A method, system and medium for constructing a multi-energy coupling normalization model

Abstract

The present invention relates to a method, system, and medium for constructing a multi-energy coupling normalized model, belonging to the field of energy management technology. The method comprises the following steps: Step S1, selecting independent reference values ​​for constructing the multi-energy coupling normalized model and setting parameters, obtaining actual values ​​corresponding to each parameter, and normalizing the actual values ​​based on the reference values ​​and actual values ​​to obtain normalized values ​​of each parameter; Step S2, establishing an initial target model with the goal of minimizing comprehensive energy costs, combining the normalized values ​​of each parameter in Step S1 with the initial target model to generate a multi-energy coupling normalized initial 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. The various physical quantities in the power, heat, and natural gas systems are uniformly normalized to the same dimension, thereby achieving unified modeling of the power, heat, and natural gas systems.

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 (IES) have gradually become a hot topic in research and application. By integrating multiple energy sources, such as electricity and heat, IES achieves efficient energy utilization and complementarity. In modern energy systems, the integration of multiple energy sources within integrated energy systems (IES) is a key component in achieving efficient energy utilization and is of great significance for promoting energy transition and achieving the "dual carbon" goals.

[0003] Normalization methods are widely used in power systems to improve computational efficiency by normalizing parameters such as voltage and power. By normalizing physical quantities of different dimensions, such as voltage, current, and power, to a unified dimension, a normalized system achieves numerical consistency and simplifies computation. This approach offers significant advantages in power system analysis, such as improving the numerical stability of power flow calculations and facilitating the adjustment of controller parameters.

[0004] However, existing normalization systems are primarily used in the power industry. For IES, because it involves multiple physical systems—electricity, heat, and natural gas—and the parameters of these systems vary significantly, existing normalization systems cannot be directly applied to IES modeling and optimization. Existing modeling methods for IES often require modeling the power, heat, and natural gas systems separately and then coupling them. This approach not only has high computational complexity but also struggles to intuitively reflect the operating status of the entire system, hindering global optimization and real-time monitoring. Traditional normalization is applicable only to a single energy system and cannot address the following issues: Cross-system parameter coupling: The temperature and pressure of the heat, natural gas supply / return, and gas networks vary significantly (pressures are typically in the megapascal range and temperatures are often tens of degrees Celsius), making a single normalization benchmark ineffective. High model complexity: The power, heat, and gas systems must be modeled separately and then coupled, resulting in computational redundancy and difficulty in reflecting the global state. Limitations of variable flow patterns: Traditional methods struggle to handle the strong flow-temperature coupling constraints, easily becoming trapped in local optima or failing to converge. Summary of the Invention

[0005] In response to 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 in the prior art of normalizing multiple energy systems separately, such as computational redundancy, difficulty in reflecting the global state, and easy falling into local optimality or failure to converge.

[0006] The technical solution adopted in the present invention is as follows:

[0007] In a first aspect, the present application provides a method for constructing a multi-energy coupling normalization model, comprising the following steps:

[0008] Step S1: Select independent reference values ​​for constructing a multi-energy coupling normalized model and set parameters, obtain actual values ​​corresponding to each parameter, and normalize the actual values ​​based on the reference values ​​and actual values ​​to obtain normalized values ​​of each parameter;

[0009] 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 the parameters in step S1 with the initial target model;

[0010] Step S3: Calculate the dynamic balance factor of the heating network and the return water network;

[0011] Step S4: correcting the multi-energy coupling normalized initial model based on the dynamic balance factor to obtain a multi-energy coupling normalized model.

[0012] 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 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 ;

[0013] The derived benchmark value calculation formula is as follows:

[0014]

[0015] Where Z is the impedance, I is the square of the 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.

