Low-carbon economic heat supply method based on mobile heat storage vehicle and flexible heat supply as required

Abstract

The invention discloses a low-carbon economic heat supply method based on a mobile heat storage vehicle and flexible heat supply as required, which comprises the following steps: a mobile heat supply system is additionally provided with a waste heat recovery device, an electricity-to-heat device and a fixed heat storage device for system transformation according to waste heat resources, valley electricity resources and green electricity resources in an upstream available resource center; establishing an upper-layer device optimal configuration model by taking the minimum investment and installation cost and the highest resource utilization rate as targets; a dynamic operation model of the mobile heat storage vehicles is established, and the mobile heat storage vehicles and the upstream can utilize the carbon emission reduced after the resource center participates in heat supply cooperative scheduling; the mobile heat supply dispatching center receives the heat energy requirements of different types of heat users in the downstream heat user center in all time periods, and in combination with the resource supply quantity of all upstream time periods, schedulable mobile heat storage vehicle state information and the priorities of the different types of heat users, the optimal system operation economical efficiency and the maximum environmental protection benefit are taken as targets. And establishing a lower-layer system optimization scheduling model.

Description

TECHNICAL FIELD

[0001] The present application belongs to the technical field of intelligent heating, and particularly relates to a low-carbon economic heating method based on mobile heat storage vehicles and on-demand flexible heating. BACKGROUND

[0002] With the rapid development of urbanization, the centralized heating system gradually presents the phenomenon that the heat supply is less than the demand, causing the heat source to be strained, and some heat users are not configured with pipe network heating, and the heat use is intermittent, flexible and volatile. For example, industrial heat users such as distilleries and pharmaceutical factories have low requirements on steam quality, and use small amount of heat and intermittent heat; shopping malls, hotels and other non-continuous heat demand scenarios, as well as communities without centralized heating, rural areas and construction sites, temporary scenarios such as exhibitions, and the like, solving the heat demand of these scenarios is also crucial, but laying pipes requires a large amount of time and labor costs, and some remote places are difficult to connect to the pipeline, resulting in limited coverage, and the pipeline supply also lacks flexibility.

[0003] At present, in order to solve the heat demand problem of the above-mentioned heat users, make up for the lack of pipeline heating, the mobile heat storage heating mode is gradually applied to some enterprises and users, which can store, transport and release heat energy through mobile heat storage vehicles without laying pipes, and can improve the flexibility of heating and meet the heat demand. However, how to apply the mobile heat storage heating mode, store low-carbon economic heat energy, plan the transportation path and meet the heat demand of different types of heat users at different times, there are problems such as optimization of equipment configuration of source-side resources, combination and scheduling of energy modes, path planning, scheduling and distribution of mobile heat storage vehicles.

[0004] Based on the above technical problems, a new low-carbon economic heating method based on mobile heat storage vehicles and on-demand flexible heating needs to be designed. SUMMARY

[0005] The technical problem to be solved by the present application is to overcome the shortcomings of the prior art and provide a low-carbon economic heat supply method based on mobile heat storage vehicles and on-demand flexible heat supply, which can utilize low-price / clean energy in a targeted manner, realize energy cascade utilization through a combination of waste heat recovery, electric heat conversion and fixed heat storage devices, greatly reduce heat supply energy consumption costs, reduce dependence on traditional fossil energy, reduce carbon emissions from the source, and optimize the device optimization configuration with the goals of minimum investment cost and maximum resource utilization, taking into account economy and efficiency, and improving the economic rationality of device optimization configuration; and establish a lower system optimization scheduling model to develop a combination of mobile heat storage vehicle quantity, specification, path scheme and resource utilization of upstream available resource center for mobile heat storage vehicle operation station scheduling; it can realize global collaboration of vehicle quantity, specification, path and resource combination, ensure the heat reliability of high-priority users, reduce invalid transportation and resource waste, dynamically adjust resource combination, and maximize economic and environmental benefits.

[0006] To solve the above technical problems, the technical solution of the present application is:

[0007] The present application provides a low-carbon economic heat supply method based on mobile heat storage vehicles and on-demand flexible heat supply, which comprises:

[0008] S1, the mobile heat supply scheduling center establishes a resource transaction cooperation agreement with the upstream available resource center, leases mobile heat storage vehicles schedulable by the mobile heat storage vehicle operation station, and establishes a heat charging agreement with the downstream heat user center, connects the upstream and downstream by using the mobile heat storage vehicles within the preset scheduling area, and forms a mobile heat supply system for heat energy storage, transportation and release;

[0009] S2, the mobile heat supply system adds waste heat recovery devices, electric heat conversion devices and fixed heat storage devices according to the waste heat resources, valley electricity resources and green electricity resources in the upstream available resource center to obtain and store low-price heat sources, and establishes an upper device optimization configuration model with the goals of minimum installation cost and maximum resource utilization, to obtain the optimal site, quantity and model parameter scheme of each type of device;

[0010] S3, a dynamic operation model of the mobile heat storage vehicle is established, and the amount of carbon emissions reduced after the mobile heat storage vehicle and the upstream available resource center participate in the heat supply collaborative scheduling is quantified;

[0011] S4, the mobile heat supply scheduling center receives the heat energy demand of different types of heat users in each period in the downstream heat user center, combines the resource supply amount of each period in the upstream available resource center, the state information of the schedulable mobile heat storage vehicle, and the priority of different types of heat users, establishes a lower system optimization scheduling model with the goal of optimizing the system operation economy and maximizing the environmental protection benefit, and formulates the number, specification, path scheme of the schedulable mobile heat storage vehicle of the mobile heat storage vehicle operation station and the resource combination scheme using the upstream available resource center.

[0012] Further, in S1, the mobile heat supply scheduling center establishes a heat charging agreement with the downstream heat user center by establishing a resource transaction cooperation agreement with the upstream available resource center, leasing the schedulable mobile heat storage vehicle of the mobile heat storage vehicle operation station, and including:

[0013] The mobile heat supply scheduling center establishes a resource transaction cooperation agreement with each industrial waste heat supplier, green electricity supplier and power grid in the upstream available resource center according to the historical industrial waste heat data, green electricity output data and power grid price data of the upstream available resource center, combines the existing resource transaction market, and agrees on the resource transaction capacity and the corresponding price;

[0014] The mobile heat supply scheduling center establishes a leasing agreement with the mobile heat storage vehicle operation station according to the heat energy type, heat energy amount and heat supply capacity of the heat source required by the downstream heat user center in the preset scheduling area, and agrees on the leasing price of the mobile heat storage vehicle of different specifications in different periods;

[0015] The mobile heat supply scheduling center establishes a heat charging agreement with the downstream heat user center according to the original heat charging price of the heat user, and agrees on the heat charging price or the period charging price;

[0016] In addition, the mobile heat supply scheduling center can also apply for a carbon reduction benefit subsidy for using waste heat resources and green electricity resources to the government.

[0017] Further, the industrial waste heat supplier includes a steel plant, a chemical plant and a coal-fired power plant within the preset scheduling area; the green electricity supplier includes photovoltaic power generation, wind power generation and biomass power generation; the heat users of the downstream heat user center include enterprise users, commercial users and residential users, and the heat energy types required by the heat users include steam and hot water;

[0018] The mobile heat supply scheduling center automatically triggers the transaction execution with the upstream available resource center, the mobile heat storage vehicle operation station and the downstream heat user center through the blockchain smart contract;

[0019] And, when the mobile heat supply scheduling center trades with the upstream available resource center, the mobile heat storage vehicle operation station and the downstream heat user center, the mobile heat supply scheduling center is taken as the leader, and the upstream available resource center, the mobile heat storage vehicle operation station and the downstream heat user center are taken as the followers, a master-slave game model is established, which includes game parties, game strategy space and benefit / cost function, in the game process, the transaction strategies between the leader and the followers influence each other, and the master-slave game model is solved to obtain the game equilibrium solution, i.e. the final transaction information of each party.

