Method and device for determining energy combination form of multi-energy coupling heat supply system

Abstract

The invention discloses a method and device for determining an energy combination form of a multi-energy coupling heat supply system. The method comprises the steps that for each moment in a preset heating time period, the moment available load proportion combination of multiple energy sources used in the multi-energy coupling heating system is determined, for any moment in the preset heating time period, the moment available load proportion combination is the load proportion combination of the multiple energy sources capable of being used at the moment, and the load proportion combination is the load proportion combination of the multiple energy sources capable of being used at the moment; the load proportion combination comprises the load proportion of each energy source in multiple energy sources, and the multiple energy sources at least comprise renewable energy sources; and on the basis of the moment available load proportion combination corresponding to each moment, the optimal load proportion combination of the multiple energy sources in the preset heating time period is determined by taking the lowest operation cost of the multi-energy coupling heating system as the target, so that the energy source combination form of the multi-energy coupling heating system is determined. Therefore, the economical efficiency of the multi-energy coupling heat supply system is improved.

Description

Technical Field

[0001] The present application relates to the field of multi-energy coupling heating, and more specifically, to a method and device for determining the energy combination form of a multi-energy coupling heating system. Background Art

[0002] The medium-deep geothermal (underground heat exchange) heating system generally determines the proportion of geothermal energy in the building heating load, heating process flow, terminal system form, peak heating load adjustment means, and guarantee means based on the geology, site, building energy demand, other heat sources and other factors of the project location. When the medium-deep geothermal heat pump system cannot fully meet the heating needs of the building, auxiliary heating should be considered, and the auxiliary heating energy should give priority to clean energy.

[0003] When adopting the form of an integrated energy system that synergistically couples multiple energy sources, the energy control system's level of intelligence, digitization, and economy is not high, and the stable and economical operation of the integrated energy system cannot be guaranteed.

[0004] How to improve the economic efficiency of the integrated energy system while meeting energy demand has become a technical problem that needs to be solved in this field. Summary of the invention

[0005] In view of this, the present application proposes a method and device for determining the energy combination form of a multi-energy coupling heating system, so as to improve the economy of the multi-energy coupling heating system while meeting energy needs.

[0006] In a first aspect, an embodiment of the present application provides a method for determining an energy combination form of a multi-energy coupling heating system, the method comprising: for each moment within a preset heating time period, determining a moment-by-moment available load share combination of multiple energy sources used in the multi-energy coupling heating system, wherein, for any moment within the preset heating time period, the moment-by-moment available load share combination is a load share combination of the multiple energy sources that can be used at that moment, and the load share combination includes the load share of each energy source in the multiple energy sources, and the multiple energy sources include at least renewable energy; based on the moment-by-moment available load share combination corresponding to each moment, with the goal of minimizing the operating cost of the multi-energy coupling heating system, determining the optimal load share combination of the multiple energy sources in the preset heating time period to determine the energy combination form of the multi-energy coupling heating system.

[0007] Optionally, based on the available load proportion combination corresponding to each moment, with the goal of minimizing the operating cost of the multi-energy coupling heating system, the optimal load proportion combination of the multiple energy sources in the preset heating time period is determined, including: when the multiple energy sources are all renewable energy sources, for each moment, the optimal load proportion combination is determined based on the available load proportion combination at the moment, and the optimal load proportion combination of the multiple energy sources in the preset heating time period is determined based on the optimal load proportion combination at each moment, so as to determine the energy combination form of the multi-energy coupling heating system, wherein, for any moment, the optimal load proportion combination at the moment is the load proportion combination that minimizes the operating cost of the multi-energy coupling heating system at that moment; and / or when the multiple energy sources are not all renewable energy sources, the total available load proportion combination of the multiple energy sources in the preset heating time period is determined based on the available load proportion combination corresponding to each moment, and based on the determined total available load proportion combination, with the goal of minimizing the operating cost of the multi-energy coupling heating system, the optimal load proportion combination of the multiple energy sources in the preset heating time period is determined to determine the energy combination form of the multi-energy coupling heating system.

[0008] Optionally, for any moment, determining the optimal load share combination at that moment based on the available load share combination at that moment includes: determining the first operating cost of the multi-energy coupling heating system for each available load share combination at that moment; and comparing the first operating costs corresponding to the available load share combinations at all moments to determine the lowest first operating cost, wherein the available load share combination at that moment corresponding to the lowest first operating cost is the optimal load share combination at that moment.

[0009] Optionally, for any moment, determining the optimal load share combination at that moment based on the available load share combination at that moment includes: determining the first system COP of the multi-energy coupling heating system for each available load share combination at that moment; comparing the first system COPs corresponding to the available load share combinations at all moments to determine the maximum first system COP, wherein the available load share combination at that moment corresponding to the maximum first system COP is the optimal load share combination at that moment.

[0010] Optionally, based on the determined total available load proportion combination, with the goal of minimizing the operating cost of the multi-energy coupling heating system, the optimal load proportion combination of the multiple energy sources in the preset heating time period is determined, including: for each total available load proportion combination, determining the second system COP and the second operating cost of the multi-energy coupling heating system; based on the determined second system COP and the second operating cost, with the goal of minimizing the operating cost of the multi-energy coupling heating system, determining the optimal load proportion combination of the multiple energy sources in the preset heating time period.

[0011] Optionally, based on the determined second system COP and second operating cost, with the goal of minimizing the operating cost of the multi-energy coupling heating system, determining the optimal load proportion combination of the multiple energy sources in the preset heating time period, including: step 1, comparing the second operating costs corresponding to all total available load proportion combinations to determine the lowest second operating cost; step 2, based on the total available load proportion combination corresponding to the lowest second operating cost, combined with a preset economic performance calculation formula, determining the optimal value of the economic performance of the multi-energy coupling heating system; step 3, comparing each second system COP with the optimal economic performance value to determine whether there is a second system COP that meets the preset conditions; step 4, comparing the second system COP that meets the preset conditions In the case of a second system COP that meets the preset condition, the optimal load share combination of the multiple energy sources in the preset heating time period is determined based on the total available load share combination corresponding to the second system COP that meets the preset condition; step five, in the case that there is no second system COP that meets the preset condition, based on the total available load share combination that removes the total available load share combination corresponding to the lowest second operating cost from all total available load share combinations, repeat steps one to three until the second system COP that meets the preset condition is determined, and the total available load share combination corresponding to the second system COP that meets the preset condition is determined as the optimal load share combination of the multiple energy sources in the preset heating time period.

[0012] In a second aspect, an embodiment of the present application also provides a device for determining the energy combination form of a multi-energy coupling heating system, the device comprising: a module for determining a combination of available load proportions at each moment, for determining, for each moment within a preset heating time period, a combination of available load proportions at each moment of a plurality of energy sources used in the multi-energy coupling heating system, wherein, for any moment within the preset heating time period, the available load proportion combination at each moment is a combination of load proportions of the plurality of energy sources that can be used at that moment, and the load proportion combination includes the load proportion of each energy source in the plurality of energy sources, and the plurality of energy sources includes at least renewable energy; an optimal load proportion combination determination module, for determining, based on the available load proportion combination at each moment corresponding to the plurality of energy sources, the optimal load proportion combination of the plurality of energy sources in the preset heating time period with the goal of minimizing the operating cost of the multi-energy coupling heating system, so as to determine the energy combination form of the multi-energy coupling heating system.

