Combined electricity, heat and cold supply comprehensive energy system and method coupled with multiple energy storage systems

Abstract

The invention relates to the technical field of comprehensive energy system optimization, and discloses an electricity, heat and cold combined supply comprehensive energy system and method coupled with multiple energy storage systems, a system setting module determines the comprehensive energy system and sets a multi-energy power generation system; the curve determination module obtains current energy consumption data and determines an invalid energy consumption-duration curve; the combined supply and storage module judges whether preset requirements are met or not according to the invalid consumed energy-duration curve, and if yes, an electric heating and cooling combined supply and storage system is started and comprises an electric boiler, a heat pump, a hot water tank and electrochemical energy storage; the energy optimization module constructs a double-layer planning model, collaborative optimization configuration is performed on the integrated energy system based on the double-layer planning model, the double-layer planning model comprises an upper-layer planning model and a lower-layer planning model, renewable energy sources can be further consumed, collaborative complementation and optimized operation among various subsystems can be achieved, and the energy utilization rate of the integrated energy system can be improved. And the energy utilization efficiency and effect can be improved through coupling of energy storage systems in different action ranges.

Description

Technical Field

[0001] The present invention relates to the technical field of integrated energy system optimization, and more specifically, to an integrated energy system and method for combined heat, power and cooling supply that couples multiple energy storage systems. Background Art

[0002] In recent years, the installed capacity and power generation of new energy sources such as wind energy and solar energy have shown a rapid growth trend. However, the integration of large-scale new energy power will pose extremely severe challenges to traditional power systems. With the gradual maturity of energy storage technology in research and application, its role in power peak shaving, voltage compensation, and power quality management has become increasingly crucial. It can not only reduce energy losses but also contribute to enhancing the safety and stability of system operation. The large-scale application of energy storage is urgent. Compared with a single energy storage system, deploying multiple energy storage systems in a power plant has more advantages. Thermal energy, cold energy, and electrical energy are all indispensable demands on the user side.

[0003] Since the system involves a wide variety of energy types and the energy equipment corresponding to different energies is different, the modeling and analysis of various types of equipment in the system are the premise for further optimization research. Most of the energy storage systems in the existing integrated energy systems in urban centers adopt boiler waste heat and heat pumps, and there is less research on the coupled application of other energy storage systems. Moreover, the existing pipe networks and heat sources cannot simultaneously meet the safe heating and cooling demands of the user area. And there are the following problems: 1. The heat storage tank that can only store heat singly has low economy in application and is likely to be idle. 2. The radiation of the existing pipe network is insufficient, and it is urgent to introduce a centralized cooling heat source. 3. The supply-demand changes in different energies in the complex pipe network make the operation regulation of the power plant very difficult. Summary of the Invention

[0004] The embodiments of the present invention provide an integrated energy system and method for combined heat, power and cooling supply that couples multiple energy storage systems. The present invention can not only further absorb renewable energy, realize the collaborative complementarity and optimal operation among multiple subsystems, but also improve the energy utilization efficiency and effect through the coupling between energy storage systems with different operating ranges.

[0005] To achieve the above object, the present invention provides an integrated energy system for combined heat, power and cooling supply that couples multiple energy storage systems, including: A system setting module, configured to determine an integrated energy system and set a multi-energy power generation system for the integrated energy system, where the integrated energy system includes a combined heat and power unit, a photovoltaic system, a wind power system, a power grid subsystem, a thermal energy subsystem, a refrigeration subsystem, and an energy storage subsystem; A curve determination module, configured to obtain current energy consumption data, analyze the current energy consumption data, and determine an ineffective consumption energy - duration curve based on the analysis result; A combined supply and storage module is used to determine whether the integrated energy system meets a preset demand according to the invalid consumption energy - duration curve. If so, the combined heat, power and cooling supply and storage system is started, where the combined heat, power and cooling supply and storage system includes an electric boiler, a heat pump, a hot water tank and an electrochemical energy storage. An energy optimization module is used to construct a two - layer programming model and perform collaborative optimization configuration on the integrated energy system based on the two - layer programming model, where the two - layer programming model includes an upper - layer programming model and a lower - layer programming model.

[0006] Further, the curve determination module is used for: The curve determination module is used to preset multiple duration acquisition segments, divide the duration acquisition segments into multiple sub - acquisition time nodes, and determine the invalid consumption energy data corresponding to each sub - acquisition time node. The curve determination module is used to take all the invalid consumption energy data in the duration acquisition segment as an overall data sequence and calculate the overall alignment factor corresponding to the overall data sequence. The curve determination module is used to determine the Euclidean distance from each invalid consumption energy data to the overall alignment factor, sort them from large to small, and select the first b invalid consumption energy data corresponding to the Euclidean distances as the target invalid consumption energy data. The curve determination module is used to extract the sub - acquisition time nodes corresponding to the target invalid consumption energy data, determine the maximum sub - acquisition time node and the minimum sub - acquisition time node, and determine the target duration according to the maximum sub - acquisition time node and the minimum sub - acquisition time node. The curve determination module is used to calculate the sum value of all the target invalid consumption energy data as the target invalid consumption energy data to be fitted, and use the target invalid consumption energy data to be fitted and the target duration as a curve fitting point, where the target duration is the abscissa and the target invalid consumption energy data to be fitted is the ordinate. The curve determination module is used to determine the curve fitting points corresponding to each duration acquisition segment and determine the invalid consumption energy - duration curve according to all the curve fitting points.

[0007] Further, the curve determination module is used for: The curve determination module is used to calculate the overall alignment factor corresponding to the overall data sequence according to the following formula: ; Among them, L is the overall benchmark factor corresponding to the overall data sequence, g is the quantity of ineffective absorbed energy data, K1h is the weight corresponding to the h-th ineffective absorbed energy data, k2h is the h-th ineffective absorbed energy data, kmin is the minimum ineffective absorbed energy data, and kmax is the maximum ineffective absorbed energy data. for all the maximum value in.

