Source-network-load-storage integrated modeling simulation method, source-network-load-storage integrated system simulation verification platform and storage medium
By selecting simulation equipment and energy connectors on the simulation verification platform of the source network load storage integrated system, the topological relationship and multi-dimensional equation system of the energy system are constructed, and the problem of low simulation efficiency of the source network load storage integrated system in the existing technology is solved, and a fast and efficient simulation process is achieved.
Patent Information
- Application Number
- CN202510109043.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-01-23
- Publication Date
- 2025-05-27
AI Technical Summary
It is difficult for the existing technology to quickly and efficiently model and simulate the source, network, load and storage integrated system, resulting in complex simulation calculations, large calculation amounts, long time, and low simulation efficiency.
By selecting multiple simulation devices and energy connectors connecting simulation devices of different energy types from the equipment model library of the source network load storage integrated system simulation verification platform, the topology structure of each simulation device constructed based on the energy balance model is obtained, and the topology relationship of the actual energy system is constructed using the topology structure and energy connectors, and then multiple multi-order equations are obtained and simulated to obtain the simulation operation status of each simulation device.
It realizes rapid and efficient modeling and simulation of the source, network, load and storage integrated system, reduces modeling difficulty, shortens simulation time, and improves simulation efficiency.
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Figure CN120046283A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the field of energy, and in particular to a source-grid-load-storage integrated modeling and simulation method, a source-grid-load-storage integrated system simulation and verification platform, and a storage medium. Background Art
[0002] In order to increase the proportion of new energy utilization and improve the energy utilization efficiency of users, the source-grid-load-storage integrated system has emerged as a new energy use model. The source-grid-load-storage integrated system refers to a system that vertically plans and operates energy generation, energy transmission, energy consumption and energy storage as a whole, and horizontally complements multiple energy sources such as cold, heat and electricity, thereby achieving coordinated control and operation between the source, grid, load and storage.
[0003] The coordination control strategy between the source, grid, load and storage is the key to realize the safe, economical and efficient operation of the source, grid, load and storage integrated system. The quality of the coordination control strategy between the source, grid, load and storage determines the quality of various safety and economic indicators of the source, grid, load and storage integrated system. The wrong coordination control strategy may even lead to serious safety accidents. Therefore, before the source, grid, load and storage integrated system is officially put into operation, it is very important to simulate and verify the coordination control strategy of the source, grid, load and storage integrated system. Since the source, grid, load and storage integrated system contains a variety of equipment, and a variety of equipment involves multiple physical systems, different physical systems have different physical properties and dynamic equations. Therefore, when modeling and simulating the source, grid, load and storage integrated system, firstly, due to the different physical properties and dynamic equations of different equipment, the simulation calculation model is very complex, and secondly, the simulation calculation amount is very large, and the simulation time is long, resulting in low simulation efficiency.
[0004] Therefore, there is an urgent need for a fast and efficient modeling and simulation method for the source-grid-load-storage integrated system. Summary of the invention
[0005] In view of this, the purpose of this application is to provide a source-grid-load-storage integrated modeling and simulation method, a source-grid-load-storage integrated system simulation and verification platform, and a storage medium, which can quickly and efficiently model and simulate the source-grid-load-storage integrated system.
[0006] To achieve the above purpose, this application has the following technical solutions:
[0007] The present application provides a source-grid-load-storage integrated modeling and simulation method, characterized in that the method comprises:
[0008] Select multiple simulation devices and energy connectors that connect simulation devices of different energy types from the device model library of the source-grid-load-storage integrated system simulation verification platform according to the actual energy system;
[0009] Acquire the topological structure of each simulated device constructed based on the energy balance model, and construct the topological relationship of the actual energy system using the topological structure and the energy connector;
[0010] Obtaining energy transmission equations between the plurality of simulation devices according to the topological relationship;
[0011] Constructing a multivariate equation group of the actual energy system according to the energy conversion constraint equation of each simulated device, the energy balance model and the energy transmission equation;
[0012] The multivariate multi-order equations are solved by simulation to obtain the simulation running status of each of the simulated devices.
[0013] Optionally, the energy balance model includes an energy relationship equation between input energy input from the input port and output energy output from the output port;
[0014] The obtaining of the topological structure of each simulated device constructed based on the energy balance model comprises:
[0015] Constructing a topological structure of each simulated device based on the energy relationship equation;
[0016] The multivariate equation group of the actual energy system obtained according to the energy conversion constraint equation of each simulated device, the energy balance model and the energy transmission equation includes:
[0017] The multivariate equation group of the actual energy system is obtained according to the energy conversion constraint equation of each simulated device, the energy relationship equation and the energy transmission equation.
[0018] Optionally, the simulated device type includes a source device;
[0019] The topological structure of each simulated device is constructed based on the energy relationship equation, including:
[0020] The topological structure of the source device constructed based on the energy relationship equation is a structure having only output ports.
