CN115102953B - Power distribution network Yun Bianduan cooperative management and control system and method - Google Patents
Power distribution network Yun Bianduan cooperative management and control system and method Download PDFInfo
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Abstract
The embodiment of the invention provides a cloud edge end cooperative control system and method for a power distribution network, and belongs to the technical field of power distribution Internet of things. The system comprises: the system comprises an autonomous control terminal, an aggregation cooperative device and a central cloud which are connected with a tree network; the central cloud is a primary node, the aggregation cooperative device is a secondary node, and the autonomous control terminal is a final node; the central cloud is connected with a plurality of aggregation cooperative devices, and each aggregation cooperative device is connected with a plurality of autonomous control terminals. According to the scheme, a mode of 'center cloud' + 'edge cloud' is adopted, the edge computing functions of clustering and strategy making are added to the end side equipment, the cloud computing functions of aggregation and strategy making are added to the side equipment, on one hand, intra-class self-organization, inter-class aggregation and collaboration of distributed resources can be achieved, on the other hand, cloud computing pressure can be lowered, localized processing is achieved, and efficient coordination management and control and overall computing capacity between layers are improved.
Description
Technical Field
The invention relates to the technical field of power distribution Internet of things, in particular to a power distribution network cloud edge end cooperative control system and a power distribution network cloud edge end cooperative control method.
Background
The distribution network is used as a key intermediate link at two ends of a power system link production and marketing, is a key link for connecting transmission and users, and is changed from a traditional unidirectional electric energy provider to bidirectional energy flow and advanced service along with the increase of the demand of flexible load energy diversity along with the large-scale access of high-proportion distributed renewable energy sources and electric automobiles. The cloud side end is used as the Internet of things of the power distribution network of the system architecture, on one hand, the comprehensive sensing capability of the running state of the power distribution network can be greatly improved, on the other hand, the requirement of large connection of a mass distributed resource access system can be met, the bidirectional interaction of data of a power distribution transformer area is promoted, and the transformer area management and control efficiency is improved.
Nowadays, distributed resources such as distributed wind power, roof photovoltaic, energy storage, triple co-generation, electric vehicles, flexible loads and the like are connected in a large scale, a series of influences are brought to safe and stable operation and centralized management of a power distribution network, and the power distribution network has the characteristics of complex structure, multiple devices and complex technology. The distributed resources have the characteristics of large quantity, dispersion, large uncertainty and the like which are unfavorable for the regulation and control of the power distribution network, and the real-time monitoring and the efficient and orderly management and control of the distributed resources are difficult to realize by means of the existing regulation and control method. In order to solve the above problems, a system and a method for controlling cloud edge end cooperation of a power distribution network are required to be created.
Disclosure of Invention
The embodiment of the invention aims to provide a power distribution network cloud edge end cooperative control system and a power distribution network cloud edge end cooperative control method, which at least solve the problems that the existing control method cannot meet a series of characteristics of large distributed resource quantity, dispersion, large uncertainty and the like, which are not beneficial to the control of a power distribution network.
In order to achieve the above object, a first aspect of the present invention provides a cloud edge end cooperative management and control system for a power distribution network, the system comprising: the system comprises an autonomous control terminal, an aggregation cooperative device and a central cloud which are connected with a tree network; the central cloud is a primary node, the aggregation cooperative device is a secondary node, and the autonomous control terminal is a final node; the central cloud is connected with a plurality of aggregation cooperative devices, and each aggregation cooperative device is connected with a plurality of autonomous control terminals; the self-made control terminal is used for collecting resource information of each grid-connected cluster in the corresponding area and carrying out corresponding grid-connected cluster regulation and control according to a secondary regulation and control instruction from the aggregation cooperative device; the aggregation cooperative device is used for synchronizing the resource information uploaded by all connected autonomous control terminals and issuing corresponding secondary regulation and control instructions to all connected autonomous control terminals; the central cloud is used for synchronizing the resource information uploaded by all connected aggregation cooperative devices, generating and gradually issuing corresponding primary regulation and control instructions to all connected autonomous control terminals; and the secondary regulation and control instruction and the primary regulation and control instruction are generated based on the corresponding resource information.
Optionally, in the tree network connection relationship, a communication relationship exists between peer nodes.
Optionally, all inter-span nodes and inter-peer nodes are wireless communications, and the inter-span nodes and inter-peer nodes communications rules at least include: any one of a wireless public network, a carrier wave and an optical fiber.
