CN118137496A - Distribution network load acquisition method, system and storage medium - Google Patents
Distribution network load acquisition method, system and storage medium Download PDFInfo
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- H—ELECTRICITY
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- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
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Abstract
The invention relates to the technical field of power distribution load acquisition and adjustment, and particularly discloses a power distribution network load acquisition method, a power distribution network load acquisition system and a storage medium, wherein the method comprises the steps of acquiring historical current at a sampling point and determining electric quantity distribution parameters according to the historical current; performing current simulation on the pipe network diagram based on the electric quantity distribution parameters, determining predicted current of each pipeline in the pipe network diagram, and determining a load pipeline based on the predicted current; the method comprises the steps of obtaining actual current of a load pipeline in real time, comparing the actual current with predicted current of load points, calculating accuracy, and adjusting load acquisition density and load acquisition frequency according to the accuracy. The method predicts the current in a period of time in the future, determines a load area and predicts the current of the load area; when the actual current is obtained, the actual current is compared with the predicted current, the accuracy is calculated, the load acquisition frequency of the whole power distribution network is adjusted based on the inverse proportion of the accuracy, and the resource utilization rate is greatly optimized.
Description
Technical Field
The invention relates to the technical field of power distribution load acquisition and adjustment, in particular to a power distribution network load acquisition method, a power distribution network load acquisition system and a storage medium.
Background
The importance of the power distribution network load acquisition is that it plays a key role in the operation, planning and optimization of the power system. At the system operation and security level: the load acquisition provides information about the current load demand of the power system. The system load can be monitored in real time by an operator, the system is ensured to run in a normal working range, the problems of overload or unstable voltage and the like are avoided, and therefore the safety and the reliability of the system are ensured. At the system planning level: knowing the load acquisition situation is critical to the long-term planning of the power system. By analyzing the historical load data and predicting future load demands, the demands of future system extensions, modifications, or upgrades can be determined to meet the increasing power demands. At the resource optimization level: accurate load acquisition data helps to optimize the resource utilization of the power system. This includes optimizing the scheduling and operation of power generation resources and determining the appropriate power transmission and distribution equipment capacity to maximize load demand and reduce system operating costs.
The existing load acquisition process of the power distribution network mostly adopts meters with remote transmission function, and when the meters acquire data, the meters are remotely uploaded to a master control end; however, in this process, the acquisition frequency is fixed, and the load of the power distribution network is in a stable state under most conditions, so that the data acquisition process has a lot of meaningless acquisition, and the fixed acquisition frequency has a very low resource utilization rate although the data sufficiency is higher, so that how to optimize the load acquisition process is a technical problem to be solved by the technical scheme of the invention.
Disclosure of Invention
The invention aims to provide a power distribution network load acquisition method, a power distribution network load acquisition system and a storage medium, so as to solve the problems in the background art.
In order to achieve the above purpose, the present invention provides the following technical solutions:
a method of power distribution network load acquisition, the method comprising:
acquiring a power distribution network, and expanding a pipe network diagram based on the current of the power distribution network; each pipeline in the pipe network diagram has one and only one corresponding line in the power distribution network; the width of each line is determined by the current rating of the line;
Inserting sampling points into a power distribution network according to preset density, acquiring historical current at the sampling points, and determining electric quantity distribution parameters according to the historical current; the electric quantity distribution parameters are used for representing the total electric quantity of each area in a preset time period;
performing current simulation on the pipe network diagram based on the electric quantity distribution parameters, determining predicted current of each pipeline in the pipe network diagram, and determining a load pipeline based on the predicted current;
Acquiring the actual current of a load pipeline in real time, comparing the actual current with the predicted current of a load point location, calculating the accuracy, and adjusting the load acquisition density and the load acquisition frequency according to the accuracy; the load acquisition frequency is inversely proportional to the accuracy.
As a further scheme of the invention: the current expansion pipe network diagram based on the power distribution network comprises the following steps:
acquiring the position relation and the connection relation of each line in the power distribution network, and constructing a circuit diagram;
Inquiring rated current of each line, and determining line width of each wire in the circuit diagram according to the rated current;
Determining a current magnitude relation between wires based on nodes in the circuit diagram, and correcting the line width based on the current magnitude relation; and taking the corrected circuit diagram as a pipe network diagram.
