. Among them, the load demand of the preset area, such as the remote area of ​​Qinghai Province, includes: high temperature load, medium temperature load, cold load and electricity load; high temperature load includes the load for drying agricultural products and the steam load for soil disinfection; medium temperature load includes greenhouse heating load and domestic hot water load, and the domestic hot water load is heated in different time periods, and the greenhouse heating load changes with the change of external temperature; cold load is the supporting cold storage of facility agriculture; electricity load includes conventional load for communication, lighting and monitoring, equipment load for promoting crop growth and intermittent load of various pumps and fans.

[0118] Its planning goal can be expressed as:

[0119]

[0120] In the formula, C all represents the average annual cost of the system, S represents the total number of typical scenarios, π s Represents the probability of each scene, C inv and They represent the average annual investment cost of the system and the average annual operating cost under different scenarios respectively.

[0121] C inv Including photovoltaic system installed capacity investment, wind power system installed capacity investment, thermal storage subsystem and Carnot battery investment costs, as shown below:

[0122] C inv =c PV P PV +c Wind P Wind +c QS (S HS +S MS )

[0123] +c EQ (P HEQ +PMEQ )+c HTO m all +c oil η all m all +c orc P K

[0124] In the formula, the various investment costs mainly include the installed capacity of photovoltaic power generation system P PV , wind power generation system installed capacity P Wind , Carnot battery generator power P K , high / medium temperature heat storage system capacity S H / S M And the power P of the high and medium temperature electric heating system HEQ / P MEQ , c PV 、c Wind 、c QS 、c EQ represents the unit kilowatt or unit kilowatt-hour investment cost coefficient of the corresponding system, c orc represents the annual cost of ORC generator, c HTO represents the annual cost of the thermal storage system, m all Indicates the total mass of the heat transfer oil in the heat storage tank, c oil represents the price of heat transfer oil, η oil Indicates the annual heat transfer oil replenishment rate.

[0125] It represents the expectation of system operating cost obtained by random optimization method, including high / medium temperature heating unit operating cost and power generation system operating cost, as shown below:

[0126]

[0127] In the formula, They represent the medium temperature loss heat power, high temperature loss heat power and power loss of the power generation system at time t in scenario s, respectively. m 、c H 、c e They represent the corresponding loss cost coefficients, Thermal power from medium temperature load abandonment and heat dissipation loss of medium temperature heat storage system constitute, Thermal power due to high temperature load abandonment and heat dissipation loss of high temperature heat storage system constitute, Power of abandoned load Abandoned optical power Wind power curtailment and electric heating power loss constitute,

[0128] The power loss during the electric heating and heat storage process is shown as follows:

[0129]

[0130] Where η EQ Indicates the electric heating efficiency.

[0131] (2) Constraints

[0132] Power generation system constraints:

[0133] System power balance constraints

[0134] Power generation system output constraints

[0135] In the formula, Indicates the electricity load required for facility agriculture, represents the electrical cooling load, It is the self-use electricity load of the hot dry rock heat extraction system.

[0136] Heating system constraints:

[0137] High temperature heating power balance constraints

[0138] Thermal power balance constraints for medium temperature heating

[0139] Cooling capacity balance constraint

[0140] In the formula, represent high temperature and medium temperature heat loads respectively, Indicates cooling load.

[0141] Carnot battery motor constraints:

[0142]

[0143] In the formula, Represents the real-time power of the generator in the Carnot battery, which does not exceed the planned capacity.

[0144] Step 103, solving the capacity configuration model to obtain the installed capacity of HDR-EGS, Carnot battery, wind power generation system and photovoltaic power generation system in the facility agriculture integrated energy network.

[0145] Specifically, the constraints of the capacity configuration model of the above-mentioned facility agriculture integrated energy network include the product term of the two decision variables, cooling coefficient and load. The model can be solved with the help of nonlinear optimization solving software to obtain the optimal capacity configuration plan of the facility agriculture integrated energy network, that is, the installed capacity of HDR-EGS, Carnot battery, wind power generation system and photovoltaic power generation system in the facility agriculture integrated energy network.