Optionally, each homemade control terminal is correspondingly responsible for a grid-connected cluster.
Optionally, the grid-connected clustering includes: at least one of distributed resources, flexible load, electricity users.
Optionally, the resource information of the grid-connected cluster includes: and at least one of electric quantity information, temperature information, energy efficiency ratio information, cold/hot power information, system frequency information and power consumption/power supply characteristic information of each device under the corresponding cluster.
Optionally, the self-control terminal is further configured to generate a self-control three-level control instruction according to the resource information corresponding to the grid-connected cluster.
Optionally, on the premise that the regulation and control instruction meets the expectation, the priority of the third-level regulation and control instruction is greater than that of the second-level regulation and control instruction, and the priority of the second-level regulation and control instruction is greater than that of the first-level regulation and control instruction.
Optionally, the regulation type of the grid-connected cluster regulation includes: at least one of coordination control, intelligent operation and maintenance, peak clipping and valley filling, energy dynamic balance and information release interaction.
The second aspect of the present invention provides a method for cooperatively controlling cloud edges of a power distribution network, where the method includes: responding to the user regulation and control requirement, the central cloud transmits a corresponding regulation and control starting instruction to all connected aggregation cooperative devices, and the aggregation cooperative devices forward the corresponding regulation and control starting instruction to all corresponding connected autonomous control terminals; responding to the regulation starting instruction, and performing self regulation by the autonomous control terminal; if the self-regulation of the autonomous control terminal cannot meet the expectation, the autonomous control terminal uploads the acquired resource information to the corresponding connected aggregation cooperative device; the aggregation cooperative device synchronizes the resource information uploaded by all the connected autonomous control terminals and negotiates with other aggregation cooperative devices to generate a secondary regulation instruction; if the secondary regulation and control instruction does not meet the expectation, the aggregation cooperative device continuously uploads the resource information to the correspondingly connected central cloud; the central cloud synchronizes the resource information uploaded by all connected aggregation cooperative devices, and generates and transmits corresponding primary regulation and control instructions step by step to all connected homemade control terminals; and executing the primary regulation and control instruction by the homemade control terminal.
Optionally, the autonomous control terminal performs self-regulation and control, including: responding to the regulation and control starting instruction, acquiring resource information of a corresponding grid-connected cluster by the autonomous control terminal, and negotiating with other autonomous control terminals to generate a self-regulation and control three-level regulation and control instruction; and the autonomous control terminal performs self-regulation based on the three-level regulation instruction.
Optionally, the priority of the third-level regulation command is greater than that of the second-level regulation command, and the priority of the second-level regulation command is greater than that of the first-level regulation command.
Optionally, the executing rules of the third-stage regulation instruction, the second-stage regulation instruction and the first-stage regulation instruction include: if the three-level regulation and control instruction meets the expectation, the autonomous control terminal directly executes the three-level regulation and control instruction; if the three-level regulation and control instruction does not meet the expectation, and the two-level regulation and control instruction meets the expectation, the autonomous control terminal directly executes the two-level regulation and control instruction; and if the three-level regulation and control instruction and the two-level regulation and control instruction do not meet the expectations, the autonomous control terminal executes the one-level regulation and control instruction.
In another aspect, the present invention provides a computer readable storage medium having instructions stored thereon, which when executed on a computer, cause the computer to perform the above-described method of collaborative management of a power distribution network Yun Bianduan.
According to the technical scheme, the edge computing functions of clustering and strategy making are added to the end side equipment by adopting the mode of 'center cloud' + 'edge cloud', and the cloud computing functions of aggregation and strategy making are added to the side equipment, so that on one hand, intra-class self-organization, inter-class aggregation and collaboration of distributed resources can be realized, on the other hand, cloud computing pressure can be lowered, localized processing can be realized, and high-efficiency coordination management and control and overall computing capacity between layers can be improved.
Additional features and advantages of embodiments of the invention will be set forth in the detailed description which follows.
Drawings
The accompanying drawings are included to provide a further understanding of embodiments of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain, without limitation, the embodiments of the invention. In the drawings:
fig. 1 is a system configuration diagram of a power distribution network Yun Bianduan cooperative management and control system according to an embodiment of the present invention;
fig. 2 is a flowchart illustrating steps of a method for cooperative management and control of a power distribution network Yun Bianduan according to an embodiment of the present invention;
FIG. 3 is a flow chart of an implementation process of an embodiment provided by an implementation of the present invention.