[0021] Optionally, the simulated device type includes a load device;
[0022] The topological structure of each simulated device is constructed based on the energy relationship equation, including:
[0023] The topological structure of the load device constructed based on the energy relationship equation is a structure with only input ports.
[0024] Optionally, the simulated device type includes an energy storage device;
[0025] The topological structure of each simulated device is constructed based on the energy relationship equation, including:
[0026] The topological structure of the energy storage device constructed based on the energy relationship equation is a structure with only output ports, and the positive and negative energy of the output port of the energy storage device is used to indicate whether the energy storage device releases energy or stores energy.
[0027] Optionally, the simulation device type includes a network device, and the energy relationship equation of the network device includes a conversion coefficient;
[0028] The topological structure of each simulated device is constructed based on the energy relationship equation, including:
[0029] The topological structure of the network device constructed based on the energy relationship equation is a structure with an input port and an output port, and the input energy of the input port is the product of the output energy of the output port and the conversion coefficient.
[0030] Optionally, the simulating and solving the multivariate multi-order equation group to obtain the simulation running state of each of the simulation devices includes:
[0031] The multivariate equation group is solved by simulating the initial state of each simulated device, the total output energy of the source device, and the total input energy of the load device in the coordinated control strategy to obtain the simulated operating state of each simulated device.
[0032] Optionally, the different energy types include electrical energy flow, thermal energy flow and cooling energy flow, and the energy connector includes an energy concentrator and an energy separator;
[0033] The topological relationship of the actual energy system constructed by using the topological structure and the energy connector includes:
[0034] In combination with the topological structure, the energy concentrator and the energy separator are used to topologically connect the simulation devices corresponding to the electric energy flow, the thermal energy flow and the cooling flow, so as to construct a topological relationship of the actual energy system.
[0035] The present application provides a source-grid-load-storage integrated system simulation verification platform, the source-grid-load-storage integrated system simulation verification platform comprising: a modeling tool module and a system simulation module;
[0036] The modeling tool module is used to select multiple simulation devices and energy connectors that connect simulation devices of different energy types from the device model library of the source-grid-load-storage integrated system simulation verification platform according to the actual energy system; obtain the topological structure of each simulation device constructed based on the energy balance model, and use the topological structure and the energy connector to construct the topological relationship of the actual energy system;
[0037] The system simulation module is used to obtain the energy transfer equation between multiple simulated devices according to the topological relationship; to construct a multivariate equation group of the actual energy system according to the energy conversion constraint equation of each simulated device, the energy balance model and the energy transfer equation; and to simulate and solve the multivariate equation group to obtain the simulated operating status of each simulated device.
[0038] The present application provides a computer storage medium, which is used to store a computer program. When the computer program is run on a computer device, the computer device executes any one of the above methods.
[0039] The present application provides a source-grid-load-storage integrated modeling and simulation method, the method comprising: selecting multiple simulation devices and energy connectors connecting simulation devices of different energy types from a device model library of a source-grid-load-storage integrated system simulation verification platform according to an actual energy system, obtaining a topological structure of each simulation device constructed based on an energy balance model, and constructing a topological relationship of the actual energy system using the topological structure and the energy connector, that is, using the topological structure of each simulation device to assist in constructing a topological relationship between different simulation devices, thereby eliminating the need to utilize the physical characteristics and dynamic equations of each simulation device, greatly reducing the difficulty of modeling the source-grid-load-storage integrated system; obtaining energy transmission equations between multiple simulation devices according to the topological relationship, constructing a multivariate multiple equation group of the actual energy system according to the energy conversion constraint equation, energy balance model and energy transmission equation of each simulation device, simulating and solving the multivariate multiple equation group to obtain a simulation operation state of each simulation device, that is, assisting in constructing a multivariate multiple equation group for energy flow between different simulation devices according to the topological relationship, greatly reducing the amount of simulation calculation, and improving the simulation speed, thereby shortening the simulation time, improving the simulation efficiency, and realizing fast and efficient modeling and simulation of the source-grid-load-storage integrated system. BRIEF DESCRIPTION OF THE DRAWINGS
[0040] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.
