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

Abstract

The present application relates to the technical field of chemical heat storage, and particularly relates to a heat supply peak regulation control method and device based on chemical heat storage. The method comprises the following steps: when in a heat supply peak regulation mode, firstly, two types of key energy consumption curves of a heat supply pipe network coverage area in a current time period are obtained, a first heat supply energy consumption curve and a second heat supply energy consumption curve. Through difference operation on the two curves, a third heat supply energy consumption curve for representing a heat supply energy consumption gap of the area is determined. Finally, based on the third heat supply energy consumption curve, the heat release process of the chemical heat storage unit and the operation parameters of the heat supply circulating pump are cooperatively controlled. In this way, the present application can realize dynamic adaptation of the chemical heat storage unit and the system, and significantly improve the energy utilization efficiency of the chemical heat storage.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of chemical heat storage, in particular to a heat supply peak shaving control method and device based on chemical heat storage. BACKGROUND

[0002] Under the global energy low-carbon transformation and "double carbon" target promotion, the efficient and low-carbon transformation of the heat supply system becomes the key. The traditional heat supply system relies on fossil energy, and the response to load fluctuation is lagging, often appearing problems such as insufficient supply of high-peak heat and waste of low-valley energy, heat loss rate exceeding 15%, and large carbon emissions. With the increasing proportion of green electricity such as wind power and photovoltaic power, the time mismatching problem between the "intermittency and volatility" of green electricity and the heat supply demand is highlighted. The high output of green electricity (such as midday photovoltaic and night wind power) often overlaps with the low heat supply, resulting in an electricity abandonment rate of 3% to 10%; while the output of green electricity is insufficient at the heat supply peak, fossil energy still needs to be relied on, which not only wastes clean electricity, but also increases the pressure of power grid peak shaving - the heat supply load accounts for 20% to 30% of the city's electricity consumption in winter, but due to the lack of heat storage means, it cannot become a "flexible load" of the power grid. Heat storage technology is the key to breaking the situation.

[0003] However, the application of chemical heat storage is limited by the lack of regulation and control, and the heat storage / heat release involves multi-physical field coupling. The traditional control strategy cannot balance the efficiency and accuracy, resulting in actual energy efficiency of less than 60%, which is far lower than the theoretical value. Therefore, an intelligent heat supply peak shaving method is needed to release the potential of chemical heat storage.

[0004] Based on this, the present application provides a heat supply peak shaving control method and device based on chemical heat storage to solve the above technical problems. SUMMARY

[0005] The present application describes a heat supply peak shaving 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 application provides a heat supply peak shaving control method based on chemical heat storage. The method is applied to a controller of a heat supply 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 heat supply circulating pump and a heat supply pipe network connected in sequence. The green power generation unit is connected to the heat supply circulating pump. The controller is electrically connected to the green power generation unit, the electric heating device, the chemical heat storage unit and the heat supply circulating pump respectively. The method comprises:

[0007] When in the heat supply peak shaving mode, a first heat supply energy consumption curve and a second heat supply energy consumption curve of an area where the heat supply pipe network is located in a current time period are acquired; wherein the first heat supply energy consumption curve is a predicted heat supply energy consumption curve, and the second heat supply energy consumption curve is an actual heat supply energy consumption curve;

[0008] determine a third heat supply energy consumption curve based on the first heat supply energy consumption curve and the second heat supply energy consumption curve, wherein the third heat supply energy consumption curve is used to represent a heat supply energy consumption gap in the region where the heat supply pipe network is located;

[0009] control the chemical heat storage unit and the heat supply circulating pump based on the third heat supply energy consumption curve.

[0010] According to a second aspect, the present application provides a chemical heat storage based heat supply peak shaving control device, which is applied to a controller of a chemical heat storage based heat supply peak shaving control system, the system comprising the controller and a green electricity generation unit, an electric heating device, a chemical heat storage unit, a heat supply circulating pump and a heat supply pipe network connected in sequence, the green electricity generation unit being connected to the heat supply circulating pump, the controller being electrically connected to the green electricity generation unit, the electric heating device, the chemical heat storage unit and the heat supply circulating pump respectively, and the device comprising:

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

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

[0013] a second data processing unit configured to control the chemical heat storage unit and the heat supply circulating pump based on the third heat supply energy consumption curve.