[0016] Preferably, in step S2, the initial target model is expressed as:

[0017]

[0018] 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;

[0019] Establish constraints in the initial target model:

[0020] Grid side: including node power balance, voltage / current limits, and line power flow constraints, expressed as:

[0021]

[0022] 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, is the set of nodes that outflow power from node j, is the set of nodes that have power flowing to node j;

[0023] 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;

[0024] 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;

[0025] is the lower limit of the square value of voltage; is the upper limit of the square value of voltage;

[0026] is the maximum square value of the current on line ij;

[0027] 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;

[0028] 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;

[0029] 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;

[0030] 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;

[0031] Heating network side: including mass flow conservation, temperature-pressure coupling equation, and heat exchanger efficiency constraint, expressed as:

[0032]

[0033] in, are the water mass flow rate of injection and outflow at node k at time t, are the water mass flow rate of the pipeline flowing from node k to node l at time t, and the water mass flow rate of the pipeline flowing from node j to node k at time t;

[0034] The flow of water between nodes in the heating pipe is driven by pressure. The pressure difference between nodes determines the mass flow in the pipe. 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;

[0035] 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;

[0036] are the pressure of node k in the supply and return water networks at time t, is the pipeline friction factor;

[0037] is the heat exchanged; the upper and lower limits of the mass flow rate of the water flowing through the pipe are constrained. are the lower and upper limits of the mass flow rate of water passing through the pipe;

[0038] 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;

[0039] 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 water node k;

[0040] 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;

[0041] Gas network side: including temperature drop equation, flow conservation equation, and pipeline pressure equation, expressed as:

[0042]

[0043] 、 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 natural gas entering and leaving the pipeline, respectively;

[0044] 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 mass flow rate of natural gas from node i to node k;

[0045] are the lower and upper limits of the natural gas mass flow rate of pipeline (i, j), respectively;

[0046] are the lower and upper limits of the pressure at node i, respectively;

[0047] The heat exchange equation is: ; The pressure balance equation of the water supply pipeline is: .

[0048] Preferably, in step S3, the normalized heat exchange equation is: ; The normalized water supply pipeline pressure balance equation is: ;

[0049] 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.

[0050] Preferably, in step S4, the dynamic balance factor includes a temperature balance factor and pressure balance factor , ;

[0051] The coupled heat exchange equation is: ; The pressure balance equation of the coupled water supply pipeline is: .

[0052] Preferably, in step S2, natural gas flows from node i to node j, and the natural gas pressure equation is:

[0053]

[0054] 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.

[0055] Preferably, the normalized natural gas pressure equation is:

[0056]

[0057] in, is the normalized temperature of node i, is the normalized temperature of node j, is the normalized pressure at node i, is the normalized pressure at node j, Normalized natural gas flow rate in the pipeline from node i to node j, is the normalized natural gas pressure constant.

[0058] Preferably, in step S1, the calculation formula of the normalized value is: .

[0059] In a second aspect, the present application provides a multi-energy coupling normalization model construction system, comprising:

[0060] A collection unit, used for collecting actual values;

[0061] A calculation unit, used to calculate derived reference values, normalized values, and dynamic balance factors;

[0062] A first modeling unit is used to construct an initial target model based on the independent benchmark value and the derived benchmark value;

[0063] 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;

[0064] The third modeling unit is used to generate a multi-energy coupling normalized model based on the normalized model and the dynamic balance factor.

[0065] 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 normalization model construction method described in the first aspect.

[0066] It can be seen from the above technical solutions that the present invention has the following advantages:

[0067] 1. Cross-system normalization:

[0068] By introducing a global normalization method, this paper can normalize various physical quantities (such as voltage, current, pressure, and temperature) in power, thermal, and natural gas systems to the same dimension, thereby achieving unified modeling of these systems. This approach is not only applicable to fixed flow rates but also flexibly handles complex optimization problems under variable flow rates.

[0069] 2. Improve numerical consistency and computational efficiency:

[0070] This method normalizes various parameters and variables in the system, significantly reducing differences in numerical ranges and improving the model's numerical consistency and computational stability. In solving optimal energy flow (OEF) problems, this method can significantly reduce the number of computational iterations, shorten solution time, and improve solution efficiency.

[0071] 3. Status visualization enhancement:

[0072] This invention enables unified IES modeling, normalizing the system's operating status to a value close to 1, intuitively reflecting the system's operational status. For example, normalized temperature and pressure values ​​can be used to quickly determine whether the heating and return water networks of a thermal system are operating normally, facilitating real-time monitoring and fault diagnosis of the system.

