CN116960964A - Cluster source-load cooperative control method, device and equipment - Google Patents
Cluster source-load cooperative control method, device and equipment Download PDFInfo
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
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Abstract
The invention discloses a cluster source-load cooperative control method, device and equipment. The method comprises the following steps: acquiring node power information corresponding to each intelligent node in a target cluster; aiming at each intelligent node, determining the node allowance power corresponding to the intelligent node according to the node power information; determining cluster allowance power corresponding to the target cluster at the next moment based on the node allowance power; and determining the power to be provided corresponding to each intelligent node in the target cluster based on the cluster allowance power and the target load power to be recovered, so that the target load to be recovered corresponding to the target load power to be recovered is recovered to operate, thereby meeting the power supply requirement of the load to be recovered and improving the reliability and flexibility of load recovery.
Description
Technical Field
The present invention relates to the field of source load control technologies, and in particular, to a method, an apparatus, and a device for controlling a cluster source load cooperatively.
Background
The traditional emergency load control recovery adopts a main substation architecture, the main station synthesizes information sent by all substations, calculates the load quantity which should be cut off by all distribution network units according to the load importance degree, and then sends the load quantity to the substations. Mainly adopts a centralized mode, a centralized control center arranges the supply of electric energy to restore the load power supply, and other power supply modes are arranged when the power supply cannot supply the electric energy according to the nearby principle. The traditional emergency load control recovery method has the defects of long load recovery time, inflexibility, unreliability and the like.
Disclosure of Invention
The invention provides a cluster source load cooperative control method, device and equipment, which are used for meeting the power supply requirement of a load to be recovered and improving the reliability and flexibility of load recovery.
According to one aspect of the invention, a cluster source load cooperative control method is provided. The method comprises the following steps: acquiring node power information corresponding to each intelligent node in a target cluster, wherein the target cluster comprises at least one intelligent node; aiming at each intelligent node, determining the node allowance power corresponding to the intelligent node according to the node power information; determining cluster allowance power corresponding to the target cluster at the next moment based on the node allowance power; and determining the power to be provided corresponding to each intelligent node in the target cluster based on the cluster allowance power and the target load power to be recovered, so that the target load to be recovered corresponding to the target load power to be recovered is recovered to operate.
According to another aspect of the invention, a cluster source load cooperative control device is provided. The device comprises:
the node power information acquisition module is used for acquiring node power information corresponding to each intelligent node in a target cluster, wherein the target cluster comprises at least one intelligent node;
The node surplus power determining module is used for determining node surplus power corresponding to each intelligent node according to the node power information;
the cluster surplus power determining module is used for determining cluster surplus power corresponding to the target cluster at the next moment based on the node surplus power;
and the power generation power to be provided determining module is used for determining power generation power to be provided corresponding to each intelligent node in the target cluster based on the cluster allowance power and the target load power to be recovered, so that the target load to be recovered corresponding to the target load power to be recovered is recovered to operate.
According to another aspect of the present invention, there is provided an electronic apparatus including:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,,
the memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor, so that the at least one processor can execute the cluster source load cooperative control method according to any embodiment of the present invention.
