Distributed resource cooperative control strategy generation method and system

Abstract

The invention discloses a distributed resource cooperative control strategy generation method and system, and the method comprises the steps: obtaining the state information of distributed energy resources of a fusion terminal in a transformer area, and carrying out the state analysis of a power grid system of the transformer area according to the state information; if the overvoltage condition occurs in the power grid system, obtaining the terminal voltage state of the transformer area user; performing out-of-limit analysis on the voltage state to obtain an out-of-limit analysis result; and generating a distributed resource cooperative control strategy according to the out-of-limit analysis result so as to cooperatively control the distributed energy resources. Real-time state monitoring and performance evaluation of distributed resources are achieved through the intelligent fusion terminal, a distributed resource cooperative control strategy is generated, the control strategy can be dynamically adjusted according to real-time power grid data and environment conditions, efficient cooperative work of the distributed resources is ensured, and therefore the response speed and the adjusting capacity of a power grid system are improved, and the system reliability is improved. And challenges brought by distributed resource access can be adapted.

Description

Technical Field

[0001] The present invention relates to the technical field of power systems, and in particular to a distributed resource collaborative control strategy generation method and system. Background Art

[0002] In the current development process of the energy field, with the large-scale access of various distributed resources such as photovoltaics and charging piles, the power grid system faces many new challenges. Specifically, the load of the power grid presents the characteristics of intermittency, volatility and randomness, and the traditional regulation means are often slow to respond, and it is difficult to adapt in time when dealing with the situation of rapid load changes, which can easily lead to a series of problems such as power supply shortage during peak hours, equipment overload and idle resources during valley hours. At the same time, the existing distribution network substations do not have the ability to regulate themselves, and they still need to rely on receiving instructions from the master station to directly control the regulating equipment in order to achieve the effect of resource allocation. As a key device in the distribution network substation, the substation intelligent fusion terminal is related to the perception of end devices and the deployment of control strategies, and shoulders a vital mission. It undertakes the task of collecting and accessing various end devices such as distributed photovoltaics, energy storage, charging piles and substation intelligent perception sensors. It is also the key support for the implementation of a series of strategy deployments such as distribution network collection and control, and plays a key role in the transmission hub and regulation response of the master station. Therefore, it is extremely important to improve the response speed and regulation capability of the power grid system through integrated terminals and adapt to the challenges brought by distributed resource access. Summary of the invention

[0003] The present invention provides a distributed resource collaborative control strategy generation method and system, which utilizes intelligent fusion terminals to realize real-time status monitoring and performance evaluation of distributed resources, and generates distributed resource collaborative control strategies. The control strategies can be dynamically adjusted according to real-time power grid data and environmental conditions to ensure efficient collaborative work of distributed resources, thereby improving the response speed and regulation capability of the power grid system to adapt to the challenges brought by distributed resource access.

[0004] In order to achieve the above object, an embodiment of the present invention provides a distributed resource collaborative control strategy generation method, including:

[0005] Acquire status information of distributed energy resources of the integrated terminal in the substation area, and perform status analysis on the power grid system of the substation area according to the status information;

[0006] If the power grid system has an overvoltage condition, the voltage status of the user terminal in the substation area is obtained;

[0007] Performing an over-limit analysis on the voltage state to obtain an over-limit analysis result;

[0008] According to the over-limit analysis result, a distributed resource collaborative control strategy is generated to collaboratively control the distributed energy resources.

[0009] As an improvement of the above solution, performing an over-limit analysis on the voltage state to obtain an over-limit analysis result includes:

[0010] Performing an over-limit analysis on the voltage state, and if the voltage state exceeds a lower limit, analyzing the reason why the voltage state exceeds a lower limit, and obtaining an over-limit analysis result;

[0011] If the voltage state exceeds the upper limit, the reason why the voltage state exceeds the upper limit is analyzed to obtain an analysis result of exceeding the upper limit.

[0012] As an improvement of the above solution, the reasons why the voltage state exceeds the lower limit include unbalanced three-phase load, insufficient reactive power, overload in the substation, and unreasonable transformer gear setting.

