A method for optimizing the configuration of integrated energy systems considering unified energy balance

Abstract

The present invention relates to the technical field of comprehensive energy optimization configuration, and specifically discloses a comprehensive energy system optimization configuration method considering unified energy balance, including: constructing flexible load and energy supply and consumption end equipment models, calculating the energy output and energy consumption of equipment in the comprehensive energy system; introducing flexible load response cost, equipment cost, electricity transaction fee and carbon tax to construct the objective function; introducing the universal conversion method of standard coal quantity to coordinate and calculate various forms of energy supply and consumption entities in the comprehensive energy, and constructing unified constraints and balance equations for various energy forms and media in the comprehensive energy system; solving the objective function based on genetic algorithms and constraints, outputting planning results, and realizing the optimization configuration of the comprehensive energy system. The method of the present invention solves the problem of difficulty in optimizing configuration caused by the diversity of energy forms in the comprehensive energy system.

Description

Technical Field

[0001] The present invention relates to the technical field of comprehensive energy optimization configuration, and in particular to a comprehensive energy system optimization configuration method taking into account energy unified balance. Background Art

[0002] With the advancement of science and technology and the increasingly serious energy crisis, the energy supply mode has gradually shifted from centralized to distributed, the energy supply has gradually shifted from single to diversified, the energy production and consumption have gradually shifted from separation to integration, and the focus of energy work has gradually shifted from the supply side to the demand side. In the new energy and power system, the traditional single energy structure model is no longer applicable. More and more countries have begun to explore the establishment of a multi-energy complementary comprehensive energy system through the coupling integration and complementary assistance of multiple heterogeneous energy sources.

[0003] At present, there have been many studies on the planning of integrated energy systems for localized distributed energy supply, but most planning models only take economic costs such as construction and operation as the only objective function, and perform single-objective optimization, failing to effectively integrate the influence of various factors such as carbon emissions; at the same time, the system models involved in the existing technology separate the cooling, heating and electricity loads for analysis, and the energy system is not comprehensive enough to achieve the optimal configuration of the integrated energy system. At present, the integrated energy system is a typical form of multi-energy complementarity on the user side, and the flexible load that can participate in energy regulation is an important application to realize the multi-energy complementary coupling relationship. The existing integrated energy research does not consider the application of flexible loads in system planning.

[0004] In summary, there is an urgent need for an optimal configuration method for a multi-energy complementary coupling integrated energy system that takes into account flexible loads to solve the problems in the existing technology. Summary of the invention

[0005] The purpose of the present invention is to provide a comprehensive energy system optimization configuration method considering energy unified balance, and the specific technical scheme is as follows:

[0006] A comprehensive energy system optimization configuration method considering unified energy balance, comprising:

[0007] Construct source equipment models and energy storage equipment models to calculate the energy output and energy consumption of equipment in the integrated energy system;

[0008] The objective function is constructed by introducing flexible load response cost, equipment cost, electricity trading fee and carbon tax;

[0009] The universal conversion method of standard coal quantity is introduced to comprehensively calculate the various forms of energy supply and use entities in the comprehensive energy system, and to construct unified constraints and balance equations for various energy forms and media in the comprehensive energy system;

[0010] The objective function is solved based on the genetic algorithm and the unified constraint conditions and balance equations, a planning result is output, and the optimal configuration of the integrated energy system is achieved based on the planning result.

[0011] Preferably, the source-end device model includes a photovoltaic power generation model, a wind power generation model, a biomass CHP model, a hydrogen fuel cell model, a solar thermal equipment model, a ground source heat pump model, a biomass boiler model, an electric refrigeration unit model and an absorption refrigeration unit model.

[0012] Preferably, the energy storage device model includes an electrical storage device model, a cold storage device model and a thermal storage device model.