[0008] Furthermore, the combined supply and storage module is used for: The combined supply and storage module is used to analyze the ineffective absorbed energy - duration curve to determine all curve inflection points on the ineffective absorbed energy - duration curve; The combined supply and storage module is used to analyze all curve inflection points and classify the curve inflection points into upward - convex curve inflection points and downward - curve inflection points; The combined supply and storage module is used to determine the upward - convex curve inflection point angle value and the downward - curve inflection point angle value corresponding to each upward - convex curve inflection point and downward - curve inflection point; The combined supply and storage module is used to calculate the ineffective absorbed energy coefficient of the integrated energy system based on all the upward - convex curve inflection point angle values and downward - curve inflection point angle values; The combined supply and storage module is used to judge whether the integrated energy system meets the preset requirements according to the relationship between the ineffective absorbed energy coefficient and the preset ineffective absorbed energy coefficient; The combined supply and storage module is used to judge that the integrated energy system does not meet the preset requirements when the ineffective absorbed energy coefficient is less than the preset ineffective absorbed energy coefficient; The combined supply and storage module is used to judge that the integrated energy system meets the preset requirements when the ineffective absorbed energy coefficient is greater than or equal to the preset ineffective absorbed energy coefficient.

[0009] Furthermore, the combined supply and storage module is used for: The combined supply and storage module is used to calculate the ineffective absorbed energy coefficient of the integrated energy system according to the following formula: ; Among them, q is the ineffective absorbed energy coefficient of the integrated energy system, u is the number of upward - convex curve inflection points, y1 w is the upward - convex curve inflection point angle value of the w - th upward - convex curve inflection point, y2 is the mean value corresponding to all upward - convex curve inflection point angle values, y3 w is the weight corresponding to the w - th upward - convex curve inflection point, y4 is the variance corresponding to all upward - convex curve inflection point angle values, u2 is the number of downward - curve inflection points, z1 w2 is the downward - curve inflection point angle value of the w2 - th downward - curve inflection point, z4 w2$w_2$ is the weight corresponding to the inflection point of the $w_2$-th descending curve, $z_2$ is the variance corresponding to the inflection point angles of all descending curves, and $z_3$ is the mean value corresponding to the inflection point angles of all descending curves.

[0010] Further, the energy optimization module is configured to: The energy optimization module is configured to obtain the investment cost of the integrated energy system, and calculate the investment cost calculation coefficient of the integrated energy system according to the investment cost, where the investment cost includes the initial investment cost, equipment operation and maintenance costs, and equipment salvage value; The energy optimization module is configured to obtain the operating cost of the integrated energy system, and calculate the operating cost calculation coefficient of the integrated energy system according to the operating cost, where the operating cost includes the daily operating cost and the number of operating days; The energy optimization module is configured to obtain the power supply revenue reduction cost of the integrated energy system, and calculate the power supply revenue reduction cost calculation coefficient of the integrated energy system according to the power supply revenue reduction cost, where the power supply revenue reduction cost includes the revenue of the front flexible load function and the revenue of the rear flexible load function; The energy optimization module is configured to construct the objective function mathematical model of the upper-layer planning model based on the investment cost calculation coefficient, the operating cost calculation coefficient, and the power supply revenue reduction cost calculation coefficient.

[0011] Further, the energy optimization module is configured to: The energy optimization module is configured to calculate the investment cost calculation coefficient of the integrated energy system according to the following formula: ; where, $C$ inv is the investment cost calculation coefficient, $i$ is the equipment type in different micro energy grids, respectively representing a combined heat and power unit, an electric boiler, a voltage compression heat pump, and an electrochemical energy storage device, $N = 4$, $\Omega$ i is the set of alternative types of equipment $i$, $C$ fij is the initial investment cost of alternative type $j$ of equipment $i$, $C$ rij is the salvage value of the equipment, taking 5% of the initial investment, $C$ mij is the operation and maintenance cost of the equipment, taking 3% of the initial investment, $a$ ij is the number of installed units of equipment $j$, $\sigma$ ij is the installation status of the equipment, which is a 0-1 variable, 0 means not adopted, 1 means selected to participate in the operation in the renewable energy system, $R$ ij is the capital recovery factor of the equipment; ; where, $r$ is the discount rate, taking 6.7%, $l$ ij is the expected life of equipment $j$; The energy optimization module is used to calculate the operation cost calculation coefficient of the integrated energy system according to the following formula: ; In the formula, C o is the operation cost calculation coefficient of the integrated energy system, is the daily operation cost of a certain typical day, where the typical day includes three types: spring and autumn, summer, and winter, and d sea is the number of days of the typical day of the type; The energy optimization module is used to calculate the power supply revenue reduction cost calculation coefficient of the integrated energy system according to the following formula: ; Among them, C re is the power supply revenue reduction cost calculation coefficient of the integrated energy system, is the pre-flexible load energy supply revenue of the operator before implementing demand response, is the post-flexible load energy supply revenue of the operator after implementing demand response; The energy optimization module is used to construct the objective function mathematical model of the upper-layer planning model according to the following formula; ; Among them, minf is the objective function mathematical model of the upper-layer planning model.

[0012] Furthermore, the energy optimization module is used to: The energy optimization module is used to obtain the large power grid interaction cost of the integrated energy system, and calculate the large power grid interaction cost calculation coefficient of the integrated energy system according to the large power grid interaction cost, where the large power grid interaction cost includes the unit revenue of purchasing electricity from the large power grid and selling electricity to the grid, and the electricity quantity purchased from the grid and sold to the grid; The energy optimization module is used to obtain the environmental treatment cost of the integrated energy system, and calculate the environmental treatment cost calculation coefficient of the integrated energy system according to the environmental treatment cost, where the environmental treatment cost includes the unit treatment cost of pollutants and the emission coefficient of pollutants; The energy optimization module is used to obtain the coal purchase cost of the integrated energy system; The energy optimization module is used to construct the objective function mathematical model of the lower-layer planning model according to the large power grid interaction cost calculation coefficient, the environmental treatment cost calculation coefficient, and the coal purchase cost.

[0013] Furthermore, the energy optimization module is used to: The energy optimization module is used to calculate the large power grid interaction cost calculation coefficient of the integrated energy system according to the following formula: ; wherein, C e is the large power grid interaction cost calculation coefficient, and are respectively the unit revenues of the integrated energy system for purchasing electricity from the large power grid and selling electricity to the power grid at time t, and respectively represent the electricity quantities purchased from the power grid and sold to the power grid at time t, and Δt is the preset time calculation coefficient; The energy optimization module is used to calculate the environmental treatment cost calculation coefficient of the integrated energy system according to the following formula: ; wherein, C en is the environmental treatment cost calculation coefficient of the integrated energy system, is the unit treatment cost of pollutants, is the pollutant emission quantity when using electric energy at time t, is the pollutant emission coefficient when using electric energy, is the pollutant emission coefficient when using coal, is the pollutant emission quantity when using coal at time t; The energy optimization module is used to construct the objective function mathematical model of the lower-level planning model according to the following formula: ; In the formula, minC op is the objective function mathematical model of the lower-level planning model, and C f is the coal purchase cost.

