Cold storage and heat storage load participated climbing market optimization method, system, equipment and medium

Abstract

The invention belongs to the technical field of power systems and energy management, and discloses a method, a system, equipment and a medium for optimizing a cold storage and heat storage load-participating climbing market, and the method comprises the following steps: establishing an objective function of economic benefits of the cold storage and heat storage load-participating climbing market by scheduling a heat source unit and a water storage tank; establishing constraint conditions of power system energy optimization according to the objective function of the economic benefit of the climbing market participated by the cold storage and heat storage load; and according to the objective function of the economic benefit of the climbing market participated by the cold and heat storage load and the constraint condition of the energy optimization of the power system, solving the load scheduling of the power system by using a solver to obtain an optimal load scheduling scheme of the power system. According to the method, higher economic benefits are obtained while power grid regulation and control requirements are met, low-carbon development of a power system is promoted, and a practical reference scheme is provided for planning and construction of an energy system.

Description

Technical Field

[0001] The present invention relates to the field of power system and energy management technology, and in particular to a method, system, equipment and medium for optimizing the participation of cold and heat storage loads in a ramping market. Background Art

[0002] Cold and heat storage loads represented by air source heat pumps have good cold and heat storage characteristics, and can play a continuous regulatory role to meet the system's ramping needs. At present, cold and heat storage loads are growing explosively, and will account for more than 20% of cold and hot loads in the future. If they are included in the regulation system, the grid's ability to meet ramping, peak load regulation and other needs will be significantly improved. At present, the main body of this type of load is still unclear about the technical form of how to support the system's ramping needs, which is reflected in the fact that the cold and heat storage load model is not accurate enough, the flexible ramping capacity evaluation indicators are not complete, and the ramping regulation strategy has not yet been established.

[0003] Demand-side response is one of the important means for modern power systems to achieve supply and demand balance. Through reasonable adjustments on the load side, demand-side response can not only reduce peak loads and improve energy efficiency, but also respond to changes in the power system by dynamically adjusting demand, thereby improving the stability of the power grid. With the popularization of renewable energy, the power system faces more volatility and uncertainty, and the ramp market has therefore become an important market mechanism to incentivize system resources to provide rapid power adjustment capabilities. The cold and heat storage loads in the demand-side response have flexible adjustment capabilities and can provide effective load responses in both up- and down-ramping scenarios. Therefore, they have great potential to participate in the ramp market and obtain economic benefits.

[0004] The development of power market economics has led to a fundamental change in the way power systems are operated. Loads are no longer passive consumers, but can maximize economic benefits by participating in the market. In this context, cold and thermal storage loads have broad application prospects: by participating in the ramping market, they can not only maintain the supply and demand balance of the power grid when loads fluctuate greatly, but also obtain economic benefits by appropriately reducing or increasing power consumption during peak market price periods. However, there are still many deficiencies in the current research on how cold and thermal storage loads can effectively participate in the ramping market, including the precision of load models, the quantitative evaluation of flexible ramping capabilities, and the optimal regulation strategy for market demand has not yet been fully established.

[0005] Therefore, how to provide optimization methods, systems, equipment and media for cold and heat storage loads to participate in the ramping market is a problem that needs to be solved urgently. Summary of the invention

[0006] The embodiments of the present invention provide a method, system, device and medium for optimizing the participation of cold and heat storage loads in a ramping market, so as to solve the problem in the prior art that cold and heat storage loads cannot effectively participate in the ramping market.

[0007] In order to have a basic understanding of some aspects of the disclosed embodiments, a brief summary is given below. This summary is not intended to be a general review, nor is it intended to identify key / important components or to delineate the scope of protection of these embodiments. Its only purpose is to present some concepts in a simple form as a preface to the detailed description that follows.

[0008] According to a first aspect of an embodiment of the present invention, a method for optimizing the participation of cold and heat storage loads in a ramping market is provided.

[0009] In one embodiment, a method for optimizing the market for cold and heat storage loads to participate in ramping includes the following steps:

[0010] Based on the operating characteristics of the cold and heat storage load and the response mechanism of the cold and heat storage load to the ramping demand of the power system, the objective function of the economic benefits of the cold and heat storage load participating in the ramping market is established through the dispatch of the heat source units and water storage tanks; and based on the objective function of the economic benefits of the cold and heat storage load participating in the ramping market, the constraint conditions for the energy optimization of the power system are established;

[0011] According to the objective function of the economic benefits of the cold and heat storage loads participating in the ramping market and the constraints of the power system energy optimization, the load dispatching of the power system is solved by the solver to obtain the optimal load dispatching plan of the power system.

[0012] In one embodiment, the objective function of the economic benefit of the cold and heat storage load participating in the ramping market is expressed as:

[0013]

[0014] In the formula, t represents the time; T represents the number of optimization cycles; represents the climbing power of the i-th heat source machine at time t; represents the down-climbing power of the i-th heat source machine at time t; represents the up-ramp price at time t; represents the down-ramp price at time t; represents the power consumption of heating machine i at time t; Indicates the real-time electricity price.

[0015] In one embodiment, the objective function of the economic benefits of the cold and heat storage load participating in the ramping market to establish the constraint conditions for power system energy optimization includes the following steps:

[0016] According to the objective function of the economic benefits of the cold and heat storage loads participating in the ramping market, the power balance constraint of the ramping market is established by adjusting the power output of the heat source units in each optimization period;

[0017] By using the power balance constraint of the ramping market and the power and capacity limits of the heat source units and water storage tanks themselves, the energy balance constraints of the heat source units and water storage tanks are established;

[0018] Based on the topological structure of the pipeline, the mixed flow and temperature constraints of the pipeline in the power system are established, and based on the heat loss caused by the time delay phenomenon in the pipeline, the time delay and thermal power constraints of the pipeline in the power system are established;

[0019] According to the heat exchange between the room and the pipes in the power system and the outside world, a room temperature dynamic model is established, and the comfort constraint of the indoor temperature is established based on the room temperature dynamic model.

