Modeling method and system for equivalent optimization scheduling model of electrothermal coupling system, and computer equipment

Abstract

The invention belongs to the technical field of energy systems, and relates to a modeling method and system for an equivalent optimization scheduling model of an electrothermal coupling system, and computer equipment. The modeling method comprises the following steps: constructing an equivalent energy storage model; the equivalent energy storage model is divided into a scheduling time period layer and a sub-time period layer in time sequence, the time scale of the scheduling time period is consistent with the time scale of the thermal load, and the time scale of the sub-time period is consistent with the time scale of the electrical load; designing equivalent energy storage parameters; constructing a mathematical model of the equivalent energy storage model according to the equivalent energy storage model and the equivalent energy storage parameters; constructing a target function and a constraint condition of the electrothermal coupling system equivalent optimization scheduling model, and forming the electrothermal coupling system equivalent optimization scheduling model; the constraint condition comprises a generator set output constraint, a power grid rack constraint and an equivalent energy storage model constraint formed by a mathematical model of the equivalent energy storage model. The problems that in the prior art, thermal inertia of heat energy transmission cannot be sufficiently depicted and excavated, and electric heating multi-time-scale joint optimization scheduling is complex are solved.

Description

Technical Field

[0001] The present invention belongs to the technical field of energy systems, and in particular relates to a modeling method, system and computer equipment for an equivalent optimization scheduling model of an electric-thermal coupling system. Background Art

[0002] The integrated energy system can break down the barriers between different energy categories, promote the complementarity between different types of energy, change the energy production mode, supply system and consumption mode, enhance the flexibility of energy in production, transmission, storage, consumption and other links, promote the cleanness of energy at the production and consumption ends, and provide important support for the construction of new power systems and new energy systems. However, in the electric-thermal coupled interconnected micro-energy grid system, the transmission of electric energy and thermal energy is very different in time scale, which has led to a series of problems that need to be solved urgently.

[0003] First of all, the two heterogeneous energy forms of electric energy and thermal energy have significant differences in energy transmission. The response speed of electric energy transmission is extremely fast, and its dynamic process is on the time scale of nanoseconds to milliseconds. However, due to the limited flow rate of the heating medium, there is a certain delay in the transmission of thermal energy, and its dynamic process is usually on the time scale of minutes to hours. This means that the production and use of electric energy need to be balanced in real time, while the transmission of thermal energy has a time delay characteristic, that is, the phenomenon of thermal inertia. The supply and demand of thermal energy cannot maintain the same precise balance as electric energy. Although the supply and demand of thermal energy do not need to be balanced in real time, thermal energy still needs to be generally balanced within a scheduling cycle.

[0004] Secondly, in the economic dispatch of traditional electric-thermal coupling systems, the quasi-dynamic model of the thermal network based on the traditional node method still has room for improvement in utilizing the thermal inertia of the thermal network to adapt to the output of power grid units and power load conditions and to improve the flexibility of electric-thermal coordinated operation.

[0005] Finally, the direct introduction of the thermal system increases the complexity of the original power system dispatch. The increase in thermal energy dispatch-related constraints reduces the solution speed of the electric-thermal joint dispatch to a certain extent, and there is no electric-thermal joint dispatch center in reality.

[0006] Therefore, how to fully characterize and exploit the thermal inertia of heat energy transmission, and how to carry out multi-time scale joint optimization scheduling of electricity and heat to solve the above problems, is a major difficulty. Summary of the invention

[0007] The purpose of the present invention is to provide a modeling method, system and computer equipment for an equivalent optimization scheduling model of an electrothermal coupling system, which solves the problem that the prior art cannot fully characterize and exploit the thermal inertia of thermal energy transmission and the complexity of electrothermal multi-time scale joint optimization scheduling.

[0008] The present invention is achieved through the following technical solutions:

[0009] The present invention discloses a modeling method for an equivalent optimization scheduling model of an electric-thermal coupling system, comprising:

[0010] Constructing an equivalent energy storage model; the equivalent energy storage model is divided into a scheduling period layer and a sub-period layer in terms of time sequence, the scheduling period time scale is consistent with the heat load time scale, and the sub-period time scale is consistent with the electric load time scale;

[0011] Design equivalent energy storage parameters; construct a mathematical model of the equivalent energy storage model based on the equivalent energy storage model and the equivalent energy storage parameters;

[0012] Construct the objective function and constraint conditions of the equivalent optimization scheduling model of the electrothermal coupling system; thus, the equivalent optimization scheduling model of the electrothermal coupling system is formed;

[0013] The constraints include generator set output constraints, power grid constraints and equivalent energy storage model constraints;

[0014] The mathematical model of the equivalent energy storage model constitutes the equivalent energy storage model constraint.

[0015] Furthermore, the scheduling period layer reflects the charging and discharging power and energy state transfer of each scheduling period of equivalent energy storage;

[0016] The number of scheduling periods preset in the scheduling period layer is consistent with the number of heat load periods;

[0017] The energy state of the current scheduling period is obtained after charging and discharging to obtain the energy state of the next scheduling period. The charging and discharging power corresponding to the current scheduling period is the accumulation of the charging and discharging power of each sub-period.

[0018] Furthermore, the sub-period layer reflects the charging and discharging power and energy state transfer of several sub-periods within a certain scheduling period;

[0019] The energy state of the current sub-period is obtained after charging and discharging to obtain the energy state of the next sub-period.

[0020] Furthermore, the equivalent energy storage parameters include an upper capacity limit, a lower capacity limit, a heat storage efficiency and a heat release efficiency for each scheduling period.

[0021] Furthermore, the mathematical model of the equivalent energy storage model is shown in equations (1)-(9);

[0022]

[0023] Where: T is the grid dispatching period set; T HS is a set of equal-value energy storage scheduling periods; T S is the set of sub-periods that match the grid dispatch cycle within a single dispatch period of equivalent energy storage; P eb,t It represents the electric power consumed by the electric heat pump in period t; represents the upper limit of the power consumption of the electric heat pump in period t, Indicates the lower limit of the power consumption of the electric heat pump in period t; H uh,t It represents the heat load required by the heat user in period t; and It represents the upper and lower limits of the heat load of the heat user in period t;

[0024] u h Indicates the uth h Hot users; represents the total number of heat users; B represents the set of electric heat pump equipment;

[0025] Indicates the equivalent energy storage at t HS Time period t S The thermal storage power of the sub-period is related to P eb,t corresponding; Indicates the equivalent energy storage at t HS Time period t S The heat release power in the sub-period corresponds to the heat load; Indicates the equivalent energy storage at t HS Time period t S +1 sub-period of heat status; Indicates the equivalent energy storage at t HS Time period t S The heat content of the sub-period; η EB Indicates the electric heat conversion efficiency of the electric heat pump; and They represent the equivalent energy storage at t HS Heat storage efficiency and heat release efficiency of each time period;

[0026] Indicates the equivalent energy storage at t HS The capacity limit of the time period; Indicates the equivalent energy storage at t HS The lower capacity limit of the time period.

