A method and device for optimizing energy efficiency of a multi-energy complementary park

Abstract

The present invention provides a method and device for optimizing the energy efficiency of a multi-energy complementary park, the method comprising: obtaining input energy side data, energy conversion equipment data, and energy storage equipment data of a target park; the input energy side data includes the total calorific value of purchased electric energy and purchased natural gas; the energy conversion equipment data includes the electric energy directly consumed by wind power generation devices, the electric energy directly consumed by solar power generation devices, the abandoned wind power generation, and the abandoned solar power generation; constructing an energy flow model of a multi-energy complementary park, and obtaining the efficiency index of the cold, heat, and electricity loads of the target park; solving the energy flow model of the multi-energy complementary park with the goal of maximizing the electric energy substitution rate, obtaining the solution result, and optimizing the energy efficiency of the target park. Compared with the prior art, different sources of cold, heat, and electricity loads are subdivided, and different input energy side data, energy conversion equipment data, and energy storage equipment data are considered, thereby improving the evaluation accuracy and optimization efficiency of energy efficiency.

Description

Technical Field

[0001] The present invention relates to the field of energy efficiency optimization, and in particular to a method and device for optimizing energy efficiency of a multi-energy complementary park. Background Art

[0002] As the proportion of power generation energy in primary energy gradually increases, the proportion of electricity in terminal energy consumption steadily increases, and the proportion of clean energy such as wind and solar power generation grows rapidly. However, energy and environmental problems remain severe, traditional fossil energy accounts for a large proportion of energy, and environmental pollution problems still exist. Therefore, promoting the construction of multi-energy complementary parks has become an important measure.

[0003] There are many working equipments in the multifunctional complementary park, and the energy types are diversified. The conversion process of various types of energy is complicated, and the energy supply, transmission and user load of the park are interrelated and interpenetrating. It can be seen that analyzing the energy efficiency of the multifunctional complementary park is very important. At present, the energy efficiency evaluation of the park mainly focuses on the relationship between different types of user loads and the total input energy of the park, but often ignores the specific sources of various cold, hot and electric loads of users, and does not consider eliminating the input energy that is not converted into a certain load, which makes the energy efficiency data obtained have large errors. In addition, the existing technology does not take into account the difference in energy quality and the cascade utilization of the combined heat, cold and power system. There are few evaluation indicators for electric energy substitution, and there is a lack of indicators that can reasonably measure the level of electric energy substitution. Summary of the invention

[0004] The present invention provides a method and device for optimizing the energy efficiency of a multi-energy complementary park, subdivides the specific sources of cooling, heating and electricity loads, and proposes an electric energy substitution rate indicator for evaluating the level of electric energy substitution, thereby improving the accuracy of energy efficiency evaluation and the optimization efficiency.

[0005] In order to solve the above technical problems, an embodiment of the present invention provides a method for optimizing energy efficiency of a multi-energy complementary park, including:

[0006] Obtain the input energy side data, energy conversion equipment data, and energy storage equipment data of the target park; wherein the input energy side data includes the electric energy purchased from the power grid and the total calorific value of the natural gas purchased by the park; the energy conversion equipment data includes the electric energy generated by the wind power generation device that can be directly consumed by the park, the electric energy generated by the solar power generation device that can be directly consumed by the park, the abandoned wind power generation generated by the wind power generation device, and the abandoned solar power generation generated by the solar power generation device; the energy storage equipment includes power storage equipment, heat storage equipment, and cold storage equipment, and the charging process of the energy storage equipment is used as the load;

[0007] According to the input energy side data, the energy conversion equipment data and the energy storage equipment data, a multi-energy complementary park energy flow model of the target park is constructed, and the cooling, heating and electricity loads of the target park are obtained. Efficiency indicators;

[0008] According to the multi-energy complementary park energy flow model, combined with the cooling, heating and electricity load Efficiency index, with the goal of maximizing the electric energy substitution rate of the target park, solving the energy efficiency optimization problem of the target park, obtaining the solution result and optimizing the energy efficiency of the target park through the solution result.

[0009] As a preferred solution, the energy storage equipment data includes the working state of the electric storage equipment, the working state of the cold storage equipment, the working state of the heat storage equipment, the energy discharge efficiency of the electric storage equipment, the energy discharge efficiency of the cold storage equipment, the energy discharge efficiency of the heat storage equipment, the charging and discharging energy of the electric storage equipment, the charging and discharging energy of the cold storage equipment, the charging and discharging energy of the heat storage equipment, the electric energy quality coefficient, the hot water energy quality coefficient and the cold air energy quality coefficient; the energy conversion equipment data also includes the natural gas energy quality coefficient and the working efficiency of the equipment for converting electric energy into natural gas in the park;

[0010] The multi-energy complementary park energy flow model of the target park is constructed as follows:

[0011] E in =E e λ e +E w.e λ e +E s.e λ e +(E w.ex +E s.ex )η P2G λ g +E g λ g ;

[0012] R out =(1-θ e )R e λ e η e.R +(1-θ c )R c λ c η c.R +(1-θ h )R h λ h η h.R ;

[0013] Among them, E in The conversion of all energy input into the park Value, E e is the electricity purchased from the grid, E w.e The electric energy generated by the wind power generation device that can be directly consumed by the park, E s.e The electric energy generated by the solar power generation device that can be directly consumed by the park, Ew.ex is the abandoned wind power generated by the wind power generation device, E s.ex E is the amount of abandoned solar power generated by the solar power generation device. g is the total calorific value of natural gas purchased from the park, η P2G is the efficiency of the equipment that converts electricity into natural gas, and its value is between 0 and 1. g , e , h , c are the energy quality coefficients of natural gas, electricity, hot water and air conditioning respectively, R out Indicates the conversion of the total energy released by the park's energy storage equipment, including cooling, heating and electricity Value, θ e ,θ c ,θ h are the working states of the electric storage device, cold storage device and heat storage device respectively. When the value is 1, it means that the energy storage device is working in the charging state, and when the value is 0, it means that the energy storage device is working in the discharging state. e , R c , R h are the charging and discharging energies of the electric storage device, cold storage device and heat storage device, respectively, e.R , η c.R , η h.R They are the efficiency of the energy release process of the electric storage device, cold storage device and heat storage device respectively, and their values ​​range from 0 to 1.

[0014] As a preferred solution, the cooling, heating and electricity loads of the target park are obtained. Efficiency indicators, specifically:

[0015] Obtain the ratio of the total power load of the park to the power supply energy in the input park energy, and the total cooling load conversion of the park Value and input park energy used for cooling energy conversion The ratio of the value and the total heat load of the park Value and input park energy used for heating energy conversion The ratio of values.