[0020] Further, in S2, the mobile heat supply system adds waste heat recovery devices, electric heat conversion devices and fixed heat storage devices according to the waste heat resources, valley electricity resources and green electricity resources in the upstream available resource center to obtain and store low-price heat sources through system modification, including:

[0021] The mobile heat supply system adds waste heat recovery devices and fixed heat storage devices according to the waste heat resources, valley electricity resources and green electricity resources in the upstream available resource center to recover waste heat resources and store excess heat, considering the location of waste heat emission sources in the industrial waste heat supply side.

[0022] The electric heat conversion devices and fixed heat storage devices are added to convert valley electricity resources and green electricity resources into heat energy and store excess heat energy, considering the location of green electricity grid points and valley electricity grid points in the preset scheduling area.

[0023] The fixed heat storage devices are added to store heat energy exceeding the demand, considering the location of heat-using equipment in the downstream heat user center.

[0024] Further, in S2, an upper device optimization configuration model is established to minimize the investment and installation cost and maximize the resource utilization rate, which is represented as:

[0025]

[0026] f1 is the investment and installation cost target; C cap,i is the unit capacity purchase cost of the i-th device; C ins,i is the unit capacity installation cost of the i-th device; λ i is the total capacity of the i-th device; C land,i is the unit land cost of the i-th device; β i is the land area of the i-th device; n is the device type, including waste heat recovery devices, electric heat conversion devices and fixed heat storage devices.

[0027] max f2=w1η h +w2η e +w3η s ;

[0028] f2 is a resource utilization rate target; η h , η e , η s are waste heat resource utilization rate, electric resource utilization rate, and heat storage resource utilization rate, respectively; w1, w2, and w3 are weight coefficients corresponding to the respective resource utilization rates;

[0029] The constraint conditions of the upper device optimization configuration model include waste heat recovery device capacity constraints, electric heat conversion device power constraints, fixed heat storage device capacity constraints, and site selection distance constraints.

[0030] Further, in S3, a dynamic operation model of the mobile heat storage vehicle is established, including:

[0031] In the time dimension, the time distribution law of the mobile heat storage vehicle is reflected in the heat energy loading and storage, vehicle driving, and heat energy release processes.

[0032] The heat energy loading and storage time is represented as:

[0033]

[0034] T load is the heat energy loading and storage time; Q cap is the heat storage capacity of the mobile heat storage vehicle; P source is the power output of the upstream available resource center; the heat energy loading and storage time also needs to match the time window of the heat source supply in the upstream available resource center, including the output time distribution of industrial waste heat, the available time period of green electricity and valley electricity;

[0035] The vehicle driving time is represented as:

[0036]

[0037] T trans is the vehicle driving time; D is the total spatial distance from the heat source point in the upstream available resource center to the heat user point in the downstream heat user center; v is the average driving speed; and a is a correction parameter considering road congestion, driving restrictions, and actual factors;

[0038] The heat energy release time is represented as:

[0039] T unload = Q deliver / P user ;

[0040] T unload is the heat energy release time; Q deliver is the heat required for the mobile heat storage vehicle to release; and P userThe rate of heat release; the heat energy release time also needs to match the heat use period of the heat user in the downstream heat user center;

[0041] In the spatial dimension, the mobile heat storage vehicle operation includes storing heat energy in the upstream available resource center, releasing heat energy in the downstream heat user center, and driving within the preset scheduling area range; the upstream available resource center and the downstream heat user center are defined as heat storage and release nodes, and the operation of the mobile heat storage vehicle is represented as:

[0042]

[0043] The state of the mobile heat storage vehicle; The mobile heat storage vehicle z from node a to node b at time t; R hds The set of heat storage and release nodes; Z mhsv The set of mobile heat storage vehicles; T is the set of scheduling times;

[0044] The heat storage and release characteristics of the mobile heat storage vehicle are represented as:

[0045]

[0046] S mhsv,t , S mhsv,t-1 The remaining heat storage capacity of the mobile heat storage vehicle at time t and time t-1 respectively; P mhsv,t,in , P mhsv,t,out The heat storage power and heat release power of the mobile heat storage vehicle at time t respectively; η mhsv,in , η mhsv,out The heat storage and release efficiency of the mobile heat storage vehicle; h mhsv,t The heat dissipation coefficient of the mobile heat storage vehicle; A mhsv The heat storage and release surface area of the mobile heat storage vehicle; T mhsv,t , T mhsv,en,t The heat energy temperature and ambient temperature of the mobile heat storage vehicle at time t respectively; Δt is the scheduling time interval.

[0047] Further, in S3, the carbon emission reduction amount after the mobile heat storage vehicle and the upstream available resource center participate in the collaborative scheduling of heat supply is quantified, including:

[0048] The waste heat resources and green electricity resources of the upstream available resource center are directly or indirectly used to provide heat energy for the mobile heat storage vehicle, and low-carbon resources or zero-carbon resources are used to replace traditional fossil energy, thereby reducing the carbon emissions of heat supply, which is represented as:

[0049]

[0050] The reduced carbon emission amount; The carbon emission coefficient; ηiwh ηr, ηe ge respectively are the weight coefficient of residual heat resource carbon reduction amount and green electricity resource carbon reduction amount; P iwh,t P ge,t respectively are the heat energy provided by the residual heat resource and the green electricity resource directly or indirectly for the mobile heat storage vehicle at t moment.

[0051] Further, in the S4, the priority setting of different types of heat users includes: setting the priority of heat users with daily heat consumption greater than a first threshold value as the highest, defined as high-quality heat users; setting the priority of heat users with daily heat consumption less than the first threshold value and greater than a second threshold value as medium, defined as medium heat users; setting the priority of heat users with daily heat consumption less than the second threshold value as low, defined as low-level heat users; wherein the first threshold value is greater than the second threshold value.

[0052] Further, after setting the priority of different types of heat users, it further includes: after the mobile heat supply dispatching center receives the heat energy demand of different types of heat users in each period in the downstream heat user center, if there is heat energy demand of high-quality heat users in the period, the mobile heat storage vehicle is preferentially allocated to meet the heat energy demand, and the heat energy demand of the remaining medium heat users and low-level heat users is set to a to-be-allocated state, and the heat energy demand is gradually met according to the state information of each mobile heat storage vehicle and the upstream resource supply margin.

