Multi-energy coupling normalization model construction method and system and medium

Abstract

The invention discloses a multi-energy coupling normalization model construction method and system and a medium, and belongs to the technical field of energy management, and the method comprises the steps: S1, selecting an independent reference value for constructing a multi-energy coupling normalization model, setting parameters, obtaining an actual value corresponding to each parameter, carrying out the normalization of the actual values based on the reference value and the actual values, and obtaining a normalized model; obtaining a normalized value of each parameter; s2, establishing an initial target model by taking the minimum comprehensive energy cost as a target, and generating a multi-energy coupling normalized initial model in combination with the normalized values of the parameters in the step S1 and the initial target model; s3, dynamic balance factors of the heat supply network and the water return network are calculated; and S4, correcting the multi-energy coupling normalization initial model based on the dynamic balance factor to obtain a multi-energy coupling normalization model. Various physical quantities in the electric power system, the thermal power system and the natural gas system are unified and normalized to the same dimension, and therefore unified modeling of the electric power system, the thermal power system and the natural gas system is achieved.

Description

Technical Field

[0001] The present invention belongs to the technical field of energy management, and in particular relates to a method, system and medium for constructing a multi-energy coupling normalization model. Background Art

[0002] With the continuous development of energy systems, integrated energy systems have gradually become a hot topic in research and application. Integrated energy systems achieve efficient utilization and complementarity of energy by integrating multiple energy forms such as electricity and heat. In modern energy systems, the integration of multiple energy sources in integrated energy systems (IES) is a key link in achieving efficient energy utilization and is of great significance to promoting energy transformation.

[0003] In the existing technology, the power system widely adopts the normalization method to improve the calculation efficiency by normalizing parameters such as voltage and power. The normalization system normalizes the physical quantities of different dimensions such as voltage, current and power in the power system to a unified dimension, achieving numerical consistency and simplified calculation. It has significant advantages in power system analysis, such as improving the numerical stability of power flow calculation and facilitating the adjustment of controller parameters.

[0004] However, the existing normalization system is mainly used in the power industry. For IES, since it involves multiple different physical systems such as electricity, heat, and natural gas, and the parameters of each system vary greatly, the existing normalization system cannot be directly applied to the modeling and optimization of IES. When dealing with IES, the existing modeling methods often need to model the power, heat, and natural gas systems separately and then couple them. This method not only has high computational complexity, but also makes it difficult to intuitively reflect the operating status of the entire system, which is not conducive to the global optimization and real-time monitoring of the system. Traditional normalization is only applicable to a single energy system and cannot solve the following problems: Cross-system parameter coupling: The temperature and pressure of the heat supply / return water of the thermal and natural gas systems and the gas supply network vary significantly (the pressure is usually in the megapascal level and the temperature is usually tens of degrees Celsius), and a single normalization benchmark causes normalization failure; High model complexity: The electricity-heat-gas system needs to be modeled separately and then coupled, which is computationally redundant and difficult to reflect the global state; Variable flow mode limitations: Traditional methods are difficult to handle the strong coupling constraints of flow-temperature, and are prone to fall into local optimality or fail to converge. Summary of the invention

[0005] In view of the problems in the prior art, the present invention provides a method, system and medium for constructing a multi-energy coupling normalization model, which solves the problems of computational redundancy, difficulty in reflecting the global state, and easy falling into local optimality or failure to converge when normalizing multiple energy systems separately in the prior art integrated energy system.

[0006] The technical solution adopted by the present invention is as follows: In a first aspect, the present application provides a method for constructing a multi-energy coupling normalization model, comprising the following steps: Step S1, selecting an independent reference value for constructing a multi-energy coupling normalized model and setting parameters, obtaining actual values ​​corresponding to each parameter, and normalizing the actual values ​​based on the reference value and the actual value to obtain normalized values ​​of each parameter; Step S2, establishing an initial target model with the goal of minimizing the comprehensive energy cost, and generating a multi-energy coupling normalized initial model by combining the normalized values ​​of each parameter in step S1 with the initial target model; Step S3, calculating the dynamic balance factor of the heating network and the return water network; Step S4: correcting the multi-energy coupling normalized initial model based on the dynamic balance factor to obtain a multi-energy coupling normalized model.

