Integrated energy system simulation method, device, equipment and storage medium

Abstract

The present invention discloses a comprehensive energy system simulation method, device, equipment and storage medium, belonging to the field of comprehensive energy technology. The comprehensive energy system simulation method of the present invention comprises obtaining load forecast data of the comprehensive energy system; optimizing the structure of the comprehensive energy system to obtain an energy storage mathematical model; constructing a simulation model of the comprehensive energy system according to the energy storage mathematical model; and simulating and optimizing the comprehensive energy system according to the load forecast data and the simulation model. The simulation reliability of this comprehensive energy system simulation method is high, and the comprehensive energy system can be analyzed more accurately, thereby realizing the rational use of comprehensive energy.

Description

Technical Field

[0001] The present invention relates to the field of integrated energy technology, and in particular to an integrated energy system simulation method, device, equipment and storage medium. Background Art

[0002] With the changes in energy demand caused by economic development, the rational use of integrated energy has become particularly important. At present, integrated energy systems are often analyzed through digital physical simulation of integrated energy systems, but there is a problem of low simulation reliability. Therefore, how to provide a simulation method for integrated energy systems with high simulation reliability, which can more accurately analyze the integrated energy system and thus realize the rational use of integrated energy, has become an urgent problem to be solved. Summary of the invention

[0003] The present invention aims to solve at least one of the technical problems existing in the prior art. To this end, the present invention proposes a comprehensive energy system simulation method, which has high simulation reliability and can analyze the comprehensive energy system more accurately, thereby realizing the rational use of comprehensive energy.

[0004] The present invention also provides an integrated energy system simulation device having the above-mentioned integrated energy system simulation method.

[0005] The present invention also provides an electronic device having the above-mentioned comprehensive energy system simulation method.

[0006] The present invention also provides a computer-readable storage medium.

[0007] The integrated energy system simulation method according to the first aspect of the present invention includes:

[0008] Obtain load forecast data for integrated energy systems;

[0009] Optimizing the structure of the integrated energy system to obtain a mathematical model of energy storage;

[0010] Constructing a simulation model of the integrated energy system according to the energy storage mathematical model;

[0011] The integrated energy system is simulated and optimized according to the load forecast data and the simulation model.

[0012] The integrated energy system simulation method according to the embodiment of the present invention has at least the following beneficial effects: the integrated energy system simulation method obtains the load forecast data of the integrated energy system and optimizes the structure of the integrated energy system to obtain an energy storage mathematical model, and constructs a simulation model of the integrated energy based on the energy storage mathematical model, and then simulates and optimizes the integrated energy system based on the load forecast data and the simulation model. The integrated energy system simulation method has high simulation reliability and can analyze the integrated energy system more accurately, thereby realizing the rational use of integrated energy.

[0013] According to some embodiments of the present invention, the step of obtaining load forecast data of the integrated energy system includes:

[0014] The load forecasting data is obtained by performing load forecasting on the integrated energy system through a preset load forecasting model.

[0015] According to some embodiments of the present invention, the step of optimizing the structure of the integrated energy system to obtain an energy storage mathematical model includes:

[0016] Obtaining an optimization objective and an optimization objective function in the structure of the integrated energy system;

[0017] Constructing the energy storage mathematical model according to the optimization target and the optimization objective function;

[0018] The energy storage mathematical model is structurally optimized according to the genetic algorithm and preset optimization conditions.

[0019] According to some embodiments of the present invention, the simulation model includes a digital simulation module, and simulation optimization is performed on the integrated energy system according to the load forecast data and the simulation model, including:

[0020] In each integral compensation cycle, an external signal is obtained;

[0021] The digital simulation model in the digital simulation module is simulated and optimized according to the external signal and the load forecast data.

[0022] According to some embodiments of the present invention, the simulation model further includes a power interface module, which performs simulation optimization on the integrated energy system according to the load forecast data and the simulation model, and further includes:

[0023] The interface algorithm of the power interface module is optimized according to the DIM algorithm.

[0024] According to some embodiments of the present invention, the simulation model further includes a physical simulation module, the power interface module includes a digital-to-analog converter and a power amplifier, and the integrated energy system is simulated and optimized according to the load forecast data and the simulation model, and further includes:

[0025] Acquire a digital signal output by the digital simulation module;

[0026] Converting the digital signal into an analog signal by means of the digital-to-analog converter;

[0027] The analog signal is amplified by the power amplifier, and the amplified analog signal is output to the physical simulation module to drive the physical simulation module to work normally.

