Flexible interconnection power distribution network voltage optimization control method considering flexible interconnection switch access

Abstract

The invention discloses a flexible interconnection power distribution network voltage optimization control method considering flexible interconnection switch access, and belongs to the technical field of power system operation control, and the method comprises the steps: 1, building a target function considering the total voltage deviation, the total line loss, the total loss cost of a flexible interconnection switch and the net load deviation of a power distribution network; 2, establishing an overall model of the flexible interconnection power distribution network voltage optimization control method considering the flexible interconnection switch and the distributed photovoltaic access; and 3, solving the overall nonlinear optimization model by using a second-order cone programming algorithm to obtain a voltage optimization control result. According to the invention, the voltage of the power distribution network can be optimally controlled by accessing the flexible interconnection switch into the flexible interconnection power distribution network, and the problems and phenomena of instantaneous heavy load or overload of the power distribution network, insufficient existing capacity utilization rate, insufficient distributed power generation permeability and the like are obviously improved.

Description

Technical Field

[0001] The invention relates to a flexible interconnection distribution network voltage optimization control method considering the access of flexible interconnection switches, and belongs to the technical field of power system operation control. Background Art

[0002] As an important part of the power system, the distribution network is frequently overloaded and over-limited due to the increasing number of distributed photovoltaic and load centralized access to the distribution network and the diversification of electricity demand. Flexible multi-state switches play an important role in power flow optimization, feeder balancing, and improving voltage distribution of the distribution network due to their high control flexibility, fast response speed, and low action cost. Selecting flexible interconnected switches to access the distribution network to achieve power mutual assistance and load balancing is one of the solutions to solve the instantaneous heavy load or overload of the distribution network, the insufficient utilization of existing capacity, and the insufficient penetration of distributed generation.

[0003] The flexible interconnection switch is a power electronic device that replaces the traditional tie switch and can perform real-time power control. It can close the loop in the network without negatively affecting the propagation of fault current. Introducing the concept of flexible interconnection switch in the distribution network can realize the power flow control of specific areas of the power grid and the voltage control of the nodes connected by the soft open point.

[0004] Since the power regulation of the flexible interconnected switch is continuously changing, its operation optimization problem is expanded from a single time section to a continuous time series, which significantly increases the complexity of the optimization calculation. In practical applications, the existing time series optimization model solution methods have the following problems: On the one hand, these methods are highly dependent on the initial value. If the initial value is not set properly, the optimization process may not converge or fall into the local optimum, resulting in inaccurate scheduling results; on the other hand, due to the high randomness (such as the uncertainty of renewable energy) and non-convexity of the optimization problem, traditional methods are often difficult to effectively cope with the complex solution process, resulting in too long calculation time or even inability to complete the solution.

[0005] In actual scenarios, these shortcomings may have serious consequences. For example, when there are large fluctuations in photovoltaic output or load demand, the optimization algorithm may not be able to provide a reliable regulation solution in time, resulting in the system being unable to respond quickly, thereby increasing the risk of grid operation. In addition, inaccurate regulation solutions may also lead to waste of energy resources, making it difficult to achieve goals, and even affecting users' economic benefits and energy experience. Therefore, when faced with the dynamic optimization problem of continuous regulation of flexible interconnected switches, existing methods are difficult to meet actual needs and urgently need to be improved and optimized. Summary of the invention

[0006] The present invention aims to solve the deficiencies of the above-mentioned prior art and proposes a flexible interconnected distribution network voltage control optimization model based on flexible interconnected switches, in order to ensure that the distribution network voltage operates at a desired level while reducing system losses, reducing the operating costs of flexible interconnected switches and smoothing peak and valley loads, thereby achieving significant improvements in problems and phenomena such as instantaneous heavy load or overload of the distribution network, insufficient existing capacity utilization and distributed power generation penetration.