According to the technical scheme, node power information corresponding to each intelligent node in the target cluster is obtained; aiming at each intelligent node, determining the node allowance power corresponding to the intelligent node according to the node power information; determining cluster allowance power corresponding to the target cluster at the next moment based on the node allowance power; and determining the power to be provided corresponding to each intelligent node in the target cluster based on the cluster allowance power and the target load power to be recovered, so that the target load to be recovered corresponding to the target load power to be recovered is recovered to operate, the problem of large power distribution error caused by different power supply capacities is solved, the power supply requirement of the load to be recovered is met to the greatest extent, and the reliability and the flexibility of load recovery are improved.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the invention or to delineate the scope of the invention. Other features of the present invention will become apparent from the description that follows.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of a cluster source load cooperative control method according to a first embodiment of the present invention;
fig. 2 is a flowchart of a cluster source load cooperative control method according to a second embodiment of the present invention;
fig. 3 is a block diagram of a cluster source load cooperative control device according to a third embodiment of the present invention;
fig. 4 is a schematic structural diagram of an electronic device implementing a cluster source load cooperative control method according to an embodiment of the present invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example 1
Fig. 1 is a flowchart of a method for cooperatively controlling a cluster source load according to an embodiment of the present invention, where the method may be performed by a cluster source load cooperative control device, and the cluster source load cooperative control device may be implemented in a hardware and/or software form, and the cluster source load cooperative control device may be configured in an electronic device. As shown in fig. 1, the method includes:
S101, acquiring node power information corresponding to each intelligent node in a target cluster.
It should be noted that the intelligent node may refer to a small hydropower agent in an area. The intelligent body realizes internal source-load balance by respectively carrying out output control, load recovery control and the like on distributed power sources and loads in the regional small hydropower station clusters. The target cluster may refer to a cluster of intelligent nodes in the micro-grid. The target cluster at least comprises one intelligent node. The node power information may refer to various power information corresponding to the intelligent node. The node power information may include maximum output power and power required by the load.
S102, aiming at each intelligent node, determining the node allowance power corresponding to the intelligent node according to the node power information.
The node margin power may refer to remaining power information of the intelligent node.
Specifically, for each intelligent node, calculating the node residual power corresponding to the intelligent node according to the node power information of the intelligent node.
Optionally, the node power information includes a maximum output power and a load required power; the determining the node allowance power corresponding to the intelligent node according to the node power information comprises the following steps:
Analyzing the node power information to obtain the maximum output power and the power required by the load; and determining the node allowance power corresponding to the intelligent node according to the maximum output power and the power required by the load.
Specifically, the obtained node power information is subjected to analysis processing, so that the maximum output power and the power required by the load can be obtained. And calculating a power difference value between the maximum output power and the power required by the load, and further determining the node residual power corresponding to the intelligent node.
For example, the node margin power of each intelligent node may be calculated from the maximum output power and the load required power in the respective network:
wherein P is r (t) node margin powers of the intelligent nodes i respectively; m is M i Is the set of the ith intelligent node; p (P) G Maximum output power of the kth small hydropower station serving as the ith intelligent node; p (P) L (t) is the power required by the kth load of the ith intelligent node.
S103, determining cluster surplus power corresponding to the target cluster at the next moment based on the node surplus power.
The cluster margin power may refer to remaining power information of the target cluster.
Specifically, the technical scheme of the invention can calculate the node residual power corresponding to the next moment according to the current node residual power of all intelligent nodes, and perform summation calculation, so that the cluster residual power corresponding to the target cluster at the next moment can be determined.
And S104, determining the power to be provided corresponding to each intelligent node in the target cluster based on the cluster allowance power and the target load power to be recovered, so that the target load to be recovered corresponding to the target load power to be recovered is recovered to operate.
It should be explained that the target load power to be restored is a predetermined load power corresponding to the load to be restored. Specifically, according to a specific size relation between the cluster allowance power and the target load power to be recovered, the power to be provided, corresponding to each intelligent node in the target cluster, is adjusted so that the target load to be recovered, corresponding to the target load power to be recovered, is recovered to operate. In addition, the technical scheme of the invention can further determine the power to be provided corresponding to each small hydropower generation according to the power to be provided corresponding to the intelligent node and the ratio of the power to be provided of each small hydropower generation in the intelligent node.
The determining the generated power to be provided corresponding to each intelligent node in the target cluster is realized by the following way:
wherein P is ui To provide power generation power for intelligent node, P need To target load power to be recovered, P ave,tot For the cluster margin power, P resi Power is reserved for the node.
