CN115102953A - Power distribution network cloud edge terminal cooperative control system and method - Google Patents
Power distribution network cloud edge terminal cooperative control system and method Download PDFInfo
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Abstract
The embodiment of the invention provides a power distribution network cloud edge cooperative control system and method, 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-stage 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, edge computing functions of clustering and strategy making are added on the side equipment, and cloud computing functions of aggregation and strategy making are added on the side equipment, so that intra-class self-organization, inter-class aggregation and cooperation of distributed resources can be realized, on one hand, cloud computing pressure can be lowered, localized processing is realized, and high-efficiency coordination control and overall computing capacity among all levels is 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 collaborative control system and a power distribution network cloud edge collaborative control method.
Background
The distribution network is used as a key intermediate link for connecting two ends of a production and marketing link of a power system, is a key link for connecting power transmission and users, and the demand of flexible load energy utilization diversity is increased along with the large access of high-proportion distributed renewable energy sources and electric automobiles, so that the distribution network is changed from a traditional one-way electric energy provider to two-way energy flow and advanced service. The power distribution network Internet of things with cloud side ends as a system framework is constructed, on one hand, the comprehensive sensing capacity 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 data bidirectional interaction of a power distribution station area is promoted, and the station area management and control efficiency is improved.
Nowadays, the large-scale grid connection of distributed resources such as distributed wind power, roof photovoltaic, energy storage, triple co-generation, electric vehicles, flexible loads and the like brings a series of influences on safe and stable operation and centralized management of a power distribution network, so that the power distribution network has the characteristics of complex structure, multiple equipment and numerous and complex technology. The distributed resources have the characteristics of large quantity, dispersion, large uncertainty and the like which are not beneficial to the regulation and control of the power distribution network, and the real-time monitoring and the efficient and ordered management and control of the distributed resources are difficult to realize by depending on the conventional regulation and control method. In order to solve the above problems, a power distribution network cloud edge collaborative management and control system and method need to be created.
Disclosure of Invention
The embodiment of the invention aims to provide a power distribution network cloud edge cooperative control system and a power distribution network cloud edge cooperative control method, so as to at least solve the problem that the existing control method cannot meet a series of characteristics unfavorable for power distribution network control, such as large distributed resource amount, dispersion, large uncertainty and the like.
In order to achieve the above object, a first aspect of the present invention provides a power distribution network cloud edge collaborative management and control system, 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-stage 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-control terminal is used for acquiring resource information of each grid-connected cluster in the corresponding parcel, 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 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 resource information uploaded by all the connected aggregation cooperative devices, and generating and gradually issuing corresponding first-level regulation and control instructions to all the connected autonomous control terminals; the secondary regulation and control instruction and the primary regulation and control instruction are generated based on corresponding resource information.
Optionally, in the tree network connection relationship, a mutual communication relationship exists between peer nodes.
Optionally, all communications between cross-level nodes and between peer-level nodes are wireless communications, and the communications rules between cross-level nodes and between peer-level nodes at least include: any one of wireless public network, carrier wave and optical fiber.
Optionally, each self-control terminal is correspondingly responsible for a grid-connected clustering.
Optionally, the grid-connected clustering includes: at least one of distributed resources, flexible loads, and electricity users.
Optionally, the resource information of the grid-connected cluster includes: and corresponding to at least one of the electrical quantity information, the temperature information, the energy efficiency ratio information, the cold/heat power information, the system frequency information and the power utilization/supply characteristic information of each device under the clustering.
Optionally, the self-control terminal is further configured to generate a self-regulation three-level regulation instruction according to the resource information corresponding to the grid-connected cluster.
Optionally, on the premise that the regulation instruction meets expectations, the priority of the third-level regulation instruction is greater than that of the second-level regulation instruction, and the priority of the second-level regulation instruction is greater than that of the first-level regulation instruction.
Optionally, the regulation and control types of grid-connected clustering regulation and control include: coordination control, intelligent operation and maintenance, peak clipping and valley filling, energy dynamic balance and information distribution interaction.