[0014] To achieve the above object, the present invention also provides an integrated energy method for combined heat, electricity and cooling supply coupled with multiple energy storage systems, including: Determine the integrated energy system, and set a multi-energy power generation system for the integrated energy system. Among them, the integrated energy system includes a cogeneration unit, a photovoltaic system, a wind power system, a power grid subsystem, a heat energy subsystem, a refrigeration subsystem, and an energy storage subsystem; Obtain the current energy consumption data, analyze the current energy consumption data, and determine the ineffective consumption energy - duration curve based on the analysis result; Judge whether the integrated energy system meets the preset requirements according to the ineffective consumption energy - duration curve. If so, start the combined heat, electricity and cooling supply energy storage system, where the combined heat, electricity and cooling supply energy storage system includes an electric boiler, a heat pump, a hot water tank and an electrochemical energy storage; Construct a two-layer planning model, and perform collaborative optimization configuration on the integrated energy system based on the two-layer planning model. Among them, the two-layer planning model includes an upper-layer planning model and a lower-layer planning model.

[0015] Compared with the prior art, the beneficial effects of the present invention are as follows: The present invention discloses an integrated energy system and method for combined heat, power and cooling supply that couples multiple energy storage systems. The system setting module determines the integrated energy system and sets up a multi-energy power generation system; the curve determination module obtains the current energy consumption data and determines the ineffective consumption energy - duration curve; the combined power supply and storage module determines whether the preset requirements are met according to the ineffective consumption energy - duration curve. If so, it starts the combined heat, power and cooling supply and storage system, including an electric boiler, a heat pump, a hot water tank and an electrochemical energy storage; the energy optimization module constructs a two-layer programming model and conducts collaborative optimization configuration of the integrated energy system based on the two-layer programming model. The two-layer programming model includes an upper-layer programming model and a lower-layer programming model, which can not only further consume renewable energy, realize the collaborative complementarity and optimized operation among multiple subsystems, but also improve the energy utilization efficiency and effect through the coupling between energy storage systems with different operating ranges. Brief Description of the Drawings

[0016] By reading the detailed description of the preferred embodiments below, various other advantages and benefits will become clear to those of ordinary skill in the art. The drawings are only for the purpose of showing the preferred embodiments and are not considered to be a limitation of the present invention. Moreover, throughout the drawings, the same reference numerals are used to represent the same components. In the drawings: Figure 1 It shows a schematic diagram of the result of the integrated energy system for combined heat, power and cooling supply that couples multiple energy storage systems in an embodiment of the present invention; Figure 2 It shows a schematic diagram of the process of the integrated energy method for combined heat, power and cooling supply that couples multiple energy storage systems in an embodiment of the present invention. Detailed Embodiments

[0017] The following combines the drawings and embodiments to further describe in detail the specific embodiments of the present invention. The following embodiments are used to illustrate the present invention but are not used to limit the scope of the present invention.

[0018] In the description of the present application, it should be understood that the terms "center", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", etc. indicate the orientation or positional relationship based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present application and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation of the present application.

[0019] The terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, features defined with "first" and "second" may explicitly or implicitly include one or more of such features. In the description of this application, unless otherwise specified, the meaning of "a plurality" is two or more.

[0020] In the description of this application, it should be noted that, unless otherwise clearly specified and limited, the terms "install", "connect", and "couple" should be understood in a broad sense. For example, it may be a fixed connection, a detachable connection, or an integral connection; it may be a mechanical connection or an electrical connection; it may be directly connected or indirectly connected through an intermediate medium, and it may be the communication inside two components. For those of ordinary skill in the art, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0021] The following is a description of the preferred embodiments of the present invention in conjunction with the accompanying drawings.

[0022] As Figure 1 shown, the embodiments of the present invention disclose an integrated energy system for combined heat, power, and cooling coupling multiple energy storage systems, including: A system setting module for determining the integrated energy system and setting a multi-energy power generation system for the integrated energy system, where the integrated energy system includes a combined heat and power unit, a photovoltaic system, a wind power system, a power grid subsystem, a heat energy subsystem, a refrigeration subsystem, and an energy storage subsystem; A curve determination module for obtaining current energy consumption data, analyzing the current energy consumption data, and determining an ineffective consumption energy - duration curve based on the analysis result; A combined heat, power, and storage module for determining whether the integrated energy system meets a preset requirement according to the ineffective consumption energy - duration curve. If so, starting a combined heat, power, cooling, and storage system, where the combined heat, power, cooling, and storage system includes an electric boiler, a heat pump, a hot water tank, and an electrochemical energy storage; An energy optimization module for constructing a two-layer programming model and performing collaborative optimization configuration on the integrated energy system based on the two-layer programming model, where the two-layer programming model includes an upper-layer programming model and a lower-layer programming model.

[0023] In this embodiment, the photovoltaic power generation system generates electricity by using solar energy to meet the demands on the electricity demand side, and the excess electricity is fed into the power grid. The wind power generation system generates electricity by using wind energy to meet the demands on the electricity demand side, and the excess electricity is fed into the power grid. The thermal energy subsystem includes an electric boiler, a heat pump, and a hot water tank, and can convert electrical energy into thermal energy or efficiently improve the quality of thermal energy. The electricity generated by the thermal energy subsystem is used for refrigeration in the refrigeration subsystem and fed into the power grid, and the hot water prepared by the thermal energy subsystem is used to meet the requirements of the heat demand side. The refrigeration subsystem is used to refrigerate by using the electricity generated by the thermal energy subsystem and hot water to meet the requirements of the cold demand side. The energy storage subsystem includes an electric boiler, a heat pump, a hot water tank, and an electrochemical energy storage device, stores the excess electrical energy generated by the photovoltaic power generation system and the wind power generation system, releases electrical energy when the power generation is insufficient (such as no sunlight at night or weak wind), smooths the power output, reduces power fluctuations, and improves the stability and power supply reliability of the power grid.

