CN115833143A - Method and system for monitoring continuous power supply capacity of important load - Google Patents
Method and system for monitoring continuous power supply capacity of important load Download PDFInfo
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Abstract
The invention discloses a method and a system for monitoring the continuous power supply capacity of an important load, wherein the method comprises the following steps: acquiring electrical information of the power distribution network and comprehensive energy information of distributed resources based on an information acquisition terminal installed in the power distribution network; according to the electrical information and the comprehensive energy information, historical load information of a transformer of a power distribution station of the power distribution network, types of load equipment and positions of the power distribution network where the load equipment are located, and according to a pre-constructed load prediction model, corresponding predicted loads of various types of load equipment in a preset time period are determined; and determining whether the type of load equipment has the possibility of overload, and if so, carrying out load transfer on the load equipment with the possibility of overload. The method provided by the invention can monitor the load of the power distribution network, and can transfer the load under the condition that the load is possibly overloaded, so that the short-circuit fault of the direct current power supply network can be quickly judged and processed, and the operation reliability of the power grid equipment is improved.
Description
Technical Field
The invention relates to the technical field of power network monitoring, in particular to a method and a system for monitoring continuous power supply capacity of an important load.
Background
Direct current power supplies in power plants, substations, and the like supply power to control loads, power loads, emergency lighting loads, and the like. With the development of power systems, the degree of micromation and intelligence of load devices is higher and higher, the number of load devices is also obviously increased (the direct current devices of intelligent stations are about 1.6-1.8 times of those of conventional stations), and correspondingly, higher requirements are put on the reliable operation of direct current power supplies.
When the direct-current power supply network has hidden dangers such as poor matching of level differences, quality defects of the circuit breaker and the like, the situations of refusing the action, override tripping or multi-level combined tripping of the air circuit breaker and the like can occur when the direct-current power supply network has short-circuit faults. At present, the existing monitoring means cannot make timely judgment and treatment on the accidents, and usually waits for operation and maintenance personnel to go to a field for inspection, and then tries to send a direct current breaker or notifies technicians for treatment. Due to the fact that most transformer substations are unattended, fault distinguishing and processing time is prolonged, and operation reliability of power grid equipment is seriously affected.
Disclosure of Invention
This section is for the purpose of summarizing some aspects of embodiments of the invention and to briefly introduce some preferred embodiments. In this section, as well as in the abstract and the title of the invention of this application, simplifications or omissions may be made to avoid obscuring the purpose of the section, the abstract and the title, and such simplifications or omissions are not intended to limit the scope of the invention.
The present invention has been made in view of the above-mentioned conventional problems.
Therefore, the technical problem solved by the invention is as follows: the existing monitoring means can not make timely judgment and treatment on the accidents.
In order to solve the technical problems, the invention provides the following technical scheme: acquiring electrical information of the power distribution network and comprehensive energy information of distributed resources based on an information acquisition terminal installed in the power distribution network;
according to the electrical information and the comprehensive energy information, historical load information of a transformer of a power distribution station of the power distribution network, types of load equipment and positions of the power distribution network where the load equipment is located, and according to a pre-constructed load prediction model, corresponding predicted loads of various types of load equipment in a preset time period are determined;
and determining whether the type of load equipment has overload possibility according to the predicted load corresponding to the various types of load equipment and the load threshold corresponding to the type of load equipment, and if so, carrying out load transfer on the load equipment with the overload possibility.
As a preferred embodiment of the method for monitoring the continuous power supply capacity of the important load according to the present invention, wherein: the electrical information comprises at least one of network topology structure information and power generation information, and the comprehensive energy information comprises at least one of output information of the distributed power supply and energy storage capacity of the energy storage terminal;
the load prediction model is constructed on the basis of a neural network model and used for predicting the load of the load equipment in the future period of time.