[0014] In a third aspect, the embodiments of the present specification also provide an electronic device comprising a memory and a processor, the memory storing a computer program, and the processor executes the computer program to implement the method described in any of the embodiments of the present specification.

[0015] In a fourth aspect, the embodiments of the present specification also provide a chemical heat storage based heat supply peak shaving control system, which comprises a controller and a green electricity generation unit, an electric heating device, a chemical heat storage unit, a heat supply circulating pump and a heat supply pipe network connected in sequence, the green electricity generation unit being connected to the heat supply circulating pump, the controller being electrically connected to the green electricity generation unit, the electric heating device, the chemical heat storage unit and the heat supply circulating pump respectively, and the controller being used to execute the method described in any of the embodiments of the present specification.

[0016] The heat supply peak shaving control method and device based on chemical heat storage provided by the application, when the system is in a heat supply peak shaving mode, first acquires two types of key energy consumption curves of a heat supply pipe network coverage area in a current time period, a first heat supply energy consumption curve (i.e. a predicted heat supply energy consumption curve) and a second heat supply energy consumption curve (i.e. an actual heat supply energy consumption curve). Through difference operation on the two curves, a third heat supply energy consumption curve for accurately representing a heat supply energy consumption gap of the area is determined. Finally, the exothermic process of the chemical heat storage unit and the operating parameters of the heat supply circulating pump are cooperatively controlled based on the third heat supply energy consumption curve. In this way, the application can realize dynamic adaptation of the chemical heat storage unit and the system, and significantly improve the energy utilization efficiency of the chemical heat storage. BRIEF DESCRIPTION OF DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or the prior art description. Obviously, the drawings in the following description are some embodiments of the application, and for those skilled in the art, other drawings can also be obtained without creative labor based on these drawings.

[0018] Figure 1 A flowchart of a heat supply peak shaving control method based on chemical heat storage according to an embodiment is shown;

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

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

[0021] The schemes provided by the application will be described below in combination with the drawings.

[0022] Figure 1 A flowchart of a heat supply peak shaving control method based on chemical heat storage according to an embodiment is shown. It can be understood that the method can be executed by any device, equipment, platform, device cluster with computing and processing capabilities. The heat supply peak shaving control method based on chemical heat storage is applied to a controller of a heat supply peak shaving control system based on chemical heat storage, the system including the controller and a green electricity generation unit, an electric heating device, a chemical heat storage unit, a heat supply circulating pump and a heat supply pipe network connected in sequence, the green electricity generation unit and the heat supply circulating pump being connected, the controller being electrically connected with the green electricity generation unit, the electric heating device, the chemical heat storage unit and the heat supply circulating pump, as shown in Figure 1 The method includes:

[0023] Step 100, when in the heat supply peak shaving mode, acquiring a first heat supply energy consumption curve and a second heat supply energy consumption curve in a region where a heat supply pipe network is located in a current time period; wherein the first heat supply energy consumption curve is a predicted heat supply energy consumption curve, and the second heat supply energy consumption curve is an actual heat supply energy consumption curve;

[0024] Step 102, determining a third heat supply energy consumption curve based on the first heat supply energy consumption curve and the second heat supply energy consumption curve; wherein the third heat supply energy consumption curve is used to represent a heat supply energy consumption gap in the region where the heat supply pipe network is located;

[0025] Step 104, controlling the chemical heat storage unit and the heat supply circulating pump based on the third heat supply energy consumption curve.