Optionally, before the obtaining the node power information corresponding to each intelligent node in the target cluster, the method further includes:
aiming at each load to be recovered in each intelligent node, acquiring a basic power failure loss and a load power failure index corresponding to the load to be recovered; determining the comprehensive power failure loss corresponding to the load to be recovered according to the basic power failure loss and the load power failure index; the comprehensive power outage losses corresponding to all the loads to be recovered in the target cluster are ordered in a descending order, and a comprehensive power outage loss sequence is obtained; and determining the load to be recovered corresponding to the maximum comprehensive power outage loss in the comprehensive power outage loss sequence as a target load to be recovered, and determining the target load power to be recovered corresponding to the target load to be recovered.
It should be noted that, the load types in the micro-grid are numerous, and when the emergency resource is limited, there may be a situation that part of the power loss load cannot restore the power supply. Therefore, the priority order of the loads in recovering the power supply needs to be judged according to the importance of different loads. Specifically, for each load to be recovered in each intelligent node, a basic power outage loss and a load power loss index corresponding to the load to be recovered are required to be determined, and then a comprehensive power outage loss corresponding to the load to be recovered is determined according to the basic power outage loss and the load power loss index. And sequencing the comprehensive power outage losses corresponding to all the loads to be recovered in the target cluster in a descending order to obtain the priority recovery sequence of each load to be recovered, namely the comprehensive power outage loss sequence. And determining the load to be recovered corresponding to the comprehensive power outage loss with the largest priority in the comprehensive power outage loss sequence as a target load to be recovered, and determining the target load power to be recovered corresponding to the target load to be recovered.
Illustratively, the load loss indicator may include a life safety indicator, an economic benefit indicator, and a specificity indicator. Secondly, the comprehensive power failure loss corresponding to the load to be recovered, namely the recovery priority of the load to be recovered is an abstract subjective concept, and a related mathematical model is required to be established for characterization, wherein the specific model is as follows:
C i ＝c i *(w 1 α i +w 2 β i +w 3 γ i )
wherein Ci is the comprehensive power failure loss of the load i to be recovered; c i The basic power failure loss of the load i to be recovered in unit time (generally obtained through user investigation and statistics); alpha i 、β i 、γ i The method is characterized in that the load i to be recovered is powered down to a life safety index, an economic benefit index and a specificity index, the range of the value is 1-5, and the larger the value is, the larger the related loss caused by the power failure of the load is. For example, the economic loss of load of a clothing processing factory is extremely large after power failure, and beta is that i 5, taking out; while units such as hospitals, fire protection and the like have great influence on life safety if power is lost, the alpha of the electric power is i 5, taking out; such as military factories, gamma i 5 may be taken. w (w) 1 、w 2 、w 3 The weight values of the three aspects of the life safety index, the economic benefit index and the special index in the load importance evaluation are respectively, and w 1 +w 2 +w 3 ＝1。
Further, when the comprehensive power outage loss of a plurality of loads to be recovered is equal, the priority of the side with larger load is determined to be higher when the load importance comparison is carried out in order to fully utilize the power supply potential, meanwhile, the number is given to all loads to be recovered in order to achieve the function of distinguishing, and when other conditions are equal, the priority of the side with the front load number is determined to be higher.
Optionally, before determining the power to be provided corresponding to each intelligent node in the target cluster based on the cluster margin power and the target load power to be recovered, the method includes:
comparing the cluster residual power with the target load power to be recovered, and determining power to be provided corresponding to each intelligent node in a target cluster under the condition that the cluster residual power is greater than or equal to the target load power to be recovered; and under the condition that the cluster residual power is smaller than the target load power to be recovered, re-determining the target load power to be recovered based on the comprehensive power failure loss sequence, and comparing the cluster residual power with the re-determined target load power to be recovered.