[0013] Preferably, the equipment cost includes the initial investment cost of the equipment, the annual maintenance cost of the equipment and the annual operating cost of the system. The expression of the objective function is as follows:

[0014] ;

[0015] in, represents the annualized cost of the system; Indicates the initial investment cost of the equipment; Indicates the age of the equipment; Indicates the annual maintenance cost of the equipment; Indicates the annual operating cost of the system; represents the flexible load response cost; represents the electricity transaction fee; Represents carbon tax.

[0016] Preferably, the various costs in the objective function are calculated as follows:

[0017] The initial investment cost of the equipment is related to the unit capacity investment cost of the equipment and the capacity of the equipment configuration in the system. The calculation expression is as follows:

[0018] ;

[0019] in, Indicates Equipment configuration capacity; Indicates Unit price of each device;

[0020] The annual maintenance cost of the equipment is related to the manpower and material resources invested during operation, and the calculation expression is as follows:

[0021] ;

[0022] in, represents the depreciation factor;

[0023] The annual operating cost of the system is related to the cost of the consumed biomass natural gas, and the calculation expression is as follows:

[0024] ;

[0025] in, represents the price of biomass natural gas; Indicates annual gas consumption;

[0026] The flexible load response cost consists of the compensation costs of transferable loads and interruptible loads, and the calculation expression is as follows:

[0027] ;

[0028] in, express The amount of electrical load that can be transferred at any time; express The amount of heat load that can be transferred at any time; express The amount of cooling load that can be transferred at any time; It represents the unit power transfer compensation cost of the transferable load; express The amount of power load that can be interrupted at any time; express The heat load can be interrupted at any time; express The cooling load can be interrupted at any time; It represents the unit power interruption compensation cost of the interruptible load;

[0029] The calculation expression of electric energy transaction fee is as follows:

[0030] ;

[0031] in, Indicates the power that the system buys from the external power grid; Indicates the power sold by the system to the external power grid; Indicates the time-of-use electricity price for purchasing electricity; Indicates the time-of-use electricity price for selling electricity;

[0032] The calculation expression of carbon tax is as follows:

[0033] ;

[0034] in, represents the CO2 emissions per unit of production capacity of a natural gas plant; It represents the carbon dioxide emissions per unit of production capacity of traditional power plants; It represents the transmission efficiency of the power grid; Represents the carbon tax value.

[0035] Preferably, the unified constraints and balance equations include system energy balance constraints, seasonal typical day power balance constraints, energy consumption equipment constraints, energy storage equipment constraints and flexible load response constraints.

[0036] Preferably, the expression of the system energy balance constraint is as follows:

[0037] ;

[0038] in, represents wind power installed capacity; Indicates the local fan utilization hours; represents the photovoltaic installed capacity; Indicates the local photovoltaic utilization hours; Indicates the amount of electricity purchased from the external power grid; It indicates the coefficient of electricity equivalent to standard coal; It indicates the coefficient of biomass natural gas equivalent to standard coal; Indicates the system power demand; Indicates the sale of electricity to the external power grid; Represents the system cooling energy demand; Represents refrigeration system equivalent ; Represents the system thermal energy demand; Represents the heating system equivalent .

[0039] Preferably, the seasonal typical day power balance constraints include electric balance constraints, thermal balance constraints and cold balance constraints.

[0040] Preferably, the expression of the flexible load response constraint is as follows:

[0041] ;

[0042] ;

[0043] ;

[0044] ;

[0045] ;

[0046] ;

[0047] ;

[0048] ;

[0049] ;

[0050] in, Indicates the upper limit of transferable electrical load; represents the upper limit of transferable heat load; Indicates the upper limit of transferable cooling load; express The amount of power load that can be interrupted at any time; Indicates the upper limit of load that can be interrupted; express The heat load can be interrupted at any time; Indicates the upper limit of interruptible heat load; express The cooling load can be interrupted at any time; Indicates the upper limit of interruptible cooling load; express The number of times the power load can be interrupted at any time; Indicates the upper limit of the number of times the power load can be interrupted; express The number of times the heat load can be interrupted at any time; Indicates the upper limit of the number of times the heat load can be interrupted; express The number of times the cooling load can be interrupted at any time; Indicates the upper limit of the number of times the cooling load can be interrupted.