[0028] According to some embodiments of the present invention, performing simulation optimization on the integrated energy system according to the load forecast data and the simulation model further includes:

[0029] The physical simulation model in the physical simulation module is scaled according to a preset scaling ratio.

[0030] According to the second aspect of the present invention, the integrated energy system simulation device comprises:

[0031] A data acquisition module, used to obtain load forecast data of the integrated energy system;

[0032] A mathematical model structure optimization module is used to optimize the structure of the comprehensive energy system to obtain an energy storage mathematical model;

[0033] A simulation model building module, used to build a simulation model of the integrated energy system according to the energy storage mathematical model;

[0034] A simulation optimization module is used to perform simulation optimization on the integrated energy system according to the load forecast data and the simulation model.

[0035] The integrated energy system simulation device according to the embodiment of the present invention has at least the following beneficial effects: the integrated energy system simulation device obtains the load forecast data of the integrated energy system through the data acquisition module, and at the same time the mathematical model structure optimization module optimizes the structure of the integrated energy system to obtain the energy storage mathematical model, the simulation model construction module constructs a simulation model of the integrated energy according to the energy storage mathematical model, and then the simulation optimization module simulates and optimizes the integrated energy system according to the load forecast data and the simulation model. The simulation reliability of this integrated energy system simulation method is high, and the integrated energy system can be analyzed more accurately, thereby realizing the rational use of the integrated energy.

[0036] An electronic device according to an embodiment of a third aspect of the present invention includes:

[0037] at least one processor, and

[0038] a memory communicatively connected to the at least one processor; wherein,

[0039] The memory stores instructions, and the instructions are executed by the at least one processor so that when the at least one processor executes the instructions, the integrated energy system simulation method as described in the first aspect embodiment is implemented.

[0040] The electronic device according to the embodiment of the present invention has at least the following beneficial effects: the electronic device adopts the above-mentioned integrated energy system simulation method, obtains the load forecast data of the integrated energy system, optimizes the structure of the integrated energy system, obtains the energy storage mathematical model, and constructs a simulation model of the integrated energy according to the energy storage mathematical model, and then simulates and optimizes the integrated energy system according to the load forecast data and the simulation model. The simulation reliability of this integrated energy system simulation method is high, and the integrated energy system can be analyzed more accurately, thereby realizing the rational use of the integrated energy.

[0041] According to the computer-readable storage medium of the fourth aspect embodiment of the present invention, the computer-readable storage medium stores computer-executable instructions, and the computer-executable instructions are used to enable a computer to execute the integrated energy system simulation method as described in the first aspect embodiment.

[0042] The computer-readable storage medium according to the embodiment of the present invention has at least the following beneficial effects: the computer-readable storage medium executes the above-mentioned integrated energy system simulation method by obtaining the load forecast data of the integrated energy system and optimizing the structure of the integrated energy system, thereby obtaining an energy storage mathematical model, and constructing a simulation model of the integrated energy according to the energy storage mathematical model, and then simulating and optimizing the integrated energy system according to the load forecast data and the simulation model. The simulation reliability of this integrated energy system simulation method is high, and the integrated energy system can be analyzed more accurately, thereby realizing the rational use of the integrated energy.

[0043] Additional aspects and advantages of the present invention will be given in part in the following description and in part will be obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] The present invention will be further described below with reference to the accompanying drawings and embodiments, wherein:

[0045] Figure 1 A flowchart of a comprehensive energy system simulation method according to an embodiment of the present invention;

[0046] Figure 2 for Figure 1Flow chart of step S200;

[0047] Figure 3 for Figure 1 Flow chart of step S400;

[0048] Figure 4 for Figure 1 Another flow chart of step S400;

[0049] Figure 5 A schematic diagram of the structure of a comprehensive energy system simulation device according to an embodiment of the present invention;

[0050] Figure 6 for Figure 5 Schematic diagram of the structure of the simulation optimization module.

[0051] Figure numerals: 610, data acquisition module; 620, mathematical model structure optimization module; 630, simulation model construction module; 640, simulation optimization module; 641, digital simulation module; 642, physical simulation module; 643, power interface module; 644, digital-to-analog converter; 645, power amplifier; 646, analog-to-digital converter; 647, voltage / current transformer. DETAILED DESCRIPTION

[0052] Embodiments of the present invention are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and cannot be understood as limiting the present invention.

