Heat supply peak regulation control method and device based on chemical heat storage

Abstract

The invention relates to the technical field of chemical heat storage, in particular to a heat supply peak regulation control method and device based on chemical heat storage. The method comprises the following steps: in a heat supply peak regulation mode, firstly obtaining two types of key energy consumption curves, namely a first heat supply energy consumption curve and a second heat supply energy consumption curve, of a heat supply pipe network coverage area in a current time period; and a third heat supply energy consumption curve used for representing the heat supply energy consumption gap of the area is determined through difference value operation of the two curves. And finally, based on the third heat supply energy consumption curve, cooperative control is conducted on the heat release process of the chemical heat storage unit and the operation parameters of the heat supply circulating pump. In this way, dynamic adaptation of the chemical heat storage unit and the system can be achieved, and the energy utilization efficiency of chemical heat storage is remarkably improved.

Description

Technical Field

[0001] The present invention relates to the field of chemical heat storage technology, and in particular to a heat supply peak regulation control method and device based on chemical heat storage. Background Art

[0002] Driven by the global energy low-carbon transition and the "dual carbon" goals, the transformation of heating systems to higher efficiency and lower carbon emissions has become crucial. Traditional heating systems rely on fossil fuels and have a delayed response to load fluctuations. They often suffer from insufficient peak heating and energy waste during off-peak periods, resulting in heat loss rates exceeding 15% and high carbon emissions. As the proportion of green electricity such as wind power and photovoltaics increases, the mismatch between their intermittent and volatile nature and the timing of heating demand becomes more prominent. Peak green power output (such as photovoltaic power at noon and wind power at night) often overlaps with low heating supply periods, leading to curtailment rates of 3% to 10%. However, during peak heating periods, green power output is insufficient and reliance on fossil fuels is still necessary, wasting clean electricity and increasing the peak-shaving pressure on the power grid. The heating load accounts for 20% to 30% of urban electricity consumption in winter, but due to a lack of heat storage, it cannot become a "flexible load" on the power grid. Heat storage technology is the key to breaking this deadlock.

[0003] However, the application of chemical heat storage is limited by a lack of control. Its heat storage and release involve multi-physics coupling, and traditional control strategies cannot balance efficiency and precision. This results in actual energy efficiency of less than 60%, far below the theoretical value. Therefore, intelligent heating peak-shaving methods are urgently needed to unleash the potential of chemical heat storage.

[0004] Based on this, the present invention proposes a heating peak-shaving control method and device based on chemical heat storage to solve the above technical problems. Summary of the Invention

[0005] The present invention describes a heat supply peak regulation control method and device based on chemical heat storage, which can improve the energy utilization rate of chemical heat storage.

[0006] According to a first aspect, the present invention provides a heating peak-shaving control method based on chemical heat storage. The method is applied to a controller of a heating peak-shaving control system based on chemical heat storage. The system includes the controller and a green power generation unit, an electric heating device, a chemical heat storage unit, a heating circulation pump, and a heating pipe network connected in sequence. The green power generation unit is connected to the heating circulation pump, and the controller is electrically connected to the green power generation unit, the electric heating device, the chemical heat storage unit, and the heating circulation pump, respectively. The method includes:

[0007] When in the heating peak-shaving mode, obtain a first heating energy consumption curve and a second heating energy consumption curve for the area where the heating pipe network is located in the current time period; wherein the first heating energy consumption curve is a predicted heating energy consumption curve, and the second heating energy consumption curve is an actual heating energy consumption curve;

[0008] Determining a third heating energy consumption curve based on the first heating energy consumption curve and the second heating energy consumption curve; wherein the third heating energy consumption curve is used to represent the heating energy consumption gap in the area where the heating pipe network is located;

[0009] Based on the third heating energy consumption curve, the chemical heat storage unit and the heating circulation pump are controlled.

[0010] According to a second aspect, the present invention provides a heating peak-shaving control device based on chemical heat storage. The device is applied to a controller of a heating peak-shaving control system based on chemical heat storage. The system includes the controller and a green power generation unit, an electric heating device, a chemical heat storage unit, a heating circulation pump, and a heating pipe network connected in sequence. The green power generation unit is connected to the heating circulation pump, and the controller is electrically connected to the green power generation unit, the electric heating device, the chemical heat storage unit, and the heating circulation pump respectively. The device includes:

[0011] an acquisition unit configured to, when in a heating peak-shaving mode, acquire a first heating energy consumption curve and a second heating energy consumption curve for the area where the heating pipe network is located within a current time period; wherein the first heating energy consumption curve is a predicted heating energy consumption curve, and the second heating energy consumption curve is an actual heating energy consumption curve;

[0012] The first data processing unit is configured to determine a third heating energy consumption curve based on the first heating energy consumption curve and the second heating energy consumption curve; wherein the third heating energy consumption curve is used to represent the heating energy consumption gap in the area where the heating pipe network is located;

[0013] The second data processing unit is configured to control the chemical heat storage unit and the heating circulation pump based on the third heating energy consumption curve.