[0024] In terms of electricity production and application, the cogeneration unit generates electricity by burning fuel, and the photovoltaic system and the wind power system generate electricity by using solar energy and wind energy respectively. During the low electricity consumption period, the electricity generated by the three mainly has three destinations: first, it is supplied to the power grid to ensure the normal electricity demand of users; second, it is transported to the electric boiler or heat pump to supplement the demand for thermal energy and cold energy; finally, the remaining electricity is stored in the electrochemical energy storage device. During the high electricity consumption period, it mainly meets the electricity load of users, and at the same time, the electricity stored in the electrochemical device can be released for peak shaving. In terms of thermal energy production and application, the main thermal energy is provided by the cogeneration unit, and additional thermal energy can also be provided by the electric boiler, heat pump, and cold and heat double storage tank during the peak heat consumption period. In terms of cold energy production and application, the cold energy mainly comes from the voltage compression type heat pump. When the cold energy demand is low, the excess cold energy can be stored in the cold and heat double storage tank, and this part of cold energy can be replaced to meet the cold energy demand when the cold energy demand is high.

[0025] The beneficial effects of the above technical solutions are as follows: designing a multi-energy power generation system of "wind - light - thermal power" in the power plant is beneficial to the consumption of renewable energy. A renewable energy system without energy storage cannot decouple the production and consumption of energy in time, resulting in energy waste. Therefore, it is necessary to introduce an energy storage system, which can balance the contradiction between "source - load" by peak shaving and valley filling, greatly increasing the stability and schedulability of the system. The present invention can not only further consume renewable energy, realize the coordinated complementarity and optimal operation among multiple subsystems, but also improve the energy utilization efficiency and effect through the coupling between energy storage systems with different operating ranges.

[0026] In some embodiments of the present application, the curve determination module is used for: The curve determination module is used to preset multiple duration acquisition segments, divide the duration acquisition segments into multiple sub-acquisition time nodes, and determine the invalid consumption energy data corresponding to each sub-acquisition time node; The curve determination module is used to take all the invalid consumption energy data in the duration acquisition segment as an overall data sequence, and calculate the overall alignment factor corresponding to the overall data sequence; The curve determination module is used to determine the Euclidean distance from each invalid consumption energy data to the overall alignment factor, sort them from large to small, and select the invalid consumption energy data corresponding to the top b Euclidean distances as the target invalid consumption energy data; The curve determination module is used to extract the sub-acquisition time nodes corresponding to the target invalid consumption energy data, determine the maximum sub-acquisition time node and the minimum sub-acquisition time node, and determine the target duration according to the maximum sub-acquisition time node and the minimum sub-acquisition time node; The curve determination module is used to calculate the sum value of all the target invalid consumption energy data as the target invalid consumption energy data to be fitted. Using the target invalid consumption energy data to be fitted and the target duration as a curve fitting point, where the target duration is the abscissa and the target invalid consumption energy data to be fitted is the ordinate; The curve determination module is used to determine the curve fitting points corresponding to each duration acquisition segment, and determine the invalid consumption energy - duration curve according to all the curve fitting points.

[0027] In this embodiment, the current energy consumption data refers to the data of actual energy utilization within a specific time period, and the invalid consumption energy refers to the data of energy not actually utilized within a specific time period.

[0028] In this embodiment, the duration acquisition segments are preset, such as the first day in the past, the second day in the past, the third day in the past, etc. The sub-acquisition time nodes correspond to the duration acquisition segments. For example, the sub-acquisition time nodes corresponding to the first day are the 1st hour, the 2nd hour, the 3rd hour, etc.

[0029] In this embodiment, if the specific time corresponding to the 1st hour is 1 am and the specific time corresponding to the 3rd hour is 3 am, then the target duration is 2 hours.

[0030] The beneficial effects of the above technical solutions are: The present invention determines the curve fitting points corresponding to each duration acquisition segment, and determines the invalid consumption energy - duration curve according to all the curve fitting points, realizing the comprehensive analysis of the invalid consumption energy data, laying a foundation and providing a basis for judging whether the integrated energy system meets the preset requirements.

[0031] In some embodiments of the present application, the curve determination module is configured to: The curve determination module is configured to calculate an integrity benchmark factor corresponding to the overall data sequence according to the following formula: ; where L is the integrity benchmark factor corresponding to the overall data sequence, g is the quantity of ineffective energy consumption data, K1h is the weight corresponding to the h-th ineffective energy consumption data, k2h is the h-th ineffective energy consumption data, kmin is the minimum ineffective energy consumption data, kmax is the maximum ineffective energy consumption data, is the maximum value among all values.

[0032] The beneficial effect of the above technical solution is that: the present invention takes all the ineffective energy consumption data in the duration acquisition segment as the overall data sequence, and calculates the integrity benchmark factor corresponding to the overall data sequence, so as to realize the classification and extraction of all ineffective energy consumption data.

[0033] In some embodiments of the present application, the combined supply and storage module is configured to: The combined supply and storage module is configured to analyze the ineffective energy consumption - duration curve to determine all curve inflection points on the ineffective energy consumption - duration curve; The combined supply and storage module is configured to analyze all the curve inflection points and divide the curve inflection points into convex curve inflection points and descending curve inflection points; The combined supply and storage module is configured to determine the convex curve inflection point angle value and the descending curve inflection point angle value corresponding to each convex curve inflection point and descending curve inflection point; The combined supply and storage module is configured to calculate the ineffective energy consumption coefficient of the integrated energy system according to all the convex curve inflection point angle values and descending curve inflection point angle values; The combined supply and storage module is configured to judge whether the integrated energy system meets the preset requirements according to the relationship between the ineffective energy consumption coefficient and the preset ineffective energy consumption coefficient; The combined supply and storage module is configured to judge that the integrated energy system does not meet the preset requirements when the ineffective energy consumption coefficient is less than the preset ineffective energy consumption coefficient; The combined supply and storage module is configured to judge that the integrated energy system meets the preset requirements when the ineffective energy consumption coefficient is greater than or equal to the preset ineffective energy consumption coefficient.

[0034] In this embodiment, for a planar curve, at a certain point within its domain, the type of inflection point is determined based on the concavity and convexity changes of the curve. When the curve transitions from a concave arc segment to a convex arc segment, this point is an inflection point of the descending curve; conversely, when the curve transitions from a convex arc segment to a concave arc segment, this point is an inflection point of the upward convex curve.