[0013] As an improvement of the above solution, generating a distributed resource collaborative control strategy according to the over-limit analysis result to collaboratively control the distributed energy resources includes:

[0014] If the over-limit analysis result is that the three-phase load is unbalanced, the phase-changing switch is adjusted first, and the SVG is adjusted secondly;

[0015] If the over-limit analysis result is insufficient reactive power, the photovoltaic power is regulated first, and the SVG is regulated secondly;

[0016] If the over-limit analysis result is that the area is overloaded, the phase-changing switch is adjusted first, and the charging pile is adjusted secondly;

[0017] If the over-limit analysis result is that the transformer gear setting is unreasonable, the transformer gear is adjusted first;

[0018] If the over-limit analysis result is that the distributed photovoltaic power cannot be consumed locally, priority is given to local energy storage control, and second priority is given to regulating the photovoltaic power.

[0019] As an improvement of the above solution, the distributed energy resources include photovoltaic power generation equipment, controllable loads, charging piles and energy storage equipment.

[0020] In order to achieve the above object, an embodiment of the present invention provides a distributed resource collaborative control strategy generation system, including:

[0021] A status information acquisition module, used to acquire status information of distributed energy resources integrated with terminals in the substation area, and perform status analysis on the power grid system of the substation area according to the status information;

[0022] A voltage status acquisition module is used to acquire the voltage status of the user terminal in the substation area if an overvoltage occurs in the power grid system;

[0023] A voltage over-limit analysis module is used to perform an over-limit analysis on the voltage state to obtain an over-limit analysis result;

[0024] The control strategy generation module is used to generate a distributed resource collaborative control strategy according to the over-limit analysis result to collaboratively control the distributed energy resources.

[0025] As an improvement of the above solution, the voltage over-limit analysis module is used to:

[0026] Performing an over-limit analysis on the voltage state, and if the voltage state exceeds a lower limit, analyzing the reason why the voltage state exceeds a lower limit, and obtaining an over-limit analysis result;

[0027] If the voltage state exceeds the upper limit, the reason why the voltage state exceeds the upper limit is analyzed to obtain an analysis result of exceeding the upper limit.

[0028] As an improvement of the above solution, the reasons why the voltage state exceeds the lower limit include unbalanced three-phase load, insufficient reactive power, overload in the substation, and unreasonable transformer gear setting.

[0029] As an improvement of the above solution, the control strategy generation module is used to:

[0030] If the over-limit analysis result is that the three-phase load is unbalanced, the phase-changing switch is adjusted first, and the SVG is adjusted secondly;

[0031] If the over-limit analysis result is insufficient reactive power, the photovoltaic power is regulated first, and the SVG is regulated secondly;

[0032] If the over-limit analysis result is that the area is overloaded, the phase-changing switch is adjusted first, and the charging pile is adjusted secondly;

[0033] If the over-limit analysis result is that the transformer gear setting is unreasonable, the transformer gear is adjusted first;

[0034] If the over-limit analysis result is that the distributed photovoltaic power cannot be consumed locally, priority is given to local energy storage control, and second priority is given to regulating the photovoltaic power.

[0035] As an improvement of the above solution, the distributed energy resources include photovoltaic power generation equipment, controllable loads, charging piles and energy storage equipment.

[0036] Compared with the prior art, the embodiment of the present invention discloses a distributed resource collaborative control strategy generation method and system, which obtains the status information of the distributed energy resources of the fusion terminal in the substation, and performs status analysis on the power grid system of the substation according to the status information; if the power grid system has an overvoltage condition, the voltage status of the user terminal of the substation is obtained; the voltage status is analyzed to obtain the over-limit analysis result; and the distributed resource collaborative control strategy is generated according to the over-limit analysis result to collaboratively control the distributed energy resources. The intelligent fusion terminal is used to realize real-time status monitoring and performance evaluation of distributed resources, and a distributed resource collaborative control strategy is generated. The control strategy can be dynamically adjusted according to real-time power grid data and environmental conditions to ensure the efficient collaborative work of distributed resources, thereby improving the response speed and regulation capability of the power grid system to adapt to the challenges brought by the access of distributed resources. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 It is a flow chart of a method for generating a distributed resource collaborative control strategy provided by an embodiment of the present invention;

