A multi-energy inertia support method considering dynamic parameters of a natural gas network

Abstract

This invention discloses a multi-energy inertial support method in the field of integrated energy technology, taking into account the dynamic parameters of a natural gas network. The method includes the following steps: establishing a gas inertia model of the natural gas system; establishing a power support model considering multi-energy inertia; establishing an initial multi-energy inertial power support model, optimizing it to minimize the total cost of inertial support, and then establishing a final optimized multi-energy inertial power support model. This invention fully explores the supporting role of thermal inertia in thermal systems and gas inertia in natural gas systems for power deficits. Furthermore, in a natural gas network, it considers the impact of local gas inertia on pipeline pressure, flow rate, and gas storage. It innovatively proposes a multi-energy inertial support method considering the dynamic parameters of the natural gas network. By comprehensively considering the total cost of the multi-energy inertial support method, it ensures the safe and economical operation of the system and guarantees the accuracy of the system output plan.

Description

Technical Field

[0001] This invention belongs to the field of integrated energy technology, specifically relating to a multi-energy inertial support method that takes into account the dynamic parameters of a natural gas network. Background Technology

[0002] With the widespread adoption of renewable energy in power systems, the uncertainty of energy output power has significantly reduced the reliability of power grid operation. To ensure a continuous and reliable power supply, and considering the flexible conversion between various energy sources, the use of integrated energy systems that couple electricity, gas, and heat to guarantee a reliable power supply has become a current development trend. The thermal and natural gas systems within integrated energy systems exhibit slow dynamic characteristics; their thermal and natural gas energy does not require immediate generation and transmission like electricity, but can be temporarily stored or recalled. Therefore, utilizing the gas-thermal inertia of integrated energy systems to support the power deficit of the system is of great significance. Furthermore, since the localized utilization of gas inertia affects the overall parameters of the natural gas network, modeling the dynamic characteristics of the natural gas network and analyzing its dynamic parameters are crucial for further refining the output scheme of the multi-energy inertial support method and optimizing the total cost of inertial support. Summary of the Invention

[0003] In view of the shortcomings of the prior art, the purpose of this invention is to provide a multi-energy inertial support method that takes into account the dynamic parameters of the natural gas network, so as to solve the problems mentioned in the background art.

[0004] The objective of this invention can be achieved through the following technical solutions:

[0005] A multi-energy inertial support method considering dynamic parameters of a natural gas network includes the following steps:

[0006] Based on dynamic characteristics, establish models of natural gas network node pressure, gas flow rate, and gas pipeline storage; and based on inertial characteristics, establish a gas inertial model of the natural gas system.

[0007] First, a thermal inertia model of the thermal network is established. Then, based on the thermal inertia model of the thermal network and the gas inertia model of the natural gas system, a power support model that takes into account multi-energy inertia is established.

[0008] Based on the global dynamic parameters of the natural gas network, and taking into account the gas inertia output, thermal inertia output, and demand-side output, and considering the power support model of multi-energy inertia, an initial multi-energy inertia power support model is established. Finally, under the premise of ensuring the system reliability level, with the goal of minimizing the total cost of inertia support, the final optimized multi-energy inertia power support model is established.

[0009] Preferably, the tracheal storage model in step 1 is as follows:

[0010]

[0011] When the flow rate at the beginning and end of a natural gas pipeline changes, the gas inventory in the pipeline also changes accordingly. The gas inventory at time t is determined by the flow rate at the beginning and end of the pipeline at time t and the gas inventory at time t-1.

[0012]

[0013] The nodal flow rate is determined by the gas pressure. The nodal pressure and gas flow rate model is as follows:

[0014]

[0015] Preferably, the gas inertia model of the natural gas system in step 1 is as follows:

[0016]

[0017] Preferably, the thermal inertia model of the thermal network in step 2 consists of a time delay model of heat fluctuations in the transmission pipeline, a heat loss model of heat fluctuations in the transmission pipeline, and a heat loss model of the thermal building, as follows:

[0018]

[0019] Preferably, the power support model taking into account multi-energy inertia in step 2 is as follows:

[0020]

[0021] Preferably, the initial multi-energy inertial power support model in step 3 is as follows:

[0022]

[0023] Preferably, the optimized multi-energy inertial power support model in step 3 is as follows:

[0024] minCost = C RG +C RH +C COM .