[0035] In this embodiment, the angle value of the upward protruding curve inflection point: For the upward protruding curve inflection point, the combined supply and storage module determines the angle value of the upward protruding curve inflection point by calculating the angle between the tangent line of the curve at this point and the horizontal direction. The angle value of the descending curve inflection point: The combined supply and storage module determines the angle value of the descending curve inflection point by calculating the angle between the tangent line of the curve at this point and the horizontal direction.

[0036] The beneficial effects of the above technical solution are as follows: The present invention determines whether the integrated energy system meets the preset requirements based on the relationship between the ineffective consumption energy coefficient and the preset ineffective consumption energy coefficient, achieving accurate judgment and avoiding errors. It determines the use of four energy storage systems, namely, an electric boiler, a heat pump, a hot water tank, and an electrochemical energy storage, according to the demand, and determines the mathematical model of the hourly operating characteristics of each device. At the same time, it determines the carbon emissions in the energy system and the costs of each subsystem; based on the carbon emissions and each cost of the integrated energy system with multiple energy storage systems coupled for combined heat, power, and cooling, an optimization model of the integrated energy system is constructed.

[0037] In some embodiments of the present application, the combined supply and storage module is used for: The combined supply and storage module is used to calculate the ineffective consumption energy coefficient of the integrated energy system according to the following formula: ; where q is the ineffective consumption energy coefficient of the integrated energy system, u is the number of upward protruding curve inflection points, y1 w is the angle value of the upward protruding curve inflection point of the w-th upward protruding curve inflection point, y2 is the mean value corresponding to all the angle values of the upward protruding curve inflection points, y3 w is the weight corresponding to the w-th upward protruding curve inflection point, y4 is the variance corresponding to all the angle values of the upward protruding curve inflection points, u2 is the number of descending curve inflection points, z1 w2 is the angle value of the descending curve inflection point of the w2-th descending curve inflection point, z4 w2 is the weight corresponding to the w2-th descending curve inflection point, z2 is the variance corresponding to all the angle values of the descending curve inflection points, and z3 is the mean value corresponding to all the angle values of the descending curve inflection points.

[0038] The beneficial effects of the above technical solution are as follows: The present invention ensures the accurate calculation of the ineffective consumption energy coefficient without manual intervention, guaranteeing the calculation accuracy and calculation efficiency.

[0039] In some embodiments of the present application, the energy optimization module is used for: The energy optimization module is used to obtain the investment cost of the integrated energy system, and calculate the investment cost calculation coefficient of the integrated energy system according to the investment cost. Among them, the investment cost includes the initial investment cost, equipment operation and maintenance costs, and equipment residual value; The energy optimization module is used to obtain the operation cost of the integrated energy system, and calculate the operation cost calculation coefficient of the integrated energy system according to the operation cost. Among them, the operation cost includes the daily operation cost and the number of operation days; The energy optimization module is used to obtain the power supply revenue reduction cost of the integrated energy system, and calculate the power supply revenue reduction cost calculation coefficient of the integrated energy system according to the power supply revenue reduction cost. Among them, the power supply revenue reduction cost includes the front flexible load function revenue and the back flexible load function revenue; The energy optimization module is used to construct the objective function mathematical model of the upper-layer planning model based on the investment cost calculation coefficient, operation cost calculation coefficient, and power supply revenue reduction cost calculation coefficient.

[0040] In this embodiment, since the characteristics of the cooling and heating loads are significantly related to the season, it is mainly manifested that the cooling load in summer far exceeds the heating load, while in winter it is the opposite, and the load characteristics in spring and autumn are similar, and the cooling and heating load quantities are basically the same. Therefore, we select three typical days for operation optimization calculation, and the total operation cost of the integrated energy system is the sum of the product of the operation cost of each typical day and the number of days in that season.

[0041] The beneficial effects of the above technical solution are: The present invention constructs the objective function mathematical model of the upper-layer planning model based on the investment cost calculation coefficient, operation cost calculation coefficient, and power supply revenue reduction cost calculation coefficient, providing a guarantee for constructing a two-layer planning model and carrying out collaborative optimization configuration of the integrated energy system.

[0042] In some embodiments of the present application, the energy optimization module is used for: The energy optimization module is used to calculate the investment cost calculation coefficient of the integrated energy system according to the following formula: ; Among them, C inv is the investment cost calculation coefficient, i is the equipment type in different micro energy grids, which respectively represent a combined heat and power unit, an electric boiler, a voltage compression heat pump, and an electrochemical energy storage device, N = 4, Ω i is the set of alternative types of equipment i, C fij is the initial investment cost of the alternative type j of equipment i, C rij is the residual value of the equipment, taking 5% of the initial investment, C mij is the operation and maintenance cost of the equipment, taking 3% of the initial investment, a ijThe number of units installed for device j, σ ij The installation status of the device, which is a 0-1 variable. 0 indicates not adopted, and 1 indicates selected to participate in the operation in the renewable energy system, R ij The capital recovery factor of the device; ; Among them, r is the discount rate, taking 6.7%, l ij The expected life of device j; The energy optimization module is used to calculate the operation cost calculation coefficient of the integrated energy system according to the following formula: ; In the formula, C o Is the operation cost calculation coefficient of the integrated energy system, Is the daily operation cost of a certain typical day, where the typical day includes three types: spring and autumn, summer, and winter, d sea Is the number of days of the typical day of the type; The energy optimization module is used to calculate the power supply revenue reduction cost calculation coefficient of the integrated energy system according to the following formula: ; Among them, C re Is the power supply revenue reduction cost calculation coefficient of the integrated energy system, Is the pre-flexible load energy supply revenue of the operator before implementing demand response, Is the post-pre-flexible load energy supply revenue of the operator after implementing demand response; The energy optimization module is used to construct the objective function mathematical model of the upper-layer planning model according to the following formula; ; Among them, minf is the objective function mathematical model of the upper-layer planning model.