The second aspect of the present invention provides a power distribution network cloud edge side collaborative control method, where the method is the power distribution network cloud edge side collaborative control system described above, and the method includes: responding to the regulation and control requirements of users, the central cloud issues corresponding regulation and control starting instructions to all connected aggregation cooperative devices, and the corresponding regulation and control starting instructions are forwarded to all correspondingly connected autonomous control terminals by the aggregation cooperative devices; 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 a correspondingly connected aggregation cooperative device; the aggregation cooperative device synchronizes resource information uploaded by all autonomous control terminals connected with the aggregation cooperative device 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 continues to upload resource information to the center cloud correspondingly connected; the central cloud synchronizes the resource information uploaded by all the aggregation cooperative devices connected with the central cloud, and generates and issues corresponding primary regulation and control instructions to all the connected self-control terminals step by step; and the self-made control terminal executes the primary regulation and control instruction.
Optionally, the autonomous control terminal performs self-regulation, including: responding to the regulation starting instruction, the autonomous control terminal acquires corresponding resource information of the grid-connected cluster, and negotiates with other autonomous control terminals to generate a self-regulation three-level regulation instruction; and the autonomous control terminal performs self-regulation based on the three-level regulation instruction.
Optionally, the priority of the third level regulation instruction is higher than that of the second level regulation instruction, and the priority of the second level regulation instruction is higher than that of the first level regulation instruction.
Optionally, the execution rules of the third-level regulation instruction, the second-level regulation instruction, and the first-level 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 third-level regulation instruction does not meet the expectation and the second-level regulation instruction meets the expectation, the autonomous control terminal directly executes the second-level regulation instruction; and if the three-level regulation instruction and the second-level regulation instruction do not meet the expectation, the autonomous control terminal executes the first-level regulation instruction.
In another aspect, the present invention provides a computer-readable storage medium, where instructions are stored on the computer-readable storage medium, and when the instructions are executed on a computer, the computer is caused to execute the foregoing power distribution network cloud side collaborative management and control method.
According to the technical scheme, the 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-side equipment, on one hand, intra-class self-organization, inter-class aggregation and cooperation of distributed resources can be achieved, on the other hand, cloud computing pressure can be lowered, localized processing is achieved, and efficient coordination control and overall computing capacity among all levels is improved.
Additional features and advantages of embodiments of the present invention will be described in detail in the detailed description which follows.
Drawings
The accompanying drawings, which are included to provide a further understanding of the 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 the embodiments of the invention and do not limit the embodiments. In the drawings:
fig. 1 is a system structure diagram of a power distribution network cloud edge cooperative management and control system according to an embodiment of the present invention;
fig. 2 is a flowchart illustrating steps of a power distribution network cloud edge cooperative management and control method according to an embodiment of the present invention;
fig. 3 is a flowchart of an implementation process of an embodiment provided in an embodiment of the present invention.
Detailed Description
The following describes in detail embodiments of the present invention with reference to the drawings. It should be understood that the detailed description and specific examples, while indicating the present invention, are intended for purposes of illustration and explanation only and are not intended to limit the scope of the invention.
The power distribution network is used as a key intermediate link at two ends of a power system link production-sales node and is a key link for connecting power transmission and users, the demand of flexible load energy utilization diversity increases along with the access of a large amount of high-proportion distributed renewable energy sources and electric vehicles, and the power distribution network is changed from a traditional one-way electric energy provider to two-way energy flow and advanced service. The power distribution network Internet of things with the cloud side end as the system framework is constructed, 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 data bidirectional interaction of a power distribution station area is promoted, and the station area management and control efficiency is improved.
Nowadays, the large-scale grid connection of distributed resources such as distributed wind power, roof photovoltaic, energy storage, triple co-generation, electric vehicles, flexible loads and the like brings a series of influences on safe and stable operation and centralized management of a power distribution network, so that the power distribution network has the characteristics of complex structure, multiple equipment and numerous and complex technology. The distributed resources have the characteristics of large quantity, dispersion, large uncertainty and the like which are not beneficial to the regulation and control of the power distribution network, and the real-time monitoring and the efficient and ordered management and control of the distributed resources are difficult to realize by depending on the conventional regulation and control method.
Based on the problems, the scheme of the invention aims to solve the problem that the existing regulation and control method cannot meet a series of characteristics unfavorable for regulation and control of the power distribution network, such as large distributed resource amount, dispersion, large uncertainty and the like, and provides a power distribution network cloud edge-end cooperative management and control method and a system.