Specifically, before determining the power to be provided corresponding to each intelligent node in the target cluster, whether the cluster allowance power can meet the target load power to be recovered is also considered, and the target load to be recovered can be recovered to operate under the condition that the cluster allowance power can be met. And under the condition that the cluster allowance power is larger than or equal to the target load power to be recovered, indicating that the target cluster can enable the target load to be recovered to recover operation at present, and determining the power to be provided corresponding to each intelligent node in the target cluster. And under the condition that the cluster surplus power is smaller than the target load power to be recovered, indicating that the current cluster surplus power of the target cluster cannot enable the target load to be recovered to recover operation, and replacing the target load to be recovered, specifically, selecting the next load to be recovered of the current target load to be recovered as the target load power to be recovered through the comprehensive power failure loss sequence, and comparing the cluster surplus power with the redetermined target load power to be recovered until the target cluster can enable the target load to be recovered to operate.
According to the technical scheme, node power information corresponding to each intelligent node in the target cluster is obtained; aiming at each intelligent node, determining the node allowance power corresponding to the intelligent node according to the node power information; determining cluster allowance power corresponding to the target cluster at the next moment based on the node allowance power; and determining the power to be provided corresponding to each intelligent node in the target cluster based on the cluster allowance power and the target load power to be recovered, so that the target load to be recovered corresponding to the target load power to be recovered is recovered to operate, the problem of large power distribution error caused by different power supply capacities is solved, the power supply requirement of the load to be recovered is met to the greatest extent, and the reliability and the flexibility of load recovery are improved.
On the basis of the above embodiments, the node residual power includes active power and reactive power; the cluster residual power comprises cluster active residual power and cluster reactive residual power; the target load power to be recovered comprises target active load power to be recovered and target reactive load power to be recovered; the determining the power to be provided corresponding to each intelligent node in the target cluster based on the cluster margin power and the target load power to be recovered comprises the following steps: determining the active power to be provided corresponding to each intelligent node in the target cluster based on the active margin power of the cluster and the active load power to be restored; and determining reactive power generation power to be provided corresponding to each intelligent node in the target cluster based on the cluster reactive power margin and the target reactive load power to be recovered.
The invention can refine the node residual power into active power and reactive power. And refining the cluster residual power into cluster active residual power and cluster reactive residual power. And refining the target load power to be recovered into the target active load power to be recovered and the target reactive load power to be recovered. And the active power and the reactive power can be distinguished, and the power generation type corresponding to each intelligent node in the target cluster is determined according to the load type to be recovered of the target load to be recovered. Specifically, when the load type to be recovered of the target load to be recovered is active power, determining active power to be provided corresponding to each intelligent node in the target cluster according to the active margin power of the cluster and the active load power to be recovered. When the load type to be recovered of the target load to be recovered is reactive power, determining reactive power to be provided corresponding to each intelligent node in the target cluster according to the reactive residual power of the cluster and the reactive load power to be recovered.
Illustratively, when the node margin power is refined into active power and reactive power, the active power and reactive power may be obtained by:
Wherein P is resi (t)、Q resi (t) active power and reactive power allowance of the intelligent node i respectively; mi is the set of the ith intelligent node; p (P) GAk Maximum output active power of the kth small hydropower for the ith load to be recovered; p (P) LAk (t) the active power required by the kth load of the ith load to be recovered; q (Q) GAk Maximum output reactive power of the kth small hydropower station in the ith load to be recovered; q (Q) LAk (t) is the reactive power required by the kth load of the ith load to be recovered.
Example two
Fig. 2 is a flowchart of a cluster source load cooperative control method according to a second embodiment of the present invention, where, based on the foregoing embodiments, the cluster residual power corresponding to the target cluster at the next moment is determined to be further refined. As shown in fig. 2, the method includes:
s201, acquiring node power information corresponding to each intelligent node in a target cluster, wherein the target cluster comprises at least one intelligent node;
s202, aiming at each intelligent node, determining the node allowance power corresponding to the intelligent node according to the node power information;
s203, determining feedback gain corresponding to each intelligent node and difference gain between the feedback gain and other intelligent nodes according to each intelligent node.