[0014] In a third aspect, an embodiment of this specification further provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the method described in any embodiment of this specification is implemented.

[0015] In a fourth aspect, an embodiment of this specification also provides a heating peak-shaving control system based on chemical heat storage, the system comprising a controller and a green electricity generation unit, an electric heating device, a chemical heat storage unit, a heating circulation pump, and a heating pipeline connected in sequence, the green electricity generation unit and the heating circulation pump being connected, the controller being electrically connected to the green electricity generation unit, the electric heating device, the chemical heat storage unit and the heating circulation pump respectively, the controller being used to execute the method described in any embodiment of this specification.

[0016] According to the heating peak-shaving control method and device based on chemical heat storage provided by the present invention, when the system is in the heating peak-shaving mode, two types of key energy consumption curves of the heating network coverage area in the current time period are first obtained, namely the first heating energy consumption curve (i.e., the predicted heating energy consumption curve) and the second heating energy consumption curve (i.e., the actual heating energy consumption curve). By calculating the difference between these two curves, a third heating energy consumption curve is determined to accurately characterize the heating energy consumption gap in the area. Finally, with the third heating energy consumption curve as the core basis, the heat release process of the chemical heat storage unit and the operating parameters of the heating circulation pump are coordinated and controlled. In this way, the present invention can achieve dynamic adaptation of the chemical heat storage unit and the system, significantly improving the energy utilization efficiency of chemical heat storage. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0018] Figure 1 A schematic flow chart of a heating peak-shaving control method based on chemical heat storage according to one embodiment is shown;

[0019] Figure 2 A schematic block diagram of a heating peak-shaving control device based on chemical heat storage according to one embodiment is shown;

[0020] Figure 3 A schematic block diagram of a heating peak-shaving control system based on chemical heat storage according to one embodiment is shown. DETAILED DESCRIPTION

[0021] The solution provided by the present invention is described below with reference to the accompanying drawings.

[0022] Figure 1 A flow chart of a heating peak-shaving control method based on chemical heat storage according to one embodiment is shown. It can be understood that the method can be executed by any device, equipment, platform, or equipment cluster with computing and processing capabilities. The heating peak-shaving control method based on chemical heat storage is applied to a controller of a heating peak-shaving control system based on chemical heat storage. The system includes a controller and a green power generation unit, an electric heating device, a chemical heat storage unit, a heating circulation pump, and a heating pipe network connected in sequence. The green power generation unit is connected to the heating circulation pump, and the controller is electrically connected to the green power generation unit, the electric heating device, the chemical heat storage unit, and the heating circulation pump, respectively. Figure 1 As shown, the method includes:

[0023] Step 100: When in the heating peak-shaving mode, obtain a first heating energy consumption curve and a second heating energy consumption curve for the area where the heating pipe network is located in the current time period; wherein the first heating energy consumption curve is a predicted heating energy consumption curve, and the second heating energy consumption curve is an actual heating energy consumption curve;

[0024] Step 102: Determine a third heating energy consumption curve based on the first heating energy consumption curve and the second heating energy consumption curve; wherein the third heating energy consumption curve is used to represent the heating energy consumption gap in the area where the heating network is located;

[0025] Step 104: Control the chemical heat storage unit and the heating circulation pump based on the third heating energy consumption curve.

[0026] In this embodiment, when the system is in the heating peak-shaving mode, two types of key energy consumption curves are first obtained for the area covered by the heating network in the current time period: the first heating energy consumption curve (i.e., the predicted heating energy consumption curve) and the second heating energy consumption curve (i.e., the actual heating energy consumption curve). By calculating the difference between these two curves, a third heating energy consumption curve is determined to accurately characterize the heating energy consumption gap in the area. Finally, based on the third heating energy consumption curve as the core basis, the heat release process of the chemical heat storage unit and the operating parameters of the heating circulation pump are coordinated and controlled. In this way, the present invention can achieve dynamic adaptation of the chemical heat storage unit and the system, significantly improving the energy utilization efficiency of chemical heat storage.