[0146] In this embodiment, since the hot dry rock geothermal enhancement system HDR-EGS has poor flexibility and is difficult to apply on a large scale, the present invention couples a Carnot battery in the facility agriculture integrated energy network containing HDR-EGS. The Carnot battery is not restricted by geographical conditions, has a large storage capacity, and is highly efficient, which can help solve the problem of poor flexibility of HDR-EGS. Based on this, the architecture of the facility agriculture integrated energy network is established. The architecture generates electricity through HDR-EGS, Carnot batteries, wind power generation systems, and photovoltaic power generation systems, and provides heat through the heat storage tanks in HDR-EGS and Carnot batteries, as well as achieves refrigeration through electric refrigeration and thermal refrigeration. A model of the facility agriculture integrated energy network is established based on the above architecture to establish a capacity configuration model of the facility agriculture integrated energy network, and the capacity configuration of each system in the facility agriculture integrated energy network is determined by the capacity configuration model. In the process of establishing the capacity configuration model, the present invention not only takes into account the investment cost generated by the load demand of the facility agriculture integrated energy network in the preset area, but also takes into account the operating cost generated by the mutual conversion of multiple energy sources in the facility agriculture integrated energy network due to the uncertainty of the output power of the wind power generation system and the photovoltaic power generation system. At this time, the objective function is constructed with the minimum of the above-mentioned various costs as the goal, and the capacity of HDR-EGS, Carnot battery, wind power generation system and photovoltaic power generation system shall not exceed their respective corresponding installed capacity as the constraint condition. On the basis of effectively characterizing the application scenario of the facility agriculture integrated energy network, an optimal capacity configuration scheme (i.e., the installed capacity of HDR-EGS, Carnot battery, wind power generation system and photovoltaic power generation system in the facility agriculture integrated energy network) in this application scenario can be solved. This scheme gives full play to the advantages of synergistic complementarity of multiple energy sources, realizes the comprehensive and efficient utilization of multiple energy sources, and improves the level of comprehensive agricultural development in areas rich in geothermal resources.

[0147] The step division of the various methods above is only for clear description. When implemented, they can be combined into one step or some steps can be split and decomposed into multiple steps. As long as they include the same logical relationship, they are all within the protection scope of the present invention. Adding insignificant modifications or introducing insignificant designs to the algorithm or process without changing the core design of the algorithm and process are all within the protection scope of the invention.

[0148] Another embodiment of the present invention relates to a capacity configuration device for a facility agriculture integrated energy network. The implementation details of the capacity configuration device for the facility agriculture integrated energy network of this embodiment are specifically described below. The following content is only for the convenience of understanding the implementation details provided, and is not necessary for the implementation of this solution. The schematic diagram of the capacity configuration device for the facility agriculture integrated energy network of this embodiment can be as follows Figure 3 As shown, it includes: a first model building module 301, a second model building module 302 and a capacity configuration module 303.

[0149] Specifically, the first model building module 301 is used to establish an HDR-EGS model for realizing the conversion among power generation, heating and cooling, a Carnot battery model for converting geothermal fluid in HDR-EGS into heat storage fluid provided by the heat network, a wind power generation system model for realizing wind power generation, and a photovoltaic power generation system model for realizing photovoltaic power generation according to the architecture of the integrated energy network for facility agriculture, including a power grid with HDR-EGS, Carnot batteries, wind power generation systems and photovoltaic power generation systems as power sources, a heat network with HDR-EGS and heat storage tanks in Carnot batteries as heat sources, and a cold network that performs refrigeration through heat sources and / or power sources, so as to obtain a model of the integrated energy network for facility agriculture.

[0150] The second model building module 302 is used to construct an objective function based on the model of the facility agriculture integrated energy network, with the goal of minimizing the investment cost generated by meeting the load demand of the facility agriculture integrated energy network in the preset area and the operating cost generated by the mutual conversion of various energy sources in the facility agriculture integrated energy network due to the uncertainty of the output power of the wind power generation system and the photovoltaic power generation system, and establish a capacity configuration model of the facility agriculture integrated energy network with the constraint that the capacity of HDR-EGS, Carnot battery, wind power generation system and photovoltaic power generation system shall not exceed their respective corresponding installed capacities.

[0151] The capacity configuration module 303 is used to solve the capacity configuration model and obtain the installed capacity of HDR-EGS, Carnot battery, wind power generation system and photovoltaic power generation system in the facility agriculture integrated energy network.

[0152] It is not difficult to find that this embodiment is a device embodiment corresponding to the above method embodiment, and this embodiment can be implemented in conjunction with the above method embodiment. The relevant technical details and technical effects mentioned in the above embodiment are still valid in this embodiment, and in order to reduce repetition, they are not repeated here. Accordingly, the relevant technical details mentioned in this embodiment can also be applied in the above embodiment.

[0153] It is worth mentioning that all modules involved in this embodiment are logic modules. In practical applications, a logic unit can be a physical unit, a part of a physical unit, or a combination of multiple physical units. In addition, in order to highlight the innovative part of the present invention, this embodiment does not introduce units that are not closely related to solving the technical problem proposed by the present invention, but this does not mean that there are no other units in this embodiment.

[0154] Another embodiment of the present invention relates to a computer device, such as Figure 4 As shown, it includes: at least one processor 401; and a memory 402 that is communicatively connected to the at least one processor 401; wherein the memory 402 stores instructions that can be executed by the at least one processor 401, and the instructions are executed by the at least one processor 401 so that the at least one processor 401 can execute the capacity configuration method of the facility agriculture integrated energy network in the above-mentioned embodiments.

