Voltage cooperative control method and device considering adjustable resources of transformer area, and storage medium

Abstract

The invention relates to the technical field of power distribution network control, in particular to a voltage cooperative control method and device considering transformer area adjustable resources and a storage medium, and the method comprises the steps: obtaining the topological information of a transformer area, and obtaining all nodes and adjustable resources of the transformer area; monitoring the voltage of each node in the transformer area in real time; obtaining output power or operation states of various adjustable resources in the transformer area; under the system power flow constraint and the system safe operation constraint, an optimization model is established with the minimum deviation between the node voltage and the rated voltage in the transformer area as the target, the optimization model is solved to obtain the optimal solution of the node voltage, and a corresponding control instruction is issued to adjust the output power or the operation state of various adjustable resources. By reasonably controlling the real-time states of photovoltaic equipment, capacitor equipment, energy storage equipment and the like, the overall voltage level of the power distribution network is continuously optimized, and the effects that the overall voltage does not exceed the limit and the voltage fluctuation is minimized can be achieved.

Description

Technical Field

[0001] This invention relates to the field of power distribution network control technology, and specifically to a voltage coordination control method, device, and storage medium that takes into account the adjustable resources of distribution transformer areas. Background Technology

[0002] The power distribution network in vast rural areas of my country is relatively weak, especially in mountainous and hilly regions where users are scattered, resulting in long power supply radii and large seasonal load fluctuations, leading to persistent voltage problems. With the gradual increase in the capacity of distributed photovoltaic power and electric vehicles, the power distribution network has transformed from a unidirectional passive network to an active network, making frequent voltage exceedances and the coexistence of high and low voltage issues more prominent, directly affecting users' normal electricity consumption. Current voltage management of the power distribution network mainly relies on grid upgrades and traditional voltage regulation technologies, which are ineffective and technically and economically unsound. Furthermore, the low-voltage power distribution network operates under complex conditions, with distributed energy resources operating in a decentralized manner, lacking voltage regulation methods that consider distributed resources, making comprehensive voltage optimization of distribution areas extremely difficult.

[0003] In summary, there is an urgent need for a voltage coordination control method, device, and storage medium that takes into account adjustable resources of the transformer area, such as wide-range on-load voltage regulation, reactive power compensation, and distributed resources, to solve the problems existing in the prior art. Summary of the Invention

[0004] The purpose of this invention is to provide a voltage coordination control method that considers the adjustable resources of distribution transformer areas, aiming to fully explore the flexible regulation capabilities of distributed resources and enhance their ability to participate in grid voltage optimization. The specific technical solution is as follows: A voltage coordination control method considering adjustable resources in transformer substations includes: Obtain the topology information of the transformer area to get all nodes and adjustable resources in the transformer area; Real-time monitoring of the voltage at each node within the distribution area; The system acquires the output power or operating status of various adjustable resources within the transformer area; wherein, the adjustable resources include wide-range on-load tap changers, reactive power compensation devices, and distributed resources, and the distributed resources include photovoltaic generator sets, energy storage systems, and electric vehicle charging stations; Under the constraints of system power flow and system safe operation, an optimization model is established with the goal of minimizing the deviation between the node voltage and the rated voltage within the transformer area. The optimal solution of the node voltage is obtained by solving the optimization model, and corresponding control commands are issued to adjust the output power or operating status of various adjustable resources.

[0005] Preferably, the mathematical expression of the established optimization model is:

[0006] in, The goal is to optimize the node voltage within the transformer area. This represents the total number of nodes within the distribution area. For the middle of Taiwan region Each node Voltage at a given moment.