[0026] In the embodiment, when the system is in the heat supply peak shaving mode, first, two types of key energy consumption curves of the region covered by the heat supply pipe network in the current time period are acquired, that is, the first heat supply energy consumption curve (that is, the predicted heat supply energy consumption curve) and the second heat supply energy consumption curve (that is, the actual heat supply energy consumption curve). Through difference operation on the two curves, the third heat supply energy consumption curve used to accurately represent the heat supply energy consumption gap of the region is determined. Finally, the heat release process of the chemical heat storage unit and the operating parameter of the heat supply circulating pump are cooperatively controlled based on the third heat supply energy consumption curve. In this way, the dynamic adaptation of the chemical heat storage unit and the system can be realized, and the energy utilization efficiency of the chemical heat storage can be significantly improved.

[0027] In an embodiment of the present application, the chemical heat storage unit and the heat supply circulating pump are controlled based on the heat supply energy consumption fluctuation curve, including:

[0028] Based on the third heat supply energy consumption curve, a plurality of heat supply gap energy consumption coordinates are determined;

[0029] Based on the plurality of heat supply gap energy consumption coordinates, reaction condition coordinates of a plurality of chemical heat storage units and rotating speed coordinates of a plurality of heat supply circulating pumps are determined; wherein each heat supply gap energy consumption coordinate corresponds to a reaction condition coordinate of a chemical heat storage unit and a rotating speed coordinate of a heat supply circulating pump;

[0030] Based on the plurality of reaction condition coordinates, a reaction condition curve is determined, and based on the plurality of rotating speed coordinates, a rotating speed curve is determined;

[0031] Based on the reaction condition curve and the rotating speed curve, the reaction condition of the chemical heat storage unit and the rotating speed of the heat supply circulating pump are controlled in sequence.

[0032] In the present embodiment, first, based on the third heat supply energy consumption curve (i.e. the heat supply energy gap curve), a plurality of key heat supply gap energy coordinates are extracted through time axis discretization processing. These coordinates take time as the horizontal axis and the gap energy value as the vertical axis, and accurately mark the heat scale that needs to be supplemented at different times. Subsequently, for each heat supply gap energy coordinate, the corresponding control parameter is matched: on the one hand, the reaction condition coordinates (including temperature, pressure) of the chemical heat storage unit are generated, and on the other hand, the speed coordinates of the heat supply circulating pump are determined. This one-to-one mapping relationship ensures the accurate matching of heat supplement demand and equipment operating state. On this basis, the discrete reaction condition coordinates and speed coordinates are fitted into continuous reaction condition curve and speed curve respectively. These two curves smoothly connect the control parameters at each time, avoiding the mutation of the equipment operating state. Finally, the controller adjusts the reaction environment of the chemical heat storage unit (such as adjusting the heating power through the temperature control module and adjusting the pressure through the pressure valve) according to the reaction condition curve, and dynamically controls the motor frequency of the heat supply circulating pump according to the speed curve, realizing the coordinated operation of the two. Through this control logic, the exothermic process of the chemical heat storage unit and the heat delivery of the pipe network form a closed loop linkage, which can quickly fill the heat supply gap and avoid energy waste, further improving the energy efficiency ratio and operation stability of the chemical heat storage system.

[0033] In an embodiment of the present application, 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] In the formula, t i is the i-th control time, E i is the heat supply gap energy at t i , η chem is the exothermic efficiency of the chemical heat storage unit, S i is the heat storage state coefficient at t i , k T is the temperature influence coefficient on the exothermic power, T i is the reaction temperature at t i , kP P is the coefficient of pressure on heat release power i P is the reaction pressure, k i TP P is the coefficient of temperature on heat release power, k0 is the base heat release power, Δt is the control time step, α is the temperature decay coefficient, β is the pressure decay coefficient, Q max P is the maximum heat storage of the heat storage unit, η store P is the energy storage process efficiency, (t i , E i ) is the heating gap energy consumption coordinate, (t i , P i , T i , S i ) is the reaction condition coordinate.