[0053] In the description of the present invention, it should be understood that descriptions involving orientations, such as up, down, front, back, left, right, etc., and orientations or positional relationships indicated are based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present invention.

[0054] In the description of the present invention, "several" means more than one, "many" means more than two, "greater than", "less than", "exceed", etc. are understood to exclude the number itself, and "above", "below", "within", etc. are understood to include the number itself. If there is a description of "first" or "second", it is only used for the purpose of distinguishing the technical features, and cannot be understood as indicating or implying the relative importance or implicitly indicating the number of the indicated technical features or implicitly indicating the order of the indicated technical features.

[0055] In the description of the present invention, unless otherwise clearly defined, terms such as setting, installing, connecting, etc. should be understood in a broad sense, and technicians in the relevant technical field can reasonably determine the specific meanings of the above terms in the present invention based on the specific content of the technical solution.

[0056] In the description of the present invention, the description with reference to the terms "one embodiment", "some embodiments", "illustrative embodiments", "examples", "specific examples", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representation of the above terms does not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner.

[0057] First, refer to Figure 1 The integrated energy system simulation method of the embodiment of the present invention includes:

[0058] S100, obtaining load forecast data of the integrated energy system;

[0059] S200, optimize the structure of the integrated energy system and obtain the energy storage mathematical model;

[0060] S300, builds a simulation model of the integrated energy system based on the energy storage mathematical model;

[0061] S400 simulates and optimizes the integrated energy system based on load forecast data and simulation models.

[0062] In the process of simulating the integrated energy system, the load forecast data of the integrated energy is first obtained. This can be done by periodically forecasting the load of the integrated energy system through a preset load forecasting model to obtain the load forecast data. At the same time, the structure of the integrated energy system needs to be optimized to obtain a storage energy mathematical model. Specifically, the optimization target and optimization objective function in the structure of the integrated energy system are obtained. According to the optimization target and optimization objective function, a storage energy mathematical model is constructed. According to the genetic algorithm and preset optimization conditions, the structure of the storage energy mathematical model is optimized. For example, the annual comprehensive energy efficiency of the integrated energy system is taken as the optimization target, and minimizing the operation and maintenance cost is taken as the optimization objective function. The mathematical model of the energy storage system is constructed, and then the structure of the energy storage mathematical model is optimized according to the genetic algorithm and the preset optimization conditions. In this way, a simulation model of the comprehensive energy system can be constructed according to the energy storage mathematical model. For example, the real-time simulation software and the energy storage digital model can be used to construct a simulation model of the comprehensive energy system, and the simulation model and the external physical interface can be arranged on the PXI automation platform. The simulation model is run by outputting control instructions to the simulation model through the preset model program, and the signal data is transmitted to the lower computer at the same time, so that the memory and processor of the PXI automation platform can convert the machine language into electrical signal output, so that the CPU can simulate and calculate the simulation model according to the electrical signal. Among them, the simulation model includes a digital simulation module, a physical simulation module and a power interface module. The power interface module is connected to the digital simulation module and the physical simulation module respectively, and the signal is transmitted and processed through the interface algorithm in the power interface module. In this way, the digital simulation of the integrated energy system can be realized according to the simulation model, that is, the load forecast data is sent to the simulation model, and the integrated energy system is simulated and optimized according to the load forecast data and the simulation model. This simulation method constructs the simulation model of the integrated energy system through the energy storage mathematical model, taking into account the characteristics of the integrated energy system, and can reduce costs and improve energy efficiency. At the same time, the energy storage mathematical model takes the comprehensive energy efficiency as the objective function, fully considering the economy, energy saving and environmental protection of the integrated energy system, optimizing the comprehensive energy storage mathematical model, and can also ensure the scheduling and management of multiple energy sources to maximize the comprehensive benefits. In addition, the simulation model of the integrated energy system includes a digital simulation module, a physical simulation module and a power interface module, which can realize digital-physical hybrid simulation, has high simulation reliability, and can analyze the integrated energy system more accurately, thereby realizing the rational use of integrated energy.

[0063] In some embodiments, step S100 includes:

[0064] Through the preset load forecasting model, the load forecasting of the integrated energy system is carried out to obtain the load forecasting data.