[0020] In one embodiment, the power balance constraint of the ramp market includes: an up-ramp power constraint and a down-ramp power constraint;

[0021] The expression of the uphill climbing power constraint is:

[0022]

[0023] In the formula, represents the climbing power of the i-th heat source machine at time t; represents the power of the i-th heat source machine at time t; represents the upper limit of the power of the i-th heat source machine at time t;

[0024] The expression of the downhill climbing power constraint is:

[0025]

[0026] In the formula, represents the down-climbing power of the i-th heat source machine at time t; Represents the power of the i-th heat source machine at time t.

[0027] In one embodiment, the expression of the energy balance constraint of the heat source unit is:

[0028]

[0029] In the formula, represents the total power of the i-th heat source machine at time t; represents the thermal storage power of the j-th water storage tank at time t; represents the heat release power of the j-th water storage tank at time t; It represents the power provided by the heat source unit to the main pipeline at time t; represents the instantaneous mass flow rate of the total pipeline at time t; c w represents the specific heat capacity of water; represents the water delivery temperature of the main pipeline at time t; represents the return water temperature of the main pipeline at time t; COP represents the coefficient of performance of the heat source unit; represents the upper limit of the power of the i-th heat source machine at time t;

[0030] The energy balance constraint expression of the water storage tank is:

[0031]

[0032]

[0033]

[0034] In the formula, represents the amount of heat stored in the j-th water storage tank at time t+1; represents the amount of heat stored in the j-th water tank at time t; δ c Represents the heat loss rate of the water storage tank; η c.ch Represents the heat storage efficiency of the water storage tank; η c.dis Indicates the heat release efficiency of the water storage tank; It represents the heat storage capacity of the water storage tank at the beginning of the scheduling period; represents the heat storage capacity of the water storage tank at the end of the scheduling period; represents the minimum heat storage capacity of the j-th water storage tank; represents the maximum heat storage of the j-th water storage tank; represents the thermal storage power of the j-th water storage tank at time t; represents the upper limit of the thermal storage power of the j-th water storage tank at time t; represents the heat release power of the j-th water storage tank at time t; represents the upper limit of the heat release power of the jth water storage tank at time t, and Δt represents an optimization period.

[0035] In one embodiment, the expression of the mixed flow and temperature constraints of the pipeline in the power system is:

[0036]

[0037] In the formula, represents the mass flow rate of the total pipeline at time t; Indicates the return water temperature of the main pipeline at time t; m k ,t represents the mass flow rate of the kth heating building at time t; represents the return water temperature of the kth heating building at time t; represents the mass flow rate of the pressure balancer at time t;

[0038] represents the return water temperature of the pressure balancer at time t; cw represents the specific heat capacity of water; represents any t-th optimization period.

[0039] In one embodiment, the expression of the room temperature dynamic model is:

[0040]

[0041] In the formula, c A represents the specific heat capacity of air; ρ A Indicates air density; V k represents the spatial volume of the kth building; represents the indoor temperature at time t+1; represents the indoor temperature at time t; represents the heat gain of the kth building at time t; represents the heat loss of the kth building at time t; η k Indicates the heat exchange efficiency from the pipe to the room; m k,t represents the mass flow rate of water in the kth pipeline at time t; c w represents the specific heat capacity of water; represents the water delivery temperature of the kth pipeline at time t; represents the return water temperature of the kth pipeline at time t; represents the heat transfer coefficient; represents the surface area of ​​the kth building; represents the indoor temperature at time t; represents the external ambient temperature at time t;

[0042] The comfort constraint expression of the indoor temperature is:

[0043]

[0044] In the formula, represents the minimum indoor comfort temperature at time t; Indicates the maximum indoor comfort temperature at time t.

[0045] According to a second aspect of an embodiment of the present invention, a system for optimizing the market in which cold and heat storage loads participate in ramping is provided.

[0046] In one embodiment, the cold and heat storage load participates in the ramping market optimization system, including:

[0047] The objective function and constraint condition establishment module is used to establish the objective function of the economic benefits of the cold storage and heat storage load participating in the ramping market through the dispatch of the heat source units and water storage tanks based on the operating characteristics of the cold storage and heat storage load and the response mechanism of the cold storage and heat storage load to the ramping demand of the power system; and according to the objective function of the economic benefits of the cold storage and heat storage load participating in the ramping market, establish the constraint conditions for the energy optimization of the power system;

[0048] The optimal load dispatching solution module is used to solve the load dispatching of the power system using a solver according to the objective function of the economic benefits of the cold and heat storage load participating in the ramping market and the constraints of the power system energy optimization, so as to obtain the optimal load dispatching solution of the power system.

[0049] In one embodiment, the objective function of the economic benefit of the cold and heat storage load participating in the ramping market is expressed as:

[0050]

[0051] In the formula, t represents the time; T represents the number of optimization cycles; represents the climbing power of the i-th heat source machine at time t; represents the down-climbing power of the i-th heat source machine at time t; represents the up-ramp price at time t; represents the down-ramp price at time t; represents the power consumption of heating machine i at time t; Indicates the real-time electricity price.

[0052] In one embodiment, the constraint conditions for power system energy optimization are established according to the objective function of the economic benefits of the cold and heat storage load participating in the ramping market, including:

[0053] According to the objective function of the economic benefits of the cold and heat storage loads participating in the ramping market, the power balance constraint of the ramping market is established by adjusting the power output of the heat source units in each optimization period;

[0054] By using the power balance constraint of the ramping market and the power and capacity limits of the heat source units and water storage tanks themselves, the energy balance constraints of the heat source units and water storage tanks are established;

[0055] Based on the topological structure of the pipeline, the mixed flow and temperature constraints of the pipeline in the power system are established, and based on the heat loss caused by the time delay phenomenon in the pipeline, the time delay and thermal power constraints of the pipeline in the power system are established;

[0056] According to the heat exchange between the room and the pipes in the power system and the outside world, a room temperature dynamic model is established, and the comfort constraint of the indoor temperature is established based on the room temperature dynamic model.

[0057] In one embodiment, the power balance constraint of the ramp market includes: an up-ramp power constraint and a down-ramp power constraint;

[0058] The expression of the uphill climbing power constraint is:

[0059]

[0060] In the formula, represents the climbing power of the i-th heat source machine at time t; represents the power of the i-th heat source machine at time t; represents the upper limit of the power of the i-th heat source machine at time t;

[0061] The expression of the downhill climbing power constraint is:

[0062]

[0063] In the formula, represents the down-climbing power of the i-th heat source machine at time t; Represents the power of the i-th heat source machine at time t.