As a further scheme of the invention: inserting sampling points into the power distribution network according to preset density, obtaining historical current at the sampling points, and determining electric quantity distribution parameters according to the historical current, wherein the step of determining the electric quantity distribution parameters comprises the following steps:
inserting sampling points into the power distribution network according to preset density, and obtaining historical current at the sampling points;
calculating the electric quantity of each line according to a preset time difference and a historical current at a sampling point, and constructing an electric quantity layer according to the electric quantity by taking the pipe network diagram as a reference;
Superposing the electric quantity layers according to the time sequence in a preset time period to obtain an electric quantity total graph;
and traversing each point of the electric quantity total graph to obtain electric quantity distribution parameters.
As a further scheme of the invention: the step of traversing each point of the electric quantity total graph to obtain electric quantity distribution parameters comprises the following steps:
Traversing each point in the electric quantity total graph, and calculating a first-order difference and a second-order difference;
calculating the difference value of the adjacent point positions based on the first-order difference and the second-order difference;
Spectral clustering is carried out on all points in the electric quantity total graph based on the difference value, so as to obtain an electric quantity region;
Intercepting subareas in each electric quantity layer based on the electric quantity region, calculating the total value of the subareas in each electric quantity layer, and synchronously calculating the ratio between the total values of different subareas;
randomly segmenting the total value of the electric quantity area according to the ratio to obtain a numerical distribution array of the electric quantity area;
the calculation process of the difference value is as follows:
； In the above, the ratio of/> Is the difference value between point A and point B,/>Is the difference between point A and point B,/>For the minimum value in the difference values of all the points,/>For the maximum value in the difference values of all the points,/>And/>For a preset correction factor,/>Is the first order difference at point A,/>Is the second order difference at point A,/>Is the first order difference at point B,/>Is the second order difference at point B;
The conditions for the values of the elements in the numerical distribution array are:
；/> ; where N is the number of elements in the numerical distribution array,/> Is the value of the ith element in the numerical value distribution array, T is the total value of the electric quantity area,/>Is a preset percentage-Is the ratio of the total value of the ith sub-area.
As a further scheme of the invention: the step of performing current simulation on the pipe network diagram based on the electric quantity distribution parameters to determine the predicted current of each pipeline in the pipe network diagram, and determining the load pipeline based on the predicted current comprises the following steps:
Reading a numerical distribution array in at least one time period, and calculating an average distribution array;
simulating the current of each pipeline according to the average distribution array to be used as a predicted current;
when the predicted current reaches a preset current threshold, marking the pipeline as a load pipeline; the current threshold is determined by the linewidth of the pipeline.
As a further scheme of the invention: the steps of obtaining the actual current of the load pipeline in real time, comparing the actual current with the predicted current of the load point location, calculating the accuracy, and adjusting the load acquisition density and the load acquisition frequency according to the accuracy comprise the following steps:
Acquiring the actual current of a load pipeline in real time, and inquiring the predicted current of the load pipeline at the latest moment;
Comparing the actual current with the predicted current, and calculating the accuracy;
Adjusting the load acquisition density and the load acquisition frequency according to the accuracy; the load acquisition frequency is inversely proportional to the accuracy.
The technical scheme of the invention also provides a power distribution network load acquisition system, which comprises:
The network diagram expansion module is used for acquiring a power distribution network and expanding a network diagram based on the current of the power distribution network; each pipeline in the pipe network diagram has one and only one corresponding line in the power distribution network; the width of each line is determined by the current rating of the line;
The power distribution determining module is used for inserting sampling points into the power distribution network according to preset density, acquiring historical currents at the sampling points and determining power distribution parameters according to the historical currents; the electric quantity distribution parameters are used for representing the total electric quantity of each area in a preset time period;
the current prediction module is used for performing current simulation on the pipe network diagram based on the electric quantity distribution parameters, determining the predicted current of each pipeline in the pipe network diagram, and determining the load pipeline based on the predicted current;
The acquisition frequency adjusting module is used for acquiring the actual current of the load pipeline in real time, comparing the actual current with the predicted current of the load point location, calculating the accuracy, and adjusting the load acquisition density and the load acquisition frequency according to the accuracy; the load acquisition frequency is inversely proportional to the accuracy.
As a further scheme of the invention: the pipe network diagram expansion module comprises:
The circuit diagram construction unit is used for acquiring the position relation and the connection relation of each line in the power distribution network and constructing a circuit diagram;
The line width determining unit is used for inquiring rated current of each line and determining line width of each wire in the circuit diagram according to the rated current;
and the line width correction unit is used for determining the current magnitude relation among the wires based on the nodes in the circuit diagram, correcting the line width based on the current magnitude relation and taking the corrected circuit diagram as a pipe network diagram.