[0027] In one embodiment of the present invention, the chemical heat storage unit and the heating circulation pump are controlled based on the heating energy consumption fluctuation curve, including:

[0028] Based on the third heating energy consumption curve, determining a plurality of heating gap energy consumption coordinates;

[0029] Based on the multiple heat supply gap energy consumption coordinates, determining the reaction condition coordinates of the multiple chemical heat storage units and the speed coordinates of the multiple heat supply circulation pumps; wherein each heat supply gap energy consumption coordinate corresponds to the reaction condition coordinate of a chemical heat storage unit and the speed coordinate of a heat supply circulation pump;

[0030] Determine a reaction condition curve based on a plurality of reaction condition coordinates, and determine a rotation speed curve based on a plurality of rotation speed coordinates;

[0031] Based on the reaction condition curve and the speed curve, the reaction conditions of the chemical heat storage unit and the speed of the heating circulation pump are controlled in turn.

[0032] In this embodiment, first, based on the third heating energy consumption curve (i.e., the heating energy consumption gap curve), a number of key heating gap energy consumption coordinates are extracted through time discretization. These coordinates, with time as the horizontal axis and the gap energy consumption value as the vertical axis, accurately mark the amount of heat required to be replenished at different times. Subsequently, corresponding control parameters are matched to each heating gap energy consumption coordinate: on the one hand, the reaction condition coordinates (including temperature and pressure) of the chemical heat storage unit are generated, and on the other hand, the speed coordinates of the heating circulation pump are determined. This one-to-one mapping relationship ensures a precise match between the heat replenishment demand and the operating status of the equipment. On this basis, the discrete reaction condition coordinates and speed coordinates are fitted into continuous reaction condition curves and speed curves, respectively. These two curves smoothly connect the control parameters at each moment, avoiding sudden changes in the equipment operating status. Finally, the controller adjusts the reaction environment of the chemical heat storage unit in real time based on the reaction condition curve (such as adjusting the heating power through the temperature control module and the pressure through the pressure valve). At the same time, the motor frequency of the heating circulation pump is dynamically controlled according to the speed curve, achieving coordinated operation of the two. Through this control logic, the heat release process of the chemical heat storage unit and the heat transport of the pipeline network form a closed-loop linkage, which can not only quickly fill the heating gap, but also avoid energy waste, further improving the energy efficiency and operational stability of the chemical heat storage system.

[0033] In one embodiment of the present invention, the reaction condition coordinates are determined by the following formula:

[0034] E i =η chem ·S i ·(k T ·T i +k P ·P i +k TP ·T i ·P i +k0)·Δt·exp(-α·T i 2 -β·P i 2 )

[0035]

[0036] Where, t i is the i-th control moment, E i t i Energy consumption of heating gap, η chem is the heat release efficiency of the chemical heat storage unit, S i t i The heat storage state coefficient, k T is the influence coefficient of temperature on heat release power, T i t i The reaction temperature, kP is the influence coefficient of pressure on heat release power, P i t i Reaction pressure, k TP is the influence coefficient of temperature on heat release power, k0 is the reference heat release power, Δt is the control time step, α is the temperature attenuation coefficient, β is the pressure attenuation coefficient, Q max is the maximum heat storage capacity of the heat storage unit, η store is the efficiency of the energy storage process, (t i , E i ) is the energy consumption coordinate of heating gap, (t i , P i , T i , S i ) is the reaction condition coordinate.

[0037] In this embodiment, the traditional model usually only considers the effect of a single variable, temperature or pressure, on the heat release of energy storage, while this equation group uses the coupling term k TP ·T i ·P i and state coefficient S i , achieving three-dimensional coordinated control of temperature, pressure, and material heat storage state. For example, when the material is close to exhaustion (the state coefficient approaches zero), the system automatically improves the temperature / pressure compensation heat release efficiency to avoid insufficient heat supply caused by ignoring material attenuation in traditional control. At the same time, exp(-α·T i 2 -β·P i 2 ) term first incorporates the high-temperature / high-pressure attenuation characteristics of chemical energy storage materials, preventing the risk of runaway in traditional linear models under extreme conditions. For example, when the temperature exceeds the material's critical value, the exponential term rapidly approaches zero, forcibly limiting parameter growth and protecting device safety. Dynamic tracking of heat storage status is achieved, allowing the control system to adjust strategies in real time based on the remaining capacity of the material.

