Method for setting up integrated energy system and integrated energy system

Abstract

This application provides a method for setting up an integrated energy system and the integrated energy system itself. The method includes: constructing an operational characteristic model, which includes the functional relationship between the energy storage, energy consumption, and operating cost of the integrated energy system; obtaining an optimized setup strategy for the integrated energy system based on the operational characteristic model and optimization objectives, whereby the optimization objectives include minimizing the operating cost per unit of energy storage and the operating cost per unit of energy consumption; and setting up the integrated energy system according to the setup strategy. By constructing an operational characteristic model for the integrated energy system, specific setup strategies for minimizing the operating cost per unit of energy storage and the operating cost per unit of energy consumption are obtained, thereby reducing errors during the setup phase and actual operation, enabling the integrated energy system to meet energy consumption requirements while reducing setup costs.

Description

Technical Field

[0001] This application relates to the field of energy system optimization, and in particular to a method for setting up an integrated energy system and an integrated energy system. Background Technology

[0002] Integrated energy systems, through the synergistic complementarity of multiple energy flows such as electricity, heat, cooling, and gas, are widely recognized as an effective way to improve energy utilization efficiency and promote the consumption of renewable energy. Among them, coupling components such as combined heat and power (CHP) and electric boilers deeply integrate the power system and the thermal system, forming an integrated electricity-heat energy system, which has become a key path to resolve the contradiction between energy supply and demand and improve system flexibility and absorption capacity.

[0003] However, the existing capacity setting methods for integrated electric-thermal energy systems have resulted in configurations that deviate from actual operational requirements. They fail to fully tap the enormous potential of long-term energy storage in addressing intraday and interday fluctuations in renewable energy. Furthermore, system models involving long-term energy storage are high-dimensional and complex to solve, which restricts their practical engineering applications. Summary of the Invention

[0004] This application provides a method for setting up an integrated energy system and an integrated energy system that reduces configuration result errors.

[0005] This application provides a method for setting up an integrated energy system, the method comprising: Construct an operational characteristic model, which includes the functional relationship between the energy storage, energy consumption, and operating costs of the integrated energy system; Based on the operating characteristic model and optimization objectives, an optimized integrated energy system setup strategy is obtained. The optimization objectives include minimizing the operating cost per unit of energy storage and minimizing the operating cost per unit of energy consumption of the integrated energy system. The integrated energy system is configured according to the aforementioned configuration strategy.

[0006] Optionally, the construction of the runtime characteristic model includes: Construct a physical model of the energy storage of the integrated energy system. Obtain the correction parameters of the energy storage physical model, the correction parameters including the heat loss parameters of the energy storage physical model; Based on the energy storage physical model and the correction parameters, the operating characteristic model is constructed.

[0007] Optionally, obtaining the correction parameters of the energy storage physical model includes: Construct a long short-term neural network model for the energy storage physical model regarding ambient temperature and thermal storage temperature; the input of the long short-term neural network model is historical ambient temperature, thermal storage temperature and time series, and the output of the long short-term neural network is to minimize the error between the predicted value and the actual value of thermal storage loss of the physical model within a certain period.

[0008] Optionally, the construction of the runtime characteristic model includes: Obtain the operating cost of the integrated energy system, which includes investment cost, operation and maintenance cost, and residual value.

[0009] Optionally, obtaining the operating cost of the integrated energy system includes: The investment cost is calculated by multiplying the unit capacity investment cost of the installed equipment of the integrated energy system by the investment capacity and the installation cost of the integrated energy system. The operation and maintenance cost is calculated based on the system life, discount rate, annual operating and maintenance cost per unit capacity of the equipment, electricity consumption, gas consumption, electricity purchase price, and gas purchase price of the integrated energy system. The residual value is calculated based on the annual depreciation rate of the equipment in the integrated energy system.

[0010] Optionally, obtaining the optimized integrated energy system setup strategy based on the operating characteristic model and optimization objective includes: The energy storage and energy consumption of the integrated energy system are simulated at multiple time scales, including multi-day time scale, single-day time scale, and hourly time scale.