[0053] Further, in the S4, a lower system optimization scheduling model is established to maximize the system operation economy and environmental benefits, which is represented as:

[0054]

[0055] F1 is the system operation economy target; P h,t is the heat energy supplied to the downstream heat user center at t period; ε h is the heat energy selling price supplied to the downstream heat user center; P iwh,buy,t is the residual heat amount purchased from the upstream available resource center; ε iwh is the residual heat price purchased from the upstream available resource center; P ge,buy,t is the green electricity amount purchased from the upstream available resource center; ε ge is the green electricity price purchased from the upstream available resource center; P e,buy,t is the valley electricity amount purchased from the upstream available resource center at t moment; ε e is the valley electricity price purchased from the upstream available resource center; C eh,t is the electric heat conversion device operation cost at t moment; C fhs,t is the fixed heat storage device operation cost at t moment; C mhsv,r,t is the rental cost of the mobile heat storage vehicle at t moment; C mhsv,o,tF1 is the operation cost of the mobile heat storage vehicle at time t when the heat energy is loaded and stored, the vehicle is running and the heat energy is released; F2 is the environmental protection benefit target; delta iwh , delta ge are the carbon reduction benefit subsidy unit prices of the waste heat resources and green electricity resources respectively;

[0056] The constraint conditions of the lower system optimization scheduling model include: heat energy balance constraint, mobile heat storage vehicle driving path constraint, mobile heat storage vehicle storage and heat power constraint, mobile heat storage vehicle capacity constraint, upstream available resource center various resource constraint, electric heat conversion device operation constraint, fixed heat storage device operation constraint and downstream heat user center heat energy demand constraint.

[0057] The beneficial effects of the present application are:

[0058] (1) The mobile heat supply scheduling center of the present application connects the upstream and downstream through the mobile heat storage vehicle in the preset scheduling area range by establishing a resource transaction cooperation agreement with the upstream available resource center, scheduling the mobile heat storage vehicle in the mobile heat storage vehicle operation station for rent and establishing a heat charging agreement with the downstream heat user center, forming a mobile heat supply system of heat energy storage, transportation and release; the traditional heat supply fixed pipe network limit can be broken through the mobile heat storage vehicle, cross-regional heat energy allocation without pipe network connection can be realized, the problem of insufficient coverage of traditional centralized heat supply pipe network can be solved, the heat supply service range can be expanded, and a flexible market operation framework can be constructed by adopting a protocolized cooperation mode;

[0059] (2) The mobile heat supply system of the present application adds a waste heat recovery device, an electric heat conversion device and a fixed heat storage device to obtain and store low-cost heat sources according to the waste heat resources, valley electricity resources and green electricity resources in the upstream available resource center, establishes an upper device optimization configuration model with the minimum investment installation cost and the highest resource utilization rate as the target, obtains the optimal site, quantity and model parameter scheme of each type of device, and can utilize low-cost / clean energy, realize energy cascade utilization through the combination of waste heat recovery, electric heat conversion and fixed heat storage devices, greatly reduce the heat supply energy consumption cost, reduce the dependence on traditional fossil energy, reduce carbon emissions from the source, and optimize with the minimum investment cost and the highest resource utilization rate, taking into account economy and efficiency, and improving the economic rationality of device optimization configuration;

[0060] (3) The present application establishes a dynamic operation model of the mobile heat storage vehicle and quantifies the reduced carbon emissions after the mobile heat storage vehicle and the upstream available resource center participate in the heat supply collaborative scheduling; the operation characteristics of the mobile heat storage vehicle in the heat energy storage, transportation and release process can be determined, and the carbon emission reduction amount can be quantified, which provides data support for system low-carbon operation and facilitates subsequent system operation optimization scheduling;

[0061] (4) The mobile heat supply scheduling center of the application receives the heat energy demands of different types of heat users in each period in the downstream heat user center, combines the resource supply amount of each period in the upstream available resource center, the state information of the schedulable mobile heat storage vehicle, and the priority of different types of heat users, establishes a lower system optimization scheduling model with the system operation economy optimization and environmental protection benefit maximization as the target, formulates the schedulable mobile heat storage vehicle quantity, specification, path scheme of the mobile heat storage vehicle operation site, and the resource combination scheme using the upstream available resource center; the global collaboration of the vehicle quantity, specification, path and resource combination can be realized, the heat use reliability of high-priority users is ensured, the invalid transportation and resource waste are reduced, the resource combination is dynamically adjusted, and the economy and environmental protection benefits are maximized.

[0062] Other features and advantages will be set forth in the descriptions that follow, and in part will be apparent from the description, or can be learned by practice of the application. The purposes and other advantages of the present application will be realized and attained by the structures particularly pointed out in the description and the appended drawings.

[0063] In order to make the above objectives, features and advantages of the present application more apparent, the following preferred embodiments are specifically described, and the accompanying drawings are referred to, and the detailed description is as follows. BRIEF DESCRIPTION OF DRAWINGS

[0064] In order to more clearly illustrate the specific embodiments of the present application or the technical solutions in the prior art, the following will briefly introduce the drawings needed to be used in the specific embodiments or the prior art description. Obviously, the drawings in the following description are some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained without creative labor.

[0065] Figure 1 Flow chart of the low-carbon economic heat supply method based on mobile heat storage vehicles and on-demand flexible heat supply of the present application;

[0066] Figure 2 Structure schematic diagram of the mobile heat supply system of the present application. DETAILED DESCRIPTION

[0067] In order to make the objectives, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the present application will be described clearly and completely with reference to the drawings. Obviously, the described embodiments are some embodiments of the present application, but not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the protection scope of the present application.

[0068] As Figure 1 , Figure 2As shown, the embodiment 1 provides a low-carbon economic heating method based on mobile heat storage vehicles and on-demand flexible heating, which comprises:

[0069] S1, the mobile heating dispatching center connects the upstream available resource center through a resource transaction cooperation agreement, leases the mobile heat storage vehicles that can be dispatched by the mobile heat storage vehicle operation station, and establishes a heat charging agreement with the downstream heat user center, connects the upstream and downstream by using the mobile heat storage vehicles within the preset dispatching area, and forms a mobile heating system for heat storage, transportation and release;

[0070] S2, the mobile heating system adds a waste heat recovery device, an electric heat conversion device and a fixed heat storage device according to the waste heat resources, valley electricity resources and green electricity resources in the upstream available resource center to obtain and store low-cost heat sources, and establishes an upper device optimization configuration model with the minimum installation cost and the highest resource utilization rate as the target to obtain the optimal site, quantity and model parameter scheme of each type of device;

[0071] S3, a dynamic operation model of the mobile heat storage vehicle is established, and the carbon emission reduction amount after the collaborative dispatching of the mobile heat storage vehicle and the upstream available resource center is quantified;

[0072] S4, the mobile heating dispatching center receives the heat energy demand of different types of heat users in each period in the downstream heat user center, combines the resource supply amount of the upstream available resource center in each period, the state information of the dispatchable mobile heat storage vehicle and the priority of different types of heat users, establishes a lower system optimization dispatching model with the optimal system operation economy and the maximum environmental protection benefit as the target, and formulates the number, specification, path scheme of the dispatchable mobile heat storage vehicle of the mobile heat storage vehicle operation station and the resource combination scheme of the upstream available resource center.

[0073] In actual application, after the number, specification, path scheme of the dispatchable mobile heat storage vehicle of the mobile heat storage vehicle operation station and the resource combination scheme of the upstream available resource center are formulated, it further comprises:

[0074] The mobile heating dispatching center goes to the upstream available resource center according to the path scheme through the dispatchable mobile heat storage vehicle, stores heat according to the resource combination scheme, and then transports to the corresponding downstream heat user. According to the heat utilization characteristics of the heat user, the related adjusting device of the mobile heat storage vehicle adjusts the pressure, temperature and flow parameters of heat energy release to meet the heat energy demand of the heat user in each period and match the heat utilization characteristics. The heat utilization characteristics of the heat user include the heat utilization period characteristics, the heat parameter demand characteristics and the heat load fluctuation characteristics.