As a further scheme of the invention: the power distribution determining module includes:
the historical data acquisition unit is used for inserting sampling points into the power distribution network according to preset density to acquire historical current at the sampling points;
The electric quantity layer construction unit is used for calculating the electric quantity of each line according to a preset time difference and the historical current at the sampling point, and constructing an electric quantity layer according to the electric quantity by taking the pipe network diagram as a reference;
the chart layer stacking unit is used for stacking the electric quantity chart layers according to the time sequence in a preset time period to obtain an electric quantity total chart;
and the traversing unit is used for traversing each point of the electric quantity total graph to obtain electric quantity distribution parameters.
The technical scheme of the invention also provides a storage medium, at least one program code is stored in the medium, and the program code realizes the power distribution network load acquisition method when being loaded and executed by a processor.
Compared with the prior art, the invention has the beneficial effects that: according to the invention, the electric quantity is calculated according to the existing historical current, the electric quantity predicts the current in a period of time in the future, a load area is determined, and the current of the load area is predicted; when the actual current is obtained, the actual current is compared with the predicted current, the accuracy is calculated, the load acquisition frequency of the whole power distribution network is adjusted based on the inverse proportion of the accuracy, and the resource utilization rate is greatly optimized.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following description will briefly introduce the drawings that are needed in the embodiments or the description of the prior art, and it is obvious that the drawings in the following description are only some embodiments of the present invention.
Fig. 1 is a flow chart diagram of a method of load acquisition of a power distribution network.
Fig. 2 is a block diagram of a power distribution network load acquisition system.
Detailed Description
In order to make the technical problems, technical schemes and beneficial effects to be solved more clear, the invention is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Fig. 1 is a flow chart of a method for acquiring load of a power distribution network, in an embodiment of the present invention, a method for acquiring load of a power distribution network, the method includes:
Step S100: acquiring a power distribution network, and expanding a pipe network diagram based on the current of the power distribution network; each pipeline in the pipe network diagram has one and only one corresponding line in the power distribution network; the width of each line is determined by the current rating of the line;
The power distribution network generally refers to a power system that delivers electrical energy from a power generation station to an end user. It includes various devices and facilities such as transformers, switching equipment, cables, wires, switchboards, etc. for distributing and transmitting electrical energy. These networks are typically divided into high voltage power transmission and low voltage distribution networks. The power distribution network in the present application refers to a power transmission line, which is itself a network, and is thus referred to as a power distribution network; the power distribution network is a power transmission line in an actual scene, and when the execution main body of the method performs load acquisition management, digital information needs to be processed, so that a network diagram corresponding to the power distribution network needs to be generated first, and the network diagram is called a pipe network diagram.
Regarding the generated pipe network diagram, each pipeline in the pipe network diagram corresponds to one line in the power distribution network, and on the basis, the parameter of the pipeline width is also introduced for the carrying capacity of the sheet lines, namely, rated current; in popular terms, the pipe network diagram is a line diagram with a plurality of lines with different thicknesses, and each line corresponds to an actual line one by one.
Step S200: inserting sampling points into a power distribution network according to preset density, acquiring historical current at the sampling points, and determining electric quantity distribution parameters according to the historical current; the electric quantity distribution parameters are used for representing the total electric quantity of each area in a preset time period;
The method comprises the steps that a worker presets a density, sampling points are inserted into a power distribution network based on the density, an ammeter is installed at each sampling point, and currents at all moments at the sampling points can be obtained and are called historical currents; analyzing the historical current to determine electric quantity distribution parameters; where the electrical quantity is related to current and time, the electrical quantity distribution parameter is therefore typically an electrical quantity distribution over a period of time, which may be ten minutes, half an hour, an hour or even longer.
Step S300: performing current simulation on the pipe network diagram based on the electric quantity distribution parameters, determining predicted current of each pipeline in the pipe network diagram, and determining a load pipeline based on the predicted current;
The electric quantity distribution parameters represent how much electric quantity exists in each area of the pipe network diagram, the current simulation is carried out on the pipe network diagram according to the electric quantity, the predicted current in a future period of time can be determined, and according to the magnitude of the predicted current, the pipelines which are possibly under the load condition can be judged; in the pipe network diagram generation process, the pipeline width represents the bearing capacity of the lines, and only the predicted current is required to be obtained, so that the lines which are possibly in the load condition can be rapidly judged.