Detailed Description
The following describes specific embodiments of the present invention in detail with reference to the drawings. It should be understood that the detailed description and specific examples, while indicating and illustrating the invention, are not intended to limit the invention.
The distribution network is used as a key intermediate link at two ends of a power system link production-marketing, is a key link for connecting transmission and users, and is changed from a traditional unidirectional electric energy provider to bidirectional energy flow and advanced service along with the increase of the demand of flexible load energy diversity along with the large-scale access of high-proportion distributed renewable energy sources and electric automobiles. The cloud side end is used as the Internet of things of the power distribution network of the system architecture, on one hand, the comprehensive sensing capability of the running state of the power distribution network can be greatly improved, on the other hand, the requirement of large connection of a mass distributed resource access system can be met, the bidirectional interaction of data of a power distribution transformer area is promoted, and the transformer area management and control efficiency is improved.
Nowadays, distributed resources such as distributed wind power, roof photovoltaic, energy storage, triple co-generation, electric vehicles, flexible loads and the like are connected in a large scale, a series of influences are brought to safe and stable operation and centralized management of a power distribution network, and the power distribution network has the characteristics of complex structure, multiple devices and complex technology. The distributed resources have the characteristics of large quantity, dispersion, large uncertainty and the like which are unfavorable for the regulation and control of the power distribution network, and the real-time monitoring and the efficient and orderly management and control of the distributed resources are difficult to realize by means of the existing regulation and control method.
Based on the problems, the scheme of the invention aims to solve the problems that the existing regulation and control method cannot meet a series of characteristics of large distributed resource quantity, dispersion, large uncertainty and the like, which are unfavorable for regulation and control of a power distribution network, and provides a cloud edge end cooperative control method and system of the power distribution network.
Fig. 1 is a system configuration diagram of a power distribution network Yun Bianduan cooperative management and control system according to an embodiment of the present invention. As shown in fig. 1, an embodiment of the present invention provides a cloud edge end cooperative management and control system of a power distribution network, where the system includes: the system comprises an autonomous control terminal, an aggregation cooperative device and a central cloud which are connected with a tree network; the central cloud is a primary node, the aggregation cooperative device is a secondary node, and the autonomous control terminal is a final node; the central cloud is connected with a plurality of aggregation cooperative devices, and each aggregation cooperative device is connected with a plurality of autonomous control terminals; the self-made control terminal is used for collecting resource information of each grid-connected cluster in the corresponding zone and carrying out corresponding grid-connected cluster regulation and control according to a secondary regulation and control instruction from the aggregation cooperative device; the aggregation cooperative device is used for synchronizing resource information sent by all connected autonomous control terminals and sending corresponding secondary regulation and control instructions to all connected autonomous control terminals; the central cloud is used for synchronizing resource information sent by all connected aggregation cooperative devices and sending corresponding primary regulation and control instructions to all connected autonomous control terminals; the secondary regulation and control instruction and the primary regulation and control instruction are generated based on corresponding resource information.
In the embodiment of the invention, the scheme of the invention provides a method and a system for cooperatively controlling the cloud edge end of a power distribution network according to the cloud edge end cooperative interaction requirement of a power distribution Internet of things system, and provides a basic framework of an autonomous control terminal and an aggregation cooperative device. The method comprises the steps of deploying intra-class self-organization and inter-class contract cooperation strategy modules in an autonomous control terminal by means of a central cloud and edge cloud mode and combining data acquisition and processing technology, edge computing technology, communication technology and the like, arranging aggregation and contract cooperation strategy modules in an aggregation cooperation device, and realizing end-side self-organization, end-side and end-side cooperation, end-side and side, side and cloud side cooperation management and control. The specific implementation concept is as follows:
the autonomous control terminal, the aggregation cooperative device and the central cloud are connected through the tree network, and in the traditional method, the central cloud needs to comprehensively manage all equipment units in the jurisdiction.