[0025] Preferably, the cost model for air inertia output in step 3 is as follows:

[0026]

[0027] The thermal inertia output cost model is as follows:

[0028]

[0029] The demand-side output cost model is as follows:

[0030]

[0031] The beneficial effects of this invention are:

[0032] 1. This invention fully explores the supporting role of thermal inertia in thermal systems and gas inertia in natural gas systems for power deficits. At the same time, in natural gas networks, it considers the impact of the use of local gas inertia on pipeline pressure, flow rate and gas storage in natural gas networks, and innovatively proposes a multi-energy inertia support method that takes into account the dynamic parameters of natural gas networks. Under the premise of comprehensively considering the total cost of multi-energy inertia support methods, it ensures the safe and economical operation of the system and guarantees the accuracy of the system output scheme. Attached Figure Description

[0033] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0034] Figure 1 This is a flowchart of the method of the present invention;

[0035] Figure 2 This is a schematic diagram of the dynamic parameters of the natural gas network in this invention;

[0036] Figure 3 This is a schematic diagram of the gas inertia principle of the natural gas system in this invention;

[0037] Figure 4 This is a schematic diagram of the load group location in this invention;

[0038] Figure 5 This is a schematic diagram illustrating the dynamic changes of the natural gas network before and after a fault in this invention. Detailed Implementation

[0039] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0040] Please see Figure 1 As shown, this invention proposes a multi-energy inertial support method that takes into account the dynamic parameters of a natural gas network, comprising the following steps:

[0041] Step 1: Model the dynamic and inertial characteristics of the natural gas network;

[0042] Step 1 specifically includes the following steps:

[0043] Step 1.1: Establish a model for natural gas network node pressure, gas flow rate, and gas pipeline storage considering dynamic characteristics.

[0044] Dynamic parameters of natural gas network, such as Figure 2 As shown. Due to the dynamic characteristics of natural gas, the flow rates at the beginning and end of a gas pipeline are usually inconsistent, with the flow rate at the beginning being higher than that at the end. A certain amount of natural gas remains in the pipeline; this portion of the natural gas is called pipeline storage. The pipeline storage model is established as follows:

[0045]

[0046] In the formula, ρ0 is the density of natural gas under standard conditions. Let mn be the length and diameter of the natural gas pipeline. Let T be the amount of gas stored in the pipe at time t. G R represents the temperature of the natural gas. M Z is the ratio of the gas constant to the molar mass, and Z is the compressibility coefficient of natural gas. This represents the average pressure inside the natural gas pipeline. Let M be the node pressure at point m / n in the natural gas network. Represented as

[0047] When the flow rate at the beginning and end of a natural gas pipeline changes, the gas inventory within the pipeline also changes accordingly. The gas inventory at time t is determined by the flow rate at the beginning and end of the pipeline at time t and the gas inventory at time t-1.

[0048]

[0049] In the formula, The gas level in the pipeline at time t-1 is... Let m be the flow rate at the beginning / end of pipe mn at time t.

[0050] Considering that there are no compressors in the natural gas network, under steady-state conditions, the gas flow rate at both ends of the pipeline remains constant, and the node flow rate is determined by the gas pressure. Therefore, the node pressure and gas flow rate model is as follows:

[0051]

[0052] In the formula, This represents the pressure of natural gas under standard conditions. This refers to the temperature of natural gas under standard conditions. The compressibility coefficient of natural gas under standard conditions. Let m be the natural gas flow rate in pipeline mn, and λ be the pipeline friction coefficient.

[0053] Considering the dynamic characteristics of the natural gas network, the flow rates at the beginning and end of the pipeline are no longer consistent. The above-mentioned node pressure and gas flow rate model is improved as follows:

[0054]

[0055] In the formula, The average flow rate within the pipe is expressed as...

