KR20220117432A - Power system, method and apparatus for clustering of power system - Google Patents

Abstract

The present invention relates to a method and an apparatus for clustering a power system. The method for clustering a power system includes the following steps of: selecting at least one first open line from among a plurality of target lines in a power system; opening the at least one first open line; determining whether the power system is compartmentalized in accordance with the opening of the at least one first open line; if the power system is not compartmentalized, acquiring a flow amount for the rest of the plurality of target lines excluding the at least one open line; selecting at least one second open line from among the rest of the plurality of target lines based on the flow amount; opening the at least one second open line; and determining whether the power system is compartmentalized in accordance with the opening of the at least one second open line. Therefore, the present invention is capable of promoting a cost and time reduction through the simplification of a clustering procedure.

Description

POWER SYSTEM, METHOD AND APPARATUS FOR CLUSTERING OF POWER SYSTEM

It relates to a power system clustering method and apparatus.

According to the development of technology and industry, consumers of each industry or home consume a large amount of electric energy. The power system refers to power facilities connected from power plants to consumers, and systems or methods for operating them, etc. In the power system, there are power generation facilities, transmission lines, transmission/distribution facilities, and power reception facilities, and the number of them is very large, making proper management and operation difficult, and requires a lot of cost and manpower. In particular, recently, due to environmental problems, power generation sources using renewable energy, such as solar power generation, wind power generation, or tidal power generation, are increasing. However, there is a problem in that the amount of power generation of these renewable energy-based power sources is affected by the surrounding environment and has a large variability. In particular, it is expected that the future power system will have more diverse changes in power flow. Such variability was further increasing the difficulty of managing and maintaining the power system.

A power system clustering method capable of dividing a power system into a power generation stage and a load stage based on a transmission line having a large amount of power flow between compartments (cluster), and a power system clustering device capable of performing the above-described clustering method The task to be solved is to provide

In addition, the present invention is the 'optimal utilization of DC power equipment-based transmission network and grid service research' project of Korea Electric Power Corporation (task number: R17XA05-4, project performing institution: Yonsei University, research period: 2020.05.01 ~ 2021.04. .30).

In order to solve the above problems, a power system clustering method, a power system clustering apparatus, and a power system may be provided as follows.

The power system clustering method includes the steps of selecting at least one first open line from among a plurality of target lines in a power system, opening the at least one first open line, according to the opening of the at least one first open line Determining whether the power system is partitioned, if the power system is not partitioned, obtaining a current flow for a plurality of remaining target lines other than the at least one open line, the other plurality of based on the current flow Selecting at least one second open line from among the remaining target lines of It may include the step of becoming

The power system clustering device selects at least one first open line from among a plurality of target lines in a storage unit for storing information about the power system and the power system, and powers according to the opening of the at least one first open line. It is determined whether the system is partitioned, and if the power system is not partitioned, acquires a current flow for a plurality of remaining target lines other than the at least one open line, and based on the current flow, the other plurality of residual The processor may include a processor that selects at least one second open line from among target lines and determines whether the power system is partitioned according to the opening of the at least one second development line.

The power system clustering method, in one embodiment, includes the steps of performing a plurality of different partitioning for at least one power system, obtaining a coupling probability for a plurality of partitioning results for the power system, and the coupling probability It may include the step of performing probabilistic partitioning on the power system based on the partition probability using

According to the power system clustering method and apparatus described above, it is possible to obtain an effect that at least one power system can be appropriately divided into a power generation stage and a load stage based on a transmission line having a large amount of power flow between the clusters.

According to the power system clustering method and apparatus described above, it is possible to properly partition the power system without performing a simple iterative simulation, thereby simplifying the clustering process and reducing cost and time.

According to the power system clustering method and apparatus described above, it is also possible to obtain an advantage in that the system can be divided and partitioned by reflecting the variability or uncertainty of the renewable energy source.

According to the power system clustering method and apparatus described above, it is possible to build a more efficient and superior strategy and operation for the management and maintenance of the power system according to the appropriate compartmentalization of the power system, and also to implement the automation of the compartmentalization, so that it is economical You can also get benefits.

