Energy cabin system performance empirical method and device based on dynamic simulation

Abstract

The invention relates to the technical field of comprehensive energy system performance evaluation, and particularly provides an energy cabin system performance demonstration method and device based on dynamic simulation, and the method comprises the steps: selecting corresponding modules from an energy cabin system simulation model library according to an actual energy flow network of a region for connection, and obtaining an energy cabin system corresponding to the region; coupling the actual regulation and control strategy of each device in the region to the energy cabin system corresponding to the region; the energy cabin system corresponding to the area is divided into a plurality of subsystems according to the energy types, the subsystems are connected through signal lines, simulation is carried out after the calculation step length in each subsystem is set, and an energy cabin system simulation system corresponding to the area is obtained; and performing performance demonstration on the energy cabin system simulation system corresponding to the region. According to the technical scheme provided by the invention, the problem of lack of empirical means of the energy cabin system can be solved, and a practical method and tool are provided for system performance evaluation and operation optimization.

Description

Technical Field

[0001] The present invention relates to the technical field of comprehensive energy system performance evaluation, and in particular to an energy cabin system performance verification method and device based on dynamic simulation. Background Art

[0002] In the context of the construction of a new energy system, with the rapid development of renewable energy and the widespread application of distributed energy technology, a large number of small-scale parks (such as industrial science and technology parks, agricultural ecological parks, commercial office areas, rural residential areas, etc.) have emerged. Due to their unique geographical, economic and energy characteristics, the energy supply needs of these small-scale parks are diversified, personalized, regionalized, and highly unbalanced, which poses a huge challenge to the traditional centralized energy supply model. Traditional centralized energy supply methods such as trigeneration of cooling, heating and power can no longer meet the diversified energy needs of distributed small parks, and there are problems such as low energy utilization efficiency and difficulty in multi-energy complementarity.

[0003] As a flexible energy supply system, the modular energy cabin system is an effective means to solve the energy supply problem of the above-mentioned small-scale parks. The modular energy cabin system can flexibly configure different energy equipment and modules according to the specific energy needs of the park, realize multi-energy complementarity and coordinated optimization, and effectively solve the problems of poor energy mutual assistance and low comprehensive energy utilization rate in small-scale parks. However, although the modular energy cabin system has many advantages in theory, its technology is still in its infancy and has not yet fully utilized the advantages of the system in improving energy utilization efficiency, reducing operating costs, and enhancing the reliability and safety of the energy supply system. There are still many problems that need to be solved: on the one hand, most of the energy supply equipment of the modular energy cabin system lacks centralized and unified operation and maintenance control, resulting in serious information islands between equipment and difficulty in achieving coordinated optimization; on the other hand, due to the complexity of the multi-energy system, it is difficult to conduct accurate verification and evaluation in advance whether the system can meet the design index requirements in terms of economy, environmental protection, safety and stability. To this end, it is urgent to establish a reliable, effective, scientific and comprehensive performance verification technology for modular energy cabin systems to provide practical methods and tools for performance evaluation and operation optimization of energy cabin systems.

[0004] Performance verification technology can be divided into two categories: testing and simulation.

[0005] (1) Although traditional test methods can accurately and realistically verify the performance of the system to a certain extent, they have disadvantages such as long test cycle, high cost, limited adjustable parameter range, and possible damage to actual equipment. In order to avoid the above disadvantages, a scaled-down version of the small energy cabin system can be built before the commercial system is put into operation to carry out the test, but it is difficult to fully reproduce the complexity and variability of the actual operation scenario, resulting in doubts about the accuracy and reliability of the verification results.

[0006] (2) Simulation methods can solve the limitations of experimental methods. However, existing simulations are mainly aimed at non-modular integrated energy systems. The simulation verification technology for modular energy cabin systems has not yet been established, and cannot well adapt to the characteristics of modular energy cabin systems that require flexible combination and matching of energy supply. Summary of the invention

[0007] In order to overcome the above-mentioned defects, the present invention proposes a method and device for verifying the performance of an energy cabin system based on dynamic simulation.

[0008] In a first aspect, a method for verifying the performance of an energy cabin system based on dynamic simulation is provided, and the method for verifying the performance of an energy cabin system based on dynamic simulation comprises:

[0009] According to the actual energy flow network of the region, corresponding modules are selected from the energy cabin system simulation model library for connection to obtain the energy cabin system corresponding to the region;

[0010] Coupling the actual control strategy of each device in the area to the energy cabin system corresponding to the area;

[0011] The energy cabin system corresponding to the region is divided into multiple subsystems according to the energy type, and the subsystems are connected by signal lines. After setting the solution step size within each subsystem, simulation is performed to obtain the energy cabin system simulation system corresponding to the region;

[0012] The performance of the energy cabin system simulation system corresponding to the said area is verified.