[0056] Step 1.2: Establish a gas inertial model for the natural gas system considering inertial characteristics:

[0057] Natural gas system gas inertia principle diagram as follows Figure 3 As shown. Gas inertia refers to the ability of a natural gas system to resist the impact of external power fluctuations on its network. Fluctuations in load demand at the end of a natural gas pipeline will cause a series of responses in the gas flow rate and pressure at the end of the pipeline; increases / decreases in load demand lead to increases / decreases in gas flow rate, causing decreases / increases in pressure at the end of the pipeline. Fluctuations in load-side demand cause sudden changes in the flow rate at the end of the pipeline, prompting the pipeline to release gas reserves to meet emergency load demands, thereby alleviating the gas supply pressure at the gas source and reducing the impact of load fluctuations on the natural gas system. The ability of gas inertia to resist the impact of load fluctuations is mainly reflected in the lag and smoothing effect of the pressure at the end of the pipeline relative to the gas flow rate. Therefore, the gas inertia model of a natural gas system considering inertial characteristics is expressed as follows:

[0058]

[0059] In the formula, P out (t) represents the pressure at the end of the pipe at time t, A is the cross-sectional area of ​​the pipe, L is the length of the pipe, and P is the pressure at the end of the pipe at time t. in Let q1 be the pressure at the beginning of the pipe, q2 be the flow rate before the load change, and q1 / q2 be the flow rate after the load change. q1 / q2 are the two positive roots of the formula, and D is the inner diameter of the pipe.

[0060] Step 2: Considering the inertial characteristics of the thermal network, based on the gas inertial model of the natural gas system considering inertial characteristics established in Step 1.2, establish a power deficit response model taking into account multi-energy inertia:

[0061] Step 2 specifically includes the following steps:

[0062] Step 2.1: Establish a thermal network thermal inertia model:

[0063] Thermal inertia refers to the ability of a heating network to resist the impact of external power fluctuations on the network itself. When power fluctuations occur at the heat source, the delay and loss of the heat fluctuations in the transmission pipes, as well as the heat loss in the heating building, constitute the heating network's ability to resist the impact of heat source fluctuations on the load-side temperature. Among them, the delay of heat fluctuations in the transmission pipes reduces the time during which heat source fluctuations affect the load side, expressed as:

[0064] τ p =l p / v p

[0065] In the formula, τ p For the delay of heat fluctuations in the transmission pipeline, l p v is the length of the transmission pipe. p This represents the hot water flow rate.

[0066] The heat loss due to heat fluctuations in the transmission pipeline reduces the magnitude of the impact of heat source fluctuations on the load side, as expressed as:

[0067] H loss,p =μ p l p

[0068] In the formula, μ p H represents the heat loss rate of the transmission pipeline. loss,p This refers to the heat loss in the transmission pipeline.

[0069] The heat loss of heated buildings is also reduced accordingly, which reduces the impact of heat source fluctuations on the load side, as expressed as:

[0070] H loss,b =ε loss (T b,t -T out,t )

[0071] In the formula, H loss,b For the heat loss of thermal buildings, ε loss T is the heat dissipation coefficient of a thermal building. b,t T represents the indoor temperature of a heated building. out,t The outdoor temperature of a thermal building.

[0072] Therefore, in summary, the thermal inertia model of a thermal network consists of a time delay model of heat fluctuations in the transmission pipes, a heat loss model of heat fluctuations in the transmission pipes, and a heat loss model of the thermal building, as specifically expressed below:

[0073]

[0074] Step 2.2: Based on the thermal network thermal inertia model established in Step 2.1 and the gas inertia model of the natural gas system considering inertia characteristics established in Step 1.2, establish a power support model that takes into account multi-energy inertia:

[0075] In natural gas systems, gas inertia responds exponentially to sudden flow changes, delaying and mitigating the impact of load surges. In thermal systems, thermal inertia responds to sudden power fluctuations from heat sources through transmission delays and heat losses, reducing the duration and impact of power fluctuations on the load side. To uniformly utilize both gas and thermal inertia in inertial support methods for addressing power deficits, and to model the mitigation effect of gas and thermal inertia on energy fluctuations exponentially, a power support model considering multi-energy inertia is established as follows:

[0076]

[0077] In the formula, M1, N1, u1, and v1 are the constant coefficients of the thermal inertia power support model, and I h (t h ( ) represents thermal inertia during a support duration of t h The supporting power that can be provided at that time, M2, N2, u2, v2 are constant coefficients of the aero-inertial power support model, I g (t g ( ) represents air inertia during the support period of t. g The supporting power that can be provided at that time.