According to the power system clustering method and apparatus described above, it is possible to divide the power system into a power generation stage and a load stage from a probabilistic point of view, so that it is possible to select an optimal candidate site in the construction of a new transmission line for distribution of the line utilization rate can be obtained

According to the power system clustering method and apparatus described above, since regional system characteristics of a power system are divided into a power generation stage or a load stage, it is possible to more closely examine whether new distributed power input is appropriate.

A detailed description of each drawing is provided in order to more fully understand the drawings recited in the Detailed Description of the Invention.
1 is a first diagram for explaining an embodiment of a power system clustering method.
2 is an overall flowchart of an embodiment of a power grid clustering method.
3 is a second diagram for explaining an embodiment of a power system clustering method.
4 is a third diagram for explaining an embodiment of a power system clustering method.
5 is a detailed flowchart illustrating an embodiment of a power system clustering method.
6 is a flowchart of an embodiment of a method for clustering based on probability.
7 is a first diagram for explaining an embodiment of a clustering process based on probability.
8 is a second diagram for explaining an embodiment of a clustering process based on probability.
9 shows an embodiment of a clustering result performed based on a 90% probability.
10 shows an embodiment of a clustering result performed based on a 70% probability.
11 shows an example of a clustering result performed based on a 50% probability.
12 is a block diagram of an embodiment of a power system clustering apparatus.

In the following specification, the same reference numerals refer to the same components unless otherwise specified. The term to which 'unit' is added used below may be implemented in software or hardware, and according to embodiments, one 'unit' may be implemented as one physical or logical part, or a plurality of 'units' may be implemented as one It is also possible to be implemented with physical or logical parts, or one 'unit' may be implemented with a plurality of physical or logical parts. Throughout the specification, when it is said that a part is connected to another part, this may mean a physical connection or an electrically connected part depending on the part and the other part. In addition, when it is said that a part includes another part, it does not exclude another part other than the other part unless otherwise stated, and it means that another part may be further included according to the designer's choice. do. Terms such as first and second are used to distinguish one part from another, and unless otherwise specified, they do not mean sequential expressions. Also, the singular expression may include the plural expression unless the context clearly dictates otherwise.

Hereinafter, an embodiment of a power system clustering method and a power system partitioned into at least one zone will be described with reference to FIGS. 1 to 11 .

FIG. 1 is a first diagram for explaining an embodiment of a power system clustering method, and FIG. 2 is an overall flowchart of an embodiment of the power system clustering method. 3 and 4 are diagrams 3 and 4 for explaining an embodiment of a power system clustering method.

As shown in FIG. 1 , at least one power system z1 for clustering (zoning, compartmentalization) includes at least one power source (G1 to G10, thermal power plant or nuclear power plant, etc.), and at least one busbar 1 to 38, which can be referred to as a bus or node, etc.), but at least one of the power generation sources G10 to G10 and at least one of the busbars 1 to 38 transmit power through a mutual transmission line. Possibly connected and/or at least two of the busbars 1 to 38 may also be connected to enable power transmission through a mutual transmission line. The power system clustering method according to an embodiment shown in FIG. 2 divides at least one power system z1 as shown in FIGS. 3 and 4 into two or more second-order power systems z11 and z12 as shown in FIG. , according to the embodiment, by further subdividing the two or more next-level lower power systems (z12) and repeating the division into the next-order higher power systems (z12-1 to z12-3), finally at least one power system (z1) is plural It can be partitioned into detailed power systems (z11, z12-1 to z12-3) of Here, the plurality of detailed power systems z11, z12-1 to z12-3 may belong to any one of a generation side and a load side. Accordingly, at least one power system z1 may be divided into a power generation stage and a load stage.