[0013] Optionally, based on the available load proportion combination corresponding to each moment, with the goal of minimizing the operating cost of the multi-energy coupling heating system, the optimal load proportion combination of the multiple energy sources in the preset heating time period is determined, including: when the multiple energy sources are all renewable energy sources, for each moment, the optimal load proportion combination is determined based on the available load proportion combination at the moment, and the optimal load proportion combination of the multiple energy sources in the preset heating time period is determined based on the optimal load proportion combination at each moment, so as to determine the energy combination form of the multi-energy coupling heating system, wherein, for any moment, the optimal load proportion combination at the moment is the load proportion combination that minimizes the operating cost of the multi-energy coupling heating system at that moment; and / or when the multiple energy sources are not all renewable energy sources, the total available load proportion combination of the multiple energy sources in the preset heating time period is determined based on the available load proportion combination corresponding to each moment, and based on the determined total available load proportion combination, with the goal of minimizing the operating cost of the multi-energy coupling heating system, the optimal load proportion combination of the multiple energy sources in the preset heating time period is determined to determine the energy combination form of the multi-energy coupling heating system.

[0014] Optionally, for any moment, determining the optimal load share combination at that moment based on the available load share combination at that moment includes: determining the first operating cost of the multi-energy coupling heating system for each available load share combination at that moment; and comparing the first operating costs corresponding to the available load share combinations at all moments to determine the lowest first operating cost, wherein the available load share combination at that moment corresponding to the lowest first operating cost is the optimal load share combination at that moment.

[0015] Optionally, for any moment, determining the optimal load share combination at that moment based on the available load share combination at that moment includes: determining the first system COP of the multi-energy coupling heating system for each available load share combination at that moment; comparing the first system COPs corresponding to the available load share combinations at all moments to determine the maximum first system COP, wherein the available load share combination at that moment corresponding to the maximum first system COP is the optimal load share combination at that moment.

[0016] Optionally, based on the determined total available load proportion combination, with the goal of minimizing the operating cost of the multi-energy coupling heating system, the optimal load proportion combination of the multiple energy sources in the preset heating time period is determined, including: for each total available load proportion combination, determining the second system COP and the second operating cost of the multi-energy coupling heating system; based on the determined second system COP and the second operating cost, with the goal of minimizing the operating cost of the multi-energy coupling heating system, determining the optimal load proportion combination of the multiple energy sources in the preset heating time period.

[0017] Optionally, based on the determined second system COP and second operating cost, with the goal of minimizing the operating cost of the multi-energy coupling heating system, determining the optimal load proportion combination of the multiple energy sources in the preset heating time period, including: step 1, comparing the second operating costs corresponding to all total available load proportion combinations to determine the lowest second operating cost; step 2, based on the total available load proportion combination corresponding to the lowest second operating cost, combined with a preset economic performance calculation formula, determining the optimal value of the economic performance of the multi-energy coupling heating system; step 3, comparing each second system COP with the optimal economic performance value to determine whether there is a second system COP that meets the preset conditions; step 4, comparing the second system COP that meets the preset conditions In the case of a second system COP that meets the preset condition, the optimal load share combination of the multiple energy sources in the preset heating time period is determined based on the total available load share combination corresponding to the second system COP that meets the preset condition; step five, in the case that there is no second system COP that meets the preset condition, based on the total available load share combination that removes the total available load share combination corresponding to the lowest second operating cost from all total available load share combinations, repeat steps one to three until the second system COP that meets the preset condition is determined, and the total available load share combination corresponding to the second system COP that meets the preset condition is determined as the optimal load share combination of the multiple energy sources in the preset heating time period.

[0018] In a third aspect, an embodiment of the present application further provides a machine-readable storage medium, on which instructions are stored, and when the instructions are executed by a processor, the processor is configured to execute the steps according to the above method.

[0019] According to the technical solution of the present application, based on the available load proportion combination corresponding to each moment, with the goal of minimizing the operating cost of the multi-energy coupled heating system, the optimal load proportion combination of multiple energy sources in the preset heating time period is determined to determine the energy combination form of the multi-energy coupled heating system. In this way, the operating cost of the multi-energy coupled heating system is taken into consideration when determining the energy combination form of the multi-energy coupled heating system, and the goal is to minimize the operating cost of the multi-energy coupled heating system. Therefore, the energy combination form of the determined multi-energy coupled heating system saves the operating cost of the multi-energy coupled heating system to the maximum extent, improves the economy of the multi-energy coupled heating system, and achieves the improvement of the economy of the comprehensive energy system while meeting energy needs.

[0020] Other features and advantages of the present application will be described in detail in the subsequent detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The accompanying drawings constituting a part of the present application are used to provide a further understanding of the present application, and the schematic implementation modes and descriptions of the present application are used to explain the present application. In the accompanying drawings:

[0022] Figure 1 It is a flow chart of a method for determining an energy combination form of a multi-energy coupling heating system according to a preferred embodiment of the present application;

[0023] Figure 2 A logic diagram of a method for determining an energy combination form of a multi-energy coupling heating system according to a preferred embodiment of the present application; and

[0024] Figure 3 It is a structural block diagram of a device for determining the energy combination form of a multi-energy coupling heating system according to a preferred embodiment of the present application. DETAILED DESCRIPTION

[0025] The technical solution of the present application will be described in detail below with reference to the accompanying drawings and in combination with the implementation modes.

[0026] In a first aspect, an embodiment of the present application provides a method for determining an energy combination form of a multi-energy coupling heating system.

[0027] Figure 1 Flow chart of a method for determining the energy combination form of a multi-energy coupling heating system according to a preferred embodiment of the present application. Figure 1 As shown, the method includes the following contents.

[0028] In step S10, for each moment in the preset heating time period, the moment available load proportion combination of multiple energy sources used in the multi-energy coupling heating system is determined, wherein for any moment in the preset heating time period, the moment available load proportion combination is the load proportion combination of multiple energy sources that can be used at that moment, and the load proportion combination includes the load proportion of each energy source in the multiple energy sources, and the multiple energy sources at least include renewable energy. For any load proportion combination, the sum of all load proportions is 1.

[0029] In the implementation mode of the present application, the renewable energy may be medium-deep geothermal. Medium-deep geothermal (downhole heat exchange) technology is a renewable energy application target, and its main components include medium-deep geothermal (downhole heat exchange) heating system. Among them, the medium-deep geothermal (downhole heat exchange) heating system mainly consists of three parts: geothermal wells and downhole pipelines, heat pump systems, and terminal heating systems.

[0030] Among them, in the implementation manner of the present application, the preset heating time period can be determined according to actual conditions, for example, it can be determined according to the entire winter heating time. The time within the preset heating time period can be determined according to specific conditions.

[0031] In addition, in the implementation mode of the present application, for each moment, the moment available load ratio combination can be set according to the heat consumption of the energy and / or the operating cost of the multi-energy coupling heating system; or, the moment available load ratio combination can be further clarified based on the installed capacity ratio of renewable energy. Among them, the installed capacity ratio refers to the maximum load capacity of the equipment that can be borne by equipping multiple energy sources according to the peak load value of the building heating season. The installed capacity ratio is the maximum operating capacity of the equipment and is the prerequisite for confirming the moment available load ratio combination.

[0032] In addition, in the embodiments of the present application, the multiple energy sources may include only renewable energy or renewable energy and traditional energy. Traditional energy refers to other energy sources that can provide heating in the heating field except renewable energy, such as gas boilers, municipal heating, etc.

[0033] In step S11, based on the available load proportion combination corresponding to each moment, with the goal of minimizing the operating cost of the multi-energy coupling heating system, the optimal load proportion combination of multiple energy sources in the preset heating time period is determined to determine the energy combination form of the multi-energy coupling heating system.

[0034] Optionally, in an embodiment of the present application, based on the available load share combination corresponding to each moment, with the goal of minimizing the operating cost of the multi-energy coupled heating system, the optimal load share combination of multiple energy sources in the preset heating time period is determined, which may include the following contents.