[0007] Preferably, the mathematical expression for the system power flow constraint is:

[0008]

[0009]

[0010]

[0011] in, Indicates the starting node With the termination node The set of branches between them , , Both represent any node within the transformer area and , branch road exist Active power at any given time branch road The resistance value, for Flowing through the side road The current, branch road exist Active power at any given time For the upstream power grid to the node exist The active power provided at all times For photovoltaic generator nodes exist Active power at any given time For energy storage system nodes exist The active power provided at all times Electric vehicle charging station nodes exist Active power at any given time For nodes exist Active power of the load at any given time. branch road exist Reactive power at any given moment branch road The reactance value, For reactive power compensation device nodes exist The reactive power generated at all times branch road exist Reactive power at any given moment For the upstream power grid to the node exist The reactive power provided at all times For photovoltaic generator nodes exist Reactive power at any given moment For nodes exist Reactive power of the load at all times For nodes exist Voltage at time, For nodes exist Voltage at time, branch Refers to the starting node To the terminal node side road, side road Refers to the starting node To the terminal node A side road.

[0012] Preferably, the system safety operation constraints include node voltage constraints, branch current and power constraints, grid power constraints, energy storage system operation constraints, photovoltaic generator operation constraints, charging station operation constraints, wide-range on-load tap changer operation constraints, and reactive power compensation device operation constraints.

[0013] Preferably, the mathematical expression for the node voltage constraint is:

[0014] in, For nodes exist Minimum allowable voltage at any given time For nodes exist The maximum allowable voltage at any given time; The branch current and power constraints are as follows:

[0015]

[0016]

[0017] in, branch road exist The minimum allowable current at any given time. branch road exist The maximum allowable current at any given time. branch road exist The minimum allowable active power at any given time. branch road exist The maximum allowable active power at any given time. branch road exist Minimum allowable reactive power at any given time branch road exist The maximum allowable reactive power at any given time; The power grid constraint is:

[0018]

[0019] in, For the upstream power grid to the node exist The minimum active power that can be provided at any given time. For the upstream power grid to the node exist The maximum active power that can be provided at any given time. For the upstream power grid to the node exist The minimum reactive power that can be provided at any given time. For the upstream power grid to the node exist The maximum reactive power that can be provided at any given time.

[0020] Preferably, the mathematical expression for the operating constraints of the energy storage system is:

[0021]

[0022]

[0023] in, For energy storage systems exist State of charge at time t, The rated capacity of the energy storage system, For energy storage systems exist The active power at any given time, and the energy storage system's discharge to the outside world. When the external system charges the energy storage system When the energy storage system is not in use , To improve the charging efficiency of energy storage systems. For the discharge efficiency of the energy storage system, For energy storage systems exist The lower limit of active power at any given time. For energy storage systems exist The upper limit of active power at any given time. For energy storage systems exist The limit value of the charged state at time t, For energy storage systems exist The upper limit of the state of charge at any given time.

[0024] Preferably, the mathematical expression for the operating constraints of the photovoltaic generator set is:

[0025]

[0026] in, Photovoltaic generator set exist Reactive power output at all times Photovoltaic generator set exist The active power output at all times. For photovoltaic power factor, Photovoltaic generator set exist The minimum value of effort and energy output at all times. Photovoltaic generator set exist The maximum value of effort and output at all times; The mathematical expression for the operating constraints of the charging station is:

[0027]

[0028]

[0029]

[0030]

[0031] in, For charging stations exist The number of electric vehicles that are constantly parked For charging stations exist The number of electric vehicles that are constantly parked For charging stations exist The number of electric vehicles arriving at the designated time. For charging stations exist The number of electric vehicles leaving at any given time For charging stations The number of electric vehicles at the initial moment. For charging stations exist The total charging power of electric vehicles at any given moment. For the rated charging capacity of electric vehicles, For charging stations exist The maximum number of electric vehicles that can be carried at any given time.