Therefore, the autonomous control terminal is a primary regulation and control device arranged at the equipment side, which realizes the resource information acquisition and data preprocessing within the control range, and timely transmits the acquired information to the superior aggregation cooperative device after processing, and receives and executes the superior regulation and control command. Therefore, the autonomous control terminal has certain edge computing capability, and the clustering algorithm module and the strategy module are embedded in a class unit, so that the clustering algorithm can be adopted to cluster resources in the regulated range, and the strategy module is used for carrying out real-time analysis and decision on the lower resources and carrying out centralized management and cooperative regulation on the lower resources. Preferably, in order to effectively distinguish resources such as distributed resources, flexible loads, electricity users and the like, the categories are respectively sorted, and each autonomous control terminal is responsible for clustering. Because the equipment use/power supply under the same cluster has certain similarity, information acquisition and equipment regulation can be efficiently performed based on the similarity. Of course, the scheme of the invention is not limited to the above classification and can be further disassembled and divided, for example, an intelligent meter, an intelligent electric appliance, an electric automobile, photovoltaic power generation, wind power generation and the like are divided, and all the schemes are theoretically within the protection scope of the scheme of the invention as long as the corresponding cluster division exists.
The aggregation cooperative device takes a certain area as a unit and takes charge of all autonomous control terminals in one area, for example, takes a platform area as a unit. On the one hand, the method is used for synchronizing information transmitted by all autonomous control terminals in effective time, uploading running information and states of all equipment to a central cloud for real-time monitoring, and issuing regulation and control instructions to the autonomous control terminals below according to regulation and control requirements. On the other hand, the cloud is used as an edge cloud to perform centralized management and collaborative regulation on the autonomous control terminal which is governed by the cloud.
The central cloud is the highest decision unit, synchronizes the information of the lower aggregation cooperative device, centrally manages and regulates the information, coordinates the safe and stable operation and reasonable and orderly power utilization of distributed resources, flexible loads, power utilization users and other resources in the jurisdiction range, takes data storage and data analysis processing as means and combines a certain cloud computing method, and according to the specific requirements and targets of the power distribution network, specific regulation and control tasks are realized. Preferably, the regulation type includes: at least one of coordination control, intelligent operation and maintenance, peak clipping and valley filling, energy dynamic balance and information release interaction.
Preferably, in the tree network connection relationship, the peer nodes have a mutual communication relationship.
In the embodiment of the invention, because the autonomous control terminal and the aggregation cooperative device both have certain edge computing capability, if the regulation scheme is determined based on the resource information in the current area, incomplete consideration is caused. Because the power grid connection is not an island in charge of all the devices, but has an intercommunication connection relationship, the self-regulation capability of the autonomous control terminal or the auxiliary regulation capability of the aggregation cooperative device is required to be realized, and the resource information in the corresponding responsible area can not be realized far by means of the auxiliary regulation capability. In order to make regulation effective, each responsible area needs to share resources, and overall regulation instruction generation is performed based on the power supply characteristics of the power grid. And in order to facilitate the trade-off resource sharing, the peer nodes have a mutual communication relationship. Namely, the autonomous control terminal and other autonomous control terminals have the same communication relationship, and the aggregation cooperative device and other aggregation cooperative devices also have the mutual communication relationship.
Preferably, all inter-level node and inter-level node communication are wireless communication, and the communication rule at least comprises: any one of a wireless public network, a carrier wave and an optical fiber.
Preferably, each homemade control terminal is correspondingly responsible for a grid-connected cluster.
Preferably, the grid-connected clustering includes: at least one of distributed resources, flexible load, electricity users.
Preferably, the resource information of each grid-connected cluster includes: at least one of electric quantity information, temperature information, energy efficiency ratio information, cold/hot power information, system frequency information and electricity utilization/co-electricity characteristic information of each device under the corresponding cluster.
In the embodiment of the invention, the clustering of the autonomous control terminal is mainly homogeneous clustering, and the homogeneity refers to the resources with the same collected data types, and the main purpose is to extract the same homogeneous resources with the same electricity utilization characteristics, electricity generation characteristics or the same peak clipping and valley filling times, peak clipping and valley filling capacity, peak clipping and valley filling time period and the like, so that the unified characteristic analysis and hierarchical regulation and control of the similar resources are facilitated. Specifically, for example:
1) The intelligent meter autonomous control terminal only collects information of the household intelligent meter, such as three-phase voltage, three-phase current, average voltage and current, total active power, total reactive power, power factor, system frequency and the like.
2) The intelligent electric appliance autonomous control terminal only collects electric appliance information, which refers to temperature control loads such as air conditioners, water heaters, refrigerators and the like, and specific information such as electric power, cold power, hot power, current set temperature, energy efficiency ratio, on-off state information and the like.