[0027] Furthermore, a single scheduling period is composed of T S The sub-periods are composed of sub-periods, the time scale of the sub-periods matches the time scale of the power grid dispatch, and the replacement heat network is coordinated with the power grid for dispatch;

[0028] Then the equivalent energy storage sub-period and the power grid dispatching period t have the following corresponding relationship:

[0029] T S (t HS -1)+t S =t(9).

[0030] Furthermore, the objective function of the equivalent optimization scheduling model of the electric-thermal coupling system is composed of the total power generation cost of the generator set and the penalty for wind and solar power abandonment, as shown below:

[0031]

[0032] in, and represents the start and stop status of the conventional generator set g during period t; z g,t is the operating status of the conventional generator set g during period t; P g,t and P r,t are the outputs of conventional generator set g and new energy generator set r in period t respectively; P r,t,max is the maximum output that the new energy generator r can actually generate during period t; on and γ off represents the start and stop price of conventional generator sets; a g 、b g and c g are the cost coefficients of conventional generator sets; γ rc The penalty price for abandoning wind and solar power.

[0033] Furthermore, the generator set output constraints are shown in equations (11)-(20);

[0034] Formula (11) constrains the relationship between the start-stop state and the operating state of conventional generator sets; Formula (12) constrains conventional generator sets from being started and shut down in the same period; Formula (13) limits the maximum number of start-stop times of conventional generator sets within the scheduling cycle; Formulas (14) and (15) limit the minimum start-up and shutdown time of conventional generator sets; Formulas (16) and (17) limit the active and reactive output of conventional generator sets within a certain range; Formula (18) constrains the active output adjustment rate of conventional generator sets; Formulas (19) and (20) constrain the upper and lower limits of the active and reactive output of renewable energy generator sets;

[0035]

[0036]

[0037] in, is the maximum number of starts and stops of conventional generator set g during the dispatch cycle; is the minimum start time of the conventional generator set g; is the minimum shutdown time of the conventional generator set g; Q g,t is the reactive power output of the conventional generator set g during period t; P g,max and P g,min are respectively the upper limits of active output of conventional generator set g; P g,minis the lower limit of active output of conventional generator set g; Q g,max is the upper limit of reactive power output of conventional generator set g; Q g,min is the lower limit of reactive power output of conventional generator set g; R g,max is the upper limit of the output adjustment of the conventional generator set g; R g,min is the lower limit of the output adjustment of the conventional generator set g; Q r,t is the reactive power output of the new energy generator r in period t; is the power factor angle;

[0038] Assemble for new energy generators; It is a collection of conventional generator sets; g,t is the operating state of the conventional generator set during the period of time g to t; r,t is the output of the new energy generator r in period t; P r,t,max It is the maximum output that the new energy generator set r can actually generate during period t.

[0039] Furthermore, the grid constraints are as shown in equations (21)-(28);

[0040] Formula (21) and Formula (22) are line flow constraints. The active power and reactive power transmitted by the line are jointly determined by the node voltage and line admittance. Formula (23) is the node active power balance constraint. The active power injected into the node by the generator set and the line is dynamically balanced with the power load consumption such as the electric heat pump and the active power output of the line in each time period. Formula (24) is the node reactive power balance constraint. The reactive power injected into the node by the generator set, the line and the reactive compensation equipment is dynamically balanced with the power load consumption and the reactive power output of the line in each time period. Formula (25) is the node reactive compensation constraint. The reactive power injected into the node by the reactive compensation equipment is related to the node voltage amplitude. Formula (26) and Formulas (27)-(28) respectively constrain the adjustment range of the line transmission capacity and the node voltage amplitude phase angle.

[0041]

[0042] Among them, P ij,t , Q ij,t are the active power and reactive power of branch ij at time t respectively; V i,t 、V j,t are the voltage amplitudes of nodes i and j at time t respectively; θ i,t ,θ j,t are the voltage phase angles of node i and node j at time t; g ij +jb ijis the branch admittance of branch ij; G(i) represents the set of conventional generators connected to node i; R(i) represents the set of new energy generators connected to node i; B(i) represents the set of electric heat pumps connected to node i; Br(i) represents the set of lines connected to node i; P d,i,t , Q d,i,t They represent the active and reactive load requirements of node i in period t respectively; P g,t is the active output of generator set g during period t; Q g,t is the reactive power output of generator set g during period t; Q sh,i,t P is the charging power of the parallel-connected ground admittance of node i in period t; ij,max is the upper limit of the transmission capacity of line ij; V max is the upper limit of the node voltage amplitude; V min is the lower limit of the node voltage amplitude; θ max is the upper limit of the node voltage phase angle; θ min is the lower limit of the node voltage phase angle; For branch collection;

[0043] A collection of nodes.

[0044] The present invention also discloses a modeling system for an equivalent optimization scheduling model of an electric-thermal coupling system, comprising:

[0045] The first construction module is used to construct an equivalent energy storage model; the equivalent energy storage model is divided into a scheduling period layer and a sub-period layer in terms of time sequence, the scheduling period time scale is consistent with the heat load time scale, and the sub-period time scale is consistent with the electric load time scale;

[0046] A design module is used to design equivalent energy storage parameters; a mathematical model of the equivalent energy storage model is constructed according to the equivalent energy storage model and the equivalent energy storage parameters;

[0047] The second construction module is used to construct the objective function and constraint conditions of the equivalent optimization scheduling model of the electrothermal coupling system to form the equivalent optimization scheduling model of the electrothermal coupling system; the constraint conditions include the output constraint of the generator set, the grid constraint and the equivalent energy storage model constraint; the mathematical model of the equivalent energy storage model constitutes the equivalent energy storage model constraint.