[0064] In one embodiment, the expression of the energy balance constraint of the heat source unit is:

[0065]

[0066]

[0067]

[0068] In the formula, represents the total power of the i-th heat source machine at time t; represents the thermal storage power of the j-th water storage tank at time t; represents the heat release power of the j-th water storage tank at time t; It represents the power provided by the heat source unit to the main pipeline at time t; represents the instantaneous mass flow rate of the total pipeline at time t; c w represents the specific heat capacity of water; represents the water delivery temperature of the main pipeline at time t; represents the return water temperature of the main pipeline at time t; COP represents the coefficient of performance of the heat source unit; represents the upper limit of the power of the i-th heat source machine at time t;

[0069] The energy balance constraint expression of the water storage tank is:

[0070]

[0071]

[0072] In the formula, represents the amount of heat stored in the j-th water storage tank at time t+1; represents the amount of heat stored in the j-th water tank at time t; δ c Represents the heat loss rate of the water storage tank; η c.ch Represents the heat storage efficiency of the water storage tank; η c.dis Indicates the heat release efficiency of the water storage tank; It represents the heat storage capacity of the water storage tank at the beginning of the scheduling period; represents the heat storage capacity of the water storage tank at the end of the scheduling period; represents the minimum heat storage capacity of the j-th water storage tank; represents the maximum heat storage of the j-th water storage tank; represents the thermal storage power of the j-th water storage tank at time t; represents the upper limit of the thermal storage power of the j-th water storage tank at time t; represents the heat release power of the j-th water storage tank at time t; represents the upper limit of the heat release power of the jth water storage tank at time t, and Δt represents an optimization period.

[0073] In one embodiment, the expression of the mixed flow and temperature constraints of the pipeline in the power system is:

[0074]

[0075]

[0076] In the formula, represents the mass flow rate of the total pipeline at time t; Indicates the return water temperature of the main pipeline at time t; m k,t represents the mass flow rate of the kth heating building at time t; represents the return water temperature of the kth heating building at time t; represents the mass flow rate of the pressure balancer at time t; T t dec represents the return water temperature of the pressure balancer at time t; c w represents the specific heat capacity of water; represents any t-th optimization period.

[0077] In one embodiment, the expression of the room temperature dynamic model is:

[0078]

[0079] In the formula, c A represents the specific heat capacity of air; ρA Indicates air density; V k represents the spatial volume of the k-th building; represents the indoor temperature at time t+1; represents the indoor temperature at time t; represents the heat gain of the kth building at time t; represents the heat loss of the kth building at time t; η k Indicates the heat exchange efficiency from the pipe to the room; m k,t represents the mass flow rate of water in the kth pipeline at time t; c w represents the specific heat capacity of water; represents the water delivery temperature of the kth pipeline at time t; represents the return water temperature of the kth pipeline at time t; represents the heat transfer coefficient; represents the surface area of ​​the kth building; represents the indoor temperature at time t; represents the external ambient temperature at time t;

[0080] The indoor temperature comfort constraint expression is:

[0081]

[0082] In the formula, represents the minimum indoor comfort temperature at time t; Indicates the maximum indoor comfort temperature at time t.

[0083] According to a third aspect of an embodiment of the present invention, a computer device is provided.

[0084] In one embodiment, the computer device includes a memory and a processor, the memory stores a computer program, and the processor implements the steps of the above method when executing the computer program.

[0085] According to a fourth aspect of embodiments of the present invention, a computer-readable storage medium is provided.

[0086] In one embodiment, the computer-readable storage medium stores a computer program, and the computer program implements the steps of the above method when executed by a processor.

[0087] The technical solution provided by the embodiment of the present invention may have the following beneficial effects:

[0088] The present invention realizes the reasonable dispatch of heat source units, water storage tanks and pipelines through an optimization model with the goal of maximizing economic benefits, so that the load side can flexibly participate in the electricity market, obtain higher economic benefits while meeting the needs of grid regulation, promote the low-carbon development of the power system, and provide a practical reference solution for the planning and construction of the energy system.

[0089] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0090] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0091] Figure 1 is a flow chart of a method for optimizing a cold storage and heat storage load participating in a ramping market according to an exemplary embodiment;

[0092] Figure 2 is a principle block diagram of a system for optimizing a cold and heat storage load participating in a ramping market according to an exemplary embodiment;

[0093] Figure 3 is a structural schematic diagram of a computer device according to an exemplary embodiment;

[0094] Figure 4 It is a schematic diagram of the topological structure of a cold storage and heat storage load system in a method for optimizing a market in which cold storage and heat storage loads participate in a ramping market according to an exemplary embodiment. DETAILED DESCRIPTION

[0095] The following description and accompanying drawings fully illustrate the specific embodiments of this article so that those skilled in the art can practice them. Parts and features of some embodiments may be included in or replace parts and features of other embodiments. The scope of the embodiments of this article includes the entire scope of the claims, as well as all available equivalents of the claims. Herein, the terms "first", "second", etc. are only used to distinguish one element from another, without requiring or implying any actual relationship or order between these elements. In fact, the first element can also be called the second element, and vice versa. Moreover, the terms "include", "comprise" or any other variant thereof are intended to cover non-exclusive inclusion, so that the structure, device or equipment including a series of elements includes not only those elements, but also other elements that are not explicitly listed, or also include elements inherent to such structure, device or equipment. In the absence of more restrictions, the elements defined by the sentence "including one..." do not exclude the existence of other identical elements in the structure, device or equipment including the elements. Each embodiment is described in a progressive manner herein, and each embodiment focuses on the differences from other embodiments, and the same and similar parts between the embodiments can be referred to each other.