According to an embodiment, the division of the at least one power system z1 may be repeatedly performed according to the target number of divisions Nc predefined by a user or a designer. For example, first, as shown in FIG. 2, partitioning is performed for the entire power system z1 (200), and if the number of partitions obtained according to the result of partitioning for the entire power system z1 (i.e., If the number of each lower power system such as the next higher power system (z11, z12) is smaller than the predefined division target number Nc (No of 300), at least one of the next higher power systems (z11, z12) For further partitioning is performed (400). Subsequently, the number of all divisions (lower power systems, for example, additionally partitioned next-level power systems (z12-1 to z12-3)) according to the division result for the next-level power systems (z11, z12) is a section in which the number is predefined. The target number of divisions in which the sum of the number of next-order higher-order power systems z12-1 to z12-3 partitioned less than or additionally than the target number Nc and the number of the next-order higher-order power systems z11 that are not additionally partitioned is predefined. It is determined whether it is smaller than (Nc) (300), and according to the determination result, further partitioning is performed on the undivided next higher power system (z11) or the further subdivided next higher power system (z12-1 to z12-3) may be (400). Conversely, the number of each next higher power system (z11, z12) obtained according to the result of segmentation for the entire power system (z1) (or the number of additionally partitioned next higher power systems (z12-1 to z12-3) is The predefined target number of divisions (Nc) or the sum of the number of additionally partitioned next-level power systems (z12-1 to z12-3) and the number of additionally partitioned second-order power systems (z11) are predefined. If it is equal to or greater than the target number of partitions Nc (Yes in 300), partitioning is terminated (500). For example, the target number of divisions Nc is set to 4 by the user or the like, and as shown in FIG. 4 , the overall power system z1 is divided into four second-order power systems z11, z12-1 to z13-3. Once partitioned, partitioning may end.

Here, the addition to at least one power system (z1), the next higher power system (z11, z12), the next higher power system (z12-1 to z12-3), or the next higher power system (z12-1 to z12-3) The compartmentalization of the lower power system(s) according to the division, in one embodiment, is that the power flow within each power system (z1, z11, z12, z12-1 to z12-3) is maximized. It may also be performed based on a flowing maximum current line. Specifically, for example, when the maximum current line (the line with the largest amount of flow) in the overall power system z1 is opened, the current transmitted through the maximum current line flows along the bypass line ( That is, the flow of the current changes), and the next maximum current line through which the current flowing through the detour flows the most among the detour lines may be determined. Similarly, when the next maximum current line is opened, the next maximum current line may be sequentially determined. If this is repeated an appropriate number of times, a plurality of maximum current lines can be obtained, and when each maximum current line(s) is sequentially determined as the first to third boundary, the power system z1 is set to any one of the power generation stage and the load stage. It can be divided into multiple sub-power system(s) belonging to

5 is a detailed flowchart illustrating an embodiment of a power system clustering method.

In more detail, the divisions 200 and 400 for the (lower) power system may be performed as shown in FIG. 5 .

First, a line to be opened (hereinafter, an open line) among a plurality of target lines in the overall power system z1 may be determined ( 211 ). Determination of an open line can be performed through measurement. In this case, sets such as Equations 1 and 2 below may be defined for a target line and a line to be opened in the power system z1 , respectively.

[Equation 1]

[Equation 2]

Here, M is a set of target lines, and M_1 to M_n mean first to n target lines, respectively. O is a set of open lines (hereinafter, an open line set) among target lines, and O_1 to O_n mean first to n open lines, respectively. At the initial time point, M may be set to a set including all or some of the target lines M_1 to M_n in the power system z1, and O may be set to an empty set. When the divisions 200 and 400 are started, at least one line M_k may be determined as an open line for all the target lines M_1 to M_n in the power system z1 . According to an embodiment, the at least one line M_k to be initially determined as the open line (the first open line) is any one target line having the maximum current amount (hereinafter, the mth maximum target line (m is a natural number equal to or greater than 1)). may include The mth maximum target line is recorded and updated in the open line set O. Accordingly, O is updated to {O_1} (O_1 = M_k). In addition, in the target line set M, the mth maximum target line included in the open line set O is removed. Therefore, the target line set M is {M_1, M_2, ... , M_(k-1), M_(k+1), ... , M_n}. When segmentation for the widest range of power system z1 is first performed, a first maximum current line M_max1 is determined among all target lines M_1 to M_n in the power system z1, and the first maximum current line (M_max1) is added to the open line set O and removed from the target line set M.