[0011] Optionally, the simulation of the energy storage and consumption of the integrated energy system at multiple time scales includes: The heat storage capacity of the integrated energy system on a multi-day timescale is controlled between the upper limit and the lower limit of the integrated energy system's heat storage capacity. The heat storage of the integrated energy system at the beginning of a multi-day timescale is equal to the heat storage at the end of the multi-day timescale.

[0012] Optionally, the simulation of the energy storage and consumption of the integrated energy system at multiple time scales includes: The amount of energy stored in the integrated energy system on a daily time scale is controlled to be between the upper limit and the lower limit of the integrated energy system's energy storage capacity. The energy storage capacity of the integrated energy system at the beginning of a single day is equal to the energy storage capacity at the end of the single day.

[0013] Optionally, the simulation of the energy storage and consumption of the integrated energy system at multiple time scales includes: The power generation of the integrated energy system is controlled to be equal to the power consumption of the integrated energy system. The power generation includes wind power generation, photovoltaic power generation, grid power purchase and the discharge power of the integrated energy system. The power consumption includes the electrical load of the integrated energy system, the power consumption of the boiler and the charging power of the integrated energy system. The heat storage capacity of the integrated energy system is controlled to be equal to the heat consumption of the integrated energy system. The heat storage capacity includes the heat production power of the gas boiler, the heat production power of the electric boiler, and the heat release power of the heat storage system. The heat consumption includes the heat charging power, heat loss power, and heat load power of the integrated energy system.

[0014] Optionally, the simulation of the energy storage and consumption of the integrated energy system at multiple time scales includes: The energy storage and consumption of the integrated energy system are extracted on a typical day at a multi-day timescale. By coupling the ramp-up restrictions, start-stop restrictions, and multi-day energy storage state transitions of the typical day with its adjacent days, the energy storage and energy consumption of the integrated energy system are simulated.

[0015] Secondly, this application also provides an integrated energy system, which is configured according to the integrated energy system configuration method described in the first aspect.

[0016] By constructing an operational characteristic model for integrated energy systems, the energy storage, energy consumption, and operating costs of these systems are simulated. Through this simulation, specific configuration strategies for minimizing the operating costs per unit of energy storage and per unit of energy consumption are derived, thereby reducing errors during the configuration phase and actual operation of the integrated energy system. Using this configuration method, the energy production volume of the energy production layer, the energy conversion volume of the energy conversion layer, and the energy storage volume of the energy storage layer are planned to ensure that the integrated energy system meets energy consumption requirements while minimizing its configuration costs. Attached Figure Description

[0017] The accompanying drawings, which are incorporated in and form a part of this specification, illustrate embodiments consistent with this disclosure and, together with the description, serve to explain the principles of this disclosure.

[0018] Figure 1 The diagram shown is a flowchart of one embodiment of the integrated energy system setup method of this application.

[0019] Figure 2 As shown Figure 1The diagram shows a detailed flowchart of the setup method for the integrated energy system.

[0020] Figure 3 As shown Figure 1 The diagram shows a detailed flowchart of the setup method for the integrated energy system.

[0021] Figure 4 As shown Figure 1 The diagram shows a detailed flowchart of the setup method for the integrated energy system.

[0022] Figure 5 As shown Figure 1 The diagram shows a detailed flowchart of the setup method for the integrated energy system.

[0023] Figure 6 As shown Figure 1 The diagram shows a detailed flowchart of the setup method for the integrated energy system.

[0024] Figure 7 As shown Figure 1 The diagram shows a detailed flowchart of the setup method for the integrated energy system.

[0025] Figure 8 As shown Figure 1 The diagram shows the setup method for the integrated energy system. Detailed Implementation

[0026] The technical solutions in the embodiments (or "implementations") of this application will be clearly and completely described herein with reference to the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements.