Specifically, for each intelligent node, determining the feedback gain corresponding to the intelligent node and the difference gain between the intelligent node and other intelligent nodes through node power information, weights and formulas for calculating the feedback gain of the intelligent node.
S204, based on a consistency algorithm, determining the cluster surplus power corresponding to the target cluster at the next moment according to the feedback gain, the difference gain, the node surplus power and the determined Laplacian matrix.
Specifically, according to a formula corresponding to a consistency algorithm, substituting a feedback gain, the difference gain, the node residual power and the determined Laplacian matrix to determine the corresponding cluster residual power of the target cluster at the next moment.
Optionally, the determining, based on the consistency algorithm, the cluster margin power corresponding to the target cluster at the next moment according to the feedback gain, the difference gain, the node margin power and the determined laplace matrix includes:
substituting the feedback gain, the difference gain, the node residual power and the Laplace matrix into the consistency algorithm formula to perform operation processing, so as to obtain the predicted node residual power corresponding to the intelligent node at the next moment; based on an iterative optimization algorithm, carrying out convergence processing on the residual power of the prediction nodes corresponding to all the intelligent nodes to obtain a residual power average value corresponding to each intelligent node at the next moment; and determining the cluster allowance power corresponding to the target cluster at the next moment according to the allowance power average value and the node number of the intelligent nodes.
Specifically, the predicted node residual power corresponding to the intelligent node at the next moment is obtained by the following method:
wherein k is 1i Representing the feedback gain, k, of the intelligent node i 2f Representing the difference gain of the intelligent node i and the neighbor intelligent node j; p (P) resi (k) Node margin power, P, for the kth time region i resi (k+1) is the cluster margin power of the k+1th moment region i; l (L) ij Obtained from the laplace matrix L of all intelligent nodes.
Through the calculation, the residual power P of the predicted node is calculated based on an iterative optimization algorithm resi (k+1) final convergence to the margin power average value P ave Representing the average power headroom value for each intelligent node. And determining the cluster surplus power corresponding to the target cluster at the next moment according to the surplus power average value and the node number of the intelligent nodes.
P ave，tot ＝nP ave
Wherein P is ave，tot For the cluster allowance power, n is the number of nodes, P ave Is the average value of the residual power.
Optionally, the determining manner of the laplace matrix includes: determining an adjacency matrix and an incoming degree matrix corresponding to the intelligent node; and determining the Laplace matrix according to the adjacency matrix and the incoupling matrix.
In the technical scheme of the invention, in a multi-intelligent node system, the communication topological structure among intelligent nodes is represented by a directed graph G (A, D). A is an adjacency matrix, and D is an incorrectness matrix. Defining adjacency matrix a= (a) ij ) n×n To describe the relationship between the intelligent nodes. Wherein: n represents the number of nodes; a, a ij The connection relationship between the intelligent node i and the adjacent intelligent node j is represented. A when the intelligent node i can acquire the state information of the intelligent node j ij =1; when the intelligent node i cannot acquire the information of the intelligent node j, or when i=j, a ij =0. Definition d=diag (D) ii ) n×n Is the degree matrix of graph G. Wherein: d, d ii ＝∑ i≠j a ij . Then, the graph G laplace matrix represents l=d-a.
S205, determining power generation power to be provided corresponding to each intelligent node in the target cluster based on the cluster allowance power and the target load power to be recovered, so that the target load to be recovered corresponding to the target load power to be recovered is recovered to operate.
According to the technical scheme, the target clusters are cooperatively controlled, so that the local intelligent nodes and the adjacent intelligent nodes perform information interaction, the power distribution, the load recovery sequence and the like of the distributed power supply are further determined by using a consistency calculation method, the reasonable distribution of the power in the load recovery process is ensured, the potential of the distributed power supply is fully utilized, the power supply requirement of important loads is met to the greatest extent, and the power failure time is shortened.