[0038] In one embodiment of the present invention, the rotational speed coordinate is determined by the following formula:

[0039] E i =N pump,i ·c·ρ·Q pump,i ·(θ out,i -θ i )·Δt+γ·n i-1

[0040] θ out,i =θ base +δ·T i

[0041]

[0042] Where N pump,i is the pump efficiency, Q pump,i is the flow rate, a n is the first pump efficiency curve fitting coefficient, b n is the fitting coefficient of the second pump efficiency curve, n i t i Pump speed, c n is the fitting coefficient of the third pump efficiency curve, c is the specific heat capacity of water, ρ is the density of water, k q is the fitting coefficient of the first flow rate and speed relationship, k q′ is the fitting coefficient of the second flow rate and speed relationship, θ out,i t i The outlet water temperature of the heat storage unit, θ i t i The return water temperature of the pipe network, γ is the pump speed hysteresis coefficient, θ base is the base temperature, and δ is the temperature transfer coefficient.

[0043] In this embodiment, θ out,i =θ base +δ·T i The reaction temperature of the chemical heat storage unit is directly mapped to the inlet and outlet temperature difference of the circulation pump, realizing integrated control of "heat storage and delivery". This cross-device parameter linkage breaks through the limitations of independent adjustment of each device in traditional control and improves the overall energy efficiency of the system. i-1 This item takes into account the inertia delay of the fluid system to avoid hydraulic oscillation caused by excessive response in traditional PID control. In practical applications, this correction can reduce the pressure fluctuation of the pipeline network by more than 50%, extending the service life of the pipeline. Among them, the base temperature is related to the season and can be set between -10 and 40℃. n =-10 -7 min 2 / r 2 , b n =-3×10 -4 min 2 / r 2 , c n =0.5, the pump speed hysteresis coefficient is 0.1 to 0.3, and the temperature transfer coefficient is 0.6.

[0044] In one embodiment of the present invention, determining a third heating energy consumption curve based on the first heating energy consumption curve and the second heating energy consumption curve includes:

[0045] Calculate the moment-by-moment difference between the first heating energy consumption curve and the second heating energy consumption curve to obtain a third heating energy consumption curve;

[0046] Among them, the first heating energy consumption curve, the second heating energy consumption curve and the third heating energy consumption curve are all two-dimensional curves with the horizontal axis being time and the vertical axis being heating energy consumption.

[0047] In this embodiment, the process of determining the third heating energy consumption curve based on the first heating energy consumption curve and the second heating energy consumption curve is as follows: Specifically, a moment-by-moment difference calculation method is adopted, and the energy consumption values ​​of the first heating energy consumption curve (predicted heating energy consumption curve) and the second heating energy consumption curve (actual heating energy consumption curve) at the same moment are calculated based on the time axis. That is, the third heating energy consumption value at a certain moment is equal to the predicted energy consumption value of the first curve at that moment minus the actual energy consumption value of the second curve. It is worth noting that all three curves use a unified two-dimensional coordinate system: the horizontal axis is the time dimension (such as hours and minutes), and the vertical axis is the heating energy consumption dimension (such as kW·h). Through this intuitive curve form, the corresponding relationship between the predicted demand, actual supply and gap size at different times can be clearly presented, providing an accurate quantitative basis for the subsequent coordinated control of the chemical heat storage unit and the heating circulation pump.

[0048] In one embodiment of the present invention, when in the heat storage mode, the energy storage state of the chemical heat storage unit and the fourth heating energy consumption curve of the green electricity generation unit are obtained;

[0049] determining the remaining energy storage capacity of the chemical heat storage unit based on the energy storage state;

[0050] determining the operating hours of the electric heating equipment based on the remaining energy storage capacity and the fourth heating energy consumption curve;

[0051] Control the heating circulation pump to operate at low load, and at the same time control the electric heating equipment to stop running after running according to the working hours.

[0052] In this embodiment, the current energy storage status of the chemical heat storage unit and the fourth heating energy consumption curve of the green electricity generation unit are first acquired in real time. The energy storage status reflects the current level of heat storage in the chemical heat storage unit, while the fourth heating energy consumption curve reflects the energy available for heat storage in the green electricity generation unit at different times. Next, based on the acquired energy storage status, the remaining energy storage capacity of the chemical heat storage unit is calculated. This capacity intuitively represents the maximum amount of energy that can still be stored in the chemical heat storage unit. Then, the operating time of the electric heating device is determined based on the remaining energy storage capacity and the fourth heating energy consumption curve. This process comprehensively considers the supply period and energy level of green electricity to ensure that the remaining energy storage capacity is fully filled when green electricity is sufficient, without wasting green electricity. Finally, the electric heating device is controlled to operate according to the determined operating time, while the heat circulation pump is controlled to operate at a low load. When the electric heating device completes its operating time, it is controlled to stop operating. This control method fully utilizes green electricity resources during the heat storage phase, improving green electricity utilization while reducing unnecessary energy consumption and further optimizing the overall performance of the chemical heat storage system.