[0038] Figure 2 is a flow chart of a distributed resource collaborative control strategy provided by an embodiment of the present invention;

[0039] Figure 3 It is a schematic diagram of the overall architecture of distributed resource collaborative control of a converged terminal provided by an embodiment of the present invention;

[0040] Figure 4 It is a structural diagram of a distributed resource collaborative control strategy generation system provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0041] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0042] It should be noted that the terms "comprises" and "specifically" and any variations of the present invention are intended to cover non-exclusive inclusions. For example, a process, method, system, product or apparatus comprising a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units that are not explicitly listed or inherent to these processes, methods, products or apparatuses.

[0043] See also Figure 1 , Figure 11 is a flow chart of a distributed resource collaborative control strategy generation method provided by an embodiment of the present invention, the distributed resource collaborative control strategy generation method comprising:

[0044] S1, obtaining status information of distributed energy resources integrated with terminals in a substation, and performing status analysis on a power grid system in the substation according to the status information;

[0045] S2, if the power grid system has an overvoltage condition, obtaining the voltage status of the user terminal in the substation area;

[0046] S3, performing an over-limit analysis on the voltage state to obtain an over-limit analysis result;

[0047] S4, generating a distributed resource collaborative control strategy based on the over-limit analysis result to collaboratively control the distributed energy resources.

[0048] For example, the fusion terminal analyzes the user node (low-voltage monitoring unit) / photovoltaic grid connection point / transformer gateway data, and analyzes the reasons for the voltage exceeding the limit at the user node. The reasons for the voltage exceeding the lower limit include unbalanced three-phase load, insufficient reactive power, heavy line overload, unreasonable transformer gear setting, etc. The reason for the voltage exceeding the upper limit is mainly that the distributed photovoltaic cannot be absorbed. The fusion terminal coordinates with the corresponding terminal equipment to manage the voltage exceeding the limit problem in the substation according to different reasons. The embodiments of the present invention utilize intelligent fusion terminals to realize real-time status monitoring and performance evaluation of distributed resources (such as photovoltaics, energy storage, charging piles, etc.), and provide real-time data support for collaborative control by monitoring the working status, output power, efficiency and other parameters of each resource and evaluating its impact on the power grid; the control strategy can be dynamically adjusted according to real-time power grid data and environmental conditions to ensure efficient collaborative work of distributed resources; the control strategy can be continuously optimized according to the control objectives given by the cloud platform and the real-time data of the equipment to adapt to the ever-changing power grid status; for various types of distributed equipment that are not suitable for the intelligent fusion terminal interface, the communication connection between the fusion terminal and different types of terminal devices can be realized by adding a low-voltage load monitoring device, so that the intelligent fusion terminal can seamlessly access various distributed resources and realize rapid data exchange and accurate execution of commands.

[0049] Specifically, the step S3 includes:

[0050] S31, performing an over-limit analysis on the voltage state, and if the voltage state exceeds a lower limit, analyzing the reason why the voltage state exceeds a lower limit, and obtaining an over-limit analysis result;

[0051] S32, if the voltage state exceeds the upper limit, analyzing the reason why the voltage state exceeds the upper limit, and obtaining an analysis result of exceeding the upper limit.

[0052] For example, commercial blocks have many shops, shopping malls and supporting parking lot charging pile facilities. Distributed photovoltaics are also often used in the roofs of some commercial buildings. During business hours, especially during shopping peaks such as holidays, the power load varies greatly and has a strong randomness. For example, on a large-scale promotion day, the lighting, air conditioning, elevators and other equipment in the mall are running at full capacity, the utilization rate of charging piles in the parking lot has also increased significantly, the load on the power grid in the substation area has increased rapidly, and voltage fluctuations have occurred. The intelligent fusion terminal uses the collaborative control method of the present invention to monitor various types of data in real time. When low voltage is found in the node and analysis shows that the line is heavily overloaded (because many electrical equipment and charging piles are working at the same time, resulting in excessive current carrying capacity of the line), it will give priority to controlling the phase-changing switch to solve the single-phase overload problem and try to balance the line load; if there is no phase-changing switch in the substation or the regulation is not obvious, the charging pile power will be regulated to decrease. By reasonably limiting the charging power of some charging piles, the line burden is reduced, thereby increasing the voltage, ensuring the normal operation of all electrical equipment in the commercial district, maintaining normal business operations, and achieving coordinated stability of distributed resources and commercial electricity consumption, avoiding the impact of power grid failures on consumers' shopping experience and normal business operations of merchants.