[0051] Preferably, the process of solving the objective function by the genetic algorithm is as follows:

[0052] 1) Initialize system parameters and input system parameters;

[0053] 2) Initialize the population , randomly generated Individual , and generate populations ;

[0054] 3) Call the system planning model for each individual;

[0055] 4) Calculate the objective function;

[0056] 5) Calculate individual fitness;

[0057] 6) For populations Perform genetic operations, selection, crossover, mutation, and generate a generation of subgroups ;

[0058] 7) Determine whether the iteration termination condition is met. If not, return to 3). If it is met, output the planning result.

[0059] The application of the technical solution of the present invention has the following beneficial effects:

[0060] (1) The method of the present invention introduces the flexible load response cost into the objective function, and comprehensively considers multiple energy sources in the objective function, solving the problem of comprehensive energy optimization configuration planning and design. In addition, the method of the present invention also converts different forms of energy into a unified standard coal quantity, constructs constraint conditions based on the unified standard coal quantity, and realizes the optimal configuration of the comprehensive energy system through a genetic algorithm, solving the problem of difficulty in optimizing configuration due to the large number of equipment and high complexity in the comprehensive energy system.

[0061] (2) The comprehensive energy in the method of the present invention includes renewable energy. Combined with the application of renewable energy in comprehensive energy configuration, it is analyzed from the perspective of renewable energy, thus solving the problem of renewable energy in optimizing comprehensive energy configuration.

[0062] (3) The present invention comprehensively considers energy input and energy demand (energy load) and adopts a bidirectional reversible planning algorithm. Different from the prior art, the present invention combines the system energy supply capacity and load-side characteristics to perform system energy supply regulation and flexible load bidirectional optimization configuration calculation.

[0063] (4) The method of the present invention comprehensively considers the energy supply end, the regulation end and the load end. On the energy supply end, a comprehensive analysis method is adopted to consider the comprehensive energy output including renewable energy. On the regulation end for energy regulation, the method of the present invention adopts a unified variable method to achieve unified regulation of comprehensive energy. For the load end, the method of the present invention adopts an overall dynamic balance method for calculation, and finally solves the problem of optimal configuration of the comprehensive energy system.

[0064] (5) The method of the present invention adopts a single-objective optimization algorithm to comprehensively improve the scientificity and practicality of system configuration, meet the needs of various engineering projects, and adapt to the requirements of various projects.

[0065] (6) The method of the present invention takes flexible load (adjustable load) as a key element of system balance and configuration, and adds it to the system balance adjustment means, thereby realizing the diversification and functional enhancement of the system energy storage adjustment system.

[0066] In addition to the above-described purposes, features and advantages, the present invention has other purposes, features and advantages. The present invention will be further described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0067] In order to more clearly illustrate the embodiments of the present invention or the technical solutions of the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0068] Figure 1 It is a flow chart of the steps of the integrated energy system optimization configuration method in the preferred embodiment of the present invention. DETAILED DESCRIPTION

[0069] In order to enable those skilled in the art to better understand the scheme of the present invention, the present invention is further described in detail below in conjunction with the accompanying drawings and specific implementation methods. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention. Example

[0070] like Figure 1 As shown, this embodiment discloses a comprehensive energy system optimization configuration method considering energy unified balance, including:

[0071] S1: Construct a source device model and an energy storage device model to calculate the energy output and energy consumption of the equipment in the integrated energy system. In this embodiment, the source device model and the energy storage device model can calculate the energy output and consumption through flexible loads, which is conducive to adjusting the energy distribution in the integrated energy system.