[0007] In order to achieve the above-mentioned purpose, the present invention adopts the following technical scheme:

[0008] The invention provides a method for optimizing voltage control of a flexible interconnected distribution network taking into account the access of a flexible interconnected switch, and the method comprises the following steps:

[0009] Step 1: Use equations (1) to (4) to respectively establish the objective function f1 of the total voltage deviation of the distribution network at time t, the objective function f2 of the total line loss, the objective function f3 of the total loss cost of the flexible interconnection switch, and the objective function f4 of the net load deviation:

[0010]

[0011] In formula (1) to formula (4), T represents the total time period, N n Represents the serial number set of distribution network nodes, N b Indicates the sequence number set of distribution network branches; U i,t represents the voltage of the ith node at time t, represents the safe voltage range of the i-th node at time t; and They represent the lower and upper limits of the voltage on the ith node at time t, respectively, and r ij Represents the resistance value of the line between the i-th node and the j-th node, I ij,t represents the current value flowing through the line between the i-th node and the j-th node at time t, Represents the loss cost coefficient of the flexible interconnect switch SOP, represents the internal power loss of the flexible interconnection switch SOP connected to the i-th node at time t; represents the active output of distributed photovoltaic PV at the i-th node at time t, represents the active power of the load on the i-th node at time t, It represents the average load of the distribution network in the T period;

[0012] Step 2: Establish a voltage optimization control model for a flexible interconnected distribution network considering the flexible interconnected switches and distributed photovoltaic access;

[0013] Step 2.1: According to formula (5), the objective function F of the voltage optimization control model of the flexible interconnected distribution network is established:

[0014] F=min(ω1f1+ω2f2+ω3f3+ω4f4) (5)

[0015] In formula (5), ω1, ω2, ω3, and ω4 represent the weight coefficients of the four objective functions respectively;

[0016] Step 2.2, establish the constraint conditions of the voltage optimization control model of the flexible interconnected distribution network;

[0017] Step 3: Linearize the objective function, relax the constraints and perform standard second-order cone transformation:

[0018] Step 4: Under the constraints after relaxation and standard second-order cone conversion, the linearized objective function is optimized and solved using the second-order cone programming algorithm to obtain the voltage optimization control result that minimizes the objective function, including: the total voltage deviation, total line loss, total loss cost and net load deviation of the distribution network in the T period, and the voltage U of the i-th node of the distribution network at time t. i,t .

[0019] The method for optimizing voltage control of a flexible interconnected distribution network considering the access of a flexible interconnected switch according to the present invention is also characterized in that step 2.2 includes the following steps:

[0020] Step 2.2.1: Determine the power flow constraints of the distribution network using equations (6) to (8):

[0021]

[0022] In formula (6) to formula (8), p ij,t and q ij,t They represent the active power and reactive power of the line between the i-th node and the j-th node at time t respectively; p jk,t and q jk,t They represent the active power and reactive power of the line between the ith node and the kth node at time t, respectively. ij and x ij Respectively represent the resistance and reactance of the line between the i-th node and the j-th node, I ij,t represents the current value flowing through the line between the i-th node and the j-th node at time t, p j,t and q j,t They represent the active power and reactive power injected into the jth node at time t, respectively, and U i,t and U j,t Respectively represent the voltage values ​​of the i-th node and the j-th node at time t;

[0023] Step 2.2.2: Determine the node power constraint using equation (9):

[0024]

[0025] In formula (9), and They represent the active power and reactive power generated by the distributed photovoltaic PV at the jth node at time t respectively; and They represent the active power and reactive power of the flexible switch SOP input to the j-th node at time t respectively; and They represent the active power and reactive power consumed by the load connected to the jth node at time t respectively;

[0026] Step 2.2.3: Determine the node voltage and branch current safety constraints using equations (10) and (11):

[0027]

[0028] In formula (10) and formula (11), It represents the maximum current allowed to flow through the line between the i-th node and the j-th node at time t;

[0029] Step 2.2.4: Determine the distributed photovoltaic operation constraints using equations (12) to (15):

[0030]

[0031]