[0007] Preferably, in step S1, the reference values ​​include independent reference values ​​and derived reference values, and the selected independent reference values ​​are: power S, voltage square value V, mass flow rate m, thermal water supply temperature T S , Thermal return water temperature T R , Thermal water supply pressure P S , Thermal return water pressure P R , natural gas temperature T G , natural gas pressure P G ; The derived benchmark value calculation formula is as follows:

[0008] Where Z is impedance, I is the square of current, and T loss is the thermal temperature loss factor, c is the specific heat capacity, is the thermal pipeline friction factor, Г is the thermal heat exchanger friction factor, ρ is the thermal water density, Ω is the natural gas pressure constant, and κ is the natural gas temperature constant.

[0009] Preferably, in step S2, the initial target model is expressed as:

[0010] Among them, C is the amount of coal, G is the amount of natural gas, is the price of coal per unit, is the price per unit of natural gas; Establish constraints in the initial target model: Grid side: including node power balance, voltage / current limit, and line flow constraints, expressed as:

[0011] in, is the active power of node j at time t, is the active power flowing from node j to node k, is the active power flowing from node i to node j, is the resistance of the line connecting nodes i and j, is the square of the current value of the line connecting nodes i and j at time t, and is the set of nodes that flow power from node j. is the set of nodes that have power flowing to node j; is the reactive load of node j at time t, is the reactive power flowing from node j to node k, is the reactive power flowing from node i to node j, is the reactance of the line connecting nodes i and j; is the square of the voltage value of node i at time t, is the square of the voltage value of node j at time t; is the lower limit of the voltage square value; is the upper limit of the voltage square value; is the maximum square value of the current on line ij; is the active power generated by node j consuming coal at time t, is the active power generated by node j consuming natural gas at time t, is the active load of node j at time t; is the reactive power generated by node j consuming coal at time t, is the reactive power generated by node j consuming natural gas at time t, is the reactive load of node j at time t; is the lower limit of the active power generated by the generator at node j through coal at time t, is the upper limit of the active power generated by the generator at node j through coal at time t, is the lower limit of the active power generated by the generator at node j through natural gas at time t, is the upper limit of the active power generated by the generator at node j through natural gas at time t; is the lower limit of the reactive power generated by the generator at node j through coal at time t, is the upper limit of the reactive power generated by the generator at node j through coal at time t, is the lower limit of the reactive power generated by the generator at node j through natural gas at time t, is the upper limit of the reactive power generated by the generator at node j through natural gas at time t; Heating network side: including mass flow conservation, temperature-pressure coupling equation, and heat exchanger efficiency constraint, expressed as:

[0012] in, are the injected water mass flow rate and the outflow water mass flow rate of node k at time t, They are the water mass flow rate of the pipeline from node k to node l at time t, and the water mass flow rate of the pipeline from node j to node k at time t; The flow of water between nodes in the heating pipeline is driven by pressure. The pressure difference between the nodes determines the mass flow rate in the pipeline. are the pressure magnitudes of water supply pipeline nodes k and l at time t, represents the friction factor of the pipeline kl, represents the water mass flow rate in pipeline kl at time t; are the pressure magnitudes of the return pipe nodes k and l at time t, represents the friction factor of the pipeline lk, represents the water mass flow rate in pipeline lk at time t; are the pressure of node k in the supply and return network at time t, is the pipeline friction factor; is the heat exchanged; the upper and lower limits of the mass flow rate of the water flowing through the pipe, are the lower and upper limits of the mass flow rate of water passing through the pipe; The upper and lower limits on the mass flow rate of water flowing into and out of the node are: are the lower and upper limits of mass flow rate, respectively; are the lower and upper limits of the pressure at the heating node k, are the lower and upper limits of the pressure at the return node k respectively; are the lower and upper limits of the temperature of the heating node k, are the lower and upper limits of the temperature of the return water node k respectively; Gas network side: including temperature drop equation, flow conservation equation, pipeline pressure equation, expressed as:

[0013] , are the temperature and pressure of node i respectively; , are the temperatures of natural gas entering and leaving the pipeline, respectively; is the natural gas flow in the pipeline from node i to node j; l is the length of the natural gas pipeline, is the ambient (soil) temperature outside the pipeline, and are the temperatures of the natural gas entering and leaving the pipeline, respectively; are the natural gas injected at node i, the mass flow rate from node j to node i, the natural gas load at node i, and the natural gas mass flow rate from node i to node k; are the lower and upper limits of the natural gas mass flow rate of pipeline (i, j), respectively; are the lower and upper limits of the pressure at node i, respectively; The heat exchange equation is: ; The pressure balance equation of the water supply pipeline is: .