Then, the first maximum current line (M_max1, O_1) may be opened actually or virtually (212). When the first maximum current line (M_max1, O_1) is opened, the power system (z1) is divided and at least one lower power system, for example, an isolation is formed in the next higher power system (z11, z12), and it is determined whether it is partitioned can be (213).

If at least one sub-power grid is not properly partitioned (No in 213), the remaining target lines (M_1, M_2, ..., M_(k-) 1), M_(k+1), ..., M_n) may be calculated ( 214 ). ..., M_n) may be calculated based on Equation 3 below.

[Equation 3]

Here, F^(1)_M is the amount of current after opening for the remaining target lines (M_1, M_2, …, M_(k-1), M_(k+1), …, M_n), and F^(0) _M is the amount of current before opening for the remaining target lines (M_1, M_2, …, M_(k-1), M_(k+1), …, M_n), and F^(0)_O is the amount of current before opening ( M_k, for example, is the tidal flow rate of the m-th maximum current line). λ_MO is a set of line outage distribution factors (LODFs), and may be calculated by, for example, Equation 4 below.

[Equation 4]

In Equation 4, E is an identity matrix, and Φ_M,O and Φ_O,O are sets of Φ_M_i,O_j and Φ_O_i,O_j, respectively, and may be given as a matrix as shown in Equations 5 and 6 below.

[Equation 5]

[Equation 6]

In Equation 5, Φ_M_iO_j denotes the amount of change in the current of the other line M_i when any one of the j-th open lines O_j is opened, and Φ_O_iO_j denotes the amount of change in the current of the other open lines O_i when any one of the j-th open lines O_j is opened. it means. Each of Φ_M_iO_j and Φ_O_iO_j may be calculated and obtained using Equations 7 and 8 below.

[Equation 7]

[Equation 8]

In Equation 7, M_i,s denotes a transmitting end of the i-th target line M_i, and M_i,r denotes a receiving end of the i-th target line M_i. Similarly, in Equation 8, O_i,s denotes the transmitting end of the i-th open line O_i, and O_i,s denotes the receiving end of the i-th open line O_i. π_M_i, s^O_j, π_M_i, r^O_j, π_O_i, s^O_j, and π_O_i, r^O_j, respectively, sequentially indicate the amount of current at the power transmission end of the i-th target line M_i when the j-th open line O_j is opened. , means the current flow at the receiving end of the i-th target line M_i, the current flow at the transmitting end of the i-th open line O_i, and the current flow at the receiving end of the i-th open line O_i.

In other words, after the first maximum current line (M_max1) is opened, the current flow rate (F^(1) for the remaining target lines (M_1, M_2, ..., M_(k-1), M_(k+1), ..., M_n) )_M) is the open line before opening (F^(0)_O) of the disconnection distribution element (λ_MO) obtained as the basis of each target line (M_i) and the open line (O_i) when the jth open line O_j is opened. It may be obtained by weighting the tidal flow of , and adding it to the tidal flow before opening (F^(0)_M). At least one of Equations 4 to 8 in the above-described tidal flow (F^(1)_M) calculation process precedes, follows, or follows in the first maximum tidal current line opening process 212 or segmentation determination process 213 or simultaneously. According to the embodiment, the current flow (F^(1)_M) calculation process for the remaining target lines (M_1, M_2, ..., M_(k-1), M_(k+1), ..., M_n) (214) Different from that shown in FIG. 5 , it is also possible to perform the partitioning decision 213 before or simultaneously with the determination 213 .