[0048] The present invention also discloses a computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the modeling method of the equivalent optimization scheduling model of the electrothermal coupling system are implemented.

[0049] Compared with the prior art, the present invention has the following beneficial technical effects:

[0050] The present invention discloses a modeling method for an equivalent optimization scheduling model of an electric-thermal coupling system, which uses a similar energy storage model to perform equivalent optimization on a heating network to form an equivalent energy storage model. The construction of the equivalent energy storage model of the heating network can fully characterize and process the thermal inertia of the heating network, while realizing multi-time scale scheduling of electric and thermal power, improving the flexibility of electric and thermal coordinated operation and reducing the complexity of electric and thermal joint scheduling.

[0051] The equivalent energy storage model is designed in layers on a time scale. The scheduling period layer corresponds to the thermal load time scale, which means that scheduling planning is carried out at this time scale when considering the changing pattern and demand of the thermal load. The sub-period layer corresponds to the electric load time scale and can more finely reflect the dynamic changes of the electric load. Through this hierarchical design, the characteristics of different types of loads in the electric-thermal coupling system can be better taken into account, and the accuracy and effectiveness of scheduling can be improved.

[0052] The design of equivalent energy storage parameters needs to fully consider the actual operation and requirements of the electric-thermal coupling system. These parameters will determine the performance and applicability of the equivalent energy storage model. A mathematical model is constructed based on the equivalent energy storage model and the designed equivalent energy storage parameters. This mathematical model will serve as an important part of the constraints of the equivalent energy storage model and provide key constraints for the entire optimization scheduling model.

[0053] Construct objective functions and constraints, including generator output constraints, grid constraints, and equivalent energy storage model constraints. The objective function is usually determined based on a comprehensive consideration of multiple factors such as system operating costs, energy efficiency, and reliability.

[0054] Generator output constraints: The output of the generator set needs to meet certain range restrictions to ensure the safe and stable operation of the system. This includes the minimum and maximum output limits of the generator set, the ramp rate limit, etc.

[0055] Grid constraints: Grid constraints mainly consider factors such as transmission capacity limitations and voltage stability of the grid. They ensure the safe transmission of electricity in the grid and avoid problems such as overload and voltage exceeding the limit.

[0056] Equivalent energy storage model constraint: It is composed of the mathematical model of the equivalent energy storage model. This constraint ensures that the equivalent energy storage can be charged and discharged and store energy according to the predetermined model during the scheduling process to achieve optimal scheduling of the electric and thermal coupling system.

[0057] Through the above process, a complete equivalent optimization scheduling model for the electric-thermal coupling system can be constructed. This model can effectively coordinate the power and thermal resources in the electric-thermal coupling system to achieve efficient and stable operation of the system. At the same time, by reasonably designing the objective function and constraints, different operation requirements and optimization goals can be met. On the thermal system side, on the one hand, considering the virtual energy storage characteristics of thermal energy when it is transmitted in the pipeline network, and on the other hand, considering that there is no electric-thermal joint scheduling center in reality, the heating network is equivalent to a quasi-energy storage model to fully characterize and process the thermal inertia of thermal energy, and the optimal scheduling of the electric-thermal coupling system with equivalent energy storage can be carried out only through the power dispatching center that governs the power system. Based on the equivalent energy storage of the heat network, the electric-thermal coordinated optimization scheduling of the electric-thermal coupling system can be carried out. On the one hand, it can solve the multi-time scale scheduling problem in the electric-thermal coupling system, and on the other hand, it can improve the flexibility of electric-thermal coordinated operation in the electric-thermal coupling system. In addition, it can reduce the complexity of electric-thermal joint scheduling in the electric-thermal coupling system. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] Figure 1 This is a schematic diagram of equivalent energy storage of the electrothermal coupling system in Example 2 of the present invention;

[0059] Figure 2 A schematic diagram of heat energy transfer considering thermal inertia provided in Example 2 of the present invention;

[0060] Figure 3 A schematic diagram of an equivalent energy storage model provided in Example 2 of the present invention;

[0061] Figure 4 A relationship diagram between equivalent energy storage and power grid heating network dispatching period provided in Example 2 of the present invention;

[0062] Figure 5 This is a schematic diagram of equivalent optimization scheduling of the electric-thermal coupling system provided by the present invention;

[0063] Figure 6 A flow chart of a modeling method of an equivalent optimization scheduling model of an electric-thermal coupling system of the present invention;

[0064] Figure 7 The present invention is a block diagram of a modeling system for an equivalent optimization scheduling model of an electric-thermal coupling system. DETAILED DESCRIPTION

[0065] In order to make the purpose, technical solution and advantages of the present invention more clear, the following is further described in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention, that is, the embodiments described are only part of the embodiments of the present invention, not all embodiments.

[0066] The detailed description of the embodiments of the present invention provided in the following drawings is not intended to limit the scope of the invention claimed for protection, but merely represents a selected embodiment of the present invention. Based on the drawings and embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0067] Example 1

[0068] like Figure 6 As shown, the present invention discloses a modeling method of an equivalent optimization scheduling model of an electric-thermal coupling system, comprising:

[0069] Constructing an equivalent energy storage model; the equivalent energy storage model is divided into a scheduling period layer and a sub-period layer in terms of time sequence, the scheduling period time scale is consistent with the heat load time scale, and the sub-period time scale is consistent with the electric load time scale;

[0070] Design equivalent energy storage parameters; construct a mathematical model of the equivalent energy storage model based on the equivalent energy storage model and the equivalent energy storage parameters;

[0071] Construct the objective function and constraint conditions of the equivalent optimization scheduling model of the electrothermal coupling system to form the equivalent optimization scheduling model of the electrothermal coupling system;

[0072] The constraints include generator set output constraints, power grid constraints and equivalent energy storage model constraints;

[0073] The mathematical model of the equivalent energy storage model constitutes the equivalent energy storage model constraint.

[0074] Example 2

[0075] The technical concept of the present invention will be introduced from the following aspects.