As a preferred embodiment of the method for monitoring the continuous power supply capacity of the important load according to the present invention, wherein: the method comprises the steps of determining corresponding predicted loads of various types of load equipment in a preset time period through a pre-constructed load prediction model,
performing data preprocessing on a model training data set based on a pre-acquired model training data set, wherein the model training data set comprises the electrical information and the comprehensive energy information, and at least one of historical load information of a transformer of a power distribution station of the power distribution network, the type of load equipment and the position of the power distribution network where the load equipment is located, and the data preprocessing comprises at least one of data missing value supplement, repeated data deletion and data vectorization;
inputting a model training data set after data preprocessing into the load prediction model, and determining output values of all layers of the load prediction model;
and determining a prediction error and performing iterative correction on the prediction error according to the output values of the layers, the target function of the load prediction model, a preset weight correction function and a first correction weight and a second correction weight corresponding to the weight correction function until the prediction error meets a preset prediction condition, wherein the preset prediction condition comprises that the prediction error is lower than a preset prediction threshold.
As a preferred embodiment of the method for monitoring the continuous power supply capacity of the important load according to the present invention, wherein: the calculation of the iterative correction comprises that,
wherein Out (k) represents the kth prediction error, L represents the number of hidden layer nodes, P represents the number of output layer nodes, μ i Representing the weight value, delta, from the hidden layer to the output layer corresponding to the ith node of the hidden layer j Represents the output sequence corresponding to the jth output layer, m j 、n j Respectively representing a translation parameter and a stretching parameter, alpha, corresponding to the jth output layer i Represents a first correction weight, beta j Representing the second modified weight.
As a preferable scheme of the method for monitoring the continuous power supply capacity of the important load according to the present invention, wherein: the load threshold comprises a maximum load threshold and a maximum load frequency threshold;
if the possibility of overload of the type of load equipment is determined, carrying out load transfer on the load equipment with the possibility of overload;
if the predicted load corresponding to each type of load equipment is greater than the maximum load bearing value of the load, and the change frequency of the predicted load corresponding to each type of load equipment is greater than the maximum load frequency threshold of the load, determining the possibility of overload of the type of load equipment, and taking the load equipment with the possibility of overload as a first overload load equipment set, wherein the change frequency of the predicted load is the predicted value of the load at the current moment, and the ratio of the difference value between the predicted value of the load at the current moment and the predicted value of the load at the current moment;
determining power supply margins of the first overload load equipment set and the transformer according to historical load information of a transformer of a power distribution station of the power distribution network and the position of the power distribution network where the load equipment is located;
taking the load equipment of which the power supply margin corresponding to the first overload load equipment set exceeds a preset power supply threshold value as a second overload load equipment set;
and carrying out load transfer on the load equipment of the second overload load equipment set.
As a preferable scheme of the method for monitoring the continuous power supply capacity of the important load according to the present invention, wherein: comprises the steps of (a) preparing a substrate,
if the predicted load corresponding to the various types of load equipment is greater than the maximum load value of the load, setting a first alarm level for the overloaded load equipment;
if the change frequency of the predicted load corresponding to the various types of load equipment is greater than the maximum load frequency threshold value, setting a second alarm level for the overloaded load equipment;
if the power supply margin corresponding to the load equipment of the first overload load equipment set exceeds a preset power supply threshold value, setting a third alarm level for the overload load equipment;
the importance levels of the first alarm level, the second alarm level and the third alarm level are sequentially increased, and the treatment critical degree corresponding to the alarm levels is sequentially increased.
As a preferred embodiment of the method for monitoring the continuous power supply capacity of the important load according to the present invention, wherein: load shifting the load devices of the second set of overloaded load devices comprises,
determining the comprehensive power loss of the transformer and the load unbalance degree among the transformers in the position according to the position of the distribution network where the load equipment is located;
setting a particle swarm optimization algorithm as a target function of load transfer based on the comprehensive power loss and the load imbalance among the transformers, and setting a constraint condition corresponding to the target function;
and solving the objective function according to the constraint condition, and taking a solving result as a load transfer strategy, wherein the load transfer strategy comprises at least one of load transfer direction and load transfer quantity.