[0035] When multiple energy sources are all renewable energy sources, the following contents are performed. For each moment, the optimal load proportion combination at that moment is determined based on the available load proportion combination at that moment. Based on the optimal load proportion combination at each moment, the optimal load proportion combination of multiple energy sources in the preset heating time period is determined to determine the energy combination form of the multi-energy coupling heating system. Among them, for any moment, the optimal load proportion combination at that moment is the load proportion combination that makes the operating cost of the multi-energy coupling heating system the lowest at that moment.

[0036] Specifically, in the implementation mode of the present application, for each energy source, combined with the optimal load proportion at each moment corresponding to the energy source in the optimal load proportion combination at each moment, the optimal load proportion of the energy source in the preset heating time period is determined based on the following content to determine the optimal load proportion combination. For each moment, the total energy consumption of the building at that moment is multiplied by the optimal load proportion of the energy source to determine the load borne by the energy source at that moment. The sum of the loads obtained at all moments is divided by the sum of the total energy consumption of the building at all moments to obtain the optimal load proportion of the energy source in the preset heating time period.

[0037] And / or, when the multiple energy sources are not all renewable energy sources, perform the following.

[0038] The total available load proportion combination of multiple energy sources in the preset heating time period is determined based on the available load proportion combination corresponding to each moment. The total available load proportion combination is the load proportion combination of multiple energy sources that can be used based on the preset heating time period, and is the result of coupling the available load proportion combination selected at each moment in the preset heating time period.

[0039] Specifically, the available load proportion combinations corresponding to each moment are arranged and combined; for each result of the arrangement and combination, based on the available load proportion combinations included therein, the total available load proportion combination of multiple energy sources in the preset heating time period is determined. There are as many results of the total available load proportion combination as there are results of the arrangement and combination. For example, there are a total of 3 moments, and each moment has 3 available load proportion combinations, then the result of the arrangement and combination is 27, and a total available load proportion combination can be determined for each result, and the result of the total available load proportion combination is 27. In addition, for the result of any arrangement and combination, how to determine the total available load proportion combination can be understood by referring to the relevant explanation of "determining the optimal load proportion combination of multiple energy sources in the preset heating time period based on the optimal load proportion combination at each moment" in the above implementation mode.

[0040] Specifically, for the result of any permutation and combination, the total available load proportion combination can be determined by referring to the following content. For each energy source, combined with the available load proportion combination at each moment included in the permutation and combination, the total available load proportion of the energy source in the preset heating time period is determined based on the following content to determine the total available load proportion combination. For each moment, the total energy consumption of the building at that moment is multiplied by the available load proportion of the energy source to determine the load borne by the energy source at that moment. The total available load proportion of the energy source in the preset heating time period is obtained by dividing the sum of the loads obtained at all moments by the sum of the total energy consumption of the building at all moments.

[0041] Based on the determined total available load ratio combination, with the goal of minimizing the operating cost of the multi-energy coupling heating system, the optimal load ratio combination of multiple energy sources in the preset heating time period is determined to determine the energy combination form of the multi-energy coupling heating system.

[0042] In the implementation manner of the present application, for any moment, the optimal load proportion combination at the moment is determined based on the available load proportion combination at the moment, which can be determined based on the operating cost and / or system COP of the multi-energy coupling heating system.

[0043] Optionally, in an embodiment of the present application, for any moment, determining the optimal load proportion combination at that moment based on the available load proportion combination at that moment may include the following contents.

[0044] For each available load proportion combination at a moment, the first operating cost of the multi-energy coupling heating system is determined. The first operating cost of the multi-energy coupling heating system is the operating cost determined based on the available load proportion combination at a moment.

[0045] The first operating costs corresponding to all available load proportion combinations at all times are compared to determine the lowest first operating cost. In other words, by comparing the first operating costs corresponding to all available load proportion combinations at all times, the smallest of all first operating costs is determined as the lowest first operating cost. Among them, the available load proportion combination at the moment corresponding to the lowest first operating cost is the optimal load proportion combination at the moment.

[0046] Optionally, in the implementation manner of the present application, for the available load proportion combination at any moment, determining the first operating cost of the multi-energy coupling heating system may include the following contents.

[0047] Based on the available load ratio combination at the moment, determine the heat consumption of each energy source among multiple energy sources. The sum of the heat consumption of all energy sources is the total energy consumption of the building, that is, Formula 1:

[0048] Q 种类1 +Q 种类2 =Q 建筑总能耗

[0049] Q 11 +Q 12 +…+Q 1i +…+Q 1n =Q 种类1

[0050] Q 21 +Q 22 +…+Q 2i +…+Q 2m =Q 种类2

[0051] Among them, Q 种类1 It represents the total energy consumption of renewable energy in the multi-energy coupling heating system; Q 种类2 It represents the total energy consumption of multiple energy sources except renewable energy in the multi-energy coupling heating system; Q 建筑总能耗 represents the total energy consumption of the building heated by the multi-energy coupling heating system; Q 1i represents the heat consumption of renewable energy i; n represents the total number of renewable energy types; Q 2i represents the heat consumption of other energy i; m represents the total number of types of other energy. It should be noted that, in the embodiment of the present application, Q 建筑总能耗 It should be noted that, in the embodiments of the present application, category 1 represents renewable energy, and category 2 represents other energy sources except renewable energy.

[0052] The available load ratio combination at the moment indicates the load ratio of each energy source among the multiple energy sources. Combining the available load ratio combination at the moment with formula 1, the heat consumption of each energy source can be obtained. It should be noted that when the multiple energy sources used in the multi-energy coupling heating system are all renewable energy sources, the sum of the heat consumption of the multiple energy sources is the total energy consumption of the building. In addition, when calculating for a certain moment, the total energy consumption of the building is the total energy consumption of the building at that moment.

[0053] For each energy source, the power consumption is determined based on the heat consumption. It should be noted that for renewable energy, the power consumption can be determined based on the heat consumption. Specifically, the conversion formula between heat consumption and power consumption is combined, that is, Formula 2: Q 1i =W 1i ×COP 1i Among them, Q 1i Represents the heat consumption of renewable energy 1i; W 1i Represents the electricity consumption of renewable energy 1i; COP 1i Indicates the unit power heating of renewable energy 1i. When using Formula 2 to calculate electricity consumption, COP 1i Specifically, when the available load ratio is determined, the COP can be obtained by determining the manufacturer's equipment parameter selection. 1i .

[0054] Based on the power consumption of each energy source and the preset operating cost calculation formula, the first operating cost of the multi-energy coupling heating system is determined. Specifically, the preset operating cost calculation formula is: Formula 3: ∑(W 11 ×Pe 11 +W 12 ×Pr 12 +…+W 1i ×Pr 1i +…+W 1n ×Pr 1n +Q 21 ×Pr 21 +Q 22 ×Pr 22 +…+Q 2i ×Pr 2i +…+Q 2n ×Pr 2n ).

[0055] Among them, W 1i represents the electricity consumption of renewable energy 1i; Pr 1i represents the electricity price of renewable energy 1i; Q 2i Indicates the heat consumption of other energy sources 2i; Pr 2i represents the heat price of other energy 2i. Optionally, in the embodiment of the present application, W1i The unit can be kW; Pr 1i The unit can be RMB / kWh; Q 2i The unit can be GJ; Pr 2i The unit can be Yuan / GJ.

[0056] It should be noted that when the multiple energy sources are only renewable energy, only the power consumption and electricity price of the renewable energy are used in the calculation of the first operating cost. In addition, when the calculation is performed for a certain moment, the calculated operating cost is the operating cost at that moment.