[0076] (I) Equivalent energy storage mode and principle

[0077] Please refer to Figure 1 , Figure 1 This is a schematic diagram of equivalent energy storage of an electrothermal coupling system in an embodiment of the present invention, and is specifically explained as follows:

[0078] The electric-thermal coupling system with an actual heating network takes the electric power system as the main body, and couples the transmission network and the heating network through an electric heat pump. The electric power system side is supplied with electricity by conventional power plants and new energy power plants such as wind power and photovoltaic power, and is transmitted to the user end through the transmission network for use. The thermal system side is essentially the user end of the electric power system, which uses an electric heat pump to convert electrical energy into thermal energy, and the thermal transmission network composed of heating pipes and heat return pipes meets the thermal load requirements of many thermal energy users. However, thermal energy has thermal inertia, and has virtual energy storage characteristics when it is transmitted in the pipeline network, which is reflected in a longer time scale for user use. The present invention will Figure 1The heat distribution network shown, i.e., the heating network equivalent, is a quasi-energy storage model and is called equivalent energy storage to characterize and process the thermal inertia of thermal energy.

[0079] In addition, the optimal scheduling of the traditional electric-thermal coupling system with an actual heating network requires an electric-thermal joint scheduling center to coordinate the data information of the power system and the thermal system, but there is actually no electric-thermal joint scheduling center. Therefore, from the perspective of the power system, the heating network is equivalent to a storage-like model for use by the power network scheduling center, so that the optimal scheduling of the electric-thermal coupling system with equivalent energy storage can be carried out only by data interaction with the power system.

[0080] In terms of multi-timescale dispatching of electric heat, the equivalent energy storage of the heat network first determines the number of dispatching periods according to the heat load situation, which is definitely less than the number of dispatching periods of the power grid. In addition, in order to adapt to the number of dispatching periods of the power grid, the equivalent energy storage is divided into sub-dispatching periods according to the dispatching time scale of the power grid within a single dispatching period. The parameters of each sub-period in a single dispatching period are consistent and can be regarded as sub-equivalent energy storage, while the parameters of each dispatching period are time-varying, so the equivalent energy storage can be regarded as the series connection of sub-equivalent energy storage in time. Therefore, the equivalent energy storage solves the multi-timescale dispatching problem while meeting the thermal inertia requirements of the heat network.

[0081] In terms of improving the flexibility of the coordinated operation of electricity and heat, although the quasi-dynamic model of the heat network based on the traditional node method can accurately characterize the thermal inertia of the heat network, there is still room for exploration in the utilization of the thermal inertia of the heat network in the process of coordinated dispatch with the power grid. Equating the heat network to a quasi-energy storage model allows the decoupling of electricity and heat to a certain extent, so that the combined dispatch of electricity and heat can further utilize the thermal inertia of the heat network according to the output of renewable energy and power load in the power system. Therefore, the equivalent energy storage improves the flexibility of the coordinated operation of electricity and heat while meeting the thermal load demand of the heat network.

[0082] In terms of reducing the complexity of combined electric and thermal dispatch, given that the purpose of considering thermal energy dispatch in combined electric and thermal dispatch is to serve the grid dispatch, and there is actually no combined electric and thermal dispatch center. The equivalent energy storage of the heat network replaces many complex constraints such as node thermal power interaction constraints, node temperature mixing constraints, and pipeline flow-related constraints required by the original heat network pipe network with a relatively simple equivalent energy storage model, reducing the number of constraints related to thermal energy dispatch in combined electric and thermal dispatch. As a result, equivalent energy storage reduces the complexity of combined electric and thermal dispatch, and only requires the grid dispatch center to implement it.

[0083] (II) Equivalent energy storage model of heat network

[0084] Next, the equivalent energy storage model of the heat network is described in detail.

[0085] In an electrothermal coupling system, the transmission of electrical energy and thermal energy differs greatly in time scale. The dynamic process of electrical energy transmission is on a nanosecond to millisecond time scale, while the dynamic process of thermal energy transmission is usually on a minute to hour time scale. This means that the production and use of electrical energy need to be balanced in real time, and thermal energy transmission has a time delay characteristic, that is, thermal inertia. Thermal energy supply and demand do not need to maintain a precise balance like electrical energy. Although thermal energy supply and demand do not need to be balanced in real time, thermal energy still needs to be balanced overall within a scheduling cycle. How to fully characterize and utilize the thermal inertia of thermal energy transmission and conduct joint optimization scheduling of electrical and thermal energy at multiple time scales is a major difficulty.

[0086] 1. Heat transfer considering thermal inertia

[0087] The time delay characteristic of heat transmission from heat source to user makes the heat transmission network have natural energy storage characteristics. The schematic diagram of heat energy transmission considering thermal inertia is shown in the figure below. Figure 2 As shown in the figure, heat energy is first produced by heat source heating equipment such as electric heat pumps, then transmitted through the heat pipe network composed of heat supply pipes and heat return pipes, and finally used by heat energy users to meet the heat load demand. The key to considering the thermal inertia of the heat network is to model the time delay characteristics of heat energy transmission. Heat energy transmission depends on the temperature of the heat medium inside the pipe network. The node method is widely used because it can accurately describe the quasi-dynamic characteristics of the temperature of the heat medium inside the pipe network.

[0088] Figure 2 (b) Taking pipeline ij as an example, the core idea of ​​the node method for dealing with transmission delay problems is explained. First, pipeline ij is divided into continuous and equal-length blocks according to the scheduling period Δt (generally a sub-hour time scale). Each block is the flow rate flowing into the pipeline within a single scheduling period Δt, and the temperature in each block is assumed to remain unchanged. The time required for a block to be transmitted from the inlet to the outlet of pipeline ij is τ ij Considering τ ij Usually it is not an integer multiple of the scheduling period Δt, respectively for τ ij / Δt rounded down and up to get σ ij and σ ij +1 can be regarded as the number of two masses arranged consecutively at the outlet of pipe ij.

[0089] The part flowing out of pipe ij during this period is Figure 2 As shown in the red vertical line in (b), the ij Mass and σ ij +1 mass blocks each take a part of the composition, and occupy the σth ij The mass ratio is κ ij The temperature at the outlet of pipe ij during this period is Then the inlet of the pipe ij in the time period t-σ ij Temperature and time period t-σij -1 temperature According to the proportion ij Determined, and there is a certain amount of heat loss.

