Operation Optimization Method and Device for Connecting a Thermal Energy Storage Air Source Heat Pump to a 10 kV Distribution Network

Abstract

The present invention relates to an operation optimization method and device for connecting a heat storage air source heat pump to a 10 kV distribution network, including establishing an equipment heat storage model of the heat storage air source heat pump based on the electro-thermal conversion rate, active power, reactive power, air mass flow rate, air specific heat capacity at constant pressure, indoor set temperature value and indoor actual temperature value of the heat storage air source heat pump. According to the equipment heat storage model, a voltage drop model for connecting the heat storage air source heat pump to the 10 kV distribution network is established, and a voltage optimization model with the minimum total voltage offset within a preset duration during the heating period in the 10 kV distribution network as the objective function is established. Using the preset constraint conditions and the voltage drop models of each heat storage air source heat pump in the 10 kV distribution network, the voltage optimization model is solved to obtain an optimization result, and the operation modes of each heat storage air source heat pump in the 10 kV distribution network are set according to the optimization result. The present invention realizes the operation optimization of the heat storage air source heat pump connected to the 10 kV distribution network during the heating period, thereby ensuring the voltage quality of the 10 kV distribution network. The present invention also relates to a device and a storage medium.

Description

Technical Field

[0001] The present invention relates to the technical field of power systems, and in particular, to an operation optimization method and device for connecting a heat storage air source heat pump to a 10 kV distribution network. Background Art

[0002] Currently, electric heating equipment has been widely applied. Electric heating equipment has characteristics such as random intermittency and high power, which may cause serious power quality problems in the regional distribution network. Compared with general electric heating equipment, an air source heat pump can consume less electric energy to meet the equipment operation requirements. The air source heat pump can convert the low-grade heat energy in the air into high-grade heat energy for heating, and its conversion efficiency is three times that of ordinary direct electric heating equipment. However, the air source heat pump has a large power and a concentrated usage time. Conventional air source heat pumps consume electricity in real time according to the heating demand, and their disorderly use will have a serious impact on the power quality of the distribution network, causing problems such as over-limited voltage of the distribution network. Moreover, air source heat pumps are generally configured in 10 kV distribution networks, and the load management level of 10 kV distribution networks is low, lacking relevant technical conditions, and unable to quickly and accurately manage and optimize the power quality of the distribution network, especially the voltage. Therefore, how to optimize the operation of the heat storage air source heat pump connected to the 10 kV distribution network during the heating period so as to optimize the voltage regulation of the 10 kV distribution network is a technical problem that needs to be solved urgently at present. Summary of the Invention

[0003] Aiming at the technical problem that urgently needs to be solved at present, that is, how to optimize the operation of the heat storage air source heat pump connected to the 10 kV distribution network during the heating period so as to optimize the voltage regulation of the 10 kV distribution network, the present invention provides an operation optimization method and device for connecting a heat storage air source heat pump to a 10 kV distribution network.

[0004] In the first aspect, the present invention provides an operation optimization method for connecting a heat storage air source heat pump to a 10 kV distribution network, and the method includes:

[0005] Based on the electro-thermal conversion rate, active power, reactive power, air mass flow rate, specific heat capacity at constant pressure of air, indoor set temperature value and indoor actual temperature value of the heat storage air source heat pump, establish an equipment heat storage model of the heat storage air source heat pump;

[0006] According to the equipment heat storage model, establish a voltage drop model for the heat storage air source heat pump connected to the 10 kV distribution network;

[0007] An optimization model of voltage is established with the objective function of minimizing the total voltage offset within a preset time period of the 10 kV distribution network. The voltage optimization model is solved using preset constraint conditions and the voltage drop models of each heat storage air source heat pump in the 10 kV distribution network, and the operation modes of each heat storage air source heat pump in the 10 kV distribution network are set according to the optimization results.

[0008] Based on the above technical solution, further, an equipment heat storage model of the heat storage air source heat pump is established based on the electro-thermal conversion efficiency, active power, reactive power, air mass flow rate, specific heat capacity at constant pressure of air, indoor set temperature value and indoor actual temperature value of the heat storage air source heat pump, specifically including:

[0009] The specific heat capacity at constant pressure of air of the heat storage air source heat pump C p.air 、the air mass flow rate m air 、the indoor set temperature T set and the actual temperature value T actual are input H load =m air C p.air ( T set - T actual ), and the self-heat consumption H load of the heat storage air source heat pump is obtained;

[0010] According to the electro-thermal conversion efficiency 、the active power P Q and the reactive power of the heat storage air source heat pump, the equipment heat production H CR of the heat storage air source heat pump is obtained;

[0011] Based on the equipment heat production H CR and the self-heat consumption H load , the heat storage t of the heat storage air source heat pump in a preset time period H XR is obtained;

[0012] Using the heat storage t of the heat storage air source heat pump in a preset time period H XR and the electro-thermal conversion efficiency , obtain a preset time period t The active power value of the equivalent transferable load of the heat storage air source heat pump and the reactive power value of the equivalent transferable load .

[0013] Based on the above technical solution, further, according to the equipment heat storage model, establish a voltage drop model for the heat storage air source heat pump connected to the 10kV distribution network, specifically including:

[0014] Using the equipment heat storage model, obtain a preset time period t The active power value of the equivalent transferable load of the heat storage air source heat pump and the reactive power value of the equivalent transferable load ;

[0015] According to the preset time period t The active power value of the equivalent transferable load of the heat storage air source heat pump , the reactive power value of the equivalent transferable load of the heat storage air source heat pump , one The consumption load of a general air source heat pump and the equivalent impedance of the 10kV distribution network, establish a voltage drop model for the heat storage air source heat pump connected to the 10kV distribution network, where the one General air source heat pump is an air source heat pump without heat storage function.