[0041] Figure 1 A schematic diagram of a flow chart of a source-grid-load-storage integrated modeling and simulation method provided in an embodiment of the present application is shown;
[0042] Figure 2 A schematic diagram of a source-grid-load-storage integrated system provided in an embodiment of the present application is shown;
[0043] Figure 3 A schematic diagram of a simulation device provided in an embodiment of the present application is shown;
[0044] Figure 4 A schematic diagram of an energy concentrator provided by an embodiment of the present application is shown;
[0045] Figure 5 A schematic diagram of an energy separator provided in an embodiment of the present application is shown;
[0046] Figure 6 A schematic diagram of a topological structure of a heat pump provided in an embodiment of the present application is shown;
[0047] Figure 7 A schematic diagram of a topological structure of a gas turbine provided in an embodiment of the present application is shown;
[0048] Figure 8 A schematic diagram of the topological structure of an electric boiler provided in an embodiment of the present application is shown;
[0049] Fig. 9 A schematic diagram of an energy conversion constraint equation for an electric boiler provided in an embodiment of the present application is shown;
[0050] Fig.10 A schematic diagram of the topological relationship of a source-grid-load-storage integrated system provided in an embodiment of the present application is shown;
[0051] Fig.11 A schematic diagram of the topological relationship of another source-grid-load-storage integrated system provided in an embodiment of the present application is shown;
[0052] Fig.12 A schematic diagram of modeling and simulation under a coordinated control strategy provided by an embodiment of the present application is shown;
[0053] Fig.13 A structural schematic diagram of a source-grid-load-storage integrated system simulation verification platform provided in an embodiment of the present application is shown. DETAILED DESCRIPTION
[0054] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are described in detail below with reference to the accompanying drawings.
[0055] In the following description, many specific details are set forth to facilitate a full understanding of the present application, but the present application may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present application. Therefore, the present application is not limited to the specific embodiments disclosed below.
[0056] The traditional power supply mode of the power system is mainly centralized, with independent operation of generation, transmission and distribution (power supply side, grid side and load side). As the proportion of renewable energy power generation output gradually increases, the traditional power supply mode will face huge challenges, and the frequency and voltage fluctuation problems of the power system will become more and more serious. When the safe operation of the power grid is affected, a large number of wind and solar power abandonment will occur.
[0057] In order to increase the proportion of new energy utilization and improve the energy utilization efficiency of users, the source-grid-load-storage integrated system has emerged as a new energy use model. It plans and operates the power supply, power grid, load and energy storage as a whole. At the same time, in order to further improve the efficiency of energy utilization, the cold, heat and electricity multi-energy complementation is carried out on the basis of the source-grid-load-storage integrated system. The source-grid-load-storage integration can provide infrastructure and platform support for multi-energy complementation, and multi-energy complementation can promote the in-depth development and improvement of the source-grid-load-storage integration. In other words, the source-grid-load-storage integrated system refers to a system that vertically plans and operates energy generation, energy transmission, energy consumption and energy storage as a whole, and horizontally complements multiple energy sources such as cold, heat and electricity, so as to achieve coordinated control and operation between the source-grid-load-storage system.
[0058] As the brain of the source-grid-load-storage integrated system, the coordinated control strategy between the source-grid-load-storage is the key to achieving safe, economical and efficient operation of the source-grid-load-storage integrated system. The quality of the coordinated control strategy between the source-grid-load-storage determines the quality of various safety and economic indicators of the source-grid-load-storage integrated system. Incorrect coordinated control strategy may even lead to serious safety accidents. Therefore, before the source-grid-load-storage integrated system is officially put into operation, it is very important to simulate and verify the coordinated control strategy of the source-grid-load-storage integrated system. Since the source-grid-load-storage integrated system contains multiple devices, multiple devices involve multiple physical systems, and different physical systems have different physical properties and dynamic equations, when modeling and simulating the source-grid-load-storage integrated system, firstly, due to the different physical properties and dynamic equations of different devices, the simulation calculation model is very complex, and secondly, the simulation calculation amount is very large, the simulation time is long, resulting in low simulation efficiency.
[0059] Moreover, due to the high difficulty of modeling and simulating the integrated source-grid-load-storage system, the simulation calculation efficiency is low, and only offline simulation can be performed, which cannot meet the real-time requirements of collaborative control strategy verification of traditional large power grids and their control strategy simulation verification. In addition, the current real-time simulation platforms are all based on the physical dynamic characteristics of physical systems for modeling and simulation, and can only perform real-time simulation of a single physical system, and cannot perform joint real-time simulation of multiple physical systems.
[0060] Therefore, there is an urgent need for a fast and efficient modeling and simulation method for the source-grid-load-storage integrated system.
[0061] Based on this, the present application provides a source-grid-load-storage integrated modeling and simulation method, the method comprising: selecting multiple simulation devices and energy connectors connecting simulation devices of different energy types from the device model library of the source-grid-load-storage integrated system simulation verification platform according to the actual energy system, obtaining the topological structure of each simulation device constructed based on the energy balance model, and constructing the topological relationship of the actual energy system using the topological structure and the energy connector, that is, using the topological structure of each simulation device to assist in constructing the topological relationship between different simulation devices, thereby eliminating the need to utilize the physical characteristics and dynamic equations of each simulation device, greatly reducing the difficulty of modeling the source-grid-load-storage integrated system; obtaining the energy transmission equations between multiple simulation devices according to the topological relationship, constructing a multivariate multivariate equation group of the actual energy system according to the energy conversion constraint equation, energy balance model and energy transmission equation of each simulation device, simulating and solving the multivariate multivariate equation group to obtain the simulation operation status of each simulation device, that is, assisting in constructing a multivariate multivariate equation group for energy flow between different simulation devices according to the topological relationship, greatly reducing the simulation calculation amount, and improving the simulation speed, thereby shortening the simulation time, improving the simulation efficiency, and realizing fast and efficient modeling and simulation of the source-grid-load-storage integrated system.