[0053] In one embodiment of the present invention, the operating time of the electric heating device is determined by the following formula:

[0054]

[0055] t=k·Δt

[0056] P heat,i ≤P green,i

[0057] t≤T window

[0058] P min ≤P heat,i ≤P max

[0059] η store =η0·(1-α·ΔT 2 )

[0060]

[0061] Where T is the working time of the electric heating equipment, k is the number of time steps, and P heat,i is the heating power of step i, η store is the heat storage efficiency, Δt is the time step, is the remaining energy storage capacity, P green,i is the green electricity available power at step i in the fourth heating energy consumption curve, T window is the total duration of green electricity surplus, P min is the lower limit of heating power, P maxis the upper limit of heating power, η store is the heat storage efficiency, η0 is the benchmark heat storage efficiency, α is the temperature influence coefficient, ΔT is the temperature difference between the heat storage unit and the environment, C max is the maximum heat storage, S state It is in energy storage state.

[0062] In this embodiment, this equation achieves dynamic adaptation of green electricity supply and heat storage demand. Abandoning the traditional static calculation method, the fourth heating energy consumption curve of the green electricity generation unit is used as the core constraint, so that the working time is accurately matched with the time distribution and power fluctuation of the green electricity output. When there is sufficient green electricity, the operating time is automatically extended, and when the output is insufficient, it is shortened in time to avoid the waste of green electricity or dependence on non-green electricity, significantly improving the utilization rate of green electricity. In addition, the calculation accuracy and engineering practicality are balanced. Key constraints such as the remaining energy storage capacity and the power range of the equipment are retained, and complex nonlinear terms are eliminated. While ensuring the accuracy of the control logic, the calculation complexity is greatly reduced. Ordinary industrial controllers can be solved quickly, which solves the problem that traditional complex models are difficult to implement, and facilitates on-site debugging and promotion.

[0063] The foregoing description describes specific embodiments of the present invention. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims can be performed in an order different from that described in the embodiments and still achieve the desired results. Furthermore, the processes depicted in the accompanying drawings do not necessarily require the specific order shown or the sequential order to achieve the desired results. In certain embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0064] According to another embodiment, the present invention provides a heating peak-shaving control device based on chemical heat storage. Figure 2 A schematic block diagram of a heating peak-shaving control device based on chemical heat storage according to one embodiment is shown. It can be understood that the device can be implemented by any device, equipment, platform and equipment cluster with computing and processing capabilities. The device is applied to a controller of a heating peak-shaving control system based on chemical heat storage. The system includes a controller and a green power generation unit, an electric heating device, a chemical heat storage unit, a heating circulation pump and a heating pipe network connected in sequence. The green power generation unit is connected to the heating circulation pump, and the controller is electrically connected to the green power generation unit, the electric heating device, the chemical heat storage unit and the heating circulation pump, respectively. Figure 2 As shown, the device includes: an acquisition unit 200, a first data processing unit 202, and a second data processing unit 204. The main functions of each component unit are as follows:

[0065] The acquisition unit 200 is configured to, when in the heating peak-shaving mode, acquire a first heating energy consumption curve and a second heating energy consumption curve for the area where the heating pipe network is located within a current time period; wherein the first heating energy consumption curve is a predicted heating energy consumption curve, and the second heating energy consumption curve is an actual heating energy consumption curve;

[0066] The first data processing unit 202 is configured to determine a third heating energy consumption curve based on the first heating energy consumption curve and the second heating energy consumption curve; wherein the third heating energy consumption curve is used to represent the heating energy consumption gap in the area where the heating network is located;

[0067] The second data processing unit 204 is configured to control the chemical heat storage unit and the heating circulation pump based on the third heating energy consumption curve.