[0016] Based on the above technical solution, further, according to the preset time period t The active power value of the equivalent transferable load of the heat storage air source heat pump , the reactive power value of the equivalent transferable load of the heat storage air source heat pump , one The consumption load of a general air source heat pump and the equivalent impedance of the 10kV distribution network, establish a voltage drop model for the heat storage air source heat pump connected to the 10kV distribution network, specifically including:

[0017] Input the total equivalent transferable load of the heat storage air source heat pump during the preset time period t , + , one The consumption load of a general air source heat pump + and the equivalent impedance of the distribution line where the heat storage air source heat pump is installed R+ j X into the formula

[0018]

[0019] Obtain the voltage drop model of the heat storage air source heat pump connected to the 10 kV distribution network, where is the preset time period t one is the active power value of a general air source heat pump, is the preset time period t one is the reactive power value of a general air source heat pump, R is the resistance value in the equivalent impedance, X is the reactance value in the equivalent impedance 。

[0020] Based on the above technical solution, further, the voltage optimization model with the minimum total voltage offset within the preset duration of the 10 kV distribution network as the objective function is specifically as follows:

[0021] Obtain the nodes in the 10 kV distribution network where the heat storage air source heat pump is set, and collect the actual voltage values of all the nodes at all the preset time periods within the preset duration t of all the nodes;

[0022] According to the actual voltage values and the standard voltage values t of all the nodes at all the preset time periods within the preset duration U n , establish the voltage optimization model with the minimum total voltage offset within the preset duration as the objective function , where N is the number of nodes in the 10 kV distribution network, is the preset time period t the i actual voltage value of the

[0023] Based on the above technical solution, further, the voltage optimization model is solved using the preset constraint conditions and the voltage drop models of the heat storage air source heat pumps in the 10 kV distribution network to obtain the optimization result, which specifically includes:

[0024] Taking the active power value of the equivalent transferable load and the reactive power value of the equivalent transferable load of the voltage drop models of the heat storage air source heat pumps in the 10 kV distribution network at the preset time period t as the optimization parameters;

[0025] Use the simulated annealing algorithm to solve the voltage optimization model to obtain the optimization result, and the optimization result includes the active power value of the equivalent transferable load and the reactive power value of the equivalent transferable load of each heat storage air source heat pump in the 10 kV distribution network at the preset time period t ;

[0026] Based on the above technical solution, further, the preset constraint conditions specifically include power balance constraints and constraints on the work value of the equivalent transferable load;

[0027] The power balance constraints include:

[0028]

[0029] In the formula, is the preset time period t The active power input from the previous line, is the preset time period t The reactive power input from the previous line, is the preset time period t The active power output to the next line, is the preset time period t The reactive power output to the next line;

[0030] The constraints on the work value of the equivalent transferable load include:

[0031]

[0032]

[0033] In the formula, is the preset time period t The upper limit value of the active value of the equivalent transferable load, is the preset time period t The lower limit value of the active value of the equivalent transferable load, is the preset time period t The upper limit value of the reactive value of the equivalent transferable load, is the preset time period t The lower limit value of the reactive value of the equivalent transferable load.

[0034] Second, the present invention also provides an operation optimization device for connecting a heat storage air source heat pump to a 10 kV distribution network. The device includes:

[0035] The first model establishment module is used to establish an equipment heat storage model of the heat storage air source heat pump based on the electro-thermal conversion rate, active power, reactive power, air mass flow rate, air specific heat capacity at constant pressure, indoor set temperature value, and indoor actual temperature value of the heat storage air source heat pump;

[0036] The second model establishment module is used to establish a voltage drop model of the heat storage air source heat pump connected to the 10 kV distribution network according to the equipment heat storage model;

[0037] An optimization model building module is used to build a voltage optimization model with the minimum total voltage offset within a preset time period of the 10kV distribution network as the objective function, and use the preset constraint conditions and the voltage drop models of each heat storage air source heat pump in the 10kV distribution network to solve the voltage optimization model to obtain an optimization result, and set the operating modes of each heat storage air source heat pump in the 10kV distribution network according to the optimization result.

[0038] Based on the above technical solution, further, the first model building module is specifically used to input the C p.air specific heat capacity at constant pressure of air m air , air mass flow rate T set , indoor set temperature T actual and actual temperature value H load =m air C p.air () T set - T actual to obtain the self-heat consumption H load of the heat storage air source heat pump;

[0039] According to the electro-thermal conversion efficiency , active power P Q and reactive power of the heat storage air source heat pump, obtain the equipment heat output H CR of the heat storage air source heat pump;

[0040] Based on the equipment heat output H CR and the self-heat consumption H load , obtain the heat storage t of the heat storage air source heat pump during a preset period H XR ;

[0041] Use the heat storage t of the heat storage air source heat pump during a preset period H XR and the electro-thermal conversion efficiency to obtain the active value t of the equivalent transferable load and the reactive value of the equivalent transferable load of the heat storage air source heat pump during a preset period .

[0042] Based on the above technical solution, further, the second model establishment module is specifically configured to use the device heat storage model to obtain a preset time period t the active power value of the equivalent transferable load of the heat storage air source heat pump and the reactive power value of the equivalent transferable load ;

[0043] According to the preset time period t the active power value of the equivalent transferable load of the heat storage air source heat pump the reactive power value of the equivalent transferable load of the heat storage air source heat pump , one the consumption load of a general air source heat pump and the equivalent impedance of the 10 kV distribution network, establish a voltage drop model for the heat storage air source heat pump to access the 10 kV distribution network, where the one general air source heat pump is an air source heat pump without heat storage function.

