Power demand response baseline determination method, device, equipment and medium

Abstract

Embodiments of the present application disclose a power demand response baseline determination method, device, equipment and medium. The method comprises: constructing a light storage and charging energy constraint condition according to the power distribution of the light storage and charging element connected to the grid node in the alternating current power distribution network; performing second-order cone relaxation processing on the power flow constraint model of the alternating current power distribution network to obtain a power flow constraint condition; constructing an operation constraint condition according to the power conservation of the corresponding light storage and charging element and the distribution transformer of the grid node in the alternating current power distribution network; and determining the power demand response baseline according to the power operation cost of the transformer area under the condition of meeting the target constraint condition; wherein the target constraint condition comprises the light storage and charging energy constraint condition, the power flow constraint condition and the operation constraint condition. The above scheme improves the accuracy of the power demand response baseline determination result.

Description

TECHNICAL FIELD

[0001] Embodiments of the present application relate to the technical field of electric power, and particularly relate to a power demand response baseline determination method, device, equipment and medium. BACKGROUND

[0002] Power demand response refers to a way that power users realize the control target of peak shaving and shifting of an alternating current distribution network by actively adjusting power load. The power demand response baseline can be used as a basis for determining the power consumption degree of participating users in various demand response projects. Therefore, it is crucial to accurately determine the power demand response baseline.

[0003] In the prior art, the way of determining the power demand response baseline has the problem of low accuracy. SUMMARY

[0004] The present application provides a power demand response baseline determination method, device, equipment and medium to improve the accuracy of the power demand response baseline.

[0005] According to an aspect of the present application, a power demand response baseline determination method is provided, comprising:

[0006] According to the power distribution of the grid node connected to the light storage and charging element in the alternating current distribution network, a light storage and charging energy constraint condition is constructed;

[0007] A power flow constraint condition is obtained by performing second-order cone relaxation processing on the power flow constraint model of the alternating current distribution network;

[0008] According to the power conservation of the grid node corresponding to the light storage and charging element and the distribution transformer in the alternating current distribution network, an operation constraint condition is constructed;

[0009] In the case of meeting the target constraint condition, the power demand response baseline is determined according to the power operation cost of the transformer area; wherein the target constraint condition includes the light storage and charging energy constraint condition, the power flow constraint condition and the operation constraint condition.

[0010] According to another aspect of the present application, a power demand response baseline determination device is provided, comprising:

[0011] An energy constraint condition construction module is configured to construct a light storage and charging energy constraint condition according to the power distribution of the grid node connected to the light storage and charging element in the alternating current distribution network;

[0012] A power flow constraint condition acquisition module is configured to obtain a power flow constraint condition by performing second-order cone relaxation processing on the power flow constraint model of the alternating current distribution network;

[0013] An operation constraint condition construction module is configured to construct an operation constraint condition according to power conservation of the grid node corresponding to the optical storage and charging element and the distribution transformer in the alternating current power distribution network.

[0014] A baseline determination module is configured to determine a power demand response baseline according to the power operation cost of the transformer area under the condition that the target constraint condition is met, wherein the target constraint condition comprises the optical storage and charging energy constraint condition, the power flow constraint condition and the operation constraint condition.

[0015] According to another aspect of the present application, an electronic device is provided, comprising:

[0016] one or more processors;

[0017] a memory for storing one or more programs;

[0018] When the one or more programs are executed by the one or more processors, the one or more processors are enabled to perform any one of the power demand response baseline determination methods provided by the embodiments of the present application.

[0019] According to another aspect of the present application, a computer readable storage medium is provided, which stores a computer program, and the program is executed by a processor to implement any one of the power demand response baseline determination methods provided by the embodiments of the present application.

[0020] The embodiments of the present application provide a power demand response baseline determination scheme, which constructs an optical storage and charging energy constraint condition according to the power distribution of the grid node connected to the optical storage and charging element in the alternating current power distribution network, performs second-order cone relaxation processing on a power flow constraint model of the alternating current power distribution network to obtain a power flow constraint condition, constructs an operation constraint condition according to the power conservation of the grid node corresponding to the optical storage and charging element and the distribution transformer in the alternating current power distribution network, determines a power demand response baseline according to the power operation cost of the transformer area under the condition that the target constraint condition is met, and wherein the target constraint condition comprises the optical storage and charging energy constraint condition, the power flow constraint condition and the operation constraint condition. The above scheme uses second-order cone relaxation to process the power flow constraint model to obtain the power flow constraint condition, determines the power demand response baseline based on the optical storage and charging energy constraint condition, the power flow constraint condition and the operation constraint condition, determines the power demand response baseline on the basis of fully considering the coupling relationship of the optical storage and charging load, avoids the deviation in the prior art when determining the power demand response baseline of the complex subject, and improves the accuracy of determining the power demand response baseline. Meanwhile, the above scheme determines the power flow constraint condition, considers the internal network structure of the transformer area, and improves the accuracy of the power demand response baseline determination result.

[0021] It is to be understood that the details described in this section are not intended to identify key or critical elements of the embodiments of the application or to limit the scope of the application. Other features of the present application will become apparent from the following description. BRIEF DESCRIPTION OF DRAWINGS

[0022] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the embodiments will be briefly introduced as follows. Obviously, the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained from these drawings without creative labor.

[0023] Figure 1 is a flow chart of a power demand response baseline determination method provided by an embodiment of the present application;

[0024] Figure 2 is a flow chart of a power demand response baseline determination method provided by an embodiment of the present application;

[0025] Figure 3 is a flow chart of a power demand response baseline determination method provided by an embodiment of the present application;

[0026] Figure 4 is a structural schematic diagram of a power demand response baseline determination device provided by an embodiment of the present application;

[0027] Figure 5 is a structural schematic diagram of an electronic device for implementing a power demand response baseline determination method provided by an embodiment of the present application. DETAILED DESCRIPTION

[0028] The present application will be further described in detail below in conjunction with the drawings and embodiments. It can be understood that the specific embodiments described herein are only used to explain the present application, but not to limit the present application. In addition, it should be noted that, for the convenience of description, only the parts related to the present application are shown in the drawings, but not all the structures.