[0032] Preferably, the mathematical expression for the working constraints of the wide-range on-load tap changer is:

[0033]

[0034] in, for The voltage of the upstream power grid at all times, For nodes exist Voltage at time, for The position of the tap changer at all times. This is the position of the maximum tap. The mathematical expression for the working constraints of the reactive power compensation device is:

[0035] in, For reactive power compensation device nodes exist The reactive power generated at all times for Reactive power compensation device node The proportion of grid-connected capacitor capacity to maximum reactive power. for Reactive power compensation device node The proportion of grid-connected capacitor capacity to maximum reactive power. The maximum reactive power provided by the reactive power compensation device. This represents the maximum number of times the reactive power compensation device can be dynamically adjusted.

[0036] The present invention also provides a voltage coordinated control device that takes into account the adjustable resources of the transformer area, including a processor and a memory, wherein the memory stores a computer program, and the processor executes the steps of the voltage coordinated control method that takes into account the adjustable resources of the transformer area when running the computer program.

[0037] The present invention also provides a storage medium storing a computer program, which, when executed, performs the steps of the voltage coordinated control method considering adjustable resources of the transformer area.

[0038] The application of the technical solution of the present invention has the following beneficial effects: This invention addresses issues such as voltage exceeding limits in low-voltage distribution networks. It fully considers the joint optimization and scheduling capabilities of various adjustable resources, including wide-range on-load tap-changing transformers, reactive power compensation devices, and distributed resources in the distribution area. A multi-resource collaborative control model with optimal voltage as the objective is established. Through intelligent terminals in the distribution area, the voltage status of each node in the low-voltage distribution network is monitored in real time, the potential development trend of node voltage is judged, and various resource constraints are considered. Control commands are issued to adjust the output power or operating status of various adjustable resources. In other words, by reasonably controlling the real-time status of photovoltaic, capacitor, and energy storage devices, the overall voltage level of the distribution network is continuously optimized, achieving the effect of preventing global voltage exceeding limits and minimizing voltage fluctuations.

[0039] In addition to the objectives, features, and advantages described above, the present invention has other objectives, features, and advantages. The invention will now be described in further detail with reference to the figures. Attached Figure Description

[0040] The accompanying drawings, which form part of this application, are used to provide a further understanding of the invention. The illustrative embodiments of the invention and their descriptions are used to explain the invention and do not constitute an undue limitation of the invention. In the drawings: Figure 1 This is a flowchart of the control method of the present invention. Detailed Implementation

[0041] To facilitate understanding of the present invention, a more complete description is provided below, along with preferred embodiments. However, the present invention can be implemented in many different forms and is not limited to the embodiments described herein. Rather, these embodiments are provided to provide a thorough and complete understanding of the disclosure of the present invention.

[0042] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains. The terminology used herein in the description of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention.

[0043] Example 1: like Figure 1 As shown, this embodiment provides a voltage collaborative control method that considers the adjustable resources of the transformer area, specifically including: Obtain the topology information of the transformer area to get all nodes and adjustable resources in the transformer area; The voltage of each node in the transformer substation is monitored in real time through the intelligent terminal in the substation area. The system acquires the output power or operating status of various adjustable resources within the distribution area and transmits it to the smart terminal in the distribution area via carrier wave, RS485, or other means. Under system power flow constraints and system safety operation constraints, an optimization model is established with the objective of minimizing the deviation between the node voltage and the rated voltage within the transformer substation area. Solving this model yields the optimal solution for the node voltage, and corresponding control commands are issued to adjust the output power or operating status of various adjustable resources. In other words, the transformer substation intelligent terminal, with the goal of minimizing the voltage deviation within the substation area, and under the constraints of various adjustable resources, solves the line power flow problem and issues control commands according to the optimal solution to adjust the distributed resources of each node within the substation area, thereby minimizing the voltage deviation of the entire substation system and achieving the goal of optimal substation voltage.

[0044] Specifically, the adjustable resources in this embodiment include wide-range on-load tap changers, reactive power compensation devices, and distributed resources, wherein distributed resources include photovoltaic generator sets, energy storage systems, and electric vehicle charging stations.