[0096] The terms "longitudinal", "lateral", "upper", "lower", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", etc. in this document indicate the orientation or position relationship based on the orientation or position relationship shown in the drawings, and are only for the convenience of describing this document and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operate in a specific orientation, and therefore cannot be understood as a limitation on the present invention. In the description of this document, unless otherwise specified and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense, for example, it can be a mechanical connection or an electrical connection, it can also be the internal communication of two elements, it can be a direct connection, or it can be an indirect connection through an intermediate medium. For ordinary technicians in this field, the specific meanings of the above terms can be understood according to specific circumstances.

[0097] As used herein, the term "plurality" means two or more than two, unless otherwise specified.

[0098] In this document, the character " / " indicates that the preceding and following objects are in an "or" relationship. For example, A / B means: A or B.

[0099] In this article, the term "and / or" is a description of the association relationship between objects, indicating that three relationships may exist. For example, A and / or B means: A or B, or, A and B.

[0100] It should be understood that, although the various steps in the flow chart are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear description in this article, the execution of these steps is not strictly limited in order, and these steps can be executed in other orders. Moreover, at least a portion of the steps in the figure may include multiple sub-steps or multiple stages, and these sub-steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these sub-steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.

[0101] Each module in the device or system of the present application can be implemented in whole or in part by software, hardware, or a combination thereof. The above modules can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute operations corresponding to the above modules.

[0102] In the absence of conflict, the embodiments of the present invention and the features of the embodiments may be combined with each other.

[0103] Figure 1 An embodiment of the method for optimizing the cold and heat storage loads participating in the ramping market of the present invention is shown.

[0104] In this optional embodiment, the cold and heat storage load participation ramp market optimization method includes the following steps:

[0105] Step S101, based on the operation characteristics of the cold and heat storage load and the response mechanism of the cold and heat storage load to the ramping demand of the power system, by scheduling the heat source unit and the water storage tank, taking maximizing the economic benefit of the ramping market as the optimization goal, an objective function of the cold and heat storage load participating in the ramping market economic benefit is established; and according to the objective function of the cold and heat storage load participating in the ramping market economic benefit, a constraint condition for energy optimization of the power system is established;

[0106] Step S103, according to the objective function of the economic benefits of the cold and heat storage load participating in the ramping market and the constraints of the power system energy optimization, the load dispatching of the power system is solved by using a solver to obtain the optimal load dispatching plan of the power system.

[0107] It should be noted that according to the established economic benefit objective function of the cold and heat storage load participating in the ramping market and various constraints, the optimal scheduling plan for the heat source units, water storage tanks and pipelines in each time period is determined to maximize the economic benefits of the cold and heat storage load participating in the ramping market and ensure the stable operation of the system and the comfort of users.

[0108] Specifically, the above steps can be summarized into two stages. The first stage is to establish the objective function. By scheduling the heat source unit and the water storage tank, the economic benefit objective function of the cold and heat storage load participating in the ramping market is established with the maximization of the economic benefit of the ramping market as the optimization goal; the second stage is to establish various constraints according to the objective function established in the first stage. First, by adjusting the power output of the heat source unit, the power balance constraint of the system is established; secondly, the energy balance constraints of the heat source unit and the water storage tank are considered to ensure that various types of equipment can maintain energy stability during the scheduling process; thirdly, the flow and temperature constraints of the pipeline are established, and the heat loss caused by the time lag phenomenon in the pipeline is considered to ensure the efficient transmission of heat energy in the system; finally, by establishing a dynamic model of room temperature and temperature control demand constraints to ensure user comfort, the GUROBI solver is used to optimize and solve the entire system to obtain the optimal load scheduling plan, maximize the economic benefits of the system, and ensure the safety, stability and efficiency of the system operation.

[0109] In this optional embodiment, the objective function of the economic benefit of the cold and heat storage load participating in the ramping market is expressed as:

[0110]

[0111] In the formula, t represents the time; T represents the number of optimization cycles, T = 96, that is, 15 minutes is one optimization cycle in a day; represents the climbing power of the i-th heat source machine at time t; represents the down-climbing power of the i-th heat source machine at time t; represents the up-ramp price at time t; represents the down-ramp price at time t; represents the power consumption of heating machine i at time t; Indicates the real-time electricity price.

[0112] It should be explained that the first and second items in the objective function represent the up-climbing benefit and down-climbing benefit of the heat source unit respectively, and the third item is the electricity consumption cost of the heat source unit. The economic benefits can be maximized by maximizing the up-climbing and down-climbing power benefits and minimizing the electricity consumption cost.

[0113] In this optional embodiment, when establishing the constraint conditions for energy optimization of the power system according to the objective function of the economic benefits of the cold and heat storage load participating in the ramping market, the power balance constraint of the ramping market can be established by adjusting the power output of the heat source unit in each optimization period according to the objective function of the economic benefits of the cold and heat storage load participating in the ramping market; utilizing the power balance constraint of the ramping market, through the power and capacity limitations of the heat source unit and the water storage tank themselves, the energy balance constraint of the heat source unit and the water storage tank is established; based on the topological structure of the pipeline, the mixed flow and temperature constraints of the pipeline in the power system are established, and based on the heat loss caused by the time lag phenomenon in the pipeline, the time lag and thermal power constraints of the pipeline in the power system are established; based on the heat exchange between the room and the pipeline in the power system and the outside world, a room temperature dynamic model is established, and based on the room temperature dynamic model, the comfort constraint of the indoor temperature is established.

[0114] like Figure 4 As shown in the figure, it is a schematic diagram of the topological structure of the cold and heat storage load system. According to the connection method of each component in the figure and the energy transfer and flow process in the system, various constraints and solution processes are established.

[0115] In this optional embodiment, the power balance constraints of the ramping market include: an up-climbing power constraint and a down-climbing power constraint; the up-climbing power is the difference between the power upper limit of the heat source machine and the current power consumption. When climbing up, the heat source unit responds to demand by reducing the output power; the current power consumption of the heat source machine is used as the down-climbing power. When climbing down, the heat source unit responds to demand by increasing the output power.

[0116] The expression of the uphill climbing power constraint is:

[0117]

[0118] In the formula, represents the climbing power of the i-th heat source machine at time t; represents the power of the i-th heat source machine at time t; represents the upper limit of the power of the i-th heat source machine at time t;

[0119] The expression of the downhill climbing power constraint is:

[0120]

[0121] In the formula, represents the down-climbing power of the i-th heat source machine at time t; Represents the power of the i-th heat source machine at time t.