[0037] In this embodiment, the conventional model usually only considers the influence of a single variable of temperature or pressure on energy storage and heat release, while the equation set realizes three-dimensional coordinated control of temperature, pressure and material heat storage state through coupling terms k TP ·T i ·P i and state coefficient S i . For example, when the material is close to exhaustion (the state coefficient tends to zero), the system automatically increases the temperature / pressure to compensate for the heat release efficiency, avoiding the lack of heating caused by ignoring material attenuation in traditional control. At the same time, the term exp(-α·T i 2 -β·P i 2 ) introduces the high temperature / high pressure decay characteristics of chemical energy storage materials for the first time, avoiding the risk of out-of-control of the traditional linear model under extreme conditions. For example, when the temperature exceeds the critical value of the material, the exponential term quickly approaches 0, forcibly limiting parameter growth and protecting equipment safety. The dynamic tracking of the heat storage state is realized, so that the control system can adjust the strategy in real time according to the remaining capacity of the material.

[0038] In an embodiment of the present application, 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] In the formula, N pump,i For pump efficiency, Q pump,i For traffic, a n b is the fitting coefficient for the efficiency curve of the first pump. n n represents the fitting coefficient for the efficiency curve of the second pump. i For t i The pump speed, c n ρ is the fitting coefficient for the efficiency curve of the third pump, c is the specific heat capacity of water, ρ is the density of water, and k is the specific heat capacity of water. q k is the fitting coefficient for the first flow rate-speed relationship. q′ θ is the fitting coefficient for the second flow rate-speed relationship. out,i For t i The outlet water temperature of the thermal storage unit, θ i For t i The return water temperature of the pipe network, γ is the pump speed lag coefficient, θ base The base temperature is δ, where δ is the temperature transfer coefficient.

[0043] In this embodiment, θ out,i =θ base +δ·T i By directly mapping the reaction temperature of the chemical thermal storage unit to the inlet and outlet temperature difference of the circulating pump, integrated control of "thermal storage-transmission" is achieved. This cross-device parameter linkage overcomes the limitations of independent adjustment of each device in traditional control, improving the overall energy efficiency of the system. i-1 This design considers the inertial delay of the fluid system to avoid hydraulic oscillations caused by excessively fast response in traditional PID control. In practical applications, this modification can reduce pipeline pressure fluctuations by more than 50% and extend pipeline service life. The base temperature, which is seasonal, 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 lag coefficient is taken as 0.1 to 0.3, and the temperature transfer coefficient is taken as 0.6.

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

[0045] The third heating energy consumption curve is obtained by calculating the time-by-time difference between the first heating energy consumption curve and the second heating energy consumption curve.

[0046] The first heat supply energy consumption curve, the second heat supply energy consumption curve and the third heat supply energy consumption curve are two-dimensional curves with the horizontal axis as time and the vertical axis as heat supply energy consumption.

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

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

[0049] Based on the energy storage state, the residual energy storage capacity of the chemical heat storage unit is determined;

[0050] Based on the residual energy storage capacity and the fourth heat supply energy consumption curve, the working time length of the electric heating device is determined;

[0051] The heat supply circulating pump is controlled to run at low load, and the electric heating device is controlled to stop running after running according to the working time length.

[0052] In this embodiment, firstly, the current energy storage status of the chemical thermal storage unit and the fourth heating energy consumption curve of the green electricity generation unit are acquired in real time. The energy storage status reflects the current thermal storage capacity of the chemical thermal storage unit, while the fourth heating energy consumption curve reflects the energy available for thermal storage from the green electricity generation unit at different times. Next, based on the acquired energy storage status, the remaining energy storage capacity of the chemical thermal storage unit is calculated, which visually represents the maximum energy that the chemical thermal storage unit can still store. Then, combining the remaining energy storage capacity and the fourth heating energy consumption curve, the operating time of the electric heating equipment is determined. This process requires comprehensive consideration of the supply period and energy level of green electricity to ensure that, when green electricity is sufficient, the remaining energy storage capacity is filled without wasting green electricity. Finally, according to the determined operating time, the electric heating equipment is controlled to operate, while the heating circulation pump is controlled to operate at a low load. When the electric heating equipment completes its operating time, it is controlled to stop operating. This control method allows for full utilization of green electricity resources during the thermal storage phase, improving the utilization rate of green electricity while reducing unnecessary energy consumption, further optimizing the overall performance of the chemical thermal 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] In the formula, T is the working time of the electric heating equipment, k is the number of time steps, and P is the operating time of the electric heating equipment. heat,i Let η be the heating power in step i. store The thermal storage efficiency is given by Δt, where Δt is the time step. For the remaining energy storage capacity, P green,i T represents the available green electricity power at step i in the fourth heating energy consumption curve. window For the total duration of green electricity surplus, P min P is the lower limit of heating power. maxη is the upper limit of heating power. store The thermal storage efficiency is given by η0, the baseline thermal storage efficiency is given by α, the temperature influence coefficient is given by ΔT, and the temperature difference between the thermal storage unit and the environment is given by C. max To maximize heat storage, S state It is in energy storage mode.