[0027] If the embodiments of this application contain terms relating to directional indications or positional relationships (such as up, down, left, right, front, back, inside, outside, top, bottom, center, vertical, horizontal, longitudinal, transverse, length, width, counterclockwise, clockwise, axial, radial, circumferential, etc.), such terms are only used to explain the relative positional relationships and movement of the components in a specific posture (as shown in the attached figures); if the specific posture changes, the directional indications or positional relationships will also change accordingly. Furthermore, the terms "first" and "second" used in the embodiments of this application are only for descriptive convenience and should not be construed as indicating or implying relative importance.

[0028] This application provides a method for setting up an integrated energy system and the integrated energy system itself. The method for setting up the integrated energy system and the integrated energy system of this application will be described in detail below with reference to the accompanying drawings. Unless otherwise specified, the features in the following embodiments and implementations can be combined with each other.

[0029] This application provides an integrated energy system, comprising an energy production layer, an energy conversion layer, an energy storage layer, an energy load layer, and an interaction layer. The energy production layer includes photovoltaic power generation and wind power generation equipment for outputting renewable electricity; the energy conversion layer includes gas-fired boilers and electric boilers for converting various energy sources; the energy storage layer includes long-term thermal storage and short-term electrical storage equipment, with thermal storage being the source of the long-term energy storage characteristics in the integrated electric-thermal energy system; the load layer includes electrical loads and thermal loads for consuming electricity and heat, representing end-user energy demand; and the interaction layer includes power exchange with the external power grid and gas purchase from the external gas grid.

[0030] The integrated energy system is configured according to the integrated energy system setup method. See also Figure 1 As shown, the setup method includes steps S10, S20 and S30.

[0031] In step S10, an operational characteristic model is constructed. The operational characteristic model includes the functional relationship between the energy storage, energy consumption, and operating costs of the integrated energy system.

[0032] In step S20, the optimized setup strategy for the integrated energy system is obtained based on the operating characteristic model and the optimization objectives. The optimization objectives include minimizing the operating cost per unit of energy storage and the operating cost per unit of energy consumption.

[0033] In step S30, the integrated energy system is configured according to the configuration strategy.

[0034] By constructing an operational characteristic model for integrated energy systems, the energy storage, energy consumption, and operating costs of these systems are simulated. Through this simulation, specific configuration strategies for minimizing the operating costs per unit of energy storage and per unit of energy consumption are derived, thereby reducing errors during the configuration phase and actual operation of the integrated energy system. Using this configuration method, the energy production volume of the energy production layer, the energy conversion volume of the energy conversion layer, and the energy storage volume of the energy storage layer are planned to ensure that the integrated energy system meets energy consumption requirements while minimizing its configuration costs.

[0035] In an optional embodiment, see Figure 2 As shown, step S10 involves constructing a runtime characteristic model, which includes steps S11, S12, and S13.

[0036] In step S11, a physical model of the energy storage system for the integrated energy system is constructed. Based on the laws of thermodynamics, the energy balance equation for the thermal storage in the physical model can be expressed as follows: (1) In the formula: and These represent the heat storage capacity of the energy storage layer in time period t+1 and time period t, respectively (in kWh). The unit of measurement is the thermal power of the energy storage layer during time period t (in kW). The unit represents the energy storage layer's charging and releasing power (in kW) during time period t. This indicates the thermal efficiency of the energy storage layer. These represent the heat release efficiency of the energy storage layer; Let t be the heat loss power of the energy storage layer during time period t. It is affected by factors such as ambient temperature, heat storage temperature, and time, and is difficult to characterize analytically through mathematical models.

[0037] In step S12, the correction parameters of the energy storage physical model are obtained. These correction parameters include the heat loss parameters of the energy storage physical model.

[0038] In step S13, an operational effect model is constructed based on the energy storage physical model and the correction parameters.

[0039] Thus, by constructing a physical model of the energy storage system for the integrated energy system and obtaining correction parameters for the model, the heat loss of the model is corrected, reducing the error between the model and the actual integrated energy system. This reduces the error between the operating characteristic model calculated using the aforementioned integrated energy system setup method and the actual integrated energy system. In an optional embodiment, step S12, obtaining the correction parameters of the energy storage physical model, includes step S121.