3) The autonomous control terminal of the electric automobile only collects relevant information of the electric automobile, such as charge state, charge and discharge power, charge and discharge efficiency, charge and discharge state and the like.
4) The distributed resource autonomous control terminal only collects the related information of the resources such as photovoltaic power generation, wind power generation and combined cooling, heating and power supply, such as active power, reactive power, cooling power, heating power and the like.
Preferably, the self-control terminal is further used for generating a self-control three-level control instruction according to the resource information of the corresponding grid-connected clusters.
In the embodiment of the invention, the self-control terminal has certain self-control capability, the current self-control capability is far smaller than the centralized control capability of the central cloud, but the self-control capability is realized by enough capability based on conventional adjustment, and the control response timeliness can be greatly satisfied because the steps of information reporting and waiting scheme generation are omitted.
Preferably, the priority of the third-level regulation command is greater than that of the second-level regulation command, and the priority of the second-level regulation command is greater than that of the first-level regulation command.
In the embodiment of the invention, when the three-level regulation command is enough to realize self-regulation of the self-made control terminal, the self-generated three-level regulation command can be directly executed in order to reduce time delay, and the subsequent two-level regulation command generation step and the primary regulation command generation step are canceled. Correspondingly, when the secondary regulation and control instruction meets the requirement, the primary regulation and control instruction generation step can be canceled. Therefore, when the regulation and control instruction meets the requirement, the priority of the third-level regulation and control instruction is larger than that of the second-level regulation and control instruction, and the priority of the second-level regulation and control instruction is larger than that of the first-level regulation and control instruction.
In another possible implementation manner, the aggregation cooperative device has the formulating functions of an aggregation policy and a contract cooperative policy, the aggregation policy module is used for integrating various information of a lower terminal, formulating the aggregation policy with the aim of optimal cost and environmental protection priority, realizing the self-satisfaction of the device participating in peak clipping and valley filling tasks, when the task requirement cannot be met through the aggregation policy, communicating with the adjacent device through the contract cooperative policy, and cooperatively completing the task requirement in a contract form, such as formulating and contracting with the adjacent device when the device is less than the contracted capacity or the contracted times, completing the unfinished part of the device by the adjacent device, and paying a certain economic settlement by the device. In addition to negotiating with other aggregation cooperative devices to generate a regulation command, other aggregation cooperative devices can be selected to execute in the regulation command execution step, so that the overall flexibility of the system is improved.
Fig. 2 is a flowchart of a method for cooperatively controlling a power distribution network Yun Bianduan according to an embodiment of the present invention. As shown in fig. 2, an embodiment of the present invention provides a method for controlling cloud edge coordination, where the method includes:
step S10: responding to the user regulation and control requirement, the central cloud transmits a corresponding regulation and control starting instruction to all connected aggregation cooperative devices, and the aggregation cooperative devices forward the corresponding regulation and control starting instruction to all the autonomous control terminals correspondingly connected.
Step S20: and responding to the regulation starting instruction, acquiring resource information corresponding to the grid-connected clusters by the autonomous control terminal, negotiating with other autonomous control terminals to generate a self-regulated three-level regulation instruction, directly executing the three-level regulation instruction when the three-level regulation instruction meets the expectations, and otherwise, jumping to the step S30.
Step S30: uploading the acquired resource information to a corresponding connected aggregation cooperative device, synchronizing the resource information sent by all autonomous control terminals connected by the aggregation cooperative device, and negotiating with other aggregation cooperative devices to generate a secondary regulation instruction; and when the secondary regulation instruction meets the expectation, directly executing the secondary regulation instruction, otherwise, jumping to the step S40.
Step S40: the aggregation cooperative devices continue to send resource information to the correspondingly connected central cloud, all the aggregation cooperative devices synchronously connected by the central cloud send the resource information and generate corresponding primary regulation and control instructions, the primary regulation and control instructions are forwarded to the corresponding homemade control terminals step by step, and the homemade control terminals execute the primary regulation and control instructions.
Examples:
peak clipping and valley filling are taken as one type of demand response, and are one mode of the distributed resources participating in stable, reliable and optimized operation of the distribution network, so the peak clipping and valley filling task is taken as an example and is described as a specific case of a cooperative management and control method of the power distribution network Yun Bianduan.