Example III
Fig. 3 is a schematic structural diagram of a cluster source-load cooperative control device according to a third embodiment of the present invention. As shown in fig. 3, the apparatus includes: a node power information acquisition module 301, a node margin power determination module 302, a cluster margin power determination module 303, and a power generation power to be provided determination module 304. Wherein,,
The node power information obtaining module 301 is configured to obtain node power information corresponding to each intelligent node in a target cluster, where the target cluster includes at least one intelligent node;
a node surplus power determining module 302, configured to determine, for each of the intelligent nodes, a node surplus power corresponding to the intelligent node according to the node power information;
a cluster surplus power determining module 303, configured to determine, based on the node surplus power, a cluster surplus power corresponding to the target cluster at a next moment;
and the power generation power to be provided determining module 304 is configured to determine power generation power to be provided corresponding to each intelligent node in the target cluster based on the cluster margin power and the target load power to be restored, so as to restore operation of the target load to be restored corresponding to the target load power to be restored.
According to the technical scheme, node power information corresponding to each intelligent node in the target cluster is obtained; aiming at each intelligent node, determining the node allowance power corresponding to the intelligent node according to the node power information; determining cluster allowance power corresponding to the target cluster at the next moment based on the node allowance power; and determining the power to be provided corresponding to each intelligent node in the target cluster based on the cluster allowance power and the target load power to be recovered, so that the target load to be recovered corresponding to the target load power to be recovered is recovered to operate, the problem of large power distribution error caused by different power supply capacities is solved, the power supply requirement of the load to be recovered is met to the greatest extent, and the reliability and the flexibility of load recovery are improved.
Optionally, the node power information includes a maximum output power and a load required power; the node margin power determining module 302 is specifically configured to:
analyzing the node power information to obtain the maximum output power and the power required by the load;
and determining the node allowance power corresponding to the intelligent node according to the maximum output power and the power required by the load.
Optionally, the apparatus further comprises:
the load power to be recovered determining module is used for obtaining basic power failure loss and load power failure indexes corresponding to the load to be recovered aiming at each load to be recovered in each intelligent node; determining the comprehensive power failure loss corresponding to the load to be recovered according to the basic power failure loss and the load power failure index; the comprehensive power outage losses corresponding to all the loads to be recovered in the target cluster are ordered in a descending order, and a comprehensive power outage loss sequence is obtained; and determining the load to be recovered corresponding to the maximum comprehensive power outage loss in the comprehensive power outage loss sequence as a target load to be recovered, and determining the target load power to be recovered corresponding to the target load to be recovered.
Optionally, the apparatus further comprises:
the power comparison module is used for: comparing the cluster residual power with the target load power to be recovered, and determining power to be provided corresponding to each intelligent node in a target cluster under the condition that the cluster residual power is greater than or equal to the target load power to be recovered; and under the condition that the cluster residual power is smaller than the target load power to be recovered, re-determining the target load power to be recovered based on the comprehensive power failure loss sequence, and comparing the cluster residual power with the re-determined target load power to be recovered.
Optionally, the cluster headroom power determination module 303 may include:
a gain determining unit, configured to determine, for each of the intelligent nodes, a feedback gain corresponding to the intelligent node, and a difference gain between the feedback gain and other intelligent nodes;
the cluster surplus power determining unit is used for determining the corresponding cluster surplus power of the target cluster at the next moment according to the feedback gain, the difference gain, the node surplus power and the determined Laplacian matrix based on a consistency algorithm.
Optionally, the cluster margin power determining unit is specifically configured to:
substituting the feedback gain, the difference gain, the node residual power and the Laplace matrix into the consistency algorithm formula to perform operation processing, so as to obtain the predicted node residual power corresponding to the intelligent node at the next moment;
based on an iterative optimization algorithm, carrying out convergence processing on the residual power of the prediction nodes corresponding to all the intelligent nodes to obtain a residual power average value corresponding to each intelligent node at the next moment;
and determining the cluster allowance power corresponding to the target cluster at the next moment according to the allowance power average value and the node number of the intelligent nodes.