In a second aspect of the present invention, there is provided a monitoring system for continuous power supply capability of a load, including:
the system comprises a first unit and a second unit, wherein the first unit is used for acquiring electrical information of a power distribution network and comprehensive energy information of distributed resources based on an information acquisition terminal installed in the power distribution network, the electrical information comprises at least one of network topology structure information and power generation information, and the comprehensive energy information comprises at least one of output information of a distributed power supply and energy storage capacity of an energy storage terminal;
the second unit is used for determining corresponding predicted loads of various types of load equipment in a preset time period through a pre-constructed load prediction model according to the electrical information, the comprehensive energy information, historical load information of a transformer of a power distribution station of the power distribution network, types of the load equipment and the position of the power distribution network where the load equipment is located, wherein the load prediction model is constructed on the basis of a neural network model and is used for predicting the loads of the load equipment in a future time period;
and a third unit, configured to determine whether the type of load device has a possibility of overload according to the predicted load corresponding to the various types of load devices and a load threshold corresponding to the type of load device, and if so, perform load transfer on the load device having the possibility of overload.
In a third aspect of the invention, there is provided an apparatus comprising:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to invoke the instructions stored by the memory to perform the method of any embodiment of the invention.
In a fourth aspect of the invention, a computer-readable storage medium is provided, having computer program instructions stored thereon, wherein the computer program instructions, when executed by a processor, implement the method according to any of the embodiments of the invention.
The invention has the beneficial effects that: the method provided by the invention can monitor the load of the power distribution network, and can transfer the load under the condition that the load is possibly overloaded, so that the conditions of air circuit breaker refusal, override trip or multi-stage combined trip and the like during the short-circuit fault of the direct current power supply network can be quickly judged and processed, and the operation reliability of the power grid equipment is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise. Wherein:
fig. 1 is a basic flowchart of a method for monitoring continuous power supply capability of an important load according to an embodiment of the present invention.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present invention comprehensible, specific embodiments accompanied with figures are described in detail below, and it is apparent that the described embodiments are a part of the embodiments of the present invention, not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making creative efforts based on the embodiments of the present invention, shall fall within the protection scope of the present invention.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, but the present invention may be practiced in other ways than those specifically described and will be readily apparent to those of ordinary skill in the art without departing from the spirit of the present invention, and therefore the present invention is not limited to the specific embodiments disclosed below.
Furthermore, reference herein to "one embodiment" or "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one implementation of the invention. The appearances of the phrase "in one embodiment" in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments.
The present invention will be described in detail with reference to the drawings, wherein the cross-sectional views illustrating the structure of the device are not enlarged partially in general scale for convenience of illustration, and the drawings are only exemplary and should not be construed as limiting the scope of the present invention. In addition, the three-dimensional dimensions of length, width and depth should be included in the actual fabrication.
Meanwhile, in the description of the present invention, it should be noted that the terms "upper, lower, inner and outer" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, and are only for convenience of describing the present invention and simplifying the description, but do not indicate or imply that the referred device or element must have a specific orientation, be constructed in a specific orientation and operate, and thus, cannot be construed as limiting the present invention. Furthermore, the terms first, second, or third are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
The terms "mounted, connected and connected" in the present invention are to be understood broadly, unless otherwise explicitly specified or limited, for example: can be fixedly connected, detachably connected or integrally connected; they may be mechanically, electrically, or directly connected, or indirectly connected through intervening media, or may be interconnected between two elements. The specific meanings of the above terms in the present invention can be understood in specific cases to those skilled in the art.
Example 1
Referring to fig. 1, a method for monitoring continuous power supply capability of a critical load is provided as an embodiment of the present invention, including:
s101: the method comprises the steps that electric information of the power distribution network and comprehensive energy information of distributed resources are obtained based on an information acquisition terminal installed in the power distribution network. It should be noted that:
the electrical information comprises at least one of network topology structure information and power generation information, and the comprehensive energy information comprises at least one of output information of the distributed power supply and energy storage capacity of the energy storage terminal;
for example, the electrical information of the embodiment of the present disclosure may include at least one of network topology information and power generation information, the integrated energy information may include output information of a distributed power source, and energy storage capacity of an energy storage terminal, and the distributed power source may include wind energy, solar energy, and the like.