[0045] In this embodiment, under system power flow constraints and system safe operation constraints, an optimization model is established with the objective of minimizing the deviation between the node voltage and the rated voltage within the transformer area. Specifically: In this embodiment, the transformer substation refers to a 400V distribution network connected to a 10kV feeder. To achieve optimal node voltage within the substation, the optimization model established in this embodiment is as follows: (1) in, The goal is to optimize the node voltage within the transformer area. This represents the total number of nodes within the distribution area. For the middle of Taiwan region Each node Voltage at a given moment.

[0046] Furthermore, to ensure stable system operation, it is necessary to consider system power flow constraints and system safety operation constraints, among which the system power flow constraints are:

[0047]

[0048]

[0049]

[0050] in, Indicates the starting node With the termination node The set of branches between them , , Both represent any node within the transformer area and , branch road exist Active power at any given time branch road The resistance value, for Flowing through the side road The current, branch road exist Active power at any given time For the upstream 10kV power grid to the node exist The active power provided at all times For photovoltaic generator nodes exist Active power at any given time For energy storage system nodes exist The active power provided at all times Electric vehicle charging station nodes exist Active power at any given time For nodes exist Active power of the load at any given time. branch road exist Reactive power at any given moment branch road The reactance value, For reactive power compensation device nodes exist The reactive power generated at all times branch road exist Reactive power at any given moment For the upstream 10kV power grid to the node exist The reactive power provided at all times For photovoltaic generator nodes exist Reactive power at any given moment For nodes exist Reactive power of the load at all times For nodes exist Voltage at time, For nodes exist Voltage at time, branch Refers to the starting node To the terminal node side road, side road Refers to the starting node To the terminal node A side road.

[0051] Those skilled in the art will understand that, If it is not a node of a photovoltaic generator set, then in formula (2) during calculation... And in formula (3) All are 0; if If it is not a node in the energy storage system, then in formula (2) during calculation... If it is 0; If it is not an electric vehicle charging station node, then in formula (2) during calculation... If it is 0; If it is not a node of the reactive power compensation device, then in the calculation formula (3) It is 0.

[0052] Furthermore, system safety operation constraints include node voltage constraints, branch current and power constraints, grid power constraints, energy storage system operating constraints, photovoltaic generator operating constraints, charging station operating constraints, wide-range on-load tap changer operating constraints, and reactive power compensation device operating constraints. The following is a detailed explanation of each constraint condition: Node voltage constraints: (6) in, For nodes exist Minimum allowable voltage at any given time For nodes exist The maximum allowable voltage at any given time.

[0053] Branch current and power constraints: (7) (8) (9) in, branch road exist The minimum allowable current at any given time. branch road exist The maximum allowable current at any given time. branch road exist The minimum allowable active power at any given time. branch road exist The maximum allowable active power at any given time. branch road exist Minimum allowable reactive power at any given time branch road exist The maximum allowable reactive power at any given time.

[0054] Power grid constraints: (10) (11) in, For the upstream 10kV power grid to the node exist The minimum active power that can be provided at any given time. For the upstream 10kV power grid to the node exist The maximum active power that can be provided at any given time. For the upstream 10kV power grid to the node exist The minimum reactive power that can be provided at any given time. For the upstream 10kV power grid to the node exist The maximum reactive power that can be provided at any given time.

[0055] Furthermore, the operating status of various adjustable resources includes their active power, reactive power, etc. To ensure the safe operation of the system, the following operating constraints are established for various adjustable resources: Specifically, adjusting the output power of the energy storage system can improve node voltage, but overcharging / discharging will reduce the lifespan of the energy storage battery. To improve the lifespan of the energy storage battery, it is necessary to constrain the charging / discharging power. In addition, the energy storage battery itself also has charging / discharging boundaries. Therefore, the mathematical model for the working constraints of the energy storage system in this embodiment is as follows: (12) (13) (14) in, For energy storage systems exist State of charge at time t, The rated capacity of the energy storage system, For energy storage systems exist The charging / discharging power (i.e., active power) at a given moment, when the energy storage system discharges to the outside world. When the external system charges the energy storage system When the energy storage system is not in use , To improve the charging efficiency of energy storage systems. For the discharge efficiency of the energy storage system, For energy storage systems exist The lower limit of the charging / discharging power (i.e., active power) at any given time. For energy storage systems exist The upper limit of charging / discharging power (i.e., active power) at any given time. For energy storage systems exist The limit value of the charged state at time t, For energy storage systems exist The upper limit of the state of charge at any given time.