[0044] Based on the above technical solution, further, the second model establishment module is specifically configured to use the total equivalent transferable load of the heat storage air source heat pump in the preset time period t the total equivalent transferable load of the heat storage air source heat pump + , one the consumption load of a general air source heat pump + and the equivalent impedance of the distribution line where the heat storage air source heat pump is installed R + jX input the formula

[0045]

[0046] to obtain a voltage drop model for the heat storage air source heat pump to access the 10 kV distribution network, where is the active power value of a general air source heat pump in the preset time period t one is the reactive power value of a general air source heat pump in the preset time period is the preset time period t one is the reactive power value of a general air source heat pump R is the resistance value in the equivalent impedance X is the reactance value in the equivalent impedance 。

[0047] Based on the above technical solution, further, the optimization model establishment module is specifically configured to obtain the nodes in the 10 kV distribution network where the heat storage air source heat pump is set, and collect the actual voltage values of all the nodes at all the preset time periods within the preset duration; t the actual voltage values of all the nodes at all the preset time periods;

[0048] According to all preset time periods within the preset duration t of the actual voltage values and standard voltage values of all the nodes U n , a voltage optimization model with the minimum total voltage offset within the preset duration as the objective function is established , where N is the number of nodes in the 10 kV distribution network, is a preset time period t the i actual voltage value of the node

[0049] Based on the above technical solution, further, the optimization model establishment module is specifically configured to use the active power value and reactive power value of the equivalent transferable load of the voltage drop model of each heat storage air source heat pump in the 10 kV distribution network in the preset time period t as optimization parameters;

[0050] The simulated annealing algorithm is used to solve the voltage optimization model to obtain an optimization result, and the optimization result includes the active power value and reactive power value of the equivalent transferable load of each heat storage air source heat pump in the 10 kV distribution network in the preset time period t

[0051] Based on the above technical solution, further, the preset constraint conditions specifically include power balance constraints and power value constraints of the equivalent transferable load;

[0052] The power balance constraint includes:

[0053]

[0054] In the formula, is the active power input from the previous line in the preset time period t , is the reactive power input from the previous line in the preset time period t , is the active power output to the next line in the preset time period t , is the reactive power output to the next line in the preset time period t ;

[0055] The power value constraint of the equivalent transferable load includes:

[0056]

[0057]

[0058] In the formula, is the preset time period t ​The upper limit value of the active power of the equivalent transferable load for a preset time period t The lower limit value of the active power of the equivalent transferable load for a preset time period t The upper limit value of the reactive power of the equivalent transferable load for a preset time period t The lower limit value of the reactive power of the equivalent transferable load

[0059] Thirdly, the present invention further provides a computer device, including a memory and a processor. The memory stores a computer program, and when the processor executes the computer program, it realizes the operation optimization method for connecting a heat storage air source heat pump to a 10kV distribution network described in any item of the first aspect.

[0060] Fourthly, the present invention further provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, it realizes the operation optimization method for connecting a heat storage air source heat pump to a 10kV distribution network described in any item of the first aspect.

[0061] The operation optimization method and device for connecting a heat storage air source heat pump to a 10kV distribution network provided by the present invention include establishing an equipment heat storage model of the heat storage air source heat pump based on the electro-thermal conversion rate, active power, reactive power, air mass flow rate, air specific heat at constant pressure, indoor set temperature value, and indoor actual temperature value of the heat storage air source heat pump. According to the equipment heat storage model, a voltage drop model for connecting the heat storage air source heat pump to a 10kV distribution network is established. A voltage optimization model with the minimum total voltage offset within a preset time period of the 10kV distribution network as the objective function is established, and using preset constraint conditions and the voltage drop models of each heat storage air source heat pump in the 10kV distribution network, the voltage optimization model is solved to obtain an optimization result, and the operation modes of each heat storage air source heat pump in the 10kV distribution network are set according to the optimization result. The present invention realizes the operation optimization of the heat storage air source heat pump connected to the 10kV distribution network during the heating period, thereby ensuring the voltage quality of the 10kV distribution network. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] The specification drawings forming a part of the present invention are used to provide a further understanding of the present invention. The schematic embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation to the present invention. In the drawings:

[0063] Figure 1 is a flowchart of the operation optimization method for connecting a heat storage air source heat pump to a 10kV distribution network provided by an embodiment of the present invention;

[0064] Figure 2It is a schematic structural diagram of a heat storage air source heat pump provided by another embodiment of the present invention;

[0065] Figure 3 It is a schematic flowchart of an operation optimization method for connecting a heat storage air source heat pump to a 10 kV distribution network provided by another embodiment of the present invention;

[0066] Figure 4 It is a schematic diagram of a 10 kV distribution network provided by another embodiment of the present invention;

[0067] Figure 5 It is a schematic module diagram of an operation optimization device for connecting a heat storage air source heat pump to a 10 kV distribution network provided by another embodiment of the present invention. Detailed implementation manners

[0068] The present invention will be described in detail below with reference to the accompanying drawings and in conjunction with embodiments. It should be noted that, without conflict, the embodiments in the present invention and the features in the embodiments can be combined with each other.

[0069] The following detailed descriptions are all exemplary descriptions, aiming to provide further detailed descriptions of the present invention. Unless otherwise specified, all technical terms adopted by the present invention have the same meaning as commonly understood by those of ordinary skill in the technical field to which the present invention belongs. The terms used in the present invention are only for describing specific implementation manners and are not intended to limit the exemplary embodiments according to the present invention.

[0070] The following will be combined with the attached Figure 1 , an operation optimization method for connecting a heat storage air source heat pump to a 10 kV distribution network provided by an embodiment of the present invention will be described, including the following steps:

[0071] S100. Based on the electro-thermal conversion rate, active power, reactive power, air mass flow rate, specific heat capacity at constant pressure of air, indoor set temperature value and indoor actual temperature value of the heat storage air source heat pump, establish an equipment heat storage model of the heat storage air heat source pump.

[0072] S200. According to the equipment heat storage model, establish a voltage drop model for connecting the heat storage air source heat pump to a 10 kV distribution network.

[0073] S300. Establish a voltage optimization model with the minimum total voltage offset within a preset time period of the 10 kV distribution network as the objective function, and use the preset constraint conditions and the voltage drop models of each heat storage air source heat pump in the 10 kV distribution network to solve the voltage optimization model to obtain an optimization result, and set the operation modes of each heat storage air source heat pump in the 10 kV distribution network according to the optimization result.