[0014] Preferably, in step S3, the normalized heat exchange equation is: ; The normalized water supply pipeline pressure balance equation is: ; in, is the normalized specific heat capacity, is the normalized mass flow rate, is the normalized thermal water supply temperature, is the normalized thermal return water temperature, is the normalized thermal water supply pressure, is the normalized thermal return water pressure, is the normalized water supply pipe friction factor.

[0015] Preferably, in step S4, the dynamic balance factor includes a temperature balance factor and pressure balance factor , ; The coupled heat exchange equation is: ; The pressure balance equation of the coupled water supply pipeline is: .

[0016] Preferably, in step S2, natural gas flows from node i to node j, and the natural gas pressure equation is:

[0017] in, is the temperature of node i, is the temperature of node j, is the pressure at node i, is the pressure at node j, The natural gas flow in the pipeline from node i to node j.

[0018] Preferably, the normalized natural gas pressure equation is:

[0019] in, is the normalized temperature of node i, is the normalized temperature of node j, is the normalized pressure of node i, is the normalized pressure at node j, The normalized natural gas flow rate of the pipeline from node i to node j, is the normalized natural gas pressure constant.

[0020] Preferably, in step S1, the calculation formula of the normalized value is: .

[0021] In a second aspect, the present application provides a multi-energy coupling normalized model construction system, comprising: A collection unit, used for collecting actual values; A calculation unit, used to calculate the derived reference value, normalized value, and dynamic balance factor; A first modeling unit, used for constructing an initial target model according to the independent benchmark value and the derived benchmark value; A second modeling unit is used to generate a multi-energy coupling normalized initial model according to the initial target model and the normalized value; The third modeling unit is used to generate a multi-energy coupling normalized model according to the normalized model and the dynamic balance factor.

[0022] In a third aspect, the present application provides a computer-readable storage medium, which includes a stored program, wherein when the program is running, the device where the computer-readable storage medium is located is controlled to execute the multi-energy coupling normalized model construction method described in the first aspect.

[0023] It can be seen from the above technical solutions that the present invention has the following advantages: 1. Normalization across systems: By introducing a global normalization method, the present invention can normalize various physical quantities (such as voltage, current, pressure, temperature, etc.) in power, thermal and natural gas systems to the same dimension, thereby realizing unified modeling of power, thermal and natural gas systems. This method is not only applicable to fixed flow modes, but can also flexibly handle complex optimization problems under variable flow modes.

[0024] 2. Improve numerical consistency and computational efficiency: The present invention normalizes various parameters and variables in the system, significantly reduces the difference in numerical ranges, and improves the numerical consistency and computational stability of the model. In solving the optimal energy flow (OEF) problem, the present invention can significantly reduce the number of computational iterations, reduce the solution time, and improve the solution efficiency.

[0025] 3. Enhanced status visualization: The present invention can uniformly model the IES, normalize the system's operating status to a value range close to 1, and intuitively reflect the system's operating conditions. For example, through the normalized temperature and pressure values, it is possible to quickly determine whether the heating and return water networks of the thermal system are in a normal operating state, which is convenient for real-time monitoring and fault diagnosis of the system.

[0026] 4. Model universality: By introducing auxiliary balance variables, the present invention can flexibly handle the temperature and pressure differences of different networks in the thermal system and adapt to various operation modes such as fixed flow and variable flow. Whether it is a linear optimization problem (such as the OEF problem in the fixed flow mode) or a nonlinear optimization problem (such as the OEF problem in the variable flow mode), the present invention can significantly improve the solution efficiency and ensure the accuracy and stability of the solution.