S102: and determining the corresponding predicted load of various types of load equipment in a preset time period through a pre-constructed load prediction model according to the electrical information, the comprehensive energy information, historical load information of a transformer of a power distribution station of the power distribution network, the type of the load equipment and the position of the power distribution network where the load equipment is located. It should be noted that:
the load prediction model is constructed on the basis of a neural network model and used for predicting the load of the load equipment in the future period of time.
Illustratively, historical load information of a transformer of the power distribution station can be used for indicating the highest value of load which can be carried by the transformer, so that the utilization efficiency is improved while the normal operation of the transformer is ensured; the load type condition mainly refers to that the main load types carried by the transformer are commercial office building regional load, residential load, cultural entertainment place load and the like.
The quantity of various high-power equipment and special equipment in each area is more and more, the electricity consumption in the central area of the city is increased day by day, and the peak power of the electricity consumption is gradually increased, so that the capacity of the transformer is increasingly tense; meanwhile, the unreasonable construction and later-stage reconstruction of the distribution networks in most cities lead to unbalanced load among the transformers, and the load carrying capacity of the whole distribution network is reduced. In order to relieve the conditions of overlarge peak power of the transformer and unbalanced load among the transformers, the dynamic transfer of the power load of the power distribution network among all regions of a city is an effective way; before load transfer, load prediction can be carried out, so that a corresponding transfer scheme can be provided in advance during load transfer, and the system redundancy is improved.
The load prediction model of the present embodiment is constructed based on a neural network model, and is used for predicting the load of the load device in the future. The network structure of the embodiment of the present disclosure may include an input layer, a hidden layer, and an output layer; the input value of the input layer is the electric load value of N x 3 time points of the current time point; the number of hidden layer nodes is 6; the output layer may output the predicted power load values at the current N × 3 time points.
The method comprises the steps of determining corresponding predicted loads of various types of load equipment in a preset time period through a pre-constructed load prediction model,
performing data preprocessing on a model training data set based on a pre-acquired model training data set, wherein the model training data set comprises the electrical information and the comprehensive energy information, and at least one of historical load information of a transformer of a power distribution station of the power distribution network, the type of load equipment and the position of the power distribution network where the load equipment is located, and the data preprocessing comprises at least one of data missing value supplement, repeated data deletion and data vectorization;
inputting a model training data set after data preprocessing into the load prediction model, and determining output values of all layers of the load prediction model;
and determining a prediction error and performing iterative correction on the prediction error according to the output values of the layers, the target function of the load prediction model, a preset weight correction function and a first correction weight and a second correction weight corresponding to the weight correction function until the prediction error meets a preset prediction condition, wherein the preset prediction condition comprises that the prediction error is lower than a preset prediction threshold.
The calculation of the iterative correction comprises that,
wherein Out (k) represents the kth prediction error, L represents the number of hidden layer nodes, P represents the number of output layer nodes, μ i Representing the weight value, delta, from the hidden layer to the output layer corresponding to the ith node of the hidden layer j Represents the output sequence corresponding to the jth output layer, m j 、n j Respectively representing a translation parameter and a stretching parameter, alpha, corresponding to the jth output layer i Represents a first correction weight, beta j Indicating the second modified weight.
Optionally, the first correction weight and the second correction weight of this embodiment may be a shrinkage factor and an acceleration factor, respectively, where the first correction weight can ensure the convergence of the overall algorithm, and at the same time, does not need to limit the convergence speed of the algorithm; the second correction weight can effectively balance the searching capability of the whole algorithm and the local algorithm, the condition of local optimal solution is avoided, and iteration can be carried out in a smaller range in the iteration process of the algorithm to find the optimal solution.