[0075] For example, after reaching the downstream heat user, the pressure, temperature and flow of heat energy release are adjusted in real time through the adjusting device (such as pressure control valve, temperature regulator, flow metering pump) of the mobile heat storage vehicle:

[0076] Pressure regulation: adapt to the pressure-bearing capacity of the user's heating pipeline (such as the lower pressure-bearing capacity of the resident user pipeline, the release pressure needs to be reduced);

[0077] Temperature regulation: match the required heating temperature of the user (such as industrial users may need 150℃ high-temperature steam, while residential heating only needs 50-60℃ hot water);

[0078] Flow regulation: control the heating rate according to the heat demand changes of users at different times (such as increasing the flow during the daytime heat peak and reducing the flow during the night low).

[0079] The heat use characteristics of heat users refer to the inherent rules of different types of users in terms of heat use time, parameter demand, load fluctuation, etc., which directly determine the release parameters and scheduling strategies of mobile heat storage vehicles, including:

[0080] 1) Heat period characteristics

[0081] Residential users: show "double peak characteristics", that is, the morning (6:00-8:00) and evening (18:00-22:00) are the heat peaks, and the midday and early morning are the troughs;

[0082] Commercial users (such as shopping malls, office buildings): 9:00-21:00 on weekdays are the peaks, and may be extended on weekends;

[0083] Industrial users: mostly continuous production, with stable heat use period (such as 24 hours without interruption), but some industries (such as food processing) may have intermittent peaks.

[0084] 2) Heat parameter demand characteristics

[0085] Temperature demand: residential heating requires 50-60℃ hot water, industrial drying requires 100-200℃ hot air / steam, and agricultural greenhouse heating requires 30-40℃ warm water;

[0086] Pressure demand: industrial high-pressure production processes (such as chemical reactions) may require high-pressure steam (0.5-2MPa), while the pressure of residential heating pipelines is usually below 0.2MPa;

[0087] Flow stability: precision manufacturing (such as electronic component cleaning) is sensitive to flow fluctuations, requiring a flow deviation of no more than ±5%, while ordinary residential heating has higher tolerance to flow fluctuations.

[0088] 3) Heat load fluctuation characteristics

[0089] Short-term fluctuations: such as the instantaneous heat demand increase of commercial users due to sudden increase in customer flow;

[0090] Long-term fluctuation: such as seasonal variation (residential heating load in winter is 3-5 times of summer), holiday effect (residential heating load decreases during Spring Festival, commercial user load increases);

[0091] Emergency demand: some users (such as hospitals, data centers) may have sudden heating demand (such as temporary heating due to equipment failure), which requires rapid response capability.

[0092] It should be noted that the logical correlation between the upper device optimization configuration model and the lower system optimization scheduling model: the upper model (device optimization configuration) and the lower model (system optimization scheduling) are in a progressive relationship of "basic configuration" and "dynamic operation", and they are tightly coupled through "resource supply capacity" and "operation constraint conditions".

[0093] The location, number and model of the waste heat recovery device, the electric heat conversion device and the fixed heat storage device determined by the upper model directly determine the maximum heat source supply capacity of the upstream available resource center (such as the upper limit of waste heat recovery, electric heat conversion power, fixed heat storage capacity, etc.), which becomes the core constraint condition of "resource supply amount" in the lower model. The scheduling results of the lower model (such as the heat source utilization amount of each period and the heat storage and release of mobile heat storage vehicles) will react on the rationality of the configuration of the upper model.

[0094] The "minimum investment cost" of the upper model and the "optimal operation economy" of the lower model jointly serve the lowest total life cycle cost of the system; the "highest resource utilization rate" of the upper model and the "maximum environmental benefit" of the lower model synergistically promote the low-carbon goal, and the two goals are consistent but focus on different stages (the upper layer is long-term configuration, and the lower layer is short-term operation).

[0095] The logic of the iterative interaction solution technology of the double-layer model: the solution of the double-layer model needs to be realized through the cycle process of "upper layer configuration → lower layer scheduling → feedback correction → iteration convergence", and the specific steps are as follows:

[0096] 1) Initialize the upper model parameters to generate an initial configuration scheme

[0097] Based on the upstream resource potential (waste heat, valley electricity, green electricity distribution) and the total amount of downstream heat user demand, the upper model first gives an initial device configuration scheme (such as the number of waste heat recovery devices, fixed heat storage capacity, etc.), which is used as the input constraint of the lower model;

[0098] 2) The lower model solves the optimal scheduling result based on the upper configuration scheme

[0099] Under the constraints of the current upper layer configuration (such as the upper limit of heat source supply, fixed heat storage capacity), the lower model optimizes the scheduling scheme (number, path, charging and discharging plan) of the mobile heat storage vehicle and the resource combination scheme (the proportion of waste heat / valley electricity / green electricity) with the goal of economy and environmental protection;

[0100] Output key results: actual utilization rate of each device, operating cost, carbon emissions, supply-demand gap of mobile heat storage vehicles, etc.

[0101] 3) Feedback evaluation: revise upper-level configuration scheme based on lower-level results

[0102] Feedback lower-level scheduling results to upper-level model to evaluate the rationality of the current configuration scheme:

[0103] If the utilization rate of a certain type of device is too low (e.g., electric heat conversion device is idle for a long time), it indicates that the configuration is excessive, and the number or specification needs to be reduced;

[0104] If there is a shortage of heat source supply (e.g., fixed heat storage capacity is too small to fully utilize valley electricity), the configuration needs to be increased;

[0105] If the operating cost or carbon emissions far exceed the expectation, the device type needs to be adjusted (e.g., preferentially increase green electricity-related devices).

[0106] 4) Iterative convergence: repeat optimization until the termination condition is met

[0107] The upper-level model adjusts the device configuration parameters based on the feedback results, generates a new configuration scheme, and inputs it into the lower-level model to solve the scheduling results again;

[0108] When the change in the upper-level configuration scheme (e.g., device number, capacity) is less than the set threshold value, and the objective function value (cost, carbon emissions) of the lower-level scheduling results tends to be stable in two consecutive iterations, the model is considered to have converged, and the final optimal upper-level configuration and lower-level scheduling scheme are output;

[0109] 5) Key interactive variables

[0110] In the iterative process, the core interactive variables include: maximum supply capacity of upstream resources (from upper to lower), actual utilization rate of devices, and supply-demand gap (from lower to upper), which are the bridge connecting the two models.

[0111] In the S1, the mobile heat supply scheduling center establishes a resource trading cooperation agreement with the upstream available resource center, leases mobile heat storage vehicles that can be scheduled by the mobile heat storage vehicle operation station, and establishes a heat charging agreement with the downstream heat user center, including:

[0112] The mobile heat supply scheduling center establishes a resource trading cooperation agreement with each industrial waste heat supplier, green electricity supplier, and power grid in the upstream available resource center based on historical industrial waste heat data, green electricity output data, and power grid price data, and combines existing resource trading market conditions to agree on resource trading capacity and corresponding prices;

[0113] The mobile heat supply scheduling center establishes a leasing agreement with the mobile heat storage vehicle operation station according to the type, quantity and heat supply capacity of the heat energy required by the downstream heat user center in the preset scheduling region range, and agrees on the leasing price of the mobile heat storage vehicle of different specifications and in different time periods;

[0114] The mobile heat supply scheduling center establishes a heat charging agreement with the downstream heat user center according to the original heat price of the heat user, and agrees on the heat charging price or the package time period charging price;

[0115] In addition, the mobile heat supply scheduling center can also apply for a carbon reduction benefit subsidy for using waste heat resources and green electricity resources to the government.