[0027] In summary, the unified normalization method for the integrated energy system of the present invention is significantly superior to the existing technology in terms of unified modeling framework, numerical consistency and computational efficiency, intuitiveness of system operation status, and adaptability to various operation modes and optimization problems, providing a more efficient, stable and intuitive modeling and optimization method for the integrated energy system integrating power and thermal systems. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] In order to more clearly illustrate the technical solution of the present invention, the accompanying drawings required for use in the description will be briefly introduced below. Obviously, the accompanying drawings in the following description are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0029] Figure 1 A flowchart of a construction method in an embodiment of a specific implementation mode of the present invention; Figure 2 It is a schematic diagram of the construction method in the specific implementation example of the present invention; Figure 3 It is a comparison diagram of the heating network status before and after normalization in an example of a specific implementation manner of the present invention. DETAILED DESCRIPTION

[0030] In the detailed description below, various embodiments of the present disclosure will be described more fully. The present disclosure may have various embodiments, and adjustments and changes may be made therein. However, it should be understood that there is no intention to limit the various embodiments of the present disclosure to the specific embodiments disclosed herein, but rather the present disclosure should be understood to cover all adjustments, equivalents and / or alternatives that fall within the spirit and scope of the various embodiments of the present disclosure.

[0031] The following is an explanation of some terms in this plan to facilitate a better understanding of this plan: 1. IES (Integrated Energy Systems) Integrated Energy System (IES) refers to a system that integrates multiple energy forms (such as electricity, heat, cold, gas, etc.) and energy storage and conversion facilities to achieve efficient energy utilization, interconnection and flexible scheduling through optimized management and control. It combines renewable energy, traditional energy and energy storage technology to meet challenges in energy supply, consumption and environmental impact. The integrated energy system emphasizes the coordinated scheduling and intelligent control of energy to achieve efficient, low-carbon and green development of energy and promote the modernization and sustainability of the energy system. The system is widely used in smart grids, distributed energy, microgrids and other fields, aiming to improve energy utilization, reduce costs and reduce greenhouse gas emissions.

[0032] 2. Independent benchmark value An independent reference value is a standard value selected during measurement or calculation that does not depend on any other variable or reference system and is independent by definition. It is usually a reference value obtained through experiments or high-precision measurement techniques, which serves as a benchmark for other related data. Independent reference values ​​are widely used in scientific research, engineering experiments, and standardized testing to ensure the comparability and consistency of different equipment and systems under the same conditions.

[0033] 3. Derived benchmark value A derived reference value is a reference value calculated from one or more independent reference values. In some cases, actual measurements may not be able to directly obtain certain reference values, so new derived reference values ​​are obtained through known independent reference values ​​and related formulas or derivation methods. This method is often used in the calibration process of multivariable measurements or complex systems. The accuracy of the derived reference value directly affects the reliability of the final result.

[0034] 4. Normalization Normalization refers to converting values ​​of different magnitudes or scales into a unified standardized value in some way, so that each data can be compared on the same scale. Common normalization methods include linearly mapping data to a specific interval (such as [0,1]), or normalizing by statistical methods such as subtracting the mean and dividing by the standard deviation. Normalization is widely used in data analysis, machine learning, signal processing and other fields. It can effectively eliminate the influence of dimension and improve the efficiency and accuracy of the model.

[0035] In view of the problems in the prior art, the present invention provides a method, system and medium for constructing a multi-energy coupling normalization model, which solves the problems of computational redundancy, difficulty in reflecting the global state, and easy falling into local optimality or failure to converge when normalizing multiple energy systems separately in the prior art integrated energy system.

[0036] Embodiment 1: The present invention aims at solving the problems in the prior art and provides a method for constructing a multi-energy coupling normalized model. Figure 1-3 As shown, the following steps are included: Step S1, selecting an independent reference value for constructing a multi-energy coupling normalized model and setting parameters, obtaining actual values ​​corresponding to each parameter, and normalizing the actual values ​​based on the reference value and the actual value to obtain normalized values ​​of each parameter; In step S1, the reference values ​​include independent reference values ​​and derived reference values. The selected independent reference values ​​are: power S, voltage square value V, mass flow rate m, thermal water supply temperature T S , Thermal return water temperature T R , Thermal water supply pressure P S , Thermal return water pressure P R , natural gas temperature T G , natural gas pressure P G ; The derived benchmark value calculation formula is as follows:

[0037] Where Z is impedance, I is the square of current, and T loss is the thermal temperature loss factor, c is the specific heat capacity, is the thermal pipeline friction factor, Г is the thermal heat exchanger friction factor, ρ is the thermal water density, Ω is the natural gas pressure constant, and κ is the natural gas temperature constant; In the process of normalizing the actual value, the formula is used: Perform calculations.