Step S400: acquiring the actual current of a load pipeline in real time, comparing the actual current with the predicted current of a load point location, calculating the accuracy, and adjusting the load acquisition density and the load acquisition frequency according to the accuracy; the load acquisition frequency is inversely proportional to the accuracy;
The load pipeline is also provided with sampling points, the actual current is obtained by the sampling points, the actual current and the predicted current are compared, the accuracy of the predicted result can be calculated, if the predicted result is accurate, the load acquisition density and the load acquisition frequency in the line can be lower, and conversely, if the predicted result is inaccurate, the load acquisition density and the load acquisition frequency are higher; the load acquisition density corresponds to the density of the sampling points in the content, and the method is characterized in that partial sampling points are selected from the existing sampling points, current acquisition (load acquisition) is carried out, the ratio of the number of the selected partial sampling points to the number of the total sampling points is the load acquisition density, and the process of selecting the partial sampling points is generally a uniform selection process, namely the intervals of the selected adjacent sampling points are the same; the load acquisition frequency is how many times a second of current is acquired for each selected sampling point. The load acquisition density and the load acquisition frequency are regulated together, and the smaller the load acquisition density and the load acquisition frequency, the smaller the acquisition resource input amount.
With respect to step S100, the step of obtaining the power distribution network and expanding the network map based on the current of the power distribution network includes:
acquiring the position relation and the connection relation of each line in the power distribution network, and constructing a circuit diagram;
Inquiring rated current of each line, and determining line width of each wire in the circuit diagram according to the rated current;
Determining a current magnitude relation between wires based on nodes in the circuit diagram, and correcting the line width based on the current magnitude relation; and taking the corrected circuit diagram as a pipe network diagram.
Specifically, regarding the construction process of the pipe network diagram, firstly, inquiring the position relationship and connection relationship of each line in the power distribution network, and constructing a circuit diagram according to the position relationship, the connection relationship and the default line width; then, inquiring rated current of each line, wherein the rated current represents the carrying capacity of the line, and adjusting the width of each line in the circuit diagram according to the direct proportion of the rated current; finally, the current magnitude relation between the wires is judged by taking the node as a reference, and in general, when the shunt condition occurs, rated currents of the two shunt wires are smaller, and the width of the wires is adjusted according to the current magnitude relation, so that the wires are more matched with the actual condition.
It should be noted that the above-mentioned effect of correcting the width of the pipe network according to the current magnitude relation is essentially a verification process, in practical application, considering the cost problem, the carrying capacity of the branching line is smaller than that of the bus, and the line width of the branching line is smaller than that of the bus in the piping diagram; if the line width of the branching line is larger than that of the bus, the query link of the rated current is likely to have errors.
Regarding step S200, the step of inserting sampling points in the power distribution network according to a preset density, obtaining a historical current at the sampling points, and determining an electric quantity distribution parameter according to the historical current includes:
inserting sampling points into the power distribution network according to preset density, and obtaining historical current at the sampling points;
calculating the electric quantity of each line according to a preset time difference and a historical current at a sampling point, and constructing an electric quantity layer according to the electric quantity by taking the pipe network diagram as a reference;
Superposing the electric quantity layers according to the time sequence in a preset time period to obtain an electric quantity total graph;
and traversing each point of the electric quantity total graph to obtain electric quantity distribution parameters.
In one example of the technical scheme of the invention, a worker inputs a density in advance, the density is used for representing that a line is provided with a plurality of sampling points, an instrument is arranged at the sampling points, current data is obtained, and the obtained current is called historical current; under the condition of a preset time difference (for example, half an hour), the electric quantity of each line can be calculated according to the current and the time difference, and the calculated electric quantity of each line is counted by taking a pipe network diagram as a reference to obtain a diagram layer expressed in a form of an image, which is called an electric quantity diagram layer; the electric quantity layer is overlapped in a preset time period (such as one day), an electric quantity total graph can be obtained, each point in the electric quantity total graph is analyzed, and the distribution condition of each line in the time period can be judged, which is called an electric quantity distribution parameter.