[0074] Based on the above embodiments, further, step S100 specifically includes:

[0075] S110. Input the specific heat capacity at constant pressure of air, the air mass flow rate, the indoor set temperature, and the actual temperature value of the regenerative air source heat pump C p.air into ( m air - T set ) to obtain the self-consumption heat of the regenerative air source heat pump T actual . H load =m air C p.air ( T set - T actual ) to obtain the self-consumption heat of the regenerative air source heat pump H load .

[0076] S120. Obtain the heat output of the equipment of the regenerative air source heat pump according to the electro-thermal conversion efficiency, active power, and reactive power of the regenerative air source heat pump . P Q H CR .

[0077] S130. Based on the heat output of the equipment H CR and the self-consumption heat H load , obtain the heat storage of the regenerative air source heat pump during a preset period t H XR .

[0078] S140. Use the heat storage of the regenerative air source heat pump during a preset period t H XR and the electro-thermal conversion efficiency to obtain the active value and reactive value of the equivalent transferable load of the regenerative air source heat pump during a preset period t and the reactive value of the equivalent transferable load .

[0079] Specifically, use the heat storage of the regenerative air source heat pump during a preset period t H XRThe total work value of the equivalent transferable load of the heat storage air source heat pump can be obtained from the electrothermal conversion efficiency, and then the active value of the equivalent transferable load can be obtained respectively through the ratio of the active power to the reactive power or other methods and the reactive value of the equivalent transferable load . This will not be elaborated in this embodiment.

[0080] Further, step S200 specifically includes:

[0081] S210. Using the equipment heat storage model, obtain the active value of the equivalent transferable load of the heat storage air source heat pump during a preset time period t and the reactive value of the equivalent transferable load 。

[0082] S220. According to the active value of the equivalent transferable load of the heat storage air source heat pump during the preset time period t and the reactive value of the equivalent transferable load of the heat storage air source heat pump , the consumption load of a general air source heat pump, and the equivalent impedance of the 10 kV distribution network, establish a voltage drop model for the heat storage air source heat pump connected to the 10 kV distribution network, where the one general air source heat pump is an air source heat pump without heat storage function. one

[0083] Further, step S220 specifically includes:

[0084] Input the total equivalent transferable load of the heat storage air source heat pump during the preset time period t , the consumption load of a general air source heat pump +j , and one the equivalent impedance of the distribution line where the heat storage air source heat pump is installed +j into the formula R + jX

[0085]

[0086] to obtain the voltage drop model for the heat storage air source heat pump connected to the 10 kV distribution network, where is the active value of a general air source heat pump during the preset time period t one , is the reactive value of a general air source heat pump during the preset time period t one , R is the resistance value in the equivalent impedance, X ​​​​is the reactance value in the equivalent impedance 。

[0087] Based on the above embodiments, further, in step S300, establishing a voltage optimization model with the minimum total voltage offset within a preset time period of the 10kV distribution network as the objective function specifically includes:

[0088] S310. Obtain the nodes in the 10kV distribution network where the heat storage air source heat pump is set, and collect all preset time periods within the preset time period t of the actual voltage values of all the nodes.

[0089] S320. According to all preset time periods within the preset time period t of the actual voltage values and standard voltage values of all the nodes U n , establish a voltage optimization model with the minimum total voltage offset within the preset time period as the objective function , where N is the number of nodes in the 10kV distribution network, is the preset time period t the i actual voltage value of the th node.

[0090] Based on the above embodiments, further, in step S300, using the preset constraint conditions and the voltage drop model of each heat storage air source heat pump in the 10kV distribution network to solve the voltage optimization model to obtain the optimization result, specifically including:

[0091] Taking the active power value of the equivalent transferable load and the reactive power value of the equivalent transferable load of the voltage drop model of each heat storage air source heat pump in the 10kV distribution network within the preset time period t as the optimization parameters;

[0092] Using the simulated annealing algorithm to solve the voltage optimization model to obtain the optimization result, and the optimization result includes the active power value of the equivalent transferable load and the reactive power value of the equivalent transferable load of each heat storage air source heat pump in the 10kV distribution network within the preset time period t .

[0093] Specifically, the simulated annealing algorithm is a probability-based algorithm. The solid is heated to a sufficiently high temperature and then cooled slowly. When heating, the internal particles of the solid become disordered with the temperature rise, and the internal energy increases. When cooling slowly, the particles gradually become ordered, reach an equilibrium state at each temperature, and finally reach the ground state at room temperature, and the internal energy is reduced to the minimum.

[0094] In this embodiment, the simulated annealing algorithm is used to solve the voltage optimization model to obtain the optimization result. The solution process is an iterative process. Through multiple iterative processes, an optimization result that meets the preset constraints and has the minimum objective function value is obtained. The optimization result includes the active power value and the reactive power value of the equivalent transferable load of each heat storage air source heat pump in the 10 kV distribution network during the preset time period. t

[0095] Based on the above embodiment, further, the preset constraint conditions specifically include power balance constraints and the active power value constraints of the equivalent transferable load.

[0096] The power balance constraints include:

[0097]

[0098] In the formula, is the active power input from the previous line during the preset time period, t is the reactive power input from the previous line during the preset time period, is the preset time period, t is the active power output to the next line during the preset time period, is the preset time period, t is the reactive power output to the next line during the preset time period. is the preset time period, t is the reactive power output to the next line during the preset time period.

[0099] The active power value constraints of the equivalent transferable load include:

[0100]

[0101]

[0102] In the formula, is the upper limit value of the active power value of the equivalent transferable load during the preset time period, t is the lower limit value of the active power value of the equivalent transferable load during the preset time period, is the preset time period, t is the lower limit value of the active power value of the equivalent transferable load during the preset time period, is the preset time period, t is the upper limit value of the reactive power value of the equivalent transferable load during the preset time period, is the preset time period, t is the lower limit value of the reactive power value of the equivalent transferable load during the preset time period.