[0016] As a preferred solution, the energy conversion equipment data also includes the high-temperature section energy quality coefficient, the medium-temperature section energy quality coefficient and the low-temperature section energy quality coefficient of the gas unit, and the heat in the medium-temperature section that flows into the waste heat boiler, the heat pump, and the absorption refrigerator; wherein the high-temperature section is greater than 1000 degrees Celsius, the medium-temperature section is 300 to 500 degrees Celsius, and the low-temperature section is less than 200 degrees Celsius;

[0017] In obtaining the cooling, heating and electricity load of the target park Efficiency indicators previously included:

[0018] Calculate the heat energy generated by the gas unit in the high, medium and low temperature ranges respectively The specific proportion is:

[0019]

[0020]

[0021]

[0022] Among them, α H , α M , α L The heat energy of high temperature section, medium temperature section and low temperature section is Energy ratio, λ H , M , L They are the high temperature section energy quality coefficient, medium temperature section energy quality coefficient and low temperature section energy quality coefficient of the gas turbine unit respectively;

[0023] Calculate the proportion of heat flowing into the waste heat boiler, heat pump and absorption chiller to the heat in the medium temperature section;

[0024]

[0025]

[0026]

[0027] Among them, β b , β p , β r They represent the proportion of heat flowing into the waste heat boiler, heat pump, and absorption chiller in the heat of the medium temperature section, Q b , Q p , Q r They are the heat in the medium temperature section that flows into the waste heat boiler, heat pump, and absorption chiller.

[0028] As a preferred solution, the energy storage equipment data also includes the total electricity load of park users, the total cooling load of park users, the steam load of park users, the hot water load of park users and the proportion of natural gas supplied to gas units in the total natural gas in the park; the energy conversion equipment data also includes the working efficiency of absorption refrigerants, the power consumption of electric refrigeration equipment, the working efficiency of electric refrigeration equipment, the working efficiency of electric heating equipment, the heating efficiency of waste heat boilers, the power consumed by heat pumps and the working efficiency of heat pumps;

[0029] The method for obtaining the ratio of the total power load of the park to the power supply energy in the input park energy is specifically as follows:

[0030] The power generation efficiency of the high and medium temperature generators is obtained, and the ratio of the total power load of the park to the power supply energy in the input park energy is calculated according to the following formula:

[0031]

[0032] Among them, η e L is the ratio of the total power load of the park to the energy used for power supply in the energy input to the park. e is the total power load of users in the park, W e.in The conversion of all input energy used to generate electrical load in the park Values, specifically:

[0033] W e.in =E e λ e +E w.e λ e +E s.e λ e +(1-θ e )R e λ e η e.R +γ g E G α H η G1 +γ g E G β b η G2 ;

[0034] Among them, η G1 , η G2 Respectively represent the power generation efficiency of the high and medium temperature generators, and the value range is between 0 and 1. g It represents the proportion of natural gas supplied to gas-fired units in the total natural gas in the park, E G Converted to the total natural gas supplied to the park Values, specifically:

[0035] E G =(E w.ex +E s.ex )η P2G λ g +E g λ g ;

[0036] The total cooling load of the park is converted into Value and input park energy used for cooling energy conversion The specific method for obtaining the ratio of values ​​is as follows:

[0037]

[0038] Among them, ηc Converted to the total cooling load of the park Value and input park energy used for cooling energy conversion The ratio of the values, L c represents the total cooling load of the park users, W c.in The conversion of all input energy used to generate cooling load in the park Values, specifically:

[0039] W c.in =γ g E G α M β r η r.c +E e.c λ e η e.c +(1-θ c )R c λ c η c.R ;

[0040] Among them, η r.c is the working efficiency of the absorption chiller, ranging from 0 to 1, E e.c is the power consumption of the electric refrigeration equipment, η e.c is the working efficiency of the electric refrigeration equipment, ranging from 0 to 1, L c is the total cooling load of users in the park;

[0041] The total heat load conversion of the park Value and input park energy used for heating energy conversion The specific method for obtaining the ratio of values ​​is as follows:

[0042]

[0043] Among them, η h = Total heat load conversion for the park Value and input park energy used for heating energy conversion The ratio of the values, L s is the steam load of the park users, L h is the hot water load of the park users, W h.in The conversion of all input energy used to generate cooling load in the park Values, specifically:

[0044] W h.in =E e.h λ e η e.h +(1-γ g )E G η g.h +γ g EG α M β b η b +(γ g E G α M β p +E p )η p +(1-θ h )R h λ h η h.R ;

[0045] Among them, E e.h is the electric energy consumed by the electric heating equipment, η e.h is the working efficiency of the electric heating equipment, E p represents the amount of electricity consumed by the heat pump, η p The working efficiency of the heat pump.

[0046] As a preferred solution, before solving the energy flow model of the multi-energy complementary park, it also includes: calculating the electric energy substitution rate μ of the target park, specifically:

[0047] W e =(E e λ e +E w.e λ e +E s.e λ e +(1-θ e )R e η e.R )η e.T ;

[0048] W c =E e.c λ e η e.c η c.T ;

[0049] W h =E e.h λ e η e.h η h.T ;

[0050]

[0051] Among them, W e Indicates the electrical load in the park that is directly supplied by electric energy Value, W c Indicates the conversion of cooling load directly supplied by electric energy in the park Value, W h Indicates the conversion of heat load directly supplied by electricity in the park Value, η e.T is the transmission efficiency of electric energy to the user side, which is expressed by the ratio of the total electric load of the park to the energy used for power supply in the input park energy, and the value range is between 0 and 1. c.T The transmission efficiency of cold energy to the user side is converted by the total cooling load of the park. Value and input park energy used for cooling energy conversion The ratio of the values ​​is expressed in the range of 0 to 1, η h.T The transmission efficiency of heat energy to the user side is converted by the total cooling load of the park. Value and input park energy used for cooling energy conversion The value is expressed as a ratio, and the value range is between 0 and 1.

[0052] As a preferred solution, according to the energy flow model of the multi-energy complementary park, combined with the cooling, heating and electricity loads Efficiency index, with the maximum electric energy substitution rate of the target park as the goal, solves the energy efficiency optimization problem of the target park, including:

[0053] According to the multi-energy complementary park energy flow model, combined with the cooling, heating and electricity load The efficiency index is to maximize the electricity substitution rate of the target park, and is calculated based on the electricity purchased from the power grid, the electricity consumed by the electric refrigeration equipment, the electricity consumed by the electric heating equipment, and the total natural gas supplied to the park. The value is the decision variable, with energy balance constraints, capacity equipment constraints, energy storage device constraints and energy network constraints, and electric load Efficiency constraints, cooling load Efficiency Constraints and Heat Loads The efficiency constraint is used as a constraint condition to solve the energy efficiency optimization problem of the target park.