[0032] In formula (12) to formula (15), and They represent the actual active output value and active output reference value of the distributed photovoltaic PV at the i-th node at time t, express and The deviation between represents the reactive power output of distributed photovoltaic at the i-th node at time t, Represents the tangent value of the power factor angle of the distributed photovoltaic PV at the i-th node, represents the capacity of distributed photovoltaic PV at the i-th node, Γ PV represents the uncertainty power budget of distributed photovoltaic PV;

[0033] Step 2.2.5: Determine the operating constraints of the flexible interconnection switch using equations (16) to (19):

[0034]

[0035] In formula (16) to formula (19), and They represent the active power injected into the i-th node and the j-th node by the flexible interconnection switch SOP at time t respectively; and They represent the active power loss of the flexible interconnection switch SOP at the i-th node and the j-th node at time t, and represents the loss coefficient of the flexible interconnection switch at the i-th node and the j-th node, and They represent the reactive power injected into the i-th node and the j-th node by the flexible interconnection switch SOP at time t, and They represent the minimum and maximum values ​​of the active power injected into the i-th node by the flexible interconnection switch SOP at time t respectively; and They represent the minimum and maximum values ​​of the reactive power injected into the jth node by the flexible interconnection switch SOP at time t, and Represents the capacity of the flexible interconnection switch SOP at the i-th node and the j-th node.

[0036] Further, step 3 includes the following steps:

[0037] Step 3.1: Use equations (20) and (21) to obtain the linearized total voltage deviation objective function f1′ and the linearized total line loss objective function f2′:

[0038]

[0039] In formula (20)-formula (21), V i,t represents the linearized voltage of the ith node at time t, l ij,t represents the linearized current value flowing through the line between the i-th node and the j-th node at time t; where,

[0040] Step 3.2: Use equation (22) and equation (24) to construct the total voltage deviation objective function f1″ after quadratic linearization and the net load deviation objective function f4′ after linearization:

[0041]

[0042] In formula (22) to formula (24), It represents the absolute value of the difference between the linearized voltage at the ith node at time t and the square value of the minimum voltage allowed at the ith node at time t, that is, It represents the absolute value of the difference between the linearized voltage at the ith node at time t and the square value of the maximum voltage allowed at the ith node at time t, that is, N i,t The linearized auxiliary variable representing the net load deviation at the ith node at time t is:

[0043] Step 3.3, using formula (25) to obtain the objective function F′ of the linearized flexible interconnected distribution network voltage optimization control model;

[0044] F′=min(ω1f1″+ω2f2′+ω3f3+ω4f4′) (25)

[0045] Step 3.4: Use equations (26) and (27) to relax equation (17) and perform standard second-order cone transformation:

[0046]

[0047]

[0048] In formula (27), ||·||2 represents the 2-norm;

[0049] Step 3.5: Linearize equations (6) to (11) using equations (28) to (32):

[0050]

[0051] Step 3.6: Use equations (33) and (34) to convert equations (14) and (19) into rotation cone constraints:

[0052]

[0053] The present invention provides an electronic device, comprising a memory and a processor, wherein the memory is used to store a program that supports the processor to execute a voltage optimization control model of a flexible interconnected distribution network accessed by the flexible interconnected switches and distributed photovoltaics, and the processor is configured to execute the program stored in the memory.

[0054] The present invention provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, executes the steps of the method for optimizing the voltage of a flexible interconnected distribution network taking into account the access of flexible interconnected switches.

[0055] Compared with the prior art, the present invention has the following beneficial effects:

[0056] 1. The present invention takes into account the optimization of the distribution network operation model of flexible interconnection switches and distributed photovoltaics, takes the weighted sum of the total voltage deviation of the distribution system, the total line loss, the total loss cost of the flexible interconnection switch and the net load deviation as the minimum objective function, and uses flexible interconnection switches to perform voltage control in the distribution network to ensure that the distribution network voltage operates at a desired level, and on this basis effectively reduces the total system loss, the total loss of the flexible interconnection switch and smoothes the peak and valley loads.