Optionally, the cluster headroom power determination module 303 may further include:
a matrix determining unit configured to:
determining an adjacency matrix and an incoming degree matrix corresponding to the intelligent node;
and determining the Laplace matrix according to the adjacency matrix and the incoupling matrix.
Optionally, the node residual power includes active power and reactive power; the cluster residual power comprises cluster active residual power and cluster reactive residual power; the target load power to be recovered comprises target active load power to be recovered and target reactive load power to be recovered;
The generated power determining module 304 is to be provided, specifically for:
determining the active power to be provided corresponding to each intelligent node in the target cluster based on the active margin power of the cluster and the active load power to be restored;
and determining reactive power generation power to be provided corresponding to each intelligent node in the target cluster based on the cluster reactive power margin and the target reactive load power to be recovered.
The cluster source load cooperative control device provided by the embodiment of the invention can execute the cluster source load cooperative control method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.
Example IV
Fig. 4 shows a schematic diagram of the structure of an electronic device 10 that may be used to implement an embodiment of the invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. Electronic equipment may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 4, the electronic device 10 includes at least one processor 11, and a memory, such as a Read Only Memory (ROM) 12, a Random Access Memory (RAM) 13, etc., communicatively connected to the at least one processor 11, in which the memory stores a computer program executable by the at least one processor, and the processor 11 may perform various appropriate actions and processes according to the computer program stored in the Read Only Memory (ROM) 12 or the computer program loaded from the storage unit 18 into the Random Access Memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 may also be stored. The processor 11, the ROM 12 and the RAM 13 are connected to each other via a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.
Various components in the electronic device 10 are connected to the I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, etc.; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, an optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.
The processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, digital Signal Processors (DSPs), and any suitable processor, controller, microcontroller, etc. The processor 11 performs the various methods and processes described above, such as method cluster source load cooperative control.
In some embodiments, the method cluster source load cooperative control may be implemented as a computer program tangibly embodied on a computer-readable storage medium, such as the storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 10 via the ROM 12 and/or the communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more of the steps of the method cluster source load cooperative control described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the method cluster source load cooperative control in any other suitable manner (e.g., by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
A computer program for carrying out methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be implemented. The computer program may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) through which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.
The computing system may include clients and servers. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical hosts and VPS service are overcome.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present invention may be performed in parallel, sequentially, or in a different order, so long as the desired results of the technical solution of the present invention are achieved, and the present invention is not limited herein.
The above embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of the present invention.
Claims (10)
1. The cluster source load cooperative control method is characterized by comprising the following steps of:
acquiring node power information corresponding to each intelligent node in a target cluster, wherein the target cluster comprises at least one intelligent node;
aiming at each intelligent node, determining the node allowance power corresponding to the intelligent node according to the node power information;
determining cluster allowance power corresponding to the target cluster at the next moment based on the node allowance power;
And determining the power to be provided corresponding to each intelligent node in the target cluster based on the cluster allowance power and the target load power to be recovered, so that the target load to be recovered corresponding to the target load power to be recovered is recovered to operate.
2. The method of claim 1, wherein the node power information includes a maximum output power and a load required power; the determining the node allowance power corresponding to the intelligent node according to the node power information comprises the following steps:
analyzing the node power information to obtain the maximum output power and the power required by the load;
and determining the node allowance power corresponding to the intelligent node according to the maximum output power and the power required by the load.