[0056] Furthermore, the output of distributed photovoltaic (PV) systems (i.e., PV generator sets) is affected by their capacity, inverters, etc., and their active and reactive power output ranges are as follows: (15) (16) in, Photovoltaic generator set exist Reactive power output at all times Photovoltaic generator set exist The active power output at all times. For photovoltaic power factor, For photovoltaic generator sets in The minimum value of effort and energy output at all times. Photovoltaic generator sets in The maximum value of effort and output at any given time.

[0057] Furthermore, electric vehicles, as flexible and adjustable loads, can be connected to the power system at any time via charging stations. Therefore, the charging situation of electric vehicles within charging stations can be modeled based on electric vehicle information. By constraining the number of electric vehicles staying, arriving, and departing at each moment within the charging station, a constrained model of the electric vehicle charging situation within the charging station is obtained: (17) (18) (19) (20) (twenty one) in, For charging stations exist The number of electric vehicles that are constantly stationed (i.e., the number of electric vehicles charging at the charging station). For charging stations exist The number of electric vehicles that are constantly parked For charging stations exist The number of electric vehicles arriving at the designated time. For charging stations exist The number of electric vehicles leaving at any given time For charging stations The number of electric vehicles at the initial moment. For the rated charging capacity of electric vehicles, For charging stations exist The maximum number of electric vehicles that can be carried at any given time. For charging stations exist Total charging power of electric vehicles at any given time.

[0058] Furthermore, the adjustment range of a wide-range on-load tap changer is constrained by the joint position, specifically: (twenty two) (twenty three) in, for The voltage of the upstream 10kV power grid at any given time. For nodes exist Voltage at time, for The position of the tap changer at all times. This is the position of the maximum tap.

[0059] Furthermore, the reactive power compensation devices in the current distribution area (i.e., the 400V low-voltage distribution network) are generally capacitors and are switched in groups. Their reactive power output range is constrained as follows: (twenty four) in, For reactive power compensation device nodes exist The reactive power generated at all times for Reactive power compensation device node The proportion of grid-connected capacitor capacity to maximum reactive power. for Reactive power compensation device node The proportion of grid-connected capacitor capacity to maximum reactive power. The maximum reactive power provided by the reactive power compensation device. This represents the maximum number of times the reactive power compensation device can be dynamically adjusted.

[0060] In this embodiment, the established optimization model, system power flow constraints, and system safety operation constraints are input into the solver to obtain the optimal solutions for each decision variable in the optimization model, system power flow constraints, and system safety operation constraints. Control commands are then generated based on the current output power or operating state of various adjustable resources and the optimal solutions for each decision variable, and issued to the corresponding adjustable resources to adjust their output power or operating state. How to use the solver to obtain the optimal solution based on the objective function and constraints is well-known in the art and will not be elaborated upon in this embodiment.

[0061] The control method in this embodiment addresses issues such as voltage exceeding limits in low-voltage distribution networks. It fully considers the joint optimization and scheduling capabilities of various adjustable resources, including wide-range on-load tap-changing transformers, reactive power compensation devices, and distributed resources. A multi-resource collaborative control model with optimal voltage as the objective is established. Through intelligent terminals in the distribution area, the voltage status of each node in the low-voltage distribution network is monitored in real time to determine the possible future development trend of the node voltage. Considering various resource constraints, control commands are issued to adjust the output power or operating status of various adjustable resources. In other words, by reasonably controlling the real-time status of photovoltaic, capacitor, and energy storage devices, the overall voltage level of the distribution network is continuously optimized, achieving the effect of preventing global voltage exceeding limits and minimizing voltage fluctuations.