[0040] In step S121, a long short-term neural network model is constructed for the energy storage physical model regarding ambient temperature and thermal storage temperature. The inputs to the long short-term neural network model are historical ambient temperature, thermal storage temperature, and time series data. The output of the long short-term neural network is to minimize the error between the predicted and actual values ​​of thermal storage loss in the physical model within a certain time period.

[0041] (2) in: This represents a long short-term neural network model. This represents the ambient temperature during time period t. This indicates the heat storage temperature during time period t.

[0042] Specifically, the error between the predicted and actual values ​​can be represented by the mean squared error, as follows: (3) in: The number of training samples, This represents the predicted value of thermal storage loss over time period t. This represents the actual value of heat storage loss during time period t.

[0043] Thus, the neural network model facilitates accurate calculation of heat loss in the energy storage physical model, thereby reducing errors in the setup and actual operation of the integrated energy system. Through this setup method, the energy production capacity of the energy production layer, the energy conversion capacity of the energy conversion layer, and the energy storage capacity of the energy storage layer are planned, enabling the integrated energy system to meet energy consumption requirements while minimizing setup costs.

[0044] After minimizing the error between the predicted and actual values ​​of thermal storage loss in the physical model over a certain period, the output of the long short-term neural network is substituted into the energy balance equation of the thermal storage physical model to obtain the following result: (4) In an optional embodiment, step S10, constructing the runtime characteristic model, includes step S14.

[0045] In step S14, the operating cost of the integrated energy system is obtained. The operating cost includes investment cost, operation and maintenance cost, and residual value.

[0046] In this way, by comprehensively calculating investment costs, operation and maintenance costs, and residual value, the costs generated by the integrated energy system at each stage are taken into account, reducing the complexity of cost calculation for integrated energy equipment. This makes the functional relationship between energy storage, energy consumption, and operating costs of the integrated energy system more accurate, and makes the optimized integrated energy system configuration strategy obtained through the operating characteristic model more in line with the optimization objectives.

[0047] In an optional embodiment, see Figure 3 As shown, step S14 involves obtaining the operating cost of the integrated energy system. The operating cost includes investment cost, operation and maintenance cost, and residual value, and includes steps S141, S142, and S143.

[0048] In step S141, the investment cost is calculated by multiplying the unit capacity investment cost of the installed equipment in the integrated energy system by the investment capacity and then by the installation cost of the integrated energy system. The investment cost is the sum of the initial investment and installation costs of each piece of equipment in the integrated energy system, expressed as follows: (11) in, This refers to a collection of equipment to be installed, including wind power generation, photovoltaic power generation, electric energy storage, electric boilers, gas boilers, thermal storage, and other equipment. This represents the unit capacity investment cost of equipment k. This represents the unit capacity investment capacity of equipment k. This represents the installation cost of device k.

[0049] In step S142, the operation and maintenance cost is calculated based on the integrated energy system's lifespan, discount rate, annual operating and maintenance cost per unit capacity of equipment, electricity consumption, gas consumption, electricity purchase price, and gas purchase price. The operation and maintenance cost is the sum of the present values ​​of the operation and maintenance costs over a year, expressed as follows: (12) Where Y is the system lifetime and r is the discount rate; This represents the annual operating and maintenance cost per unit capacity of device k. This represents the system's power consumption in year y. This represents the gas consumption of the system in year y. Indicates the electricity purchase price. This indicates the gas purchase price.

[0050] In step S143, the residual value is calculated based on the annual depreciation rate of the equipment in the integrated energy system. The residual value is the remaining value of the equipment in the integrated energy system at the end of its useful life, expressed as follows: (13) in, This represents the annual depreciation rate of equipment k.