Further, the step of traversing each point of the electric quantity total graph to obtain the electric quantity distribution parameter includes:
Traversing each point in the electric quantity total graph, and calculating a first-order difference and a second-order difference;
calculating the difference value of the adjacent point positions based on the first-order difference and the second-order difference;
Spectral clustering is carried out on all points in the electric quantity total graph based on the difference value, so as to obtain an electric quantity region;
Intercepting subareas in each electric quantity layer based on the electric quantity region, calculating the total value of the subareas in each electric quantity layer, and synchronously calculating the ratio between the total values of different subareas;
randomly segmenting the total value of the electric quantity area according to the ratio to obtain a numerical distribution array of the electric quantity area;
the calculation process of the difference value is as follows:
； In the above, the ratio of/> Is the difference value between point A and point B,/>Is the difference between point A and point B,/>For the minimum value in the difference values of all the points,/>For the maximum value in the difference values of all the points,/>And/>For a preset correction factor,/>Is the first order difference at point A,/>Is the second order difference at point A,/>Is the first order difference at point B,/>Is the second order difference at point B;
The conditions for the values of the elements in the numerical distribution array are:
；/> ; where N is the number of elements in the numerical distribution array,/> Is the value of the ith element in the numerical value distribution array, T is the total value of the electric quantity area,/>Is a preset percentage-Is the ratio of the total value of the ith sub-area.
In some embodiments of the present invention, a determining process of the electric quantity distribution parameter is specifically limited, each point in the electric quantity total graph is traversed, a first-order difference and a second-order difference are calculated, the first-order difference represents a change condition of the electric quantity, the second-order difference represents whether the change is severe, and the two parameters of the first-order difference and the second-order difference jointly determine a parameter reflecting whether a difference exists between adjacent points, which is called a difference value, and the larger the difference value is, the larger the difference between the two points is represented.
The difference value is used as the distance between the point positions, the electric quantity total graph is converted into a graph structure, and then the electric quantity total graph is clustered, so that different areas can be obtained, namely electric quantity areas.
After the electric quantity area is determined, the electric quantity area intercepts the corresponding area in each electric quantity image layer, which is called a subarea, the sum of the values in the subareas is calculated, then the ratio between the sums is calculated, the values represent the ratio of the electric quantity values at intervals of half an hour by taking the time period and the time difference as examples, the total value of the electric quantity area can be inquired in the electric quantity total image, the total value is distributed according to the calculated ratio, and the distribution condition of the total value can be represented by a value distribution array.
It should be noted that, the process of assigning the total value according to the calculated ratio is not fixed, but the error within a preset range is floated up and down with each ratio as the center, thereby obtaining a random numerical distribution array, thus constructing a random feature, and conforming to the actual situation.
Regarding the calculation process of the difference value, the first-order difference and the second-order difference are considered at the same time, the calculation process adopts the existing first-order difference operator and second-order difference operator, the sum value is calculated according to the preset correction coefficient, and then the sum value is converted to be between 0 and 100, and the obtained value is called the difference value.
Regarding the values of the individual elements in the value distribution array, the completion of the generation process is random, and the above conditions are satisfied as a viable value distribution array, that is, the sum of all the values is the total value of the electric quantity area, and then each value is within a certain range of the corresponding ratio, which range is determined by the percentage example in the above.
Regarding step S300, the step of performing current simulation on the pipe network diagram based on the electric quantity distribution parameter, determining a predicted current of each pipeline in the pipe network diagram, and determining the load pipeline based on the predicted current includes:
Reading a numerical distribution array in at least one time period, and calculating an average distribution array;
simulating the current of each pipeline according to the average distribution array to be used as a predicted current;
when the predicted current reaches a preset current threshold, marking the pipeline as a load pipeline; the current threshold is determined by the linewidth of the pipeline.
Reading a plurality of numerical value distribution arrays, and calculating an average value to obtain an average distribution array; inquiring the relative position of the current moment in a time period, inquiring a numerical value in an average distribution array by the relative position, wherein the numerical value represents the electric quantity corresponding to the current moment, and calculating current by the electric quantity and the relative position (representing time), namely predicting current; the current threshold is queried based on the width of the pipeline, and if the predicted current reaches the current threshold, the pipeline is marked as a load pipeline.
It should be noted that the current threshold is typically 80% of the rated current.
Regarding step S400, the step of obtaining the actual current of the load pipeline in real time, comparing the actual current with the predicted current of the load point location, calculating the accuracy, and adjusting the load acquisition density and the load acquisition frequency according to the accuracy includes:
Acquiring the actual current of a load pipeline in real time, and inquiring the predicted current of the load pipeline at the latest moment;
Comparing the actual current with the predicted current, and calculating the accuracy;
Adjusting the load acquisition density and the load acquisition frequency according to the accuracy; the load acquisition frequency is inversely proportional to the accuracy.