[0062] In this embodiment, the equation achieves dynamic adaptation between green electricity supply and thermal energy storage demand. Abandoning traditional static calculation methods, it uses the fourth thermal energy consumption curve of the green electricity generation unit as the core constraint, ensuring that the operating time precisely matches the time distribution and power fluctuations of green electricity output. When green electricity is abundant, the operating time is automatically extended; when output is insufficient, it is promptly shortened, avoiding waste of green electricity or reliance on non-green electricity and significantly improving green electricity utilization. Furthermore, it balances calculation accuracy with engineering practicality. Key constraints such as remaining energy storage capacity and equipment power range are retained, while complex nonlinear terms are eliminated, significantly reducing computational complexity while ensuring accurate control logic. Ordinary industrial controllers can quickly solve the problem, solving the difficulty of implementing traditional complex models and facilitating on-site debugging and promotion.

[0063] The foregoing has described specific embodiments of the invention. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps described in the claims may be performed in a different order than that shown in the embodiments and may still achieve the desired results. Furthermore, the processes depicted in the drawings do not necessarily require the specific or sequential order shown to achieve the desired results. In some 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 thermal storage. Figure 2 A schematic block diagram of a heating peak-shaving control device based on chemical thermal storage is shown according to one embodiment. It is understood that this device can be implemented by any device, equipment, platform, or cluster of devices with computing and processing capabilities. The device is applied to the controller of a heating peak-shaving control system based on chemical thermal storage. The system includes a controller and, in sequence, a green electricity generation unit, an electric heating device, a chemical thermal storage unit, a heating circulation pump, and a heating pipe network. The green electricity generation unit and the heating circulation pump are connected. The controller is electrically connected to the green electricity generation unit, the electric heating device, the chemical thermal 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 are as follows:

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

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

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

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

[0069] Determine a plurality of heat supply gap energy consumption coordinates based on the third heat supply energy consumption curve;

[0070] Determine a plurality of reaction condition coordinates of the chemical heat storage units and a plurality of rotating speed coordinates of the heat supply circulating pumps based on the plurality of heat supply gap energy consumption coordinates; each of the heat supply gap energy consumption coordinates corresponds to one of the reaction condition coordinates of the chemical heat storage units and one of the rotating speed coordinates of the heat supply circulating pumps;

[0071] Determine a reaction condition curve based on the plurality of reaction condition coordinates and determine a rotating speed curve based on the plurality of rotating speed coordinates;

[0072] Control the reaction condition of the chemical heat storage unit and the rotating speed of the heat supply circulating pump based on the reaction condition curve and the rotating speed curve.

[0073] In an embodiment of the present application, the reaction condition coordinate is 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] wherein t i is the i-th control time, E i is the heat supply gap energy consumption at t i , η chem is the heat release efficiency of the chemical heat storage unit, S i is the heat storage state coefficient at t i , k T is the temperature influence coefficient on the heat release power, T i is the reaction temperature at t i , k P is the pressure influence coefficient on the heat release power, P i is the reaction pressure at t i , k TP is the temperature influence coefficient on the heat release power, k0 is the base heat release power, Δt is the control time step, α is the temperature decay coefficient, β is the pressure decay coefficient, Q max is the maximum heat storage amount of the heat storage unit, η store is the energy storage process efficiency, (t i , E i ) is the heat supply gap energy consumption coordinate, (t i , P i , T i , S i ) is the reaction condition coordinate.