[0057] Optionally, in the implementation mode of the present application, the system COP corresponding to the entire preset heating time period is determined based on the optimal load proportion combination corresponding to each moment. Combined with the above analysis, it can be seen that for the optimal load proportion combination corresponding to any moment, the heat consumption and power consumption of each energy source can be calculated. For each energy source, the heat consumption at each moment is summed to obtain the heat consumption corresponding to each energy source in the entire preset heating time period. The heat consumption corresponding to all energy sources in the entire preset heating time period is summed to obtain the heat consumption corresponding to all energy sources in the entire preset heating time period. For each energy source, the power consumption at each moment is summed to obtain the power consumption corresponding to each energy source in the entire preset heating time period. The power consumption corresponding to all energy sources in the entire preset heating time period is summed to obtain the power consumption corresponding to all energy sources in the entire preset heating time period. The heat consumption corresponding to all energy sources in the entire preset heating time period is divided by the power consumption corresponding to all energy sources in the entire preset heating time period to obtain the system COP corresponding to the entire preset heating time period. The system COP corresponding to the entire preset heating time period is controlled and displayed so that the staff can obtain the standard for adjusting the load proportion of the multi-energy coupling energy source and effectively adjust the load proportion of the multi-energy coupling energy source.

[0058] Optionally, in an embodiment of the present application, for any moment, determining the optimal load proportion combination at the moment based on the available load proportion combination at the moment may include the following contents.

[0059] For each available load proportion combination at each moment, the first system COP of the multi-energy coupling heating system is determined.

[0060] Specifically, for any available load proportion combination at any moment, the first system COP can be determined according to the following content: The first system COPs corresponding to all available load proportion combinations at all moments are compared to determine the maximum first system COP, wherein the available load proportion combination at the moment corresponding to the maximum first system COP is the optimal load proportion combination at the moment.

[0061] Optionally, in the implementation manner of the present application, for any available load ratio combination at any time, determining the first system COP of the multi-energy coupling heating system may include the following: Wherein, the first system COP is the unit power heating capacity of the multi-energy coupling heating system, specifically, it refers to the ratio of the total heat consumption of all renewable energy sources in multiple energy sources to the total electricity consumption.

[0062] Based on the combination of available load proportions at the moment, the heat consumption of each of the multiple energy sources is determined. For each energy source, the power consumption is determined based on the heat consumption. Specifically, how to determine the heat consumption and power consumption of each energy source can refer to the contents described in the above implementation. Based on the heat consumption and power consumption of each energy source, the first system COP of the multi-energy coupling heating system is determined. The heat consumption of all energy sources is added to obtain the total heat consumption, the power consumption of all energy sources is added to obtain the total power consumption, and the total heat consumption is divided by the total power consumption to obtain the first system COP.

[0063] Optionally, in an embodiment of the present application, based on the determined total available load share combination, with the goal of minimizing the operating cost of the multi-energy coupled heating system, determining the optimal load share combination of multiple energy sources in a preset heating time period may include the following contents.

[0064] For each total available load proportion combination, the second system COP and the second operating cost of the multi-energy coupling heating system are determined.

[0065] Specifically, for any total available load proportion combination, determining the second system COP may include the following contents.

[0066] Combining the total available load percentage with Formula 1, the heat consumption of each energy source can be obtained. It should be noted that the heat consumption of each renewable energy source and the heat consumption of each other energy source can be obtained here, and the total building energy consumption used is the total building energy consumption during the preset heating time period. For renewable energy, the power consumption is determined based on Formula 2. Add the heat consumption of all renewable energy sources to obtain the total heat consumption of renewable energy, add the power consumption of all renewable energy sources to obtain the total power consumption of renewable energy, and divide the total heat consumption of renewable energy by the total power consumption to obtain the second system COP.

[0067] Specifically, for any total available load proportion combination, determining the second operating cost may include the following contents.

[0068] According to the above analysis, the power consumption of each renewable energy source and the heat consumption of each other energy source can be obtained, and the second operating cost can be obtained by combining Formula 3. It should be noted that the operating cost calculated here refers to the operating cost based on the preset heating time period.

[0069] Based on the determined second system COP and second operating cost, with the goal of minimizing the operating cost of the multi-energy coupling heating system, the optimal load proportion combination of multiple energy sources in the preset heating time period is determined.

[0070] Optionally, in an embodiment of the present application, based on the determined second system COP and the second operating cost, with the goal of minimizing the operating cost of the multi-energy coupling heating system, determining the optimal load proportion combination of multiple energy sources in a preset heating time period may include the following contents. Compare the second operating costs corresponding to all total available load proportion combinations to determine the lowest second operating cost. Determine the optimal load proportion combination of multiple energy sources in a preset heating time period based on the determined second system COP and the lowest second operating cost.

[0071] Optionally, in an embodiment of the present application, based on the determined second system COP and second operating cost, with the goal of minimizing the operating cost of the multi-energy coupled heating system, the optimal load share combination of multiple energy sources in a preset heating time period is determined, which may include the following contents.

[0072] Step 1: Compare the second operating costs corresponding to all total available load proportion combinations to determine the lowest second operating cost, wherein the lowest second operating cost is the lowest of the second operating costs corresponding to all total available load proportion combinations.

[0073] Step 2: Based on the total available load proportion combination corresponding to the lowest second operating cost and combined with the preset economic performance calculation formula, determine the optimal economic performance value of the multi-energy coupling heating system.

[0074] Optionally, in the implementation manner of the present application, the preset economic performance calculation formula is the sum of the products of the heat consumption and electricity prices of all renewable energy sources divided by the product of the total building energy consumption and the basic energy electricity price minus the sum of the products of the heat consumption and heat prices of all other energy sources, Formula 4:

[0075]

[0076] According to the above analysis, each total available load ratio combination corresponds to a second operating cost, and the lowest second operating cost corresponds to a total available load ratio combination. According to the above analysis, based on the total available load ratio combination, the heat consumption of each energy source and the electricity consumption of each renewable energy source can be determined. Therefore, combined with formula 4, a CEPE value can be determined, which is the optimal value of the economic performance of the multi-energy coupling heating system. 参照基础能源Represents the basic energy electricity price, which is the basic energy electricity price for coupled heating determined by referring to the project and building characteristics, that is, the basic electricity price for bearing the total energy consumption of the building determined based on the different energy types and their electricity and heat prices for coupled heating. This electricity price needs to be formulated in combination with the characteristics of different projects. When calculating in the implementation mode of this application, Pr 参照基础能源 is known.

[0077] Step 3: Compare each second system COP with the optimal economic performance value to determine whether there is a second system COP that meets a preset condition. Optionally, in the embodiment of the present application, the preset condition is that the second system COP is greater than or equal to the optimal economic performance value.

[0078] Step 4. In the case of a second system COP that meets the preset conditions, based on the total available load share combination corresponding to the second system COP that meets the preset conditions, determine the optimal load share combination of multiple energy sources in the preset heating time period. According to the above analysis, each second system COP corresponds to a total available load share combination. In the case where only one second system COP meets the preset conditions, the total available load share combination corresponding to the second system COP that meets the preset conditions is determined as the optimal load share combination of multiple energy sources in the preset heating time period. In the case where there are multiple second system COPs that meet the preset conditions, the total available load share combination corresponding to the largest of the multiple second system COPs that meet the preset conditions is determined as the optimal load share combination of multiple energy sources in the preset heating time period.

[0079] Step 5. In the case that there is no second system COP that meets the preset conditions, based on the total available load share combinations remaining after removing the total available load share combination corresponding to the lowest second operating cost from all total available load share combinations, repeat steps 1 to 3 until a second system COP that meets the preset conditions is determined, and the total available load share combination corresponding to the second system COP that meets the preset conditions is determined as the optimal load share combination of multiple energy sources in the preset heating time period.