Fig. 1 is a system structure diagram of a power distribution network cloud edge 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 power distribution network cloud edge collaborative management and control system, 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-stage 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-control terminal is used for acquiring resource information of each grid-connected cluster in the corresponding parcel, 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 synchronously connecting resource information uploaded by all the aggregation cooperative devices and issuing corresponding primary regulation and control instructions to all the connected autonomous control terminals; and 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, according to the requirement of cloud edge collaborative interaction of a power distribution internet of things system, the scheme of the invention provides a method and a system for cloud edge collaborative control of a power distribution network, and provides a basic architecture of an autonomous control terminal and a convergence collaborative device. By means of a central cloud plus edge cloud mode, in combination with a data acquisition and processing technology, an edge computing technology, a communication technology and the like, intra-class self-organization and inter-class contract cooperation strategy modules are deployed in an autonomous control terminal, and aggregation and contract cooperation strategy modules are arranged in an aggregation cooperation device, so that management and control of end-side self-organization, end-side and end-side cooperation, end-side and side, and side and cloud side cooperation are achieved. The specific realization concept is as follows:
the system comprises an autonomous control terminal, a convergence coordination device and a central cloud, wherein the autonomous control terminal, the convergence coordination device and the central cloud are connected through tree network setting, in the traditional method, the central cloud needs to comprehensively manage all equipment units in a district.
Therefore, the autonomous control terminal is a primary regulation and control device arranged at the side of the equipment, on one hand, resource information acquisition and data preprocessing in the control range of the autonomous control terminal are realized, on the other hand, the acquired information is processed and then timely transmitted to a superior aggregation cooperative device, and a superior regulation and control command is received and executed. Therefore, the autonomous control terminal has certain edge computing capacity, a clustering algorithm module and a strategy module are embedded in the autonomous control terminal by taking classes as units, resources in a controlled range can be clustered by adopting a clustering algorithm, lower-level resources are analyzed and decided in real time through the strategy module, and the lower-level resources are managed in a centralized mode and are controlled in a coordinated mode. 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 in a clustering charge. Because the equipment under the same cluster has certain similarity with power supply, information acquisition and equipment regulation and control can be efficiently carried out based on the similarity. Of course, the scheme of the present invention is not limited to the above category division, and may further perform a dismantling division, such as a division of a smart meter, a smart appliance, an electric vehicle, a photovoltaic power generation, a wind power generation, etc., which is theoretically within the protection scope of the scheme of the present invention as long as there is a corresponding clustering division.
The aggregation cooperative apparatus takes a certain parcel as a unit and is responsible for all autonomous control terminals in a parcel, for example, takes a station area as a unit. On one hand, the method is used for synchronizing information transmitted by all autonomous control terminals within effective time, simultaneously uploading operation information and states of all equipment to a central cloud for real-time monitoring, and issuing a regulation and control instruction to the autonomous control terminals below according to regulation and control requirements. And on the other hand, the system serves as an edge cloud and performs centralized management and cooperative regulation and control on autonomous control terminals governed by the edge cloud.
The central cloud is the highest decision unit, synchronizes information of the lower aggregation cooperative devices, performs centralized management and regulation on the information, coordinates safe and stable operation and reasonable and ordered power utilization of resources such as distributed resources, flexible loads, power utilization users and the like in the jurisdiction range of the central cloud, and realizes specific regulation and control tasks by means of data storage and data analysis and processing in combination with a certain cloud computing method according to specific requirements and targets of the power distribution network. Preferably, the types of modulation include: coordination control, intelligent operation and maintenance, peak clipping and valley filling, energy dynamic balance and information distribution interaction.
Preferably, in the tree network connection relationship, a mutual communication relationship exists between peer nodes.
In the embodiment of the present invention, since the autonomous control terminal and the aggregation cooperative device both have a certain edge calculation capability, if the regulation and control scheme is determined based on the resource information in the current parcel, incomplete consideration is inevitably caused. Because the power grid connection is not an isolated island which is responsible for each device, but has an intercommunicated connection relationship, the self regulation and control capability of a certain autonomous control terminal or the assisted regulation and control capability of an aggregation cooperative device are far from being realized only by depending on the resource information in the corresponding responsible area. In order to enable regulation and control to be effective, all responsible regions are required to share resources, and overall regulation and control instruction generation is carried out based on the power supply characteristics of the power grid. And just in order to perform the compromise resource sharing, the peer nodes have a mutual communication relationship. That is, 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 a mutual communication relationship.