S103: and determining whether the type of load equipment has overload possibility according to the predicted load corresponding to the various types of load equipment and the load threshold corresponding to the type of load equipment, and if so, carrying out load transfer on the load equipment with the overload possibility. It should be noted that:
the load threshold comprises a maximum load threshold and a maximum load frequency threshold; wherein, the load maximum bearing threshold is used for indicating a maximum load value at a certain moment; the load maximum frequency threshold is used for indicating a load predicted value at the current moment and the ratio of the difference value of the load predicted value at the previous moment to the load predicted value at the current moment;
through the two load threshold types, whether the load is overloaded or not can be judged from two angles, the protection strength of the load is further improved, and failure and missing report can be effectively avoided.
If the possibility of overload of the type of load equipment is determined, carrying out load transfer on the load equipment with the possibility of overload;
if the predicted load corresponding to each type of load equipment is greater than the maximum load bearing value of the load, and the change frequency of the predicted load corresponding to each type of load equipment is greater than the maximum load frequency threshold of the load, determining the possibility of overload of the type of load equipment, and taking the load equipment with the possibility of overload as a first overload load equipment set, wherein the change frequency of the predicted load is the predicted value of the load at the current moment, and the ratio of the difference value between the predicted value of the load at the current moment and the predicted value of the load at the current moment;
determining power supply margins of the first overload load equipment set and the transformer according to historical load information of a transformer of a power distribution station of the power distribution network and the position of the power distribution network where the load equipment is located;
taking the load equipment of which the power supply margin corresponding to the first overload load equipment set exceeds a preset power supply threshold value as a second overload load equipment set;
and carrying out load transfer on the load equipment of the second overload load equipment set.
Exemplarily, if the predicted load is greater than the maximum load carrying value and/or the change frequency of the predicted load is greater than the maximum load frequency threshold, it may be determined that the load is overloaded, the overloaded load devices may be divided into a first overloaded load device set, and the devices in the device set may be further determined;
and determining a power supply margin of the first overload load equipment set and the transformer according to the plurality of information, determining the relation between the power supply margin and a power supply threshold, and if the power supply margin is greater than the power supply threshold, determining that the power supply margin exceeds the pressure bearing capacity of the transformer and needs load transfer, wherein the power supply margin is used for indicating the difference between the rated load of the transformer and the predicted load of the load equipment.
Comprises the steps of (a) preparing a mixture of a plurality of raw materials,
if the predicted load corresponding to the various types of load equipment is greater than the maximum load value of the load, setting a first alarm level for the overloaded load equipment;
if the change frequency of the predicted load corresponding to the various types of load equipment is greater than the maximum load frequency threshold value, setting a second alarm level for the overloaded load equipment;
if the power supply margin corresponding to the load equipment of the first overload load equipment set exceeds a preset power supply threshold value, setting a third alarm level for the overload load equipment;
the importance levels of the first alarm level, the second alarm level and the third alarm level are sequentially increased, and the treatment critical degree corresponding to the alarm levels is sequentially increased.
Load shifting the load devices of the second set of overloaded load devices comprises,
determining the comprehensive power loss of the transformer and the load unbalance degree among the transformers in the position according to the position of the distribution network where the load equipment is located;
setting a particle swarm optimization algorithm as a target function of load transfer based on the comprehensive power loss and the load imbalance among the transformers, and setting constraint conditions corresponding to the target function;
and solving the objective function according to the constraint condition, and taking a solving result as a load transfer strategy, wherein the load transfer strategy comprises at least one of load transfer direction and load transfer quantity.
Exemplarily, the objective function of the embodiment of the present disclosure may be constructed based on a particle swarm optimization algorithm, and is used to find an optimal solution from the objective function, and use the optimal solution as a load transfer strategy; the load transfer strategy comprises a load transfer direction and a load transfer quantity; the constraint condition corresponding to the objective function may include at least one of load reduction in the load node, power balance constraint of the power grid in the key area, node voltage and line current constraint, and output constraint of the power station and the distributed power supply.