[0013] Preferably, the energy cabin system simulation model library includes: a microgrid module simulation model, a ground source heat pump module simulation model, a water storage module simulation model, a biomass module simulation model, a battery module simulation model, and a gas turbine power generation module simulation model.

[0014] Preferably, the multiple subsystems include: a thermal subsystem and an electrical subsystem.

[0015] Furthermore, the microgrid module simulation model includes: a distributed photovoltaic model, an energy storage model, a load model, and a wind power generation model, wherein the input of each model is the power of the equipment, and the output is the cumulative power and carbon emissions of the equipment;

[0016] The ground source heat pump module simulation model includes: a ground source heat pump host model and an air cooling host model, wherein the input of each model is the power required by the system, and the output is the heat release power and carbon emissions of the equipment;

[0017] The input of the water storage module simulation model is the heat load power and the inlet and outlet water temperatures, and the output is the cumulative power consumption and carbon emissions;

[0018] The biomass module simulation model includes: a combustion furnace system model, a heat exchanger system model, a dust removal system model, and a water supply system model, wherein the input of each model is the electrical load and heat load power required by the system, and the output is the power consumption, waste heat power and carbon emissions of the equipment;

[0019] The battery module simulation model includes: a battery inverter model and a battery control system model, wherein the input of each model is the on-grid and off-grid status of the device, the active power setting value, and the reactive power setting value, and the output is the active power, reactive power, and charge state of the device;

[0020] The input of the simulation model of the gas turbine power generation module is the temperature, pressure and flow rate in the intake process, and the output is the temperature, pressure and flow rate in the exhaust process, the gas turbine power generation and power generation efficiency.

[0021] Furthermore, the energy cabin system simulation model library includes: an economic cost calculation model and an environmental protection index calculation model.

[0022] Furthermore, the performance verification includes: economic and environmental protection verification, load bearing capacity verification, and N-1 operation stability verification.

[0023] Furthermore, when the performance verification is economical and environmentally friendly, the performance verification of the energy cabin system simulation system corresponding to the area includes:

[0024] Calculate the operating cost of each subsystem using the economic cost calculation model, and check whether the operating cost of each subsystem meets the design requirements;

[0025] The environmental performance index calculation model is used to calculate the carbon emissions of each subsystem, and to check whether the carbon emissions of each subsystem meet the design requirements.

[0026] Furthermore, when the performance verification is a load bearing capacity verification, the performance verification of the energy cabin system simulation system corresponding to the area includes:

[0027] Calculate the static stability margin and load carrying capacity of each subsystem, and check whether the static stability margin and load carrying capacity of each subsystem meet the design requirements.

[0028] Furthermore, when the performance verification is N-1 operation stability verification, the performance verification of the energy cabin system simulation system corresponding to the area includes:

[0029] A fault is introduced into the energy cabin system simulation system corresponding to the area in turn to carry out simulation, and the instability criterion is used to check whether the system is dynamically stable.

[0030] In a second aspect, a dynamic simulation-based energy cabin system performance verification device is provided, and the dynamic simulation-based energy cabin system performance verification device comprises:

[0031] A combination module is used to select corresponding modules in the energy cabin system simulation model library according to the actual energy flow network of the region and connect them to obtain the energy cabin system corresponding to the region;

[0032] A distribution module, used to couple the actual control strategy of each device in the area to the energy cabin system corresponding to the area;

[0033] The simulation module is used to divide the energy cabin system corresponding to the region into multiple subsystems according to the energy type, connect the subsystems using signal lines, set the solution step size within each subsystem, and then perform simulation to obtain the energy cabin system simulation system corresponding to the region;

[0034] The verification module is used to verify the performance of the energy cabin system simulation system corresponding to the area.

[0035] Preferably, the energy cabin system simulation model library includes: a microgrid module simulation model, a ground source heat pump module simulation model, a water storage module simulation model, a biomass module simulation model, a battery module simulation model, and a gas turbine power generation module simulation model.

[0036] Preferably, the multiple subsystems include: a thermal subsystem and an electrical subsystem.