[0029] Embodiment One

[0030] Figure 1 is a flow chart of a power demand response baseline determination method provided by an embodiment of the present application, and the present embodiment can be applied to the case of determining a power demand response baseline. The method can be executed by a power demand response baseline determination device, which can be realized in the form of software and / or hardware, and can be configured in an electronic device carrying a power demand response baseline determination function.

[0031] Referring to Figure 1 the power demand response baseline determination method, comprising:

[0032] S110, constructing a light-storage-charging energy constraint condition according to a power distribution condition of a light-storage-charging element connected to a power grid node in the alternating current power distribution network.

[0033] The power grid node can be a current collection point or a branch collection point in the alternating current power distribution network. The light-storage-charging element can be used to regulate voltage in the alternating current power distribution network. Alternatively, the light-storage-charging element can be used to inject power into the power grid node or absorb power in the power grid node. The embodiments of the present application do not make any limitation on the type of the light-storage-charging element, which can be set by technicians according to experience or set by users according to needs. The power distribution condition refers to the power distribution situation of the light-storage-charging element when regulating voltage in the alternating current power distribution network. The light-storage-charging energy constraint condition can be used to limit the size of energy released or absorbed by the light-storage-charging element when regulating voltage in the alternating current power distribution network.

[0034] In the embodiments of the present application, the light-storage-charging element can include at least one of a photovoltaic inverter, an energy storage element, and an electric vehicle; correspondingly, the light-storage-charging energy constraint condition can include at least one of a photovoltaic inverter constraint condition, an energy storage constraint condition, and an electric vehicle constraint condition.

[0035] The photovoltaic inverter constraint condition can be used to control the change range of power of the photovoltaic inverter when the photovoltaic inverter regulates voltage in the alternating current power distribution network. Specifically, when the light-storage-charging element includes the photovoltaic inverter, the photovoltaic inverter constraint condition can be determined according to the change of the reactive power of the photovoltaic inverter. When the voltage in the alternating current power distribution network is too large, the photovoltaic inverter can absorb the reactive power in the connected power grid node to reduce the voltage in the alternating current power distribution network; when the voltage in the alternating current power distribution network is too small, the light-storage-charging element can inject reactive power into the connected power grid node to increase the voltage in the alternating current power distribution network. The photovoltaic inverter constraint condition can be determined by using the following formula:

[0036]

[0037] Wherein, t is time; i is the power grid node; is any phase in the power grid node i; is the active power of the photovoltaic inverter; is the apparent power of the photovoltaic inverter, which can be determined according to the type and / or model of the photovoltaic inverter; is the maximum reactive power of the photovoltaic inverter injected into the power grid node i; is the minimum reactive power of the photovoltaic inverter injected into the power grid node i.

[0038] It should be noted that the maximum reactive power and the minimum reactive power It can be used as the boundary value of the adjustable reactive power of the photovoltaic inverter, thus constituting the constraint condition of the photovoltaic inverter.

[0039] Among these, energy storage constraints can be used to control the range of energy variation of energy storage elements when regulating voltage in an AC distribution network. Optionally, energy storage constraints may include at least one of the following: the state of charge equation, energy storage capacity constraints, and energy storage charge / discharge constraints. Specifically, the state of charge equation can be used to characterize the state of charge of the energy storage element at the current moment. The state of charge equation can be determined using the following formula:

[0040]

[0041] Among them, E i,t E represents the energy storage charge of the energy storage element at time t. i,t-1 η represents the stored energy charge of the energy storage element at time t-1; ch The charging conversion efficiency of energy storage components; η dis The discharge conversion efficiency of the energy storage element; Let t be the charging power of the energy storage element at time t; Let η be the discharge power of the energy storage element at time t; Δt is the time difference between time t and time t-1. It should be noted that the charging conversion efficiency η in this embodiment of the invention... ch and discharge conversion efficiency η dis There are no restrictions on the size; it can be set by technicians based on their experience.

[0042] Specifically, energy storage capacity constraints can be used to control the amount of energy stored in energy storage devices. Using a 24-hour charge-discharge cycle for the energy storage device, the energy storage capacity constraint can be determined using the following formula:

[0043]

[0044] E i,t＝1 =E i,t＝24 ;

[0045] in, This is the lower limit of the energy storage charge of the energy storage element; E represents the upper limit of the energy storage capacity of the energy storage element. i,t E represents the energy storage charge of the energy storage element at time t. i,t＝1 E represents the energy storage charge of the energy storage element at the first moment. i,t＝24 E represents the energy storage charge of the energy storage element at the last moment. In an optional embodiment, E i,t＝1 and E i,t＝24 The size can be 50% of the maximum charge of the energy storage element.

[0046] It should be noted that the lower limit value in the embodiments of the present invention may be 10% of the maximum charge capacity of the energy storage element may be 90% of the maximum charge capacity of the energy storage element, which has the advantage of ensuring that the energy storage element stores a certain charge-discharge margin to cope with sudden situations of the alternating power distribution network. The maximum charge capacity of the energy storage element can be determined according to the type and / or model of the energy storage element.

[0047] Specifically, the energy storage charge-discharge constraint can be used to control the charge-discharge situation of the energy storage element. The energy storage discharge constraint can include a charge power upper limit constraint, a discharge power upper limit constraint, a charge-discharge state constraint, and a charge-discharge times constraint. The charge power upper limit constraint of the energy storage element can be determined using the following formula:

[0048]

[0049] wherein, is the charge power of the energy storage element at time t; is the charge state of the energy storage element; is the upper limit value of the charge power of the energy storage element.

[0050] The discharge power upper limit constraint of the energy storage element can be determined using the following formula:

[0051]

[0052] wherein, is the discharge power of the energy storage element at time t; is the discharge state of the energy storage element; is the upper limit value of the discharge power of the energy storage element.

[0053] The charge-discharge times constraint of the energy storage element can be determined using the following formula:

[0054]

[0055] wherein, T is the total number of time periods; N is the maximum charge-discharge times of the energy storage element.