[0043] In some embodiments of the present application, the energy optimization module is used for: The energy optimization module is used to obtain the large power grid interaction cost of the integrated energy system and calculate the large power grid interaction cost calculation coefficient of the integrated energy system according to the large power grid interaction cost, where the large power grid interaction cost includes the unit revenue of purchasing electricity from the large power grid and selling electricity to the grid, and the electricity volume purchased from the grid and sold to the grid; The energy optimization module is used to obtain the environmental treatment cost of the integrated energy system and calculate the environmental treatment cost calculation coefficient of the integrated energy system according to the environmental treatment cost, where the environmental treatment cost includes the unit treatment cost of pollutants and the emission coefficient of pollutants; The energy optimization module is used to obtain the coal purchase cost of the integrated energy system; The energy optimization module is used to construct the objective function mathematical model of the lower-level planning model according to the large power grid interaction cost calculation coefficient, the environmental treatment cost calculation coefficient, and the coal purchase cost.

[0044] In this embodiment, when the device output cannot meet the load demand, electricity will be purchased from the large power grid. Conversely, the excess power will be sold to the superior power grid. Therefore, the interaction cost between the micro energy network and the large power grid includes two parts: the power purchase cost and the power sale revenue, and the net cost is the difference between the power purchase cost and the power sale revenue.

[0045] In this embodiment, the environmental cost mainly considers the CO2 treatment cost, which consists of two parts: the pollutant treatment cost generated by using coal and the pollutant treatment cost generated by using the electric energy purchased from the power grid.

[0046] The beneficial effects of the above technical solution are: The present invention constructs the objective function mathematical model of the lower-level planning model according to the large power grid interaction cost calculation coefficient, the environmental treatment cost calculation coefficient, and the coal purchase cost, providing a guarantee for the collaborative optimization configuration of the integrated energy system.

[0047] In some embodiments of the present application, the energy optimization module is used to: The energy optimization module is used to calculate the large power grid interaction cost calculation coefficient of the integrated energy system according to the following formula: ; where C e is the large power grid interaction cost calculation coefficient, and are respectively the unit revenues of purchasing electricity from the large power grid and selling electricity to the power grid by the integrated energy system at time t, and respectively represent the electricity quantity purchased from the power grid and sold to the power grid at time t, and Δt is a preset time calculation coefficient; The energy optimization module is used to calculate the environmental treatment cost calculation coefficient of the integrated energy system according to the following formula: ; where C en is the environmental treatment cost calculation coefficient of the integrated energy system, is the unit treatment cost of pollutants, is the pollutant emission quantity when using electric energy at time t, is the pollutant emission coefficient when using electric energy, is the pollutant emission coefficient when using coal, is the pollutant emission quantity when using coal at time t; The energy optimization module is used to construct the objective function mathematical model of the lower-layer planning model according to the following formula: ; In the formula, minC op is the objective function mathematical model of the lower-layer planning model, and C f is the coal purchase cost.

[0048] The beneficial effects of the above technical solution are as follows: The present invention proposes a collaborative optimization configuration method for integrated energy systems, which breaks the rigid constraints of the traditional "heat-determined power" or "power-determined heat", constructs a two-layer planning model for the capacity configuration of "source-network-load-storage", optimizes the unit capacity with the goal of maximizing the economy of the integrated energy system in the upper layer, and optimizes the unit output with the goal of minimizing the daily operating cost in the lower layer. The differential evolution algorithm and the CPLEX solver based on the YALMIP platform are used for solution.

[0049] In some embodiments of the present application, a multi-energy collaborative complementary two-layer scheduling optimization model is proposed and determined. Using the two-stage optimization theory, a two-layer coordinated scheduling optimization model of the integrated energy system under different energy conversion strategies and energy demand response conditions is constructed, and an optimization model based on the chaotic cell membrane particle swarm algorithm is constructed for solution, providing a theoretical basis for minimizing the operating cost and realizing multi-energy complementarity in the operation of the integrated energy system. A comprehensive evaluation of the multi-energy complementary integrated energy system with combined heat, power and cooling supply coupled with multiple energy storage systems proposed in this paper is carried out using multiple indicators. An evaluation system for the park integrated energy system is constructed from four aspects: the economy, reliability, system energy efficiency and environment of the integrated energy system.

[0050] In some embodiments of the present application, The first object of the present invention is to improve the thermoelectric decoupling ability of the unit, enhance the flexibility of the power plant operation, and at the same time assist the power grid in peak shaving. In this paper, multiple energy storage systems are coupled, which can not only increase the energy storage capacity in the integrated energy system, expand the operating range of the unit load, but also enhance the stability of the integrated energy system operation. When one energy storage system fails or needs maintenance, other energy storage systems can continue to work to ensure the normal operation of the integrated energy system.

[0051] The second object of the present invention is to set up a cold and heat dual energy storage device to create a centralized heating and cooling mode of "one network with multiple supplies". The voltage centrifugal heat pump unit set in this system can not only recover the waste heat of the circulating cooling water for heating in winter, but also be used for refrigeration in summer. This can use "one heat network" to transform the existing resources for dual cold and heat supply, broaden the heat supply field while improving the equipment utilization rate and increasing the operating income.

[0052] The third objective of the present invention: to provide an operation control and management system for multi-energy flows in a power plant. Since thermal energy storage, cold energy storage are closely related to weather conditions, power plant operation conditions and spot prices, how to reasonably dispatch the entire system is a very necessary but complex problem. In this paper, a combined optimization operation logic of heat (cold)-storage-electricity-coal is proposed in the dispatching management of the integrated energy system. By integrating the characteristics of each unit in the power plant, for the thermal and electric loads of each unit under different operating conditions, combined with time-of-use electricity prices and boundary parameters related to unit operation, the heating and cooling economy analysis of the unit and the whole plant is completed. At the same time, combined with intelligent optimization algorithms, the optimization of the distribution of thermal, electric and cold loads of multiple units is completed, and the power plant consumption is reduced as much as possible to achieve the maximization of overall benefits.

[0053] In order to further elaborate the technical idea of the present invention, the technical solution of the present invention will be described below in combination with specific application scenarios.

[0054] Correspondingly, as Figure 2 shown, the present application also provides a comprehensive energy method for combined heat, electricity and cold supply coupling multiple energy storage systems, including: S110: Determine the integrated energy system and set a multi-energy power generation system for the integrated energy system. Among them, the integrated energy system includes a combined heat and power unit, a photovoltaic system, a wind power system, a power grid subsystem, a thermal energy subsystem, a refrigeration subsystem, and an energy storage subsystem; S120: Obtain the current energy consumption data, analyze the current energy consumption data, and determine the ineffective consumption energy-duration curve based on the analysis result; S130: Judge whether the integrated energy system meets the preset requirements according to the ineffective consumption energy-duration curve. If so, start the combined heat, electricity and cold supply storage system, where the combined heat, electricity and cold supply storage system includes an electric boiler, a heat pump, a hot water tank and an electrochemical energy storage; S140: Construct a two-layer programming model and perform collaborative optimization configuration on the integrated energy system based on the two-layer programming model. Among them, the two-layer programming model includes an upper-layer programming model and a lower-layer programming model.