[0122] In this optional embodiment, the expression of the energy balance constraint of the heat source unit is:

[0123]

[0124]

[0125]

[0126] In the formula, represents the total power of the i-th heat source machine at time t; represents the thermal storage power of the j-th water storage tank at time t; represents the heat release power of the j-th water storage tank at time t; It represents the power provided by the heat source unit to the main pipeline at time t; represents the instantaneous mass flow rate of the total pipeline at time t; c w represents the specific heat capacity of water; represents the water delivery temperature of the main pipeline at time t; represents the return water temperature of the main pipeline at time t; COP represents the coefficient of performance of the heat source unit; represents the upper limit of the power of the i-th heat source machine at time t;

[0127] Among them, for the first expression in the energy balance constraint expression of the heat source unit: it means that the total power of the heat source unit needs to meet the heat storage power of the water storage tank and the required power for heating the total pipeline;

[0128] For the second expression in the energy balance constraint expression of the heat source unit: the performance of the heat source unit is considered through COP, and the transfer of the heating power of the heat source unit is calculated;

[0129] For the third expression in the energy balance constraint expression of the heat source unit: it limits the power of the heat source unit to ensure that its power is within a reasonable range.

[0130] The energy balance constraint expression of the water storage tank is:

[0131]

[0132]

[0133] In the formula, represents the amount of heat stored in the j-th water storage tank at time t+1; represents the amount of heat stored in the j-th water tank at time t; δ c Represents the heat loss rate of the water storage tank; η c.ch Represents the heat storage efficiency of the water storage tank; η c.dis Indicates the heat release efficiency of the water storage tank; It represents the heat storage capacity of the water storage tank at the beginning of the scheduling period; represents the heat storage capacity of the water storage tank at the end of the scheduling period; represents the minimum heat storage capacity of the j-th water storage tank; represents the maximum heat storage of the j-th water storage tank; represents the thermal storage power of the j-th water storage tank at time t; represents the upper limit of the thermal storage power of the j-th water storage tank at time t; represents the heat release power of the j-th water storage tank at time t; represents the upper limit of the heat release power of the jth water storage tank at time t, and Δt represents an optimization period.

[0134] Among them, for the first and second expressions in the energy balance constraint expression of the water storage tank: the heat loss and the influence of the heat storage and heat release power of the water storage tank are considered, and the balance relationship of the energy change of the water storage tank over time is established, and the energy of the water storage tank remains constant at the beginning and combination of the optimization cycle, that is, the system remains stable and continuous throughout the cycle;

[0135] For the third expression in the energy balance constraint expression of the water storage tank: limit the energy storage amount of the water storage tank to its capacity;

[0136] The fourth and fifth expressions in the energy balance constraint expression of the water storage tank ensure that the power of the water storage tank when storing and releasing heat does not exceed the maximum power of the equipment design.

[0137] In this optional embodiment, the expression of the mixed flow and temperature constraints of the pipeline in the power system is:

[0138]

[0139]

[0140] In the formula, represents the mass flow rate of the total pipeline at time t; Indicates the return water temperature of the main pipeline at time t; m k ,t represents the mass flow rate of the kth heating building at time t; represents the return water temperature of the kth heating building at time t; represents the mass flow rate of the pressure balancer at time t; represents the return water temperature of the pressure balancer at time t; c w Indicates the specific heat capacity of water, unit kJ /

[0141] (kg·℃); represents any t-th optimization period.

[0142] Among them, for the first expression of the expressions of the mixed flow and temperature constraints of the pipelines in the above power system: it means that the mass flow of the total pipeline is equal to the sum of the mass flow of the return water of each building and the mass flow of the pressure balancer;

[0143] For the second expression in the expression of mixed flow and temperature constraints of pipelines in the above power system: it means that the heat in the return water in the main pipeline is equal to the sum of the heat of the return water road and the heat of the pressure balancer. The balance between the branches and pipelines in the heating system is guaranteed through the mixed flow and temperature constraints of the pipelines.

[0144] Specifically, when establishing the time delay and thermal power constraints of the pipeline in the entire system, the heat loss caused by the time delay phenomenon in the pipeline needs to be considered. The heat loss caused by the time delay phenomenon in the pipeline is expressed as follows:

[0145]

[0146] In the formula, represents the water delivery temperature of the main pipeline at time t; The intermediate variable representing the water delivery temperature of the kth pipeline at time t+1; The intermediate variable representing the water delivery temperature of the kth pipeline at time t; η pipe It represents the heat transfer coefficient of the water supply pipe; Indicates the ambient temperature; represents the water delivery temperature of the kth pipeline at time t; represents any t-th optimization period.

[0147] In this optional embodiment, the expression of the room temperature dynamic model is:

[0148]

[0149] In the formula, c A represents the specific heat capacity of air; ρ A Indicates air density; V k represents the spatial volume of the k-th building; represents the indoor temperature at time t+1; represents the indoor temperature at time t;

[0150] represents the heat gain of the kth building at time t; represents the heat loss of the kth building at time t; η k Indicates the heat exchange efficiency from the pipe to the room; m k,t represents the mass flow rate of water in the kth pipeline at time t; c w represents the specific heat capacity of water; represents the water delivery temperature of the kth pipeline at time t; represents the return water temperature of the kth pipeline at time t; Indicates the heat transfer coefficient in kW / (m 2 ℃); represents the surface area of ​​the kth building, in m 2 ; represents the indoor temperature at time t; T t out represents the external ambient temperature at time t;

[0151] Specifically, based on the above-mentioned room temperature dynamic model, the change of room temperature in the next time period is calculated by considering the heat gain and heat loss of the room, so that the room temperature can be adjusted according to the actual heating situation.

[0152] The comfort constraint expression of the indoor temperature is:

[0153]

[0154] In the formula, represents the minimum indoor comfort temperature at time t; Indicates the maximum indoor comfort temperature at time t.

[0155] Figure 2 An embodiment of the optimization system for cold and heat storage loads participating in the ramping market of the present invention is shown.