[0056] It should be noted that the embodiments of the present application do not make any limitation on the specific values of the charge state and the discharge state of the energy storage element, which can be set by the skilled person according to experience, as long as the specific values of the charge state and the discharge state are within [0, 1], and Generally, in order to avoid damage to the energy storage element caused by simultaneous charge and discharge, in a preferred embodiment, and the charge state and the discharge state is 0 or 1.

[0057] In the embodiment, the electric vehicle constraint condition can be used to limit the voltage adjustment of the electric vehicle in the AC power distribution network. Specifically, the charging pile is connected to a power grid node in the AC power distribution network, and the electric vehicle can charge or discharge the charging pile to adjust the voltage in the AC power distribution network. In an optional embodiment, the electric vehicle constraint condition can be determined based on the electric vehicle participating in the orderly charging. Specifically, the electric vehicle participating in the orderly charging can be assumed to have determined the access and exit time of the charging pile with the AC power distribution network, and the state of charge of the electric vehicle and the like. The charging power of the electric vehicle to the charging pile can be determined by the following formula:

[0058]

[0059] wherein, is the total charging power of the charging pile; is the rated charging power of the charging pile; is the orderly charging state, and the value of the orderly charging state is not specifically limited in the embodiment, and can be set by the skilled person according to experience, as long as the value of the orderly charging state is within [0, 1]. For example, when the orderly charging state is 0, it means that the charging pile suspends charging; when the orderly charging state is 1, it means that the charging pile normally charges.

[0060] At the same time, whether the electric vehicle is in the state of charge conservation during the orderly charging can be determined by the following formula:

[0061]

[0062] wherein, is the state of charge of the electric vehicle when leaving the charging pile; is the state of charge of the electric vehicle when accessing the charging pile; is the orderly charging state; is the charging power of the charging pile; t E is the time when the electric vehicle leaves the charging pile; t S is the time when the electric vehicle accesses the charging pile; and Δt is the time difference.

[0063] Specifically, the light-storage-charging energy constraint condition can be constructed according to any power grid node in the AC power distribution network and the power distribution of the light-storage-charging element connected to the power grid node.

[0064] S120, performing second-order cone relaxation processing on the power flow constraint model of the AC power distribution network to obtain a power flow constraint condition.

[0065] The power flow constraint model can be used to determine a power flow constraint condition of any grid node in the alternating power distribution network. The power flow constraint condition can be used to limit the energy size in the network structure of the alternating power distribution network.

[0066] Specifically, based on the second-order cone relaxation, the power flow constraint model in the alternating power distribution network is processed to obtain the power flow constraint condition.

[0067] S130, according to the power conservation of the grid node corresponding to the light storage charging element and the power distribution transformer in the alternating power distribution network, the operation constraint condition is constructed.

[0068] The operation constraint condition can be used to limit the operation of the light storage charging element and the power distribution transformer. Specifically, the operation constraint condition can include at least one of the power balance constraint, the voltage upper and lower limit constraint, and the three-phase load imbalance constraint.

[0069] Specifically, the power balance constraint can include active power balance constraint and reactive power balance constraint. Exemplarily, the active power balance constraint can be determined by the following formula:

[0070]

[0071] wherein, is the active power injected into the alternating power distribution network by the grid node i; is the active power of the user load; is the active power of the power distribution transformer; is the active power of the photovoltaic inverter; is the total charging power of the charging pile; is the discharge power of the energy storage element at time t; is the charging power of the energy storage element at time t.

[0072] The reactive power balance constraint can be determined by the following formula:

[0073]

[0074] wherein, is the reactive power injected into the alternating power distribution network by the grid node i; is the reactive power of the user load; is the reactive power of the power distribution transformer; is the reactive power of the photovoltaic inverter.

[0075] Exemplarily, the voltage upper and lower limit constraint can be determined by the following formula:

[0076]

[0077] wherein, U is the voltage at grid node i; a U is the lower limit voltage of grid node i; b This represents the upper limit voltage of grid node i. In this embodiment of the invention, the upper limit voltage U... b and lower limit voltage U a The size is not limited in any way and can be set by technicians based on experience. For example, the upper limit voltage U... b The value can be 1.07, and the lower limit voltage U a The value can be 0.9.

[0078] For example, the three-phase load imbalance constraint can be determined using the following formula:

[0079]

[0080] in, The active power of the distribution transformer; PUF max This represents the maximum permissible value for phase-to-phase active power imbalance.

[0081] It should be noted that introducing three-phase unbalance constraints can reduce unbalance losses.

[0082] S140. Under the condition of meeting the target constraints, determine the power demand response baseline based on the power operation cost of the distribution area; wherein, the target constraints include the energy constraints of photovoltaic storage and charging, the power flow constraints, and the operation constraints.

[0083] Among these, target constraints refer to standards used to determine whether a baseline for determining electricity demand response is met. Specifically, target constraints may include at least one of the following: photovoltaic-storage-charging energy constraints, power flow constraints, and operational constraints. Distribution area electricity operating cost refers to the electricity price of any distribution area. It should be noted that distribution area electricity operating cost can be adjusted based on electricity consumption patterns.

[0084] In an optional embodiment, under the condition that the target constraints are met, the power demand response baseline is determined based on the power operation cost of the distribution area, including: taking the power consumption curve of the distribution transformer connected to the grid node when the power operation cost of the distribution area is minimized under the condition that the target constraints are met as the power demand response baseline.

[0085] For example, for any distribution area, under the condition of satisfying the target constraints, the power consumption curve of the distribution transformer connected to the grid node that minimizes the power operating cost of the area can be used as the power demand response baseline for that area. Specifically, the power demand response curve can be determined using the following formula:

[0086]

[0087] Wherein, f buy C is the purchase cost of the distribution transformer; C t C is the purchase cost of the distribution transformer; C P is the active power of the distribution transformer; T is the total time period; minF is the minimum value of the substation power operation cost; P is the active power of the distribution transformer; T is the total time period; minF is the minimum value of the substation power operation cost;

[0088] It can be understood that by taking the power curve of the distribution transformer connected to the grid node at the time when the substation power operation cost is the minimum under the condition of meeting the target constraint condition as the power demand response baseline, the determined power demand response baseline is more in line with the actual demand, and the power consumption cost of the user is reduced while meeting the normal power demand of the user.