[0053] Specifically, the reasons why the voltage state exceeds the lower limit include unbalanced three-phase load, insufficient reactive power, overload in the substation, and unreasonable transformer gear setting.

[0054] For example, there are often many factory buildings in industrial parks, and some of them have large-scale distributed photovoltaic power stations installed on their roofs. At the same time, the park is also equipped with a cluster of charging piles for vehicles in the park. These distributed resources are connected to the distribution network area of ​​the park. During the daytime on weekdays, when there is sufficient sunlight, the photovoltaic power station generates electricity at full power, and some enterprises in the park are in the low power consumption period due to production arrangements, so the grid load is low. However, during the peak production period in the afternoon, a large number of corporate electrical equipment are turned on, and the power load rises sharply. At the same time, many vehicles start charging, resulting in intermittent and drastic changes in the grid load in the area. When this happens, through the collaborative control method of the present invention, the intelligent fusion terminal continuously monitors relevant data. If an overvoltage is detected (for example, because the electricity generated by distributed photovoltaics cannot be fully absorbed in the current substation for the time being), it will first analyze the reason why the distributed photovoltaics cannot be absorbed, and then prioritize controlling the energy storage equipment to make it enter the charging state on-site to store excess electricity; if there is no energy storage equipment in the substation or the overvoltage problem still exists after regulation, the intelligent fusion terminal will regulate the photovoltaic inverter, first prioritize adjusting the power factor, and then appropriately adjust the active output to reduce the electricity transmitted by photovoltaics to the power grid, so as to stabilize the substation voltage, avoid overvoltage from causing damage to electrical equipment in the park, and rationally utilize distributed resources to improve the stability of the power grid operation and energy utilization efficiency of the entire industrial park substation, and ensure that the production activities of the enterprise are not affected by grid fluctuations and are carried out in an orderly manner.

[0055] Specifically, the step S4 includes:

[0056] S41, if the over-limit analysis result is that the three-phase load is unbalanced, the phase-changing switch is adjusted first, and the SVG is adjusted secondly;

[0057] S42, if the over-limit analysis result is insufficient reactive power, the photovoltaic power is regulated first, and the SVG is regulated secondly;

[0058] S43, if the over-limit analysis result is that the substation is overloaded, the phase-changing switch is adjusted first, and the charging pile is adjusted secondly;

[0059] S44, if the over-limit analysis result is that the transformer gear setting is unreasonable, the transformer gear is adjusted first;

[0060] S45, if the over-limit analysis result is that the distributed photovoltaic power cannot be locally absorbed, then the energy storage is controlled on-site first, and the photovoltaic power is adjusted secondly.

[0061] For example, see Figure 2 , Figure 2 It is a flow chart of a distributed resource collaborative control strategy provided by an embodiment of the present invention; for example, monitoring user nodes, photovoltaic grid connection points and transformer gateway data. If low voltage is detected at the node, the cause of the low voltage is analyzed separately, and different terminal devices are coordinated for different analysis results to perform regulation: If the analysis shows that the three-phase load is unbalanced, according to the three-phase load of each outgoing line of the transformer, the phase-changing switch is controlled first to solve the three-phase imbalance problem. If there is no phase-changing switch in the substation or the regulation is not obvious, the SVG (Static Var Generator) is regulated to adjust the corresponding reactive output. If the analysis shows that the reactive power is insufficient, photovoltaics are regulated to increase the reactive output first. If the regulation is not obvious, SVG is regulated to increase the reactive output. If the analysis shows that the line is heavily overloaded, the phase-changing switch is controlled first to solve the single-phase heavy load problem. If there is no phase-changing switch in the substation or the regulation is not obvious, the charging pile power is regulated to decrease. If the analysis shows that the transformer gear setting is unreasonable, the transformer voltage is regulated to a reasonable gear. If an overvoltage is detected at a node, the cause of the overvoltage will be analyzed and the coordinated terminal equipment will be adjusted: If the analysis shows that the distributed photovoltaic power generation cannot be absorbed, the energy storage will be adjusted to a charging state through on-site control of the energy storage. If there is no energy storage equipment in the substation area or the problem still exists after adjustment, the photovoltaic inverter will be adjusted to adjust the power factor first and then the active output.