[0103] ​This embodiment relates to an operation optimization method for connecting a heat storage air source heat pump to a 10 kV distribution network, including establishing an equipment heat storage model of the heat storage air source heat pump based on the electro-thermal conversion rate, active power, air mass flow rate, air specific heat capacity at constant pressure, indoor set temperature value, and indoor actual temperature value of the heat storage air source heat pump. According to the equipment heat storage model, a voltage drop model for connecting the heat storage air source heat pump to the 10 kV distribution network is established. A voltage optimization model with the minimum total voltage offset within a preset duration during the heating period in the 10 kV distribution network as the objective function is established, and using the preset constraint conditions and the voltage drop models of each heat storage air source heat pump in the 10 kV distribution network, the voltage optimization model is solved to obtain the optimization result, and the operation modes of each heat storage air source heat pump in the 10 kV distribution network are set according to the optimization result. This embodiment realizes the operation optimization of the heat storage air source heat pump connected to the 10 kV distribution network during the heating period, thereby ensuring the voltage quality of the 10 kV distribution network.

[0104] Next, in conjunction with the attached Figures 2 to 4 , a voltage analysis and optimization method for connecting a heat storage air source heat pump to a 10 kV rural power grid provided by an embodiment of the present invention will be described, including the following steps:

[0105] S1. Analysis and modeling of the characteristics of the heat storage air source heat pump

[0106] The main body of the heat storage air source heat pump consists of a conventional air source heat pump and a heat storage water tank. Under the peak-valley electricity price mode, the heat storage air source heat pump stores heat according to the configured heat storage power during the low electricity price period until the heat is fully stored, and releases the stored heat to maintain heating during the peak electricity price period. It not only retains the advantages of high energy efficiency and clean heating of the traditional air source heat pump, but also can perform peak shaving and valley filling on the distribution network, reducing the impact of overload on the distribution network. Its brief structural schematic diagram is as Figure 2 shown.

[0107] Heat storage air source heat pump model:

[0108]

[0109] In the formula, is the equipment heat storage; is the equipment heat production; is the heat load; is the heat storage time period. Among them, the relationship between the heat load and the temperature can be obtained by the following formula:

[0110]

[0111] In the formula, is the air mass flow rate; is the air specific heat capacity at constant pressure; Set the indoor temperature; Be the actual indoor temperature.

[0112] The simplified relationship between the heat production of the device and the active power consumption is:

[0113]

[0114] In the formula, Be the electro-thermal conversion efficiency of the heat storage air source heat pump; Be the active power consumed by the device.

[0115] At The heat storage during the period is equivalent to the active value of the transferable load :

[0116]

[0117] According to the actual operation of the distribution network, transfer the peak load to the valley. Through the above model, the electro-thermal coupling relationship between the electric heating load and the distribution network is quantified.

[0118] S2. Voltage model of the distribution network after the access of conventional electric heating equipment and heat storage air source heat pump

[0119] Such as Figure 3 In Be t The total work value of the transferable load equivalent to the heat storage at time, Be t The conventional load at time, Be the equivalent impedance of the distribution line.

[0120] Specifically, the conventional electric heating equipment has a large power and a concentrated use time. Its large-scale and disorderly access will cause voltage fluctuations in the distribution network, and such fluctuations may cause the voltage of the distribution network to exceed the limit. When the equipment starts, there will be a short-term rapid voltage drop, and when the equipment stops, the voltage will rise briefly. And when the equipment is running, the overall load of the distribution network increases, resulting in a voltage drop at the node. The conventional air source heat pump does not have the function of heat storage, which makes the load Increase at the peak time t of the heating season. According to the voltage drop formula:

[0121]

[0122] When the equipment in the distribution network remains unchanged, that is, R And X remain unchanged, then Depends on t The load at time, the greater the load, The greater it is, the lower the voltage of the distribution network node. When a large number of electric heating equipment operate simultaneously, the equipment at the end of the low-voltage distribution network line cannot operate normally.

[0123] The regenerative air source heat pump can store heat. By transferring peak loads, the regenerative air source heat pump can reduce the voltage offset, thereby reducing voltage deviation. According to the total work value of the heat storage amount equivalent to the transferable load in S1, the voltage drop formula after its connection to the distribution network is as follows:

[0124]

[0125] If t the regenerative air source heat pump is consuming electrical energy for heat storage at time is positive, indicating that the device is consuming electrical energy at this time. Conversely, if t the device does not consume electrical energy at time and releases heat using the stored heat is negative, indicating that a part of the electrical load is transferred out at this time. According to the formula, at this time decreases, achieving the effect of improving voltage. The overall optimized voltage within a heating standard day can be achieved by adjusting the heat storage and heat release time periods of the regenerative air source heat pump.

[0126] S3. Voltage optimization of a 10kV distribution network using the energy storage characteristics of a regenerative air source heat pump

[0127] Based on the above analysis, the voltage optimization method for a 10kV distribution network is described, including the optimization model and optimization strategy.

[0128] 1. Optimization model

[0129] Objective function: The optimization model of the present invention aims to minimize the total voltage offset in a day during the heating season, which is expressed by the following formula.

[0130]

[0131] In the formula, N is the number of nodes in the distribution network of this area; is t the actual voltage value at node i at time is the standard voltage value.

[0132] Constraint conditions:

[0133] 1) Power flow constraint:

[0134]

[0135] In the formula, and are respectively t the active power and reactive power injected at the node at time and are the voltages of node i, j ; and is the conductance and susceptance between nodes i and j ; is the phase angle difference between nodes i and j .

[0136] 2) Power balance constraint:

[0137]

[0138] In the formula, and are respectively t the active power and reactive power input to node from the previous line at time ; t and are respectively the active power and reactive power output from node t to the next line at time ; and t are respectively

[0139] the active power and reactive power of the conventional load at time

[0140]

[0141] In the formula, is the actual transmission capacity of line ; is the maximum transmission capacity of line .