[0090] Assume that the delay from heat source to user is Δt delay ,from Figure 2 As can be seen from (c), the heat source output and heat load are not matched in real time, but after a transmission delay Δt delay and a certain transmission loss to match the heat load. Figure 2 In (c), the situation where the heat source output is higher than the heat load is regarded as heat storage in the thermal network, while the situation where the heat source output is lower than the heat load is regarded as heat release in the thermal network. It can be seen that thermal inertia makes thermal energy transport have virtual energy storage characteristics.

[0091] 2. Heat network equivalent energy storage model

[0092] Because thermal energy has thermal inertia, its changes in transmission and use are slower than those of electrical energy. In transmission, it is reflected as a virtual energy storage characteristic, while in use, it is reflected in the fact that the thermal load and electrical load demands are at different time scales. In order to deal with this multi-time-scale scheduling problem of electric-thermal energy that takes into account the virtual energy storage characteristics of the thermal network, the traditional method is to use node methods to model the dynamic characteristics of the thermal network, match the thermal energy scheduling time scale with the electrical energy scheduling time scale, and then realize the joint optimization scheduling of the electric-thermal coupling system. Although the traditional node method can accurately characterize the dynamic characteristics of the thermal network, it requires a non-existent electric-thermal joint scheduling center for comprehensive implementation, and the model is still relatively complex and requires a large amount of calculation.

[0093] The present invention proposes an equivalent energy storage model, performs equivalent operation on the dynamic model of the heating network, fully and intuitively describes the virtual energy storage characteristics through the relevant parameters of the equivalent energy storage, and simplifies the electric and thermal coupling joint scheduling model, in order to reduce the computational complexity and improve the calculation speed while solving the multi-time scale scheduling problem.

[0094] The schematic diagram of the equivalent energy storage model is as follows Figure 3 As shown, the present invention is based on the traditional energy storage model and makes adaptive changes to propose an equivalent energy storage model to fully characterize and process the virtual energy storage characteristics in transmission brought about by thermal inertia of thermal energy and different time scales in use.

[0095] First of all, in order to fully characterize the virtual energy storage characteristics in thermal energy transmission, the most intuitive way of expression is to equate the thermal network to a quasi-energy storage model. The thermal energy output of the electric heat pump can be regarded as a quasi-energy storage heat storage process, and the thermal energy consumption of the heat load can be regarded as a quasi-energy storage heat release process. The heat storage and heat release powers may not be equal, but are subject to the constraints of the quasi-energy storage capacity. Therefore, the virtual energy storage characteristics in thermal energy transmission can be characterized by obtaining the corresponding energy storage parameters of the quasi-energy storage model, such as the energy storage capacity characterizing the virtual energy storage capacity of the thermal network, and the energy storage charging and discharging efficiency characterizing the heat loss in thermal energy transmission. The present invention intends to fully and intuitively characterize the virtual energy storage characteristics based on the traditional energy storage model through the idea of ​​equivalence. If the traditional energy storage model is used directly, it cannot solve the problem that electric heat is in different time scales. Even if it is assumed that electric heat is on the same time scale, the accuracy of equivalent scheduling cannot meet the corresponding requirements, so it is necessary to make two adaptive changes to the traditional energy storage model.

[0096] 1) In order to deal with different time scales of thermal energy use, the traditional energy storage model is divided into a scheduling period layer and a sub-period layer in terms of time sequence. The scheduling period corresponds to the thermal load time scale, and the sub-period corresponds to the electrical load time scale.

[0097] Figure 3 The first layer is a schematic diagram of the charging and discharging power and energy state transition of the equivalent energy storage in each scheduling period. The number of scheduling periods is T HS , which is consistent with the number of heat load periods, with the subscript t HS Differentiate each scheduling period. The energy state of the current scheduling period is obtained after charging and discharging to obtain the energy state of the next scheduling period, and the corresponding charging and discharging power is the accumulation of the charging and discharging power of each scheduling sub-period.

[0098] Figure 3 The second layer is the tth HS Schematic diagram of the charging and discharging power and energy state transition of several sub-periods within the scheduling period, the number of sub-periods is T S , with superscript t S Distinguish each sub-period. The charging and discharging power and energy state transfer logic of each sub-period are no different from those of each scheduling period, but in terms of time scale, the sub-period is consistent with the electrical load. The division of scheduling periods and sub-periods is a change made to meet both thermal energy requirements and electrical energy characteristics, and is also the key to dealing with different time scale issues of electric heat.

[0099] 2) In order to better characterize and utilize the characteristics of virtual energy storage in thermal energy transmission, the corresponding equivalent energy storage parameters of each scheduling period of equivalent energy storage are time-varying.

[0100] The equivalent energy storage parameters include the upper and lower limits of capacity, heat storage efficiency and heat release efficiency in each dispatch period. Figure 3The first layer is listed in the scheduling period block. When meeting different heat load levels, the state of the heat network is also different, so there are differences in the virtual energy storage characteristics of the heat network between different scheduling periods. The time-varying parameters of the equivalent energy storage in each scheduling period can better characterize the virtual energy storage characteristics and improve the accuracy of the equivalent scheduling.

[0101] The mathematical model of the equivalent energy storage model is shown in equations (1)-(9).

[0102] Formula (1) is the outer layer model of equivalent energy storage, which represents the energy state constraints between each scheduling period of equivalent energy storage. The energy state of a scheduling period is transferred between scheduling periods, which is the link between two scheduling periods. The charging and discharging power of a single scheduling period is the cumulative sum of each sub-period. The charging and discharging power of different scheduling periods corresponds to different charging and discharging efficiencies, which is conducive to improving the equivalent accuracy and fully describing the thermal inertia.

[0103] Formula (2) is the inner layer model of equivalent energy storage, which represents the energy state constraints between each sub-period in a single dispatch period of equivalent energy storage. The energy state of the first sub-period of each dispatch period is also the energy state of the dispatch period, and the charging and discharging efficiency of each sub-period under the same dispatch period is the same. The time scale of each sub-period matches the power grid, and the sum of each sub-period is formula (1), whose time scale matches the heat network;

[0104] Formula (3) indicates that the electric heat conversion of the electric heat pump has certain losses;

[0105] Formula (4) indicates that the sum of all users’ heat loads is the heat release power of equivalent energy storage;

[0106] Formula (5) constrains the energy state of equivalent energy storage after one day of dispatch to be the same as the initial energy state;

[0107] Formulas (6)-(8) are inequality constraints, which respectively constrain the upper and lower limits of the electric heat pump power consumption, the upper and lower limits of the user's heat load, and the upper and lower limits of the equivalent energy storage capacity.