[0037] Furthermore, the microgrid module simulation model includes: a distributed photovoltaic model, an energy storage model, a load model, and a wind power generation model, wherein the input of each model is the power of the equipment, and the output is the cumulative power and carbon emissions of the equipment;

[0038] The ground source heat pump module simulation model includes: a ground source heat pump host model and an air cooling host model, wherein the input of each model is the power required by the system, and the output is the heat release power and carbon emissions of the equipment;

[0039] The input of the water storage module simulation model is the heat load power and the inlet and outlet water temperatures, and the output is the cumulative power consumption and carbon emissions;

[0040] The biomass module simulation model includes: a combustion furnace system model, a heat exchanger system model, a dust removal system model, and a water supply system model, wherein the input of each model is the electrical load and heat load power required by the system, and the output is the power consumption, waste heat power and carbon emissions of the equipment;

[0041] The battery module simulation model includes: a battery inverter model and a battery control system model, wherein the input of each model is the on-grid and off-grid status of the device, the active power setting value, and the reactive power setting value, and the output is the active power, reactive power, and charge state of the device;

[0042] The input of the simulation model of the gas turbine power generation module is the temperature, pressure and flow rate in the intake process, and the output is the temperature, pressure and flow rate in the exhaust process, the gas turbine power generation and power generation efficiency.

[0043] Furthermore, the energy cabin system simulation model library includes: an economic cost calculation model and an environmental protection index calculation model.

[0044] Furthermore, the performance verification includes: economic and environmental protection verification, load bearing capacity verification, and N-1 operation stability verification.

[0045] Furthermore, when the performance verification is economic and environmental verification, the verification module is specifically used to:

[0046] Calculate the operating cost of each subsystem using the economic cost calculation model, and check whether the operating cost of each subsystem meets the design requirements;

[0047] The environmental performance index calculation model is used to calculate the carbon emissions of each subsystem, and to check whether the carbon emissions of each subsystem meet the design requirements.

[0048] Further, when the performance verification is a load bearing capacity verification, the verification module is specifically used to:

[0049] Calculate the static stability margin and load carrying capacity of each subsystem, and check whether the static stability margin and load carrying capacity of each subsystem meet the design requirements.

[0050] Further, when the performance verification is N-1 operation stability verification, the verification module is specifically used to:

[0051] A fault is introduced into the energy cabin system simulation system corresponding to the area in turn to carry out simulation, and the instability criterion is used to check whether the system is dynamically stable.

[0052] In a third aspect, a computer device is provided, comprising: one or more processors;

[0053] The processor is configured to execute one or more programs;

[0054] When the one or more programs are executed by the one or more processors, the energy cabin system performance verification method based on dynamic simulation is implemented.

[0055] In a fourth aspect, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed, the energy cabin system performance verification method based on dynamic simulation is implemented.

[0056] The above one or more technical solutions of the present invention have at least one or more of the following beneficial effects:

[0057] The present invention provides a method and device for verifying the performance of an energy cabin system based on dynamic simulation, including: selecting corresponding modules in the energy cabin system simulation model library according to the actual energy flow network of the region and connecting them to obtain the energy cabin system corresponding to the region; coupling the actual control strategy of each device in the region to the energy cabin system corresponding to the region; dividing the energy cabin system corresponding to the region into multiple subsystems according to the type of energy, and connecting each subsystem with a signal line, setting the solution step size inside each subsystem and then performing simulation to obtain the energy cabin system simulation system corresponding to the region; and performing performance verification on the energy cabin system simulation system corresponding to the region. The technical solution provided by the present invention can build and debug the system model more quickly, thereby improving the simulation efficiency. At the same time, due to the modular design, each model can be debugged and optimized independently, further improving the accuracy and reliability of the simulation; each model has an independent input and output interface, which can be easily replaced and upgraded, and through dynamic simulation, the defects of traditional experimental verification technology in terms of efficiency, economy and safety are solved. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] Figure 1 It is a flow chart of the main steps of the energy cabin system performance verification method based on dynamic simulation according to an embodiment of the present invention. DETAILED DESCRIPTION

[0059] The specific implementation modes of the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0060] In order to make the purpose, technical solution and advantages of the embodiments of the present invention clearer, the technical solution in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0061] As disclosed in the background technology, under the general background of the construction of a new energy system, with the rapid development of renewable energy and the widespread application of distributed energy technology, a large number of small-scale parks (such as industrial science and technology parks, agricultural ecological parks, commercial office areas, rural residential areas, etc.) have emerged. Due to their unique geographical, economic and energy characteristics, the energy supply needs of these small-scale parks are diversified, personalized, regionalized, and highly unbalanced, which poses a huge challenge to the traditional centralized energy supply model. Traditional centralized energy supply methods such as trigeneration of cooling, heating and power can no longer meet the diversified energy needs of distributed small parks, and there are problems such as low energy utilization efficiency and difficulty in multi-energy complementarity.