The embodiment of the disclosure provides a method and a system for monitoring continuous power supply capacity of a load, which can determine corresponding predicted loads of various types of load equipment within a preset time period, specifically predict the corresponding predicted loads of the different types of load equipment, and effectively carry out detailed load transfer;
in addition, by introducing the first correction weight and the second correction weight into the prediction model, the convergence speed of the model can be increased, and the optimal output result can be determined by reducing the iteration times of the model;
the predicted load output by the model is evaluated from the single point of view of the load value, and the change frequency of the load is also considered, and the two are used as the basis of the overload of the load together, so that the method is objective and effective. And corresponding alarm levels are set for different conditions of overload of the load.
In one embodiment, a monitoring system for continuous power supply capability of a load is provided, comprising:
the system comprises a first unit and a second unit, wherein the first unit is used for acquiring electrical information of a power distribution network and comprehensive energy information of distributed resources based on an information acquisition terminal installed in the power distribution network, the electrical information comprises at least one of network topology structure information and power generation information, and the comprehensive energy information comprises at least one of output information of a distributed power supply and energy storage capacity of an energy storage terminal;
the second unit is used for determining corresponding predicted loads of various types of load equipment in a preset time period through a pre-constructed load prediction model according to the electrical information, the comprehensive energy information, historical load information of a transformer of a power distribution station of the power distribution network, types of the load equipment and the position of the power distribution network where the load equipment is located, wherein the load prediction model is constructed on the basis of a neural network model and is used for predicting the loads of the load equipment in a future time period;
and a third unit, configured to determine whether the type of load device has a possibility of overload according to the predicted load corresponding to the various types of load devices and a load threshold corresponding to the type of load device, and if so, perform load transfer on the load device having the possibility of overload.
In one embodiment, a computer device is provided, comprising,
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to invoke the memory-stored instructions to perform the method of any of the preceding embodiments.
In one embodiment, a computer-readable storage medium is provided having computer program instructions stored thereon,
the computer program is executed by a processor to perform the method of any of the preceding embodiments.
The computer program, when executed, may comprise the flows of embodiments of the methods described above. Any reference to memory, databases, or other media used in embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high-density embedded nonvolatile Memory, resistive Random Access Memory (ReRAM), magnetic Random Access Memory (MRAM), ferroelectric Random Access Memory (FRAM), phase Change Memory (PCM), graphene Memory, and the like. Volatile Memory can include Random Access Memory (RAM), external cache Memory, and the like. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others. The databases involved in the various embodiments provided herein may include at least one of relational and non-relational databases. The non-relational database may include, but is not limited to, a block chain based distributed database, and the like. The processors referred to in the embodiments provided herein may be general purpose processors, central processing units, graphics processors, digital signal processors, programmable logic devices, quantum computing based data processing logic devices, etc., without limitation.
The method provided by the invention can monitor the load of the power distribution network, and can carry out load transfer under the condition that the load overload is possible, so that the conditions of air circuit breaker refusal, override trip or multi-level combined trip and the like during the short-circuit fault of the direct current power supply network can be quickly judged and processed, and the operation reliability of the power grid equipment is improved.
Example 2
The present embodiment is a second embodiment of the present invention, which is different from the first embodiment in that a verification test of a monitoring method for monitoring the continuous power supply capability of an important load is provided, and in order to verify the technical effects adopted in the method, the present embodiment adopts a conventional technical scheme and the method of the present invention to perform a comparison test, and compares the test results by means of scientific demonstration to verify the actual effects of the method.