[0077] In an embodiment of the present application, the rotation 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] wherein N pump,i is the pump efficiency, Q pump,i is the flow, a n is the first pump efficiency curve fitting coefficient, b n is the second pump efficiency curve fitting coefficient, n i is the pump rotation speed at t i , c n is the third pump efficiency curve fitting coefficient, c is the specific heat capacity of water, ρ is the density of water, kq k is a fitting coefficient of the first flow-speed relationship q′ θ is a fitting coefficient of the second flow-speed relationship out,i θ is the outlet water temperature of the heat storage unit at t i θ is the outlet water temperature of the heat storage unit at t i γ is the pump speed lag coefficient, and θ is the pipe network return water temperature at t i θ is the pipe network return water temperature at t base θ is the base temperature, and δ is the temperature transfer coefficient.

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

[0083] The first heat supply energy consumption curve and the second heat supply energy consumption curve are calculated by time difference to obtain a third heat supply energy consumption curve.

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

[0085] In an embodiment of the present application, the system further comprises a third data processing unit, which is configured to perform the following operations:

[0086] When in the heat storage mode, the energy storage state of the chemical heat storage unit and a fourth heat supply energy consumption curve of the green electricity generation unit are obtained.

[0087] Based on the energy storage state, the remaining energy storage capacity of the chemical heat storage unit is determined.

[0088] Based on the remaining energy storage capacity and the fourth heat supply energy consumption curve, the working duration of the electric heating device is determined.

[0089] The heat supply circulating pump is controlled to operate at low load, and the electric heating device is controlled to stop operating after operating for the working duration.

[0090] In an embodiment of the present application, the working duration 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] wherein T is the working time length of the electric heating device, k is the time step number, P heat,i is the heating power of the i th step, η store is the heat storage efficiency, Δt is the time step length, is the remaining energy storage capacity, P green,i is the green electricity available power of the i th step in the fourth heat supply energy consumption curve, T window is the total time length 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 baseline 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 amount, S state is the energy storage state.

[0099] According to another aspect, embodiments, Figure 3 a schematic block diagram of a heat supply peak shaving control system based on chemical heat storage according to an embodiment is shown, the system comprising the controller and a green electricity generation unit, an electric heating device, a chemical heat storage unit, a heat supply circulating pump and a heat supply pipe network connected in sequence, the green electricity generation unit and the heat supply circulating pump being connected, the controller being electrically connected with the green electricity generation unit, the electric heating device, the chemical heat storage unit and the heat supply circulating pump respectively, and when the controller executes the executable code, the computer executes the method described in combination Figure 1 with the embodiments.

[0100] According to still another aspect, embodiments, an electronic device is also provided, comprising a memory and a processor, the memory storing executable code, and the processor executing the executable code to implement the method described in combination Figure 1 with the embodiments.

[0101] Each of the embodiments in the present application is described in a progressive manner, and the same and similar parts between the embodiments can be referred to each other, and each embodiment mainly explains the difference from other embodiments. Especially, for the device embodiments, since they are basically similar to the method embodiments, they are described more simply, and the related parts can be referred to the part of the method embodiments.

[0102] Those skilled in the art should understand that, in one or more examples described above, the functions described in the present application can be implemented by hardware, software, firmware or any combination thereof. When implemented by software, these functions can be stored in a computer readable medium or transmitted as one or more instructions or codes on a computer readable medium.

[0103] The above detailed description sets forth the purpose, technical solutions and beneficial effects of the present application. It should be understood that the above detailed description is only a specific embodiment of the present application and is not used to limit the protection scope of the present application. Any modification, equivalent replacement, improvement, etc. made on the basis of the technical solutions of the present application shall be included in the protection scope of the present application.