Preferably, all communications between cross-level nodes and peer-level nodes are wireless communications, and the communication rules at least include: any one of wireless public network, carrier wave and optical fiber.
Preferably, each self-control terminal is correspondingly responsible for a grid-connected cluster.
Preferably, the grid-connected clustering includes: at least one of distributed resources, flexible loads, and electricity consumers.
Preferably, the resource information of each grid-connected cluster includes: and corresponding to at least one of the electrical quantity information, the temperature information, the energy efficiency ratio information, the cold/heat power information, the system frequency information and the electricity utilization/sharing characteristic information of each device under the clustering.
In the embodiment of the invention, the clustering of the autonomous control terminal is mainly homogeneous clustering, wherein homogeneity refers to the same resource of the acquired data type, and the method mainly aims to extract the same homogeneous resource with the same power consumption characteristic and power generation characteristic or participating in 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 uniform characteristic analysis and the hierarchical regulation and control of the same resource 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 electrical appliance autonomous control terminal only collects electrical appliance information, wherein the electrical appliance information refers to temperature control loads such as an air conditioner, a water heater, a refrigerator and the like, and the specific information includes electric power, cold power, thermal 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 the charge state, the charge and discharge power, the charge and discharge efficiency, the charge and discharge state and the like.
4) The distributed resource autonomous control terminal only collects relevant information of resources such as photovoltaic power generation, wind power generation and combined cooling, heating and power supply, such as active power, reactive power, cold power, thermal power and the like.
Preferably, the self-control terminal is further configured to generate a self-control three-level regulation and control instruction according to the resource information of the corresponding grid-connected cluster.
In the embodiment of the invention, the self-control terminal has certain self-control capability, the self-control capability is far smaller than the centralized control capability of the central cloud at present, but the self-control capability is enough to be realized based on conventional adjustment, and the control response timeliness can be greatly met because the steps of information reporting and waiting scheme generation are omitted.
Preferably, the priority of the third-level regulating instruction is greater than that of the second-level regulating instruction, and the priority of the second-level regulating instruction is greater than that of the first-level regulating instruction.
In the embodiment of the invention, when the three-level regulation instruction is enough to realize self-regulation of the self-made control terminal, in order to reduce time delay, the self-generated three-level regulation instruction can be directly executed, and the subsequent two-level regulation instruction generation step and the first-level regulation instruction generation step are cancelled. Correspondingly, when the secondary regulation and control instruction meets the requirement, the generation step of the primary regulation and control instruction can be cancelled. Therefore, when the regulation and control instruction meets the requirement, the priority of the third-level regulation and control instruction is higher than that of the second-level regulation and control instruction, and the priority of the second-level regulation and control instruction is higher than that of the first-level regulation and control instruction.
In another possible implementation, the aggregation cooperative device has the making functions of an aggregation strategy and a contract cooperative strategy at the same time, the aggregation strategy module is used for integrating various types of information of a lower terminal, the aggregation strategy is made with the goal of optimal cost and environmental protection priority, the self-satisfaction of the peak clipping and valley filling tasks of the device is realized, when the task requirements cannot be met through the aggregation strategy, the device is communicated with the adjacent device through the contract cooperative strategy and cooperatively completes the task requirements in the form of contracts, for example, when the device is less than the appointed capacity or the appointed times, the device is made and contracts with the adjacent device, the adjacent device completes the unfinished part of the device, and the device pays certain economic settlement. In other words, in addition to negotiating with other aggregation cooperative devices to generate the regulation and control instruction, other aggregation cooperative devices can be selected to execute in the regulation and control instruction execution step, thereby improving the overall flexibility of the system.