[0057] 2. The present invention adopts convex relaxation technology to transform the distribution network voltage control optimization model based on flexible interconnected switches into a second-order cone model. While ensuring the optimality of the solution, it greatly improves the solution efficiency of the model, thereby reducing system losses, reducing the operating costs of flexible interconnected switches and smoothing peak and valley loads. It is suitable for use in scenarios such as optimizing the operation and economic dispatch of distribution networks through flexible interconnected switches. BRIEF DESCRIPTION OF THE DRAWINGS

[0058] Figure 1 Flow chart of the method of the present invention. DETAILED DESCRIPTION

[0059] In this embodiment, a flexible interconnection distribution network voltage optimization control method considering the access of flexible interconnection switches has four optimization objectives: total voltage deviation of the power system distribution network, total line loss, total loss cost of flexible interconnection switches, and net load deviation. Figure 1 As shown, the method comprises the following steps:

[0060] Step 1: Use equations (1) to (4) to respectively establish the objective function f1 of the total voltage deviation of the power system at time t, the objective function f2 of the total line loss, the objective function f3 of the total loss cost of the flexible interconnection switch, and the objective function f4 of the net load deviation:

[0061]

[0062] In formula (1) to formula (4), T represents the time period, N n Represents the serial number set of distribution network nodes, N b Indicates the sequence number set of distribution network branches; U i,t represents the voltage of the ith node at time t, represents the safe voltage range of the i-th node at time t; and They represent the lower and upper limits of the voltage on the ith node at time t, respectively, and r ij Represents the resistance value of the line between the i-th node and the j-th node, I ij,t represents the current value flowing through the line between the i-th node and the j-th node at time t, represents the loss cost coefficient of the flexible switch SOP, represents the internal power loss of the flexible switch SOP connected to the i-th node at time t; represents the active output of distributed photovoltaic PV at the i-th node at time t, represents the active power of the load on the i-th node at time t, It represents the average load of the distribution network in the T period.

[0063] Step 2: Establish a voltage optimization control model for a flexible interconnected distribution network considering the flexible interconnected switches and distributed photovoltaic access;

[0064] Step 2.1: According to formula (5), the voltage optimization control objective function F of the flexible interconnected distribution network taking into account photovoltaic and flexible interconnected switches in the power system and considering the weight coefficient is established. The weight coefficient is generally selected according to the hierarchical analysis method:

[0065] F=min(ω1f1+ω2f2+ω3f3+ω4f4)(5)

[0066] Where ω1, ω2, ω3, and ω4 represent the weight coefficients of the four optimization objectives respectively.

[0067] Step 2.2, establish the constraint conditions of the voltage optimization control model of the flexible interconnected distribution network;

[0068] Step 2.2.1: Use the linear branch power flow model to describe the power flow constraints in the radial distribution network, and use equations (6) to (8) to determine the power flow constraints of the distribution network:

[0069]

[0070] In formula (6) to formula (8), p ij,t and q ij,t They represent the active power and reactive power of the line between the i-th node and the j-th node at time t respectively; p jk,t and q jk,t They represent the active power and reactive power of the line between the ith node and the kth node at time t, respectively. ij and x ij Respectively represent the resistance and reactance of the line between the i-th node and the j-th node, I ij,t represents the current value flowing through the line between the i-th node and the j-th node at time t, p j,t and q j,t They represent the active power and reactive power injected into the jth node at time t, respectively, and U i,t and U j,t They represent the voltage values ​​of the i-th node and the j-th node at time t respectively.

[0071] Step 2.2.2: For each node in the distribution network, there is a power constraint. Use equation (9) to determine the node power constraint:

[0072]

[0073] In formula (9), and They represent the active power and reactive power generated by the distributed photovoltaic PV at the jth node at time t respectively; and They represent the active power and reactive power injected into the jth node by the flexible switch SOP at time t respectively; and They represent the active power and reactive power consumed by the load connected to the jth node at time t respectively.