[0065] In order to ensure the accuracy of load forecast data, before simulating the integrated energy system, it is necessary to use a preset load forecast model to periodically forecast the load of the integrated energy system and obtain load forecast data. It should be noted that the preset load forecast model is a neural network model, and the time period for load forecasting of the integrated energy system can be set according to actual needs, that is, the time period for load forecasting of the integrated energy system is input by setting time parameters, and then the data that meets the forecast is periodically sent to the simulation model, so that the integrated energy system can be simulated and optimized through the simulation model and load forecast data, which can improve the simulation reliability and analyze the integrated energy system more accurately.

[0066] Reference Figure 2 In some embodiments, step S200 includes:

[0067] S210, obtaining an optimization target and an optimization target function in the structure of the integrated energy system;

[0068] S220, constructing an energy storage mathematical model according to the optimization target and the optimization objective function;

[0069] S230, performing structural optimization on the energy storage mathematical model according to the genetic algorithm and preset optimization conditions.

[0070] In order to maximize the comprehensive benefits of the integrated energy system, it is also necessary to obtain the optimization objectives and optimization objective functions in the structure of the integrated energy system, and build an energy storage mathematical model based on the optimization objectives and optimization objective functions. At the same time, the structure of the energy storage mathematical model is optimized according to the genetic algorithm and the preset optimization conditions. Specifically, the optimization objectives in the structure of the integrated energy system include the economy, energy saving and environmental protection of the integrated system. The optimization objective function is Since the ratio of fuel consumption of gas / oil boilers to CHP equipment in the integrated energy system is The ratio of the total cooling capacity of the integrated energy system to the total electricity demand is The ratio of total heat demand to total electricity demand of the integrated energy system is Among them, F AB is the total amount of fuel used for the boiler, and the ratio of the cooling capacity provided by the refrigeration equipment to the total cooling capacity demand is The ratio of photovoltaic and other new energy converted into equivalent standard coal to the total power of the system is In this way, the annual comprehensive energy efficiency expression of the comprehensive energy system is The ratio of the amount of fuel consumed by the CHP equipment to the total power demand of the system is Therefore, the optimization function corresponding to the energy storage mathematical model with the annual comprehensive energy efficiency of the system as the optimization target is η=f(α, β, x, y, z, u), wherein α and β represent the configuration scheme of the comprehensive energy system, the variables x, y, and z represent the total cooling, heating, and electricity demand structures of regional users respectively, and u represents the utilization of local renewable energy. Then, the energy storage mathematical model is solved according to the genetic algorithm, and the structure of the energy storage mathematical model is optimized according to the preset optimization conditions. When the optimization of the energy storage mathematical model reaches the maximum number of iterations or meets the preset constraints, the final optimization scheduling result is output, so as to obtain the optimal energy storage mathematical model according to the final optimization scheduling result. Such an energy storage mathematical model takes comprehensive energy efficiency as the objective function, fully considers the economy, energy saving, and environmental protection of the comprehensive energy system, optimizes the comprehensive energy storage mathematical model, and can also ensure the scheduling and management of multiple energy sources to maximize the comprehensive benefits.

[0071] Reference Figure 3 In some embodiments, the simulation model includes a digital simulation module, and step S400 includes:

[0072] S410, acquiring an external signal in each integral compensation cycle;

[0073] S420, performing simulation optimization on the digital simulation model in the digital simulation module according to the external signal and the load forecast data.

[0074] In order to improve the simulation reliability, the digital simulation module in the simulation model obtains external signals in each integral compensation cycle, and solves the digital simulation model in the digital simulation module according to the external signals and load forecast data to realize the simulation optimization of the digital simulation model. At the same time, the digital simulation module will also output analog signals, and transmit the output analog signals to the physical simulation module through the power interface module to stimulate the physical simulation module. In this way, digital-physical hybrid simulation can be realized with high simulation reliability, and the integrated energy system can be analyzed more accurately, thereby realizing the rational utilization of integrated energy.

[0075] In some embodiments, the simulation model further includes a power interface module, and step S400 further includes:

[0076] The interface algorithm of the power interface module is optimized according to the DIM algorithm.

[0077] In order to further improve the simulation stability and accuracy, it is also necessary to optimize the interface algorithm of the power interface module according to the DIM algorithm, that is, to calculate the corresponding error amount of the interface algorithm of the algorithm unit through the DIM algorithm to verify the correctness of the interface algorithm. It should be explained that the DIM algorithm refers to an algorithm based on the dimension dim. Different values ​​of dim represent different dimensions. When the dimension dim is used, only the dimension specified by dim is variable, and the others are fixed. In this application, the open-loop transfer function of the DIM algorithm is In this way, the error of the interface algorithm can be easily calculated, and the interface algorithm can be optimized according to the calculated error to improve the simulation stability and accuracy.