[0051] By using the above-mentioned setup method, in the optimization process of minimizing the operating cost per unit of energy storage and the operating cost per unit of energy consumption of the integrated energy system, it is possible to calculate the setup method for minimizing the integrated energy system's cost over its entire life cycle and the setup method for minimizing the operating cost of the integrated energy system at multiple time scales. By comprehensively calculating investment costs, operation and maintenance costs, and residual value, and by developing a compact panoramic time series to process the original panoramic time series on the annual time scale, the complexity of cost calculation for integrated energy equipment is reduced.

[0052] In an optional embodiment, step S20, based on the operating characteristic model and optimization objective, obtains the optimized integrated energy system setup strategy, including step S21.

[0053] In step S21, the energy storage and energy consumption of the integrated energy system are simulated at multiple time scales, including multi-day time scale, single-day time scale, and hourly time scale.

[0054] In this way, the integrated energy system is not limited to a single time scale during the setup phase, and can coordinate the planning and operation of regulation capabilities across multiple time scales, fully tapping the potential of renewable energy in the integrated energy system on both single-day and multi-day time scales.

[0055] In an optional embodiment, see Figure 4 As shown, step S21 simulates the energy storage and energy consumption of the integrated energy system at multiple time scales, including steps S211 and S212.

[0056] In step S211, the heat storage capacity of the integrated energy system on a multi-day timescale is controlled to be between the upper and lower limits of the integrated energy system's heat storage capacity. The multi-day timescale can be based on a monthly / weekly period with a daily step size, used to describe the cross-day charge and release heat characteristics of the integrated energy system during long-term energy storage, as shown below: (5) in, This indicates the upper limit of heat storage capacity in a comprehensive energy system. This indicates the lower limit of heat storage capacity in an integrated energy system.

[0057] In step S212, the heat storage of the integrated energy system at the beginning of the multi-day time scale is equal to the heat storage at the end of the multi-day time scale, as shown below: (6) in, This represents the heat storage of the integrated energy system at the beginning of a multi-day timescale. This indicates the amount of heat stored in the integrated energy system at the beginning of a multi-day timescale.

[0058] In this way, it is possible to simulate the ability of integrated energy systems to coordinate planning and operation over a longer time scale, especially the ability of integrated energy systems to coordinate planning and operation in terms of heat storage and heat consumption.

[0059] In an optional embodiment, see Figure 5 As shown, step S21 simulates the energy storage and consumption of the integrated energy system at multiple time scales, including steps S213 and S214.

[0060] In step S213, the energy storage capacity of the integrated energy system on a daily time scale is controlled to be between the upper limit and the lower limit of the integrated energy system's energy storage capacity, as shown below: (7) in, This indicates the upper limit of the energy storage capacity of the integrated energy system. This indicates the lower limit of the energy storage capacity of the integrated energy system.

[0061] In step S214, the energy storage capacity of the integrated energy system at the beginning of a single day's time scale is equal to the energy storage capacity at the end of the single day's time scale, as shown below: (8) in, This represents the amount of electricity stored in the integrated energy system at the end of a single day. This represents the amount of electricity stored in the integrated energy system at the beginning of a single day.

[0062] In this way, it is possible to simulate the ability of integrated energy systems to coordinate planning and operation over medium to long time scales, especially the ability of integrated energy systems to coordinate planning and operation in terms of energy storage and energy consumption.

[0063] In an optional embodiment, see Figure 6 As shown, step S21 simulates the energy storage and consumption of the integrated energy system at multiple time scales, including steps S215 and S216.

[0064] In step S215, the power generation of the integrated energy system is equal to the power consumption of the integrated energy system, as shown below: (9) Specifically, This represents the power generation capacity of wind power generation during time period t. This represents the power generation of photovoltaic power generation during time period t. These represent the power purchased by the power grid. This represents the discharge power of the integrated energy system during time period t. This represents the electrical load during time period t. This represents the power consumption of the electric boiler during time period t. This represents the charging power of the integrated energy system during time period t.