[0054] As a preferred embodiment, the energy conversion equipment includes photovoltaic power generation equipment, wind power generation equipment, electric energy conversion to natural gas equipment, electric refrigeration equipment, gas heating equipment, electric heat generation equipment, waste heat boilers, heat pumps, absorption refrigeration equipment, gas units and waste heat recovery converters.

[0055] Accordingly, the embodiment of the present invention also provides a device for optimizing energy efficiency of a multi-energy complementary park, including an acquisition module, a model building module and an optimization module; wherein:

[0056] The acquisition module is used to acquire the input energy side data, energy conversion equipment data, and energy storage equipment data of the target park; wherein the input energy side data includes the electric energy purchased from the power grid and the total calorific value of the natural gas purchased by the park; the energy conversion equipment data includes the electric energy generated by the wind power generation device that can be directly consumed by the park, the electric energy generated by the solar power generation device that can be directly consumed by the park, the abandoned wind power generation generated by the wind power generation device, and the abandoned solar power generation generated by the solar power generation device; the energy storage equipment includes power storage equipment, heat storage equipment, and cold storage equipment, and the charging process of the energy storage equipment is used as a load;

[0057] The model building module is used to build a multi-energy complementary park energy flow model of the target park according to the input energy side data, the energy conversion equipment data and the energy storage equipment data, and obtain the cooling, heating and electricity loads of the target park. Efficiency indicators;

[0058] The optimization module is used to combine the cooling, heating and electricity loads according to the multi-energy complementary park energy flow model Efficiency index, with the goal of maximizing the electric energy substitution rate of the target park, solving the energy efficiency optimization problem of the target park, obtaining the solution result and optimizing the energy efficiency of the target park through the solution result.

[0059] As a preferred solution, the energy storage equipment data includes the working state of the electric storage equipment, the working state of the cold storage equipment, the working state of the heat storage equipment, the energy discharge efficiency of the electric storage equipment, the energy discharge efficiency of the cold storage equipment, the energy discharge efficiency of the heat storage equipment, the charging and discharging energy of the electric storage equipment, the charging and discharging energy of the cold storage equipment, the charging and discharging energy of the heat storage equipment, the electric energy quality coefficient, the hot water energy quality coefficient and the cold air energy quality coefficient; the energy conversion equipment data also includes the natural gas energy quality coefficient and the working efficiency of the equipment for converting electric energy into natural gas in the park;

[0060] The model building module builds the multi-energy complementary park energy flow model of the target park, specifically:

[0061] E in =E e λ e +E w.e λ e +E s.e λ e +(E w.ex +E s.ex )η P2G λ g +E g λ g ;

[0062] R out =(1-θ e )R e λe η e.R +(1-θ c )R c λ c η c.R +(1-θ h )R h λ h η h.R ;

[0063] Among them, E in The conversion of all energy input into the park Value, E e is the electricity purchased from the grid, E w.e The electric energy generated by the wind power generation device that can be directly consumed by the park, E s.e The electric energy generated by the solar power generation device that can be directly consumed by the park, E w.ex is the abandoned wind power generated by the wind power generation device, E s.ex E is the amount of abandoned solar power generated by the solar power generation device. g is the total calorific value of natural gas purchased from the park, η P2G is the efficiency of the equipment that converts electricity into natural gas, and its value is between 0 and 1. g , e , h , c are the energy quality coefficients of natural gas, electricity, hot water and air conditioning respectively, R out Indicates the conversion of the total energy released by the park's energy storage equipment, including cooling, heating and electricity Value, θ e ,θ c ,θ h are the working states of the electric storage device, cold storage device and heat storage device respectively. When the value is 1, it means that the energy storage device is working in the charging state, and when the value is 0, it means that the energy storage device is working in the discharging state. e , R c , R h are the charging and discharging energies of the electric storage device, cold storage device and heat storage device, respectively, e.R , η c.R , η h.R They are the efficiency of the energy release process of the electric storage device, cold storage device and heat storage device respectively, and their values ​​range from 0 to 1.

[0064] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0065] An embodiment of the present invention provides a method and device for optimizing the energy efficiency of a multi-energy complementary park, the method comprising: obtaining input energy side data, energy conversion equipment data, and energy storage equipment data of a target park; wherein the input energy side data comprises electric energy purchased from the power grid and the total calorific value of natural gas purchased from the park; the energy conversion equipment data comprises electric energy generated by wind power generation devices that can be directly consumed by the park, electric energy generated by solar power generation devices that can be directly consumed by the park, abandoned wind power generation generated by wind power generation devices, and abandoned solar power generation generated by solar power generation devices; the energy storage equipment comprises electric storage equipment, heat storage equipment, and cold storage equipment, and the charging process of the energy storage equipment is used as a load; based on the input energy side data, the energy conversion equipment data, and the energy storage equipment data, a multi-energy complementary park energy flow model of the target park is constructed, and the cold, heat, and electricity loads of the target park are obtained. Efficiency index; based on the energy flow model of the multi-energy complementary park, combined with the cooling, heating and electricity loads Efficiency index, with the goal of maximizing the electric energy substitution rate of the target park, solves the energy efficiency optimization problem of the target park, obtains the solution result and optimizes the energy efficiency of the target park through the solution result. Compared with the existing technology, the different sources of cold, hot and electric loads are specifically subdivided, different input energy side data, different energy conversion equipment data and different energy storage equipment data are considered, and the electric energy substitution rate index for evaluating the electric energy substitution level is proposed, which improves the accuracy of energy efficiency evaluation and optimization efficiency.

[0066] Furthermore, the embodiment of the present invention also adopts energy quality coefficient to describe the quality difference of different energies, and divides the heat of the gas unit in the multi-generation system into three temperature ranges, taking into account the cascade utilization, and further improving the evaluation accuracy.

[0067] Furthermore, the input energy that is not converted into load is eliminated from the total input energy of the park, and only the input energy that affects the load is retained. Different input energies are divided in detail, avoiding the existing technology of directly using total input energy for calculation, thereby obtaining more accurate energy efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0068] Figure 1 : A flow chart of an embodiment of the method for optimizing energy efficiency of a multi-energy complementary park provided by the present invention.

[0069] Figure 2 : A structural schematic diagram of an embodiment of the multi-energy complementary park energy efficiency optimization device provided by the present invention. DETAILED DESCRIPTION

[0070] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0071] Embodiment 1:

[0072] Please refer to Figure 1 , Figure 1 A method for optimizing energy efficiency of a multi-energy complementary park provided in an embodiment of the present invention includes steps S1 to S3, wherein:

[0073] Step S1, obtaining the input energy side data, energy conversion equipment data, and energy storage equipment data of the target park; wherein the input energy side data includes the electric energy purchased from the power grid and the total calorific value of the natural gas purchased by the park; the energy conversion equipment data includes the electric energy generated by the wind power generation device that can be directly consumed by the park, the electric energy generated by the solar power generation device that can be directly consumed by the park, the abandoned wind power generation generated by the wind power generation device, and the abandoned solar power generation generated by the solar power generation device; the energy storage equipment includes power storage equipment, heat storage equipment, and cold storage equipment, and the charging process of the energy storage equipment is used as a load.