Claims

1. A heat supply peak shaving control method based on chemical heat storage, characterized in that, The method is applied to a controller of a heat supply peak shaving control system based on chemical heat storage, the system comprising the controller and a green electricity generation unit, an electric heating device, a chemical heat storage unit, a heat supply circulating pump and a heat supply pipe network connected in sequence, the green electricity generation unit being connected with the heat supply circulating pump, the controller being electrically connected with the green electricity generation unit, the electric heating device, the chemical heat storage unit and the heat supply circulating pump respectively, and the method comprising: When in a heat supply peak shaving mode, a first heat supply energy consumption curve and a second heat supply energy consumption curve of a region where a heat supply pipe network is located in a current time period are acquired; wherein the first heat supply energy consumption curve is a predicted heat supply energy consumption curve, and the second heat supply energy consumption curve is an actual heat supply energy consumption curve; Based on the first heat supply energy consumption curve and the second heat supply energy consumption curve, a third heat supply energy consumption curve is determined; wherein the third heat supply energy consumption curve is used to represent a heat supply energy consumption gap in the region where the heat supply pipe network is located; Based on the third heat supply energy consumption curve, the chemical heat storage unit and the heat supply circulating pump are controlled; The control of the chemical heat storage unit and the heat supply circulating pump based on the heat supply energy consumption fluctuation curve comprises: Based on the third heat supply energy consumption curve, a plurality of heat supply gap energy consumption coordinates are determined; Based on a plurality of the heat supply gap energy consumption coordinates, a plurality of reaction condition coordinates of the chemical heat storage unit and a plurality of rotating speed coordinates of the heat supply circulating pump are determined; wherein each of the heat supply gap energy consumption coordinates corresponds to one of the reaction condition coordinates of the chemical heat storage unit and one of the rotating speed coordinates of the heat supply circulating pump; Based on a plurality of the reaction condition coordinates, a reaction condition curve is determined, and based on a plurality of the rotating speed coordinates, a rotating speed curve is determined; Based on the reaction condition curve and the rotating speed curve, the reaction condition of the chemical heat storage unit and the rotating speed of the heat supply circulating pump are controlled in sequence.

2. The method of claim 1, wherein, The reaction condition coordinate is determined by the following formula: In the formula, is the i-th control time, is the heat gap energy consumption of the chemical heat storage unit, is the exothermic efficiency of the chemical heat storage unit, is the heat storage state coefficient, is the temperature influence coefficient on the exothermic power, is the reaction temperature, is the pressure influence coefficient on the exothermic power, is the reaction pressure, is the temperature influence coefficient on the exothermic power, is the reference exothermic power, is the control time step, is the temperature decay coefficient, is the pressure decay coefficient, is the maximum heat storage amount of the heat storage unit, is the energy storage process efficiency, , is the heat gap energy consumption coordinate, , , , is the reaction condition coordinate.

3. The method of claim 2, wherein, The rotating speed coordinate is determined by the following formula: wherein is the pump efficiency, is the flow rate, is the first pump efficiency curve fitting coefficient, is the second pump efficiency curve fitting coefficient, is the pump speed, is the third pump efficiency curve fitting coefficient, is the specific heat capacity of water, is the density of water, is the first flow rate to speed relationship fitting coefficient, is the second flow rate to speed relationship fitting coefficient, is the heat storage unit outlet water temperature, is the pipe network return water temperature, is the pump speed lag coefficient, is the base temperature, is the temperature transfer coefficient.

4. The method of claim 1, wherein, The determination of the third heat supply energy consumption curve based on the first heat supply energy consumption curve and the second heat supply energy consumption curve comprises: The first heat supply energy consumption curve and the second heat supply energy consumption curve are calculated by time difference to obtain the third heat supply energy consumption curve; Wherein, the first heat supply energy consumption curve, the second heat supply energy consumption curve and the third heat supply energy consumption curve are all two-dimensional curves with time as the horizontal axis and heat supply energy consumption as the vertical axis.