[0062] In order to better understand the technical solution and technical effects of the present application, specific embodiments will be described in detail below with reference to the accompanying drawings.
[0063] refer to Figure 1 FIG. 1 is a flow chart of a source-grid-load-storage integrated modeling and simulation method provided in an embodiment of the present application, and the method comprises the following steps:
[0064] S101, selecting multiple simulation devices and energy connectors that connect simulation devices of different energy types from a device model library of a source-grid-load-storage integrated system simulation verification platform according to an actual energy system.
[0065] In an embodiment of the present application, a simulation and verification platform for an integrated source-grid-load-storage system includes a device model library, which includes simulation devices corresponding to multiple actual devices, so that the actual devices can be simulated using the simulation devices. Considering that the integrated source-grid-load-storage system modeling and simulation is to be performed on the actual energy system, multiple simulation devices corresponding to multiple actual devices can be selected from the device model library of the simulation and verification platform for the integrated source-grid-load-storage system according to the multiple actual devices included in the actual energy system.
[0066] Among them, multiple simulation devices have different simulation device types, and the simulation device types include source devices, network devices, load devices and energy storage devices. Source devices may include photovoltaic power generation equipment, wind power generation equipment, grid power supply equipment and natural gas input equipment, etc., network devices may include cold grid equipment and hot grid equipment, load devices may include power load equipment, heating load equipment and refrigeration load equipment, and energy storage devices may include battery energy storage equipment and phase change heat storage equipment, etc.
[0067] Simulation devices of different simulation device types can form different energy types, including electrical energy flow, thermal energy flow, and cooling flow.
[0068] refer to Figure 2 As shown, Figure 2 A schematic diagram of a source-grid-load-storage integrated system provided in an embodiment of the present application. Figure 2 The energy flow relationship between multiple simulation devices of different simulation device types and different energy types is illustrated in FIG.
[0069] As a possible implementation method, in order to facilitate unified modeling and establish connection relationships between different analog devices, the analog device is defined as a multi-port device, and the port includes an input port and an output port. The analog devices can be connected through the ports.
[0070] refer to Figure 3 As shown, Figure 3 A schematic diagram of a simulation device provided in an embodiment of the present application. Figure 3 The analog device is also called an energy device, which includes m input ports and n output ports, where m and n are integers greater than or equal to 0.
[0071] In order to facilitate the connection between simulation devices, energy connectors can be defined. Energy connectors are used to connect simulation devices of different energy types, thereby realizing the aggregation or decentralized output of different energy types.
[0072] As a possible implementation method, the energy connector includes an energy concentrator and an energy separator. The energy concentrator collects the input energy of the same energy type of different analog devices and uniformly outputs the energy as the input energy of another analog device; the energy separator disperses the output energy of a certain analog device into output energy of different energy types and inputs it to different analog devices. The energy concentrator and energy separator are established to define the topological relationship between analog devices. They are ideal components and there is no energy loss.
[0073] refer to Figure 4 As shown, Figure 4 A schematic diagram of an energy concentrator provided in an embodiment of the present application. Figure 4The input energy input from the input port is equal to the output energy output from the output port, that is, Eout(1)=Ein(1)+Ein(2)+…+Ein(m).
[0074] refer to Figure 5 As shown, Figure 5 A schematic diagram of an energy separator provided in an embodiment of the present application. Figure 5 The input energy input from the input port is equal to the output energy output from the output port, that is, Ein(1)=Eout(1)+Eout(2)+…+Eout(m).
[0075] S102, obtaining the topological structure of each simulated device constructed based on the energy balance model, and constructing the topological relationship of the actual energy system using the topological structure and the energy connector.
[0076] In an embodiment of the present application, after the simulation devices to be modeled and simulated are determined according to the actual energy system, the topology structure of each simulation device can be constructed based on the energy balance model.
[0077] Considering that all devices, whether actual or simulated, follow the law of energy balance, that is, input energy = output energy, the energy balance model corresponding to each simulated device can be obtained based on the law of energy balance.
[0078] As an example, in Figure 3 Based on this, the energy balance model can be illustrated using the following formula.
[0079]
[0080] Among them, E in (k) is the input energy of input port k, E out (k) is the output energy of output port k, E loss For energy loss.