Fig. 2 is a flowchart of a method for cooperatively managing and controlling a cloud edge of a power distribution network according to an embodiment of the present invention. As shown in fig. 2, an embodiment of the present invention provides a method for collaborative management and control by a cloud edge, where the method includes:
step S10: responding to the regulation and control requirements of the user, the central cloud issues corresponding regulation and control starting instructions to all connected aggregation cooperative devices, and the corresponding regulation and control starting instructions are forwarded to all correspondingly connected autonomous control terminals by the aggregation cooperative devices.
Step S20: responding to the regulation starting instruction, the autonomous control terminal acquires resource information corresponding to the grid-connected cluster, negotiates with other autonomous control terminals to generate a self-regulated three-level regulation instruction, directly executes the three-level regulation instruction when the three-level regulation instruction meets expectations, and otherwise, jumps to the step S30.
Step S30: uploading the acquired resource information to a correspondingly connected aggregation cooperative device, and negotiating with other aggregation cooperative devices to generate a secondary regulation instruction, wherein the aggregation cooperative device is used for synchronously connecting the resource information uploaded by all autonomous control terminals; 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 continuously send resource information to the center clouds which are correspondingly connected, the resource information sent by all the aggregation cooperative devices which are synchronously connected with the center clouds is generated into corresponding first-level regulation and control instructions, the first-level regulation and control instructions are gradually forwarded to the corresponding self-control terminals, and the self-control terminals execute the first-level regulation and control instructions.
Example (b):
the peak clipping and valley filling is used as a type of demand response, and is a mode that distributed resources participate in stable, reliable and optimized operation of a distribution network, so that a peak clipping and valley filling task is taken as an example and is described as a specific case of a power distribution network cloud edge terminal cooperative control method.
The autonomous control terminal receives a peak clipping and valley filling instruction of a superior aggregation cooperative device, based on the intra-class self-organization strategy module, combines all controllers to synthesize state information, electrical information, environmental information, price information such as electricity price and gas price and the like of all kinds of resources, formulates an intra-class peak clipping and valley filling resource regulation and control strategy, regulates and controls the load, power, frequency, state and the like of all kinds of distributed resources, and achieves the plug-and-play intra-class peak clipping and valley filling self-organization of load orderly regulation and transfer and distributed energy with the maximum targets of economic optimization and distributed energy consumption. When the device is less than the appointed capacity or the appointed time length, the device establishes a contract with the adjacent terminal, the adjacent terminal finishes the unfinished part of the terminal, and the terminal pays certain economic settlement.
As shown in fig. 3, the specific implementation process is as follows:
step 1: and the aggregation cooperative device issues the peak clipping and valley filling instructions to each autonomous control terminal according to data indexes such as adjustable capacity, adjustable times, adjustable period and the like reported by each autonomous control terminal before.
Step 2: after receiving a superior peak clipping and valley filling instruction, the autonomous control terminal formulates an intra-class self-organization strategy, judges whether a peak clipping and valley filling task of the terminal can be met according to the strategy, executes a command if the peak clipping and valley filling task can be met, and reports the command to a superior aggregation cooperative device; if not, communicating with an adjacent autonomous control terminal to formulate a contract response strategy; and if the peak clipping and valley filling tasks of the respective control terminals cannot be satisfied, reporting the peak clipping and valley filling tasks to the aggregation cooperative device, and formulating an aggregation strategy through the aggregation cooperative device.
And step 3: through the aggregation strategy of the aggregation cooperative devices, if the peak clipping and valley filling tasks can be met, executing a command and reporting the command to a superior center cloud, otherwise, communicating with the adjacent aggregation cooperative devices to formulate a contract response strategy; if the peak load is still not met, reporting the peak load to the central cloud, implementing the peak load shifting task of each aggregation cooperative device and even the power distribution network by using the cloud computing method of the central cloud, and executing the peak load shifting instruction.
The embodiment of the present invention further provides a computer-readable storage medium, where the computer-readable storage medium stores instructions, and when the instructions are executed on a computer, the computer is enabled to execute the power distribution network cloud side collaborative management and control method.