[0078] Step 3: Considering the global dynamic parameters of the natural gas network, and integrating gas inertia output, thermal inertia output, and demand-side output, based on the power support model considering multi-energy inertia established in Step 2.2, establish a multi-energy inertia power support model with the optimization objective of minimizing the total cost of inertia support:

[0079] Step 3 specifically includes the following steps:

[0080] Step 3.1: Considering the dynamic parameters of the natural gas network, based on the power support model taking into account the multi-energy inertia established in Step 2.2, establish a multi-energy inertial power support model taking into account the dynamic parameters of the natural gas network:

[0081] In a comprehensive energy system comprising transformers, electric boilers, and CHP units, the main loads include heat loads and electrical loads. These three load groups are connected to different locations within the network, as shown below. Figure 4As shown. When a power grid fault causes a power deficit, from the perspective of response form, the multi-energy inertial response mainly consists of gas inertia and thermal inertia; from the perspective of response mode, there are two main modes of multi-energy inertia. In the first mode, in order to increase the electrical power on the load side, the heating power originally supplied to the electric boiler side is diverted to the transformer side for power supply. In the second mode, in order to generate a large amount of additional electrical power in a short period of time, the gas valve of the CHP unit is enlarged, releasing a large amount of gas stored in the pipeline, while simultaneously utilizing the rapid response capability of the CHP unit to generate electricity. Therefore, the drastic fluctuations in the flow rate at the pipeline end are mitigated by the gas inertia of the natural gas system. Mode one reduces the heat on the heat load side, while mode two, in which the CHP unit increases its output, increases the heat on the heat load side. This heat fluctuation is mitigated by the thermal inertia of the thermal network. Therefore, the multi-energy inertial power support model considering the dynamic parameters of the natural gas network is as follows:

[0082]

[0083] In the formula, L n For the nth load group (1≤n≤3), Load group L at time t n The inertial force of the air at the location, e ele (t) represents the power deficit at time t. Load group L at time t K The inertial force of the air at the location, Let L be the load group other than the faulty load group at time t. K Thermal power offset at that location η is the thermal power offset at the faulty load group. EB η is the electrothermal conversion efficiency coefficient of the electric boiler. T This is the efficiency coefficient of the transformer. The gas-to-electricity conversion efficiency of the CHP unit. This refers to the gas-to-heat conversion efficiency of the CHP unit. The power deficit is supported by the gas inertia output of the CHP unit at the faulty load and the thermal inertia output of the three load groups. The thermal offset of the load at the faulty load is generated by the gas and thermal inertia output of the local CHP unit, while the thermal offset of the other load groups at the non-faulty loads is generated only by the local thermal inertia output.

[0084] Step 3.2: Under the premise of ensuring system reliability, and with the goal of minimizing the total cost of inertial support, based on the multi-energy inertial power support model established in Step 3.1 that takes into account the dynamic parameters of the natural gas network, establish a multi-energy inertial power support model with the goal of minimizing the total cost of inertial support.

[0085] In a comprehensive energy system including transformers, electric boilers, and CHP units, considering the combined gas inertial output, thermal inertial output, and demand-side output, and aiming to minimize power support costs while ensuring system operational reliability, a multi-energy inertial power support model is established as follows:

[0086] min Cost = C RG +C RH +C COM

[0087] In the formula, Cost / C RG / C RH / C COM These are respectively: total cost of inertial power support / cost of aero-inertial output / cost of thermal inertial output / cost of demand-side output. The model for aero-inertial output cost is as follows:

[0088]

[0089] The thermal inertia output cost model is as follows:

[0090]

[0091] The demand-side output cost model is as follows:

[0092]

[0093] In the formula, T is the duration of the fault, and t0 is the initial time of the fault occurrence. The fault occurred in load group L n The unit cost of gas storage in pipeline a(a+1) / pipeline (b+1)(b+2) at that time (a=1,2,3; b=4,5). The fault occurred in load group L n The unit cost of gas storage in pipeline 36 at that time. The fault occurred in load group L c The unit cost of thermal inertia output at time (c,n=1,2,3), The fault occurred in load group L n Load group L at time c The unit cost of demand-side output at level m (c, n = 1, 2, 3), Load group L at time t c Thermal inertia output power (c=1,2,3), Load group L at time t c The thermal offset at level m (c = 1, 2, 3), where M is the total number of tiers in the demand-side tiered pricing and C is the total number of load groups in the microgrid (C = 3).