[0116] In the embodiment, the industrial waste heat supplier includes a steel plant, a chemical plant and a coal-fired power plant in the preset scheduling region range; the green electricity supplier includes photovoltaic power generation, wind power generation and biomass power generation; the heat users of the downstream heat user center include enterprise users, commercial users and residential users, and the required heat energy types of the heat users include steam and hot water;

[0117] The mobile heat supply scheduling center automatically triggers the transaction execution with the upstream available resource center, the mobile heat storage vehicle operation station and the downstream heat user center through the blockchain smart contract;

[0118] In addition, when the mobile heat supply scheduling center trades with the upstream available resource center, the mobile heat storage vehicle operation station and the downstream heat user center, the mobile heat supply scheduling center is taken as the leader, and the upstream available resource center, the mobile heat storage vehicle operation station and the downstream heat user center are taken as the followers, a master-slave game model including game parties, game strategy space and benefit / cost function is established, in the game process, the transaction strategies between the leader and the followers influence each other, and the master-slave game model is solved to obtain the game equilibrium solution, i.e. the final transaction information of each party.

[0119] It should be noted that determining the master-slave game relationship includes:

[0120] The mobile heat supply scheduling center and the upstream available resource center: the mobile heat supply scheduling center as the demand side can to some extent propose transaction conditions to the upstream industrial waste heat supplier, green electricity supplier and power grid according to market conditions and its own demand, has a relatively dominant position, and can be the master; and the upstream available resource center responds according to its own cost, benefit and market competition, and is the slave;

[0121] The mobile heat supply scheduling center and the mobile heat storage vehicle operation station: the mobile heat supply scheduling center decides the leasing demand of the mobile heat storage vehicle according to the demand of the downstream heat user, has initiative and is the principal party in the leasing relationship; the mobile heat storage vehicle operation station decides according to the operation cost, vehicle idle condition and the like and is the subordinate party;

[0122] The mobile heat supply scheduling center and the downstream heat user center: the heat demand of the downstream heat user center is the guidance of the service of the mobile heat supply scheduling center, but the mobile heat supply scheduling center has professionalism and overall planning in the integration of resources and the provision of heat supply service, so the mobile heat supply scheduling center is the principal party and the downstream heat user center is the subordinate party, which accepts or feeds back the transaction information such as price according to the heat cost bearing capacity.

[0123] The economic target of the mobile heat supply scheduling center is to maximize the benefit of the heat sold to the downstream heat user minus the cost of purchasing various resources of the upstream available resource center and the cost of leasing the mobile heat storage vehicle;

[0124] The economic target of the downstream heat user center is to minimize the heat cost, the economic target of the upstream available resource center is to maximize the benefit of selling various resources, and the economic target of the mobile heat storage vehicle operation station is to maximize the vehicle leasing benefit.

[0125] The process of solving the principal and subordinate game model includes:

[0126] 1) The inverse induction method is used for solving. The optimal response strategy is solved under the given decision of the principal party, starting from the subordinate party according to the target function and constraint condition of each party;

[0127] 2) The upstream available resource center, the mobile heat storage vehicle operation station and the downstream heat user center respectively determine the optimal price and quantity response;

[0128] 3) The principal party (the mobile heat supply scheduling center) adjusts the decision (transaction price, resource acquisition quantity, vehicle leasing quantity and the like) on the basis of the response strategy of the subordinate party to maximize the target function of the principal party;

[0129] 4) Through continuous iteration, a stable state is reached, that is, the principal and subordinate parties cannot increase their own interests by changing the strategy on their own, at which time the game equilibrium is reached and the final transaction price, transaction capacity and the like are determined.

[0130] In the embodiment, in the S2, the mobile heat supply system adds a waste heat recovery device, an electric heat conversion device and a fixed heat storage device to obtain and store the low-price heat source according to the waste heat resource, the valley electricity resource and the green electricity resource in the upstream available resource center, including:

[0131] The mobile heat supply system selects sites in the industrial waste heat supply party according to the waste heat resources, valley electricity resources and green electricity resources in the upstream available resource center, adds waste heat recovery devices and fixed heat storage devices to recover waste heat resources and store excess heat;

[0132] The mobile heat supply system selects sites in the industrial waste heat supply party according to the waste heat resources, valley electricity resources and green electricity resources in the upstream available resource center, adds waste heat recovery devices and fixed heat storage devices to recover waste heat resources and store excess heat;

[0133] The mobile heat supply system selects sites in the industrial waste heat supply party according to the waste heat resources, valley electricity resources and green electricity resources in the upstream available resource center, adds waste heat recovery devices and fixed heat storage devices to recover waste heat resources and store excess heat.

[0134] In the embodiment, in S2, an upper device optimization configuration model is established with the minimum investment installation cost and the highest resource utilization rate as targets, and is represented as:

[0135]

[0136] f1 is the investment installation cost target; C cap,i is the unit capacity purchase cost of the i-th device; C ins,i is the unit capacity installation cost of the i-th device; λ i is the total capacity of the i-th device; C land,i is the unit land cost of the i-th device; β i is the land area of the i-th device; n is the device type, including waste heat recovery devices, electric heat conversion devices and fixed heat storage devices;

[0137] maxf2=w1η h +w2η e +w3η s ;

[0138] f2 is the resource utilization rate target; η h , η e , η s are the waste heat resource utilization rate, the electric resource utilization rate and the heat storage resource utilization rate respectively; w1, w2 and w3 are weight coefficients corresponding to the respective resource utilization rates;

[0139] It should be noted that the waste heat resource utilization rate = actual heat capture of the waste heat recovery device / total waste heat discharge of the upstream industry; the electric resource utilization rate = actual power consumption of the electric heat conversion device in the valley electricity and green electricity period / valley electricity and green electricity supplyable amount; and the heat storage resource utilization rate = actual heat storage amount of the fixed heat storage device / designed total capacity.

[0140] The constraint conditions of the upper device optimization configuration model include: waste heat recovery device capacity constraint, electric heat conversion device power constraint, fixed heat storage device capacity constraint and site selection distance constraint.

[0141] In the embodiment, the dynamic operation model of the mobile heat storage vehicle is established in the S3, including:

[0142] In the time dimension, the time distribution law of the mobile heat storage vehicle is reflected in the heat energy loading and storage, vehicle driving and heat energy release processes;

[0143] The heat energy loading and storage time required is represented as:

[0144]

[0145] T load is the heat energy loading and storage time; Q cap is the heat storage capacity of the mobile heat storage vehicle; P source is the power output of the upstream available resource center; the heat energy loading and storage time also needs to match the time window of the heat source supply in the upstream available resource center, including the output time distribution of industrial waste heat, the available time period of green electricity and valley electricity;

[0146] The vehicle driving time required is represented as:

[0147]

[0148] T trans is the vehicle driving time; D is the total spatial distance from the heat source point in the upstream available resource center to the heat user point in the downstream heat user center; v is the average driving speed; and a is a correction parameter considering road congestion, actual factors of traffic restrictions and the like;

[0149] The heat energy release time required is represented as:

[0150] T unload = Q deliver / P user ;

[0151] T unload is the heat energy release time; Q deliver is the heat required for the mobile heat storage vehicle to release; P user is the heat release rate; the heat energy release time also needs to match the heat use period of the heat user in the downstream heat user center;