[0080] In the case where there is no second system COP that meets the preset conditions, all total available load proportion combinations are screened, and the total available load proportion combination corresponding to the lowest second operating cost is removed. Based on the remaining total available load proportion combinations, the lowest second operating cost is repeatedly solved, the optimal economic performance value of the multi-energy coupling heating system is determined, and each second system COP is compared with the optimal economic performance value. It should be noted that in the process of repeated calculations, when comparing each second system COP with the optimal economic performance value, all second system COPs corresponding to all total available load proportion combinations are compared with the optimal economic performance value, rather than comparing all second system COPs corresponding to the remaining total available load proportion combinations with the latest determined optimal economic performance value. In addition, when repeating steps one to three, if there is no second system COP that meets the preset conditions, continue to reread steps one to three until there is a second system COP that meets the preset price adjustment.

[0081] Optionally, in an embodiment of the present application, the preset condition is that the COP of the second system is greater than or equal to the optimal value of economic performance.

[0082] Figure 2 This is a logic diagram of a method for determining the energy combination form of a multi-energy coupling heating system according to a preferred embodiment of the present application. Figure 2 , taking a new office building project as an example, the method provided in the implementation mode of this application is exemplarily introduced.

[0083] The energy combination of the multi-energy coupling heating system can be divided into two ways: multiple renewable energy coupling heating or multiple renewable energy and some traditional energy coupling heating to meet the total load demand of the building. It is necessary to comprehensively determine the energy combination of the multi-energy coupling heating system as one of the above two ways based on the project characteristics and the energy endowment of the region.

[0084] In this implementation, different energy types (type 1, type 2) are involved in the economic performance correlation evaluation CEPE, and multiple energy sources jointly bear the total energy consumption of the building. Type 1 refers to renewable energy, and type 2 refers to other energy sources. Considering the characteristics of renewable energy (for example, medium and deep layers) heating, high initial investment, and large fluctuations in building loads, other energy coupling heating methods are used to jointly bear the total winter heating load of the building; among them, renewable energy bears the system power consumption and hourly electricity price required for the basic load of the building, and other energy bears the heat and heat price required by other energy during the peak load demand period. Further combined with factors such as renewable energy sustainability and operational economy, the CEPE mathematical model of economic performance correlation evaluation of multi-energy coupling heating system is jointly determined.

[0085] By proposing the concept of economic performance correlation evaluation CEPE, that is, how to reasonably configure the important evaluation index of the proportion of renewable energy heating installed capacity in the coupled heating mode, the heating scheme that adopts traditional heating forms to adjust the peak load demand during the peak load demand period is achieved on the basis of the renewable energy heating system meeting the basic load of the building, and the multi-energy coupled heating concept is adopted to further achieve the low-carbon economic operation of the system. The technical solution provided by the implementation method of this application can achieve maximum economic efficiency while ensuring the maximum saving of operating costs.

[0086] In this implementation, the total energy consumption of the building, the price of the reference basic energy Pr 参照基础能源 , the electricity price of renewable energy and the heat price of other energy sources are known.

[0087] In this implementation, it is assumed that the multiple energy sources include three energy sources, namely E1, E2, and E3. According to the characteristics of the project, the multiple energy forms available and the corresponding installed capacity ratios are determined. That is, it is determined what E1, E2, and E3 are and the installed capacity ratio of each renewable energy source. Among them, the installed capacity ratio can be determined based on a variety of conditions such as local policies, project characteristics, and the endowment and application of renewable energy in the project area.

[0088] Determine whether multiple energy sources are renewable energy.

[0089] In the case where multiple energy sources are renewable energy sources, the following is performed. For example, the three renewable energy sources are medium-deep geothermal, air source, and sewage source.

[0090] For each moment, the available load ratio combination is determined according to the installed capacity ratio. Assuming that the installed capacity ratios of the three renewable energy sources are A%, B%, and C%, respectively, at a certain moment, the three renewable energy sources bear the building load ratio in working condition K, and the ratios are a, K %、b K %、c K %, among which (a K %+b K %+c K %=1,working condition K=1,2,3……). In other words, the available load proportion combination at the moment corresponding to working condition K is a K %、b K %、c K %; there are multiple working conditions at each moment. Specifically, in the implementation mode of the present application, for each renewable energy source, the available load proportion at the moment can be determined according to the installed capacity proportion based on the following content to determine the available load proportion combination at the moment. The installed capacity of the renewable energy source is determined according to the installed capacity proportion and the demand at the peak moment of the building. Based on the principle that the load determined in combination with the available load proportion at the moment is less than the installed capacity, the available load proportion at the moment is determined.

[0091] For each moment, determine the optimal load ratio combination at that moment. Specifically, for any moment, refer to the following content to determine the optimal load ratio combination at that moment.

[0092] For working condition K(a K %+b K %+c K %, such as 80%+10%+10%), combined with formula 1, determine the heat consumption of each energy source. For each energy source, combine formula 2 to determine the power consumption. In other words, for each operating condition K at any time, determine the heat consumption and power consumption of each energy source. It should be noted that when multiple energy sources are renewable energy, the sum of the heat consumption of renewable energy sources is the total energy consumption of the building.

[0093] For each operating condition K (equivalent to the available load ratio combination at the moment), add the heat consumption of all energy sources to obtain the total heat consumption, add the power consumption of all energy sources to obtain the total power consumption, and divide the total heat consumption by the total power consumption to obtain the first system COP. Compare the first system COPs corresponding to all operating conditions to determine the maximum first system COP. Among them, the operating condition corresponding to the maximum first system COP is the optimal load ratio combination at that moment. Specifically, all operating conditions are sorted, and the first system COPs of two operating conditions with adjacent serial numbers are randomly selected for comparison. For example, serial numbers i and j, and i is less than j. If the first system COP of operating condition i is greater than or equal to the first system COP of operating condition j, execute j=j+1; if the first system COP of operating condition i is less than the first system COP of operating condition j, execute i=i-1. Until the maximum value of the first system COPs corresponding to all operating conditions is found.

[0094] Based on the optimal load ratio combination at each moment, the optimal load ratio combination of multiple energy sources in the preset heating time period is determined to determine the energy combination form of the multi-energy coupling heating system.

[0095] In the case that multiple energy sources are not renewable energy, in other words, when there are other energy sources besides renewable energy among multiple energy sources, the following contents shall be implemented. For example, the three energy sources are medium-deep geothermal, air source and gas boiler. In addition, the basic energy electricity price Pr is determined according to the characteristics of the project (existing project transformation, new project, optimized operation project). 参照基础能源 For new construction scenarios, please refer to the gas unit price of new projects. i At this moment, the building energy consumption is Q 建筑总能耗 , the price of electricity for medium and deep geothermal 电 , the electricity price of air source Pr 电, the heat price Pr of the gas boiler is a known data. In addition, considering that the proportion of renewable energy in the coupled heating in the building area is not less than 60%, it is assumed that the two renewable energy sources (type 1) are configured according to 60% of the installed capacity, and the remaining 40% is supplemented by traditional energy (type 2). The installed capacity proportion in other regions can be determined based on a variety of conditions such as local policies, project characteristics, and the endowment and application of renewable energy in the project area.

[0096] For each moment, the available load ratio combination is determined according to the energy heat consumption and operating cost. In other words, for each moment, the possible operating conditions are determined according to the energy heat consumption and operating cost.