[0081] As a possible implementation, the energy balance model includes an energy relationship equation between input energy input from an input port and output energy output from an output port, and then a topology structure of each simulation device is constructed based on the energy relationship equation.
[0082] Considering that the energy relationship equations of different simulation devices are different, the topological structure of each simulation device is also different, which is described in detail below.
[0083] The analog device types include source devices. Source devices are energy generating devices with no energy input. Therefore, the topological structure of the source device constructed based on the energy relationship equation of the source device is a structure with only output ports, that is, the source device is a single-ended device with only one output port and only E out, no E in .
[0084] The types of simulated devices include load devices. Load devices are energy consumption devices without energy output. Therefore, the topological structure of the load device constructed based on the energy relationship equation of the load device is a structure with only input ports, that is, the load device is a single-ended device with only one input port and only E in , no E out .
[0085] The types of analog devices include energy storage devices. Energy storage devices are energy storage devices that can input and output energy. However, energy input is required before energy output. Therefore, the topological structure of the energy storage device based on the energy relationship equation of the energy storage device is a structure with only output ports. The positive and negative energy of the output port of the energy storage device indicates whether the energy storage device releases energy or stores energy. That is, the energy storage device is a single-ended device with only one output port and only E out , no E in , when E out When E is positive, the energy storage device releases energy. out When it is negative, the energy storage device stores energy.
[0086] The types of simulation devices include network devices. Network devices are energy transmission devices. Network devices can perform energy conversion, so the energy relationship equation of the network device includes a conversion coefficient. Therefore, the topological structure of the network device constructed based on the energy relationship equation of the network device is a structure with input ports and output ports, and the input energy of the input port is the product of the output energy of the output port and the conversion coefficient.
[0087] As an example, the grid device is a heat pump, which converts electrical energy into cold energy. Figure 6 As shown, Figure 6 A schematic diagram of a topological structure of a heat pump provided in an embodiment of the present application. The input port of the heat pump is used for power input, and the output port of the heat pump is used for cooling output. The energy relationship equation of the heat pump is Eout(1)=Ein(1)×COP, where COP is the coefficient of refrigeration performance, and COP may be greater than 1, so the output energy may be greater than the input energy.
[0088] As another example, the grid equipment is a gas turbine that converts natural gas into electricity and heat. Figure 7 As shown, Figure 7A schematic diagram of the topological structure of a gas turbine provided in an embodiment of the present application. The input port of the gas turbine is used for natural gas input, and the output port of the gas turbine is used for power output and heat output. The energy relationship equation of the gas turbine is Ein(1)=Eout(1)+Eout(2)+Eloss. According to the operating characteristics of the gas turbine, the energy relationship equation is rewritten as: Eout(1)=Ein(1)×η1; Eout(2)=Eout(1)×η2, where η1 is the power generation efficiency and η2 is the thermal-electric ratio.
[0089] As another example, the grid device is an electric boiler, which converts electrical energy into thermal energy. Figure 8 As shown, Figure 8 A schematic diagram of the topological structure of an electric boiler provided in an embodiment of the present application. The input port of the electric boiler is used for power input, and the output port of the electric boiler is used for heat output. The energy relationship equation of the electric boiler is Ein(1)=Eout(1)+Eloss. According to the operating characteristics of the electric boiler, the energy relationship equation is rewritten as: Ein(1)=Eout(1)×η, where η is the electric-to-heat conversion efficiency.
[0090] The energy relationship equation of each simulated device may have corresponding energy conversion constraints. For example, the energy relationship equation of the network device includes a conversion coefficient with an energy conversion constraint, and the energy conversion constraint may constitute an energy conversion constraint equation.
[0091] As an example, the network device is an electric boiler. The energy relationship equation of the electric boiler includes the electric-thermal conversion efficiency. The electric-thermal conversion efficiency has an energy conversion constraint condition. The energy conversion constraint equation formed by the energy conversion constraint condition is η=a×Ein(1) 2 +b×Ein(1)+c, where a, b and c are the operating parameters of the electric boiler. The energy conversion constraint equation of the electric boiler is referenced Fig. 9 As shown, Fig. 9 A schematic diagram of an energy conversion constraint equation for an electric boiler provided in an embodiment of the present application.
[0092] In an embodiment of the present application, after obtaining the topological structure of each simulated device, the topological relationship of the actual energy system is constructed using the topological structure and the energy connector, that is, the topological relationship for topological connection between multiple simulated devices is obtained.
[0093] As a possible implementation method, based on different energy types including electrical energy flow, thermal energy flow and cooling flow, the energy connector includes an energy concentrator and an energy separator. Therefore, the energy concentrator and the energy separator can be used in combination with the topological structure to topologically connect the simulation devices corresponding to the electrical energy flow, thermal energy flow and cooling flow, and construct the topological relationship of the actual energy system.