[0156] In this optional embodiment, the cold and heat storage load participates in the ramping market optimization system, including:

[0157] The objective function and constraint condition establishment module 201 is used to establish the objective function of the economic benefits of the cold storage and heat storage load participating in the ramping market by dispatching the heat source units and water storage tanks based on the operating characteristics of the cold storage and heat storage load and the response mechanism of the cold storage and heat storage load to the ramping demand of the power system; and establish the constraint conditions for energy optimization of the power system according to the objective function of the economic benefits of the cold storage and heat storage load participating in the ramping market;

[0158] The optimal load dispatching solution module 203 is used to solve the load dispatching of the power system using a solver according to the objective function of the economic benefits of the cold and heat storage load participating in the ramping market and the constraints of the power system energy optimization to obtain the optimal load dispatching solution for the power system.

[0159] In this optional embodiment, the objective function of the economic benefit of the cold and heat storage load participating in the ramping market is expressed as:

[0160]

[0161] In the formula, t represents the time; T represents the number of optimization cycles; represents the climbing power of the i-th heat source machine at time t; represents the down-climbing power of the i-th heat source machine at time t; represents the up-ramp price at time t; represents the down-ramp price at time t; represents the power consumption of heating machine i at time t; Indicates the real-time electricity price.

[0162] In this optional embodiment, the constraint conditions for energy optimization of the power system are established according to the objective function of the economic benefits of the cold and heat storage load participating in the ramping market, including: establishing a power balance constraint of the ramping market by adjusting the power output of the heat source unit in each optimization period according to the objective function of the economic benefits of the cold and heat storage load participating in the ramping market; utilizing the power balance constraint of the ramping market, and establishing energy balance constraints of the heat source unit and the water storage tank through the power and capacity limitations of the heat source unit and the water storage tank themselves; establishing mixed flow and temperature constraints of the pipelines in the power system based on the topological structure of the pipelines, and establishing time lag and thermal power constraints of the pipelines in the power system based on the heat loss caused by the time lag phenomenon in the pipelines; establishing a room temperature dynamic model based on the heat exchange between the room and the pipelines in the power system and the outside world, and establishing indoor temperature comfort constraints based on the room temperature dynamic model.

[0163] In this optional embodiment, the power balance constraint of the ramp market includes: an up-ramp power constraint and a down-ramp power constraint;

[0164] The expression of the uphill climbing power constraint is:

[0165]

[0166] In the formula, represents the climbing power of the i-th heat source machine at time t; represents the power of the i-th heat source machine at time t; represents the upper limit of the power of the i-th heat source machine at time t;

[0167] The expression of the downhill climbing power constraint is:

[0168]

[0169] In the formula, represents the down-climbing power of the i-th heat source machine at time t; Represents the power of the i-th heat source machine at time t.

[0170] In this optional embodiment, the expression of the energy balance constraint of the heat source unit is:

[0171]

[0172] In the formula, represents the total power of the i-th heat source machine at time t; represents the thermal storage power of the j-th water storage tank at time t; represents the heat release power of the j-th water storage tank at time t; It represents the power provided by the heat source unit to the main pipeline at time t; represents the instantaneous mass flow rate of the total pipeline at time t; c w represents the specific heat capacity of water; represents the water delivery temperature of the main pipeline at time t; represents the return water temperature of the main pipeline at time t; COP represents the coefficient of performance of the heat source unit; represents the upper limit of the power of the i-th heat source machine at time t;

[0173] The energy balance constraint expression of the water storage tank is:

[0174]

[0175] In the formula, represents the amount of heat stored in the j-th water storage tank at time t+1; represents the amount of heat stored in the j-th water tank at time t; δ c Represents the heat loss rate of the water storage tank; η c.ch Represents the heat storage efficiency of the water storage tank; η c.dis Indicates the heat release efficiency of the water storage tank; It represents the heat storage capacity of the water storage tank at the beginning of the scheduling period; represents the heat storage capacity of the water storage tank at the end of the scheduling period; represents the minimum heat storage capacity of the j-th water storage tank; represents the maximum heat storage of the j-th water storage tank; represents the thermal storage power of the j-th water storage tank at time t; represents the upper limit of the thermal storage power of the j-th water storage tank at time t; represents the heat release power of the j-th water storage tank at time t; It represents the upper limit of the heat release power of the j-th water storage tank at time t, Δt represents an optimization period, one period is 15 minutes, and a day is divided into 96 periods.

[0176] In this optional embodiment, the expression of the mixed flow and temperature constraints of the pipeline in the power system is:

[0177]

[0178]

[0179] In the formula, represents the mass flow rate of the total pipeline at time t; Indicates the return water temperature of the main pipeline at time t; m k,t represents the mass flow rate of the kth heating building at time t; represents the return water temperature of the kth heating building at time t; represents the mass flow rate of the pressure balancer at time t;

[0180] represents the return water temperature of the pressure balancer at time t; c w represents the specific heat capacity of water; represents any t-th optimization period.

[0181] In this optional embodiment, the expression of the room temperature dynamic model is:

[0182]

[0183] In the formula, c A represents the specific heat capacity of air; ρ A Indicates air density; V k represents the spatial volume of the k-th building; represents the indoor temperature at time t+1; represents the indoor temperature at time t; represents the heat gain of the kth building at time t; represents the heat loss of the kth building at time t; η k Indicates the heat exchange efficiency from the pipe to the room; m k,t represents the mass flow rate of water in the kth pipeline at time t; c w represents the specific heat capacity of water; represents the water delivery temperature of the kth pipeline at time t; represents the return water temperature of the kth pipeline at time t; represents the heat transfer coefficient; represents the surface area of ​​the kth building; represents the indoor temperature at time t; represents the external ambient temperature at time t;

[0184] The indoor temperature comfort constraint expression is:

[0185]

[0186] In the formula, represents the minimum indoor comfort temperature at time t; Indicates the maximum indoor comfort temperature at time t.

[0187] In one embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as follows: Figure 3 As shown. The computer device includes a processor, a memory and a network interface connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store static information and dynamic information data. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, the steps in the above method embodiment are implemented.