[0155] Among them, the memory and the processor are connected in a bus manner, and the bus may include any number of interconnected buses and bridges, and the bus connects various circuits of one or more processors and memories together. The bus can also connect various other circuits such as peripherals, voltage regulators, and power management circuits, which are well known in the art and are therefore not further described herein. The bus interface provides an interface between the bus and the transceiver. The transceiver can be one element or multiple elements, such as multiple receivers and transmitters, providing a unit for communicating with various other devices on a transmission medium. The data processed by the processor is transmitted on a wireless medium via an antenna, and further, the antenna also receives data and transmits the data to the processor.

[0156] The processor is responsible for managing the bus and general processing, and can also provide various functions, including timing, peripheral interfaces, voltage regulation, power management, and other control functions. Memory can be used to store data used by the processor when performing operations.

[0157] Another embodiment of the present invention relates to a computer-readable storage medium storing a computer program, which implements the above method embodiment when executed by a processor.

[0158] That is, those skilled in the art can understand that all or part of the steps in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a program, and the program is stored in a storage medium, including several instructions for making a device (which can be a single-chip microcomputer, chip, etc.) or a processor (processor) perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM), random access memory (RAM), disk or optical disk, etc., various media that can store program codes.

[0159] Those skilled in the art will appreciate that the above embodiments are specific embodiments for implementing the present invention, and in actual applications, various changes may be made thereto in form and detail without departing from the spirit and scope of the present invention.

Claims

1. A capacity configuration method for a facility agriculture integrated energy network, characterized in that: The method comprises: According to the architecture of the integrated energy network for facility agriculture, a power grid using HDR-EGS, Carnot batteries, wind power generation systems and photovoltaic power generation systems as power sources, a heat network using HDR-EGS and heat storage tanks in Carnot batteries as heat sources, and a cold network using heat sources and / or power sources for refrigeration are respectively established to realize the conversion among power generation, heating and refrigeration, a Carnot battery model for converting geothermal fluid in HDR-EGS into heat storage fluid provided by the heat network, a wind power generation system model for realizing wind power generation, and a photovoltaic power generation system model for realizing photovoltaic power generation, so as to obtain a model of the integrated energy network for facility agriculture; According to the model of the facility agriculture integrated energy network, the objective function is constructed with the goal of meeting the investment cost generated by the load demand of the facility agriculture integrated energy network in the preset area and minimizing the operating cost generated by the mutual conversion of multiple energy sources in the facility agriculture integrated energy network due to the uncertainty of the output power of the wind power generation system and the photovoltaic power generation system. The capacity configuration model of the facility agriculture integrated energy network is established with the constraint that the capacity of HDR-EGS, Carnot battery, wind power generation system and photovoltaic power generation system does not exceed their corresponding installed capacity. The capacity configuration model is solved to obtain the installed capacity of HDR-EGS, Carnot battery, wind power generation system and photovoltaic power generation system in the integrated energy network of facility agriculture.

2. The capacity configuration method of the facility agriculture comprehensive energy network according to claim 1 is characterized in that: The HDR-EGS includes a heat extraction unit, a geothermal power generation unit, a high-temperature heating unit, a medium-temperature heating unit and a refrigeration system. The high-temperature heating unit includes a high-temperature heat exchanger and a first heat storage system, and the medium-temperature heating unit includes a medium-temperature heat exchanger and a second heat storage system.

3. The capacity configuration method of the facility agriculture comprehensive energy network according to claim 2 is characterized in that: The model of the heat extraction unit is as follows: In the formula, α t represents the geothermal energy coefficient for power generation, β t represents the geothermal energy coefficient used for heating, and Respectively represent the residual temperature of the geothermal medium after passing through the high-temperature heating unit and the geothermal power generation unit, Indicates the heat source temperature of the medium temperature heat exchanger; The model of the geothermal power generation unit is as follows: In the formula, Indicates the output power of the geothermal power generation unit at the current moment, represents the power generation efficiency, cpHDR represents the specific heat capacity of the geothermal fluid, represents the mass flow rate for the power generation unit, T HDR Indicates the temperature of the geothermal working fluid input into the geothermal power generation unit; The heating model of the high temperature heat exchanger is as follows: In the formula, m HDR represents the total mass flow rate of geothermal fluid, Indicates the outlet temperature of the high temperature side of the heat exchanger; The heat storage model of the high temperature heat exchanger is as follows: In the formula, and cp Oil Respectively represent the mass flow rate and specific heat capacity of the high temperature heating medium, T H Indicates the temperature provided by the high temperature load, T Oil Indicates the initial temperature of the high-temperature heating medium; The model of the first heat storage system is as follows: In the formula, and They represent the high-temperature heat storage, heat storage / release power and electric heating power at time t, respectively, H represents the heat dissipation coefficient, η EQ Indicates the electrical heat transfer coefficient, μ Hc and μ Hdc Variables all represent preset variables; The heating model of the medium temperature heat exchanger is as follows: In the formula, represents the heat source temperature of the heat exchanger, Indicates the reinjection temperature; The heat storage model of the medium temperature heat exchanger is as follows: In the formula, represents the mass flow rate of medium-temperature heating medium, represents the specific heat capacity of medium temperature heating medium, T M ,T C Respectively represent the heating temperature and condensing water temperature; The model of the second heat storage system is as follows: In the formula, and They represent the medium temperature heat storage, heat storage / release power and electric heating power at time t, respectively, M represents the heat dissipation coefficient, η EQ Indicates the electrical heat transfer coefficient, μ Mc and μ Mdc All represent preset variables.