[0038] Step S2, establishing an initial target model with the goal of minimizing the comprehensive energy cost, and generating a multi-energy coupling normalized initial model by combining the normalized values ​​of each parameter in step S1 with the initial target model; The initial target model is expressed as:

[0039] Among them, C is the amount of coal, G is the amount of natural gas, is the price of coal per unit, is the price per unit of natural gas; The heat exchange equation is: ; The pressure balance equation of the water supply pipeline is: ; Create constraints: Grid side: including node power balance, voltage / current limit, and line flow constraints, expressed as:

[0040] in, is the active power of node j at time t, is the active power flowing from node j to node k, is the active power flowing from node i to node j, is the resistance of the line connecting nodes i and j, is the square of the current value of the line connecting nodes i and j at time t, and is the set of nodes that flow power from node j. is the set of nodes that have power flowing to node j; is the reactive load of node j at time t, is the reactive power flowing from node j to node k, is the reactive power flowing from node i to node j, is the reactance of the line connecting nodes i and j; is the square of the voltage value of node i at time t, is the square of the voltage value of node j at time t; is the lower limit of the voltage square value; is the upper limit of the voltage square value; is the maximum square value of the current on line ij; is the active power generated by node j consuming coal at time t, is the active power generated by node j consuming natural gas at time t, is the active load of node j at time t; is the reactive power generated by node j consuming coal at time t, is the reactive power generated by node j consuming natural gas at time t, is the reactive load of node j at time t; is the lower limit of the active power generated by the generator at node j through coal at time t, is the upper limit of the active power generated by the generator at node j through coal at time t, is the lower limit of the active power generated by the generator at node j through natural gas at time t, is the upper limit of the active power generated by the generator at node j through natural gas at time t; is the lower limit of the reactive power generated by the generator at node j through coal at time t, is the upper limit of the reactive power generated by the generator at node j through coal at time t, is the lower limit of the reactive power generated by the generator at node j through natural gas at time t, is the upper limit of the reactive power generated by the generator at node j through natural gas at time t.

[0041] Heating network side: including mass flow conservation, temperature-pressure coupling equation, heat exchanger efficiency constraint, etc., expressed as:

[0042] in, are the injected water mass flow rate and the outflow water mass flow rate of node k at time t, They are the water mass flow rate of the pipeline from node k to node l at time t, and the water mass flow rate of the pipeline from node j to node k at time t; The flow of water between nodes in the heating pipeline is driven by pressure. The pressure difference between the nodes determines the mass flow rate in the pipeline. are the pressure magnitudes of water supply pipeline nodes k and l at time t, represents the friction factor of the pipeline kl, represents the water mass flow rate in pipeline kl at time t; are the pressure magnitudes of the return pipe nodes k and l at time t, represents the friction factor of the pipeline lk, represents the water mass flow rate in pipeline lk at time t; are the pressure of node k in the supply and return network at time t, is the pipeline friction factor; is the heat exchanged; the upper and lower limits of the mass flow rate of the water flowing through the pipe, are the lower and upper limits of the mass flow rate of water passing through the pipe; The upper and lower limits on the mass flow rate of water flowing into and out of the node are: are the lower and upper limits of mass flow rate, respectively; are the lower and upper limits of the pressure at the heating node k, are the lower and upper limits of the pressure at the return node k respectively; are the lower and upper limits of the temperature of the heating node k, are the lower and upper limits of the temperature of the return water node k respectively.

[0043] Gas network side: including temperature drop equation, flow conservation equation, pipeline pressure equation, etc., expressed as:

[0044] , are the temperature and pressure of node i respectively; , are the temperatures of natural gas entering and leaving the pipeline, respectively; is the natural gas flow in the pipeline from node i to node j; l is the length of the natural gas pipeline, is the ambient (soil) temperature outside the pipeline, and are the temperatures of the natural gas entering and leaving the pipeline, respectively; are the natural gas injected at node i, the mass flow rate from node j to node i, the natural gas load at node i, and the natural gas mass flow rate from node i to node k; are the lower and upper limits of the natural gas mass flow rate of pipeline (i, j), respectively; are the lower and upper limits of the pressure at node i respectively.