[0142] 4) Voltage and current constraints

[0143]

[0144] In the formula, and are the lower and upper limits of the node voltage; and are the lower and upper limits of the current.

[0145] 5) Constraint of heat storage equivalent transferable load

[0146]

[0147]

[0148] In the formula, and , and are respectively t the upper and lower limits of the active and reactive power of the equivalent transferable load for the heat storage amount at a moment.

[0149] 2. Optimization strategy

[0150] According to the above optimization model, by adjusting the heat storage and heat release of the heat storage type air source heat pump, the equivalent transferable load is regulated, and the voltage offset is affected , thereby affecting the node , so as to minimize the total voltage offset within a day in the heating season.

[0151] Based on the real-time operation data of the distribution network when the electric heating load is connected disorderly before optimization as the initial value of optimization, while aiming to minimize the voltage offset, it is necessary to meet the above-mentioned constraint conditions to ensure the safe and stable operation of the optimized system. Select an optimization algorithm. Commonly used optimization algorithms include genetic algorithm, gradient descent method, simulated annealing algorithm, particle swarm optimization algorithm, etc. The present invention adopts the simulated annealing algorithm, which can avoid falling into local minimum values and is suitable for global optimization problems. After the solution is completed, according to the optimization results, set the operation mode of the heat storage type air source heat pump, and make optimized adjustments according to different daily weather and user behaviors to ensure the voltage quality of each node of the distribution network.

[0152] Specifically, the present invention provides a voltage analysis and optimization method for a heat storage type air source heat pump connected to a 10kV rural power grid to address the safety and economic problems brought about by the large-scale development of electric heating.

[0153] The present invention uses a traditional air source heat pump plus a heat storage water tank to form a heat storage type air source heat pump to address the voltage quality problem caused by the increase in electric load during the heating season due to the large-scale development of coal-to-electricity conversion.

[0154] The present invention first analyzes the heat storage type air source heat pump and establishes a model, and equivalently converts the heat storage amount into a transferable load amount; secondly, compares and analyzes the voltage change of the distribution network after the conventional electric heating equipment and the heat storage type air source heat pump are connected; finally, takes the minimum total voltage offset within a day in the heating season as the objective function, establishes a voltage optimization model, and determines the optimization strategy.

[0155] The present invention uses a heat storage type air source heat pump to replace the traditional air source heat pump and connect it to a 10kV distribution network, which not only retains the advantages of high energy efficiency and clean heating of the traditional air source heat pump, but also can perform peak shaving and valley filling on the distribution network and slow down the impact of overload on the distribution network. The present invention equivalently regards the heat storage amount as a transferable load and quantifies the coupling relationship between electricity and heat. The present invention also establishes a voltage optimization model to find the optimal heating strategy to reduce the voltage offset.

[0156] This embodiment realizes the operation optimization of the heat storage air source heat pump connected to the 10 kV distribution network during the heating period, thus ensuring the voltage quality of the 10 kV distribution network.

[0157] The following will be combined with the attached Figure 5 A description will be given of the device for calculating the power and electricity balance margin under typical weather conditions provided by the embodiment of the present invention. The device includes:

[0158] A first model establishment module, configured to establish an equipment heat storage model of the heat storage air source heat pump based on the electro-thermal conversion efficiency, active power, reactive power, air mass flow rate, specific heat capacity at constant pressure of air, indoor set temperature value, and indoor actual temperature value of the heat storage air source heat pump;

[0159] A second model establishment module, configured to establish a voltage drop model of the heat storage air source heat pump connected to the 10 kV distribution network according to the equipment heat storage model;

[0160] An optimization model establishment module, configured to establish a voltage optimization model with the minimum total voltage offset within a preset duration of the 10 kV distribution network as the objective function, and use the preset constraint conditions and the voltage drop models of each heat storage air source heat pump in the 10 kV distribution network to solve the voltage optimization model to obtain an optimization result, and set the operation modes of each heat storage air source heat pump in the 10 kV distribution network according to the optimization result.

[0161] Based on the above embodiment, further, the first model establishment module is specifically configured to input the specific heat capacity at constant pressure of air C p.air , air mass flow rate m air , indoor set temperature T set and actual temperature value T actual into H load =m air C p.air () T set - T actual to obtain the self-heat consumption H load of the heat storage air source heat pump;

[0162] According to the electro-thermal conversion efficiency , active power P Q and reactive power of the heat storage air source heat pump, obtain the equipment heat production HCR ;

[0163] Based on the heat output of the device H CR and the self-consumed heat H load , the heat storage capacity of the heat storage type air source heat pump during a preset period is obtained t ; H XR ;

[0164] Using the heat storage capacity of the heat storage type air source heat pump during a preset period t and the electro-thermal conversion efficiency H XR and the electro-thermal conversion efficiency , the active value and reactive value of the equivalent transferable load of the heat storage type air source heat pump during a preset period are obtained t ; and the reactive value of the equivalent transferable load .

[0165] Based on the above embodiments, further, the second model establishment module is specifically configured to use the device heat storage model to obtain the active value and reactive value of the equivalent transferable load of the heat storage type air source heat pump during a preset period t ; and the reactive value of the equivalent transferable load ;

[0166] According to the active value of the equivalent transferable load of the heat storage type air source heat pump during a preset period t , the reactive value of the equivalent transferable load of the heat storage type air source heat pump , the consumption load of a general air source heat pump, and the equivalent impedance of the 10 kV distribution network, a voltage drop model for the heat storage type air source heat pump connected to the 10 kV distribution network is established, where the , one general air source heat pump is an air source heat pump without heat storage function one .