[0089] The embodiment of the application provides a power demand response baseline determination scheme, which comprises the following steps: constructing a light storage charging energy constraint condition according to the power distribution of the light storage charging element connected to the grid node in the alternating current distribution network; performing second-order cone relaxation processing on the power flow constraint model of the alternating current distribution network to obtain a power flow constraint condition; constructing an operation constraint condition according to the power conservation of the light storage charging element and the distribution transformer corresponding to the grid node in the alternating current distribution network; determining the power demand response baseline according to the substation power operation cost under the condition of meeting the target constraint condition; wherein the target constraint condition comprises the light storage charging energy constraint condition, the power flow constraint condition and the operation constraint condition. The above scheme uses second-order cone relaxation to process the power flow constraint model to obtain the power flow constraint condition, and determines the power demand response baseline based on the light storage charging energy constraint condition, the power flow constraint condition and the operation constraint condition, so that the power demand response baseline is determined on the basis of fully considering the coupling relationship of the light storage charging load, the deviation in the prior art when the complex subject is determined for the power demand response baseline is avoided, and the accuracy of determining the power demand response baseline is improved. At the same time, the above scheme determines the power flow constraint condition, considers the internal network structure of the substation, and improves the accuracy of the power demand response baseline determination result.

[0090] Embodiment two

[0091] Figure 2is a flow chart of a power demand response baseline determination method provided in Embodiment Two of the present application, and the present embodiment further details the "second-order cone relaxation of the power flow constraint model of the alternating distribution network to obtain the power flow constraint condition" in the above-mentioned embodiments as "determining the power conservation constraint and the node voltage constraint of the grid node according to the connection condition of the target alternating branch where the grid node is located and the impedance information of the connected alternating branch; wherein the target alternating branch where the grid node is located is the alternating branch with the grid node as the end point of the alternating branch; determining the node injection power constraint of the grid node according to the user load power, the adjustment compensation power of the grid node, and the node connection condition and the load connection condition of the grid node; performing second-order cone relaxation on the apparent power conservation constraint in the power conservation constraint to update the power conservation constraint; and generating the power flow constraint condition including the node voltage constraint, the node injection power constraint and the updated power conservation constraint", so as to improve the power flow constraint condition determination mechanism. It should be noted that the parts not described in detail in the present embodiment can be referred to the descriptions of other embodiments.

[0092] Referring to Figure 2 The power demand response baseline determination method shown in the figure comprises the following steps.

[0093] S210, constructing a light storage and charging energy constraint condition according to the power distribution of the grid node connected to the light storage and charging element in the alternating distribution network.

[0094] S220, determining the power conservation constraint and the node voltage constraint of the grid node according to the connection condition of the target alternating branch where the grid node is located and the impedance information of the connected alternating branch; wherein the target alternating branch where the grid node is located is the alternating branch with the grid node as the end point of the alternating branch.

[0095] The impedance information can include the resistance and reactance of the target alternating branch.

[0096] For example, the active power balance constraint and the reactive power balance constraint in the power conservation constraint with i as the end point can be determined by the following formula:

[0097]

[0098] wherein t is time; i is the grid node; k is the target alternating branch; j is the end point of the alternating branch where the grid node i is located; Ω AL is the set of alternating branches; k(i,:) is the alternating branch with the grid node i as the first end in the target alternating branch; k(:,i) is the alternating branch with the grid node i as the end in the target alternating branch; is the active power of the target alternating branch k; is the reactive power of the target alternating branch k; is the current of the target AC branch k; R k is the resistance of the target AC branch k; X k is the reactance of the target AC branch k; is the active power injected by the grid node i; is the reactive power injected by the grid node i.

[0099] Exemplarily, the apparent power conservation constraint in the power conservation constraint can be determined by the following formula:

[0100]

[0101] wherein e is the starting point of the AC branch where the grid node i is located; is the current of the target AC branch k; R is the starting point voltage; is the active power of the target AC branch k; is the reactive power of the target AC branch k; is the apparent power of the target AC branch k.

[0102] Exemplarily, the node voltage constraint can be determined by the following formula:

[0103]

[0104] wherein, is the ending point voltage.

[0105] S230, according to the user load power of the grid node, the adjustment compensation power, and the node connection condition and the load connection condition of the grid node, determine the node injection power constraint of the grid node.

[0106] wherein the size of the adjustment compensation power can be determined according to the type and / or model of the compensation device in the AC distribution network.

[0107] Exemplarily, the node injection power constraint of the grid node can be determined by the following formula:

[0108]

[0109] wherein, is the active power injected by the grid node i; is the reactive power injected by the grid node i; is the active power of the distribution transformer; is the reactive power of the distribution transformer; is the active power of the photovoltaic inverter; is the reactive power of the photovoltaic inverter; is the discharge power of the energy storage element; is the charging power of the energy storage element; active power of the user load; reactive power of the user load; adjusting compensation power.

[0110] S240, second-order cone relaxation is performed on the apparent power conservation constraint in the power conservation constraint to update the power conservation constraint.

[0111] In an optional embodiment, the second-order cone relaxation is performed on the apparent power conservation constraint in the power conservation constraint to update the power conservation constraint, including: replacing the sum of squares of currents and the sum of squares of voltages in the power conservation constraint with different preset identifiers to update the power conservation constraint; and performing second-order cone relaxation on the apparent power conservation constraint in the updated power conservation constraint to update the apparent power conservation constraint again.

[0112] In the embodiment of the application, the specific forms of the preset identifiers are not limited, and can be set by technicians according to experience. For example, the preset identifiers can be and

[0113] Continuing the previous example, the sum of squares of currents and the sum of squares of voltages in the power conservation constraint is replaced with different preset identifiers by using the following formula:

[0114]

[0115] wherein, is the current of the target AC branch k; is the starting voltage.