[0073] 4. Model universality:

[0074] By introducing auxiliary balancing variables, the present invention can flexibly handle temperature and pressure differences across different networks in a thermal system, adapting to various operating modes, including fixed and variable flow rates. Whether addressing linear optimization problems (such as the OEF problem in a fixed flow mode) or nonlinear optimization problems (such as the OEF problem in a variable flow mode), the present invention significantly improves solution efficiency, ensuring both accuracy and stability.

[0075] 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 that integrates power and thermal systems. BRIEF DESCRIPTION OF THE DRAWINGS

[0076] In order to more clearly illustrate the technical solution of the present invention, the following is a brief introduction to the drawings required for the description. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0077] Figure 1 A flowchart of a construction method in an embodiment of the present invention;

[0078] Figure 2 A schematic diagram of a construction method in an embodiment of the present invention;

[0079] Figure 3 This is a comparison diagram of the heating network status before and after normalization in an embodiment of the present invention. DETAILED DESCRIPTION

[0080] In the detailed description below, various embodiments of the present disclosure will be described more fully. The present disclosure can have various embodiments, and adjustments and changes can 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 that the present disclosure should be understood to encompass all adjustments, equivalents, and / or alternatives that fall within the spirit and scope of the various embodiments of the present disclosure.

[0081] The following are some explanations of terms in this plan to facilitate a better understanding of this plan:

[0082] 1. IES (Integrated Energy Systems)

[0083] An integrated energy system (IES) integrates multiple energy forms (such as electricity, heat, cooling, and gas) along with energy storage and conversion facilities. Through optimized management and control, it achieves efficient energy utilization, interconnection, and flexible scheduling. It combines renewable energy, traditional energy, and energy storage technologies to address multiple challenges related to energy supply, consumption, and environmental impact. IES emphasizes coordinated energy scheduling and intelligent control to achieve efficient, low-carbon, and green energy development, promoting the modernization and sustainability of energy systems. This system has widespread application in smart grids, distributed energy resources, microgrids, and other fields, aiming to improve energy utilization, reduce costs, and mitigate greenhouse gas emissions.

[0084] 2. Independent benchmark value

[0085] An independent reference value is a standard value chosen during a measurement or calculation that is independent of any other variable or reference frame and is, by definition, independent. It is typically derived through experimentation or high-precision measurement techniques and serves as a benchmark for other related data. Independent reference values ​​are widely used in scientific research, engineering experiments, and standardized testing to ensure comparability and consistency across different devices and systems under the same conditions.

[0086] 3. Derived benchmark value

[0087] A derived reference value is a reference value calculated from one or more independent reference values. In some cases, actual measurements may not be directly available for certain reference values. Therefore, a new derived reference value is derived by using known independent reference values ​​and related formulas or derivation methods. This method is often used in multivariable measurements or calibration of complex systems, where the accuracy of the derived reference value directly impacts the reliability of the final result.

[0088] 4. Normalization

[0089] Normalization involves converting values ​​of varying magnitudes or scales into a unified, standardized value, allowing comparisons across the same scale. Common normalization methods include linearly mapping data to a specific interval (such as [0, 1]) or using statistical methods such as subtracting the mean or dividing by the standard deviation. Normalization is widely used in fields such as data analysis, machine learning, and signal processing, effectively eliminating the effects of dimensionality and improving model efficiency and accuracy.

[0090] In response to 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 in the prior art of normalizing multiple energy systems separately, such as computational redundancy, difficulty in reflecting the global state, and easy falling into local optimality or failure to converge.

[0091] Example 1:

[0092] The present invention aims to solve 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:

[0093] Step S1: Select independent reference values ​​for constructing a multi-energy coupling normalized model and set parameters, obtain actual values ​​corresponding to each parameter, and normalize the actual values ​​based on the reference values ​​and actual values ​​to obtain normalized values ​​of each parameter;

[0094] 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 ;

[0095] The derived benchmark value calculation formula is as follows:

[0096]

[0097] Where Z is the impedance, I is the square of the 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;

[0098] In the process of normalizing the actual value, the formula is used: Perform calculations.