When the direct-current power supply network has hidden dangers such as poor matching of level differences, quality defects of the circuit breaker and the like, the situations of refusing the action, override tripping or multi-level combined tripping of the air circuit breaker and the like can occur when the direct-current power supply network has short-circuit faults. In the prior art, generally, operation and maintenance personnel wait for on-site inspection and then try to send a direct current breaker or notify technicians for processing, so that the fault judgment and processing time is prolonged, and the operation reliability of power grid equipment is seriously influenced; the invention monitors the load of the power distribution network, can determine the corresponding predicted load of various types of load equipment in a preset time period, can predict the corresponding predicted load of the load equipment in a targeted manner aiming at the load equipment of different types, and can effectively carry out load transfer in a detailed manner.
Table 1: the accuracy of fault discrimination and the processing time length.
| Accuracy of fault discrimination | Required time of | |
| The invention | 95％ | 30 seconds |
| Conventional technique | 65％ | 10 minutes |
As can be seen from Table 1, the method provided by the invention has high fault discrimination accuracy and shorter processing time.
It should be noted that the above-mentioned embodiments are only for illustrating the technical solutions of the present invention and not for limiting, and although the present invention has been described in detail with reference to the preferred embodiments, it should be understood by those skilled in the art that modifications or equivalent substitutions may be made on the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention, which should be covered by the claims of the present invention.
Claims (10)
1. A method for monitoring the continuous power supply capacity of an important load is characterized by comprising the following steps:
acquiring electrical information of the power distribution network and comprehensive energy information of distributed resources based on an information acquisition terminal installed in the power distribution network;
according to the electrical information and the comprehensive energy information, historical load information of a transformer of a power distribution station of the power distribution network, types of load equipment and positions of the power distribution network where the load equipment is located, and according to a pre-constructed load prediction model, corresponding predicted loads of various types of load equipment in a preset time period are determined;
and determining whether the type of load equipment has overload possibility according to the predicted load corresponding to the various types of load equipment and the load threshold corresponding to the type of load equipment, and if so, carrying out load transfer on the load equipment with the overload possibility.
2. The method for monitoring the continuous power supply capacity of the important load according to claim 1, wherein: the electrical information comprises at least one of network topology structure information and power generation information, and the comprehensive energy information comprises at least one of output information of a distributed power supply and energy storage capacity of an energy storage terminal;
the load prediction model is constructed on the basis of a neural network model and used for predicting the load of the load equipment in the future period of time.
3. The method for monitoring the continuous power supply capacity of the important load according to claim 1, wherein: the method comprises the steps of determining corresponding predicted loads of various types of load equipment in a preset time period through a pre-constructed load prediction model,
performing data preprocessing on a model training data set based on a pre-acquired model training data set, wherein the model training data set comprises the electrical information and the comprehensive energy information, and at least one of historical load information of a transformer of a power distribution station of the power distribution network, the type of load equipment and the position of the power distribution network where the load equipment is located, and the data preprocessing comprises at least one of data missing value supplement, repeated data deletion and data vectorization;
inputting a model training data set after data preprocessing into the load prediction model, and determining the output value of each layer of the load prediction model;
and determining a prediction error and performing iterative correction on the prediction error according to the output values of the layers, the target function of the load prediction model, a preset weight correction function and a first correction weight and a second correction weight corresponding to the weight correction function until the prediction error meets a preset prediction condition, wherein the preset prediction condition comprises that the prediction error is lower than a preset prediction threshold.
4. The method for monitoring the continuous power supply capacity of the important load according to claim 1, wherein: the calculation of the iterative correction comprises that,
wherein Out (k) represents the kth prediction error, L represents the number of hidden layer nodes, P represents the number of output layer nodes, μ i Representing the weight value, delta, from the hidden layer to the output layer corresponding to the ith node of the hidden layer j Represents the output sequence corresponding to the jth output layer, m j 、n j Respectively representing a translation parameter and a stretching parameter, alpha, corresponding to the jth output layer i Represents a first correction weight, beta j Representing the second modified weight.