[0097] Generally, there are the following formulas 1, 2 and 5, among which formula 5:

[0098] W 11 ×Pr 11 +W 12 ×Pr 12 +…+W 1i ×Pr 1i +…+W 1n ×Pr 1n +Q 21 ×Pr 21 +Q 22 ×Pr 22 +…+Q 2i ×Pr 2i +…+Q 2n ×Pr 2n ≤Q 建筑总能耗 ×Pr 参照基础能源 .

[0099] Under different time t i Due to the change of building load, at a single moment, the building load may be less than the peak load of the building, that is, the proportion of a single energy or several energy sources in the building load may change, that is, the proportion of multiple energy types in the building load is not a fixed value, and there are multiple energy types. i , bear the phenomenon that the building load is less than the building peak load, that is, when the equipment is running at partial load, Q′ 建筑总能耗 <Q 建筑总能耗 Then Formula 1 and Formula 5 can be rewritten as:

[0100] Formula 6:

[0101] Q 种类1 +Q 种类2 =Q′ 建筑总能耗 <Q 建筑总能耗

[0102] Q11 +Q 12 +…+Q 1i +…+Q 1n =Q 种类1

[0103] Q 21 +Q 22 +…+Q 2i +…+Q 2m =Q 种类2

[0104] Formula 7: W 11 ×Pr 11 +W 12 ×Pr 12 +…+W 1i ×Pr 1i +…+W 1n ×Pr 1n +Q 21 ×Pr 21 +Q 22 ×Pr 22 +…+Q 2i ×Pr 2i +…+Q 2n ×Pr 2n <Q′ 建筑总能耗 ×Pr 参照基础能源 .

[0105] According to Formula 6 and Formula 7, for each moment, the available load proportion combination is determined.

[0106] At a certain moment t i There are many combinations of energy type 1 and energy type 2 with different load proportions that can meet the requirements of formula 6. For example, Q 种类1 =70%Q′ 建筑总能耗 , Q 种类2 =30Q′ 建筑总能耗 For another example, Q 种类1 =100%Q′ 建筑总能耗 , Q 种类2 =0%Q′ 建筑总能耗 Etc. Among them, energy type 1 heat consumption Q 种类1 This refers to the sum of the heat consumption of two renewable energy sources (medium-deep geothermal and air sources, and can also refer to multiple sources depending on the actual project situation). i The heat consumption of the two renewable energy sources can be expressed as Q 11 and Q 12 Among them, Q 11 +Q 12 =Q 种类1 That is, at a certain time t i , Q 11 , Q12 and Q 种类2 The change in the proportion of the total building load. For example, Q 11 =40%Q′ 建筑总能耗 , Q 12 =30%Q′ 建筑总能耗 , Q 种类2 =30%Q′ 建筑总能耗 For another example, Q 11 =50%Q′ 建筑总能耗 , Q 12 =50%Q′ 建筑总能耗 , Q 种类2 =0%Q′ 建筑总能耗 It should be noted that, in the implementation of the present application, the available load ratio combination at the moment needs to satisfy both Formula 6 and Formula 7. In addition, in the implementation of the present application, Q′ 建筑总能耗 is known.

[0107] Based on the available load proportion combination corresponding to each moment, the total available load proportion combination of multiple energy sources in the preset heating time period is determined.

[0108] For each total available load ratio combination, determine the second system COP and the second operating cost of the multi-energy coupling heating system. Compare the second operating costs corresponding to all total available load ratio combinations to determine the lowest second operating cost. Based on the total available load ratio combination corresponding to the lowest second operating cost, combined with the preset economic performance calculation formula, determine the optimal value of the economic performance of the multi-energy coupling heating system. For details, please refer to the relevant introduction in the above implementation mode.

[0109] Each second system COP is compared with the economic performance optimum value to determine whether there is a second system COP that satisfies a preset condition.

[0110] In the case of having a second system COP that meets the preset conditions, the total available load proportion combination corresponding to the second system COP that meets the preset conditions is determined as the optimal load proportion combination of multiple energy sources in the preset heating time period.

[0111] In the case of a second system COP that does not meet the preset conditions, the total available load ratio combination corresponding to the lowest second operating cost is removed, and the lowest second operating cost is re-determined. For how to re-determine the lowest second operating cost, please refer to the relevant introduction of the first determination of the lowest second operating cost. The re-determined lowest second operating cost replaces the last determined lowest second operating cost and compares it with all the second system COPs. Based on the re-determined lowest second operating cost and all the second system COPs, it is determined whether there is a second system COP that meets the preset conditions. If it exists, the total available load ratio combination corresponding to the second system COP that meets the preset conditions is determined as the optimal load ratio combination of multiple energy sources in the preset heating time period. If there is still no second system COP that meets the preset conditions, the total available load ratio combination corresponding to the re-determined lowest second operating cost is removed, the lowest second operating cost is re-determined again, and the re-determined second operating cost is compared with all the second system COPs again. This cycle is repeated until the second system COP that meets the preset conditions is found. Among them, the preset condition is that the second system COP is greater than or equal to the optimal value of economic performance.

[0112] In the implementation mode of the present application, the system power consumption required for renewable energy (such as medium and deep geothermal systems) to bear the basic load of the building, the hourly electricity price, and the heat required by other energy sources during the peak load demand period, and the heat price are comprehensively considered at each moment, and the definition of economic performance correlation evaluation CEPE, that is, Formula 4, can be obtained. In addition, in the implementation mode of the present application, when multi-energy coupling heating is adopted, it is assumed that renewable energy and other energy sources jointly bear the total load demand of the building (Formula 5, Formula 1), with the goal of maximizing the savings in system operating costs, that is, the minimum heating cost of coupling heating of renewable energy (type 1) and other energy sources (type 2) (Formula 3), to determine the optimal value of economic performance correlation evaluation CEPE. In addition, in the implementation mode of the present application, the total energy consumption of the building, the electricity price and the heat price are known.

[0113] In the implementation mode of the present application, the coupled heating concept is adopted, and renewable energy and other energy sources jointly bear the total winter load demand of the building. The system power consumption required for renewable energy to bear the basic load of the building, the hourly electricity price at each moment, and the heat required by other energy sources during peak load demand periods and the impact of heat prices are comprehensively considered. In order to save the system operating costs to the maximum extent, that is, to minimize the cost of coupled heating with renewable energy and other energy sources, a CEPE mathematical model of economic performance correlation evaluation is established as the goal. This is used as a guiding basis and evaluation indicator for the proportion of system coupled heating in the actual operation process, and finally the operation strategy of the multi-energy coupled heating system is determined.

[0114] Through the technical solution provided in the implementation mode of the present application, it is possible to achieve: 1) Stable heating by coupling renewable energy with other energy sources, so that the sustainability of renewable energy heating is further improved; 2) Taking into account the actual needs of the building, the coupled heating system provides heating on demand to avoid energy waste; 3) The load proportion of the coupled energy can be adjusted in combination with actual needs and must meet relevant policy requirements; 4) With the goal of maximizing the savings in the actual operating costs of the system, the economic performance correlation evaluation CEPE of different load rates is determined, and the heating proportion of renewable energy and traditional energy is coupled based on the economic performance correlation evaluation CEPE to achieve maximum energy-saving operation; 5) In order to improve the intelligent management and control means of renewable energy utilization, a theoretical basis is provided for realizing efficient, low-carbon, energy-saving and economic operation strategies; 6) It can guide the social application of renewable energy (such as medium and deep geothermal resources) in medium and low quality areas; 7) The economic performance correlation evaluation CEPE is proposed, which realizes the evaluation of the multi-energy coupled heating system based on system economy and system performance, and provides an economic evaluation method for the multi-energy coupled heating system.