[0065] In step S216, the heat storage of the integrated energy system is equal to the heat consumption of the integrated energy system, as shown below: (10) in, This represents the heat output of the gas-fired boiler during time period t. This represents the heat output of the electric boiler during time period t. This represents the heat release power of the integrated energy system during time period t. The heat load power during time period t, This represents the charging and heating power of the integrated energy system during time period t. The heat loss power of the integrated energy system during time period t.

[0066] In this way, it is possible to simulate the ability of a comprehensive energy system to coordinate planning and operation on a shorter time scale, thereby simulating the real-time balance of electrical and thermal power in the comprehensive energy system.

[0067] In an optional embodiment, see Figure 7As shown, step S20, based on the operating characteristic model and optimization objective, obtains the optimized integrated energy system setup strategy, including steps S22 and S23.

[0068] In step S22, the energy storage and energy consumption of the integrated energy system on a typical day are extracted at a multi-day time scale.

[0069] In step S23, the ramp-up restrictions, start-stop restrictions, and multi-day energy storage state transitions of a typical day and its adjacent days are coupled to simulate the energy storage and consumption of the integrated energy system.

[0070] For specific implementation, see Figure 8 As shown, in step S20, the input is the original panorama time series (OPTS) of the integrated energy system over the entire year. In step S22, the original panorama time series over the entire year is divided into months, and multiple typical days are extracted from each month as the time series cluster for that month. These typical days can maintain the daily changes and monthly power fluctuation characteristics to reflect the conversion process of energy storage and consumption of the integrated energy system each month. In step S23, the ramp-up restrictions, start-stop restrictions, and multi-day time-based energy storage state transitions of typical days are coupled with those of their adjacent days to accurately simulate the conversion process of energy storage and consumption on typical days, thus forming a compact panorama time series (CPTS).

[0071] Thus, in simulating the energy storage and consumption of an integrated energy system, a compact panoramic time series was achieved using the above method, with hourly steps, in order to simulate based on a panoramic time series. By setting typical days, daily variations and monthly power fluctuation characteristics can be preserved, and the computational load of the integrated energy system in the simulation process can be significantly reduced, thereby accelerating the solution process for the integrated energy system's configuration strategy.

[0072] The integrated energy system setup method and the integrated energy system provided in this application have significant beneficial effects: At the theoretical level, incorporating long-term thermal energy storage into the setup of the integrated energy system provides a theoretical foundation and top-level design for optimizing the capacity settings of various components of a multi-energy complementary integrated energy system. The proposed operational characteristic model can accurately characterize the operational characteristics of the integrated energy system at multiple time scales, solving the technical bottleneck of traditional models' inability to reflect inter-diurnal energy transfer characteristics. At the technical application level, by simulating the energy storage and consumption of the integrated energy system at multiple time scales, it effectively coordinates the short-term operational flexibility and long-term energy balance of the system, significantly improving the economy and reliability of the integrated energy system with a high proportion of renewable energy access. Furthermore, through an accelerated solution algorithm based on time-series reconstruction and time-series dimensionality reduction processing, the computational efficiency of large-scale complex optimization problems is greatly improved, making the optimization method engineering-practical and scalable, providing key technical support for the scientific planning and efficient operation of integrated energy systems.

[0073] It should be noted that the technical solutions or features described in the above embodiments can be combined or supplemented with each other without conflict. The scope of protection of this application is not limited to the precise structures described in the above embodiments and shown in the accompanying drawings; all modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of protection of this application.

Claims

1. A method for setting up an integrated energy system, characterized in that, The setting method includes: Construct an operational characteristic model, which includes the functional relationship between the energy storage, energy consumption, and operating costs of the integrated energy system; Based on the operating characteristic model and optimization objectives, an optimized integrated energy system setup strategy is obtained. The optimization objectives include minimizing the operating cost per unit of energy storage and minimizing the operating cost per unit of energy consumption of the integrated energy system. The integrated energy system is configured according to the aforementioned configuration strategy.