[0062] The embodiments of the present invention can improve the response speed and regulation capability of the power grid system, adapt to the challenges brought by the access of distributed resources; realize the optimal configuration and efficient utilization of distributed resources, and reduce energy waste; improve the stability and reliability of the power grid system, and reduce the occurrence of problems such as voltage over-limit; enhance the autonomous regulation capability of the distribution network substation, and reduce dependence on the master station.

[0063] Specifically, the distributed energy resources include photovoltaic power generation equipment, controllable loads, charging piles and energy storage equipment.

[0064] like Figure 3 As shown, Figure 3 It is a schematic diagram of the overall architecture of distributed resource collaborative control of a fusion terminal provided in an embodiment of the present invention; the figure includes a distribution cloud platform, an intelligent fusion terminal, a photovoltaic intelligent switch, a photovoltaic inverter, an energy storage device, a phase-changing switch, an SVG, a low-voltage load monitoring unit and a charging pile. Among them, the intelligent fusion terminal communicates with the distribution cloud platform through the 4G / 5G network to exchange data; the photovoltaic inverter communicates with the photovoltaic intelligent switch through the RS485 communication method and receives the control command of the photovoltaic intelligent switch; the charging pile communicates with the low-voltage load monitoring unit through the RS485 communication method and receives the control command of the low-voltage load monitoring unit; there is a communication connection between the photovoltaic intelligent switch, energy storage equipment, phase-changing switch, SVG and low-voltage load monitoring unit and the intelligent fusion terminal to receive the control command of the intelligent fusion terminal; the photovoltaic intelligent switch communicates with the intelligent fusion terminal through the HPLC / RF-Mesh communication method, the energy storage device communicates with the intelligent fusion terminal through the Ethernet communication method, the phase-changing switch communicates with the intelligent fusion terminal through the HPLC / RF-Mesh communication method, the SVG communicates with the intelligent fusion terminal through the RS485 communication method, and the low-voltage monitoring unit communicates with the intelligent fusion terminal through the Mesh communication method, accepts the regulation of the intelligent fusion terminal, and can realize rigid control / flexible adjustment of distributed resources.

[0065] It is worth noting that with the help of the edge computing module equipped on the intelligent fusion terminal hardware platform, detailed status information of distributed energy resources (covering distributed photovoltaic, energy storage, charging piles and other types) can be collected in real time, including but not limited to key parameters such as power, voltage, and electricity, so as to fully and accurately grasp the current operation status of each distributed resource. Through in-depth analysis of the overall control objectives of the substation, this overall goal covers multiple aspects such as ensuring grid voltage stability, load balance, and efficient use of resources. Then, based on the analysis results, scientific methods are used to decompose the control instructions according to hierarchical and modular ideas, and the complex overall control requirements are decomposed into specific and operational sub-instructions, just like breaking down a large task into multiple small steps, so that each distributed resource can clarify its specific tasks. The intelligent fusion terminal supports various commonly used industrial communication protocols, such as RS485, HPLC / RF-Mesh, Ethernet, and 4G / 5G. No matter what type of distributed energy resources and what communication method they use, it can establish a stable real-time interactive channel with them, smoothly complete the upload and download of data and the accurate issuance of control instructions, give full play to its key role as a core control node, and ensure that the entire distributed resource collaborative control optimization strategy can be effectively implemented.