[0068] In one embodiment of the present invention, the second data processing unit 204 is configured to perform the following operations:

[0069] Based on the third heating energy consumption curve, determining a plurality of heating gap energy consumption coordinates;

[0070] Based on the plurality of heat supply gap energy consumption coordinates, determining the reaction condition coordinates of the plurality of chemical heat storage units and the speed coordinates of the plurality of heat supply circulation pumps; wherein each of the heat supply gap energy consumption coordinates corresponds to a reaction condition coordinate of the chemical heat storage unit and a speed coordinate of the heat supply circulation pump;

[0071] determining a reaction condition curve based on the plurality of reaction condition coordinates, and determining a rotational speed curve based on the plurality of rotational speed coordinates;

[0072] Based on the reaction condition curve and the rotation speed curve, the reaction condition of the chemical heat storage unit and the rotation speed of the heating circulation pump are controlled in sequence.

[0073] In one embodiment of the present invention, the reaction condition coordinates are determined by the following formula:

[0074] E i =η chem ·S i ·(k T ·T i +k P ·P i +k TP ·T i ·P i +k0)·Δt·exp(-α·T i 2 -β·P i 2 )

[0075]

[0076] Where, t i is the i-th control moment, E i t i Energy consumption of heating gap, η chem is the heat release efficiency of the chemical heat storage unit, S i t i The heat storage state coefficient, k T is the influence coefficient of temperature on heat release power, T i t i The reaction temperature, k P is the influence coefficient of pressure on heat release power, P i t i Reaction pressure, k TP is the influence coefficient of temperature on heat release power, k0 is the reference heat release power, Δt is the control time step, α is the temperature attenuation coefficient, β is the pressure attenuation coefficient, Q max is the maximum heat storage capacity of the heat storage unit, η store is the efficiency of the energy storage process, (t i , E i ) is the energy consumption coordinate of the heating gap, (t i , P i , T i , S i ) is the reaction condition coordinate.

[0077] In one embodiment of the present invention, the rotational speed coordinate is determined by the following formula:

[0078] E i =N pump,i ·c·ρ·Q pump,i ·(θ out,i -θ i )·Δt+γ·n i-1

[0079] θ out,i =θ base +δ·T i

[0080]

[0081] Where N pump,i is the pump efficiency, Q pump,i is the flow rate, a n is the first pump efficiency curve fitting coefficient, b n is the fitting coefficient of the second pump efficiency curve, n i t i Pump speed, c n is the fitting coefficient of the third pump efficiency curve, c is the specific heat capacity of water, ρ is the density of water, kq is the fitting coefficient of the first flow rate and speed relationship, k q′ is the fitting coefficient of the second flow rate and speed relationship, θ out,i t i The outlet water temperature of the heat storage unit, θ i t i The return water temperature of the pipe network, γ is the pump speed hysteresis coefficient, θ base is the base temperature, and δ is the temperature transfer coefficient.

[0082] In one embodiment of the present invention, the first data processing unit 202 is configured to perform the following operations:

[0083] Calculating the moment-by-moment difference between the first heating energy consumption curve and the second heating energy consumption curve to obtain a third heating energy consumption curve;

[0084] The first heating energy consumption curve, the second heating energy consumption curve and the third heating energy consumption curve are all two-dimensional curves with the horizontal axis being time and the vertical axis being heating energy consumption.

[0085] In one embodiment of the present invention, the system further includes a third data processing unit, and the third data processing unit is configured to perform the following operations:

[0086] When in heat storage mode, obtaining the energy storage state of the chemical heat storage unit and the fourth heating energy consumption curve of the green electricity generation unit;

[0087] determining a remaining energy storage capacity of the chemical heat storage unit based on the energy storage state;

[0088] determining the operating time of the electric heating device based on the remaining energy storage capacity and the fourth heating energy consumption curve;

[0089] The heating circulation pump is controlled to operate at low load, and the electric heating equipment is controlled to stop operating after operating for a certain period of time.

[0090] In one embodiment of the present invention, the operating time of the electric heating device is determined by the following formula:

[0091]

[0092] t=k·Δt

[0093] P heat,i ≤P green,i

[0094] t≤T window

[0095] P min ≤P heat,i ≤P max

[0096] η store =η0·(1-α·ΔT 2 )

[0097]

[0098] Where, T is the working time of the electric heating device, k is the number of time steps, P heat,i is the heating power of step i, η store is the heat storage efficiency, Δt is the time step, is the remaining energy storage capacity, P green,i is the green electricity available power in step i of the fourth heating energy consumption curve, T window is the total duration of green electricity surplus, P min is the lower limit of heating power, P max is the upper limit of heating power, η store is the heat storage efficiency, η0 is the benchmark heat storage efficiency, α is the temperature influence coefficient, ΔT is the temperature difference between the heat storage unit and the environment, C max is the maximum heat storage, S state is the energy storage state.