The actual current is obtained through sampling points arranged in the pipeline, the corresponding predicted current is inquired, and the predicted error can be calculated according to the difference between the predicted current and the actual current, so that the accuracy is determined; and adjusting the load acquisition density and the load acquisition frequency according to the accuracy.
The load acquisition frequency refers to the current of the selected sampling points in a time period, and the negative acquisition density refers to the current acquisition of the selected sampling points at one time; the load acquisition frequency and the load acquisition density jointly determine the acquisition process, and the load acquisition process is changed by adjusting the two parameters.
Fig. 2 is a block diagram of a power distribution network load acquisition system, and in an embodiment of the present invention, a power distribution network load acquisition system, the system 10 includes:
The pipe network diagram expansion module 11 is used for acquiring a power distribution network and expanding a pipe network diagram based on the current of the power distribution network; each pipeline in the pipe network diagram has one and only one corresponding line in the power distribution network; the width of each line is determined by the current rating of the line;
The electric quantity distribution determining module 12 is configured to insert sampling points into the power distribution network according to a preset density, obtain a historical current at the sampling points, and determine an electric quantity distribution parameter according to the historical current; the electric quantity distribution parameters are used for representing the total electric quantity of each area in a preset time period;
The current prediction module 13 is configured to perform current simulation on the pipe network diagram based on the electric quantity distribution parameter, determine predicted currents of each pipeline in the pipe network diagram, and determine load pipelines based on the predicted currents;
The acquisition frequency adjusting module 14 is used for acquiring the actual current of the load pipeline in real time, comparing the actual current with the predicted current of the load point location, calculating the accuracy, and adjusting the load acquisition density and the load acquisition frequency according to the accuracy; the load acquisition frequency is inversely proportional to the accuracy.
Further, the pipe network diagram expansion module 11 includes:
The circuit diagram construction unit is used for acquiring the position relation and the connection relation of each line in the power distribution network and constructing a circuit diagram;
The line width determining unit is used for inquiring rated current of each line and determining line width of each wire in the circuit diagram according to the rated current;
and the line width correction unit is used for determining the current magnitude relation among the wires based on the nodes in the circuit diagram, correcting the line width based on the current magnitude relation and taking the corrected circuit diagram as a pipe network diagram.
Specifically, the power distribution determining module 12 includes:
the historical data acquisition unit is used for inserting sampling points into the power distribution network according to preset density to acquire historical current at the sampling points;
The electric quantity layer construction unit is used for calculating the electric quantity of each line according to a preset time difference and the historical current at the sampling point, and constructing an electric quantity layer according to the electric quantity by taking the pipe network diagram as a reference;
the chart layer stacking unit is used for stacking the electric quantity chart layers according to the time sequence in a preset time period to obtain an electric quantity total chart;
and the traversing unit is used for traversing each point of the electric quantity total graph to obtain electric quantity distribution parameters.
The functions that can be realized by the power distribution network load acquisition method are all completed by computer equipment, the computer equipment comprises one or more processors and one or more memories, at least one program code is stored in the one or more memories, and the program code is loaded and executed by the one or more processors to realize the power distribution network load acquisition method.
The processor takes out instructions from the memory one by one, analyzes the instructions, then completes corresponding operation according to the instruction requirement, generates a series of control commands, enables all parts of the computer to automatically, continuously and cooperatively act to form an organic whole, realizes the input of programs, the input of data, the operation and the output of results, and the arithmetic operation or the logic operation generated in the process is completed by the arithmetic unit; the Memory comprises a Read-Only Memory (ROM) for storing a computer program, and a protection system is arranged outside the Memory.
For example, a computer program may be split into one or more modules, one or more modules stored in memory and executed by a processor to perform the present invention. One or more of the modules may be a series of computer program instruction segments capable of performing specific functions for describing the execution of the computer program in the terminal device.
It will be appreciated by those skilled in the art that the foregoing description of the service device is merely an example and is not meant to be limiting, and may include more or fewer components than the foregoing description, or may combine certain components, or different components, such as may include input-output devices, network access devices, buses, etc.