[0115] The technical solution provided in the implementation mode of this application is to determine the energy combination form of the multi-energy coupling heating system when the installed capacity ratio is determined. When the installed capacity ratio changes, the technical solution described in the above implementation mode is repeated to determine the energy combination form of the multi-energy coupling heating system. For example, the installed capacity ratio of renewable energy can be further adjusted in combination with various conditions such as local policies, project characteristics, and renewable energy endowment and application conditions in the project area.

[0116] In a second aspect, an embodiment of the present application also provides a device for determining the energy combination form of a multi-energy coupling heating system.

[0117] Figure 3 FIG. 1 is a structural block diagram of a device for determining the energy combination form of a multi-energy coupling heating system according to a preferred embodiment of the present application. Figure 3 As shown, the device includes a module 1 for determining a combination of available load proportions at a given moment and a module 2 for determining an optimal load proportion combination.

[0118] The module 1 for determining the momentary available load proportion combination is used to determine the momentary available load proportion combination of multiple energy sources used in the multi-energy coupling heating system for each moment within the preset heating time period, wherein, for any moment within the preset heating time period, the momentary available load proportion combination is the load proportion combination of multiple energy sources that can be used at that moment, and the load proportion combination includes the load proportion of each of the multiple energy sources, and the multiple energy sources include at least renewable energy.

[0119] The optimal load proportion combination determination module 2 is used to determine the optimal load proportion combination of multiple energy sources in the preset heating time period based on the available load proportion combination corresponding to each moment, with the goal of minimizing the operating cost of the multi-energy coupling heating system, so as to determine the energy combination form of the multi-energy coupling heating system.

[0120] Optionally, in an embodiment of the present application, based on the available load share combination corresponding to each moment, with the goal of minimizing the operating cost of the multi-energy coupling heating system, the optimal load share combination of multiple energy sources in a preset heating time period is determined, including: when multiple energy sources are all renewable energy sources, for each moment, the optimal load share combination is determined based on the available load share combination, and the optimal load share combination of multiple energy sources in the preset heating time period is determined based on the optimal load share combination at each moment, so as to determine the energy combination form of the multi-energy coupling heating system, wherein, for any moment, the optimal load share combination at the moment is the load share combination that minimizes the operating cost of the multi-energy coupling heating system at that moment; and / or when multiple energy sources are not all renewable energy sources, based on the available load share combination corresponding to each moment, the total available load share combination of multiple energy sources in the preset heating time period is determined, and based on the determined total available load share combination, with the goal of minimizing the operating cost of the multi-energy coupling heating system, the optimal load share combination of multiple energy sources in the preset heating time period is determined to determine the energy combination form of the multi-energy coupling heating system.

[0121] Optionally, in an embodiment of the present application, for any moment, determining the optimal load share combination at that moment based on the available load share combination at that moment includes: determining the first operating cost of the multi-energy coupling heating system for each available load share combination at that moment; and comparing the first operating costs corresponding to the available load share combinations at all moments to determine the lowest first operating cost, wherein the available load share combination at that moment corresponding to the lowest first operating cost is the optimal load share combination at that moment.

[0122] Optionally, in an embodiment of the present application, for any moment, determining the optimal load share combination at that moment based on the available load share combination at that moment includes: determining the first system COP of the multi-energy coupling heating system for each available load share combination at that moment; comparing the first system COPs corresponding to the available load share combinations at all moments to determine the maximum first system COP, wherein the available load share combination at that moment corresponding to the maximum first system COP is the optimal load share combination at that moment.

[0123] Optionally, in an embodiment of the present application, based on the determined total available load share combination, with the goal of minimizing the operating cost of the multi-energy coupling heating system, the optimal load share combination of multiple energy sources in a preset heating time period is determined, including: for each total available load share combination, determining the second system COP and the second operating cost of the multi-energy coupling heating system; based on the determined second system COP and the second operating cost, with the goal of minimizing the operating cost of the multi-energy coupling heating system, determining the optimal load share combination of multiple energy sources in the preset heating time period.

[0124] Optionally, in an embodiment of the present application, based on the determined second system COP and the second operating cost, with the goal of minimizing the operating cost of the multi-energy coupling heating system, the optimal load proportion combination of multiple energy sources in a preset heating time period is determined, including: step one, comparing the second operating costs corresponding to all total available load proportion combinations to determine the lowest second operating cost; step two, based on the total available load proportion combination corresponding to the lowest second operating cost, combined with a preset economic performance calculation formula, determining the optimal economic performance value of the multi-energy coupling heating system; step three, comparing each second system COP with the optimal economic performance value to determine whether there is a second system COP that meets the preset conditions; step four, In the case of having a second system COP that meets the preset conditions, determine the optimal load share combination of multiple energy sources in the preset heating time period based on the total available load share combination corresponding to the second system COP that meets the preset conditions; Step five, in the case of not having a second system COP that meets the preset conditions, based on all the total available load share combinations minus the total available load share combination corresponding to the lowest second operating cost, repeat steps one to three until the second system COP that meets the preset conditions is determined, and the total available load share combination corresponding to the second system COP that meets the preset conditions is determined as the optimal load share combination of multiple energy sources in the preset heating time period.

[0125] The specific working principle and benefits of the device for determining the energy combination form of a multi-energy coupling heating system provided in the embodiment of the present application are similar to the specific working principle and benefits of the method for determining the energy combination form of a multi-energy coupling heating system provided in the embodiment of the present application, and will not be repeated here.

[0126] In a third aspect, an embodiment of the present application further provides a machine-readable storage medium, on which instructions are stored, and when the instructions are executed by a processor, the processor is configured to execute the steps of the method described in the above embodiment.

[0127] The preferred embodiments of the present application are described in detail above; however, the present application is not limited to the specific details in the above embodiments. Within the technical concept of the present application, a variety of simple modifications can be made to the technical solution of the present application, and these simple modifications all fall within the protection scope of the present application.

[0128] It should also be noted that the various specific technical features described in the above specific embodiments can be combined in any suitable manner without contradiction. In order to avoid unnecessary repetition, this application will not further describe various possible combinations.

[0129] In addition, the various implementation modes of the present application may be arbitrarily combined, and as long as they do not violate the concept of the present application, they should also be regarded as the contents disclosed by the present invention.

Claims

1. A method for determining the energy combination form of a multi-energy coupling heating system, It is characterized in that The method includes: For each moment in the preset heating time period, determine the moment available load proportion combination of multiple energy sources used in the multi-energy coupling heating system, wherein for any moment in the preset heating time period, the moment available load proportion combination is the load proportion combination of the multiple energy sources that can be used at that moment, and the load proportion combination includes the load proportion of each energy source in the multiple energy sources, and the multiple energy sources at least include renewable energy; Based on the available load proportion combination corresponding to each moment, with the goal of minimizing the operating cost of the multi-energy coupling heating system, the optimal load proportion combination of the multiple energy sources in the preset heating time period is determined to determine the energy combination form of the multi-energy coupling heating system.

2. The method according to claim 1, It is characterized in that Based on the available load proportion combination corresponding to each moment, with the goal of minimizing the operating cost of the multi-energy coupling heating system, determining the optimal load proportion combination of the multiple energy sources in the preset heating time period, including: In the case where the multiple energy sources are all renewable energy sources, the optimal load share combination at each moment is determined based on the available load share combination at that moment, and the optimal load share combination of the multiple energy sources in the preset heating time period is determined based on the optimal load share combination at each moment, so as to determine the energy combination form of the multi-energy coupling heating system, wherein, for any moment, the optimal load share combination at that moment is the load share combination that makes the operation cost of the multi-energy coupling heating system the lowest at that moment; and / or In the case that the multiple energy sources are not all renewable energy sources, the total available load share combination of the multiple energy sources in the preset heating time period is determined based on the available load share combination corresponding to each moment, and based on the determined total available load share combination, with the goal of minimizing the operating cost of the multi-energy coupling heating system, the optimal load share combination of the multiple energy sources in the preset heating time period is determined to determine the energy combination form of the multi-energy coupling heating system.