[0094] Taking into account the dynamic parameters of the natural gas network, and aiming to minimize the total cost of inertial support, if the fault occurs at load group L1, the changes in gas pipeline inventory, pipeline flow rate, and node pressure before and after the fault within the natural gas network are as follows: Figure 5 As shown in Table 1, when the power deficit is 500 kWh / s, the output and cost of the multi-energy inertial support model are as follows.

[0095] Table 1. Output and Cost Details

[0096]

[0097] Unlike considering a natural gas network as a whole and focusing only on the overall network's inputs and outputs, when considering the internal dynamic parameters of the natural gas network, the state of each pipeline will change in a more complex way. Therefore, considering the dynamic parameters of the natural gas network in detail in the multi-energy inertial support optimization model can lead to a more comprehensive formulation of the multi-energy inertial power output scheme and a more accurate power output cost.

[0098] Depend on Figure 5 (a) It can be seen that an increase in the load demand of a load group will affect the gas storage consumption of the entire natural gas network, especially the gas storage consumption of the pipeline closest to the fault point. From Figure 5 (b) It can be seen that under steady-state conditions, the gas flow rate at the beginning and end of the pipeline remains constant, but a shift occurs after the fault occurs. In order to support the power deficit generated by a certain load group, the gas inertial output increases, resulting in a sudden increase in gas flow rate, especially the flow rate fluctuation at the end of the pipeline connected to the faulty load group is the most severe. Figure 5 In (c), the change in node pressure is caused by the change in gas flow rate. Because the natural gas flowing out of the pipeline is too fast to be replenished in a short time, the increase in gas flow rate leads to a delayed decrease in node pressure. In Table 1, both thermal inertia and demand-side power outputs have three forms, representing the outputs of the three load groups. From the above results, it can be seen that the multi-energy inertial support method, which takes into account the dynamic parameters of the natural gas network, can more accurately reflect the actual changes within the network. This improves upon the existing power support method that only considers the natural gas network as a whole, providing a more realistic multi-energy inertial output scheme and optimizing the total cost of inertial support. Under the premise of ensuring the safe and stable operation of the system, it improves the economic efficiency of system operation.

[0099] In the description of this specification, references to terms such as "an embodiment," "example," "specific example," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of the invention. In this specification, illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples.

[0100] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied 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.

[0101] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0102] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0103] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0104] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the specific implementation of the present invention. Any modifications or equivalent substitutions that do 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 of multi-energy inertial support taking into account dynamic parameters of a natural gas network, characterized in that, Includes the following steps: Step 1: Establish a model of natural gas network node pressure, gas flow rate, and gas pipeline storage based on dynamic characteristics, and establish a natural gas system inertial model based on inertial characteristics; The tracheal storage model is as follows: In the formula, The density of natural gas under standard conditions. For natural gas pipelines Length and diameter, for There is always air in the pipeline. For natural gas temperature, This is the ratio of the gas constant to the molar mass. The compressibility coefficient of natural gas. This represents the average pressure inside the natural gas pipeline. For natural gas network nodes The pressure at the node, then Represented as ; When the flow rate at the beginning and end of a natural gas pipeline changes, the gas level in the pipeline also changes accordingly. The trachea at that moment is Flow rate at the beginning and end of the pipeline at any given time The timing of tracheal storage determines: In the formula, for There is always air in the pipeline. for Time Pipeline Head End-point flow; The nodal flow rate is determined by the gas pressure. The nodal pressure and gas flow rate model is as follows: In the formula, This refers to the pressure of natural gas under standard conditions. The temperature of natural gas under standard conditions. The compressibility coefficient of natural gas under standard conditions. The coefficient of friction of the pipeline. The average flow rate within the pipe is expressed as... ; The gas inertial model of the natural gas system is as follows: In the formula, for The pressure at the end of the pipeline at any given time. The cross-sectional area of ​​the pipe. For the length of the pipe, This refers to the pressure at the beginning of the pipeline. The flow rate before the load change. The flow rate after load change These are the two positive roots of the formula. This refers to the inner diameter of the pipe. Step 2: First, establish a thermal inertia model of the thermal network. Then, based on the thermal inertia model of the thermal network and the gas inertia model of the natural gas system established in Step 1, establish a power support model that takes into account multi-energy inertia. Step 3: Based on the global dynamic parameters of the natural gas network, and taking into account the gas inertia output, thermal inertia output, and demand-side output, an initial multi-energy inertia power support model is established on the basis of the power support model that takes into account multi-energy inertia in Step 2. Finally, under the premise of ensuring the system reliability level, the final optimized multi-energy inertia power support model is established with the goal of minimizing the total cost of inertia support.