[0078] Reference Figure 4 and Figure 6 In some embodiments, the simulation model further includes a physical simulation module, the power interface module includes a digital-to-analog converter and a power amplifier, and step S400 further includes:

[0079] S430, obtaining a digital signal output by a digital simulation module;

[0080] S440, converting the digital signal into an analog signal through a digital-to-analog converter;

[0081] S450, amplifying the analog signal through a power amplifier, and outputting the amplified analog signal to the physical simulation module to drive the physical simulation module to work normally.

[0082] In order to realize energy exchange and information exchange between the digital simulation module 641 and the physical simulation module 642, the power interface module 643 includes a hardware unit, and the hardware unit includes a digital-to-analog converter 644, an analog-to-digital converter 646, a power amplifier 645 and a voltage / current transformer 647, etc. The power amplifier 645 can be a four-quadrant power amplifier. The digital-to-analog converter 644 is respectively connected to the digital simulation module 641 and the power amplifier 645, the analog-to-digital converter 646 is respectively connected to the digital simulation module 641 and the voltage / current transformer 647, and the physical simulation module 642 is respectively connected to the power amplifier 645 and the voltage / current transformer 647. In this way, the digital-to-analog converter 644 can obtain the digital signal output by the digital simulation module 641, and convert the digital signal into an analog signal and then output it to the power amplifier 645. The analog signal is amplified by the power amplifier 645 and transmitted to the physical simulation module 642, so that the physical simulation model of the physical simulation module 642 can be driven to work normally. In this way, digital-physical hybrid simulation can be realized, and the simulation reliability and simulation stability are high.

[0083] In some embodiments, step S400 further includes:

[0084] The physical simulation model in the physical simulation module is scaled according to a preset scaling ratio.

[0085] In order to realize the physical simulation of the integrated energy system and achieve accurate simulation of the electrical components in the integrated energy system, the physical simulation module can scale the physical simulation model in the physical simulation module according to the received simulation signal and the preset scaling ratio, so as to accurately simulate the electrical components in the integrated energy system, so that the proportion of each electrical component can meet the simulation requirements, thereby improving the simulation reliability and the accuracy of the analysis of the integrated energy system.

[0086] Second, refer to Figure 5 , the integrated energy system simulation device of the embodiment of the present invention comprises:

[0087] The data acquisition module 610 is used to acquire the load forecast data of the integrated energy system;

[0088] The mathematical model structure optimization module 620 is used to optimize the energy storage structure of the integrated energy system and obtain an energy storage mathematical model;

[0089] A simulation model building module 630 is used to build a simulation model of the integrated energy system according to the energy storage mathematical model;

[0090] The simulation optimization module 640 is used to perform simulation optimization on the integrated energy system according to the load forecast data and the simulation model.

[0091] In the process of simulating the integrated energy system, the data acquisition module 610 first obtains the load forecast data of the integrated energy. It can be through a preset load forecast model to periodically forecast the load of the integrated energy system to obtain the load forecast data. At the same time, the mathematical model structure optimization module 620 is also required to optimize the structure of the integrated energy system to obtain the optimal energy storage mathematical model. Specifically, the optimization target and optimization objective function in the structure of the integrated energy system are obtained, and the energy storage mathematical model is constructed according to the optimization target and the optimization objective function. For example, the annual comprehensive energy efficiency of the integrated energy system is taken as the optimization target, and the minimization of the operation and maintenance cost is taken as the optimization objective function to construct the mathematical model of the energy storage system, so that the structure of the energy storage mathematical model is optimized according to the genetic algorithm and the preset optimization conditions. In this way, the simulation model construction module 630 can construct a simulation model of the integrated energy system according to the energy storage mathematical model, wherein the simulation model includes a digital simulation module, a physical simulation module and a power interface module, and the power interface module is respectively connected to the digital simulation module and physical simulation module, transmits and processes signals through the algorithm unit in the power interface module, so that the simulation optimization module 640 can realize the digital simulation of the integrated energy system according to the simulation model, that is, send the load forecast data to the simulation model, and simulate and optimize the integrated energy system according to the load forecast data and the simulation model. This simulation method constructs the simulation model of the integrated energy system through the energy storage mathematical model, taking into account the characteristics of the integrated energy system, and can reduce costs and improve energy efficiency. At the same time, the energy storage mathematical model takes the comprehensive energy efficiency as the objective function, and fully considers the economy, energy saving and environmental protection of the integrated energy system. Optimizing the comprehensive energy storage mathematical model can also ensure the scheduling and management of multiple energy sources and maximize the comprehensive benefits. In addition, the simulation model of the integrated energy system includes a digital simulation module, a physical simulation module and a power interface module, which can realize digital-physical hybrid simulation, have high simulation reliability, and can analyze the integrated energy system more accurately, thereby realizing the rational use of integrated energy.