[0074] Step 2.2.3: Determine the node voltage and branch current safety constraints using equations (10) and (11):

[0075]

[0076]

[0077] In formula (10) and formula (11), It represents the maximum current allowed to flow through the line between the i-th node and the j-th node at time t.

[0078] Step 2.2.4: When distributed photovoltaics are connected to the distribution network, they are subject to physical constraints. The distributed photovoltaic operation constraints are determined using equations (12) to (15):

[0079]

[0080] In formula (12) to formula (15), and They represent the actual active output value and active output reference value of the distributed photovoltaic PV at the i-th node at time t, express and The deviation between represents the reactive power output of distributed photovoltaic PV at the i-th node at time t, Represents the tangent value of the power factor angle of the distributed photovoltaic PV at the i-th node, represents the capacity of distributed photovoltaic PV at the i-th node, Γ PV Represents the uncertainty power budget of distributed photovoltaic PV.

[0081] Step 2.2.5: As a power electronic device, the flexible interconnection switch is also subject to physical constraints when connected to the distribution network in order to improve the voltage level. The operating constraints of the flexible interconnection switch are determined using equations (16) to (19):

[0082]

[0083] In formula (16) to formula (19), and They represent the active power injected into the i-th node and the j-th node by the flexible interconnection switch SOP at time t respectively; and They represent the active power loss of the flexible interconnection switch SOP at the i-th node and the j-th node at time t, and represents the loss coefficient of the flexible interconnect switch SOP at the i-th node and the j-th node, and They represent the reactive power injected into the i-th node and the j-th node by the flexible interconnection switch SOP at time t, and They represent the minimum and maximum values ​​of the active power injected into the i-th node by the flexible interconnection switch SOP at time t respectively; and They represent the minimum and maximum values ​​of the reactive power injected into the jth node by the flexible interconnection switch SOP at time t, and Represents the capacity of the flexible interconnection switch SOP at the i-th node and the j-th node.

[0084] Step 3, because the power regulation of SOP is continuously changing, its operation optimization problem is extended from a single time section to a continuous time series, and an effective time series operation optimization model must be used as the basis for solving the optimization problem. The optimization problem constructed in step 2 is more complicated to handle, and the second-order cone programming algorithm has the characteristics of fast solution speed and strong optimization ability, and is widely used in solving large-scale nonlinear optimization problems. Therefore, the present invention converts the flexible interconnected distribution network operation model considering flexible interconnected switches and distributed photovoltaic access into a second-order cone programming (SOCP) problem based on the second-order cone programming algorithm and solves it. The specific steps are as follows:

[0085] Step 3.1: Use equations (20) and (21) to obtain the linearized total voltage deviation objective function f1′ and the linearized total line loss objective function f2′:

[0086]

[0087] In formula (20)-formula (21), V i,trepresents the linearized voltage of the ith node at time t, l ij,t represents the linearized current value flowing through the line between the i-th node and the j-th node at time t; where,

[0088] Step 3.2: Use equation (22) and equation (24) to construct the total voltage deviation objective function f1″ after the second linearization and the net load deviation objective function f4′ after the first linearization:

[0089]

[0090] In formula (22) to formula (24), It represents the absolute value of the difference between the linearized voltage at the ith node at time t and the square value of the minimum voltage allowed at the ith node at time t, that is, It represents the absolute value of the difference between the linearized voltage at the ith node at time t and the square value of the maximum voltage allowed at the ith node at time t, that is, N i,t The linearized auxiliary variable representing the net load deviation at the ith node at time t is:

[0091] Step 3.3, using formula (25) to obtain the objective function F′ of the linearized flexible interconnected distribution network voltage optimization control model;

[0092] F′=min(ω1f1″+ω2f2′+ω3f3+ω4f4′) (25)

[0093] Step 3.4: Considering that the flexible interconnection switch constraint condition contains quadratic terms, the constraint condition (17) is relaxed and converted to a standard second-order cone using equations (26) and (27):

[0094]

[0095] In formula (27), ‖·‖2 represents the 2-norm of the vector.