[0072] S2: Introduce flexible load response cost, equipment cost, electricity transaction fee and carbon tax to construct the objective function;

[0073] S3: Introduce the universal conversion method of standard coal quantity to coordinate the calculation of various forms of energy supply and use entities in the comprehensive energy system, and construct unified constraints and balance equations for various energy forms and media in the comprehensive energy system;

[0074] S4: Solving the objective function based on the genetic algorithm and the unified constraints and balance equations, outputting planning results, and realizing the optimal configuration of the integrated energy system based on the planning results.

[0075] Preferably, the source-end device model includes a photovoltaic power generation model, a wind power generation model, a biomass CHP model, a hydrogen fuel cell model, a solar thermal device model, a ground-source heat pump model, a biomass boiler model, an electric refrigeration unit model, and an absorption refrigeration unit model;

[0076] The output of photovoltaic units is mainly related to irradiance and temperature. The expression of the photovoltaic power generation model is as follows:

[0077] ;

[0078] in, for Unit output power at the moment; is the power derating factor; is the installed capacity; is the irradiance under standard conditions; for Irradiance at the time; is the power temperature coefficient; is the surface temperature of the photovoltaic unit under standard conditions; for The surface temperature of the photovoltaic unit at the moment.

[0079] The output power of the wind turbine is related to the wind speed. The expression of the wind power generation model is as follows:

[0080] ;

[0081] in, for Unit output power at the moment; The installed capacity of the unit; , They represent the cut-in wind speed and cut-out wind speed respectively; , The upper and lower bounds of the wind speed transition interval respectively; , represents the polynomial fitting parameters; for Wind speed at all times.

[0082] Biomass power generation is to generate electricity by pyrolysis, gasification and re-combustion of biomass fuel. The expression of the biomass CHP model is as follows:

[0083] ;

[0084] in, for The power generation of the biomass CHP unit at each moment; for Biomass fuel consumption at each moment; is the calorific value of biomass fuel; It is the total conversion efficiency from biomass energy to electrical energy in the biomass power generation system.

[0085] A hydrogen fuel cell uses surplus electricity to electrolyze water to produce hydrogen for power generation. The expression of the hydrogen fuel cell model is as follows:

[0086] ;

[0087] in, for The quality of hydrogen produced by electrolyzing water in the electrolyzer at any moment; for The electrical energy consumed by the electrolyzer at any moment; is the hydrogen production efficiency of the electrolyzer; is the lower heating value of hydrogen; for Fuel cell power generation at all times; The efficiency of fuel cell power generation; for The amount of hydrogen consumed by fuel cells to generate electricity at any given moment.

[0088] The expression of the photothermal device model is as follows:

[0089] ;

[0090] in, for The thermal output of the solar collector at all times; is the collector plate area; is the thermal efficiency of the collector, for Irradiance at the moment.

[0091] The ground source heat pump can convert low-grade geothermal energy into high-grade cooling and heating loads. The expression of the ground source heat pump model is as follows:

[0092] ;

[0093] in, , They are The heat and cold output of the ground source heat pump at all times; for The electrical power input by the ground source heat pump at any moment; , They are the heating efficiency coefficient and cooling efficiency coefficient of the ground source heat pump respectively; they are 0 or 1. It means that the ground source heat pump equipment cannot heat and cool at the same time.

[0094] The expression of the biomass boiler model is as follows:

[0095] ;

[0096] in, Provide heat output for boilers; Indicates the heat released by the combustion of biomass gas; Indicates boiler efficiency.

[0097] The expression of the electric refrigeration unit model is as follows:

[0098] ;

[0099] in, for The cooling output of the electric refrigerator at all times; for The electric refrigerator consumes electricity at all times; is the refrigeration performance coefficient of the electric refrigerator.

[0100] The expression of the absorption refrigeration unit model is as follows:

[0101] ;

[0102] in, for Absorption chiller cooling output at all times; for The absorption chiller inputs heat at all times; is the coefficient of performance of the absorption chiller.