[0094] refer to Fig.10 As shown, Fig.10 A schematic diagram of the topological relationship of a source-grid-load-storage integrated system provided in an embodiment of the present application. Fig.10 It can be seen that the simulated equipment includes source equipment, network equipment and load equipment. The source equipment includes photovoltaic power generation equipment and natural gas input equipment, the network equipment includes gas turbine equipment and gas boiler equipment, and the load equipment can include power load equipment and heating load equipment. Combined with the topological structure of each simulated device and the energy concentrator, the electric energy flow and thermal energy flow are concentrated separately to obtain the topological relationship.
[0095] It can be seen that the topological structure of each simulation device can be used to assist in constructing the topological relationship between different simulation devices, thereby eliminating the need to use the physical characteristics and dynamic equations of each simulation device, greatly reducing the difficulty of modeling the source-grid-load-storage integrated system.
[0096] S103, obtaining energy transmission equations between multiple simulation devices according to the topological relationship.
[0097] In an embodiment of the present application, after constructing a model based on topological relationships corresponding to an actual energy system, energy transmission equations between multiple simulated devices can be obtained according to the topological relationships.
[0098] Since different simulation devices are connected through ports and the port connection is defined to have no energy loss, the input and output between different simulation devices have corresponding energy transfer equations.
[0099] refer to Fig.11 As shown, Fig.11 A schematic diagram of the topological relationship of another source-grid-load-storage integrated system provided in an embodiment of the present application. Fig.11 The input energy of device 2 is equal to the output energy of device 1, that is, the energy transfer equation between device 1 and device 2 is E1out(1)=E2in(1).
[0100] refer to Fig.10 As shown, Fig.10 The output energy of the energy concentrator is equal to the input energy of the power load device, that is, the energy transmission equation between the energy concentrator and the power load device is E4out(1)=E6in(1).
[0101] S104, constructing a multivariate equation group of the actual energy system according to the energy conversion constraint equation, energy balance model and energy transmission equation of each simulated device.
[0102] In an embodiment of the present application, based on the energy transmission equations between different simulation devices, the energy balance models corresponding to different simulation devices, and the energy conversion constraint equations of each simulation device, a multivariate multivariate equation group of the actual energy system can be constructed according to the energy conversion constraint equations, energy balance models and energy transmission equations of each simulation device.
[0103] As a possible implementation method, since the energy balance model of each simulated device is different, that is, the energy relationship equation of each simulated device is different, a multivariate multi-order equation group of multiple simulated devices can be obtained based on the energy conversion constraint equation, energy relationship equation and energy transmission equation of each simulated device.
[0104] S105, simulating and solving the multivariate multi-order equation group to obtain the simulation running status of each simulated device.
[0105] In the embodiment of the present application, the constructed multivariate multi-order equation group can be simulated and solved to obtain the simulated operation state of each simulated device, wherein the simulated operation state includes the input energy amount and the output energy amount of each simulated device.
[0106] As a possible implementation method, when simulating and solving a multivariate multi-order equation group, the total output energy of the source device and the total input energy of the load device are usually defined as known quantities. The initial state of each simulated device in the coordinated control strategy, the total output energy of the source device, and the total input energy of the load device are simulated and solved to obtain the simulated operating state of each simulated device.
[0107] Among them, the initial state and operating parameters of each simulated device are different. When the operating parameters are different, the energy conversion constraint equation of each simulated device is different, so the multivariate multiple equation group is also different. Different multivariate multiple equation groups can be constructed by adjusting the initial state and operating parameters of each simulated device, and then the simulated operating state of each simulated device under the initial state and operating parameters of different simulated devices can be simulated and solved, so as to verify the feasibility and advantages and disadvantages of the coordinated control strategy.
[0108] In other words, by assisting in the construction of a multivariate and multiple equation group for energy flow between different simulation devices based on topological relationships, the amount of simulation calculations is greatly reduced and the simulation speed is increased, thereby shortening the simulation time, improving the simulation efficiency, and achieving fast and efficient modeling and simulation of the integrated source-grid-load-storage system.
[0109] In the embodiment of the present application, after modeling and simulation are performed to obtain the simulated operating state of each simulated device under any coordinated control strategy, that is, after obtaining the simulation results, the system energy flow direction, wind abandonment rate, solar abandonment rate and various operating indicators can be obtained according to the simulation results. Fig.12 As shown, Fig.12 A schematic diagram of modeling and simulation under a coordinated control strategy provided in an embodiment of the present application.
[0110] Among them, various operating indicators may include system operating costs, carbon emissions, and energy efficiency indicators of equipment and systems.
[0111] The system operating cost is the sum of all purchased energy costs. Taking electricity cost and coal cost as examples, we get the following formula.