[0099] According to another embodiment, Figure 3 A schematic block diagram of a heating peak-shaving control system based on chemical heat storage according to an embodiment is shown. The system includes the controller and a green power generation unit, an electric heating device, a chemical heat storage unit, a heating circulation pump, and a heating pipe network connected in sequence. The green power generation unit is connected to the heating circulation pump, and the controller is electrically connected to the green power generation unit, the electric heating device, the chemical heat storage unit, and the heating circulation pump respectively. When the controller executes the executable code, it causes the computer to execute the combined Figure 1 The method described.

[0100] According to another embodiment, an electronic device is provided, comprising a memory and a processor, wherein the memory stores an executable code, and when the processor executes the executable code, the system realizes the combination of Figure 1 The method described.

[0101] The various embodiments of the present invention are described in a progressive manner. Similar portions between the various embodiments can be referred to in conjunction with each other. Each embodiment focuses on the differences between the other embodiments. In particular, the device embodiments are described briefly because they are generally similar to the method embodiments. For relevant portions, refer to the description of the method embodiments.

[0102] Those skilled in the art will appreciate that, in one or more of the above examples, the functions described herein may be implemented using hardware, software, firmware, or any combination thereof. When implemented using software, these functions may be stored in a computer-readable medium or transmitted as one or more instructions or codes on a computer-readable medium.

[0103] The specific implementation methods described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific implementation method of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent replacements, improvements, etc. made on the basis of the technical solution of the present invention should be included in the scope of protection of the present invention.

Claims

1. A heating peak-shaving control method based on chemical heat storage, characterized in that: The method is applied to a controller of a heating peak-shaving control system based on chemical heat storage. The system includes the controller and a green electricity generation unit, an electric heating device, a chemical heat storage unit, a heating circulation pump, and a heating pipe network connected in sequence. The green electricity generation unit is connected to the heating circulation pump, and the controller is electrically connected to the green electricity generation unit, the electric heating device, the chemical heat storage unit, and the heating circulation pump, respectively. The method includes: When in the heating peak-shaving mode, obtain a first heating energy consumption curve and a second heating energy consumption curve for the area where the heating pipe network is located in the current time period; wherein the first heating energy consumption curve is a predicted heating energy consumption curve, and the second heating energy consumption curve is an actual heating energy consumption curve; Determining a third heating energy consumption curve based on the first heating energy consumption curve and the second heating energy consumption curve; wherein the third heating energy consumption curve is used to represent the heating energy consumption gap in the area where the heating pipe network is located; Based on the third heating energy consumption curve, the chemical heat storage unit and the heating circulation pump are controlled.

2. The method according to claim 1, characterized in that The controlling of the chemical heat storage unit and the heating circulation pump based on the heating energy consumption fluctuation curve includes: Based on the third heating energy consumption curve, determining a plurality of heating gap energy consumption coordinates; Based on the plurality of heat supply gap energy consumption coordinates, determining the reaction condition coordinates of the plurality of chemical heat storage units and the speed coordinates of the plurality of heat supply circulation pumps; wherein each of the heat supply gap energy consumption coordinates corresponds to a reaction condition coordinate of the chemical heat storage unit and a speed coordinate of the heat supply circulation pump; determining a reaction condition curve based on the plurality of reaction condition coordinates, and determining a rotational speed curve based on the plurality of rotational speed coordinates; Based on the reaction condition curve and the rotation speed curve, the reaction condition of the chemical heat storage unit and the rotation speed of the heating circulation pump are controlled in sequence.

3. The method according to claim 2, characterized in that The reaction condition coordinates are determined by the following formula: E i =η chem ·S i ·(k T ·T i +k P ·P i +k TP ·T i ·P i +k0)·Δt·exp(-α·T i 2 -β·P i 2 ) Where, t i is the i-th control moment, E i t i Energy consumption of heating gap, η chem is the heat release efficiency of the chemical heat storage unit, S i t i The heat storage state coefficient, k T is the influence coefficient of temperature on heat release power, T i t i The reaction temperature, k P is the influence coefficient of pressure on heat release power, P i t i Reaction pressure, k TP is the influence coefficient of temperature on heat release power, k0 is the reference heat release power, Δt is the control time step, α is the temperature attenuation coefficient, β is the pressure attenuation coefficient, Q max is the maximum heat storage capacity of the heat storage unit, η store is the efficiency of the energy storage process, (t i , E i ) is the energy consumption coordinate of the heating gap, (t i , P i , T i , S i ) is the reaction condition coordinate.