Those skilled in the art will appreciate that all or part of the steps in the method for implementing the above embodiments may be implemented by a program, which is stored in a storage medium and includes several instructions to enable a single chip, a chip, or a processor (processor) to execute all or part of the steps in the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
While the embodiments of the present invention have been described in detail with reference to the accompanying drawings, the embodiments of the present invention are not limited to the details of the above embodiments, and various simple modifications can be made to the technical solution of the embodiments of the present invention within the technical idea of the embodiments of the present invention, and the simple modifications are within the protective scope of the embodiments of the present invention. It should be noted that the various features described in the foregoing embodiments may be combined in any suitable manner without contradiction. In order to avoid unnecessary repetition, the embodiments of the present invention will not be described separately for the various possible combinations.
In addition, any combination of the various embodiments of the present invention is also possible, and the same should be considered as disclosed in the embodiments of the present invention as long as it does not depart from the spirit of the embodiments of the present invention.
Claims (14)
1. The utility model provides a management and control system is in coordination with distribution network cloud limit, its 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-stage 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 acquiring resource information of each grid-connected cluster in the corresponding parcel, and performing 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 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 resource information uploaded by all the connected aggregation cooperative devices, and generating and gradually issuing corresponding first-level regulation and control instructions to all the connected autonomous control terminals;
the secondary regulation and control instruction and the primary regulation and control instruction are generated based on corresponding resource information.
2. The system of claim 1, wherein peer nodes within the tree are in communication with each other.
3. The system of claim 2, wherein all communication between nodes across levels and between nodes at the same level is wireless communication, and the communication rules between nodes across levels and between nodes at the same level at least comprise: any one of wireless public network, carrier wave and optical fiber.
4. The system of claim 1, wherein each home-made control terminal is responsible for a grid-connected clustering.
5. The system of claim 4, wherein the grid-tied clustering comprises:
at least one of distributed resources, flexible loads, and electricity consumers.
6. The system of claim 1, wherein the resource information for grid-tied clustering comprises:
and corresponding to at least one of the electrical quantity information, the temperature information, the energy efficiency ratio information, the cold/heat power information, the system frequency information and the power utilization/supply characteristic information of each device under the clustering.
7. The system of claim 1, wherein the home-made control terminal is further configured to generate a self-regulated tertiary regulation instruction according to resource information of the corresponding grid-connected cluster.
8. The system of claim 7, wherein the tertiary control instructions have a higher priority than the secondary control instructions and the secondary control instructions have a higher priority than the primary control instructions on the premise that the control instructions meet expectations.
9. The system of claim 1, wherein the regulation types of grid-tied clustering regulation comprise:
coordination control, intelligent operation and maintenance, peak clipping and valley filling, energy dynamic balance and information distribution interaction.
10. A power distribution network cloud edge terminal collaborative control method is characterized by comprising the following steps:
responding to the regulation and control requirements of users, the central cloud issues corresponding regulation and control starting instructions to all connected aggregation cooperative devices, and the corresponding regulation and control starting instructions are forwarded to all correspondingly connected autonomous control terminals by the aggregation cooperative devices;
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 a correspondingly connected aggregation cooperative device;
the aggregation cooperative device synchronizes resource information uploaded by all autonomous control terminals connected with the aggregation cooperative device 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 continues to upload resource information to the center cloud correspondingly connected;
the central cloud synchronizes the resource information uploaded by all the aggregation cooperative devices connected with the central cloud, and generates and issues corresponding primary regulation and control instructions to all the connected self-control terminals step by step;
and the self-made control terminal executes the primary regulation and control instruction.
11. The method according to claim 10, wherein the autonomous control terminal performs self-regulation, comprising:
responding to the regulation and control starting instruction, the autonomous control terminal acquires corresponding resource information of grid-connected clusters and negotiates 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.
12. The method of claim 11, wherein the tertiary control instructions have a higher priority than the secondary control instructions, and wherein the secondary control instructions have a higher priority than the primary control instructions.
13. The method of claim 11, wherein the rules for executing the tertiary, secondary, and primary regulatory instructions 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 third-level regulation instruction does not meet the expectation and the second-level regulation instruction meets the expectation, the autonomous control terminal directly executes the second-level regulation instruction;
and if the three-level regulation instruction and the second-level regulation instruction do not meet the expectation, the autonomous control terminal executes the first-level regulation instruction.
14. A computer-readable storage medium storing instructions thereon, which when executed on a computer, cause the computer to execute the cloud-side collaborative management and control method for the power distribution network according to claims 10 to 13.
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