[0055] In the description of the above embodiments, specific features, structures, materials or characteristics may be combined in a suitable manner in any one or more embodiments or examples.

[0056] Although the present invention has been described above with reference to embodiments, various improvements can be made to it and components therein can be replaced with equivalents without departing from the scope of the present invention. In particular, as long as there is no structural conflict, the various features in the embodiments disclosed in the present invention can be combined with each other in any way. The situations of these combinations are not all described in this specification only for the sake of saving space and resources.

[0057] Those of ordinary skill in the art can understand that the above are only preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or perform equivalent replacements for some of the technical features. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. An integrated energy system for combined heat, power and cooling that couples multiple energy storage systems, characterized in that, Including: A system setting module, which is used to determine an integrated energy system and set a multi-energy power generation system for the integrated energy system. Among them, the integrated energy system includes a combined heat and power unit, a photovoltaic system, a wind power system, a power grid subsystem, a heat energy subsystem, a refrigeration subsystem, and an energy storage subsystem; A curve determination module, which is used to obtain current energy consumption data, analyze the current energy consumption data, and determine an ineffective consumption energy-duration curve based on the analysis results; A combined heat, cold and energy storage module, which is used to judge whether the integrated energy system meets the preset requirements according to the ineffective consumption energy-duration curve. If so, start an electric, heat and cold combined heat and energy storage system. Among them, the electric, heat and cold combined heat and energy storage system includes an electric boiler, a heat pump, a hot water tank and an electrochemical energy storage; An energy optimization module, which is used to construct a two-layer programming model and perform collaborative optimization configuration on the integrated energy system based on the two-layer programming model. Among them, the two-layer programming model includes an upper-layer programming model and a lower-layer programming model.

2. The integrated energy system of combined heat, power and cooling coupling multiple energy storage systems according to claim 1, wherein The curve determination module is used for: The curve determination module is used to preset a plurality of duration acquisition segments, divide the duration acquisition segments into a plurality of sub-acquisition time nodes, and determine the ineffective consumption energy data corresponding to each sub-acquisition time node; The curve determination module is used to use all the ineffective consumption energy data in the duration acquisition segment as an overall data sequence and calculate the integrity benchmark factor corresponding to the overall data sequence; The curve determination module is used to determine the Euclidean distance from each ineffective consumption energy data to the integrity benchmark factor, sort them from large to small, and select the first b ineffective consumption energy data corresponding to the Euclidean distance as the target ineffective consumption energy data; The curve determination module is used to extract the sub-acquisition time nodes corresponding to the target ineffective consumption energy data, determine the maximum sub-acquisition time node and the minimum sub-acquisition time node, and determine the target duration according to the maximum sub-acquisition time node and the minimum sub-acquisition time node; The curve determination module is used to calculate the sum value of all the target ineffective consumption energy data as the target ineffective consumption energy data to be fitted. Using the target ineffective consumption energy data to be fitted and the target duration as a curve fitting point, where the target duration is the abscissa and the target ineffective consumption energy data to be fitted is the ordinate; The curve determination module is used to determine the curve fitting points corresponding to each duration acquisition segment and determine the ineffective consumption energy-duration curve according to all the curve fitting points.

3. The integrated energy system for combined heat, power and cooling that couples multiple energy storage systems according to claim 2, wherein The curve determination module is used for: The curve determination module is used to calculate the integrity benchmark factor corresponding to the overall data sequence according to the following formula: ； Among them, L is the overall alignment factor corresponding to the overall data sequence, g is the quantity of ineffective energy consumption data, K1h is the weight corresponding to the h-th ineffective energy consumption data, k2h is the h-th ineffective energy consumption data, kmin is the minimum ineffective energy consumption data, and kmax is the maximum ineffective energy consumption data. for all the maximum value among.

4. The integrated energy system of combined heat, power and cooling coupling multiple energy storage systems according to claim 1, characterized in that The combined heat, cold and energy storage module is used for: The combined heat, cold and energy storage module is used to analyze the ineffective consumption energy-duration curve and determine all the curve inflection points on the ineffective consumption energy-duration curve; The combined heat, cold and energy storage module is used to analyze all the curve inflection points and divide the curve inflection points into convex curve inflection points and descending curve inflection points; The combined supply and storage module is used to determine the upper convex curve inflection point angle value and the descending curve inflection point angle value corresponding to each upper convex curve inflection point and descending curve inflection point; The combined supply and storage module is used to calculate the ineffective consumption energy coefficient of the integrated energy system according to all the upper convex curve inflection point angle values and the descending curve inflection point angle values; The combined supply and storage module is used to judge whether the integrated energy system meets the preset requirements according to the relationship between the ineffective consumption energy coefficient and the preset ineffective consumption energy coefficient; The combined supply and storage module is used to judge that the integrated energy system does not meet the preset requirements when the ineffective consumption energy coefficient is less than the preset ineffective consumption energy coefficient; The combined supply and storage module is used to judge that the integrated energy system meets the preset requirements when the ineffective consumption energy coefficient is greater than or equal to the preset ineffective consumption energy coefficient.

5. The integrated energy system of combined heat, power and cooling coupling multiple energy storage systems according to claim 4, characterized in that, The combined supply and storage module is used for: The combined supply and storage module is used to calculate the ineffective consumption energy coefficient of the integrated energy system according to the following formula: ； Among them, q is the ineffective consumption energy coefficient of the integrated energy system, u is the number of inflection points of the upward curve, and y1 w is the inflection point angle value of the upward curve at the w-th inflection point of the upward curve, y2 is the mean value corresponding to all the inflection point angle values of the upward curve, and y3 w is the weight corresponding to the w-th inflection point of the upward curve, y4 is the variance corresponding to all the inflection point angle values of the upward curve, u2 is the number of inflection points of the downward curve, and z1 w2 is the inflection point angle value of the downward curve at the w2-th inflection point of the downward curve, and z4 w2 is the weight corresponding to the w2-th inflection point of the downward curve, z2 is the variance corresponding to all the inflection point angle values of the downward curve, and z3 is the mean value corresponding to all the inflection point angle values of the downward curve.