[0062] As a flexible energy supply system, the modular energy cabin system is an effective means to solve the energy supply problem of the above-mentioned small-scale parks. The modular energy cabin system can flexibly configure different energy equipment and modules according to the specific energy needs of the park, realize multi-energy complementarity and coordinated optimization, and effectively solve the problems of poor energy mutual assistance and low comprehensive energy utilization rate in small-scale parks. However, although the modular energy cabin system has many advantages in theory, its technology is still in its infancy and has not yet fully utilized the advantages of the system in improving energy utilization efficiency, reducing operating costs, and enhancing the reliability and safety of the energy supply system. There are still many problems that need to be solved: on the one hand, most of the energy supply equipment of the modular energy cabin system lacks centralized and unified operation and maintenance control, resulting in serious information islands between equipment and difficulty in achieving coordinated optimization; on the other hand, due to the complexity of the multi-energy system, it is difficult to conduct accurate verification and evaluation in advance whether the system can meet the design index requirements in terms of economy, environmental protection, safety and stability. To this end, it is urgent to establish a reliable, effective, scientific and comprehensive performance verification technology for modular energy cabin systems to provide practical methods and tools for performance evaluation and operation optimization of energy cabin systems.

[0063] Performance verification technology can be divided into two categories: testing and simulation.

[0064] (1) Although traditional test methods can accurately and realistically verify the performance of the system to a certain extent, they have disadvantages such as long test cycle, high cost, limited adjustable parameter range, and possible damage to actual equipment. In order to avoid the above disadvantages, a scaled-down version of the small energy cabin system can be built before the commercial system is put into operation to carry out the test, but it is difficult to fully reproduce the complexity and variability of the actual operation scenario, resulting in doubts about the accuracy and reliability of the verification results.

[0065] (2) Simulation methods can solve the limitations of experimental methods. However, existing simulations are mainly aimed at non-modular integrated energy systems. The simulation verification technology for modular energy cabin systems has not yet been established, and cannot well adapt to the characteristics of modular energy cabin systems that require flexible combination and matching of energy supply.

[0066] In order to improve the above problems, the present invention provides a method and device for verifying the performance of an energy cabin system based on dynamic simulation, including: selecting corresponding modules in the energy cabin system simulation model library according to the actual energy flow network of the region and connecting them to obtain the energy cabin system corresponding to the region; coupling the actual control strategy of each device in the region to the energy cabin system corresponding to the region; dividing the energy cabin system corresponding to the region into multiple subsystems according to the type of energy, and connecting each subsystem with a signal line, setting the solution step size inside each subsystem and then performing simulation to obtain the energy cabin system simulation system corresponding to the region; and performing performance verification on the energy cabin system simulation system corresponding to the region. The technical solution provided by the present invention can build and debug the system model more quickly, thereby improving the simulation efficiency. At the same time, due to the modular design, each model can be debugged and optimized independently, further improving the accuracy and reliability of the simulation; each model has an independent input and output interface, which can be easily replaced and upgraded, and through dynamic simulation, the defects of traditional experimental verification technology in efficiency, economy and safety are solved.

[0067] The above scheme is described in detail below.

[0068] Example 1

[0069] See attached Figure 1 , Figure 1 FIG. 1 is a flow chart of the main steps of a method for verifying the performance of an energy cabin system based on dynamic simulation according to an embodiment of the present invention. Figure 1 As shown, the energy cabin system performance verification method based on dynamic simulation in the embodiment of the present invention mainly includes the following steps:

[0070] Step S101: Select corresponding modules from the energy cabin system simulation model library according to the actual energy flow network of the region and connect them to obtain the energy cabin system corresponding to the region;

[0071] Step S102: coupling the actual control strategy of each device in the area to the energy cabin system corresponding to the area;

[0072] Step S103: Divide the energy cabin system corresponding to the region into multiple subsystems according to the energy type, connect the subsystems using signal lines, set the solution step size within each subsystem, and then perform simulation to obtain the energy cabin system simulation system corresponding to the region;

[0073] Step S104: Performing performance verification on the energy cabin system simulation system corresponding to the area.

[0074] The energy cabin system simulation model library includes: microgrid module simulation model, ground source heat pump module simulation model, water storage module simulation model, biomass module simulation model, battery module simulation model, and gas turbine power generation module simulation model. The multiple subsystems include: thermal subsystem and power subsystem.