[0074] In this embodiment, the target park includes energy storage equipment. During the charging process, the energy storage equipment absorbs energy from the energy input side of the park. The charging process of the energy storage equipment is regarded as a load. During the discharge process, the energy emitted by the energy storage equipment to the load side of the park is regarded as an energy source.

[0075] The energy storage equipment data include but are not limited to the working status of the electric storage equipment, the working status of the cold storage equipment, the working status of the heat storage equipment, the energy discharge efficiency of the electric storage equipment, the energy discharge efficiency of the cold storage equipment, the energy discharge efficiency of the heat storage equipment, the charging and discharging energy of the electric storage equipment, the charging and discharging energy of the cold storage equipment, the charging and discharging energy of the heat storage equipment, the energy quality coefficient of electric energy, the energy quality coefficient of hot water and the energy quality coefficient of cold air, as well as the total electric load of park users, the total cold load of park users, the steam load of park users, the hot water load of park users and the proportion of natural gas supplied to gas-fired units in the total natural gas in the park.

[0076] The energy conversion equipment data also includes the natural gas energy quality coefficient and the working efficiency of the equipment for converting electric energy into natural gas in the park, and further includes the high temperature section energy quality coefficient, medium temperature section energy quality coefficient and low temperature section energy quality coefficient of the gas unit, and the heat in the medium temperature section heat flowing into the waste heat boiler, heat pump, and absorption refrigerator, and also includes the working efficiency of the absorption refrigerant, the power consumption of the electric refrigeration equipment, the working efficiency of the electric refrigeration equipment, the working efficiency of the electric heating equipment, the heating efficiency of the waste heat boiler, the power consumed by the heat pump and the working efficiency of the heat pump, etc. Preferably, the high temperature section is greater than 1000 degrees Celsius, the medium temperature section is 300 to 500 degrees Celsius, and the low temperature section is less than 200 degrees Celsius.

[0077] In fact, since wind and solar resources are directly obtained from nature and have no energy cost, regional wind and solar energy is not directly considered as input energy. Instead, solar and wind power generation converted from regional wind and solar energy and natural gas generated by P2G are considered as input energy. Therefore, the input energy side also includes natural gas generated by power-to-natural gas (P2G) devices. The user-side load types are mainly cold, hot and electric.

[0078] The energy conversion equipment includes, but is not limited to, photovoltaic power generation equipment, wind power generation equipment, power-to-natural gas (P2G) devices, electric refrigeration equipment, gas heating equipment, electric heat generation equipment, waste heat boilers, heat pumps, absorption refrigeration equipment, gas units and waste heat recovery converters.

[0079] Step S2: constructing a multi-energy complementary park energy flow model of the target park based on the input energy side data, the energy conversion equipment data and the energy storage equipment data, and obtaining the cooling, heating and electricity loads of the target park. Efficiency indicators.

[0080] In this step, the multi-energy complementary park energy flow model of the target park is constructed as follows:

[0081] E in =E e λ e +E w.e λ e +E s.e λ e +(E w.ex +E s.ex )η P2G λ g +E g λ g ;

[0082] R out =(1-θ e )R e λ e η e.R+(1-θ c )R c λ c η c.R +(1-θ h )R h λ h η h.R ;

[0083] Among them, E in The conversion of all energy input into the park Value, E e is the electricity purchased from the grid, E w.e The electric energy generated by the wind power generation device that can be directly consumed by the park, E s.e The electric energy generated by the solar power generation device that can be directly consumed by the park, E w.ex is the abandoned wind power generated by the wind power generation device, E s.ex E is the amount of abandoned solar power generated by the solar power generation device. g is the total calorific value of natural gas purchased from the park, η P2G is the efficiency of the equipment that converts electricity into natural gas, and its value is between 0 and 1. g , e , h , c are the energy quality coefficients of natural gas, electricity, hot water and air conditioning respectively, R out Indicates the conversion of the total energy released by the park's energy storage equipment, including cooling, heating and electricity Value, θ e ,θ c ,θ h are the working states of the electric storage device, cold storage device and heat storage device respectively. When the value is 1, it means that the energy storage device is working in the charging state, and when the value is 0, it means that the energy storage device is working in the discharging state. e , R c , R h are the charging and discharging energies of the electric storage device, cold storage device and heat storage device, respectively, e.R , η c.R , η h.R They are the efficiency of the energy release process of the electric storage device, cold storage device and heat storage device respectively, and their values ​​range from 0 to 1.

[0084] Furthermore, g Expressing the natural gas energy quality coefficient:

[0085] Among them, T 0 Indicates the temperature in the environment, in K; T g Indicates the full combustion temperature of natural gas in the boiler, which is 1500℃, i.e. 1773.15K;

[0086] λ e Represents the energy quality coefficient of electric energy, and its value is 1;

[0087] λ h The energy quality coefficient of hot water is:

[0088] Among them, T 0 Indicates the temperature in the environment, in K; T h Indicates hot water temperature in K; T in Indicates the hot water supply temperature in K; T out Indicates the hot water return temperature in K.

[0089] λ c The energy quality coefficient of cooling air is:

[0090] Among them, T 0 Indicates the temperature in the environment; the unit is K; T c Indicates the cooling air temperature in K.

[0091] Optionally, the cooling, heating and electricity load of the target park Efficiency indicators include the ratio of the total power load of the park to the energy input to the park used for power supply, the total cooling load conversion of the park Value and input park energy used for cooling energy conversion The ratio of the value and the total heat load of the park Value and input park energy used for heating energy conversion The ratio of values.

[0092] For example, to obtain the above three types of cooling, heating and electricity loads Efficiency indicators:

[0093] In obtaining the cooling, heating and electricity load of the target park Before the efficiency index is calculated, the heat energy generated by the gas unit in the high, medium and low temperature ranges is calculated. The specific proportion is:

[0094]

[0095]

[0096]

[0097] Among them, α H , α M , α L The heat energy of high temperature section, medium temperature section and low temperature section is Energy ratio, λ H ,M , L They are the high temperature section energy quality coefficient, medium temperature section energy quality coefficient and low temperature section energy quality coefficient of the gas turbine unit respectively.

[0098] in, T 0 Indicates the temperature in the environment, in K; T H 、T M 、T L They represent the average temperatures of hot gases in the high, medium and low temperature sections of the gas unit, respectively, in K.