[0152] In the spatial dimension, the operation of the mobile heat storage vehicle includes storing heat energy in the upstream available resource center, releasing heat energy in the downstream heat user center and driving in the preset dispatching area range; the upstream available resource center and the downstream heat user center are defined as heat storage and release nodes, and the operation of the mobile heat storage vehicle is represented as:

[0153]

[0154] For the state of the mobile heat storage vehicle; For the mobile heat storage vehicle z from node a to node b at time t; R hds For the heat storage and release node set; Z mhsv For the mobile heat storage vehicle set; T is the scheduling time set;

[0155] The heat storage and release characteristics of the mobile heat storage vehicle are represented as:

[0156]

[0157] S mhsv,t , S mhsv,t-1 Residual heat storage of the mobile heat storage vehicle at time t and time t-1 respectively; P mhsv,t,in , P mhsv,t,out Heat storage power and heat release power of the mobile heat storage vehicle at time t respectively; η mhsv,in , η mhsv,out Heat storage and release efficiency of the mobile heat storage vehicle respectively; h mhsv,t Heat dissipation coefficient of the mobile heat storage vehicle; A mhsv Heat storage and release surface area of the mobile heat storage vehicle; T mhsv,t , T mhsv,en,t Heat energy temperature and ambient temperature of the mobile heat storage vehicle at time t respectively; Δt is the scheduling time interval.

[0158] In this embodiment, the S3 quantifies the reduced carbon emissions after the mobile heat storage vehicle and the upstream available resource center participate in the heat supply collaborative scheduling, including:

[0159] The waste heat resources and green electricity resources of the upstream available resource center are directly or indirectly used to provide heat energy for the mobile heat storage vehicle, traditional fossil energy is replaced by low-carbon resources or zero-carbon resources, and the heat supply carbon emissions are reduced, which is represented as:

[0160]

[0161] Reduced carbon emissions; Carbon emission coefficient; η iwh , η ge Waste heat resource carbon reduction weight coefficient and green electricity resource carbon reduction weight coefficient respectively; P iwh,t , P ge,t Heat energy provided by waste heat resources and green electricity resources for the mobile heat storage vehicle at time t directly or indirectly.

[0162] It should be noted that the carbon emissions of traditional fossil energy heating (such as gas boilers and coal-fired units) mainly come from fuel combustion (direct emissions) and energy production and transportation (indirect emissions); and the waste heat of the upstream resource center and green electricity belong to low-carbon / zero-carbon resources (waste heat has no additional emissions, and the carbon emissions during the production of green electricity are close to zero).

[0163] The role of the mobile heat storage vehicle is to serve as an "energy carrier" to efficiently transfer the energy of the upstream low-carbon / zero-carbon resources to the heating terminal, replacing the consumption of traditional fossil energy, thereby cutting off the carbon emission chain of fossil energy.

[0164] In the S4, the priority settings of different types of heat users in this embodiment include: setting the priority of heat users with daily heat consumption greater than a first threshold value as the highest, defined as high-quality heat users; setting the priority of heat users with daily heat consumption less than the first threshold value and greater than a second threshold value as medium, defined as medium heat users; setting the priority of heat users with daily heat consumption less than the second threshold value as low, defined as low-level heat users; wherein the first threshold value is greater than the second threshold value.

[0165] It should be noted that the definition of high-quality heat users includes:

[0166] Criteria: daily heat consumption > first threshold value;

[0167] Features: large and stable heat demand, core service object of the heating system, significant contribution to system load (such as large industrial enterprises, densely populated comprehensive communities, etc.);

[0168] Priority logic: the interruption of heat supply to this type of user may cause significant economic losses or social impact, so priority should be given to ensure supply in times of resource shortage;

[0169] The definition of medium heat users includes:

[0170] Criteria: second threshold value < daily heat consumption ≤ first threshold value;

[0171] Features: moderate heat demand, certain support to system load (such as small and medium-sized commercial buildings, ordinary residential areas, etc.);

[0172] Priority logic: after meeting the needs of high-quality users, their basic heat demand should be stably guaranteed, and appropriate adjustments can be made according to actual load conditions;

[0173] The definition of low-level heat users includes:

[0174] Criteria: daily heat consumption ≤ second threshold value;

[0175] Features: small heat demand, limited impact on overall system load (such as small shops, scattered residential users, etc.).

[0176] Priority logic: In the case of resource shortage, the supply can be appropriately limited or adjusted (such as temporarily reducing the temperature and shortening the supply time) to prioritize high-priority users.

[0177] The values of the thresholds (first threshold, second threshold) are not fixed and need to be dynamically adjusted in combination with the actual situation of the system. The main reference factors include:

[0178] System carrying capacity: If the system energy supply is sufficient, the threshold can be appropriately relaxed; if the energy supply is tight (such as winter peak, equipment maintenance period), the threshold needs to be tightened to focus on core users;

[0179] User type attribute: In addition to heat demand, the social attributes of users (such as public service institutions) can be added (even if the heat does not reach the first threshold, the priority can be increased.

[0180] In the embodiment, after setting the priorities of different types of heat users, the mobile heat supply dispatching center receives the heat energy demands of different types of heat users in each period in the downstream heat user center, and if there is a heat energy demand for high-quality heat users in the period, the mobile heat storage vehicle is preferentially allocated to meet the heat energy demand, and the heat energy demands of the remaining medium heat users and low-level heat users are set to a to-be-allocated state, and the heat energy demands are sequentially met according to the state information of each mobile heat storage vehicle and the remaining amount of upstream resource supply.

[0181] In the embodiment, in S4, a lower system optimization scheduling model is established to maximize the system operation economy and environmental benefits, which is represented as:

[0182]

[0183] F1 is the system operation economy target; P h,t is the heat energy supplied to the downstream heat user center at t period; ε h is the heat energy selling price supplied to the downstream heat user center; P iwh,buy,t is the surplus heat quantity purchased from the upstream available resource center; ε iwh is the surplus heat price purchased from the upstream available resource center; P ge,buy,t is the green electricity quantity purchased from the upstream available resource center; ε ge is the green electricity price purchased from the upstream available resource center; P e,buy,t is the valley electricity quantity purchased from the upstream available resource center at t moment; ε e is the valley electricity price purchased from the upstream available resource center; C eh,t is the electric heat conversion device operation cost at t moment; C fhs,t is the fixed heat storage device operation cost at t moment; C mhsv,r,t is the rental cost of the mobile heat storage vehicle at t moment; C mhsv,o,tis the operating cost of the mobile thermal storage vehicle for heat energy loading and storage, vehicle driving, and heat energy release at time t; F2 is the environmental benefit target; δ iwh , δ ge They are the unit price of carbon reduction benefit subsidies for utilizing waste heat resources and the unit price of carbon reduction benefit subsidies for utilizing green electricity resources;

[0184] The constraints of the lower-level system optimization scheduling model include: thermal energy balance constraints, mobile thermal storage vehicle driving path constraints, mobile thermal storage vehicle storage and release power constraints, mobile thermal storage vehicle capacity constraints, various resource constraints of upstream available resource centers, power-to-heat device operation constraints, fixed thermal storage device operation constraints, and thermal energy demand constraints of downstream thermal user centers.

[0185] It should be noted that the operating costs of a mobile heat storage vehicle during heat energy loading and storage, vehicle driving and heat energy release are related to its dynamic operating characteristics in the time dimension and space dimension.