3. The method of claim 1, further comprising, prior to the obtaining node power information corresponding to each intelligent node in the target cluster:
aiming at each load to be recovered in each intelligent node, acquiring a basic power failure loss and a load power failure index corresponding to the load to be recovered;
determining the comprehensive power failure loss corresponding to the load to be recovered according to the basic power failure loss and the load power failure index;
The comprehensive power outage losses corresponding to all the loads to be recovered in the target cluster are ordered in a descending order, and a comprehensive power outage loss sequence is obtained;
and determining the load to be recovered corresponding to the maximum comprehensive power outage loss in the comprehensive power outage loss sequence as a target load to be recovered, and determining the target load power to be recovered corresponding to the target load to be recovered.
4. A method according to claim 3, comprising, before said determining the power to be provided for each intelligent node in the target cluster based on the cluster margin power and the target load power to be restored:
comparing the cluster residual power with the target load power to be recovered, and determining power to be provided corresponding to each intelligent node in a target cluster under the condition that the cluster residual power is greater than or equal to the target load power to be recovered;
and under the condition that the cluster residual power is smaller than the target load power to be recovered, re-determining the target load power to be recovered based on the comprehensive power failure loss sequence, and comparing the cluster residual power with the re-determined target load power to be recovered.
5. The method of claim 1, wherein the determining, based on the node headroom power, a cluster headroom power corresponding to the target cluster at a next time instant comprises:
determining feedback gain corresponding to each intelligent node and difference gain between the feedback gain and other intelligent nodes;
and determining the cluster allowance power corresponding to the target cluster at the next moment according to the feedback gain, the difference gain, the node allowance power and the determined Laplacian matrix based on a consistency algorithm.
6. The method of claim 5, wherein the determining, based on a consistency algorithm, a cluster margin power corresponding to the target cluster at a next time according to the feedback gain, the difference gain, the node margin power, and the determined laplace matrix, comprises:
substituting the feedback gain, the difference gain, the node residual power and the Laplace matrix into the consistency algorithm formula to perform operation processing, so as to obtain the predicted node residual power corresponding to the intelligent node at the next moment;
Based on an iterative optimization algorithm, carrying out convergence processing on the residual power of the prediction nodes corresponding to all the intelligent nodes to obtain a residual power average value corresponding to each intelligent node at the next moment;
and determining the cluster allowance power corresponding to the target cluster at the next moment according to the allowance power average value and the node number of the intelligent nodes.
7. The method of claim 5, wherein the determining the laplacian matrix comprises:
determining an adjacency matrix and an incoming degree matrix corresponding to the intelligent node;
and determining the Laplace matrix according to the adjacency matrix and the incoupling matrix.
8. The method of claim 1, wherein the node margin power comprises active power and reactive power; the cluster residual power comprises cluster active residual power and cluster reactive residual power; the target load power to be recovered comprises target active load power to be recovered and target reactive load power to be recovered;
the determining the power to be provided corresponding to each intelligent node in the target cluster based on the cluster margin power and the target load power to be recovered comprises the following steps:
Determining the active power to be provided corresponding to each intelligent node in the target cluster based on the active margin power of the cluster and the active load power to be restored;
and determining reactive power generation power to be provided corresponding to each intelligent node in the target cluster based on the cluster reactive power margin and the target reactive load power to be recovered.
9. The cluster source load cooperative control device is characterized by comprising:
the node power information acquisition module is used for acquiring node power information corresponding to each intelligent node in a target cluster, wherein the target cluster comprises at least one intelligent node;
the node surplus power determining module is used for determining node surplus power corresponding to each intelligent node according to the node power information;
the cluster surplus power determining module is used for determining cluster surplus power corresponding to the target cluster at the next moment based on the node surplus power;
and the power generation power to be provided determining module is used for determining power generation power to be provided corresponding to each intelligent node in the target cluster based on the cluster allowance power and the target load power to be recovered, so that the target load to be recovered corresponding to the target load power to be recovered is recovered to operate.
10. An electronic device, the electronic device comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the cluster source load cooperative control method of any one of claims 1-7.
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