[0099] Calculate the proportion of heat flowing into the waste heat boiler, heat pump and absorption chiller to the heat in the medium temperature section;

[0100]

[0101]

[0102]

[0103] Among them, β b , β p , β r They represent the proportion of heat flowing into the waste heat boiler, heat pump, and absorption chiller in the heat of the medium temperature section, Q b , Q p , Q r They are the heat in the medium temperature section that flows into the waste heat boiler, heat pump, and absorption chiller.

[0104] The power generation efficiency of the high and medium temperature generators is obtained, and the ratio of the total power load of the park to the power supply energy in the input park energy is calculated according to the following formula:

[0105]

[0106] Among them, η e is the ratio of the total power load of the park to the power supply energy in the park input energy (used to characterize the power efficiency), L e is the total power load of users in the park, W e.in The conversion of all input energy used to generate electrical load in the park Values, specifically:

[0107] W e.in =E e λ e +E w.e λ e +E s.e λ e +(1-θ e )R e λ e ηe.R +γ g E G α H η G1 +γ g E G β b η G2 ;

[0108] Among them, η G1 , η G2 Respectively represent the power generation efficiency of the high and medium temperature generators, and the value range is between 0 and 1. g It represents the proportion of natural gas supplied to gas-fired units in the total natural gas in the park, E G Converted to the total natural gas supplied to the park Values, specifically:

[0109] E G =(E w.ex +E s.ex )η P2G λ g +E g λ g ;

[0110] The total cooling load of the park is converted into Value and input park energy used for cooling energy conversion The specific method for obtaining the ratio of values ​​is as follows:

[0111]

[0112] Among them, η c Converted to the total cooling load of the park Value and input park energy used for cooling energy conversion The ratio of the values ​​(used to characterize the cooling energy efficiency), L c represents the total cooling load of the park users, W c.in The conversion of all input energy used to generate cooling load in the park Values, specifically:

[0113] W c.in =γ g E G α M β r η r.c +E e.c λ e η e.c +(1-θ c )R c λ c η c.R ;

[0114] Among them, ηr.c is the working efficiency of the absorption chiller, ranging from 0 to 1, E e.c is the power consumption of the electric refrigeration equipment, η e.c is the working efficiency of the electric refrigeration equipment, ranging from 0 to 1, L c is the total cooling load of users in the park;

[0115] The total heat load conversion of the park Value and input park energy used for heating energy conversion The specific method for obtaining the ratio of values ​​is as follows:

[0116]

[0117] Among them, η h = Total heat load conversion for the park Value and input park energy used for heating energy conversion The ratio of the values ​​(used to characterize thermal energy efficiency), L s is the steam load of the park users, L h is the hot water load of the park users, W h.in The conversion of all input energy used to generate cooling load in the park Values, specifically:

[0118] W h.in =E e.h λ e η e.h +(1-γ g )E G η g.h +γ g E G α M β b η b +(γ g E G α M β p +E p )η p +(1-θ h )R h λ h η h.R ;

[0119] Among them, E e.h is the electric energy consumed by the electric heating equipment, η e.h is the working efficiency of the electric heating equipment, E p represents the amount of electricity consumed by the heat pump, η p The working efficiency of the heat pump.

[0120] Furthermore, between step S2 and step S3, the method further includes: calculating the electric energy substitution rate μ of the target park, which reflects the conversion of the terminal electric energy used and the input park energy. Value ratio, specifically:

[0121] W e =(E e λ e +E w.e λ e +E s.e λ e +(1-θ e )R e η e.R )η e.T ;

[0122] W c =E e.c λ e η e.c η c.T ;

[0123] W h =E e.h λ e η e.h η h.T ;

[0124]

[0125] Among them, W e Indicates the electrical load in the park that is directly supplied by electric energy Value, W c Indicates the conversion of cooling load directly supplied by electric energy in the park Value, W h Indicates the conversion of heat load directly supplied by electricity in the park Value, η e.T is the transmission efficiency of electric energy to the user side, which is expressed by the ratio of the total electric load of the park to the energy used for power supply in the input park energy, and the value range is between 0 and 1. c.T The transmission efficiency of cold energy to the user side is converted by the total cooling load of the park. Value and input park energy used for cooling energy conversion The ratio of the values ​​is expressed in the range of 0 to 1, η h.T The transmission efficiency of heat energy to the user side is converted by the total cooling load of the park. Value and input park energy used for cooling energy conversion The ratio of the values ​​is expressed in the range of 0 to 1. In the implementation of the present application, the electric energy substitution rate index reflects the proportion of electric energy in the load energy source, which is used to measure the electrification level of the park, has guiding significance for the transformation and upgrading of the links with relatively backward electrification levels, and can better serve the environmental protection theme of green energy saving.

[0126] Step S3, according to the multi-energy complementary park energy flow model, combined with the cooling, heating and electricity load Efficiency index, with the goal of maximizing the electric energy substitution rate of the target park, solving the energy efficiency optimization problem of the target park, obtaining the solution result and optimizing the energy efficiency of the target park through the solution result.

[0127] In this embodiment, according to the multi-energy complementary park energy flow model, combined with the cooling, heating and electricity load Efficiency indicators, with the goal of maximizing the electricity substitution rate of the target park:

[0128]

[0129] Among them, according to the typical daily cooling, heating and electricity load curve in the park, the cooling, heating and electricity load required by the multi-energy complementary park can be obtained, such as the required cooling load L c , hot steam load L s , hot water load L h , electrical load L e At the same time, combined with the uncertainty of wind and solar power, the wind and solar power generation E is obtained according to the wind and solar power generation curve w.ex , E s.ex And the conversion of natural gas produced by abandoned wind and solar power generation Value (E w.ex +E s.ex )η P2G λ g .

[0130] The electricity purchased from the grid is E e , Electric energy consumed by electric refrigeration equipment E e.c , Electric energy consumed by electric heating equipment E e.h , Conversion of total natural gas supplied to the park Value E G As decision variables, the energy balance constraints, production capacity equipment constraints, energy storage device constraints and energy network constraints commonly used in existing technologies are used as constraints.

[0131] Combined with the improved electrical load of this embodiment Efficiency constraints:

[0132] η e.min ≤η e <1; where η e.minTo improve the electrical load Efficiency η e The minimum expected value.

[0133] Improved cooling load of this embodiment Efficiency constraints:

[0134] η c.min ≤η c <1; where η c.min To improve cooling load Efficiency η c The minimum expected value.

[0135] And, the heat load improved by this embodiment Efficiency constraints:

[0136] η h.min ≤η h <1; where η h.min To improve the heat load Efficiency η h The minimum expected value.

[0137] Then, the energy efficiency optimization problem of the target park can be solved to obtain a solution result, and the energy efficiency of the park can be optimized based on the solution result.