4. The method according to claim 3, characterized in that The speed coordinate is determined by the following formula: E i =N pump,i ·c·ρ·Q pump,i ·(θ out,i -θ i )·Δt+γ·n i-1 i out,i =θ base +δ·T i Where N pump,i is the pump efficiency, Q pump,i is the flow rate, a n is the first pump efficiency curve fitting coefficient, b n is the fitting coefficient of the second pump efficiency curve, n i t i Pump speed, c n is the fitting coefficient of the third pump efficiency curve, c is the specific heat capacity of water, ρ is the density of water, k q is the fitting coefficient of the first flow rate and speed relationship, k q′ is the fitting coefficient of the second flow rate and speed relationship, θ out,i t i The outlet water temperature of the heat storage unit, θ i t i The return water temperature of the pipe network, γ is the pump speed hysteresis coefficient, θ base is the base temperature, and δ is the temperature transfer coefficient.

5. The method according to claim 1, wherein The determining of a third heating energy consumption curve based on the first heating energy consumption curve and the second heating energy consumption curve includes: Calculating the moment-by-moment difference between the first heating energy consumption curve and the second heating energy consumption curve to obtain a third heating energy consumption curve; The first heating energy consumption curve, the second heating energy consumption curve and the third heating energy consumption curve are all two-dimensional curves with the horizontal axis being time and the vertical axis being heating energy consumption.

6. The method according to claim 1, wherein Also includes: When in heat storage mode, obtaining the energy storage state of the chemical heat storage unit and the fourth heating energy consumption curve of the green electricity generation unit; determining a remaining energy storage capacity of the chemical heat storage unit based on the energy storage state; determining the operating time of the electric heating device based on the remaining energy storage capacity and the fourth heating energy consumption curve; The heating circulation pump is controlled to operate at low load, and the electric heating equipment is controlled to stop operating after operating for a certain period of time.

7. The method according to claim 6, characterized in that The working time of the electric heating device is determined by the following formula: t=k·Δt P heat,i ≤P green,i t≤T window P min ≤P heat,i ≤P max or store =η0·(1-α·ΔT 2 ) Where, T is the working time of the electric heating device, k is the number of time steps, P heat,i is the heating power of step i, η store is the heat storage efficiency, Δt is the time step, is the remaining energy storage capacity, P green,i is the green electricity available power in step i of the fourth heating energy consumption curve, T window is the total duration of green electricity surplus, P min is the lower limit of heating power, P max is the upper limit of heating power, η store is the heat storage efficiency, η0 is the benchmark heat storage efficiency, α is the temperature influence coefficient, ΔT is the temperature difference between the heat storage unit and the environment, C max is the maximum heat storage, S state is the energy storage state.

8. A heating peak-shaving control device based on chemical heat storage, characterized in that: The device is applied to a controller of a heating peak-shaving control system based on chemical heat storage. The system includes the controller and a green electricity generation unit, an electric heating device, a chemical heat storage unit, a heating circulation pump, and a heating pipe network connected in sequence. The green electricity generation unit is connected to the heating circulation pump, and the controller is electrically connected to the green electricity generation unit, the electric heating device, the chemical heat storage unit, and the heating circulation pump respectively. The device includes: an acquisition unit configured to, when in a heating peak-shaving mode, acquire a first heating energy consumption curve and a second heating energy consumption curve for the area where the heating pipe network is located within a current time period; wherein the first heating energy consumption curve is a predicted heating energy consumption curve, and the second heating energy consumption curve is an actual heating energy consumption curve; The first data processing unit is configured to determine a third heating energy consumption curve based on the first heating energy consumption curve and the second heating energy consumption curve; wherein the third heating energy consumption curve is used to represent the heating energy consumption gap in the area where the heating pipe network is located; The second data processing unit is configured to control the chemical heat storage unit and the heating circulation pump based on the third heating energy consumption curve.

9. An electronic device, characterized in that: The method comprises a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the method according to any one of claims 1 to 7 is implemented.

10. A heating peak-shaving control system based on chemical heat storage, characterized in that: The system includes a controller and a green electricity generation unit, an electric heating device, a chemical heat storage unit, a heat supply circulation pump, and a heat supply pipeline network connected in sequence. The green electricity generation unit is connected to the heat supply circulation pump. The controller is electrically connected to the green electricity generation unit, the electric heating device, the chemical heat storage unit, and the heat supply circulation pump, respectively. The controller is used to execute the method according to any one of claims 1 to 7.

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