[0075] In this embodiment, the microgrid module simulation model includes: a distributed photovoltaic model, an energy storage model, a load model, and a wind power generation model, wherein the input of each model is the power of the device, and the output is the cumulative power and carbon emissions of the device;

[0076] The ground source heat pump module simulation model includes: a ground source heat pump host model and an air cooling host model, wherein the input of each model is the power required by the system, and the output is the heat release power and carbon emissions of the equipment;

[0077] The input of the water storage module simulation model is the heat load power and the inlet and outlet water temperatures, and the output is the accumulated power consumption and carbon emissions.

[0078] The biomass module simulation model includes: a combustion furnace system model, a heat exchanger system model, a dust removal system model, and a water supply system model, wherein the input of each model is the electrical load and heat load power required by the system, and the output is the power consumption, waste heat power and carbon emissions of the equipment;

[0079] The battery module simulation model includes: a battery inverter model and a battery control system model, wherein the input of each model is the on-grid and off-grid status of the device, the active power setting value, and the reactive power setting value, and the output is the active power, reactive power, and charge state of the device.

[0080] In one embodiment, the battery inverter adopts a capacitor current inner loop and a voltage outer loop control, and uses a voltage feedback proportional adjustment outer loop to make the inverter grid-side voltage track a set reference value. The three-phase voltage deviation signal is passed through a proportional link to obtain a capacitor current reference value, which is then compared with the capacitor current measurement value to form a capacitor current inner loop. After passing through the current inner loop proportional link, a three-phase modulation signal is generated, and then the inverter trigger signal is obtained through a sinusoidal pulse width modulation method.

[0081] By selecting the appropriate inner loop current gain, the capacitor current can be guaranteed to track the reference current, while effectively reducing the disturbance caused by the load current. The voltage and current dual closed-loop control can stably achieve command voltage tracking.

[0082] The battery detects its own output power and compares it with the given power output. It uses droop control to obtain the command value of the output voltage frequency and amplitude, and then fine-tunes its output voltage amplitude and frequency in reverse phase to achieve a reasonable distribution of active and reactive power in the system. At the same time, a reactive proportional integral control link is added to enable reactive output when the droop micro-source is connected to the grid, so as to achieve control tracking the given value.

[0083] The input of the simulation model of the gas turbine power generation module is the temperature, pressure and flow rate in the intake process, and the output is the temperature, pressure and flow rate in the exhaust process, the gas turbine power generation and power generation efficiency.

[0084] In one embodiment, the energy cabin system simulation model library includes: an economic cost calculation model and an environmental protection index calculation model.

[0085] In one embodiment, the performance verification includes: economic and environmental protection verification, load bearing capacity verification, and N-1 operation stability verification.

[0086] In one embodiment, when the performance verification is economic and environmental protection verification, the performance verification of the energy cabin system simulation system corresponding to the area includes:

[0087] Calculate the operating cost of each subsystem using the economic cost calculation model, and check whether the operating cost of each subsystem meets the design requirements;

[0088] The environmental performance index calculation model is used to calculate the carbon emissions of each subsystem, and to check whether the carbon emissions of each subsystem meet the design requirements.

[0089] In one embodiment, when the performance verification is a load bearing capacity verification, the performance verification of the energy cabin system simulation system corresponding to the area includes:

[0090] Calculate the static stability margin and load carrying capacity of each subsystem, and check whether the static stability margin and load carrying capacity of each subsystem meet the design requirements.

[0091] In one embodiment, when the performance verification is N-1 operation stability verification, the performance verification of the energy cabin system simulation system corresponding to the area includes:

[0092] A fault is introduced into the energy cabin system simulation system corresponding to the area in turn to carry out simulation, and the instability criterion is used to check whether the system is dynamically stable.

[0093] The effects and advantages achieved by the present invention are mainly reflected in the following aspects:

[0094] (1) The energy cabin system submodule simulation method proposed in the present invention makes the modeling and simulation process of the entire energy cabin system convenient and clear by pre-building mature, plug-and-play simulation models of microgrids, ground source heat pumps, water storage, biomass and other modules. Compared with traditional non-modular modeling methods, the present invention can build and debug system models more quickly, thereby improving simulation efficiency. At the same time, due to the modular design, each model can be debugged and optimized independently, further improving the accuracy and reliability of the simulation; each model has an independent input and output interface, which can be easily replaced and upgraded.

[0095] (2) The topological construction and dynamic simulation method of the complete energy cabin system proposed in the present invention makes the energy flow topological construction of the complex integrated energy system more intuitive and accurate. By dividing the complete system model into several subsystem models (heat / cooling subsystem, power subsystem, etc.) according to the characteristics of energy types, the time characteristic differences of heterogeneous energy can be fully considered, so as to facilitate the targeted optimization of the solution step size in each subsystem, and realize the high-precision simulation of multi-energy systems under multi-energy coupling and multi-time and space scale characteristics.