[0167] Based on the above embodiments, further, the second model establishment module is specifically configured to input the total equivalent transferable load of the heat storage type air source heat pump during a preset period t , the consumption load of a general air source heat pump + , one the consumption load of a general air source heat pump + and the equivalent impedance of the distribution line where the heat storage type air source heat pump is installed R+ j X into the formula

[0168]

[0169] Obtain the voltage drop model of the heat storage air source heat pump connected to the 10 kV distribution network, where is a preset time period t one is the active power value of a general air source heat pump, is a preset time period t one is the reactive power value of a general air source heat pump, R is the resistance value in the equivalent impedance of the distribution network, X is the reactance value in the equivalent impedance 。

[0170] Based on the above embodiments, further, the optimization model establishment module is specifically configured to obtain the nodes in the 10 kV distribution network where the heat storage air source heat pump is set, and collect all preset time periods within the preset duration t of the actual voltage values of all the nodes;

[0171] According to the actual voltage values and the standard voltage values t of all the nodes in all the preset time periods within the preset duration U n , establish a voltage optimization model with the minimum total voltage offset within the preset duration as the objective function , where N is the number of nodes in the 10 kV distribution network, is a preset time period t the i actual voltage value of the th node.

[0172] Based on the above embodiments, further, the optimization model establishment module is specifically configured to use the active power value of the equivalent transferable load and the reactive power value of the equivalent transferable load of the voltage drop model of each heat storage air source heat pump in the 10 kV distribution network in a preset time period t as optimization parameters;

[0173] Use the simulated annealing algorithm to solve the voltage optimization model to obtain the optimization result, and the optimization result includes the active power value of the equivalent transferable load and the reactive power value of the equivalent transferable load of each heat storage air source heat pump in the 10 kV distribution network in a preset time period t ;

[0174] Based on the above embodiments, further, the preset constraint conditions specifically include power balance constraints and work value constraints of the equivalent transferable load;

[0175] The power balance constraints include:

[0176]

[0177] In the formula, is a preset time period t the active power input from the previous line, is a preset time period t the reactive power input from the previous line, is a preset time period t the active power output to the next line, is a preset time period t the reactive power output to the next line;

[0178] The power value constraint of the equivalent transferable load includes:

[0179]

[0180]

[0181] In the formula, is a preset time period t the upper limit value of the active power value of the equivalent transferable load, is a preset time period t the lower limit value of the active power value of the equivalent transferable load, is a preset time period t the upper limit value of the reactive power value of the equivalent transferable load, is a preset time period t the lower limit value of the reactive power value of the equivalent transferable load.

[0182] This embodiment relates to an operation optimization device for a heat storage air source heat pump connected to a 10 kV distribution network, including establishing an equipment heat storage model of the heat storage air source heat pump based on the electrothermal conversion rate, active power, air mass flow rate, air specific heat capacity at constant pressure, indoor set temperature value, and indoor actual temperature value of the heat storage air source heat pump. According to the equipment heat storage model, a voltage drop model of the heat storage air source heat pump connected to the 10 kV distribution network is established. A voltage optimization model with the minimum total voltage offset within a preset duration during the heating period in the 10 kV distribution network as the objective function is established, and using the preset constraint conditions and the voltage drop models of each heat storage air source heat pump in the 10 kV distribution network, the voltage optimization model is solved to obtain an optimization result, and according to the optimization result, the operation modes of each heat storage air source heat pump in the 10 kV distribution network are set. This embodiment realizes the operation optimization of the heat storage air source heat pumps connected to the 10 kV distribution network during the heating period, thereby ensuring the voltage quality of the 10 kV distribution network.

[0183] In addition, an embodiment of the present invention includes a computer device, comprising a memory and a processor. The memory stores a computer program, and when the processor executes the computer program, the method for optimizing the operation of a heat storage air source heat pump connected to a 10 kV distribution network described in any one of the above technical solutions is implemented.

[0184] An embodiment of the present invention further includes a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the method for optimizing the operation of a heat storage air source heat pump connected to a 10 kV distribution network described in any one of the above technical solutions is implemented.

[0185] As is known by technical common sense, the present invention can be implemented by other embodiments without departing from its spiritual essence or essential features. Therefore, the above-disclosed embodiments are illustrative in all aspects and not exclusive. All changes within the scope of the present invention or within the scope equivalent to the present invention are encompassed by the present invention.

[0186] Those skilled in the art should understand that the embodiments of the present invention can be provided as a method, a system, or a computer program product. Therefore, the present invention can take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present invention can take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0187] The present invention is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to embodiments of the present invention. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, and the combination of flows and / or blocks in the flowcharts and / or block diagrams, can be realized by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing devices generate means for realizing the functions specified in Figure 1 one or more flows and / or blocks Figure 1 one or more blocks.

[0188] These computer program instructions can also be stored in a computer-readable memory capable of guiding a computer or other programmable data processing devices to work in a specific manner, so that the instructions stored in the computer-readable memory generate a manufactured article including instruction means, and the instruction means realizes the functions specified in Figure 1 one or more flows and / or blocks Figure 1 one or more blocks.

[0189] These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus, so that a series of operation steps are performed on the computer or other programmable apparatus to generate a computer-implemented process, thereby providing instructions for implementing the steps of the function specified in one process or a plurality of processes and / or blocks Figure 1 one process or a plurality of processes and / or blocks Figure 1 steps of the function specified in one block or a plurality of blocks.

[0190] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit them. Although the present invention has been described in detail with reference to the above embodiments, those of ordinary skill in the art should understand that: modifications or equivalent replacements can still be made to the specific embodiments of the present invention. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention shall be covered by the protection scope of the claims of the present invention.