The autonomous control terminal receives the peak clipping and valley filling instruction of the superior aggregation cooperative device, combines the state information, the electric information, the environment information, the electricity price, the gas price and other price information of various resources by combining all controllers based on an intra-class self-organizing strategy module, and formulates an intra-class peak clipping and valley filling resource regulation strategy, regulates and controls the load, the power, the frequency, the state and the like of various distributed resources, aims at the maximum of economic optimization and distributed energy consumption, and realizes ordered regulation and transfer of the load and the in-class peak clipping and valley filling self-organization of the distributed energy. When the task requirements cannot be met through the intra-class self-organizing strategy, the device is communicated with the adjacent terminal and can cooperatively complete the task requirements in a contract form, for example, when the device is smaller than the contracted capacity or the contracted duration, the device makes a contract with the adjacent terminal, the adjacent terminal completes the unfinished part of the device, and the device pays for certain economic settlement.
As shown in fig. 3, the implementation process is as follows:
step 1: the central cloud receives the peak clipping and valley filling instructions and then sends the peak clipping and valley filling instructions to the lower level, and the aggregation cooperative device sends the peak clipping and valley filling instructions to each autonomous control terminal according to the data indexes such as the adjustable capacity, the adjustable times, the adjustable period and the like which are reported before each autonomous control terminal.
Step 2: after receiving the upper-level peak clipping and valley filling instruction, the autonomous control terminal formulates a self-organizing strategy in the class, judges whether the peak clipping and valley filling task of the terminal can be met according to the strategy, if so, executes the command and reports the command to the upper-level aggregation cooperative device; if not, communicating with the adjacent autonomous control terminal, and making a contract response strategy; if the peak clipping and valley filling tasks of the control terminals cannot be met, reporting to the aggregation cooperative device, and making an aggregation strategy through the aggregation cooperative device.
Step 3: executing a command and reporting to a superior center cloud if the peak clipping and valley filling tasks can be met through an aggregation strategy of the aggregation cooperative device, otherwise, communicating with an adjacent aggregation cooperative device, and formulating a contract response strategy; if the peak clipping and valley filling tasks cannot be met, reporting the peak clipping and valley filling tasks to a central cloud, and executing peak clipping and valley filling instructions by using a cloud computing method of the central cloud.
The embodiment of the invention also provides a computer readable storage medium, wherein the computer readable storage medium stores instructions, which when run on a computer, cause the computer to execute the power distribution network Yun Bianduan collaborative management method.
Those skilled in the art will appreciate that all or part of the steps in a method for implementing the above embodiments may be implemented by a program stored in a storage medium, where the program includes several instructions for causing a single-chip microcomputer, chip or processor (processor) to perform all or part of the steps in a method according to the embodiments of the invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The alternative embodiments of the present invention have been described in detail above with reference to the accompanying drawings, but the embodiments of the present invention are not limited to the specific details of the above embodiments, and various simple modifications may be made to the technical solutions of the embodiments of the present invention within the scope of the technical concept of the embodiments of the present invention, and all the simple modifications belong to the protection scope of the embodiments of the present invention. In addition, the specific features described in the above embodiments may be combined in any suitable manner without contradiction. In order to avoid unnecessary repetition, the various possible combinations of embodiments of the invention are not described in detail.
In addition, any combination of the various embodiments of the present invention may be made, so long as it does not deviate from the idea of the embodiments of the present invention, and it should also be regarded as what is disclosed in the embodiments of the present invention.
Claims (12)
1. The utility model provides a distribution network cloud limit end is management and control system in coordination which characterized in that, the system includes:
the system comprises an autonomous control terminal, an aggregation cooperative device and a central cloud which are connected with a tree network; the central cloud is a primary node, the aggregation cooperative device is a secondary node, and the autonomous control terminal is a final node;
the central cloud is connected with a plurality of aggregation cooperative devices, and each aggregation cooperative device is connected with a plurality of autonomous control terminals;
the autonomous control terminal is used for collecting resource information of each grid-connected cluster in the corresponding area and carrying out corresponding grid-connected cluster regulation and control according to a secondary regulation and control instruction from the aggregation cooperative device;
the autonomous control terminal is also used for generating a self-regulating three-level regulating instruction according to the resource information of the corresponding grid-connected clusters;
the aggregation cooperative device is used for synchronizing the resource information uploaded by all connected autonomous control terminals and issuing corresponding secondary regulation and control instructions to all connected autonomous control terminals;
the central cloud is used for synchronizing the resource information uploaded by all connected aggregation cooperative devices, generating and gradually issuing corresponding primary regulation and control instructions to all connected autonomous control terminals;
the secondary regulation and control instruction and the primary regulation and control instruction are generated based on corresponding resource information;
the execution rules of the three-level regulation instruction, the two-level regulation instruction and the one-level regulation instruction comprise:
if the three-level regulation and control instruction meets the expectation, the autonomous control terminal directly executes the three-level regulation and control instruction;
if the three-level regulation and control instruction does not meet the expectation, and the two-level regulation and control instruction meets the expectation, the autonomous control terminal directly executes the two-level regulation and control instruction;
and if the three-level regulation and control instruction and the two-level regulation and control instruction do not meet the expectations, the autonomous control terminal executes the one-level regulation and control instruction.