[0096] (3) The present invention introduces economic cost and environmental index calculation models. These two models can be used to calculate the cost of purchasing electricity, heat and gas, as well as the carbon emissions of the entire system, respectively, and can provide key basis for the economic and environmental evaluation of the energy cabin system. By predicting the economic costs and environmental indicators of different design schemes, the optimal design scheme can be selected to achieve the sustainable development of the energy cabin system. Through simulation calculations of distributed photovoltaic, energy storage and other equipment, the cumulative energy consumption and carbon emissions of each device can be accurately predicted, providing strong support for the optimization of energy-saving and carbon-reduction operation strategies of the energy cabin system.

[0097] (4) The key performance verification method of the energy cabin system proposed in the present invention can comprehensively test the system performance from multiple angles such as economy, environmental protection, load bearing capacity, and operational stability, thus avoiding the limitations of traditional experimental verification methods in terms of cost, safety, and efficiency.

[0098] Example 2

[0099] Based on the same inventive concept, the present invention also provides an energy cabin system performance verification device based on dynamic simulation, and the energy cabin system performance verification device based on dynamic simulation includes:

[0100] A combination module is used to select corresponding modules in the energy cabin system simulation model library according to the actual energy flow network of the region and connect them to obtain the energy cabin system corresponding to the region;

[0101] A distribution module, used to couple the actual control strategy of each device in the area to the energy cabin system corresponding to the area;

[0102] The simulation module is used to divide the energy cabin system corresponding to the region into multiple subsystems according to the energy type, connect the subsystems using signal lines, set the solution step size within each subsystem, and then perform simulation to obtain the energy cabin system simulation system corresponding to the region;

[0103] The verification module is used to verify the performance of the energy cabin system simulation system corresponding to the area.

[0104] Preferably, the energy cabin system simulation model library includes: a microgrid module simulation model, a ground source heat pump module simulation model, a water storage module simulation model, a biomass module simulation model, a battery module simulation model, and a gas turbine power generation module simulation model.

[0105] Preferably, the multiple subsystems include: a thermal subsystem and an electrical subsystem.

[0106] Furthermore, the microgrid module simulation model includes: a distributed photovoltaic model, an energy storage model, a load model, and a wind power generation model, wherein the input of each model is the power of the equipment, and the output is the cumulative power and carbon emissions of the equipment;

[0107] The ground source heat pump module simulation model includes: a ground source heat pump host model and an air cooling host model, wherein the input of each model is the power required by the system, and the output is the heat release power and carbon emissions of the equipment;

[0108] The input of the water storage module simulation model is the heat load power and the inlet and outlet water temperatures, and the output is the accumulated power consumption and carbon emissions.

[0109] The biomass module simulation model includes: a combustion furnace system model, a heat exchanger system model, a dust removal system model, and a water supply system model, wherein the input of each model is the electrical load and heat load power required by the system, and the output is the power consumption, waste heat power and carbon emissions of the equipment;

[0110] The battery module simulation model includes: a battery inverter model and a battery control system model, wherein the input of each model is the on-grid and off-grid status of the device, the active power setting value, and the reactive power setting value, and the output is the active power, reactive power, and charge state of the device.

[0111] The input of the simulation model of the gas turbine power generation module is the temperature, pressure and flow rate in the intake process, and the output is the temperature, pressure and flow rate in the exhaust process, the gas turbine power generation and power generation efficiency.

[0112] Furthermore, the energy cabin system simulation model library includes: an economic cost calculation model and an environmental protection index calculation model.

[0113] Furthermore, the performance verification includes: economic and environmental protection verification, load bearing capacity verification, and N-1 operation stability verification.

[0114] Furthermore, when the performance verification is economical and environmentally friendly, the performance verification of the energy cabin system simulation system corresponding to the area includes:

[0115] Calculate the operating cost of each subsystem using the economic cost calculation model, and check whether the operating cost of each subsystem meets the design requirements;

[0116] The environmental performance index calculation model is used to calculate the carbon emissions of each subsystem, and to check whether the carbon emissions of each subsystem meet the design requirements.

[0117] Furthermore, when the performance verification is a load bearing capacity verification, the performance verification of the energy cabin system simulation system corresponding to the area includes:

[0118] Calculate the static stability margin and load carrying capacity of each subsystem, and check whether the static stability margin and load carrying capacity of each subsystem meet the design requirements.