[0092] Reference Figure 6In some embodiments, the simulation model includes a digital simulation module 641, a physical simulation module 642 and a power interface module 643. The power interface module 643 is connected to the digital simulation module 641 and the physical simulation module 642 respectively, and transmits and processes signals through the algorithm unit in the power interface module 643. At the same time, in order to realize energy exchange and information exchange between the digital simulation module 641 and the physical simulation module 642, the power interface module 643 includes a hardware unit. The hardware unit includes a digital-to-analog converter 644, an analog-to-digital converter 646, a power amplifier 645 and a voltage / current transformer 647, etc. The power amplifier 645 can be a four-quadrant power amplifier, and the digital-to-analog converter 64 4 are respectively connected to the digital simulation module 641 and the power amplifier 645, the analog-to-digital converter 646 is respectively connected to the digital simulation module 641 and the voltage / current transformer 647, and the physical simulation module 642 is respectively connected to the power amplifier 645 and the voltage / current transformer 647, so that the digital-to-analog converter 644 can receive the digital signal output by the digital simulation module 641, convert the digital signal into an analog signal and then output it to the power amplifier 645, and the analog signal is amplified by the power amplifier 645 and then transmitted to the physical simulation module 642, so as to drive the physical simulation model of the physical simulation module 642 to work normally, so as to realize digital-physical hybrid simulation, and the simulation reliability and simulation stability are high.

[0093] In a third aspect, an electronic device according to an embodiment of the present invention comprises at least one processor and a memory communicatively connected to the at least one processor; wherein the memory stores instructions, and the instructions are executed by the at least one processor so that when the at least one processor executes the instructions, an integrated energy system simulation method according to the embodiment of the first aspect is implemented.

[0094] The electronic device according to the embodiment of the present invention has at least the following beneficial effects: the electronic device adopts the above-mentioned integrated energy system simulation method, obtains the load forecast data of the integrated energy system, optimizes the structure of the integrated energy system, obtains the energy storage mathematical model, and constructs a simulation model of the integrated energy according to the energy storage mathematical model, and then simulates and optimizes the integrated energy system according to the load forecast data and the simulation model. The simulation reliability of this integrated energy system simulation method is high, and the integrated energy system can be analyzed more accurately, thereby realizing the rational use of the integrated energy.

[0095] In a fourth aspect, the present invention further provides a computer-readable storage medium, wherein the computer-readable storage medium stores computer-executable instructions, and the computer-executable instructions are used to enable a computer to execute the integrated energy system simulation method according to the first aspect.

[0096] The computer-readable storage medium according to the embodiment of the present invention has at least the following beneficial effects: the computer-readable storage medium executes the above-mentioned integrated energy system simulation method by obtaining the load forecast data of the integrated energy system and optimizing the structure of the integrated energy system, thereby obtaining an energy storage mathematical model, and constructing a simulation model of the integrated energy according to the energy storage mathematical model, and then simulating and optimizing the integrated energy system according to the load forecast data and the simulation model. The simulation reliability of this integrated energy system simulation method is high, and the integrated energy system can be analyzed more accurately, thereby realizing the rational use of the integrated energy.

[0097] The embodiments of the present invention are described in detail above in conjunction with the accompanying drawings, but the present invention is not limited to the above embodiments. Various changes can be made within the knowledge of ordinary technicians in the relevant technical field without departing from the purpose of the present invention. In addition, the embodiments of the present invention and the features in the embodiments can be combined with each other without conflict.