[0186] In actual applications, the process of using the particle swarm optimization algorithm to solve the optimization scheduling model of the lower-level system is as follows:

[0187] 1) Setting the operation parameters, including the number of iterations, the basic parameters of the upstream available resource center, the mobile heat storage vehicle operation station, and the downstream heat user center in the mobile heating system;

[0188] 2) Initialize the positions and velocities of individual particles in the population, and set the decision variables as the number, specifications, and routing of mobile thermal storage vehicles that can be dispatched by the mobile thermal storage vehicle operation station, as well as the resource combination plan that utilizes the upstream available resource centers. The resource combination plan is the operating output combination of various resources in each time period. For example, the basic plan of "waste heat + valley electricity" is given priority, and green electricity is gradually replaced when the cost of green electricity becomes competitive, ultimately maximizing the economic and environmental benefits of the mobile thermal storage system.

[0189] 3) Set the heat energy demand of different types of heat users in the downstream heat user center at different time periods, the resource supply of the upstream available resource center at different time periods, the status information of the dispatchable mobile heat storage vehicles, and the priority parameter information of different types of heat users. For each particle, calculate the system operation economic target and environmental benefit objective function value based on the set decision variables, and record the optimal and global optimal values ​​of each particle.

[0190] 4) Update the particle position and velocity, and iteratively calculate the objective function value until the number of iterations reaches the maximum value, or the change in the global optimal objective function value is less than the threshold, then stop the iteration and output the scheduling plan corresponding to the global optimal.

[0191] In several embodiments provided in the present application, it should be understood that the disclosed system and method can also be implemented by other manners. The system embodiments described above are only illustrative, for example, the flowcharts and block diagrams in the drawings show the possible implementation architecture, function and operation of the system, method and computer program product according to the embodiments of the present application. In this regard, each block in the flowchart or block diagram can represent a module, a program segment or a part of code, which includes one or more executable instructions for implementing the specified logic function. It should also be noted that in some alternative implementations, the functions noted in the blocks can occur in different order from that shown in the drawings. For example, two consecutive blocks can actually be executed substantially in parallel, and they can also be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagram and / or flowchart, and the combination of blocks in the block diagram and / or flowchart, can be implemented by a dedicated hardware-based system for performing the specified functions or actions, or can be implemented by a combination of dedicated hardware and computer instructions.

[0192] In addition, each functional module in the embodiments of the present application can be integrated together to form an independent part, or each module can exist independently, or two or more modules can be integrated to form an independent part. When the functions are implemented in the form of software functional modules and sold or used as an independent product, they can be stored in a computer readable storage medium. Based on this understanding, the technical solutions of the present application can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the embodiments of the method of the present application. The aforementioned storage medium includes various media that can store program codes, such as a U disk, a mobile hard disk, a read-only memory, a random access memory, a magnetic disk or an optical disk.

[0193] Based on the above ideal embodiments according to the present application, through the above description, relevant personnel can make various changes and modifications without deviating from the scope of the technical idea of the present application. The technical scope of the present application is not limited to the content in the specification, and must be determined by the scope of the claims.

Claims

1. A low-carbon economic heating method based on mobile heat storage vehicles and on-demand flexible heating, characterized in that: It includes: S1. The mobile heating dispatching center establishes a resource trading cooperation agreement with the upstream available resource center, leases mobile thermal storage vehicles that can be dispatched at the operation station, and establishes a heat usage fee agreement with the downstream heat user center. Within the preset dispatching area, the mobile thermal storage vehicles are used to connect the upstream and downstream to form a mobile heating system for heat energy storage, transportation and release. S2. The mobile heating system, based on the waste heat, off-peak electricity, and green electricity resources in the upstream resource center, will be modified by adding waste heat recovery devices, electric-to-heat devices, and fixed heat storage devices to obtain and store low-cost heat sources. With the goal of minimizing investment and installation costs and maximizing resource utilization, an upper-level device optimization configuration model will be established to obtain the optimal location, quantity, and model parameter plans for each type of device. S3. Establish a dynamic operation model for mobile thermal storage vehicles and quantify the carbon emissions reduced by the participation of mobile thermal storage vehicles and upstream available resource centers in the coordinated dispatch of heat supply; S4. The mobile heating dispatching center receives the heat energy demand of different types of heat users in the downstream heat user center at different time periods, and combines the resource supply of the upstream available resource center at different time periods, the status information of the dispatchable mobile heat storage vehicles and the priority of different types of heat users. With the goal of optimizing the system operation economy and maximizing the environmental protection benefits, it establishes a lower-level system optimization dispatching model, formulates the number, specifications, and route plans of mobile heat storage vehicles that can be dispatched at the mobile heat storage vehicle operation station, and formulates the resource combination plan of the upstream available resource center.

2. The low-carbon economic heating method according to claim 1, characterized in that: In S1, the mobile heating dispatching center establishes a resource transaction cooperation agreement with the upstream available resource center, leases mobile thermal storage vehicles that can be dispatched at the operation station, and establishes a heat usage fee agreement with the downstream heat user center, including: The mobile heating dispatching center establishes resource trading cooperation agreements with the industrial waste heat suppliers, green electricity suppliers and power grids in the upstream available resource centers based on the historical industrial waste heat data, green electricity output data and power grid electricity price data of the upstream available resource centers, combined with the existing resource trading market conditions, to agree on resource trading capacity and corresponding prices. The mobile heating dispatch center negotiates with the mobile heat storage vehicle operation station to establish a lease agreement based on the heat energy type, heat energy and heat supply capacity of the downstream heat user center within the preset dispatch area, and stipulates the lease price of mobile heat storage vehicles of different specifications and types at different time periods; The mobile heating dispatch center and the downstream heat user center establish a heat charging agreement based on the original heat price of the heat user, and agree on the heat charge or time-based charge price; In addition, the mobile heating dispatching center can also apply to the government for carbon reduction subsidies for utilizing waste heat resources and green electricity resources.

3. The low-carbon economic heating method according to claim 2, characterized in that: The industrial waste heat suppliers include steel mills, chemical plants and coal-fired power plants within the preset dispatching area; the green electricity suppliers include photovoltaic power generation, wind power generation and biomass power generation; the heat users of the downstream heat user center include corporate users, commercial users and residential users, and the types of heat energy required by heat users include steam and hot water; The mobile heating dispatch center automatically triggers transactions with upstream available resource centers, mobile thermal storage vehicle operation stations, and downstream heat user centers through blockchain smart contracts; In addition, when the mobile heating dispatching center conducts transactions with the upstream available resource center, the mobile heat storage vehicle operation station and the downstream heat user center, the mobile heating dispatching center is used as the leader, and the upstream available resource center, the mobile heat storage vehicle operation station and the downstream heat user center are used as followers. A master-slave game model is established, including game parties, game strategy space and benefit / cost function. During the game process, the transaction strategies between the leader and the follower influence each other, and with the goal of achieving the optimal economic efficiency of each party, the master-slave game model is solved to obtain the game equilibrium solution, that is, the final transaction information of each party.

4. The low-carbon economic heating method according to claim 1, characterized in that: In S2, the mobile heating system is modified to obtain and store low-cost heat sources by adding waste heat recovery devices, electric power conversion devices, and fixed heat storage devices based on the waste heat resources, off-peak electricity resources, and green electricity resources in the upstream available resource center, including: The mobile heating system is sited based on the waste heat resources, valley power resources, and green power resources in the upstream available resource center, taking into account the location of the waste heat emission source within the industrial waste heat supplier, and adding waste heat recovery devices and fixed heat storage devices to recover waste heat resources and store excess heat; Within the preset dispatching area, the site selection will take into account green power grid connection points and grid off-peak power access points, and additional power-to-heat devices and fixed heat storage devices will be installed to convert off-peak power and green power resources into thermal energy, and to store excess thermal energy; Consider the location of heat equipment in the downstream heat user center for site selection, and add fixed heat storage devices to store heat energy that exceeds demand.