[0116] Continuing the previous example, the apparent power conservation constraint in the power conservation constraint is updated, and the updated apparent power conservation constraint is:

[0117]

[0118] wherein, is the square of the current of the target AC branch k; is the square of the starting voltage; is the active power of the target AC branch k; is the reactive power of the target AC branch k.

[0119] Continuing the previous example, second-order cone relaxation is performed on the updated apparent power conservation constraint to obtain the apparent power conservation constraint updated again:

[0120]

[0121] According to the apparent power conservation constraint updated again, the power conservation constraint is updated.

[0122] It can be understood that by introducing the preset identifier, the square of the current in the power conservation constraint and the square of the voltage are replaced to reduce the amount of calculation.

[0123] It should be noted that the node voltage constraint can also be updated according to the first updating mode of the apparent power conservation constraint, so as to reduce the amount of calculation. For example, the updated node voltage constraint can be:

[0124]

[0125] wherein, is the square of the terminal voltage; is the square of the starting voltage; is the square of the current of the target AC branch k.

[0126] S250, generating a power flow constraint condition including the node voltage constraint, the node injection power constraint and the updated power conservation constraint.

[0127] Specifically, the power flow constraint condition can be determined according to the node voltage constraint, the node injection power constraint and the updated power conservation constraint.

[0128] S260, constructing an operation constraint condition according to the power conservation of the grid node corresponding to the light storage charging element and the distribution transformer in the AC distribution network.

[0129] S270, determining a power demand response baseline according to the power operation cost of the transformer area under the condition of meeting the target constraint condition; wherein the target constraint condition includes the light storage charging energy constraint condition, the power flow constraint condition and the operation constraint condition.

[0130] The embodiment of the application provides a power demand response baseline determination scheme, which determines the power conservation constraint and the node voltage constraint of the grid node according to the connection condition of the target AC branch where the grid node is located and the impedance information of the connected AC branch; wherein the target AC branch where the grid node is located is the AC branch when the grid node is the end point of the AC branch; determines the node injection power constraint of the grid node according to the user load power, the adjustment compensation power of the grid node and the node connection condition and the load connection condition of the grid node; the second-order cone relaxation is performed on the apparent power conservation constraint in the power conservation constraint to update the power conservation constraint; the power flow constraint condition including the node voltage constraint, the node injection power constraint and the updated power conservation constraint is generated, and the determination mechanism of the power flow constraint condition is improved. The above scheme performs second-order updating on the apparent power conservation constraint through second-order cone relaxation, reduces the amount of calculation, and improves the accuracy of the power flow constraint condition.

[0131] Embodiment three

[0132] Figure 3 is a flowchart of a power demand response baseline determination method provided by Embodiment Three of the present application, and the present embodiment further adds, after "determining the power demand response baseline according to the power operation cost of the transformer area in the case of meeting the target constraint condition; wherein the target constraint condition includes the light storage charging energy constraint condition, the power flow constraint condition and the operation constraint condition", "updating the operation constraint condition in the target constraint condition according to the demand response power of the demand response equipment; determining the maximum demand response amount when the demand response equipment is introduced in the case of meeting the updated target constraint condition", so as to perfect the updating mechanism of the target constraint condition. It should be noted that the parts not described in detail in the present embodiment can be referred to the descriptions of other embodiments.

[0133] Referring to the power demand response baseline determination method shown in Figure 3 , the method comprises the following steps.

[0134] S310, constructing a light storage charging energy constraint condition according to the power distribution of the light storage charging element connected to the grid node in the alternating current power distribution network.

[0135] S320, performing second-order cone relaxation processing on the power flow constraint model of the alternating current power distribution network to obtain the power flow constraint condition.

[0136] S330, constructing an operation constraint condition according to the power conservation of the light storage charging element and the power distribution transformer corresponding to the grid node in the alternating current power distribution network.

[0137] S340, determining the power demand response baseline according to the power operation cost of the transformer area in the case of meeting the target constraint condition; wherein the target constraint condition includes the light storage charging energy constraint condition, the power flow constraint condition and the operation constraint condition.

[0138] S350, updating the operation constraint condition in the target constraint condition according to the demand response power of the demand response equipment.

[0139] The demand response equipment can be an electrical equipment connected to the grid node. The demand response power refers to the power consumption of the demand response equipment when in use.

[0140] In the present embodiment, in order to update the operation constraint condition in the target constraint condition according to the demand response power of the demand response equipment, the maximum demand response amount of the demand response equipment can be determined according to the determined power demand response baseline. First, the demand response amount of the demand response equipment at the power consumption peak can be determined through the following formula:

[0141]

[0142] wherein W DR is the demand response amount of the demand response equipment. the load as the power demand response baseline; the active power of the distribution transformer; Δt is the time difference; t p the peak period of electricity consumption.

[0143] Further, the demand response device is connected to the alternating power distribution network, and the maximum demand response amount when the demand response device is introduced is determined.

[0144] Exemplarily, the active power balance constraint in the operation constraint condition can be updated by the following formula:

[0145]

[0146] wherein, the active power injected into the alternating power distribution network by the grid node i; the active power of the user load; the active power of the demand response device load; the active power of the distribution transformer; the active power of the photovoltaic inverter; the total charging power of the charging pile.

[0147] Exemplarily, the reactive power balance constraint in the operation constraint condition can be updated by the following formula:

[0148]

[0149] wherein, the reactive power injected into the alternating power distribution network by the grid node i; the reactive power of the user load; the reactive power of the demand response device load; the reactive power of the distribution transformer; the reactive power of the photovoltaic inverter.

[0150] S360, determine the maximum demand response amount when the demand response device is introduced under the condition that the updated target constraint condition is met.

[0151] wherein, the maximum demand response amount refers to the maximum power consumption of the demand response device when it is used.

[0152] Exemplarily, under the condition that the updated target constraint condition is met, the maximum demand response amount curve when the demand response device is introduced is determined by the following formula:

[0153]

[0154] wherein, maxW DR the maximum demand response amount; a load as a power demand response baseline; active power of a variable distribution transformer; and Δt is a time difference.