[0062] Example 2: This embodiment provides a voltage coordination control device that takes into account the adjustable resources of the transformer area. The device includes a processor and a memory. The memory stores a computer program. When the processor runs the computer program, it executes the steps of the control method in Embodiment 1.

[0063] Example 3: This embodiment provides a storage medium storing a computer program, which, when run, executes the steps of the control method in Embodiment 1.

[0064] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-readable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code. This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create a machine for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to operate in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The functions specified in one or more boxes. These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable apparatus for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0065] The above description is merely a preferred embodiment of the present invention. The scope of protection of the present invention is not limited to the above embodiments. All technical solutions falling within the scope of the present invention's concept are within the scope of protection of the present invention. It should be noted that for those skilled in the art, any improvements and modifications made without departing from the principle of the present invention should also be considered within the scope of protection of the present invention.

Claims

1. A voltage coordinated control method considering adjustable resources in transformer substations, characterized in that, include: Obtain the topology information of the transformer area to get all nodes and adjustable resources of the transformer area. The adjustable resources include wide-range on-load tap changers, reactive power compensation devices and distributed resources. Real-time monitoring of the voltage of each node within the distribution area, and acquisition of the output power or operating status of various adjustable resources within the distribution area; Under the constraints of system power flow and system safe operation, an optimization model is established with the goal of minimizing the deviation between the node voltage and the rated voltage within the transformer area. The optimal solution of the node voltage is obtained by solving the optimization model, and corresponding control commands are issued to adjust the output power or operating status of various adjustable resources.

2. The voltage coordinated control method considering adjustable resources of distribution areas according to claim 1, characterized in that, The mathematical expression for the optimization model is: in, The optimization target is the node voltage within the transformer area. This represents the total number of nodes within the distribution area. For the middle of Taiwan region Each node Voltage at a given moment.

3. The voltage coordinated control method considering adjustable resources in transformer substations according to claim 1, characterized in that, The mathematical expression for the system power flow constraints is: in, Indicates the starting node With the termination node The set of branches between them , , Both represent any node within the transformer area and , branch road exist Active power at any given time branch road The resistance value, for Flowing through the side road The current, branch road exist Active power at any given time For the upstream power grid to the node exist The active power provided at all times For photovoltaic generator nodes exist Active power at any given time For energy storage system nodes exist The active power provided at all times Electric vehicle charging station nodes exist Active power at any given time For nodes exist Active power of the load at any given time. branch road exist Reactive power at any given moment branch road The reactance value, For reactive power compensation device nodes exist The reactive power emitted at all times branch road exist Reactive power at any given moment For the upstream power grid to the node exist The reactive power provided at all times For photovoltaic generator nodes exist Reactive power at any given moment For nodes exist Reactive power of the load at all times For nodes exist Voltage at time, For nodes exist Voltage at time, branch Refers to the starting node To the terminal node side road, side road Refers to the starting node To the terminal node A side road.

4. The voltage coordinated control method considering adjustable resources of distribution areas according to claim 1, characterized in that, The system safety operation constraints include node voltage constraints, and the mathematical expression for the node voltage constraints is: in, For the middle of Taiwan region Each node Voltage at time, For nodes exist Minimum allowable voltage at any given time For nodes exist The maximum allowable voltage at any given time.

5. The voltage coordinated control method considering adjustable resources of distribution areas according to claim 1, characterized in that, The system safety operation constraints include branch current and power constraints, and the mathematical expressions for the branch current and power constraints are as follows: in, for Flowing through the side road The current, branch road exist Active power at any given time branch road exist Reactive power at any moment, branch Refers to the starting node To the terminal node The side road, , Both represent any node within the transformer area and , branch road exist The minimum allowable current at any given time. branch road exist The maximum allowable current at any given time. branch road exist The minimum allowable active power at any given time. branch road exist The maximum allowable active power at any given time. branch road exist Minimum allowable reactive power at any given time branch road exist The maximum allowable reactive power at any given time.