5. The method for monitoring the continuous power supply capacity of the important load according to claim 1, wherein: the load threshold comprises a maximum load threshold and a maximum load frequency threshold;
if the possibility of overload of the type of load equipment is determined, carrying out load transfer on the load equipment with the possibility of overload;
if the predicted load corresponding to each type of load equipment is greater than the maximum load bearing value of the load, and the change frequency of the predicted load corresponding to each type of load equipment is greater than the maximum load frequency threshold of the load, determining the possibility of overload of the type of load equipment, and taking the load equipment with the possibility of overload as a first overload load equipment set, wherein the change frequency of the predicted load is the predicted value of the load at the current moment, and the ratio of the difference value between the predicted value of the load at the current moment and the predicted value of the load at the current moment;
determining power supply margins of the first overload load equipment set and the transformer according to historical load information of a transformer of a power distribution station of the power distribution network and the position of the power distribution network where the load equipment is located;
taking the load equipment of which the power supply margin corresponding to the first overload load equipment set exceeds a preset power supply threshold value as a second overload load equipment set;
and carrying out load transfer on the load equipment of the second overload load equipment set.
6. The method for monitoring the continuous power supply capacity of the important load according to claim 1, wherein: comprises the steps of (a) preparing a mixture of a plurality of raw materials,
if the predicted load corresponding to the various types of load equipment is greater than the maximum load value of the load, setting a first alarm level for the overloaded load equipment;
if the change frequency of the predicted load corresponding to the various types of load equipment is greater than the maximum load frequency threshold value, setting a second alarm level for the overloaded load equipment;
if the power supply margin corresponding to the load equipment of the first overload load equipment set exceeds a preset power supply threshold value, setting a third alarm level for the overload load equipment;
the importance levels of the first alarm level, the second alarm level and the third alarm level are sequentially increased, and the treatment critical degree corresponding to the alarm levels is sequentially increased.
7. The method for monitoring the continuous power supply capacity of the important load according to claim 1, wherein: load shifting the load devices of the second set of overloaded load devices comprises,
determining the comprehensive power loss of the transformer and the load unbalance degree among the transformers in the position according to the position of the distribution network where the load equipment is located;
setting a particle swarm optimization algorithm as a target function of load transfer based on the comprehensive power loss and the load imbalance among the transformers, and setting a constraint condition corresponding to the target function;
and solving the objective function according to the constraint condition, and taking a solving result as a load transfer strategy, wherein the load transfer strategy comprises at least one of load transfer direction and load transfer quantity.
8. A system for monitoring the continuous power capability of a load, comprising:
the system comprises a first unit and a second unit, wherein the first unit is used for acquiring electrical information of a power distribution network and comprehensive energy information of distributed resources based on an information acquisition terminal installed in the power distribution network, the electrical information comprises at least one of network topology structure information and power generation information, and the comprehensive energy information comprises at least one of output information of a distributed power supply and energy storage capacity of an energy storage terminal;
the second unit is used for determining corresponding predicted loads of various types of load equipment in a preset time period through a pre-constructed load prediction model according to the electrical information, the comprehensive energy information, historical load information of a transformer of a power distribution station of the power distribution network, types of the load equipment and the position of the power distribution network where the load equipment is located, wherein the load prediction model is constructed on the basis of a neural network model and is used for predicting the loads of the load equipment in a future time period;
and a third unit, configured to determine whether the type of load device has a possibility of overload according to the predicted load corresponding to the various types of load devices and a load threshold corresponding to the type of load device, and if so, perform load transfer on the load device having the possibility of overload.
9. An apparatus, comprising:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to invoke the memory-stored instructions to perform the method of any of claims 1 to 7.
10. A computer readable storage medium having computer program instructions stored thereon, which when executed by a processor implement the method of any one of claims 1 to 6.
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| CN116826720A (en) * | 2023-06-21 | 2023-09-29 | 浙江卓松电气有限公司 | Electrical load prediction method, apparatus, device and readable storage medium for power distribution device |
| CN116826720B (en) * | 2023-06-21 | 2024-03-29 | 浙江卓松电气有限公司 | Electrical load prediction method, apparatus, device and readable storage medium for power distribution device |
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