5. The low-carbon economic heating method according to claim 1, characterized in that: In S2, with the goal of minimizing investment and installation costs and maximizing resource utilization, an upper-layer device optimization configuration model is established, which is expressed as: f1 is the investment and installation cost target; C cap,i is the unit capacity acquisition cost of the i-th type device; C ins,i is the unit capacity installation cost of type i device; λ i is the total capacity of the i-th type device; C land,i is the unit land cost of type i installation; β i is the floor space of the i-th type of device; n is the device type, including waste heat recovery device, electric heat conversion device and fixed heat storage device; maxf2=w1η h +w2η e +w3η s ; f2 is the resource utilization target; η h ,η e ,η s are the waste heat resource utilization rate, electricity resource utilization rate, and heat storage resource utilization rate respectively; w1, w2, and w3 are the weight coefficients corresponding to each resource utilization rate respectively; The constraints of the upper-level device optimization configuration model include: waste heat recovery device capacity constraint, electric heat conversion device power constraint, fixed heat storage device capacity constraint and site selection distance constraint.

6. The low-carbon economic heating method according to claim 1, characterized in that: In S3, a dynamic operation model of the mobile thermal storage vehicle is established, including: In the time dimension, the temporal distribution of mobile thermal storage vehicles is reflected in the processes of thermal energy loading and storage, vehicle driving, and thermal energy release. The time required for thermal energy loading and storage is expressed as: T load Q is the heat energy loading storage time; cap is the heat storage capacity of the mobile heat storage vehicle; P source The power output of the upstream available resource center; the heat energy loading and storage time must also match the time window of heat source supply in the upstream available resource center, including the output time distribution of industrial waste heat and the available time periods of green electricity and off-peak electricity; The time required for the vehicle to travel is expressed as: T trans is the vehicle travel time; D is the total spatial distance from the vehicle to the heat source point in the upstream available resource center and from the heat source point to the heat user point in the downstream heat user center; v is the average driving speed; α is a correction parameter considering the actual factors of road congestion and traffic restrictions; The time required for the heat energy release is expressed as: T unload =Q deliver / P user ; T unload is the heat energy release time; Q deliver Release the required heat for mobile thermal storage vehicles; P user is the rate of heat release; the heat energy release time must also match the heat consumption period of the heat users in the downstream heat user center; In the spatial dimension, the operation of the mobile thermal storage vehicle includes storing thermal energy at the upstream available resource center, releasing thermal energy at the downstream heat user center, and traveling within the preset scheduling area. The upstream available resource center and the downstream heat user center are defined as the heat storage and release nodes, and the operation of the mobile thermal storage vehicle is expressed as: The status of the mobile thermal storage vehicle; Move the thermal storage vehicle z from node a to node b at time t; R hds is the set of heat storage and release nodes; Z mhsv is the set of mobile heat storage vehicles; T is the scheduling time set; The heat storage and release characteristics of the mobile thermal storage vehicle are expressed as: S mhsv,t 、S mhsv,t-1 are the remaining heat storage of the mobile heat storage vehicle at time t and time t-1 respectively; P mhsv,t,in 、P mhsv,t,out are the heat storage power and heat release power of the mobile heat storage vehicle at time t; η mhsv,in ,η mhsv,out are the heat storage and release efficiencies of the mobile thermal storage vehicle; h mhsv,t is the heat dissipation coefficient of the mobile thermal storage vehicle; A mhsv is the heat storage and release surface area of ​​the mobile heat storage vehicle; T mhsv,t 、T mhsv,en,t are the thermal energy temperature and ambient temperature of the mobile thermal storage vehicle at time t, respectively; Δt is the scheduling time interval.

7. The low-carbon economic heating method according to claim 1, characterized in that: In S3, the carbon emissions reduced by the mobile thermal storage vehicles and upstream available resource centers participating in the coordinated heat supply scheduling are quantified, including: Utilize the waste heat resources and green electricity resources of upstream available resource centers to directly or indirectly provide thermal energy for mobile thermal storage vehicles, replace traditional fossil energy with low-carbon or zero-carbon resources, and reduce carbon emissions from heating, which can be expressed as: To reduce carbon emissions; is the carbon emission coefficient; η iwh ,η ge are the weight coefficients of carbon reduction of waste heat resources and green electricity resources respectively; P iwh,t 、P ge,t The thermal energy provided directly or indirectly to the mobile thermal storage vehicle by the waste heat resources and green electricity resources at time t.

8. The low-carbon economic heating method according to claim 1, characterized in that: In S4, the priority settings of different types of heat users include: setting the priority of heat users whose daily heat consumption is greater than a first threshold to the highest, and defining them as high-quality heat users; setting the priority of heat users whose daily heat consumption is less than the first threshold and greater than the second threshold to medium, and defining them as medium heat users; setting the priority of heat users whose daily heat consumption is less than the second threshold to low, and defining them as low-level heat users; wherein the first threshold is greater than the second threshold.

9. The low-carbon economic heating method according to claim 8, characterized in that: After setting the priorities of different types of heat users, it also includes: after the mobile heating dispatching center receives the heat energy demands of different types of heat users in the downstream heat user center in different time periods, if the high-quality heat users have heat energy demands during the period, mobile heat storage vehicles will be allocated first to meet the heat energy demands, and the heat energy demands of the remaining medium and low-level heat users will be set to a pending allocation state, and the heat energy demands will be met step by step according to the status information of each mobile heat storage vehicle and the upstream resource supply surplus.

10. The low-carbon economic heating method according to claim 1, characterized in that: In S4, with the goal of optimizing the economic efficiency of system operation and maximizing environmental benefits, an optimization scheduling model for the lower-level system is established, which is expressed as: F1 is the economical target of system operation; P h,t The heat energy supplied to the downstream heat user center during period t; ε h The price of heat energy sold to downstream heat users; P iwh,buy,t is the waste heat purchased from the upstream available resource center; iwh is the price of waste heat purchased from upstream available resource centers; P ge,buy,t Green electricity purchased from upstream available resource centers; ge is the price of green electricity purchased from upstream available resource centers; P e,buy,t is the valley electricity purchased from the upstream available resource center at time t; e is the price of off-peak electricity purchased from the upstream available resource center; C eh,t is the operating cost of the electric heat conversion device at time t; C fhs,t is the operating cost of the fixed heat storage device at time t; C mhsv,r,t is the rental cost of the mobile thermal storage vehicle at time t; C mhsv,o,t is the operating cost of the mobile thermal storage vehicle for heat energy loading and storage, vehicle driving, and heat energy release at time t; F2 is the environmental benefit target; δ iwh , δ ge They are the unit price of carbon reduction benefit subsidies for utilizing waste heat resources and the unit price of carbon reduction benefit subsidies for utilizing green electricity resources; The constraints of the lower-level system optimization scheduling model include: thermal energy balance constraints, mobile thermal storage vehicle driving path constraints, mobile thermal storage vehicle storage and release power constraints, mobile thermal storage vehicle capacity constraints, various resource constraints of upstream available resource centers, power-to-heat device operation constraints, fixed thermal storage device operation constraints, and thermal energy demand constraints of downstream thermal user centers.

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