[0066] The embodiment of the present invention discloses a method for generating a distributed resource collaborative control strategy, which obtains the status information of the distributed energy resources of the fusion terminal in the substation, and performs a status analysis on the power grid system of the substation according to the status information; if the power grid system has an overvoltage condition, the voltage status of the user terminal of the substation is obtained; an over-limit analysis is performed on the voltage status to obtain an over-limit analysis result; and a distributed resource collaborative control strategy is generated according to the over-limit analysis result to collaboratively control the distributed energy resources. By using an intelligent fusion terminal to realize real-time status monitoring and performance evaluation of distributed resources, a distributed resource collaborative control strategy is generated, which can dynamically adjust the control strategy according to real-time power grid data and environmental conditions to ensure efficient collaborative work of distributed resources, thereby improving the response speed and regulation capability of the power grid system to adapt to the challenges brought by the access of distributed resources.

[0067] See also Figure 4 , Figure 4 1 is a schematic diagram of a distributed resource collaborative control strategy generation system 10 provided in an embodiment of the present invention. The distributed resource collaborative control strategy generation system 10 includes:

[0068] The status information acquisition module 11 is used to acquire the status information of the distributed energy resources of the integrated terminal in the substation area, and perform status analysis on the power grid system of the substation area according to the status information;

[0069] A voltage status acquisition module 12 is used to acquire the voltage status of the user terminal in the substation area if an overvoltage occurs in the power grid system;

[0070] A voltage over-limit analysis module 13 is used to perform an over-limit analysis on the voltage state to obtain an over-limit analysis result;

[0071] The control strategy generation module 14 is used to generate a distributed resource collaborative control strategy according to the limit-crossing analysis result to collaboratively control the distributed energy resources.

[0072] Specifically, the voltage over-limit analysis module 13 is used to:

[0073] Performing an over-limit analysis on the voltage state, and if the voltage state exceeds a lower limit, analyzing the reason why the voltage state exceeds a lower limit, and obtaining an over-limit analysis result;

[0074] If the voltage state exceeds the upper limit, the reason why the voltage state exceeds the upper limit is analyzed to obtain an analysis result of exceeding the upper limit.

[0075] Specifically, the reasons why the voltage state exceeds the lower limit include unbalanced three-phase load, insufficient reactive power, overload in the substation, and unreasonable transformer gear setting.

[0076] Specifically, the control strategy generation module 14 is used to:

[0077] If the over-limit analysis result is that the three-phase load is unbalanced, the phase-changing switch is adjusted first, and the SVG is adjusted secondly;

[0078] If the over-limit analysis result is insufficient reactive power, the photovoltaic power is regulated first, and the SVG is regulated secondly;

[0079] If the over-limit analysis result is that the area is overloaded, the phase-changing switch is adjusted first, and the charging pile is adjusted secondly;

[0080] If the over-limit analysis result is that the transformer gear setting is unreasonable, the transformer gear is adjusted first;

[0081] If the over-limit analysis result is that the distributed photovoltaic power cannot be consumed locally, priority is given to local energy storage control, and second priority is given to regulating the photovoltaic power.

[0082] Specifically, the distributed energy resources include photovoltaic power generation equipment, controllable loads, charging piles and energy storage equipment.

[0083] A distributed resource collaborative control strategy generation system 10 provided in an embodiment of the present invention can implement all the processes of the distributed resource collaborative control strategy generation method of the above-mentioned embodiment. The functions of each module in the system and the technical effects achieved are respectively the same as the functions of the distributed resource collaborative control strategy generation method of the above-mentioned embodiment and the technical effects achieved, which will not be repeated here.

[0084] The above is a preferred embodiment of the present invention. It should be pointed out that a person skilled in the art can make several improvements and modifications without departing from the principle of the present invention. These improvements and modifications are also considered to be within the scope of protection of the present invention.

Claims

1. A distributed resource collaborative control strategy generation method, characterized in that: include: Acquire status information of distributed energy resources of the integrated terminal in the substation area, and perform status analysis on the power grid system of the substation area according to the status information; If the power grid system has an overvoltage condition, the voltage status of the user terminal in the substation area is obtained; Performing an over-limit analysis on the voltage state to obtain an over-limit analysis result; According to the over-limit analysis result, a distributed resource collaborative control strategy is generated to collaboratively control the distributed energy resources.