[0108]

[0109]

[0110] Where: T is the grid dispatching period set; T HS is a set of equal-value energy storage scheduling periods; T S is the set of sub-periods that match the grid dispatch cycle within a single dispatch period of equivalent energy storage; P eb,t It represents the electric power consumed by the electric heat pump in period t; represents the upper limit of the power consumption of the electric heat pump in period t, Indicates the lower limit of the power consumption of the electric heat pump in period t; H uh,t It represents the heat load required by the heat user in period t; and It represents the upper and lower limits of the heat load of the heat user in period t;

[0111] u h Indicates the uth h Hot users; represents the total number of heat users; B represents the set of electric heat pump equipment;

[0112] Indicates the equivalent energy storage at t HS Time period t S The thermal storage power of the sub-period is related to P eb,t corresponding; Indicates the equivalent energy storage at t HS Time period t S The heat release power in the sub-period corresponds to the heat load; Indicates the equivalent energy storage at t HS Time period t S +1 sub-period of heat status; Indicates the equivalent energy storage at t HS Time period t S The heat content of the sub-period; η EB Indicates the electric heat conversion efficiency of the electric heat pump; and They represent the equivalent energy storage at t HS Heat storage efficiency and heat release efficiency of each time period;

[0113] Indicates the equivalent energy storage at t HS The capacity limit of the time period; Indicates the equivalent energy storage at t HS The lower capacity limit of the time period.

[0114] The relationship between equivalent energy storage and power grid and heating network dispatch period is as follows: Figure 4 shown. Figure 4 The different number of sub-blocks in the same color block of electric heat indicates different time scales of electric heat load demand. Considering the dynamic characteristics of thermal energy, the total number of dispatching periods of the heat network dispatching and the power grid dispatching is the same, which is T. The time scale of equivalent energy storage is consistent with the time scale of thermal load, and its total number of dispatching periods is T HS , where a single equivalent energy storage dispatch period is composed of T S The sub-periods are composed of sub-periods, and the sub-period time scale matches the grid dispatch time scale, thereby replacing the heat network to coordinate dispatch with the grid. The equivalent energy storage sub-period and the grid dispatch t period have the following corresponding relationship:

[0115] T S (t HS -1)+t S =t (9)

[0116] (III) Equivalent Optimal Scheduling Model for Electric-Thermal Coupling System

[0117] The schematic diagram of equivalent optimization scheduling of the electrothermal coupling system is as follows Figure 5 As shown. The power system side is still supplied by conventional thermal power plants and new energy power plants such as wind power and photovoltaic power plants, which are transmitted to the user end for use through the transmission network. On the thermal system side, on the one hand, considering the virtual energy storage characteristics that exist when thermal energy is transmitted in the pipeline network, and on the other hand, considering that there is no electric-thermal joint dispatching center in reality, the heating network is equivalent to a quasi-energy storage model to fully characterize and process the thermal inertia of thermal energy, and the optimal dispatch of the electric-thermal coupling system with equivalent energy storage can be carried out only through the power dispatching center that governs the power system.

[0118] 1. Objective Function

[0119] In the equivalent optimization dispatch model of the heat network of the electric-thermal coupling system, the heat network is equivalent to an energy storage model to consider the thermal inertia of the heat network and perform multi-time scale dispatch. The objective function of the optimization dispatch model has not changed and is still composed of the total power generation cost of the generator set and the penalty for wind and solar power abandonment, as shown below:

[0120]

[0121] in, and is the start and stop status of the conventional generator set g during period t; g,t is the operating status of the conventional generator set g during period t; P g,t and P r,t are the outputs of conventional generator set g and new energy generator set r in period t respectively; P r,t,max is the maximum output that the new energy generator r can actually generate during period t; on and γ off is the start-stop price of conventional generator sets; a g 、b g and c g are the cost coefficients of conventional generator sets; γ rc The penalty price for abandoning wind and solar power.

[0122] 2. Constraints

[0123] The constraints of equivalent optimal dispatch include generator output constraints, grid constraints, and equivalent energy storage model constraints. The main difference between equivalent optimal dispatch and traditional optimal dispatch is that the dynamic model constraints of the heat network and the constraints of the electric-thermal coupling equipment are replaced by the equivalent energy storage model constraints, while the other constraints remain unchanged.

[0124] 1) Generator output constraints

[0125] Generator output constraints limit the start and stop of conventional generators, their active and reactive outputs, and the unit adjustment of active outputs and the active and reactive outputs of renewable energy generators to ensure stable and reliable outputs of generators.

[0126] Formula (11) constrains the relationship between the start-stop state and the operating state of conventional generator sets; Formula (12) constrains that conventional generator sets cannot be started and shut down in the same period; Formula (13) limits the maximum number of start-stop times of conventional generator sets within the scheduling cycle; Formulas (14) and (15) limit the minimum start and stop time of conventional generator sets; Formulas (16) and (17) limit the active and reactive output of conventional generator sets within a certain range; Formula (18) constrains the active output adjustment rate of conventional generator sets; Formulas (19) and (20) constrain the upper and lower limits of the active and reactive output of renewable energy generator sets.

[0127]

[0128] in, is the maximum number of starts and stops of conventional generator set g during the dispatch cycle; is the minimum start time of the conventional generator set g; is the minimum shutdown time of the conventional generator set g; Q g,t is the reactive power output of the conventional generator set g during period t; P g,max and P g,min are respectively the upper and lower limits of active output of conventional generator set g; Q g,max and Q g,min are the upper and lower limits of reactive power output of conventional generator set g; R g,max and R g,min are the upper and lower limits of the output adjustment of the conventional generator set g; Q r,t is the reactive power output of the new energy generator r in period t; is the power factor angle; Assemble for new energy generators; It is a collection of conventional generator sets; g,t is the operating state of the conventional generator set during the period of time g to t; r,t is the output of the new energy generator r in period t; P r,t,max It is the maximum output that the new energy generator set r can actually generate during period t.

[0129] 2) Grid structure constraints

[0130] The grid structure constraints limit the active and reactive power transmitted by the lines and the power balance of the active and reactive power at the nodes, as well as the adjustment range of the node voltage amplitude and phase angle, thereby ensuring the safe and stable dispatching of the power grid.