[0103] Preferably, the energy storage device model includes an electrical storage device model, a cold storage device model and a thermal storage device model.

[0104] The expression of the power storage device model is as follows:

[0105] ;

[0106] in, , They are time, The battery's energy storage capacity at all times; is the self-discharge rate of the battery; , Respectively represent the charging efficiency and discharging efficiency of the battery; , Respectively The charging power and discharging power of the battery at all times; For the length of time.

[0107] The expression of the cold storage equipment model is as follows:

[0108] ;

[0109] in, for Refrigeration capacity of the refrigeration unit at any given moment; for Refrigerator power consumption at all times; is the refrigeration performance coefficient; , for , The ice storage tank contains cold water at all times; is the self-cooling rate of the ice storage tank; , They represent the cold storage efficiency and cold release efficiency of the ice storage tank respectively; , Respectively The cold storage capacity and cold release capacity of the ice storage tank at all times; for The cooling amount obtained by melting ice at any time; for The power consumption of melting ice at all times; is the ice melting refrigeration performance coefficient.

[0110] The expression of the thermal storage device model is as follows:

[0111] ;

[0112] in, for The heat storage device stores heat at all times; and are the energy efficiency coefficients of thermal energy storage charging and discharging, respectively; is the number of thermal energy storage devices; and They are the upper and lower limits of the heat storage capacity of a single group of thermal energy storage devices; and are the maximum charging and discharging power of the thermal energy storage device respectively.

[0113] Preferably, the equipment cost includes the initial investment cost of the equipment, the annual maintenance cost of the equipment and the annual operating cost of the system. Compared with the prior art, this embodiment comprehensively considers the two factors of economy and environmental protection, constructs the annualized cost minimum objective function considering the carbon tax, takes the system's need to meet the energy balance as the overall constraint, takes the system's typical daily load power output requirements and the operating power and configuration quantity of each energy supply equipment and energy storage equipment as the local constraints, and introduces the flexible load response cost. The expression of the objective function is as follows:

[0114] ;

[0115] in, represents the annualized cost of the system; Indicates the initial investment cost of the equipment; Indicates the age of the equipment; represents the flexible load response cost; Indicates the annual operating cost of the system; represents the flexible load response cost; represents the electricity transaction fee; Represents carbon tax.

[0116] Preferably, the various costs in the objective function are calculated as follows:

[0117] The initial investment cost of the equipment is related to the unit capacity investment cost of the equipment and the capacity of the equipment configuration in the system. The calculation expression is as follows:

[0118] ;

[0119] in, Indicates Equipment configuration capacity; Indicates Unit price of each device;

[0120] The annual maintenance cost of the equipment is related to the manpower and material resources invested during operation, and the calculation expression is as follows:

[0121] ;

[0122] in, represents the depreciation factor;

[0123] The annual operating cost of the system is related to the cost of the consumed biomass natural gas, and the calculation expression is as follows:

[0124] ;

[0125] in, represents the price of biomass natural gas; Indicates annual gas consumption;

[0126] The flexible load response cost consists of the compensation costs of transferable loads and interruptible loads, and the calculation expression is as follows:

[0127] ;

[0128] in, express The amount of electrical load that can be transferred at any time; express The amount of heat load that can be transferred at any time; express The amount of cooling load that can be transferred at any time; It represents the unit power transfer compensation cost of the transferable load; express The amount of power load that can be interrupted at any time; express The heat load can be interrupted at any time; express The cooling load can be interrupted at any time; It represents the unit power interruption compensation cost of the interruptible load;

[0129] The calculation expression of electric energy transaction fee is as follows:

[0130] ;

[0131] in, Indicates the power that the system buys from the external power grid; Indicates the power sold by the system to the external power grid; Indicates the time-of-use electricity price for purchasing electricity; Indicates the time-of-use electricity price for selling electricity;

[0132] The calculation expression of carbon tax is as follows:

[0133] ;

[0134] in, represents the CO2 emissions per unit of production capacity of a natural gas plant; It represents the carbon dioxide emissions per unit of production capacity of traditional power plants; It represents the transmission efficiency of the power grid; Represents the carbon tax value.