[0112]
[0113] Among them, Cost is the system operation cost, Elec(t) is the electricity consumption at time t, Elec_price(t) is the electricity price at time t, Coal(t) is the coal consumption at time t, and Coal_price(t) is the coal price at time t.
[0114] The calculation formula for carbon emissions is shown below.
[0115]
[0116] Among them, CO2 is carbon emission, Elec(t) is electricity consumption at time t, Elec_Coff is electricity carbon emission factor, Coal(t) is coal consumption at time t, Coal_Coff is carbon emission factor generated by coal combustion, generally 2.66-2.72.
[0117] The equipment energy efficiency index refers to the ratio between the equipment's energy output and energy input. The following is an introduction using some equipment as examples.
[0118] The efficiency of coal-fired power plants is expressed using the following formula.
[0119]
[0120] Among them, Plant_Effi is the efficiency of the coal-fired power plant, Elec is the power generation in a certain period of time, and Coal is the coal consumption in a certain period of time.
[0121] The efficiency of electric boiler is expressed by the following formula.
[0122]
[0123] Among them, Boiler_Effi is the efficiency of the electric boiler, Thermal is the heating value in a certain period of time, and Elec is the electricity consumption in a certain period of time.
[0124] System energy efficiency is the ratio of all energy output of the system divided by all energy input.
[0125]
[0126] In an embodiment of the present application, actual energy consumption data and coordinated control strategies can be obtained, so that simulation calculations can be performed based on the constructed source-grid-load-storage integrated system using the actual energy consumption data and coordinated control strategies, and the feasibility of the coordinated control strategies can be verified based on the simulation results.
[0127] Specifically, based on the system simulation results, after calculating various operating indicators, check whether the indicator results meet expectations. If the indicator results meet expectations, it proves that the system coordination control strategy is feasible; if the indicator results do not meet expectations, it is necessary to modify the system coordination control strategy until the indicator results meet expectations.
[0128] It can be seen that the source-grid-load-storage integrated modeling and simulation method provided in this embodiment can also realize the joint real-time simulation of multi-physical systems and meet the real-time requirements of coordinated control strategy verification.
[0129] Based on the source-grid-load-storage integrated modeling and simulation method provided in the above embodiments, the present application also provides a source-grid-load-storage integrated system simulation verification platform, referring to Fig.13 1 is a schematic diagram of a simulation verification platform for a source-grid-load-storage integrated system provided in an embodiment of the present application. The simulation verification platform for a source-grid-load-storage integrated system provided in an embodiment of the present application includes: a modeling tool module 1310 and a system simulation module 1320.
[0130] The modeling tool module 1310 is used to select multiple simulation devices and energy connectors that connect simulation devices of different energy types from the device model library of the source-grid-load-storage integrated system simulation verification platform according to the actual energy system; obtain the topological structure of each simulation device constructed based on the energy balance model, and use the topological structure and the energy connector to construct the topological relationship of the actual energy system.
[0131] The system simulation module 1320 is used to obtain the energy transfer equation between multiple simulated devices according to the topological relationship; construct a multivariate multi-order equation group of the actual energy system according to the energy conversion constraint equation of each simulated device, the energy balance model and the energy transfer equation; and simulate and solve the multivariate multi-order equation group to obtain the simulated operating status of each simulated device.
[0132] In some embodiments, the source-grid-load-storage integrated system simulation verification platform further includes a user login module 1330, referring to Fig.13 As shown, the user login module 1330 is used to record user login and simulate verification situations.
[0133] In some embodiments, the source-grid-load-storage integrated system simulation verification platform further includes an index calculation module 1340, referring to Fig.13As shown, the index calculation module 1340 is used to obtain the system energy flow direction, wind abandonment rate, solar abandonment rate and various operation indicators according to the simulation results.
[0134] In some embodiments, the source-grid-load-storage integrated system simulation verification platform further includes a result analysis module 1350, referring to Fig.13 As shown, the result analysis module 1350 is used to check whether the indicator results meet expectations. If the indicator results meet expectations, it proves that the system coordination control strategy is feasible; if the indicator results do not meet expectations, the system coordination control strategy needs to be modified until the indicator results meet expectations.
[0135] In some embodiments, the source-grid-load-storage integrated system simulation verification platform further includes a database management module 1360, referring to Fig.13 As shown, the database management module 1360 is used to save user information and user historical behavior records, simulation equipment and model parameters of the constructed source-grid-load-storage integrated system, and system simulation and verification results.
[0136] In some embodiments, the source-grid-load-storage integrated system simulation verification platform further includes an external interface module 1370, referring to Fig.13 As shown, the external interface module 1370 is used to exchange data with the energy management system, obtain actual energy consumption data from the energy management system, and feed back the coordinated control strategy to the actual energy management system. The external interface module 1370 is a standard data interface.
[0137] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.