[0131] Formula (21) and Formula (22) are line flow constraints. The active power and reactive power transmitted by the line are jointly determined by the node voltage and line admittance. Formula (23) is the node active power balance constraint. The active power injected into the node by the generator set and the line is dynamically balanced with the power load consumption such as the electric heat pump and the active power output of the line in each time period. Formula (24) is the node reactive power balance constraint. The reactive power injected into the node by the generator set, the line and the reactive compensation equipment is dynamically balanced with the power load consumption and the reactive power output of the line in each time period. Formula (25) is the node reactive compensation constraint. The reactive power injected into the node by the reactive compensation equipment is related to the node voltage amplitude. Formula (26) and Formulas (27)-(28) respectively constrain the adjustment range of the line transmission capacity and the node voltage amplitude phase angle to ensure the safe and stable operation of the power grid.

[0132]

[0133] Among them, P ij,t , Q ij,t are the active power and reactive power of branch ij at time t respectively; V i,t 、V j,t are the voltage amplitudes of nodes i and j at time t respectively; θ i,t ,θ j,t are the voltage phase angles of node i and node j at time t; g ij +jb ij is the branch admittance of branch ij; G(i) represents the set of conventional generators connected to node i; R(i) represents the set of new energy generators connected to node i; B(i) represents the set of electric heat pumps connected to node i; Br(i) represents the set of lines connected to node i; P d,i,t , Q d,i,t They represent the active and reactive load requirements of node i in period t respectively; P g,t is the active output of generator set g during period t; Q g,t is the reactive power output of generator set g during period t; Q sh,i,t P is the charging power of the parallel-connected ground admittance of node i in period t; ij,max is the upper limit of the transmission capacity of line ij; V max 、V min is the upper and lower limits of the node voltage amplitude; θ max ,θ min are the upper and lower limits of the node voltage phase angle.

[0134] 3) Constraints of equivalent energy storage model

[0135] The equivalent energy storage model constraint uses the equivalent energy storage model with time-varying parameters to equalize the dynamic model constraint of the heat network, and integrates the constraints of the electric-thermal coupling equipment to make full use of the virtual energy storage characteristics of the heat network thermal energy transmission and tap the flexible response capability of the heterogeneous energy load of the heat network. This has been described in detail in Part (II). So far, the equivalent optimization scheduling model of the electric-thermal coupling system has been formed.

[0136] Example 3

[0137] like Figure 7 As shown, the present invention also discloses a modeling system for an equivalent optimization scheduling model of an electric-thermal coupling system, comprising:

[0138] The first construction module is used to construct an equivalent energy storage model; the equivalent energy storage model is divided into a scheduling period layer and a sub-period layer in terms of time sequence, the scheduling period time scale is consistent with the heat load time scale, and the sub-period time scale is consistent with the electric load time scale;

[0139] A design module is used to design equivalent energy storage parameters; a mathematical model of the equivalent energy storage model is constructed according to the equivalent energy storage model and the equivalent energy storage parameters;

[0140] The second construction module is used to construct the objective function and constraint conditions of the equivalent optimization scheduling model of the electrothermal coupling system to form the equivalent optimization scheduling model of the electrothermal coupling system; the constraint conditions include the output constraint of the generator set, the grid constraint and the equivalent energy storage model constraint; the mathematical model of the equivalent energy storage model constitutes the equivalent energy storage model constraint.

[0141] 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 modeling method for an equivalent optimization scheduling model of an electric-thermal coupling system, characterized in that: include: Construct an equivalent energy storage model; The equivalent energy storage model is divided into a scheduling period layer and a sub-period layer in terms of time series. The scheduling period time scale is consistent with the heat load time scale, and the sub-period time scale is consistent with the electric load time scale. Design equivalent energy storage parameters; Constructing a mathematical model of an equivalent energy storage model according to the equivalent energy storage model and the equivalent energy storage parameters; Construct the objective function and constraint conditions of the equivalent optimization scheduling model of the electrothermal coupling system to form the equivalent optimization scheduling model of the electrothermal coupling system; The constraints include generator set output constraints, power grid constraints and equivalent energy storage model constraints; The mathematical model of the equivalent energy storage model constitutes the equivalent energy storage model constraint.

2. The modeling method of the equivalent optimization scheduling model of the electric-thermal coupling system according to claim 1 is characterized in that: The scheduling period layer reflects the charging and discharging power and energy state transfer of each scheduling period of equivalent energy storage; The number of scheduling periods preset in the scheduling period layer is consistent with the number of heat load periods; The energy state of the current scheduling period is obtained after charging and discharging to obtain the energy state of the next scheduling period. The charging and discharging power corresponding to the current scheduling period is the accumulation of the charging and discharging power of each sub-period; The sub-period layer reflects the charge and discharge power and energy state transfer of several sub-periods within a certain scheduling period; The energy state of the current sub-period is obtained after charging and discharging to obtain the energy state of the next sub-period.

3. The modeling method of the equivalent optimization scheduling model of the electric-thermal coupling system according to claim 1 is characterized in that: The equivalent energy storage parameters include the upper capacity limit, the lower capacity limit, the heat storage efficiency and the heat release efficiency of each scheduling period.

4. The modeling method of the equivalent optimization scheduling model of the electric-thermal coupling system according to claim 1 is characterized in that: The mathematical model of the equivalent energy storage model is shown in equations (1)-(9); Where: T is the grid dispatching period set; T HS is a set of equal-value energy storage scheduling periods; T S is the set of sub-periods that match the grid dispatch cycle within a single dispatch period of equivalent energy storage; P eb,t It represents the electric power consumed by the electric heat pump in period t; represents the upper limit of the power consumption of the electric heat pump in period t, Indicates the lower limit of the power consumption of the electric heat pump in time period t; It represents the heat load required by the heat user in period t; and It represents the upper and lower limits of the heat load of the heat user in period t; u h Indicates the uth h Hot users; represents the total number of heat users; B represents the set of electric heat pump equipment; Indicates the equivalent energy storage at t HS Time period t S The thermal storage power of the sub-period is related to P eb,t corresponding; Indicates the equivalent energy storage at t HS Time period t S The heat release power in the sub-period corresponds to the heat load; Indicates the equivalent energy storage at t HS Time period t S +1 sub-period of heat status; Indicates the equivalent energy storage at t HS Time period t S The heat content of the sub-period; η EB Indicates the electric heat conversion efficiency of the electric heat pump; and They represent the equivalent energy storage at t HS Heat storage efficiency and heat release efficiency of each time period; Indicates the equivalent energy storage at t HS The capacity limit of the time period; Indicates the equivalent energy storage at t HS The lower capacity limit of the time period.