[0096] Step 3.5: Linearize constraints (6)-(11) using equations (28)-(32):

[0097]

[0098] Step 3.6: Use equations (33) and (34) to convert the distributed photovoltaic operation constraints (14) and the flexible interconnection switch operation constraints (19) into rotating cone constraints:

[0099]

[0100] Step 4: On the basis of relaxing the constraints and completing the standard second-order cone conversion, the second-order cone programming algorithm is used to optimize and solve the objective function, and finally the voltage optimization control result that minimizes the objective function is obtained, including the total voltage deviation f1, total line loss f2, total loss cost f3 of the flexible interconnection switch and net load deviation f4 of the distribution network in the T period and the voltage U of the i-th node of the distribution network at time t. i,t .

[0101] In this embodiment, an electronic device includes a memory and a processor, wherein the memory is used to store a program that supports the processor to execute the above method, and the processor is configured to execute the program stored in the memory.

[0102] In this embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps of the above method are executed.

Claims

1. A voltage optimization control method for a flexible interconnected distribution network considering the access of flexible interconnected switches, characterized in that: The following steps are involved: Step 1: Use equations (1) to (4) to respectively establish the objective function f1 of the total voltage deviation of the distribution network at time t, the objective function f2 of the total line loss, the objective function f3 of the total loss cost of the flexible interconnection switch, and the objective function f4 of the net load deviation: In formula (1) to formula (4), T represents the total time period, N n Represents the serial number set of distribution network nodes, N b Indicates the sequence number set of distribution network branches; U i,t represents the voltage of the ith node at time t, represents the safe voltage range of the i-th node at time t; and They represent the lower and upper limits of the voltage on the ith node at time t, respectively, and r ij Represents the resistance value of the line between the i-th node and the j-th node, I ij,t represents the current value flowing through the line between the i-th node and the j-th node at time t, Represents the loss cost coefficient of the flexible interconnect switch SOP, represents the internal power loss of the flexible interconnection switch SOP connected to the i-th node at time t; represents the active output of distributed photovoltaic PV at the i-th node at time t, represents the active power of the load on the i-th node at time t, It represents the average load of the distribution network in the T period; Step 2: Establish a voltage optimization control model for a flexible interconnected distribution network considering the flexible interconnected switches and distributed photovoltaic access; Step 2.1: According to formula (5), the objective function F of the voltage optimization control model of the flexible interconnected distribution network is established: F=min(ω1f1+ω2f2+ω3f3+ω4f4) (5) In formula (5), ω1, ω2, ω3, and ω4 represent the weight coefficients of the four objective functions respectively; Step 2.2, establish the constraint conditions of the voltage optimization control model of the flexible interconnected distribution network; Step 3: Linearize the objective function, relax the constraints and perform standard second-order cone transformation: Step 4: Under the constraints after relaxation and standard second-order cone conversion, the linearized objective function is optimized and solved using the second-order cone programming algorithm to obtain the voltage optimization control result that minimizes the objective function, including: the total voltage deviation, total line loss, total loss cost and net load deviation of the distribution network in the T period, and the voltage U of the i-th node of the distribution network at time t. i,t .