2. The method for setting up an integrated energy system according to claim 1, characterized in that, The construction and operation characteristic model includes: Construct a physical model of the energy storage system of the aforementioned integrated energy system; Obtain the correction parameters of the energy storage physical model, the correction parameters including the heat loss parameters of the energy storage physical model; Based on the energy storage physical model and the correction parameters, the operating characteristic model is constructed.

3. The method for setting up an integrated energy system according to claim 2, characterized in that, The process of obtaining the correction parameters for the energy storage physical model includes: Construct a long short-term neural network model for the energy storage physical model regarding ambient temperature and thermal storage temperature; the input of the long short-term neural network model is historical ambient temperature, thermal storage temperature and time series, and the output of the long short-term neural network is to minimize the error between the predicted value and the actual value of thermal storage loss of the physical model within a certain period.

4. The method for setting up an integrated energy system according to claim 1, characterized in that, The construction and operation characteristic model includes: Obtain the operating cost of the integrated energy system, which includes investment cost, operation and maintenance cost, and residual value.

5. The method for setting up an integrated energy system according to claim 4, characterized in that, The acquisition of the operating cost of the integrated energy system includes: The investment cost is calculated by multiplying the unit capacity investment cost of the installed equipment of the integrated energy system by the investment capacity and the installation cost of the integrated energy system. The operation and maintenance cost is calculated based on the system life, discount rate, annual operating and maintenance cost per unit capacity of the equipment, electricity consumption, gas consumption, electricity purchase price, and gas purchase price of the integrated energy system. The residual value is calculated based on the annual depreciation rate of the equipment in the integrated energy system.

6. The method for setting up an integrated energy system according to claim 1, characterized in that, The optimized integrated energy system setup strategy, derived based on the operational characteristic model and optimization objectives, includes: The energy storage and energy consumption of the integrated energy system are simulated at multiple time scales, including multi-day time scale, single-day time scale, and hourly time scale.

7. The method for setting up an integrated energy system according to claim 6, characterized in that, The simulation of the energy storage and consumption of the integrated energy system at multiple time scales includes: The heat storage capacity of the integrated energy system on a multi-day timescale is controlled between the upper limit and the lower limit of the integrated energy system's heat storage capacity. The heat storage of the integrated energy system at the beginning of a multi-day timescale is equal to the heat storage at the end of the multi-day timescale.

8. The method for setting up an integrated energy system according to claim 6, characterized in that, The simulation of the energy storage and consumption of the integrated energy system at multiple time scales includes: The amount of energy stored in the integrated energy system on a daily time scale is controlled to be between the upper limit and the lower limit of the integrated energy system's energy storage capacity. The energy storage capacity of the integrated energy system at the beginning of a single day is equal to the energy storage capacity at the end of the single day.

9. The method for setting up an integrated energy system according to claim 6, characterized in that, The simulation of the energy storage and consumption of the integrated energy system at multiple time scales includes: The power generation of the integrated energy system is controlled to be equal to the power consumption of the integrated energy system. The power generation includes wind power generation, photovoltaic power generation, grid power purchase and the discharge power of the integrated energy system. The power consumption includes the electrical load of the integrated energy system, the power consumption of the boiler and the charging power of the integrated energy system. The heat storage capacity of the integrated energy system is controlled to be equal to the heat consumption of the integrated energy system. The heat storage capacity includes the heat production power of the gas boiler, the heat production power of the electric boiler, and the heat release power of the heat storage system. The heat consumption includes the heat charging power, heat loss power, and heat load power of the integrated energy system.

10. The method for setting up an integrated energy system according to claim 6, characterized in that, The simulation of the energy storage and consumption of the integrated energy system at multiple time scales includes: The energy storage and consumption of the integrated energy system are extracted on a typical day at a multi-day timescale. By coupling the ramp-up restrictions, start-stop restrictions, and multi-day energy storage state transitions of the typical day with its adjacent days, the energy storage and energy consumption of the integrated energy system are simulated.

11. An integrated energy system, characterized in that, The integrated energy system is configured according to the configuration method of the integrated energy system as described in any one of claims 1-10.

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