[0138] Accordingly, refer to Figure 2 , Figure 2 An optimization device for energy efficiency of a multi-energy complementary park provided by an embodiment of the present invention comprises an acquisition module 101, a model building module 102 and an optimization module 103; wherein,

[0139] The acquisition module 101 is used to acquire the input energy side data, energy conversion equipment data, and energy storage equipment data of the target park; wherein the input energy side data includes the electric energy purchased from the power grid and the total calorific value of the natural gas purchased by the park; the energy conversion equipment data includes the electric energy generated by the wind power generation device that can be directly consumed by the park, the electric energy generated by the solar power generation device that can be directly consumed by the park, the abandoned wind power generation generated by the wind power generation device, and the abandoned solar power generation generated by the solar power generation device; the energy storage equipment includes power storage equipment, heat storage equipment, and cold storage equipment, and the charging process of the energy storage equipment is used as a load;

[0140] The model building module 102 is used to build a multi-energy complementary park energy flow model of the target park according to the input energy side data, the energy conversion equipment data and the energy storage equipment data, and obtain the cooling, heating and electricity loads of the target park. Efficiency indicators;

[0141] The optimization module 103 is used to combine the cooling, heating and electricity loads according to the multi-energy complementary park energy flow model Efficiency index, with the goal of maximizing the electric energy substitution rate of the target park, solving the energy efficiency optimization problem of the target park, obtaining the solution result and optimizing the energy efficiency of the target park through the solution result.

[0142] As a preferred solution, the energy storage equipment data includes the working state of the electric storage equipment, the working state of the cold storage equipment, the working state of the heat storage equipment, the energy discharge efficiency of the electric storage equipment, the energy discharge efficiency of the cold storage equipment, the energy discharge efficiency of the heat storage equipment, the charging and discharging energy of the electric storage equipment, the charging and discharging energy of the cold storage equipment, the charging and discharging energy of the heat storage equipment, the electric energy quality coefficient, the hot water energy quality coefficient and the cold air energy quality coefficient; the energy conversion equipment data also includes the natural gas energy quality coefficient and the working efficiency of the equipment for converting electric energy into natural gas in the park;

[0143] The model building module 102 builds the multi-energy complementary park energy flow model of the target park, specifically:

[0144] E in =E e λ e +E w.e λ e +E s.e λ e +(E w.ex +E s.ex )η P2G λ g +E g λ g ;

[0145] R out =(1-θ e )R e λ e η e.R +(1-θ c )R c λ c η c.R +(1-θ h )R h λ h η h.R ;

[0146] Among them, E in The conversion of all energy input into the park Value, E e is the electricity purchased from the grid, E w.e The electric energy generated by the wind power generation device that can be directly consumed by the park, E s.e The electric energy generated by the solar power generation device that can be directly consumed by the park, E w.ex is the abandoned wind power generated by the wind power generation device, E s.ex E is the amount of abandoned solar power generated by the solar power generation device.g is the total calorific value of natural gas purchased from the park, η P2G is the efficiency of the equipment that converts electricity into natural gas, and its value is between 0 and 1. g , e , h , c are the energy quality coefficients of natural gas, electricity, hot water and air conditioning respectively, R out Indicates the conversion of the total energy released by the park's energy storage equipment, including cooling, heating and electricity Value, θ e ,θ c ,θ h are the working states of the electric storage device, cold storage device and heat storage device respectively. When the value is 1, it means that the energy storage device is working in the charging state, and when the value is 0, it means that the energy storage device is working in the discharging state. e , R c , R h are the charging and discharging energies of the electric storage device, cold storage device and heat storage device, respectively, e.R , η c.R , η h.R They are the efficiency of the energy release process of the electric storage device, cold storage device and heat storage device respectively, and their values ​​range from 0 to 1.

[0147] Compared with the prior art, the embodiments of the present invention have the following beneficial effects:

[0148] An embodiment of the present invention provides a method and device for optimizing the energy efficiency of a multi-energy complementary park, the method comprising: obtaining input energy side data, energy conversion equipment data, and energy storage equipment data of a target park; wherein the input energy side data comprises electric energy purchased from the power grid and the total calorific value of natural gas purchased from the park; the energy conversion equipment data comprises electric energy generated by wind power generation devices that can be directly consumed by the park, electric energy generated by solar power generation devices that can be directly consumed by the park, abandoned wind power generation generated by wind power generation devices, and abandoned solar power generation generated by solar power generation devices; the energy storage equipment comprises electric storage equipment, heat storage equipment, and cold storage equipment, and the charging process of the energy storage equipment is used as a load; based on the input energy side data, the energy conversion equipment data, and the energy storage equipment data, a multi-energy complementary park energy flow model of the target park is constructed, and the cold, heat, and electricity loads of the target park are obtained. Efficiency index; based on the energy flow model of the multi-energy complementary park, combined with the cooling, heating and electricity loads Efficiency index, with the goal of maximizing the electric energy substitution rate of the target park, solves the energy efficiency optimization problem of the target park, obtains the solution result and optimizes the energy efficiency of the target park through the solution result. Compared with the existing technology, the different sources of cold, hot and electric loads are specifically subdivided, different input energy side data, different energy conversion equipment data and different energy storage equipment data are considered, and the electric energy substitution rate index for evaluating the electric energy substitution level is proposed, which improves the accuracy of energy efficiency evaluation and optimization efficiency.

[0149] Furthermore, the embodiment of the present invention also adopts energy quality coefficient to describe the quality difference of different energies, and divides the heat of the gas unit in the multi-generation system into three temperature ranges, taking into account the cascade utilization, and further improving the evaluation accuracy.

[0150] Furthermore, the input energy that is not converted into load is eliminated from the total input energy of the park, and only the input energy that affects the load is retained. Different input energies are divided in detail, avoiding the existing technology of directly using total input energy for calculation, thereby obtaining more accurate energy efficiency.