[0188] Those skilled in the art will understand that Figure 3 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present invention, and does not constitute a limitation on the computer device to which the solution of the present invention is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0189] In addition, the present invention also provides a computer device, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above method embodiment when executing the computer program.

[0190] In addition, the present invention further provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps in the above method embodiment are implemented.

[0191] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided by the present invention can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory or optical memory, etc. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0192] The present invention is not limited to the structures which have been described above and shown in the drawings, and various modifications and changes may be made without departing from the scope thereof. The scope of the present invention is limited only by the appended claims.

Claims

1. A method for optimizing the market for cold and heat storage loads to participate in ramping, characterized in that: The following steps are involved: Based on the operating characteristics of the cold and heat storage load and the response mechanism of the cold and heat storage load to the ramping demand of the power system, the objective function of the economic benefits of the cold and heat storage load participating in the ramping market is established through the dispatch of the heat source units and water storage tanks; and based on the objective function of the economic benefits of the cold and heat storage load participating in the ramping market, the constraint conditions for the energy optimization of the power system are established; According to the objective function of the economic benefits of the cold and heat storage loads participating in the ramping market and the constraints of the power system energy optimization, the load dispatching of the power system is solved by the solver to obtain the optimal load dispatching plan of the power system.

2. The method for optimizing the cold and heat storage load participation in the ramping market according to claim 1 is characterized in that: The objective function of the economic benefits of the cold and heat storage load participating in the ramping market is expressed as: In the formula, t represents the time; T represents the number of optimization cycles; represents the climbing power of the i-th heat source machine at time t; represents the down-climbing power of the i-th heat source machine at time t; represents the up-ramp price at time t; represents the down-ramp price at time t; represents the power consumption of heating machine i at time t; Indicates the real-time electricity price.

3. The method for optimizing the cold and heat storage load participation in the ramping market according to claim 1, characterized in that: The objective function of the economic benefits of the cold and heat storage load participating in the ramping market to establish the constraint conditions for power system energy optimization includes the following steps: According to the objective function of the economic benefits of the cold and heat storage loads participating in the ramping market, the power balance constraint of the ramping market is established by adjusting the power output of the heat source units in each optimization period; By using the power balance constraint of the ramping market and the power and capacity limits of the heat source units and water storage tanks themselves, the energy balance constraints of the heat source units and water storage tanks are established; Based on the topological structure of the pipeline, the mixed flow and temperature constraints of the pipeline in the power system are established, and based on the heat loss caused by the time delay phenomenon in the pipeline, the time delay and thermal power constraints of the pipeline in the power system are established; According to the heat exchange between the room and the pipes in the power system and the outside world, a room temperature dynamic model is established, and the comfort constraint of the indoor temperature is established based on the room temperature dynamic model.

4. The method for optimizing the cold and heat storage load participation in the ramping market according to claim 3 is characterized in that: The power balance constraints of the ramp market include: an up-ramp power constraint and a down-ramp power constraint; The expression of the uphill climbing power constraint is: In the formula, represents the climbing power of the i-th heat source machine at time t; represents the power of the i-th heat source machine at time t; represents the upper limit of the power of the i-th heat source machine at time t; The expression of the downhill climbing power constraint is: In the formula, represents the down-climbing power of the i-th heat source machine at time t; Represents the power of the i-th heat source machine at time t.

5. The method for optimizing the cold and heat storage load participation in the ramping market according to claim 3 is characterized in that: The expression of the energy balance constraint of the heat source unit is: In the formula, represents the total power of the i-th heat source machine at time t; represents the thermal storage power of the j-th water storage tank at time t; represents the heat release power of the j-th water storage tank at time t; It represents the power provided by the heat source unit to the main pipeline at time t; represents the instantaneous mass flow rate of the total pipeline at time t; c w represents the specific heat capacity of water; represents the water delivery temperature of the main pipeline at time t; represents the return water temperature of the main pipeline at time t; COP represents the coefficient of performance of the heat source unit; represents the upper limit of the power of the i-th heat source machine at time t; The energy balance constraint expression of the water storage tank is: In the formula, represents the amount of heat stored in the j-th water storage tank at time t+1; represents the amount of heat stored in the j-th water tank at time t; δ c Represents the heat loss rate of the water storage tank; η c.ch Represents the heat storage efficiency of the water storage tank; η c.dis Indicates the heat release efficiency of the water storage tank; It represents the heat storage capacity of the water storage tank at the beginning of the scheduling period; represents the heat storage capacity of the water storage tank at the end of the scheduling period; represents the minimum heat storage capacity of the j-th water storage tank; represents the maximum heat storage of the j-th water storage tank; represents the thermal storage power of the j-th water storage tank at time t; represents the upper limit of the thermal storage power of the j-th water storage tank at time t; represents the heat release power of the j-th water storage tank at time t; represents the upper limit of the heat release power of the jth water storage tank at time t, and Δt represents an optimization period.

6. The method for optimizing the cold and heat storage load participation in the ramping market according to claim 4 is characterized in that: The expressions for the mixed flow and temperature constraints of the pipelines in the power system are: In the formula, represents the mass flow rate of the total pipeline at time t; Indicates the return water temperature of the main pipeline at time t; m k,t represents the mass flow rate of the kth heating building at time t; represents the return water temperature of the kth heating building at time t; represents the mass flow rate of the pressure balancer at time t; represents the return water temperature of the pressure balancer at time t; c w represents the specific heat capacity of water; represents any t-th optimization period.

7. The method for optimizing the cold and heat storage load participation in the ramping market according to claim 3 is characterized in that: The expression of the room temperature dynamic model is: In the formula, c A represents the specific heat capacity of air; ρ A Indicates air density; V k represents the spatial volume of the kth building; represents the indoor temperature at time t+1; represents the indoor temperature at time t; represents the heat gain of the kth building at time t; represents the heat loss of the kth building at time t; η k Indicates the heat exchange efficiency from the pipe to the room; m k,t represents the mass flow rate of water in the kth pipeline at time t; c w represents the specific heat capacity of water; represents the water delivery temperature of the kth pipeline at time t; represents the return water temperature of the kth pipeline at time t; represents the heat transfer coefficient; represents the surface area of ​​the kth building; represents the indoor temperature at time t; represents the external ambient temperature at time t; The comfort constraint expression of the indoor temperature is: In the formula, represents the minimum indoor comfort temperature at time t; Indicates the maximum indoor comfort temperature at time t.