2. The distributed resource collaborative control strategy generation method according to claim 1, characterized in that: The performing an over-limit analysis on the voltage state to obtain an over-limit analysis result includes: Performing an over-limit analysis on the voltage state, and if the voltage state exceeds a lower limit, analyzing the reason why the voltage state exceeds a lower limit, and obtaining an over-limit analysis result; If the voltage state exceeds the upper limit, the reason why the voltage state exceeds the upper limit is analyzed to obtain an analysis result of exceeding the upper limit.

3. The distributed resource collaborative control strategy generation method according to claim 2, characterized in that: The reasons why the voltage state exceeds the lower limit include unbalanced three-phase load, insufficient reactive power, overload in the substation and unreasonable transformer gear setting.

4. The distributed resource collaborative control strategy generation method according to claim 1, characterized in that: The generating, according to the over-limit analysis result, a distributed resource collaborative control strategy to collaboratively control the distributed energy resources comprises: If the over-limit analysis result is that the three-phase load is unbalanced, the phase-changing switch is adjusted first, and the SVG is adjusted secondly; If the over-limit analysis result is insufficient reactive power, the photovoltaic power is regulated first, and the SVG is regulated secondly; If the over-limit analysis result is that the area is overloaded, the phase-changing switch is adjusted first, and the charging pile is adjusted secondly; If the over-limit analysis result is that the transformer gear setting is unreasonable, the transformer gear is adjusted first; If the over-limit analysis result is that the distributed photovoltaic power cannot be consumed locally, priority is given to local energy storage control, and second priority is given to regulating the photovoltaic power.

5. The distributed resource collaborative control strategy generation method according to claim 1, characterized in that: The distributed energy resources include photovoltaic power generation equipment, controllable loads, charging piles and energy storage equipment.

6. A distributed resource collaborative control strategy generation system, characterized in that: include: A status information acquisition module, used to acquire status information of distributed energy resources integrated with terminals in the substation area, and perform status analysis on the power grid system of the substation area according to the status information; A voltage status acquisition module is used to acquire the voltage status of the user terminal in the substation area if an overvoltage occurs in the power grid system; A voltage over-limit analysis module is used to perform an over-limit analysis on the voltage state to obtain an over-limit analysis result; The control strategy generation module is used to generate a distributed resource collaborative control strategy according to the over-limit analysis result to collaboratively control the distributed energy resources.

7. The distributed resource collaborative control strategy generation system according to claim 6, characterized in that: The voltage over-limit analysis module is used to: Performing an over-limit analysis on the voltage state, and if the voltage state exceeds a lower limit, analyzing the reason why the voltage state exceeds a lower limit, and obtaining an over-limit analysis result; If the voltage state exceeds the upper limit, the reason why the voltage state exceeds the upper limit is analyzed to obtain an analysis result of exceeding the upper limit.

8. The distributed resource collaborative control strategy generation system according to claim 7, characterized in that: The reasons why the voltage state exceeds the lower limit include unbalanced three-phase load, insufficient reactive power, overload in the substation and unreasonable transformer gear setting.

9. The distributed resource collaborative control strategy generation system according to claim 6, characterized in that: The control strategy generation module is used to: If the over-limit analysis result is that the three-phase load is unbalanced, the phase-changing switch is adjusted first, and the SVG is adjusted secondly; If the over-limit analysis result is insufficient reactive power, the photovoltaic power is regulated first, and the SVG is regulated secondly; If the over-limit analysis result is that the area is overloaded, the phase-changing switch is adjusted first, and the charging pile is adjusted secondly; If the over-limit analysis result is that the transformer gear setting is unreasonable, the transformer gear is adjusted first; If the over-limit analysis result is that the distributed photovoltaic power cannot be consumed locally, priority is given to local energy storage control, and second priority is given to regulating the photovoltaic power.

10. The distributed resource collaborative control strategy generation system according to claim 6, characterized in that: The distributed energy resources include photovoltaic power generation equipment, controllable loads, charging piles and energy storage equipment.

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