[0155] The embodiment of the present application provides a power demand response baseline determination scheme, which updates an operation constraint condition in a target constraint condition according to a demand response power of a demand response device; and determines a maximum demand response amount when the demand response device is introduced, under the condition that the updated target constraint condition is met, to improve the updating mechanism of the target constraint condition. The above scheme updates the target constraint condition, determines the maximum demand response amount according to the updated target constraint condition, and improves the accuracy of the determined maximum demand response amount; meanwhile, the distribution transformer, the light storage charging element and the demand response device are regarded as a whole to determine the maximum demand response amount, so that the small and medium-sized users can participate in the determination of the maximum demand response amount due to the small capacity, and the applicability of the maximum demand response amount is improved.

[0156] On the basis of the above embodiment, the demand response cost can be determined according to the determined maximum demand response amount. In an optional embodiment, the maximum demand response amount can be divided to obtain at least one maximum demand response slice; and the demand response cost is determined according to the substation power operation cost of each maximum demand response slice after the demand response device is introduced, under the condition that the updated target constraint condition is met.

[0157] The maximum demand response slice can be at least part of the maximum demand response amount. The demand response cost refers to the minimum electricity cost of using the demand response device.

[0158] For example, at least one maximum demand response slice can be obtained by the following formula:

[0159]

[0160] wherein, W DR,k is the maximum demand response slice; n is the number of divisions; k is the kth division; maxW DR is the maximum demand response amount. The size of n is not limited in the embodiment of the present application, and can be set by the technical personnel according to experience.

[0161] After at least one maximum demand response slice is obtained, the minimum substation power operation cost of each maximum demand response slice under the substation is determined, and then the demand response cost is determined. Specifically, the demand response cost is determined according to the substation power operation cost of each maximum demand response slice after the demand response device is introduced, under the condition that the updated target constraint condition is met, including: the demand response cost is determined when the substation power operation cost of each maximum demand response slice after the demand response device is introduced is the minimum, under the condition that the updated target constraint condition is met.

[0162] Exemplarily, the increased demand response cost curve can be determined by the following formula:

[0163]

[0164] Wherein, minF k is the minimum substation power operation cost; f buy is the power purchase cost of the distribution transformer; f DR is the demand response cost.

[0165] Wherein, C t is the power purchase price at t moment; is the active power injected by the distribution transformer into the grid node i; C DR,t is the demand response price at t moment; is the active power of the demand response device load.

[0166] It can be understood that by determining the minimum substation power operation cost of each maximum demand response slice, and then determining the demand response cost, the accuracy of determining the demand response cost is higher, and the accuracy of the demand response cost curve is improved; and according to the demand response cost, the subsequent substation in formulating the demand response amount, on the basis of meeting the user's electricity demand, reduces the user's electricity cost, guarantees the user's comfort, and greatly improves the user's electricity economic benefit.

[0167] It can be understood that by dividing the maximum demand response amount, determining the substation power operation cost of each divided maximum demand response slice, and then determining the demand response cost, the situation that the accuracy of the demand response cost is low when the demand response cost is determined according to the whole maximum demand response amount is avoided, the accuracy of determining the demand response cost is improved, and then the accuracy of the demand response cost curve is improved; and the maximum demand response amount is divided, the response potential of the user side is fully tapped, and the light storage charging element and the demand response device are mobilized as a whole to smooth the demand and ensure the safe and stable operation of the alternating current distribution network.

[0168] Embodiment Four

[0169] Figure 4 is a structural schematic diagram of a power demand response baseline determination device provided by the embodiment four of the present application, the embodiment can be applicable to the case of determining the power demand response baseline, the method can be executed by the power demand response baseline determination device, the device can be realized in the form of software and / or hardware, and can be configured in an electronic device carrying the power demand response baseline determination function.

[0170] AsFigure 4 As shown in the figure, the device comprises an energy constraint condition construction module 410, a power flow constraint condition acquisition module 420, an operation constraint condition construction module 430 and a baseline determination module 440. Among them,

[0171] The energy constraint condition construction module 410 is configured to construct the light-storage-charging energy constraint condition according to the power distribution of the light-storage-charging element connected to the grid node in the alternating current power distribution network.

[0172] The power flow constraint condition acquisition module 420 is configured to perform second-order cone relaxation processing on the power flow constraint model of the alternating current power distribution network to obtain the power flow constraint condition.

[0173] The operation constraint condition construction module 430 is configured to construct the operation constraint condition according to the power conservation of the corresponding light-storage-charging element and distribution transformer of the grid node in the alternating current power distribution network.

[0174] The baseline determination module 440 is configured to determine the power demand response baseline according to the power operation cost of the transformer area under the condition of meeting the target constraint condition. The target constraint condition comprises the light-storage-charging energy constraint condition, the power flow constraint condition and the operation constraint condition.

[0175] The embodiment of the present application provides a power demand response baseline determination scheme. The light-storage-charging energy constraint condition is constructed by the energy constraint condition construction module according to the power distribution of the light-storage-charging element connected to the grid node in the alternating current power distribution network. The power flow constraint condition is obtained by performing second-order cone relaxation processing on the power flow constraint model of the alternating current power distribution network by the power flow constraint condition acquisition module. The operation constraint condition is constructed by the operation constraint condition construction module according to the power conservation of the corresponding light-storage-charging element and distribution transformer of the grid node in the alternating current power distribution network. The power demand response baseline is determined by the baseline determination module according to the power operation cost of the transformer area under the condition of meeting the target constraint condition. The target constraint condition comprises the light-storage-charging energy constraint condition, the power flow constraint condition and the operation constraint condition. The above scheme uses second-order cone relaxation to process the power flow constraint model to obtain the power flow constraint condition, and determines the power demand response baseline based on the light-storage-charging energy constraint condition, the power flow constraint condition and the operation constraint condition, so as to determine the power demand response baseline on the basis of fully considering the coupling relationship of the light-storage-charging load, avoid the deviation in the determination of the power demand response baseline of the complex subject in the prior art, and improve the accuracy of the determination of the power demand response baseline. At the same time, the above scheme determines the power flow constraint condition to consider the internal network structure of the transformer area, and improves the accuracy of the determination result of the power demand response baseline.