Claims

1. A method for optimizing the operation of a thermal storage air source heat pump connected to a 10KV distribution network, characterized in that: The method comprises: Based on the electric heat conversion rate, active power, reactive power, air mass flow rate, air constant pressure specific heat capacity, indoor set temperature value and indoor actual temperature value of the thermal storage air source heat pump, an equipment heat storage model of the thermal storage air source heat pump is established; According to the equipment heat storage model, a voltage drop model of the thermal storage air source heat pump connected to a 10KV distribution network is established; specifically including: Using the equipment heat storage model, the preset time period is obtained t Active value of equivalent transferable load of the thermal storage air source heat pump and the reactive power value of the equivalent transferable load ; According to the preset time period t Active value of equivalent transferable load of the thermal storage air source heat pump , the reactive value of the equivalent transferable load of the thermal storage air source heat pump , one The consumption load of a general air source heat pump and the equivalent impedance of the 10KV distribution network are used to establish a voltage drop model when the thermal storage air source heat pump is connected to the 10KV distribution network, which specifically includes: Set the preset time period t The total equivalent transferable load of the thermal storage air source heat pump + , one The consumption load of general air source heat pump + and the equivalent impedance of the distribution line where the thermal storage air source heat pump is installed R+ j X Enter the formula The voltage drop model of the thermal storage air source heat pump connected to the 10KV distribution network is obtained, where Is the preset time period t- The active value of a general air source heat pump is Is the preset time period t- The reactive power value of a general air source heat pump is R is the resistance value in the equivalent impedance, X is the reactance value in the equivalent impedance, Is the preset time period t The real-time voltage value of the first end of the thermal storage air source heat pump connected to the 10KV distribution network, Is the preset time period t The real-time voltage value of the second end of the thermal storage air source heat pump connected to the 10KV power distribution network; Among them, the one Generally, air source heat pumps are air source heat pumps without heat storage function; A voltage optimization model is established with the minimum total voltage offset within the preset time of the 10KV distribution network as the objective function, specifically including: Obtain the node where the thermal storage air source heat pump is set in the 10KV distribution network, and collect all preset time periods within the preset time length t The actual voltage values ​​of all the nodes; According to all preset time periods within the preset time t The actual voltage value and standard voltage value of all the nodes U n , establish a voltage optimization model with the minimum total voltage offset within the preset time as the objective function ,in, N is the number of nodes in the 10KV distribution network, Is the preset time period t No. i The actual voltage value of the node; The voltage optimization model is solved by using preset constraints and the voltage drop model of each thermal storage air source heat pump in the 10KV distribution network to obtain an optimization result, and the operation mode of each thermal storage air source heat pump in the 10KV distribution network is set according to the optimization result.

2. The method according to claim 1, characterized in that The heat storage model of the thermal storage air source heat pump is established based on the electric heat conversion rate, active power, reactive power, air mass flow rate, air constant pressure specific heat capacity, indoor set temperature value and indoor actual temperature value of the thermal storage air source heat pump, specifically including: The air constant pressure specific heat capacity of the thermal storage air source heat pump C p.air , air mass flow rate m air , Indoor set temperature T set and actual temperature value T actual enter H load =m air C p.air ( T set - T actual ), obtain the self-consumption heat of the thermal storage air source heat pump H load ; According to the electric heat conversion efficiency of the thermal storage air source heat pump , Active Power P Q and reactive power to obtain the equipment heat generation of the thermal storage air source heat pump H CR ; Based on the heat generation of the equipment H CR and the self-consumption heat H load , get the preset time period t The heat storage of the thermal storage air source heat pump H XR ; Use preset time slots t The heat storage of the thermal storage air source heat pump H XR and the electrothermal conversion efficiency , get the preset time period t Active value of equivalent transferable load of the thermal storage air source heat pump and the reactive power value of the equivalent transferable load .

3. The method according to claim 1, characterized in that: The voltage optimization model is solved by using the preset constraint conditions and the voltage drop model of each thermal storage air source heat pump in the 10KV distribution network to obtain the optimization result, specifically including: The voltage drop model of each thermal storage air source heat pump in the 10KV distribution network is used in a preset period of time. t The active value of the equivalent transferable load and the reactive value of the equivalent transferable load are used as optimization parameters; The voltage optimization model is solved by using a simulated annealing algorithm to obtain an optimization result, which includes the following: t The active value of the equivalent transferable load and the reactive value of the equivalent transferable load.

4. The method according to claim 3, characterized in that The preset constraint conditions specifically include power balance constraint and power value constraint of equivalent transferable load; The power balance constraints include: In the formula, For preset time period t Active power input from the previous line, For preset time period t The reactive power imported from the previous line, is the active power output to the next line during the preset period, For preset time period t Reactive power exported to the next line; The work value constraints of the equivalent transferable load include: In the formula, For preset time period t The upper limit of the active value of the equivalent transferable load, For preset time period t The lower limit of the active power of the equivalent transferable load, For preset time period t The upper limit of the reactive power value of the equivalent transferable load, For preset time period t The lower limit of the reactive power value of the equivalent transferable load.

5. An operation optimization device for connecting a thermal storage air source heat pump to a 10KV distribution network, characterized in that: Based on the operation optimization method for connecting a thermal storage air source heat pump to a 10KV distribution network according to any one of claims 1 to 4, the device comprises: The first model building module is used to establish a device heat storage model of the thermal storage air source heat pump based on the electric heat conversion rate, active power, reactive power, air mass flow rate, air constant pressure specific heat capacity, indoor set temperature value and indoor actual temperature value of the thermal storage air source heat pump; The second model building module is used to build a voltage drop model of the thermal storage air source heat pump connected to a 10KV power distribution network according to the equipment thermal storage model; An optimization model establishment module is used to establish a voltage optimization model with the minimum total voltage offset within a preset time period of the 10KV distribution network as the objective function, and to solve the voltage optimization model by using preset constraints and the voltage drop model of each thermal storage air source heat pump in the 10KV distribution network to obtain an optimization result, and to set the operation mode of each thermal storage air source heat pump in the 10KV distribution network according to the optimization result.

6. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that: When the processor executes the computer program, the operation optimization method for connecting a thermal storage air source heat pump to a 10KV distribution network as described in any one of claims 1 to 4 is implemented.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the operation optimization method for connecting a thermal storage air source heat pump to a 10KV distribution network as described in any one of claims 1 to 4 is implemented.

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