[0151] The specific embodiments described above further illustrate the purpose, technical solutions and beneficial effects of the present invention. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the scope of protection of the present invention. It is particularly pointed out that for those skilled in the art, any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for optimizing energy efficiency of a multi-energy complementary park, characterized in that: include: Obtain the input energy side data, energy conversion equipment data, and energy storage equipment data of the target park; wherein the input energy side data includes the electric energy purchased from the power grid and the total calorific value of the natural gas purchased by the park; the energy conversion equipment data includes the electric energy generated by the wind power generation device that can be directly consumed by the park, the electric energy generated by the solar power generation device that can be directly consumed by the park, the abandoned wind power generation generated by the wind power generation device, and the abandoned solar power generation generated by the solar power generation device; the energy storage equipment includes power storage equipment, heat storage equipment, and cold storage equipment, and the charging process of the energy storage equipment is used as the load; According to the input energy side data, the energy conversion equipment data and the energy storage equipment data, a multi-energy complementary park energy flow model of the target park is constructed, and the cooling, heating and electricity loads of the target park are obtained. Efficiency indicators; According to the multi-energy complementary park energy flow model, combined with the cooling, heating and electricity load Efficiency index, taking the maximum electric energy substitution rate of the target park as the goal, solving the energy efficiency optimization problem of the target park, obtaining the solution result and optimizing the energy efficiency of the target park through the solution result; The energy storage equipment data include the working status of the electric storage equipment, the working status of the cold storage equipment, the working status of the heat storage equipment, the energy discharge efficiency of the electric storage equipment, the energy discharge efficiency of the cold storage equipment, the energy discharge efficiency of the heat storage equipment, the charging and discharging energy of the electric storage equipment, the charging and discharging energy of the cold storage equipment, the charging and discharging energy of the heat storage equipment, the electric energy quality coefficient, the hot water energy quality coefficient and the cold air energy quality coefficient; the energy conversion equipment data also include the natural gas energy quality coefficient and the working efficiency of the equipment for converting electric energy into natural gas in the park; The multi-energy complementary park energy flow model of the target park is constructed as follows: E in =E e l e +E w.e l e +E s.e l e +(E w.ex +E s.ex )or P2G l g +E g l g ; R out =(1-θ e )R e l e or e.R +(1-θ c )R c l c or c.R +(1-θ h )R h l h or h.R ; Among them, Ein is the conversion of all energy input into the park value, Ee is the electric energy purchased from the power grid, Ew.e is the electric energy generated by the wind power generation device that can be directly consumed by the park, and E s.e The electric energy generated by the solar power generation device that can be directly consumed by the park, E w.ex is the abandoned wind power generated by the wind power generation device, E s.ex E is the amount of abandoned solar power generated by the solar power generation device. g is the total calorific value of natural gas purchased from the park, η P2G is the efficiency of the equipment that converts electricity into natural gas, and its value is between 0 and 1. g , e , h , c are the energy quality coefficients of natural gas, electricity, hot water and air conditioning respectively, R out Indicates the conversion of the total energy released by the park's energy storage equipment, including cooling, heating and electricity Value, θ e ,θ c ,θ h are the working states of the electric storage device, cold storage device and heat storage device respectively. When the value is 1, it means that the energy storage device is working in the charging state, and when the value is 0, it means that the energy storage device is working in the discharging state. e , R c , R h are the charging and discharging energies of the electric storage device, cold storage device and heat storage device, respectively, e.R , η c.R , η h.R They are the efficiency of the energy release process of the electric storage device, cold storage device and heat storage device, respectively, and the value range is between 0 and 1; The step of obtaining the cooling, heating and electricity load of the target park Efficiency indicators, specifically: Obtain the ratio of the total power load of the park to the power supply energy in the input park energy, and the total cooling load conversion of the park Value and input park energy used for cooling energy conversion The ratio of the value and the total heat load of the park Value and input park energy used for heating energy conversion The ratio of values; The energy storage equipment data also includes the total electricity load of park users, the total cooling load of park users, the steam load of park users, the hot water load of park users and the proportion of natural gas supplied to gas units in the total natural gas in the park; the energy conversion equipment data also includes the working efficiency of absorption refrigerants, the power consumption of electric refrigeration equipment, the working efficiency of electric refrigeration equipment, the working efficiency of electric heating equipment, the heating efficiency of waste heat boilers, the power consumption of heat pumps and the working efficiency of heat pumps; The method for obtaining the ratio of the total power load of the park to the power supply energy in the input park energy is specifically as follows: The power generation efficiency of the high and medium temperature generators is obtained, and the ratio of the total power load of the park to the power supply energy in the input park energy is calculated according to the following formula: Among them, η e L is the ratio of the total power load of the park to the energy used for power supply in the energy input to the park. e is the total power load of users in the park, W e.in The conversion of all input energy used to generate electrical load in the park Values, specifically: W e.in =E e l e +E w.e l e +E s.e l e +(1-θ e )R e l e or e.R +g g E G a H or G1 +g g E G b b or G2 ; Among them, η G1 , η G2 Respectively represent the power generation efficiency of the high and medium temperature generators, and the value range is between 0 and 1. g It represents the proportion of natural gas supplied to gas-fired units in the total natural gas in the park, E G Converted to the total natural gas supplied to the park Values, specifically: E G =(E w.ex +E s.ex )or P2G l g +E g l g ; The total cooling load of the park is converted into Value and input park energy used for cooling energy conversion The specific method for obtaining the ratio of values ​​is as follows: Among them, η c Converted to the total cooling load of the park Value and input park energy used for cooling energy conversion The ratio of the values, L c represents the total cooling load of the park users, W c.in The conversion of all input energy used to generate cooling load in the park Values, specifically: W c.in =c g E G a M b r or r.c +E e.c l e or e.c +(1-θ c )R c l c or c.R ; Among them, η r.c is the working efficiency of the absorption chiller, ranging from 0 to 1, E e.c is the power consumption of the electric refrigeration equipment, η e.c is the working efficiency of the electric refrigeration equipment, ranging from 0 to 1, L c is the total cooling load of users in the park; The total heat load of the park is converted into Value and input park energy used for heating energy conversion The specific method for obtaining the ratio of values ​​is as follows: Among them, η h = Total heat load conversion for the park Value and input park energy used for heating energy conversion The ratio of the values, L s is the steam load of the park users, L h is the hot water load of the park users, W h.in The conversion of all input energy used to generate cooling load in the park Values, specifically: W h.in =E e.h l e or e.h +(1-c g )E G or g.h +g g E G a M b b or b +(c g E G a M b p +E p )or p +(1-θ h )R h l h or h.R ; Among them, E e.h is the electric energy consumed by the electric heating equipment, η e.h is the working efficiency of the electric heating equipment, E p represents the amount of electricity consumed by the heat pump, η p The working efficiency of the heat pump; Before solving the energy flow model of the multi-energy complementary park, the method further includes: calculating the electric energy substitution rate μ of the target park, specifically: W e =(E e l e +E w.e l e +E s.e l e +(1-θ e )R e or e.R )or e.T ; W c =E e.c l e or e.c or c.T ; W h =E e.h l e or e.h or h.T ; Among them, W e Indicates the electrical load in the park that is directly supplied by electric energy Value, W c Indicates the conversion of cooling load directly supplied by electric energy in the park Value, W h Indicates the conversion of heat load directly supplied by electricity in the park Value, η e.T is the transmission efficiency of electric energy to the user side, which is expressed by the ratio of the total electric load of the park to the energy used for power supply in the input park energy, and the value range is between 0 and 1. c.T The transmission efficiency of cold energy to the user side is converted by the total cooling load of the park. Value and input park energy used for cooling energy conversion The ratio of the values ​​is expressed in the range of 0 to 1, η h.T The transmission efficiency of heat energy to the user side is converted by the total cooling load of the park. Value and input park energy used for cooling energy conversion The ratio of the values ​​is expressed in the range of 0 to 1. H and α M The heat energy of high temperature section and medium temperature section is Energy ratio, β b , β p , β r They respectively represent the proportion of heat flowing into the waste heat boiler, heat pump and absorption chiller in the medium temperature section.