[0135] Preferably, the unified constraints and balance equations include system energy balance constraints, seasonal typical day power balance constraints, energy consumption equipment constraints, energy storage equipment constraints and flexible load response constraints.

[0136] Preferably, the system energy balance constraint disclosed in this embodiment should have an annual input that is greater than or equal to the total annual demand for various energies such as cooling, heating, and electricity in the system, so as to ensure the safety of the planning results. At the same time, different forms of energy such as electrical energy, thermal energy, and cooling energy are converted into a unified standard coal amount to achieve a unified energy measurement. This embodiment also uses a universal standard coal amount conversion method to represent different forms of energy supply and use entities. The expression of the system energy balance constraint is as follows:

[0137] ;

[0138] in, represents wind power installed capacity; Indicates the local fan utilization hours; represents the photovoltaic installed capacity; Indicates the local photovoltaic utilization hours; Indicates the amount of electricity purchased from the external power grid; It indicates the coefficient of electricity equivalent to standard coal; It indicates the coefficient of biomass natural gas equivalent to standard coal; Indicates the system power demand; Indicates the sale of electricity to the external power grid; Represents the system cooling energy demand; Represents refrigeration system equivalent ; Represents the system thermal energy demand; Represents the heating system equivalent .

[0139] Preferably, the seasonal typical day power balance constraints include electric balance constraints, thermal balance constraints and cold balance constraints.

[0140] The expression of the electrical balance constraint is as follows:

[0141] ;

[0142] in, represent The amount of electrical load that can be transferred at any time; express The amount of electrical load that can be interrupted at any time; For the user side Electric power at the moment.

[0143] The expression of thermal equilibrium constraint is as follows:

[0144] ;

[0145] in, represent The amount of heat load that can be transferred at any time; represent The amount of heat load that can be interrupted at any time; For the user side Thermal power at all times.

[0146] The expression of the cold equilibrium constraint is as follows:

[0147] ;

[0148] in, represent The amount of cooling load that can be transferred at any time; represent The amount of cooling load that can be interrupted at any time, For the user side Cool power at all times.

[0149] Due to the limitation of the site, the number of devices is limited. At the same time, the output power of a single device is limited by the nominal power of the device. The expression of the device constraint in this embodiment is as follows:

[0150] ;

[0151] in, Indicates Number of devices; Indicates The maximum number of devices available; Indicates the output power of the device; Indicates the nominal output power of the device.

[0152] Energy storage, as a link between subsystems in a multi-energy complementary integrated energy system, provides a solution for effectively balancing the volatility of renewable energy and the uncertainty of user loads. At the same time, the life of energy storage equipment is affected by the energy release depth, so the energy storage state of the energy storage equipment needs to be constrained. The expression of the energy storage equipment constraint is as follows:

[0153] ;

[0154] in, Indicates the minimum energy storage state of the energy storage device; Indicates that the energy storage device is Energy storage status at all times; Indicates the maximum energy storage state of the energy storage device.

[0155] Preferably, the expression of the flexible load response constraint is as follows:

[0156] ;

[0157] ;

[0158] ;

[0159] ;

[0160] ;

[0161] ;

[0162] ;

[0163] ;

[0164] ;

[0165] in, Indicates the upper limit of transferable electrical load; represents the upper limit of transferable heat load; Indicates the upper limit of transferable cooling load; express The amount of power load that can be interrupted at any time; Indicates the upper limit of load that can be interrupted; express The heat load can be interrupted at any time; Indicates the upper limit of interruptible heat load; express The cooling load can be interrupted at any time; Indicates the upper limit of interruptible cooling load; express The number of times the power load can be interrupted at any time; Indicates the upper limit of the number of times the power load can be interrupted; express The number of times the heat load can be interrupted at any time; Indicates the upper limit of the number of times the heat load can be interrupted; express The number of times the cooling load can be interrupted at any time; Indicates the upper limit of the number of times the cooling load can be interrupted.