[0176] Optionally, the power flow constraint condition acquisition module 420 comprises:

[0177] The constraint determination unit is configured to determine power conservation constraints and node voltage constraints of the grid node according to connection conditions of the target AC branch where the grid node is located and impedance information of the connected AC branch; the target AC branch where the grid node is located is an AC branch with the grid node as an end point of the AC branch.

[0178] The power constraint determination unit is configured to determine node injection power constraints of the grid node according to user load power, adjustment compensation power of the grid node, and node connection conditions and load connection conditions of the grid node.

[0179] The power conservation constraint updating unit is configured to perform second-order cone relaxation on the apparent power conservation constraint in the power conservation constraint to update the power conservation constraint.

[0180] The power flow constraint condition determination unit is configured to generate power flow constraint conditions including the node voltage constraint, the node injection power constraint, and the updated power conservation constraint.

[0181] Optionally, the power conservation constraint updating unit is specifically configured to:

[0182] Replace the sum of squares of currents and the sum of squares of voltages in the power conservation constraint with different preset identifiers to update the power conservation constraint.

[0183] Perform second-order cone relaxation on the apparent power conservation constraint in the updated power conservation constraint to update the apparent power conservation constraint.

[0184] Optionally, the baseline determination module 440 includes:

[0185] The power demand response baseline determination unit is configured to take an electricity quantity curve of a distribution transformer connected to the grid node at which the power demand response baseline is located as the power demand response baseline when the power operation cost of the transformer is the lowest under the target constraint condition.

[0186] Optionally, the apparatus further includes:

[0187] The operation constraint condition updating module is configured to update the operation constraint condition in the target constraint condition according to the demand response power of the demand response device.

[0188] The maximum demand response amount determination module is configured to determine a maximum demand response amount when the demand response device is introduced under the updated target constraint condition.

[0189] Optionally, the apparatus further includes:

[0190] The response slice acquisition module is configured to divide the maximum demand response amount to obtain at least one maximum demand response slice.

[0191] The demand response cost determination module is configured to determine the demand response cost according to the substation power operation cost of each maximum demand response slice after the introduction of the demand response device under the condition that the updated target constraint condition is met.

[0192] Optionally, the demand response cost determination module comprises:

[0193] The demand response cost increasing unit is configured to determine the increased demand response cost when the substation power operation cost of each maximum demand response slice after the introduction of the demand response device is the minimum under the condition that the updated target constraint condition is met.

[0194] The power demand response baseline determination device provided by the embodiments of the present application can execute the power demand response baseline determination method provided by any of the embodiments of the present application, and has the corresponding function modules and beneficial effects of executing each power demand response baseline determination method.

[0195] In the technical solution of the present application, the collection, storage, use, processing, transmission, provision and disclosure of the power distribution, power conservation, substation power operation cost, power demand response baseline, connection, impedance information, user load power, adjustment compensation power, node connection, load connection and the like are in line with the relevant legal regulations and do not violate public order and good customs.

[0196] Embodiment five

[0197] Figure 5 Fig. 5 is a structural schematic diagram of an electronic device for implementing the power demand response baseline determination method according to the fifth embodiment of the present application. The electronic device 510 is intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device can also represent various forms of mobile devices, such as personal digital assistants, cellular telephones, smart phones, wearable devices (such as helmets, glasses, watches, etc.), and other similar computing devices. The components shown here, their connections, and their functions, as well as the software implemented by the electronic device, are meant only to be examples and are not intended to limit the present application as described and / or claimed in this document.

[0198] As Figure 5As shown, the electronic device 510 includes at least one processor 511, and a memory, such as a read-only memory (ROM) 512, a random access memory (RAM) 513, and the like, which is communicatively connected to the at least one processor 511. The memory stores a computer program that can be executed by the at least one processor, and the processor 511 can perform various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 512 or loaded from the storage unit 518 into the random access memory (RAM) 513. In the RAM 513, various programs and data required for the operation of the electronic device 510 can also be stored. The processor 511, the ROM 512, and the RAM 513 are connected to each other through a bus 514. An input / output (I / O) interface 515 is also connected to the bus 514.

[0199] Various components in the electronic device 510 are connected to the I / O interface 515, including an input unit 516, such as a keyboard, a mouse, and the like, an output unit 517, such as various types of displays, a speaker, and the like, a storage unit 518, such as a magnetic disk, an optical disk, and the like, and a communication unit 519, such as a network card, a modem, a wireless communication transceiver, and the like. The communication unit 519 allows the electronic device 510 to exchange information / data with other devices through a computer network, such as the Internet, and / or various telecommunication networks.

[0200] The processor 511 can be various general and / or special purpose processing components with processing and computing capabilities. Some examples of the processor 511 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any appropriate processor, controller, microcontroller, and the like. The processor 511 performs various methods and processes described above, such as the power demand response baseline determination method.

[0201] In some embodiments, the power demand response baseline determination method can be implemented as a computer program tangibly embodied in a computer readable storage medium, such as the storage unit 518. In some embodiments, part or all of the computer program can be loaded and / or installed onto the electronic device 510 via the ROM 512 and / or the communication unit 519. When the computer program is loaded into the RAM 513 and executed by the processor 511, one or more steps of the power demand response baseline determination method described above can be performed. Alternatively, in other embodiments, the processor 511 can be configured to perform the power demand response baseline determination method by any other appropriate means, such as by means of firmware.

[0202] The various embodiments of the systems and techniques described above can be implemented in digital electronic circuitry, integrated circuitry, a field programmable gate array (FPGA), an application specific integrated circuit (ASIC), a system on a chip (SOC), a load programmable logic device (CPLD), computer hardware, firmware, software, and / or combinations thereof. These various embodiments can include implementation in one or more computer programs that are executable and / or interpretable on a programmable system including at least one programmable processor, which can be special or general purpose, coupled to receive data and instructions from, and to transmit data and instructions to, a storage system, at least one input device, and at least one output device.

[0203] Computer programs used to implement the processes of the application can be written in any combination of one or more programming languages. These computer programs can be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer program, when executed, can cause instructions defined in the flow charts and / or block diagrams to be implemented on the computer or other programmable apparatus. The computer programs can be executed entirely on a machine, partially on a machine, partially on a machine as a stand-alone software package, partially on a machine and partially on a remote machine or entirely on a remote machine or server.