[0099] 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 the parameters in step S1 with the initial target model;

[0100] The initial target model is expressed as:

[0101]

[0102] 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;

[0103] The heat exchange equation is: ; The pressure balance equation of the water supply pipeline is: ;

[0104] Create constraints:

[0105] Grid side: including node power balance, voltage / current limits, and line power flow constraints, expressed as:

[0106]

[0107] 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, is the set of nodes that outflow power from node j, is the set of nodes that have power flowing to node j;

[0108] 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;

[0109] 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;

[0110] is the lower limit of the square value of voltage; is the upper limit of the square value of voltage;

[0111] is the maximum square value of the current on line ij;

[0112] 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;

[0113] 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;

[0114] 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;

[0115] 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.

[0116] Heating network side: including mass flow conservation, temperature-pressure coupling equation, heat exchanger efficiency constraint, etc., expressed as:

[0117]

[0118] in, are the water mass flow rate of injection and outflow at node k at time t, are the water mass flow rate of the pipeline flowing from node k to node l at time t, and the water mass flow rate of the pipeline flowing from node j to node k at time t;

[0119] The flow of water between nodes in the heating pipe is driven by pressure. The pressure difference between nodes determines the mass flow in the pipe. 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;

[0120] 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;

[0121] are the pressure of node k in the supply and return water networks at time t, is the pipeline friction factor;

[0122] is the heat exchanged; the upper and lower limits of the mass flow rate of the water flowing through the pipe are constrained. are the lower and upper limits of the mass flow rate of water passing through the pipe;

[0123] 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;

[0124] 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 water node k;

[0125] 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.

[0126] Gas network side: including temperature drop equation, flow conservation equation, pipeline pressure equation, etc., expressed as:

[0127]

[0128] 、 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 natural gas entering and leaving the pipeline, respectively;

[0129] 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 mass flow rate of natural gas from node i to node k;

[0130] are the lower and upper limits of the natural gas mass flow rate of pipeline (i, j), respectively;

[0131] are the lower and upper limits of the pressure at node i, respectively.

[0132] The multi-energy coupling normalized initial model includes the normalized heat exchange equation, the normalized natural gas pressure equation and the normalized power equation;

[0133] The normalized heat exchange equation is: ; The normalized water supply pipeline pressure balance equation is: ;

[0134] 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;

[0135] 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:

[0136]

[0137] in, They are the normalized nodes temperature and pressure, They are the normalized nodes temperature and pressure, It is the node To Node Normalized natural gas flow rate in the pipeline, is the normalized natural gas pressure constant;

[0138] As natural gas flows in a pipeline, its temperature also changes. The temperature change model of natural gas in a pipeline is expressed as:

[0139]

[0140] 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:

[0141]

[0142] If the node Only connect nodes , then from the pipeline The outflowing natural gas temperature is the temperature of node j, that is:

[0143]

[0144] 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:

[0145]

[0146] in, Represents the set of all nodes connected to node j.

[0147] Step S3: Calculate the dynamic balance factor of the heating network and the return water network;

[0148] Dynamic balance factors include temperature balance factors and pressure balance factor , ;

[0149] The multi-energy coupling normalized model includes coupled heat exchange equations, coupled natural gas pressure equations and coupled power equations;

[0150] The coupled heat exchange equation is: ; The pressure balance equation of the coupled water supply pipeline is: .

[0151] 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;

[0152] Step S4: correcting the multi-energy coupling normalized initial model based on the dynamic balance factor to obtain a multi-energy coupling normalized model.

[0153] Example 2:

[0154] This application provides a multi-energy coupling normalization model construction system, including:

[0155] A collection unit, used for collecting actual values;

[0156] A calculation unit, used to calculate derived reference values, normalized values, and dynamic balance factors;

[0157] A first modeling unit is used to construct an initial target model based on the independent benchmark value and the derived benchmark value;

[0158] 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;

[0159] The third modeling unit is used to generate a multi-energy coupling normalized model based on the normalized model and the dynamic balance factor.