6. The voltage coordinated control method considering adjustable resources of distribution transformer areas according to claim 1, characterized in that, The system safety operation constraints include grid power constraints, the mathematical expression of which is: in, For the upstream power grid to the node exist The minimum active power that can be provided at any given time. For the upstream power grid to the node exist The maximum active power that can be provided at any given time. For the upstream power grid to the node exist The minimum reactive power that can be provided at any given time. For the upstream power grid to the node exist The maximum reactive power that can be provided at any given time.

7. The voltage coordinated control method considering adjustable resources of distribution areas according to claim 1, characterized in that, The distributed resources include energy storage systems, photovoltaic generator sets, and electric vehicle charging stations. The system safety operation constraints include operating constraints for the energy storage system, photovoltaic generator sets, and charging stations. The mathematical expression for the operating constraints of the energy storage system is: in, For energy storage systems exist State of charge at time t, The rated capacity of the energy storage system, For energy storage systems exist The active power at any given time, and the energy storage system's discharge to the outside world. When the external system charges the energy storage system When the energy storage system is not in use , To improve the charging efficiency of energy storage systems. For the discharge efficiency of the energy storage system For energy storage systems exist The lower limit of active power at any given time. For energy storage systems exist The upper limit of active power at any given time. For energy storage systems exist The limit value of the charged state at time t, For energy storage systems exist The upper limit of the state of charge at any given time; The mathematical expression for the operating constraints of the photovoltaic generator set is: in, Photovoltaic generator set exist Reactive power output at all times Photovoltaic generator set exist The active power output at all times. For photovoltaic power factor, Photovoltaic generator set exist The minimum value of effort and energy output at all times. Photovoltaic generator set exist The maximum value of effort and output at all times; The mathematical expression for the operating constraints of the charging station is: in, For charging stations exist The number of electric vehicles that are constantly parked For charging stations exist The number of electric vehicles that are constantly parked For charging stations exist The number of electric vehicles arriving at the designated time. For charging stations exist The number of electric vehicles leaving at any given time For charging stations The number of electric vehicles at the initial moment. For charging stations exist The total charging power of electric vehicles at any given moment. For the rated charging capacity of electric vehicles, For charging stations exist The maximum number of electric vehicles that can be carried at any given time.

8. The voltage coordinated control method considering adjustable resources of distribution areas according to claim 1, characterized in that, The system safety operation constraints include the operating constraints of the wide-range on-load tap changer and the reactive power compensation device. The mathematical expression for the operating constraints of the wide-range on-load tap changer is: in, for The voltage of the upstream power grid at all times, For nodes exist Voltage at time, for The position of the tap changer at all times. This is the position of the maximum tap. The mathematical expression for the working constraints of the reactive power compensation device is: in, For reactive power compensation device nodes exist The reactive power emitted at all times for Reactive power compensation device node The proportion of grid-connected capacitor capacity to maximum reactive power. for Reactive power compensation device node The proportion of grid-connected capacitor capacity to maximum reactive power. The maximum reactive power provided by the reactive power compensation device. This represents the maximum number of times the reactive power compensation device can be dynamically adjusted.

9. A voltage coordination control device considering adjustable resources in a transformer substation, characterized in that, It includes a processor and a memory, wherein the memory stores a computer program, and the processor executes the steps of the voltage coordinated control method considering adjustable resources of the distribution area as described in any one of claims 1-8 when running the computer program.

10. A storage medium, characterized in that, The storage medium stores a computer program, which, when executed, performs the steps of the voltage coordinated control method considering adjustable resources of the transformer area as described in any one of claims 1-8.

Images