[0045] The multi-energy coupling normalized initial model includes the normalized heat exchange equation, the normalized natural gas pressure equation and the normalized power equation; The normalized heat exchange equation is: ; The normalized water supply pipeline pressure balance equation is: ; in, is the normalized specific heat capacity, is the normalized mass flow rate, is the normalized thermal water supply temperature, is the normalized thermal return water temperature, is the normalized thermal water supply pressure, is the normalized thermal return water pressure, is the normalized water supply pipe friction factor; The flow of natural gas in the pipeline is driven by the pressure difference between the pipeline nodes. Flow to Node , the pipeline pressure equation is expressed as follows after being expressed as:

[0046] in, They are the normalized nodes. temperature and pressure, They are the normalized nodes. temperature and pressure, By node To Node The normalized natural gas flow rate of the pipeline, is the normalized natural gas pressure constant; When natural gas flows in the pipeline, its temperature will also change. The temperature change model of natural gas in the pipeline is expressed as:

[0047] in, is the length of the natural gas pipeline, is the normalized temperature constant, is the normalized ambient (soil) temperature outside the pipeline, and Natural gas from pipelines The inlet temperature and outlet temperature (both are normalized temperatures). The temperature of the node The temperature of natural gas is:

[0048] If the node Only connect nodes , then from the pipeline The outflowing natural gas temperature is the temperature of node j, that is:

[0049] If node j is connected to multiple nodes, the natural gas temperature at node j is the average temperature of the gas flowing out of multiple nodes. According to the first law of thermodynamics, it can be expressed as:

[0050] in, Represents the set of all nodes connected to node j.

[0051] Step S3, calculating the dynamic balance factor of the heating network and the return water network; Dynamic balance factors include temperature balance factors and pressure balance factor , ; The multi-energy coupling normalized model includes coupled heat exchange equation, coupled natural gas pressure equation and coupled power equation; The coupled heat exchange equation is: ; The pressure balance equation of the coupled water supply pipeline is: .

[0052] Adopt convex optimization (such as CVX) or mixed integer programming (such as Gurobi) solvers for coupled models, supporting efficient solution of fixed flow (linear model) and variable flow (nonlinear model) modes; Step S4: correcting the multi-energy coupling normalized initial model based on the dynamic balance factor to obtain a multi-energy coupling normalized model.

[0053] Embodiment 2: The present application provides a multi-energy coupling normalized model construction system, comprising: A collection unit, used for collecting actual values; A calculation unit, used to calculate the derived reference value, normalized value, and dynamic balance factor; A first modeling unit, used for constructing an initial target model according to the independent benchmark value and the derived benchmark value; A second modeling unit is used to generate a multi-energy coupling normalized initial model according to the initial target model and the normalized value; The third modeling unit is used to generate a multi-energy coupling normalized model according to the normalized model and the dynamic balance factor.

[0054] Embodiment three: In view of the problems in the prior art, the present invention provides a computer-readable storage medium, which includes a stored program, wherein when the program is running, the device where the computer-readable storage medium is located is controlled to execute the multi-energy coupling normalized model construction method described in Example 1.

[0055] It is understandable that the systems, devices, modules or units described in the above embodiments can be implemented by computer chips or entities, or by products with certain functions. A typical implementation device is a computer, and the specific form of the computer can be a personal computer, a laptop computer, a personal digital assistant, a tablet computer, a wearable device, or a combination of any of these devices.

[0056] In a typical configuration, a computer includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0057] The memory may include non-permanent storage in a computer-readable medium, random access memory (RAM) and / or non-volatile memory in the form of read-only memory (ROM) or flash RAM. The memory is an example of a computer-readable medium.

[0058] Computer-readable media include permanent and non-permanent, removable and non-removable media that can be used to store information by any method or technology. Information can be computer-readable instructions, data structures, program modules or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassettes, disk storage, quantum memory, graphene-based storage media or other magnetic storage devices or any other non-transmission media that can be used to store information that can be accessed by a computing device. As defined herein, computer-readable media does not include temporary computer-readable media (transitory media), such as modulated data signals and carrier waves.

[0059] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with the relevant laws, regulations and standards of the relevant countries and regions, and provide corresponding operation entrances for users to choose to authorize or refuse.

[0060] It should also be noted that the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, commodity or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, commodity or device. In the absence of more restrictions, the elements defined by the sentence "comprises a ..." do not exclude the existence of other identical elements in the process, method, commodity or device including the elements.