Claims

1. A comprehensive energy system simulation method, characterized in that: include: Obtain load forecast data for integrated energy systems; Optimizing the structure of the integrated energy system to obtain a mathematical model of energy storage; The step of optimizing the structure of the integrated energy system to obtain an energy storage mathematical model includes: Obtaining an optimization objective and an optimization objective function in the structure of the integrated energy system; Constructing the energy storage mathematical model according to the optimization target and the optimization objective function; According to the genetic algorithm and the preset optimization conditions, the energy storage mathematical model is structurally optimized; The optimization function corresponding to the energy storage mathematical model with the annual comprehensive energy efficiency of the system as the optimization target is η=f(α,β,x,y,z,u), where α and β represent the configuration scheme of the comprehensive energy system, the variables x, y, and z represent the total cooling, heating, and electricity demand structure of regional users respectively, and u represents the utilization of local renewable energy; Constructing a simulation model of the integrated energy system according to the energy storage mathematical model; Performing simulation optimization on the integrated energy system according to the load forecast data and the simulation model; The simulation model includes a digital simulation module, which performs simulation optimization on the integrated energy system according to the load forecast data and the simulation model, including: In each integral compensation cycle, an external signal is obtained; Performing simulation optimization on the digital simulation model in the digital simulation module according to the external signal and the load forecast data; The simulation model further includes a power interface module, which performs simulation optimization on the integrated energy system according to the load forecast data and the simulation model, and further includes: Optimizing the interface algorithm of the power interface module according to the DIM algorithm; The simulation model further includes a physical simulation module, the power interface module includes a digital-to-analog converter and a power amplifier, and the integrated energy system is simulated and optimized according to the load forecast data and the simulation model, and further includes: Acquire a digital signal output by the digital simulation module; Converting the digital signal into an analog signal by means of the digital-to-analog converter; The analog signal is amplified by the power amplifier, and the amplified analog signal is output to the physical simulation module to drive the physical simulation module to work normally.

2. The integrated energy system simulation method according to claim 1, characterized in that: The obtaining of load forecast data of the integrated energy system includes: The load forecasting data is obtained by performing load forecasting on the integrated energy system through a preset load forecasting model.

3. The integrated energy system simulation method according to claim 1, characterized in that: The integrated energy system is simulated and optimized according to the load forecast data and the simulation model, further comprising: The physical simulation model in the physical simulation module is scaled according to a preset scaling ratio.

4. Integrated energy system simulation device, characterized in that: include: A data acquisition module, used to obtain load forecast data of the integrated energy system; A mathematical model structure optimization module is used to optimize the structure of the comprehensive energy system to obtain an energy storage mathematical model; A simulation model building module, used to build a simulation model of the integrated energy system according to the energy storage mathematical model; A simulation optimization module, used for performing simulation optimization on the integrated energy system according to the load forecast data and the simulation model; The simulation model includes a digital simulation module, a power interface module and a physical simulation module, and the power interface module includes a digital-to-analog converter and a power amplifier; The mathematical model structure optimization module includes: Obtaining an optimization objective and an optimization objective function in the structure of the integrated energy system; Constructing the energy storage mathematical model according to the optimization target and the optimization objective function; According to the genetic algorithm and the preset optimization conditions, the energy storage mathematical model is structurally optimized; The optimization function corresponding to the energy storage mathematical model with the annual comprehensive energy efficiency of the system as the optimization target is η=f(α,β,x,y,z,u), where α and β represent the configuration scheme of the comprehensive energy system, the variables x, y, and z represent the total cooling, heating, and electricity demand structure of regional users respectively, and u represents the utilization of local renewable energy; The simulation optimization module comprises: In each integral compensation cycle, an external signal is obtained; Performing simulation optimization on the digital simulation model in the digital simulation module according to the external signal and the load forecast data; Optimizing the interface algorithm of the power interface module according to the DIM algorithm; Acquire a digital signal output by the digital simulation module; Converting the digital signal into an analog signal by means of the digital-to-analog converter; The analog signal is amplified by the power amplifier, and the amplified analog signal is output to the physical simulation module to drive the physical simulation module to work normally.

5. An electronic device, characterized in that include: at least one processor, and a memory communicatively connected to the at least one processor; wherein, The memory stores instructions, and the instructions are executed by the at least one processor, so that the at least one processor implements the integrated energy system simulation method as described in any one of claims 1 to 3 when executing the instructions.

6. A computer-readable storage medium, characterized in that The computer-readable storage medium stores computer-executable instructions, and the computer-executable instructions are used to enable a computer to execute the integrated energy system simulation method according to any one of claims 1 to 3.

Images