2. The multi-energy inertial support method considering dynamic parameters of a natural gas network according to claim 1, characterized in that, The thermal inertia model of the thermal network in step 2 consists of a time delay model of thermal fluctuations in the transmission pipes, a heat loss model of thermal fluctuations in the transmission pipes, and a heat loss model of the thermal building, as follows: In the formula, For the delay of heat fluctuations in the transmission pipeline, The length of the transmission pipe, For hot water flow rate, The heat loss rate of the transmission pipeline. For heat loss in transmission pipelines, For heat loss in thermal buildings, The heat dissipation coefficient of a thermal building. For the indoor temperature of a heated building, The outdoor temperature of a thermal building.

3. The multi-energy inertial support method considering dynamic parameters of a natural gas network according to claim 1, characterized in that, The power support model that takes into account multi-energy inertia in step 2 is as follows: In the formula, , , , These are the constant coefficients of the thermal inertia power support model. For thermal inertia during the support time The support power that can be provided at that time , , , These are the constant coefficients of the air inertial power support model. For air inertia during the support time The supporting power that can be provided at that time.

4. The multi-energy inertial support method considering dynamic parameters of a natural gas network according to claim 1, characterized in that, The initial multi-energy inertial power support model in step 3 is as follows: In the formula, For the first A load group, ( )for Time-based load group The inertial force of the air at the location, for The power deficit at any given moment ( )for Time-based load group The inertial force of the air at the location, ( )for Load groups other than faulty load groups at all times Thermal power offset at that location ( ) represents the thermal power offset at the faulty load group. The electrothermal conversion efficiency coefficient of the electric boiler. This is the efficiency coefficient of the transformer. The gas-to-electricity conversion efficiency of the CHP unit. The gas-heat conversion efficiency of the CHP unit.

5. A multi-energy inertial support method considering dynamic parameters of a natural gas network according to claim 1, characterized in that, The optimized multi-energy inertial power support model in step 3 is as follows: In the formula, The total cost of inertial power support is respectively Air inertia output cost Demand-side output cost.

6. The multi-energy inertial support method considering dynamic parameters of a natural gas network according to claim 1, characterized in that, The cost model for air inertial output in step 3 is as follows: The thermal inertia output cost model is as follows: The demand-side output cost model is as follows: In the formula, It refers to the duration of the fault. It is the initial moment when the fault occurs. The fault occurred in the load group In the pipeline Unit cost of gas storage =1, 2, 3、 =4, 5; The fault occurred in the load group The unit cost of gas storage in pipeline 36 at that time. The fault occurred in the load group The unit cost of thermal inertia output at that time n =1, 2, 3; The fault occurred in the load group Load group at time Demand-side efforts Unit cost at the level n =1, 2, 3; ( ) yes Time-based load group Thermal inertia output power, c =1, 2, 3; ( )yes Time-based load group In Thermal offset in horizontal direction c =1, 2, 3; M This represents the total number of price tiers on the demand side. C This represents the total number of load groups in the microgrid. C =3.

7. A multi-energy inertial support system considering dynamic parameters of a natural gas network, characterized in that, The system is used to implement the multi-energy inertial support method considering dynamic parameters of a natural gas network as described in claim 1, and the system includes: The natural gas system gas inertia module is used to establish a natural gas system gas inertia model by using the pressure of natural gas network nodes, gas flow rate, and gas pipeline storage model. The thermal inertia module of the thermal network is used to establish a thermal inertia model of the thermal network by using the time delay model of thermal fluctuations in the transmission pipeline, the heat loss model of thermal fluctuations in the transmission pipeline, and the heat loss model of the thermal building. The power support module is used to establish a power support model that takes into account multi-energy inertia using the gas inertia model of the natural gas system and the thermal inertia model of the thermal network. The multi-energy inertial power support module is used to establish an initial multi-energy inertial power support model based on the power support model. The optimization module is used to optimize the initial multi-energy inertial power support model to obtain the final optimized multi-energy inertial power support model.

8. A multi-energy inertial support controller that takes into account dynamic parameters of a natural gas network, storing a program for running the multi-energy inertial support system that takes into account dynamic parameters of a natural gas network as described in claim 7.

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