[0061] The above is a description of a specific embodiment of the specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0062] The terms used in one or more embodiments of this specification are only for the purpose of describing specific embodiments, and are not intended to limit one or more embodiments of this specification. The singular forms of "a", "said" and "the" used in one or more embodiments of this specification and the appended claims are also intended to include plural forms, unless the context clearly indicates other meanings. It should also be understood that the term "and / or" used herein refers to and includes any or all possible combinations of one or more associated listed items.

[0063] It should be understood that although the terms first, second, third, etc. may be used to describe various information in one or more embodiments of this specification, these information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, without departing from the scope of one or more embodiments of this specification, the first information may also be referred to as the second information, and similarly, the second information may also be referred to as the first information. Depending on the context, the word "if" as used herein may be interpreted as "at the time of" or "when" or "in response to determining".

[0064] The above description is merely a preferred embodiment of one or more embodiments of the present specification and is not intended to limit one or more embodiments of the present specification. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of one or more embodiments of the present specification shall be included in the scope of protection of one or more embodiments of the present specification.

Claims

1. A method for constructing a multi-energy coupling normalization model, characterized in that: The following steps are involved: Step S1, selecting an independent reference value for constructing a multi-energy coupling normalized model and setting parameters, obtaining actual values ​​corresponding to each parameter, and normalizing the actual values ​​based on the reference value and the actual value to obtain normalized values ​​of each parameter; Step S2, establishing an initial target model with the goal of minimizing the comprehensive energy cost, and generating a multi-energy coupling normalized initial model by combining the normalized values ​​of each parameter in step S1 with the initial target model; Step S3, calculating the dynamic balance factor of the heating network and the return water network; Step S4: correcting the multi-energy coupling normalized initial model based on the dynamic balance factor to obtain a multi-energy coupling normalized model.

2. The method for constructing a multi-energy coupling normalized model according to claim 1, characterized in that: In step S1, the reference values ​​include independent reference values ​​and derived reference values. The selected independent reference values ​​are: power S, voltage square value V, mass flow rate m, thermal water supply temperature T S , Thermal return water temperature T R , Thermal water supply pressure P S , Thermal return water pressure P R , natural gas temperature T G , natural gas pressure P G ; The derived benchmark value calculation formula is as follows: Where Z is impedance, I is the square of current, and T loss is the thermal temperature loss factor, c is the specific heat capacity, is the thermal pipeline friction factor, Г is the thermal heat exchanger friction factor, ρ is the thermal water density, Ω is the natural gas pressure constant, and κ is the natural gas temperature constant.