5. The modeling method of the equivalent optimization scheduling model of the electric-thermal coupling system according to claim 4 is characterized in that: A single scheduling period is composed of T S The sub-periods are composed of sub-periods, the time scale of the sub-periods matches the time scale of the power grid dispatch, and the replacement heat network is coordinated with the power grid for dispatch; Then the equivalent energy storage sub-period and the power grid dispatching period t have the following corresponding relationship: T S (t HS -1)+t S =t(9)。 6. The modeling method of the equivalent optimization scheduling model of the electric-thermal coupling system according to claim 1 is characterized in that: The objective function of the equivalent optimization scheduling model of the electric-thermal coupling system is composed of the total power generation cost of the generator set and the penalty for wind and solar power abandonment, as shown in the following formula: in, and represents the start and stop status of the conventional generator set g during period t; z g,t is the operating status of the conventional generator set g during period t; P g,t and P r,t are the outputs of conventional generator set g and new energy generator set r in period t respectively; P r,t,max is the maximum output that the new energy generator r can actually generate during period t; γ on and γ off represents the start and stop price of conventional generator sets; a g , b g and c g are the cost coefficients of conventional generator sets; γ rc The penalty price for abandoning wind and solar power.

7. The modeling method of the equivalent optimization scheduling model of the electric-thermal coupling system according to claim 1 is characterized in that: The generator set output constraints are shown in equations (11)-(20); Formula (11) constrains the relationship between the start-stop state and the operating state of conventional generator sets; Formula (12) constrains conventional generator sets from being started and shut down in the same period; Formula (13) limits the maximum number of start-stop times of conventional generator sets within the scheduling cycle; Formulas (14) and (15) limit the minimum start-up and shutdown time of conventional generator sets; Formulas (16) and (17) limit the active and reactive output of conventional generator sets within a certain range; Formula (18) constrains the active output adjustment rate of conventional generator sets; Formulas (19) and (20) constrain the upper and lower limits of the active and reactive output of renewable energy generator sets; in, is the maximum number of starts and stops of conventional generator set g during the dispatch cycle; is the minimum start time of the conventional generator set g; is the minimum shutdown time of the conventional generator set g; Q g,t is the reactive power output of the conventional generator set g during period t; P g,max and P g,min are respectively the upper limits of active output of conventional generator set g; P g,min is the lower limit of active output of conventional generator set g; Q g,max is the upper limit of reactive power output of conventional generator set g; Q g,min is the lower limit of reactive power output of conventional generator set g; R g,max is the upper limit of the output adjustment of the conventional generator set g; R g,min is the lower limit of the output adjustment of the conventional generator set g; Q r,t is the reactive power output of the new energy generator r in period t; is the power factor angle; Assemble for new energy generators; It is a collection of conventional generator sets; g,t is the operating state of the conventional generator set during the period of time g to t; r,t is the output of the new energy generator r in period t; P r,t,max It is the maximum output that the new energy generator set r can actually generate during period t.

8. The modeling method of the equivalent optimization scheduling model of the electric-thermal coupling system according to claim 1 is characterized in that: The grid constraints are shown in equations (21)-(28); Formula (21) and Formula (22) are line flow constraints. The active power and reactive power transmitted by the line are jointly determined by the node voltage and line admittance. Formula (23) is the node active power balance constraint. The active power injected into the node by the generator set and the line is dynamically balanced with the power load consumption such as the electric heat pump and the active power output of the line in each time period. Formula (24) is the node reactive power balance constraint. The reactive power injected into the node by the generator set, the line and the reactive compensation equipment is dynamically balanced with the power load consumption and the reactive power output of the line in each time period. Formula (25) is the node reactive compensation constraint. The reactive power injected into the node by the reactive compensation equipment is related to the node voltage amplitude. Formula (26) and Formulas (27)-(28) respectively constrain the adjustment range of the line transmission capacity and the node voltage amplitude phase angle. Among them, P ij,t , Q ij,t are the active power and reactive power of branch ij at time t respectively; V i,t 、V j,t are the voltage amplitudes of nodes i and j at time t respectively; θ i,t ,θ j,t are the voltage phase angles of node i and node j at time t; g ij +jb ij is the branch admittance of branch ij; G(i) represents the set of conventional generators connected to node i; R(i) represents the set of new energy generators connected to node i; B(i) represents the set of electric heat pumps connected to node i; Br(i) represents the set of lines connected to node i; P d,i,t , Q d,i,t They represent the active and reactive load requirements of node i in period t respectively; P g,t is the active output of generator set g during period t; Q g,t is the reactive power output of generator set g during period t; Q sh,i,t P is the charging power of the parallel-connected ground admittance of node i in period t; ij,max is the upper limit of the transmission capacity of line ij; V max is the upper limit of the node voltage amplitude; V min is the lower limit of the node voltage amplitude; θ max is the upper limit of the node voltage phase angle; θ min is the lower limit of the node voltage phase angle; For branch collection; A collection of nodes.

9. A modeling system for an equivalent optimization scheduling model of an electric-thermal coupling system, characterized in that: include: The first building module is used to build an equivalent energy storage model; The equivalent energy storage model is divided into a scheduling period layer and a sub-period layer in terms of time series. The scheduling period time scale is consistent with the heat load time scale, and the sub-period time scale is consistent with the electric load time scale. Design module, used to design equivalent energy storage parameters; Constructing a mathematical model of an equivalent energy storage model according to the equivalent energy storage model and the equivalent energy storage parameters; The second construction module is used to construct the objective function and constraint conditions of the equivalent optimization scheduling model of the electrothermal coupling system to form the equivalent optimization scheduling model of the electrothermal coupling system; the constraint conditions include the output constraint of the generator set, the grid constraint and the equivalent energy storage model constraint; the mathematical model of the equivalent energy storage model constitutes the equivalent energy storage model constraint.

10. A computer device, characterized in that: The method comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the modeling method of the equivalent optimization scheduling model of the electrothermal coupling system as claimed in any one of claims 1 to 8 when executing the computer program.

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