[0138] The above is only a preferred implementation of the present application. Although the present application has been disclosed as a preferred embodiment, it is not intended to limit the present application. Any technician familiar with the art can use the above disclosed methods and technical contents to make many possible changes and modifications to the technical solution of the present application without departing from the scope of the technical solution of the present application, or modify it into an equivalent embodiment of equivalent changes. Therefore, any simple modification, equivalent change and modification made to the above embodiments based on the technical essence of the present application without departing from the content of the technical solution of the present application still falls within the scope of protection of the technical solution of the present application.
Claims
1. A source-grid-load-storage integrated modeling and simulation method, characterized in that: The method comprises: Select multiple simulation devices and energy connectors that connect simulation devices of different energy types from the device model library of the source-grid-load-storage integrated system simulation verification platform according to the actual energy system; Acquire the topological structure of each simulated device constructed based on the energy balance model, and construct the topological relationship of the actual energy system using the topological structure and the energy connector; Obtaining energy transmission equations between the plurality of simulation devices according to the topological relationship; Constructing a multivariate equation group of the actual energy system according to the energy conversion constraint equation of each simulated device, the energy balance model and the energy transmission equation; The multivariate multi-order equations are solved by simulation to obtain the simulation running status of each of the simulated devices.
2. The method according to claim 1, characterized in that The energy balance model includes an energy relationship equation between input energy input from an input port and output energy output from an output port; The obtaining of the topological structure of each simulated device constructed based on the energy balance model comprises: Constructing a topological structure of each simulated device based on the energy relationship equation; The multivariate equation group of the actual energy system obtained according to the energy conversion constraint equation of each simulated device, the energy balance model and the energy transmission equation includes: The multivariate equation group of the actual energy system is obtained according to the energy conversion constraint equation of each simulated device, the energy relationship equation and the energy transmission equation.
3. The method according to claim 2, characterized in that Analog device types include source devices; The topological structure of each simulated device is constructed based on the energy relationship equation, including: The topological structure of the source device constructed based on the energy relationship equation is a structure having only output ports.
4. The method according to claim 2, characterized in that: Types of simulated equipment include load equipment; The topological structure of each simulated device is constructed based on the energy relationship equation, including: The topological structure of the load device constructed based on the energy relationship equation is a structure with only input ports.
5. The method according to claim 2, characterized in that: The simulated device types include energy storage devices; The topological structure of each simulated device is constructed based on the energy relationship equation, including: The topological structure of the energy storage device constructed based on the energy relationship equation is a structure with only output ports, and the positive and negative energy of the output port of the energy storage device is used to indicate whether the energy storage device releases energy or stores energy.
6. The method according to claim 2, characterized in that The simulation device type includes a network device, and the energy relationship equation of the network device includes a conversion coefficient; The topological structure of each simulated device is constructed based on the energy relationship equation, including: The topological structure of the network device constructed based on the energy relationship equation is a structure with an input port and an output port, and the input energy of the input port is the product of the output energy of the output port and the conversion coefficient.
7. The method according to claim 1, characterized in that The simulation solves the multivariate multi-order equation group to obtain the simulation running state of each simulation device, including: The multivariate equation group is solved by simulating the initial state of each simulated device, the total output energy of the source device, and the total input energy of the load device in the coordinated control strategy to obtain the simulated operating state of each simulated device.
8. The method according to any one of claims 1 to 7, characterized in that: The different energy types include electrical energy flow, thermal energy flow and cooling energy flow, and the energy connector includes an energy concentrator and an energy separator; The topological relationship of the actual energy system constructed by using the topological structure and the energy connector includes: In combination with the topological structure, the energy concentrator and the energy separator are used to topologically connect the simulation devices corresponding to the electric energy flow, the thermal energy flow and the cooling flow, so as to construct a topological relationship of the actual energy system.
9. A simulation verification platform for source-grid-load-storage integrated system, characterized in that: The source-grid-load-storage integrated system simulation verification platform includes: a modeling tool module and a system simulation module; The modeling tool module is used to select multiple simulation devices and energy connectors that connect simulation devices of different energy types from the device model library of the source-grid-load-storage integrated system simulation verification platform according to the actual energy system; obtain the topological structure of each simulation device constructed based on the energy balance model, and use the topological structure and the energy connector to construct the topological relationship of the actual energy system; The system simulation module is used to obtain the energy transfer equation between multiple simulated devices according to the topological relationship; to construct a multivariate equation group of the actual energy system according to the energy conversion constraint equation of each simulated device, the energy balance model and the energy transfer equation; and to simulate and solve the multivariate equation group to obtain the simulated operating status of each simulated device.
10. A computer storage medium, characterized in that: The computer storage medium is used to store a computer program, and when the computer program is run on a computer device, the computer device executes the method according to any one of claims 1 to 8.