6. The integrated energy system of combined heat, power and cooling coupling multiple energy storage systems according to claim 1, characterized in that, The energy optimization module is used for: The energy optimization module is used to obtain the investment cost of the integrated energy system and calculate the investment cost calculation coefficient of the integrated energy system according to the investment cost, where the investment cost includes the initial investment cost, the equipment operation and maintenance cost, and the equipment residual value; The energy optimization module is used to obtain the operation cost of the integrated energy system and calculate the operation cost calculation coefficient of the integrated energy system according to the operation cost, where the operation cost includes the daily operation cost and the number of operation days; The energy optimization module is used to obtain the power supply revenue reduction cost of the integrated energy system and calculate the power supply revenue reduction cost calculation coefficient of the integrated energy system according to the power supply revenue reduction cost, where the power supply revenue reduction cost includes the front flexible load function revenue and the back flexible load function revenue; The energy optimization module is used to construct the objective function mathematical model of the upper-level planning model based on the investment cost calculation coefficient, the operation cost calculation coefficient, and the power supply revenue reduction cost calculation coefficient.

7. The integrated energy system for combined heat, power and cooling coupling multiple energy storage systems according to claim 6, wherein The energy optimization module is used for: The energy optimization module is used to calculate the investment cost calculation coefficient of the integrated energy system according to the following formula: ； Among them, C inv is the investment cost calculation coefficient, i is the equipment type in different micro energy grids, representing a combined heat and power unit, an electric boiler, a voltage compression heat pump, and an electrochemical energy storage device respectively. N = 4, Ω i is the set of alternative types of equipment i, C fij is the initial investment cost of alternative type j of equipment i, C rij is the salvage value of the equipment, taking 5% of the initial investment, C mij is the operation and maintenance cost of the equipment, taking 3% of the initial investment, a ij is the number of installed units of equipment j, σ ij is the installation status of the equipment, which is a 0-1 variable. 0 means not adopted, and 1 means selected to participate in the operation in the renewable energy system, R ij is the capital recovery coefficient of the equipment; ； where r is the discount rate, taking 6.7%, and l ij is the expected life of device j; The energy optimization module is used to calculate the operation cost calculation coefficient of the integrated energy system according to the following formula: ； where C o is the operating cost calculation coefficient of the integrated energy system, is the daily operating cost of a certain typical day, where the typical day includes three types: spring and autumn, summer, and winter, and d sea is the number of days of the typical day of the type; The energy optimization module is used to calculate the power supply revenue reduction cost calculation coefficient of the integrated energy system according to the following formula: ； Among them, C re is the cost calculation coefficient for the reduction of power supply income in the integrated energy system, is the energy supply income of the operator's pre-flexible load before implementing demand response, is the energy supply income of the operator's post-pre-flexible load after implementing demand response; The energy optimization module is used to construct the objective function mathematical model of the upper-level planning model according to the following formula; ； where minf is the objective function mathematical model of the upper-level planning model.

8. The integrated energy system of combined cooling, heating and power coupling multiple energy storage systems according to claim 1, wherein The energy optimization module is used for: The energy optimization module is used to obtain the large power grid interaction cost of the integrated energy system and calculate the large power grid interaction cost calculation coefficient of the integrated energy system according to the large power grid interaction cost, where the large power grid interaction cost includes the unit revenue of purchasing electricity from the large power grid and selling electricity to the power grid, and the electricity quantity purchased from the power grid and sold to the power grid; The energy optimization module is used to obtain the environmental treatment cost of the integrated energy system and calculate the environmental treatment cost calculation coefficient of the integrated energy system according to the environmental treatment cost. Wherein, the environmental treatment cost includes the unit treatment cost of pollutants and the emission coefficient of pollutants; The energy optimization module is used to obtain the coal purchase cost of the integrated energy system; The energy optimization module is used to construct the objective function mathematical model of the lower-level planning model according to the large power grid interaction cost calculation coefficient, the environmental treatment cost calculation coefficient and the coal purchase cost; 9. The integrated energy system for combined heat, cooling and power supply that couples multiple energy storage systems according to claim 8, wherein The energy optimization module is used for: The energy optimization module is used to calculate the large power grid interaction cost calculation coefficient of the integrated energy system according to the following formula: ； Among them, C e is the calculation coefficient of the interaction cost with the large power grid, and are the unit revenues of the integrated energy system for purchasing electricity from the large power grid and selling electricity to the power grid at time t, respectively, and represent the electricity quantities purchased from and sold to the power grid at time t, respectively, and Δt is the preset time calculation coefficient; The energy optimization module is used to calculate the environmental treatment cost calculation coefficient of the integrated energy system according to the following formula: ； Among them, C en is the environmental treatment cost calculation coefficient of the integrated energy system, is the unit treatment cost of pollutants, is the pollutant emission at time t when using electric energy, is the pollutant emission coefficient when using electric energy, is the pollutant emission coefficient when using coal, is the pollutant emission at time t when using coal; The energy optimization module is used to construct the objective function mathematical model of the lower-level planning model according to the following formula: ； where, minC op is the mathematical model of the objective function of the lower-level planning model, and C f is the coal purchase cost.

10. A comprehensive energy method for combined heat, power and cooling with multiple energy storage systems coupled, which is applied to a comprehensive energy system for combined heat, power and cooling with multiple energy storage systems coupled as described in any one of claims 1-9, characterized in that, Including: Determine the integrated energy system and set a multi-energy power generation system for the integrated energy system. Wherein, the integrated energy system includes a combined heat and power unit, a photovoltaic system, a wind power system, a power grid subsystem, a heat energy subsystem, a refrigeration subsystem and an energy storage subsystem; Obtain the current energy consumption data and analyze the current energy consumption data, and determine the ineffective consumption energy-duration curve based on the analysis results; Judge whether the integrated energy system meets the preset requirements according to the ineffective consumption energy-duration curve. If so, start the electric-thermal-cooling combined energy storage system. Wherein, the electric-thermal-cooling combined energy storage system includes an electric boiler, a heat pump, a hot water tank and an electrochemical energy storage; Construct a two-layer planning model and perform collaborative optimization configuration on the integrated energy system based on the two-layer planning model. Wherein, the two-layer planning model includes an upper-layer planning model and a lower-layer planning model.

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