[0166] Preferably, the process of solving the objective function by the genetic algorithm is as follows:

[0167] 1) System parameter initialization, input system parameters, including system equipment technical and economic parameters, project resource parameters and load conditions;

[0168] 2) Initialize the population , randomly generated Individual , and generate populations ;

[0169] 3) Call the genetic algorithm for each individual;

[0170] 4) Calculate the objective function;

[0171] 5) Calculate individual fitness;

[0172] 6) For populations Perform genetic operations, selection, crossover, mutation, and generate a generation of subgroups ;

[0173] 7) Determine whether the iteration termination condition is met, that is, the individual fitness is minimum. If not, return to 3) and if it is met, output the planning result.

[0174] The simulation experiment was carried out using the method of this embodiment, and the output planning results are shown in Table 1:

[0175] Table 1 Planning results

[0176]

[0177] Compared with the prior art, this embodiment solves the problem of optimizing the configuration of the integrated energy system based on the characteristics of the integrated energy system and combined with the flexible load response cost. The application of the integrated energy system optimization configuration method in this embodiment can provide a high-quality energy configuration optimization solution for the integrated energy system. In addition, in the process of constructing the constraint conditions, this embodiment converts different forms of energy in the integrated energy system into a unified standard coal amount, and then constructs the constraint conditions, so that the planning results output by this embodiment can achieve cost reduction and efficiency improvement of the integrated energy system.

[0178] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A method for optimizing the configuration of an integrated energy system considering unified energy balance, characterized in that: include: Construct source equipment models and energy storage equipment models to calculate the energy output and energy consumption of equipment in the integrated energy system; The objective function is constructed by introducing flexible load response cost, equipment cost, electricity trading fee and carbon tax; The universal conversion method of standard coal quantity is introduced to comprehensively calculate the various forms of energy supply and use entities in the comprehensive energy system, and to construct unified constraints and balance equations for various energy forms and media in the comprehensive energy system; Solving the objective function based on the genetic algorithm and the unified constraint conditions and the balance equation, outputting the planning result, and realizing the optimal configuration of the integrated energy system based on the planning result; The unified constraints and balance equations include system energy balance constraints, seasonal typical day power balance constraints, energy consumption equipment constraints, energy storage equipment constraints and flexible load response constraints; The expression of the system energy balance constraint is as follows: ； in, represents wind power installed capacity; Indicates the local fan utilization hours; represents the photovoltaic installed capacity; Indicates the local photovoltaic utilization hours; Indicates the amount of electricity purchased from the external power grid; It indicates the coefficient of electricity equivalent to standard coal; It indicates the coefficient of biomass natural gas equivalent to standard coal; Indicates the system power demand; Indicates the sale of electricity to the external power grid; Represents the system cooling energy demand; Represents refrigeration system equivalent ; Represents the system thermal energy demand; Represents heating system equivalent ; Indicates annual gas consumption.

2. The comprehensive energy system optimization configuration method according to claim 1, characterized in that: The source-end equipment models include photovoltaic power generation models, wind power generation models, biomass CHP models, hydrogen fuel cell models, photothermal equipment models, ground-source heat pump models, biomass boiler models, electric refrigeration unit models and absorption refrigeration unit models.

3. The method for optimizing the configuration of an integrated energy system according to claim 1, characterized in that: The energy storage device model includes an electric storage device model, a cold storage device model and a heat storage device model.