[0204] In the context of the present application, a computer-readable storage medium can be a tangible medium that can contain or store computer programs for use by or in connection with an instruction execution system, apparatus, or device. Computer-readable storage media can include, but are not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. Alternatively, a computer-readable storage medium can be a machine-readable signal medium. More specific examples of the machine-readable storage medium will include one or more lines of electrical connections, portable computer disks, hard disk drives, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or Flash memory), optical fibers, portable compact disc read-only memories (CD-ROMs), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0205] To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user and a keyboard and a pointing device (e.g., a mouse or a trackball) by which the user can provide input to the electronic device. Other kinds of devices can be used to provide for interaction with a user as well; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form, including acoustic, speech, or tactile input.

[0206] The systems and techniques described here can be implemented in a computing system that includes a back end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front end component (e.g., a user computer having a graphical user interface or a Web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back end, middleware, or front end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0207] The computing system can include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. A server can be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system, to solve the defects of large management difficulty and weak business scalability in traditional physical host and VPS service.

[0208] It should be understood that the various forms of flow shown above can be re-ordered, added to, or deleted from without departing from the scope of the present disclosure. For example, the steps recited in the present disclosure can be executed in parallel, executed in sequence, or executed in a different order, as long as the desired results of the present disclosure are achieved, and the present disclosure is not limited herein.

[0209] The specific embodiments described above are not intended to be limiting, and persons skilled in the art will appreciate that various modifications, combinations, sub-combinations and alternatives can be made to the specific embodiments without departing from the spirit and principles of the disclosure. Accordingly, the disclosure is not limited to the specific embodiments described above, but only by the scope of the appended claims.

Claims

1. A method for determining the baseline of electricity demand response, characterized in that, include: Based on the power distribution of the photovoltaic, energy storage and charging components connected to the grid nodes in the AC distribution network, energy constraints for photovoltaic, energy storage and charging are constructed. The power flow constraint model of the AC distribution network is subjected to second-order cone relaxation to obtain the power flow constraint conditions; Based on the power conservation of the photovoltaic, energy storage, and charging components and distribution transformers corresponding to the grid nodes in the AC distribution network, operational constraints are constructed. Under the condition that the target constraints are met, the power demand response baseline is determined based on the power operation cost of the distribution area; wherein, the target constraints include the photovoltaic-storage-charging energy constraints, the power flow constraints, and the operation constraints; The step of determining the power demand response baseline based on the power operation cost of the distribution area, while meeting the target constraints, includes: The power consumption curve of the distribution transformer connected to the grid node that minimizes the power operating cost of the distribution area under the aforementioned target constraints will be used as the power demand response baseline.

2. The method according to claim 1, characterized in that, The second-order cone relaxation process is applied to the power flow constraint model of the AC distribution network to obtain the power flow constraint conditions, including: Based on the connection status of the target AC branch where the power grid node is located and the impedance information of the connected AC branch, the power conservation constraint and node voltage constraint of the power grid node are determined respectively; wherein, the target AC branch where the power grid node is located is the AC branch when the power grid node is the endpoint of the AC branch. Based on the user load power, regulation and compensation power, node connection status and load connection status of the power grid node, determine the node injection power constraint of the power grid node; A second-order cone relaxation is performed on the apparent power conservation constraint in the power conservation constraint to update the power conservation constraint; Generate power flow constraints that include the node voltage constraints, the node injected power constraints, and the updated power conservation constraints.

3. The method according to claim 2, characterized in that, The step of performing second-order cone relaxation on the apparent power conservation constraint in the power conservation constraint to update the power conservation constraint includes: The power conservation constraint is updated by replacing the squares of the current and the squares of the voltage with different preset identifiers. The apparent power conservation constraint in the updated power conservation constraint is subjected to second-order cone relaxation to update the apparent power conservation constraint a second time.

4. The method according to any one of claims 1-3, characterized in that, The method further includes: Update the operational constraints in the target constraints based on the demand response power of the demand response equipment. Determine the maximum demand response amount when the demand response device is introduced, provided that the updated target constraints are met.

5. The method according to claim 4, characterized in that, The method further includes: The maximum demand response volume is divided to obtain at least one maximum demand response segment; Under the condition that the updated target constraints are met, the demand response cost is determined based on the power operation cost of each of the maximum demand response segments after the introduction of demand response equipment.

6. The method according to claim 5, characterized in that, Under the condition of satisfying the updated target constraints, the demand response cost is determined based on the power operation cost of each of the maximum demand response segments after the introduction of demand response equipment, including: Under the condition of satisfying the updated target constraints, determine the increase in demand response cost for each of the maximum demand response segments when the operating cost of the transformer area after the introduction of response equipment is minimized.

7. A device for determining a power demand response baseline, characterized in that, include: The energy constraint construction module is used to construct the energy constraints of photovoltaic energy storage and charging based on the power distribution of the photovoltaic energy storage and charging elements connected to the grid nodes in the AC distribution network. The power flow constraint condition acquisition module is used to perform second-order cone relaxation processing on the power flow constraint model of the AC distribution network to obtain the power flow constraint conditions. The operation constraint construction module is used to construct operation constraints based on the power conservation of the photovoltaic, energy storage and charging elements and distribution transformers corresponding to the grid nodes in the AC distribution network. The baseline determination module is used to determine the power demand response baseline based on the power operation cost of the distribution area, while meeting the target constraints; wherein, the target constraints include the photovoltaic-storage-charging energy constraint, the power flow constraint, and the operation constraint. Specifically, the baseline determination module is used to take the power consumption curve of the distribution transformer connected to the grid node that minimizes the power operation cost of the distribution area under the condition of satisfying the target constraints as the power demand response baseline.

8. An electronic device, characterized in that, include: One or more processors; Memory, used to store one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement a power demand response baseline determination method as described in any one of claims 1-6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, When executed by a processor, the program implements a method for determining a power demand response baseline as described in any one of claims 1-6.

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