2. A system as recited in claim 1, wherein peer nodes have a communication relationship with each other within the tree network connection relationship.
3. A system as recited in claim 2, wherein all inter-peer and inter-peer communications are wireless communications, and wherein the inter-peer and inter-peer communications rules include at least: any one of a wireless public network, a carrier wave and an optical fiber.
4. The system of claim 1, wherein each autonomous control terminal is responsible for a grid-tie cluster.
5. The system of claim 4, wherein the grid-tie clustering comprises:
at least one of distributed resources, flexible load, electricity users.
6. The system of claim 1, wherein the resource information of the grid-connected clusters comprises:
and at least one of electric quantity information, temperature information, energy efficiency ratio information, cold/hot power information, system frequency information and power consumption/power supply characteristic information of each device under the corresponding cluster.
7. The system of claim 1, wherein the tertiary regulatory command has a priority greater than the secondary regulatory command and the secondary regulatory command has a priority greater than the primary regulatory command if the regulatory command meets an expected requirement.
8. The system of claim 1, wherein the regulation type of grid-tie cluster regulation comprises:
at least one of coordination control, intelligent operation and maintenance, peak clipping and valley filling, energy dynamic balance and information release interaction.
9. The cloud edge end cooperative control method for the power distribution network is characterized by comprising the following steps of:
responding to the user regulation and control requirement, the central cloud transmits a corresponding regulation and control starting instruction to all connected aggregation cooperative devices, and the aggregation cooperative devices forward the corresponding regulation and control starting instruction to all corresponding connected autonomous control terminals;
responding to the regulation starting instruction, and performing self regulation by the autonomous control terminal;
if the self-regulation of the autonomous control terminal cannot meet the expectation, the autonomous control terminal uploads the acquired resource information to the corresponding connected aggregation cooperative device;
the aggregation cooperative device synchronizes the resource information uploaded by all the connected autonomous control terminals and negotiates with other aggregation cooperative devices to generate a secondary regulation instruction;
the autonomous control terminal also generates a self-regulating three-level regulating instruction according to the resource information of the corresponding grid-connected clusters;
if the secondary regulation and control instruction does not meet the expectation, the aggregation cooperative device continuously uploads the resource information to the correspondingly connected central cloud;
the central cloud synchronizes the resource information uploaded by all connected aggregation cooperative devices, and generates and transmits corresponding primary regulation and control instructions to all connected autonomous control terminals step by step;
the autonomous control terminal executes the primary regulation instruction;
the execution rules of the three-level regulation instruction, the two-level regulation instruction and the one-level regulation instruction comprise:
if the three-level regulation and control instruction meets the expectation, the autonomous control terminal directly executes the three-level regulation and control instruction;
if the three-level regulation and control instruction does not meet the expectation, and the two-level regulation and control instruction meets the expectation, the autonomous control terminal directly executes the two-level regulation and control instruction;
and if the three-level regulation and control instruction and the two-level regulation and control instruction do not meet the expectations, the autonomous control terminal executes the one-level regulation and control instruction.
10. The method of claim 9, wherein the autonomous control terminal performs self-regulation, comprising:
responding to the regulation and control starting instruction, acquiring resource information of a corresponding grid-connected cluster by the autonomous control terminal, and negotiating with other autonomous control terminals to generate a self-regulation and control three-level regulation and control instruction;
and the autonomous control terminal performs self-regulation based on the three-level regulation instruction.
11. The method of claim 10, wherein the tertiary regulatory command has a priority greater than the secondary regulatory command, and wherein the secondary regulatory command has a priority greater than the primary regulatory command.
12. A computer readable storage medium having instructions stored thereon, which when run on a computer causes the computer to perform the power distribution network Yun Bianduan co-management method according to any one of claims 9 to 11.
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