4. The method for optimizing the configuration of an integrated energy system according to claim 1, characterized in that: The equipment cost includes the initial investment cost of the equipment, the annual maintenance cost of the equipment and the annual operation cost of the system. The expression of the objective function is as follows: ； in, represents the annualized cost of the system; Indicates the initial investment cost of the equipment; Indicates the age of the equipment; Indicates the annual maintenance cost of the equipment; Indicates the annual operating cost of the system; represents the flexible load response cost; represents the electricity transaction fee; Represents carbon tax.

5. The comprehensive energy system optimization configuration method according to claim 4, characterized in that: The calculation method of various costs in the objective function is as follows: The initial investment cost of the equipment is related to the unit capacity investment cost of the equipment and the capacity of the equipment configuration in the system. The calculation expression is as follows: ； in, Indicates Equipment configuration capacity; Indicates Unit price of each device; The annual maintenance cost of the equipment is related to the manpower and material resources invested during operation, and the calculation expression is as follows: ； in, represents the depreciation factor; The annual operating cost of the system is related to the cost of the consumed biomass natural gas, and the calculation expression is as follows: ； in, represents the price of biomass natural gas; Indicates annual gas consumption; The flexible load response cost consists of the compensation costs of transferable loads and interruptible loads, and the calculation expression is as follows: ； in, express The amount of electrical load that can be transferred at any time; express The amount of heat load that can be transferred at any time; express The amount of cooling load that can be transferred at any time; It represents the unit power transfer compensation cost of the transferable load; express The amount of power load that can be interrupted at any time; express The heat load can be interrupted at any time; express The cooling load can be interrupted at any time; It represents the unit power interruption compensation cost of the interruptible load; The calculation expression of electric energy transaction fee is as follows: ； in, Indicates the power that the system buys from the external power grid; Indicates the power sold by the system to the external power grid; Indicates the time-of-use electricity price for purchasing electricity; Indicates the time-of-use electricity price for selling electricity; The calculation expression of carbon tax is as follows: ； in, represents the CO2 emissions per unit of production capacity of a natural gas plant; It represents the carbon dioxide emissions per unit of production capacity of traditional power plants; It represents the transmission efficiency of the power grid; Represents the carbon tax value.

6. The method for optimizing the configuration of an integrated energy system according to claim 1, characterized in that: The seasonal typical day power balance constraints include electric balance constraints, thermal balance constraints and cold balance constraints.

7. The method for optimizing the configuration of an integrated energy system according to claim 1, characterized in that: The expression of the flexible load response constraint is as follows: ； ； ； ； ； ； ； ； ； in, express The amount of electrical load that can be transferred at any time; express The amount of heat load that can be transferred at any time; express The amount of cooling load that can be transferred at any time; Indicates the upper limit of transferable electrical load; represents the upper limit of transferable heat load; Indicates the upper limit of transferable cooling load; express The amount of power load that can be interrupted at any time; Indicates the upper limit of the load that can be interrupted express The heat load can be interrupted at any time; Indicates the upper limit of interruptible heat load; express The cooling load can be interrupted at any time; Indicates the upper limit of interruptible cooling load; express The number of times the power load can be interrupted at any time; Indicates the upper limit of the number of times the power load can be interrupted; express The number of times the heat load can be interrupted at any time; Indicates the upper limit of the number of times the heat load can be interrupted; express The number of times the cooling load can be interrupted at any time; Indicates the upper limit of the number of times the cooling load can be interrupted.

8. The method for optimizing the configuration of an integrated energy system according to claim 1, characterized in that: The process of solving the objective function by the genetic algorithm is as follows: 1) Initialize system parameters and input system parameters; 2) Initialize the population , randomly generated Individual , and generate populations ; 3) Call the system planning model for each individual; 4) Calculate the objective function; 5) Calculate individual fitness; 6) For populations Perform genetic operations, selection, crossover, mutation, and generate a generation of subgroups ; 7) Determine whether the iteration termination condition is met. If not, return to 3). If it is met, output the planning result.

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