8. The cold and heat storage load participates in the ramp market optimization system, which is characterized by: include: The objective function and constraint condition establishment module is used to establish the objective function of the economic benefits of the cold storage and heat storage load participating in the ramping market through the dispatch of the heat source units and water storage tanks based on the operating characteristics of the cold storage and heat storage load and the response mechanism of the cold storage and heat storage load to the ramping demand of the power system; and according to the objective function of the economic benefits of the cold storage and heat storage load participating in the ramping market, establish the constraint conditions for the energy optimization of the power system; The optimal load dispatching solution module is used to solve the load dispatching of the power system using a solver according to the objective function of the economic benefits of the cold and heat storage load participating in the ramping market and the constraints of the power system energy optimization, so as to obtain the optimal load dispatching solution of the power system.

9. The cold and heat storage load participation ramp market optimization system according to claim 8 is characterized in that: The objective function of the economic benefits of the cold and heat storage load participating in the ramping market is expressed as: In the formula, t represents the time; T represents the number of optimization cycles; represents the climbing power of the i-th heat source machine at time t; represents the down-climbing power of the i-th heat source machine at time t; represents the up-ramp price at time t; represents the down-ramp price at time t; represents the power consumption of heating machine i at time t; Indicates the real-time electricity price.

10. The cold and heat storage load participation ramp market optimization system according to claim 8, characterized in that: According to the objective function of the economic benefits of the cold and heat storage load participating in the ramping market, the constraint conditions for establishing the energy optimization of the power system include: According to the objective function of the economic benefits of the cold and heat storage loads participating in the ramping market, the power balance constraint of the ramping market is established by adjusting the power output of the heat source units in each optimization period; By using the power balance constraint of the ramping market and the power and capacity limits of the heat source units and water storage tanks themselves, the energy balance constraints of the heat source units and water storage tanks are established; Based on the topological structure of the pipeline, the mixed flow and temperature constraints of the pipeline in the power system are established, and based on the heat loss caused by the time delay phenomenon in the pipeline, the time delay and thermal power constraints of the pipeline in the power system are established; According to the heat exchange between the room and the pipes in the power system and the outside world, a room temperature dynamic model is established, and the comfort constraint of the indoor temperature is established based on the room temperature dynamic model.

11. The cold and heat storage load participation ramp market optimization system according to claim 10 is characterized in that: The power balance constraints of the ramp market include: an up-ramp power constraint and a down-ramp power constraint; The expression of the uphill climbing power constraint is: In the formula, represents the climbing power of the i-th heat source machine at time t; represents the power of the i-th heat source machine at time t; represents the upper limit of the power of the i-th heat source machine at time t; The expression of the downhill climbing power constraint is: In the formula, represents the down-climbing power of the i-th heat source machine at time t; Represents the power of the i-th heat source machine at time t.

12. The cold and heat storage load participation ramp market optimization system according to claim 10, characterized in that: The expression of the energy balance constraint of the heat source unit is: In the formula, represents the total power of the i-th heat source machine at time t; represents the thermal storage power of the j-th water storage tank at time t; represents the heat release power of the j-th water storage tank at time t; It represents the power provided by the heat source unit to the main pipeline at time t; represents the instantaneous mass flow rate of the total pipeline at time t; c w represents the specific heat capacity of water; represents the water delivery temperature of the main pipeline at time t; represents the return water temperature of the main pipeline at time t; COP represents the coefficient of performance of the heat source unit; represents the upper limit of the power of the i-th heat source machine at time t; The energy balance constraint expression of the water storage tank is: In the formula, represents the amount of heat stored in the j-th water storage tank at time t+1; represents the amount of heat stored in the j-th water tank at time t; δ c Represents the heat loss rate of the water storage tank; η c.ch Represents the heat storage efficiency of the water storage tank; η c.dis Indicates the heat release efficiency of the water storage tank; It represents the heat storage capacity of the water storage tank at the beginning of the scheduling period; represents the heat storage capacity of the water storage tank at the end of the scheduling period; represents the minimum heat storage capacity of the j-th water storage tank; represents the maximum heat storage of the j-th water storage tank; represents the thermal storage power of the j-th water storage tank at time t; represents the upper limit of the thermal storage power of the j-th water storage tank at time t; represents the heat release power of the j-th water storage tank at time t; represents the upper limit of the heat release power of the jth water storage tank at time t, and Δt represents an optimization period.

13. The cold and heat storage load participation ramp market optimization system according to claim 12, characterized in that: The expressions for the mixed flow and temperature constraints of the pipelines in the power system are: In the formula, represents the mass flow rate of the total pipeline at time t; Indicates the return water temperature of the main pipeline at time t; m k,t represents the mass flow rate of the kth heating building at time t; represents the return water temperature of the kth heating building at time t; represents the mass flow rate of the pressure balancer at time t; represents the return water temperature of the pressure balancer at time t; c w represents the specific heat capacity of water; represents any t-th optimization period.

14. The cold and heat storage load participation ramp market optimization system according to claim 10, characterized in that: The expression of the room temperature dynamic model is: In the formula, c A represents the specific heat capacity of air; ρ A Indicates air density; V k represents the spatial volume of the kth building; represents the indoor temperature at time t+1; represents the indoor temperature at time t; represents the heat gain of the kth building at time t; represents the heat loss of the kth building at time t; η k Indicates the heat exchange efficiency from the pipe to the room; m k,t represents the mass flow rate of water in the kth pipeline at time t; c w represents the specific heat capacity of water; represents the water delivery temperature of the kth pipeline at time t; represents the return water temperature of the kth pipeline at time t; represents the heat transfer coefficient; represents the surface area of ​​the kth building; represents the indoor temperature at time t; represents the external ambient temperature at time t; The comfort constraint expression of the indoor temperature is: In the formula, represents the minimum indoor comfort temperature at time t; Indicates the maximum indoor comfort temperature at time t.

15. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

16. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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