[0160] Example 3:

[0161] In response to the problems in the prior art, the present invention provides a computer-readable storage medium, which includes a stored program. When the program is running, the device where the computer-readable storage medium is located is controlled to execute the multi-energy coupling normalization model construction method described in Example 1.

[0162] It is understood that the systems, devices, modules, or units described in the above embodiments may be implemented by computer chips or physical devices, or by products having certain functions. A typical implementation device is a computer, which may 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.

[0163] In a typical configuration, a computer includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0164] 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. Memory is an example of a computer-readable medium.

[0165] Computer-readable media include permanent and non-permanent, removable and non-removable media that can be used to store information using 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 transitory media such as modulated data signals and carrier waves.

[0166] 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 relevant countries and regions, and provide corresponding operation entrances for users to choose to authorize or refuse.

[0167] It should also be noted that the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, commodity, or apparatus that includes a series of elements includes not only those elements but also other elements not explicitly listed, or includes elements inherent to such process, method, commodity, or apparatus. In the absence of further limitations, an element defined by the phrase "comprises a ..." does not exclude the presence of other identical elements in the process, method, commodity, or apparatus that includes the element.

[0168] The foregoing description of this specification describes specific embodiments. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims can be performed in an order different from that described in the embodiments and still achieve the desired results. Furthermore, the processes depicted in the accompanying drawings do not necessarily require the specific order shown or the sequential order to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0169] The terms used in one or more embodiments of this specification are for the purpose of describing specific embodiments only and are not intended to limit one or more embodiments of this specification. The singular forms "a," "an," "the," 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 otherwise. 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.

[0170] 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, such 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, first information may also be referred to as second information, and similarly, second information may also be referred to as first information. Depending on the context, the word "if" as used herein may be interpreted as "when..." or "when..." or "in response to determining."

[0171] The above description is merely a preferred embodiment of one or more embodiments of this specification and is not intended to limit one or more embodiments of this specification. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of one or more embodiments of this specification shall be included in the scope of protection of one or more embodiments of this specification.

Claims

1. A method for constructing a multi-energy coupling normalization model, characterized in that: The following steps are involved: Step S1: Select independent reference values ​​for constructing a multi-energy coupling normalized model and set parameters, obtain actual values ​​corresponding to each parameter, and normalize the actual values ​​based on the reference values ​​and actual values ​​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: Where Z is the impedance, I is the square of the 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; 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 the parameters in step S1 with the initial target model; 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 limits, and line power 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, is the set of nodes that outflow 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 square value of voltage; is the upper limit of the square value of voltage; 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 water mass flow rate of injection and outflow at node k at time t, are the water mass flow rate of the pipeline flowing from node k to node l at time t, and the water mass flow rate of the pipeline flowing from node j to node k at time t; The flow of water between nodes in the heating pipe is driven by pressure. The pressure difference between nodes determines the mass flow in the pipe. 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 water networks 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 constrained. 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 water node k; 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; Gas network side: including temperature drop equation, flow conservation equation, and 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 soil temperature outside the pipeline; 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 mass flow rate of natural gas 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: ; Step S3: Calculate 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 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.

3. The method for constructing a multi-energy coupling normalization model according to claim 2, 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: .

4. The method for constructing a multi-energy coupling normalized model according to claim 1, wherein: 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.

5. The method for constructing a multi-energy coupling normalization model according to claim 4, wherein: 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 at node i, is the normalized pressure at node j, Normalized natural gas flow rate in the pipeline from node i to node j, is the normalized natural gas pressure constant.

6. The method for constructing a multi-energy coupling normalization model according to claim 1, wherein: In step S1, the calculation formula of the normalized value is: , where the benchmark value is either an independent benchmark value or a derived benchmark value.

7. A multi-energy coupling normalization model construction system, characterized in that: include: A collection unit, used for collecting actual values; A calculation unit, used to calculate derived reference values, normalized values, and dynamic balance factors; A first modeling unit is used to construct an initial target model based on 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 based on the normalized model and the dynamic balance factor, wherein the multi-energy coupling normalized model is a multi-energy coupling normalized model constructed by the construction method described in claim 1.

8. 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 normalization model construction method described in any one of claims 1-6.

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