4. The capacity configuration method of the facility agriculture comprehensive energy network according to claim 1 is characterized in that: The Carnot battery model is as follows: In the formula, represents the mass flow rate of high-temperature geothermal fluid entering the shell and tube heat exchanger of the Carnot cell, represents the mass flow rate of the low-temperature heat storage medium entering the shell and tube heat exchanger, and C p2,3 represent the temperature and specific heat capacity of the geothermal fluid, respectively. and C p4,5 represent the temperature and specific heat capacity of the heat storage medium respectively.

5. The capacity configuration method of the facility agriculture comprehensive energy network according to claim 1 is characterized in that: The capacity configuration model for establishing a facility agriculture integrated energy network includes: When establishing the wind power generation system model and the photovoltaic power generation system model, the scenario production method is used to randomly generate multiple scenarios through different wind speeds and different solar irradiances, and the corresponding scenario occurrence probability is generated for each scenario to characterize the uncertainty of the output power of the wind power generation system and the photovoltaic power generation system.

6. The capacity configuration method of the facility agriculture comprehensive energy network according to claim 5 is characterized in that: The wind power generation system model is as follows: In the formula, v t , v rated and Represents actual wind speed, cut-in wind speed, rated wind speed and cut-out wind speed, P Wind It represents the installed capacity of wind power generation system; The photovoltaic power generation system model is as follows: In the formula, S t and S r Represent the actual solar irradiance and rated solar irradiance, P PV Represents the installed capacity of the photovoltaic power generation system.

7. The capacity configuration method of the facility agriculture comprehensive energy network according to claim 1 is characterized in that: The preset load requirements include: high temperature load, medium temperature load, cold load and power load; Among them, the high-temperature load includes the load used for drying agricultural products and the steam load used for soil disinfection; the medium-temperature load includes the greenhouse heating load and the domestic hot water load; the cold load is the supporting cold storage for facility agriculture; the electrical load includes the conventional load used for communication, lighting and monitoring, the equipment load for promoting crop growth, and the intermittent load of various pumps and fans.

8. A capacity configuration device for a facility agriculture integrated energy network, characterized in that: The device comprises: The first model building module is used to establish, according to the architecture of the facility agriculture integrated energy network, a power grid using HDR-EGS, Carnot batteries, wind power generation systems and photovoltaic power generation systems as power sources, a heat network using HDR-EGS and heat storage tanks in Carnot batteries as heat sources, and a cold network using heat sources and / or power sources for refrigeration, respectively, an HDR-EGS model for realizing conversion among power generation, heating and refrigeration, a Carnot battery model for converting geothermal fluid in HDR-EGS into heat storage fluid provided by the heat network, a wind power generation system model for realizing wind power generation, and a photovoltaic power generation system model for realizing photovoltaic power generation, so as to obtain a model of the facility agriculture integrated energy network; The second model building module is used to construct an objective function based on the model of the facility agriculture integrated energy network, with the goal of meeting the investment cost generated by the load demand of the facility agriculture integrated energy network in the preset area and the minimum operating cost generated by the mutual conversion of multiple energy sources in the facility agriculture integrated energy network due to the uncertainty of the output power of the wind power generation system and the photovoltaic power generation system, and establish a capacity configuration model of the facility agriculture integrated energy network with the constraint that the capacity of HDR-EGS, Carnot battery, wind power generation system and photovoltaic power generation system does not exceed their corresponding installed capacity respectively; The capacity configuration module is used to solve the capacity configuration model and obtain the installed capacity of HDR-EGS, Carnot battery, wind power generation system and photovoltaic power generation system in the facility agriculture integrated energy network.

9. A computer device, characterized in that: include: at least one processor; And, a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor so that the at least one processor can execute the capacity configuration method of the facility agriculture integrated energy network as described in any one of claims 1 to 7.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the capacity configuration method of the facility agriculture integrated energy network as described in any one of claims 1 to 7 is implemented.

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