[0119] Furthermore, when the performance verification is N-1 operation stability verification, the performance verification of the energy cabin system simulation system corresponding to the area includes:

[0120] A fault is introduced into the energy cabin system simulation system corresponding to the area in turn to carry out simulation, and the instability criterion is used to check whether the system is dynamically stable.

[0121] Example 3

[0122] Based on the same inventive concept, the present invention also provides a computer device, which includes a processor and a memory, wherein the memory is used to store a computer program, the computer program includes program instructions, and the processor is used to execute the program instructions stored in the computer storage medium. The processor may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. It is the computing core and control core of the terminal, which is suitable for implementing one or more instructions, and is specifically suitable for loading and executing one or more instructions in the computer storage medium to implement the corresponding method flow or corresponding function, so as to implement the steps of a method for verifying the performance of an energy cabin system based on dynamic simulation in the above embodiment.

[0123] Example 4

[0124] Based on the same inventive concept, the present invention also provides a storage medium, specifically a computer-readable storage medium (Memory), which is a memory device in a computer device for storing programs and data. It can be understood that the computer-readable storage medium here can include both built-in storage media in a computer device and, of course, extended storage media supported by the computer device. The computer-readable storage medium provides a storage space, which stores the operating system of the terminal. In addition, one or more instructions suitable for being loaded and executed by a processor are also stored in the storage space, and these instructions can be one or more computer programs (including program codes). It should be noted that the computer-readable storage medium here can be a high-speed RAM memory or a non-volatile memory, such as at least one disk memory. The processor can load and execute one or more instructions stored in the computer-readable storage medium to implement the steps of a method for verifying the performance of an energy cabin system based on dynamic simulation in the above embodiment.

[0125] Those skilled in the art will appreciate that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0126] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0127] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0128] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable device. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0129] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A method for verifying the performance of an energy cabin system based on dynamic simulation, characterized in that: The method comprises: According to the actual energy flow network of the region, corresponding modules are selected from the energy cabin system simulation model library for connection to obtain the energy cabin system corresponding to the region; Coupling the actual control strategy of each device in the area to the energy cabin system corresponding to the area; The energy cabin system corresponding to the region is divided into multiple subsystems according to the energy type, and the subsystems are connected by signal lines. After setting the solution step size within each subsystem, simulation is performed to obtain the energy cabin system simulation system corresponding to the region; The performance of the energy cabin system simulation system corresponding to the said area is verified.

2. The method according to claim 1, characterized in that The energy cabin system simulation model library includes: a microgrid module simulation model, a ground source heat pump module simulation model, a water storage module simulation model, a biomass module simulation model, a battery module simulation model, and a gas turbine power generation module simulation model.

3. The method according to claim 1, characterized in that The multiple subsystems include: a thermal subsystem and an electrical subsystem.

4. The method according to claim 2, characterized in that The microgrid module simulation model includes: a distributed photovoltaic model, an energy storage model, a load model, and a wind power generation model, wherein the input of each model is the power of the equipment, and the output is the cumulative power and carbon emissions of the equipment; The ground source heat pump module simulation model includes: a ground source heat pump host model and an air cooling host model, wherein the input of each model is the power required by the system, and the output is the heat release power and carbon emissions of the equipment; The input of the water storage module simulation model is the heat load power and the inlet and outlet water temperatures, and the output is the cumulative power consumption and carbon emissions; The biomass module simulation model includes: a combustion furnace system model, a heat exchanger system model, a dust removal system model, and a water supply system model, wherein the input of each model is the electrical load and heat load power required by the system, and the output is the power consumption, waste heat power and carbon emissions of the equipment; The battery module simulation model includes: a battery inverter model and a battery control system model, wherein the input of each model is the on-grid and off-grid status of the device, the active power setting value, and the reactive power setting value, and the output is the active power, reactive power, and charge state of the device; The input of the simulation model of the gas turbine power generation module is the temperature, pressure and flow rate in the intake process, and the output is the temperature, pressure and flow rate in the exhaust process, the gas turbine power generation and power generation efficiency.

5. The method according to claim 4, characterized in that The energy cabin system simulation model library includes: an economic cost calculation model and an environmental protection index calculation model.

6. The method according to claim 5, characterized in that The performance verification includes: economic and environmental protection verification, load bearing capacity verification, and N-1 operation stability verification.

7. The method according to claim 6, characterized in that When the performance verification is economical and environmentally friendly, the performance verification of the energy cabin system simulation system corresponding to the area includes: Calculate the operating cost of each subsystem using the economic cost calculation model, and check whether the operating cost of each subsystem meets the design requirements; The environmental performance index calculation model is used to calculate the carbon emissions of each subsystem, and to check whether the carbon emissions of each subsystem meet the design requirements.