3. The method for constructing a multi-energy coupling normalized model according to claim 2, characterized in that: In step S2, the initial target model is expressed as: Among them, C is the amount of coal, G is the amount of natural gas, is the price of coal per unit, is the price per unit of natural gas; Establish constraints in the initial target model: Grid side: including node power balance, voltage / current limit, and line flow constraints, expressed as: in, is the active power of node j at time t, is the active power flowing from node j to node k, is the active power flowing from node i to node j, is the resistance of the line connecting nodes i and j, is the square of the current value of the line connecting nodes i and j at time t, and is the set of nodes that flow power out of node j. is the set of nodes that have power flowing to node j; is the reactive load of node j at time t, is the reactive power flowing from node j to node k, is the reactive power flowing from node i to node j, is the reactance of the line connecting nodes i and j; is the square of the voltage value of node i at time t, is the square of the voltage value of node j at time t; is the lower limit of the voltage square value; is the upper limit of the voltage square value; is the maximum square value of the current on line ij; is the active power generated by node j consuming coal at time t, is the active power generated by node j consuming natural gas at time t, is the active load of node j at time t; is the reactive power generated by node j consuming coal at time t, is the reactive power generated by node j consuming natural gas at time t, is the reactive load of node j at time t; is the lower limit of the active power generated by the generator at node j through coal at time t, is the upper limit of the active power generated by the generator at node j through coal at time t, is the lower limit of the active power generated by the generator at node j through natural gas at time t, is the upper limit of the active power generated by the generator at node j through natural gas at time t; is the lower limit of the reactive power generated by the generator at node j through coal at time t, is the upper limit of the reactive power generated by the generator at node j through coal at time t, is the lower limit of the reactive power generated by the generator at node j through natural gas at time t, is the upper limit of the reactive power generated by the generator at node j through natural gas at time t; Heating network side: including mass flow conservation, temperature-pressure coupling equation, and heat exchanger efficiency constraint, expressed as: in, are the injected water mass flow rate and the outflow water mass flow rate of node k at time t, They are the water mass flow rate of the pipeline from node k to node l at time t, and the water mass flow rate of the pipeline from node j to node k at time t; The flow of water between nodes in the heating pipeline is driven by pressure. The pressure difference between nodes determines the mass flow rate in the pipeline. are the pressures of nodes k and l in the water supply pipeline at time t, represents the friction factor of the pipeline kl, represents the water mass flow rate in pipeline kl at time t; are the pressure magnitudes of the return pipe nodes k and l at time t, represents the friction factor of the pipeline lk, represents the water mass flow rate in pipeline lk at time t; are the pressure of node k in the supply and return network at time t, is the pipeline friction factor; is the heat exchanged; the upper and lower limits of the mass flow rate of the water flowing through the pipe, are the lower and upper limits of the mass flow rate of water passing through the pipe; The upper and lower limits on the mass flow rate of water flowing into and out of the node are: are the lower and upper limits of mass flow rate, respectively; are the lower and upper limits of the pressure at the heating node k, are the lower and upper limits of the pressure at the return node k respectively; are the lower and upper limits of the temperature of the heating node k, are the lower and upper limits of the temperature of the return water node k respectively; Gas network side: including temperature drop equation, flow conservation equation, pipeline pressure equation, expressed as: , are the temperature and pressure of node i respectively; , are the temperatures of natural gas entering and leaving the pipeline, respectively; is the natural gas flow in the pipeline from node i to node j; l is the length of the natural gas pipeline, is the ambient (soil) temperature outside the pipeline, and are the temperatures of the natural gas entering and leaving the pipeline, respectively; are the natural gas injected at node i, the mass flow rate from node j to node i, the natural gas load at node i, and the natural gas mass flow rate from node i to node k; are the lower and upper limits of the natural gas mass flow rate of pipeline (i, j), respectively; are the lower and upper limits of the pressure at node i, respectively; The heat exchange equation is: ; The pressure balance equation of the water supply pipeline is: .

4. The method for constructing a multi-energy coupling normalized model according to claim 3, characterized in that: In step S3, the normalized heat exchange equation is: ; The normalized water supply pipeline pressure balance equation is: ; in, is the normalized specific heat capacity, is the normalized mass flow rate, is the normalized thermal water supply temperature, is the normalized thermal return water temperature, is the normalized thermal water supply pressure, is the normalized thermal return water pressure, is the normalized water supply pipe friction factor.

5. The method for constructing a multi-energy coupling normalized model according to claim 4, characterized in that: In step S4, the dynamic balance factor includes the temperature balance factor and pressure balance factor , ; The coupled heat exchange equation is: ; The pressure balance equation of the coupled water supply pipeline is: .

6. The method for constructing a multi-energy coupling normalized model according to claim 1, characterized in that: In step S2, natural gas flows from node i to node j, and the natural gas pressure equation is: in, is the temperature of node i, is the temperature of node j, is the pressure at node i, is the pressure at node j, The natural gas flow in the pipeline from node i to node j.

7. The method for constructing a multi-energy coupling normalized model according to claim 6, characterized in that: The normalized natural gas pressure equation is: in, is the normalized temperature of node i, is the normalized temperature of node j, is the normalized pressure of node i, is the normalized pressure at node j, The normalized natural gas flow rate of the pipeline from node i to node j, is the normalized natural gas pressure constant.

8. The method for constructing a multi-energy coupling normalized model according to claim 2, characterized in that: In step S1, the calculation formula of the normalized value is: .

9. A multi-energy coupling normalized model construction system, characterized in that: include: A collection unit, used for collecting actual values; A calculation unit, used to calculate the derived reference value, normalized value, and dynamic balance factor; A first modeling unit, used for constructing an initial target model according to the independent benchmark value and the derived benchmark value; A second modeling unit is used to generate a multi-energy coupling normalized initial model according to the initial target model and the normalized value; The third modeling unit is used to generate a multi-energy coupling normalized model according to the normalized model and the dynamic balance factor.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored program, wherein when the program is running, the device where the computer-readable storage medium is located is controlled to execute the multi-energy coupling normalized model construction method described in any one of claims 1-8.

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