2. The method for optimizing energy efficiency of a multi-energy complementary park according to claim 1, characterized in that: The energy conversion equipment data also includes the high-temperature section energy quality coefficient, medium-temperature section energy quality coefficient and low-temperature section energy quality coefficient of the gas unit, as well as the heat in the medium-temperature section that flows into the waste heat boiler, heat pump, and absorption refrigerator; wherein the high-temperature section is greater than 1000 degrees Celsius, the medium-temperature section is 300 to 500 degrees Celsius, and the low-temperature section is less than 200 degrees Celsius; In obtaining the cooling, heating and electricity load of the target park Efficiency indicators previously included: Calculate the heat energy generated by the gas unit in the high, medium and low temperature ranges respectively The specific proportion is: Among them, α L For the heat energy of low temperature section Energy ratio, λ H , M , L They are the high temperature section energy quality coefficient, medium temperature section energy quality coefficient and low temperature section energy quality coefficient of the gas turbine unit respectively; Calculate the proportion of heat flowing into the waste heat boiler, heat pump and absorption chiller to the heat in the medium temperature section; Among them, Q b , Q p , Q r They are the heat in the medium temperature section that flows into the waste heat boiler, heat pump, and absorption chiller.

3. A method for optimizing energy efficiency of a multi-energy complementary park according to any one of claims 1 to 2, characterized in that: The multi-energy complementary park energy flow model is combined with the cooling, heating and electricity loads. Efficiency index, with the maximum electric energy substitution rate of the target park as the goal, solves the energy efficiency optimization problem of the target park, including: According to the multi-energy complementary park energy flow model, combined with the cooling, heating and electricity load The efficiency index is to maximize the electricity substitution rate of the target park, and is calculated based on the electricity purchased from the power grid, the electricity consumed by the electric refrigeration equipment, the electricity consumed by the electric heating equipment, and the total natural gas supplied to the park. The value is the decision variable, with energy balance constraints, capacity equipment constraints, energy storage device constraints and energy network constraints, and electric load Efficiency constraints, cooling load Efficiency Constraints and Heat Loads The efficiency constraint is used as a constraint condition to solve the energy efficiency optimization problem of the target park.

4. A method for optimizing energy efficiency of a multi-energy complementary park according to any one of claims 1 to 2, characterized in that: The energy conversion equipment includes photovoltaic power generation equipment, wind power generation equipment, electric energy conversion to natural gas equipment, electric refrigeration equipment, gas heating equipment, electric heat generation equipment, waste heat boilers, heat pumps, absorption refrigeration equipment, gas units and waste heat recovery converters.

5. A device for optimizing energy efficiency of a multi-energy complementary park, characterized in that: The optimization device adopts the method for optimizing the energy efficiency of a multi-energy complementary park as described in any one of claims 1 to 4; The optimization device includes an acquisition module, a model building module and an optimization module; wherein, The acquisition module is used to acquire the input energy side data, energy conversion equipment data, and energy storage equipment data of the target park; wherein the input energy side data includes the electric energy purchased from the power grid and the total calorific value of the natural gas purchased by the park; the energy conversion equipment data includes the electric energy generated by the wind power generation device that can be directly consumed by the park, the electric energy generated by the solar power generation device that can be directly consumed by the park, the abandoned wind power generation generated by the wind power generation device, and the abandoned solar power generation generated by the solar power generation device; the energy storage equipment includes power storage equipment, heat storage equipment, and cold storage equipment, and the charging process of the energy storage equipment is used as a load; The model building module is used to build a multi-energy complementary park energy flow model of the target park according to the input energy side data, the energy conversion equipment data and the energy storage equipment data, and obtain the cooling, heating and electricity loads of the target park. Efficiency indicators; The optimization module is used to combine the cooling, heating and electricity loads according to the multi-energy complementary park energy flow model Efficiency index, with the goal of maximizing the electric energy substitution rate of the target park, solving the energy efficiency optimization problem of the target park, obtaining the solution result and optimizing the energy efficiency of the target park through the solution result.

6. The device for optimizing energy efficiency of a multi-energy complementary park according to claim 5, characterized in that: The energy storage equipment data include the working status of the electric storage equipment, the working status of the cold storage equipment, the working status of the heat storage equipment, the energy discharge efficiency of the electric storage equipment, the energy discharge efficiency of the cold storage equipment, the energy discharge efficiency of the heat storage equipment, the charging and discharging energy of the electric storage equipment, the charging and discharging energy of the cold storage equipment, the charging and discharging energy of the heat storage equipment, the electric energy quality coefficient, the hot water energy quality coefficient and the cold air energy quality coefficient; the energy conversion equipment data also include the natural gas energy quality coefficient and the working efficiency of the equipment for converting electric energy into natural gas in the park; The model building module builds the multi-energy complementary park energy flow model of the target park, specifically: E in =E e l e +E w.e l e +E s.e l e +(E w.ex +E s.ex )or P2G l g +E g l g ; R out =(1-θ e )R e l e or e.R +(1-θ c )R c l c or c.R +(1-θ h )R h l h or h.R ; Among them, E in The conversion of all energy input into the park Value, E e is the electricity purchased from the grid, E w.e The electric energy generated by the wind power generation device that can be directly consumed by the park, E s.e The electric energy generated by the solar power generation device that can be directly consumed by the park, E w.ex is the abandoned wind power generated by the wind power generation device, E s.ex E is the amount of abandoned solar power generated by the solar power generation device. g is the total calorific value of natural gas purchased from the park, η P2G is the efficiency of the equipment that converts electricity into natural gas, and its value is between 0 and 1. g , e , h , c are the energy quality coefficients of natural gas, electricity, hot water and air conditioning respectively, R out Indicates the conversion of the total energy released by the park's energy storage equipment, including cooling, heating and electricity Value, θ e ,θ c ,θ h are the working states of the electric storage device, cold storage device and heat storage device respectively. When the value is 1, it means that the energy storage device is working in the charging state, and when the value is 0, it means that the energy storage device is working in the discharging state. e , R c , R h are the charging and discharging energies of the electric storage device, cold storage device and heat storage device, respectively, e.R , η c.R , η h.R They are the efficiency of the energy release process of the electric storage device, cold storage device and heat storage device respectively, and their values ​​range from 0 to 1.

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