2. A method for optimizing voltage control of a flexible interconnected distribution network considering the access of flexible interconnected switches according to claim 1, characterized in that: Step 2.2 includes the following steps: Step 2.2.1: Determine the power flow constraints of the distribution network using equations (6) to (8): In formula (6) to formula (8), p ij,t and q ij,t They represent the active power and reactive power of the line between the i-th node and the j-th node at time t respectively; p jk,t and q jk,t They represent the active power and reactive power of the line between the ith node and the kth node at time t, respectively. ij and x ij Respectively represent the resistance and reactance of the line between the i-th node and the j-th node, I ij,t represents the current value flowing through the line between the i-th node and the j-th node at time t, p j,t and q j,t They represent the active power and reactive power injected into the jth node at time t, respectively, and U i,t and U j,t Respectively represent the voltage values ​​of the i-th node and the j-th node at time t; Step 2.2.2: Determine the node power constraint using equation (9): In formula (9), and They represent the active power and reactive power generated by the distributed photovoltaic PV at the jth node at time t respectively; and They represent the active power and reactive power of the flexible switch SOP input to the j-th node at time t respectively; and They represent the active power and reactive power consumed by the load connected to the jth node at time t respectively; Step 2.2.3: Determine the node voltage and branch current safety constraints using equations (10) and (11): In formula (10) and formula (11), It represents the maximum current allowed to flow through the line between the i-th node and the j-th node at time t; Step 2.2.4: Determine the distributed photovoltaic operation constraints using equations (12) to (15): In formula (12) to formula (15), and They represent the actual active output value and active output reference value of the distributed photovoltaic PV at the i-th node at time t, express and The deviation between represents the reactive power output of distributed photovoltaic at the i-th node at time t, Represents the tangent value of the power factor angle of the distributed photovoltaic PV at the i-th node, represents the capacity of distributed photovoltaic PV at the i-th node, Γ PV represents the uncertainty power budget of distributed photovoltaic PV; Step 2.2.5: Determine the operating constraints of the flexible interconnection switch using equations (16) to (19): In formula (16) to formula (19), and They represent the active power injected into the i-th node and the j-th node by the flexible interconnection switch SOP at time t respectively; and They represent the active power loss of the flexible interconnection switch SOP at the i-th node and the j-th node at time t, and represents the loss coefficient of the flexible interconnection switch at the i-th node and the j-th node, and They represent the reactive power injected into the i-th node and the j-th node by the flexible interconnection switch SOP at time t, and They represent the minimum and maximum values ​​of the active power injected into the i-th node by the flexible interconnection switch SOP at time t respectively; and They represent the minimum and maximum values ​​of the reactive power injected into the jth node by the flexible interconnection switch SOP at time t, and Represents the capacity of the flexible interconnection switch SOP at the i-th node and the j-th node.

3. A method for optimizing voltage control of a flexible interconnected distribution network considering the access of flexible interconnected switches according to claim 2, characterized in that: Step 3 includes the following steps: Step 3.1: Use equations (20) and (21) to obtain the linearized total voltage deviation objective function f1′ and the linearized total line loss objective function f2′: In formula (20)-formula (21), V i,t represents the linearized voltage of the ith node at time t, l ij,t represents the linearized current value flowing through the line between the i-th node and the j-th node at time t; where, Step 3.2: Use equation (22) and equation (24) to construct the total voltage deviation objective function f1″ after quadratic linearization and the net load deviation objective function f4′ after linearization: In formula (22) to formula (24), It represents the absolute value of the difference between the linearized voltage at the ith node at time t and the square value of the minimum voltage allowed at the ith node at time t, that is, It represents the absolute value of the difference between the linearized voltage at the ith node at time t and the square value of the maximum voltage allowed at the ith node at time t, that is, N i,t The linearized auxiliary variable representing the net load deviation at the ith node at time t is: Step 3.3, using formula (25) to obtain the objective function F′ of the linearized flexible interconnected distribution network voltage optimization control model; F′=min(ω1f1″+ω2f2′+ω3f3+ω4f4′) (25) Step 3.4: Use equations (26) and (27) to relax equation (17) and perform standard second-order cone transformation: In formula (27), ||·||2 represents the 2-norm; Step 3.5: Linearize equations (6) to (11) using equations (28) to (32): Step 3.6: Use equations (33) and (34) to convert equations (14) and (19) into rotation cone constraints:

4. An electronic device, comprising a memory and a processor, characterized in that: The memory is used to store a program that supports the processor to execute the voltage optimization control model of the flexible interconnected distribution network with flexible interconnected switches and distributed photovoltaic access as described in any one of claims 1-3, and the processor is configured to execute the program stored in the memory.

5. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method for optimizing voltage control of a flexible interconnected distribution network taking into account the access of flexible interconnected switches as recited in any one of claims 1 to 3 are executed.

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