5. The method of claim 1, wherein, Further comprising: When in a heat storage mode, an energy storage state of the chemical heat storage unit and a fourth heat supply energy consumption curve of the green electricity generation unit are acquired; Based on the energy storage state, a residual energy storage capacity of the chemical heat storage unit is determined; Based on the residual energy storage capacity and the fourth heat supply energy consumption curve, a working time length of the electric heating device is determined; The heat supply circulating pump is controlled to run at low load, and the electric heating device is controlled to stop running after running for the working time length.

6. The method of claim 5, wherein, The working time length of the electric heating device is determined by the following formula: wherein, is the working time length of the electric heating device, k is the time step number, is the heating power of the i-th step, is the heat storage efficiency, is the time step length, is the remaining energy storage capacity, is the green electricity available power of the i-th step in the fourth heat supply energy consumption curve, is the total length of green electricity surplus, is the lower limit of heating power, is the upper limit of heating power, is the heat storage efficiency, is the reference heat storage efficiency, is the temperature influence coefficient, is the temperature difference between the heat storage unit and the environment, is the maximum heat storage amount, is the energy storage state.

7. A chemical heat storage-based heat supply peak shaving control device, characterized by, The device is applied to a controller of a chemical heat storage-based heat supply peak shaving control system, the system comprising the controller and a green electricity generation unit, an electric heating device, a chemical heat storage unit, a heat supply circulating pump and a heat supply pipe network connected in sequence, the green electricity generation unit being connected with the heat supply circulating pump, the controller being electrically connected with the green electricity generation unit, the electric heating device, the chemical heat storage unit and the heat supply circulating pump respectively, and the device comprising: The acquisition unit is configured to acquire a first heat supply energy consumption curve and a second heat supply energy consumption curve in a region where the heat supply pipe network is located in a current time period when in a heat supply peak shaving mode; wherein the first heat supply energy consumption curve is a predicted heat supply energy consumption curve, and the second heat supply energy consumption curve is an actual heat supply energy consumption curve; The first data processing unit is configured to determine a third heat supply energy consumption curve based on the first heat supply energy consumption curve and the second heat supply energy consumption curve; wherein the third heat supply energy consumption curve is used to represent a heat supply energy consumption gap in the region where the heat supply pipe network is located; The second data processing unit is configured to control the chemical heat storage unit and the heat supply circulating pump based on the third heat supply energy consumption curve; The second data processing unit is configured to perform the following operations: Determine a plurality of heat supply gap energy consumption coordinates based on the third heat supply energy consumption curve; Determine a plurality of reaction condition coordinates of the chemical heat storage units and a plurality of rotating speed coordinates of the heat supply circulating pumps based on a plurality of the heat supply gap energy consumption coordinates; wherein each of the heat supply gap energy consumption coordinates corresponds to one of the reaction condition coordinates of the chemical heat storage units and one of the rotating speed coordinates of the heat supply circulating pumps; Determine a reaction condition curve based on a plurality of the reaction condition coordinates and determine a rotating speed curve based on a plurality of the rotating speed coordinates; Control the reaction condition of the chemical heat storage unit and the rotating speed of the heat supply circulating pump in sequence based on the reaction condition curve and the rotating speed curve.

8. An electronic device, comprising: The system comprises a controller and a green electricity generation unit, an electric heating device, a chemical heat storage unit, a heat supply circulating pump and a heat supply pipe network connected in sequence, the green electricity generation unit being connected with the heat supply circulating pump, the controller being electrically connected with the green electricity generation unit, the electric heating device, the chemical heat storage unit and the heat supply circulating pump respectively, and the controller being configured to perform the method according to any one of claims 1-6.

9. A chemical heat storage based heat supply peak shaving control system, characterized in that, The system comprises a controller and a green electricity generation unit, an electric heating device, a chemical heat storage unit, a heat supply circulating pump and a heat supply pipe network connected in sequence, the green electricity generation unit being connected with the heat supply circulating pump, the controller being electrically connected with the green electricity generation unit, the electric heating device, the chemical heat storage unit and the heat supply circulating pump respectively, and the controller being configured to perform the method according to any one of claims 1-6.

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