The Processor may be a central processing unit (Central Processing Unit, CPU), other general purpose Processor, digital signal Processor (DIGITAL SIGNAL Processor, DSP), application SPECIFIC INTEGRATED Circuit (ASIC), off-the-shelf Programmable gate array (Field-Programmable GATE ARRAY, FPGA) or other Programmable logic device, discrete gate or transistor logic device, discrete hardware components, or the like. The general purpose processor may be a microprocessor or the processor may be any conventional processor or the like, which is the control center of the above-described terminal device, and which connects the various parts of the entire worker terminal using various interfaces and lines.
The memory may be used for storing computer programs and/or modules, and the processor may implement various functions of the terminal device by running or executing the computer programs and/or modules stored in the memory and invoking data stored in the memory. The memory may mainly include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function (such as an information acquisition template display function, a product information release function, etc.), and the like; the storage data area may store data created according to the use of the berth status display system (e.g., product information acquisition templates corresponding to different product types, product information required to be released by different product providers, etc.), and so on. In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as a hard disk, memory, plug-in hard disk, smart memory card (SMART MEDIA CARD, SMC), secure Digital (SD) card, flash memory card (FLASH CARD), at least one disk storage device, flash memory device, or other volatile solid-state storage device.
The modules/units integrated in the terminal device may be stored in a computer readable medium if implemented in the form of software functional units and sold or used as separate products. Based on this understanding, the present invention may implement all or part of the modules/units in the system of the above-described embodiments, or may be implemented by instructing the relevant hardware by a computer program, which may be stored in a computer-readable medium, and which, when executed by a processor, may implement the functions of the respective system embodiments described above. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, executable files or in some intermediate form, etc. The computer readable medium may include: any entity or system capable of carrying computer program code, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer Memory, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), an electrical carrier signal, a telecommunications signal, a software distribution medium, and so forth.
It should be noted that, in this document, the term "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The foregoing description is only of the preferred embodiments of the present invention, and is not intended to limit the scope of the invention, but rather is intended to cover any equivalents of the structures or equivalent processes disclosed herein or in the alternative, which may be employed directly or indirectly in other related arts.
Claims (7)
1. A method for acquiring load of a power distribution network, the method comprising:
acquiring a power distribution network, and expanding a pipe network diagram based on the current of the power distribution network; each pipeline in the pipe network diagram has one and only one corresponding line in the power distribution network; the width of each line is determined by the current rating of the line;
Inserting sampling points into a power distribution network according to preset density, acquiring historical current at the sampling points, and determining electric quantity distribution parameters according to the historical current; the electric quantity distribution parameters are used for representing the total electric quantity of each area in a preset time period;
performing current simulation on the pipe network diagram based on the electric quantity distribution parameters, determining predicted current of each pipeline in the pipe network diagram, and determining a load pipeline based on the predicted current;
acquiring the actual current of a load pipeline in real time, comparing the actual current with the predicted current of a load point location, calculating the accuracy, and adjusting the load acquisition density and the load acquisition frequency according to the accuracy; the load acquisition frequency is inversely proportional to the accuracy;
inserting sampling points into the power distribution network according to preset density, obtaining historical current at the sampling points, and determining electric quantity distribution parameters according to the historical current, wherein the step of determining the electric quantity distribution parameters comprises the following steps:
inserting sampling points into the power distribution network according to preset density, and obtaining historical current at the sampling points;
calculating the electric quantity of each line according to a preset time difference and the historical current at a sampling point, and constructing an electric quantity layer according to the electric quantity of each line by taking the pipe network diagram as a reference;
Superposing the electric quantity layers according to the time sequence in a preset time period to obtain an electric quantity total graph;
traversing each point of the electric quantity total graph to obtain electric quantity distribution parameters;
the step of traversing each point of the electric quantity total graph to obtain electric quantity distribution parameters comprises the following steps:
Traversing each point in the electric quantity total graph, and calculating a first-order difference and a second-order difference;
calculating the difference value of the adjacent point positions based on the first-order difference and the second-order difference;
Spectral clustering is carried out on all points in the electric quantity total graph based on the difference value, so as to obtain an electric quantity region;
Intercepting subareas in each electric quantity layer based on the electric quantity region, calculating the total value of the subareas in each electric quantity layer, and synchronously calculating the ratio between the total values of different subareas;
randomly segmenting the total value of the electric quantity area according to the ratio to obtain a numerical distribution array of the electric quantity area;
the calculation process of the difference value is as follows:
；/> In the above, the ratio of/> Is the difference value between point A and point B,/>Is the difference between point A and point B,/>For the minimum value in the difference values of all the points,/>For the maximum value in the difference values of all the points,/>And/>For a preset correction factor,/>Is the first order difference at point A,/>Is the second order difference at point A,/>Is the first order difference at point B,/>Is the second order difference at point B;
The conditions for the values of the elements in the numerical distribution array are:
；/> ; where N is the number of elements in the numerical distribution array,/> Is the value of the ith element in the numerical value distribution array, T is the total value of the electric quantity area,/>Is a preset percentage-Is the ratio of the total value of the ith sub-area;
the step of performing current simulation on the pipe network diagram based on the electric quantity distribution parameters to determine the predicted current of each pipeline in the pipe network diagram, and determining the load pipeline based on the predicted current comprises the following steps:
Reading a numerical distribution array in at least one time period, and calculating an average distribution array;
simulating the current of each pipeline according to the average distribution array to be used as a predicted current;
when the predicted current reaches a preset current threshold, marking the pipeline as a load pipeline; the current threshold is determined by the linewidth of the pipeline.