3. The method according to claim 2, It is characterized in that For any moment, determining the optimal load proportion combination at the moment based on the available load proportion combination at the moment includes: Determining a first operating cost of the multi-energy coupling heating system for each available load proportion combination at the moment; and The first operating costs corresponding to the available load proportion combinations at all moments are compared to determine the lowest first operating cost, wherein the available load proportion combination at the moment corresponding to the lowest first operating cost is the optimal load proportion combination at the moment.

4. The method according to claim 2, It is characterized in that For any moment, determining the optimal load proportion combination at the moment based on the available load proportion combination at the moment includes: Determine the first system COP of the multi-energy coupling heating system for each available load proportion combination at the moment; The first system COPs corresponding to the available load proportion combinations at all moments are compared to determine the maximum first system COP, wherein the available load proportion combination at the moment corresponding to the maximum first system COP is the optimal load proportion combination at the moment.

5. The method according to claim 2, It is characterized in that Based on the determined total available load proportion combination, with the goal of minimizing the operating cost of the multi-energy coupling heating system, determining the optimal load proportion combination of the multiple energy sources in the preset heating time period, including: For each total available load proportion combination, determining a second system COP and a second operating cost of the multi-energy coupling heating system; Based on the determined second system COP and second operating cost, with the goal of minimizing the operating cost of the multi-energy coupling heating system, the optimal load proportion combination of the multiple energy sources in the preset heating time period is determined.

6. The method according to claim 5, It is characterized in that Based on the determined second system COP and the second operating cost, with the goal of minimizing the operating cost of the multi-energy coupling heating system, determining the optimal load ratio combination of the multiple energy sources in the preset heating time period, including: Step 1: Compare the second operating costs corresponding to all total available load proportion combinations to determine the lowest second operating cost; Step 2: Based on the total available load proportion combination corresponding to the second lowest operating cost and in combination with a preset economic performance calculation formula, determine the optimal economic performance value of the multi-energy coupling heating system; Step 3: Compare each second system COP with the optimal value of economic performance to determine whether there is a second system COP that meets a preset condition; Step 4: in the case of having a second system COP that satisfies the preset condition, determining the optimal load proportion combination of the multiple energy sources in the preset heating time period based on the total available load proportion combination corresponding to the second system COP that satisfies the preset condition; Step 5. In the absence of a second system COP that meets the preset conditions, repeat steps 1 to 3 based on the total available load proportion combinations remaining after removing the total available load proportion combination corresponding to the lowest second operating cost from all total available load proportion combinations until a second system COP that meets the preset conditions is determined, and the total available load proportion combination corresponding to the second system COP that meets the preset conditions is determined as the optimal load proportion combination of the multiple energy sources in the preset heating time period.

7. A device for determining the energy combination form of a multi-energy coupling heating system, It is characterized in that The device includes: A moment available load proportion combination determination module is used to determine the moment available load proportion combination of multiple energy sources used in the multi-energy coupling heating system for each moment in a preset heating time period, wherein for any moment in the preset heating time period, the moment available load proportion combination is the load proportion combination of the multiple energy sources that can be used at that moment, and the load proportion combination includes the load proportion of each energy source in the multiple energy sources, and the multiple energy sources at least include renewable energy; The optimal load proportion combination determination module is used to determine the optimal load proportion combination of the multiple energy sources in the preset heating time period based on the available load proportion combination corresponding to each moment, with the goal of minimizing the operating cost of the multi-energy coupling heating system, so as to determine the energy combination form of the multi-energy coupling heating system.

8. The device according to claim 7, It is characterized in that Based on the available load proportion combination corresponding to each moment, with the goal of minimizing the operating cost of the multi-energy coupling heating system, determining the optimal load proportion combination of the multiple energy sources in the preset heating time period, including: In the case where the multiple energy sources are all renewable energy sources, the optimal load share combination at each moment is determined based on the available load share combination at that moment, and the optimal load share combination of the multiple energy sources in the preset heating time period is determined based on the optimal load share combination at each moment, so as to determine the energy combination form of the multi-energy coupling heating system, wherein, for any moment, the optimal load share combination at that moment is the load share combination that makes the operation cost of the multi-energy coupling heating system the lowest at that moment; and / or In the case that the multiple energy sources are not all renewable energy sources, the total available load share combination of the multiple energy sources in the preset heating time period is determined based on the available load share combination corresponding to each moment, and based on the determined total available load share combination, with the goal of minimizing the operating cost of the multi-energy coupling heating system, the optimal load share combination of the multiple energy sources in the preset heating time period is determined to determine the energy combination form of the multi-energy coupling heating system.

9. The device according to claim 8, It is characterized in that For any moment, determining the optimal load proportion combination at the moment based on the available load proportion combination at the moment includes: Determining a first operating cost of the multi-energy coupling heating system for each available load proportion combination at the moment; and The first operating costs corresponding to the available load proportion combinations at all moments are compared to determine the lowest first operating cost, wherein the available load proportion combination at the moment corresponding to the lowest first operating cost is the optimal load proportion combination at the moment.

10. The device according to claim 8, It is characterized in that For any moment, determining the optimal load proportion combination at the moment based on the available load proportion combination at the moment includes: Determine the first system COP of the multi-energy coupling heating system for each available load proportion combination at the moment; The first system COPs corresponding to the available load proportion combinations at all moments are compared to determine the maximum first system COP, wherein the available load proportion combination at the moment corresponding to the maximum first system COP is the optimal load proportion combination at the moment.

11. The device according to claim 8, It is characterized in that Based on the determined total available load proportion combination, with the goal of minimizing the operating cost of the multi-energy coupling heating system, determining the optimal load proportion combination of the multiple energy sources in the preset heating time period, including: For each total available load proportion combination, determining a second system COP and a second operating cost of the multi-energy coupling heating system; Based on the determined second system COP and second operating cost, with the goal of minimizing the operating cost of the multi-energy coupling heating system, the optimal load proportion combination of the multiple energy sources in the preset heating time period is determined.

12. The device according to claim 11, It is characterized in that Based on the determined second system COP and the second operating cost, with the goal of minimizing the operating cost of the multi-energy coupling heating system, determining the optimal load ratio combination of the multiple energy sources in the preset heating time period, including: Step 1: Compare the second operating costs corresponding to all total available load proportion combinations to determine the lowest second operating cost; Step 2: Based on the total available load proportion combination corresponding to the second lowest operating cost and in combination with a preset economic performance calculation formula, determine the optimal economic performance value of the multi-energy coupling heating system; Step 3: Compare each second system COP with the optimal value of economic performance to determine whether there is a second system COP that meets a preset condition; Step 4: in the case of having a second system COP that satisfies the preset condition, determining the optimal load proportion combination of the multiple energy sources in the preset heating time period based on the total available load proportion combination corresponding to the second system COP that satisfies the preset condition; Step 5. In the absence of a second system COP that meets the preset conditions, repeat steps 1 to 3 based on the total available load proportion combinations remaining after removing the total available load proportion combination corresponding to the lowest second operating cost from all total available load proportion combinations until a second system COP that meets the preset conditions is determined, and the total available load proportion combination corresponding to the second system COP that meets the preset conditions is determined as the optimal load proportion combination of the multiple energy sources in the preset heating time period.

13. A machine-readable storage medium, It is characterized in that The machine-readable storage medium stores instructions, which, when executed by a processor, cause the processor to be configured to perform the steps of the method according to any one of claims 1 to 6.

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