8. The method according to claim 3, characterized in that When the performance verification is a load bearing capacity verification, the performance verification of the energy cabin system simulation system corresponding to the area includes: Calculate the static stability margin and load carrying capacity of each subsystem, and check whether the static stability margin and load carrying capacity of each subsystem meet the design requirements.

9. The method according to claim 3, characterized in that When the performance verification is N-1 operation stability verification, the performance verification of the energy cabin system simulation system corresponding to the area includes: A fault is introduced into the energy cabin system simulation system corresponding to the area in turn to carry out simulation, and the instability criterion is used to check whether the system is dynamically stable.

10. An energy cabin system performance verification device based on dynamic simulation, characterized in that: The device comprises: A combination module is used to select corresponding modules from the energy cabin system simulation model library according to the actual energy flow network of the region and connect them to obtain the energy cabin system corresponding to the region; A distribution module, used to couple the actual control strategy of each device in the area to the energy cabin system corresponding to the area; The simulation module is used to divide the energy cabin system corresponding to the region into multiple subsystems according to the energy type, connect the subsystems using signal lines, set the solution step size within each subsystem, and then perform simulation to obtain the energy cabin system simulation system corresponding to the region; The verification module is used to verify the performance of the energy cabin system simulation system corresponding to the area.

11. The device according to claim 10, characterized in that The energy cabin system simulation model library includes: a microgrid module simulation model, a ground source heat pump module simulation model, a water storage module simulation model, a biomass module simulation model, a battery module simulation model, and a gas turbine power generation module simulation model.

12. The device according to claim 10, characterized in that The multiple subsystems include: a thermal subsystem and an electrical subsystem.

13. The device according to claim 11, characterized in that The microgrid module simulation model includes: a distributed photovoltaic model, an energy storage model, a load model, and a wind power generation model, wherein the input of each model is the power of the equipment, and the output is the cumulative power and carbon emissions of the equipment; The ground source heat pump module simulation model includes: a ground source heat pump host model and an air cooling host model, wherein the input of each model is the power required by the system, and the output is the heat release power and carbon emissions of the equipment; The input of the water storage module simulation model is the heat load power and the inlet and outlet water temperatures, and the output is the cumulative power consumption and carbon emissions; The biomass module simulation model includes: a combustion furnace system model, a heat exchanger system model, a dust removal system model, and a water supply system model, wherein the input of each model is the electrical load and heat load power required by the system, and the output is the power consumption, waste heat power and carbon emissions of the equipment; The battery module simulation model includes: a battery inverter model and a battery control system model, wherein the input of each model is the on-grid and off-grid status of the device, the active power setting value, and the reactive power setting value, and the output is the active power, reactive power, and charge state of the device; The input of the simulation model of the gas turbine power generation module is the temperature, pressure and flow rate in the intake process, and the output is the temperature, pressure and flow rate in the exhaust process, the gas turbine power generation and power generation efficiency.

14. The device according to claim 13, characterized in that The energy cabin system simulation model library includes: an economic cost calculation model and an environmental protection index calculation model.

15. The device according to claim 14, characterized in that The performance verification includes: economic and environmental protection verification, load bearing capacity verification, and N-1 operation stability verification.

16. The device according to claim 15, characterized in that When the performance verification is economic and environmental protection verification, the verification module is specifically used for: Calculate the operating cost of each subsystem using the economic cost calculation model, and check whether the operating cost of each subsystem meets the design requirements; The environmental performance index calculation model is used to calculate the carbon emissions of each subsystem, and to check whether the carbon emissions of each subsystem meet the design requirements.

17. The device according to claim 12, characterized in that When the performance verification is a load bearing capacity verification, the verification module is specifically used to: Calculate the static stability margin and load carrying capacity of each subsystem, and check whether the static stability margin and load carrying capacity of each subsystem meet the design requirements.

18. The device according to claim 12, characterized in that When the performance verification is N-1 operation stability verification, the verification module is specifically used for: A fault is introduced into the energy cabin system simulation system corresponding to the area in turn to carry out simulation, and the instability criterion is used to check whether the system is dynamically stable.

19. A computer device, characterized in that: include: one or more processors; The processor is used to store one or more programs; When the one or more programs are executed by the one or more processors, the energy cabin system performance verification method based on dynamic simulation as described in any one of claims 1 to 9 is implemented.

20. A computer-readable storage medium, characterized in that: A computer program is stored thereon, and when the computer program is executed, it implements the energy cabin system performance verification method based on dynamic simulation as described in any one of claims 1 to 9.

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