2. The method for acquiring load of power distribution network according to claim 1, wherein the step of acquiring the power distribution network and expanding the network map based on current of the power distribution network comprises:
acquiring the position relation and the connection relation of each line in the power distribution network, and constructing a circuit diagram;
Inquiring rated current of each line, and determining line width of each wire in the circuit diagram according to the rated current;
Determining a current magnitude relation between wires based on nodes in the circuit diagram, and correcting the line width based on the current magnitude relation; and taking the corrected circuit diagram as a pipe network diagram.
3. The method for acquiring load of power distribution network according to claim 1, wherein the step of acquiring the actual current of the load line in real time, comparing the actual current with the predicted current of the load point location, calculating the accuracy, and adjusting the load acquisition density and the load acquisition frequency according to the accuracy comprises:
Acquiring the actual current of a load pipeline in real time, and inquiring the predicted current of the load pipeline at the latest moment;
Comparing the actual current with the predicted current, and calculating the accuracy;
Adjusting the load acquisition density and the load acquisition frequency according to the accuracy; the load acquisition frequency is inversely proportional to the accuracy.
4. A power distribution network load acquisition system for implementing the power distribution network load acquisition method according to any one of claims 1 to 3, the system comprising:
The network diagram expansion module is used for acquiring a power distribution network and expanding a network diagram based on the current of the power distribution network; each pipeline in the pipe network diagram has one and only one corresponding line in the power distribution network; the width of each line is determined by the current rating of the line;
The power distribution determining module is used for inserting sampling points into the power distribution network according to preset density, acquiring historical currents at the sampling points and determining power distribution parameters according to the historical currents; the electric quantity distribution parameters are used for representing the total electric quantity of each area in a preset time period;
the current prediction module is used for performing current simulation on the pipe network diagram based on the electric quantity distribution parameters, determining the predicted current of each pipeline in the pipe network diagram, and determining the load pipeline based on the predicted current;
The acquisition frequency adjusting module is used for acquiring the actual current of the load pipeline in real time, comparing the actual current with the predicted current of the load point location, calculating the accuracy, and adjusting the load acquisition density and the load acquisition frequency according to the accuracy; the load acquisition frequency is inversely proportional to the accuracy.
5. The power distribution network load acquisition system according to claim 4, wherein the pipe network map expansion module includes:
The circuit diagram construction unit is used for acquiring the position relation and the connection relation of each line in the power distribution network and constructing a circuit diagram;
The line width determining unit is used for inquiring rated current of each line and determining line width of each wire in the circuit diagram according to the rated current;
and the line width correction unit is used for determining the current magnitude relation among the wires based on the nodes in the circuit diagram, correcting the line width based on the current magnitude relation and taking the corrected circuit diagram as a pipe network diagram.
6. The power distribution network load acquisition system according to claim 4, wherein the power distribution determination module includes:
the historical data acquisition unit is used for inserting sampling points into the power distribution network according to preset density to acquire historical current at the sampling points;
The electric quantity layer construction unit is used for calculating the electric quantity of each line according to a preset time difference and the historical current at the sampling point, and constructing an electric quantity layer according to the electric quantity of each line by taking the pipe network diagram as a reference;
the chart layer stacking unit is used for stacking the electric quantity chart layers according to the time sequence in a preset time period to obtain an electric quantity total chart;
and the traversing unit is used for traversing each point of the electric quantity total graph to obtain electric quantity distribution parameters.
7. A storage medium having stored therein at least one program code which, when loaded and executed by a processor, implements the power distribution network load acquisition method of any one of claims 1-3.
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