When the current flow F^(1)_M for the remaining target lines M_1, M_2, ..., M_(k-1), M_(k+1), ..., M_n is calculated, the calculated current flow F Based on ^(1)_M), the next open line (M_l, second open line) among the remaining target lines (M_1, M_2, …, M_(k-1), M_(k+1), …, M_n) is may be determined (215, 216). Here, in the second open line M_l, according to an embodiment, the largest current flows among the remaining target lines M_1, M_2, ..., M_(k-1), M_(k+1), ..., M_n). It may include a maximum current line (hereinafter referred to as a second maximum current line, M_max2). The determination process 216 of the second open line (M_l, for example, the second maximum current line (M_max2)) includes the determination process 211 of the first open line (M_k, for example, the first maximum current line (M_max1)) and It may be performed the same or some differently. That is, the second maximum current line (M_max2) with the largest current amount measured from among the remaining target lines (M_1, M_2, ..., M_(k-1), M_(k+1), ..., M_n) is opened as a second opening. The second open line M_l determined and determined as the line M_l is removed from the target line set M and added to the open line set O. Accordingly, the target line set M is, if l is greater than k, {M_1, M_2, ... , M_(k-1), M_(k+1), ... , M_(l-1), M_(l+1), ... , M_n}, and the open line set O may be updated as {O_1, O_2} (O_2=M_l). In the same manner as described above, the second open line M_l is opened (212), and then, it may be determined whether the second open line M_l is partitioned (ie, whether isolation occurs) (213). If it is not determined that the power systems z11 and z12 are partitioned (NO in 213), the target line set M updated by the addition and removal of the second open line M_l as described above, and the second open line M_l ), the disconnection distribution element (λ_MO) is calculated again before or after determination or opening based on the updated open line set O according to the addition of the second open line, using the calculated disconnection element (λ_MO) again Remaining target lines M_1, M_2, …, M_(k-1), M_(k+1), …, M_(l-1), M_(l+1), …, M_n after opening of (M_l) ) may be calculated ( 214 ) the amount of tidal current F^(1)_M. In this case, Equations 3 to 8 may be used.

Then, the amount of current for the remaining target lines (M_1, M_2, …, M_(k-1), M_(k+1), …, M_(l-1), M_(l+1), …, M_n) When (F^(1)_M) is calculated, the remaining target line using the current amount F^(1)_M) The remaining target line (M_1, M_2, ..., M_(k-1), M_(k+1) ( 215, 216). Here, the third open line M_m is also the remaining target lines M_1, M_2, ..., M_(k-1), M_(k+1), ..., M_(l-1), M_(l+1), . can be In this process, the target line set M and the open line set O are {M_1, M_2, … , M_(k-1), M_(k+1), ... , M_(l-1), M_(l+1), ... , M_(m-1), M_(m+1), ... , M_n} and {O_1, O_2, O_3} (assuming m is greater than l. O_3 = M_m). Similarly, the third open line M_m is opened (212), and it may be sequentially determined whether isolation and partitioning within the power system z1 are (213). If it is determined that the isolation and compartmentalization have not yet been performed (No of 213), the above-described processes 214 to 216 and 212 may be repeatedly performed continuously.

Conversely, if at least one sub-power system is partitioned (Yes of 213), the isolated zone is partitioned for the power systems (z11, z12, z12-1 to 12-3) as shown in FIG. 2 or FIG. 3 . It is determined that there is, and the partitioning process 200 and 240 for the upper power system z1 or the lower power system z11, z12, z12-1 to z12-3, etc. may be terminated (217). As described with reference to FIG. 2 , if the number of partitioned power systems according to the partitioning is smaller than the target partitioning number Nc, the partitioned power systems (for example, the next higher power system (z11, z12), the next higher power system (z12-1) to z12-3) and/or the subordinate power system(s) of the next higher power system (z12-1 to z12-3), etc., the compartmentalization as shown in FIG. 5 may be repeatedly performed (300, 400). ). Accordingly, the division of the power system z1 as shown in FIGS. 3 and 4 can be performed only by using only the initial snapshot data, so that it is possible to repeatedly open the line and perform the tidal current calculation process. becomes unnecessary.

6 is a flowchart of an embodiment of a method for clustering based on probability. FIG. 7 is a first diagram illustrating an embodiment of a probability-based clustering process, and FIG. 8 is a second diagram illustrating an embodiment of a probability-based clustering process. 9 shows an example of a clustering result performed based on a 90% probability, and FIG. 10 shows an example of a clustering result performed based on a 70% probability. 11 shows an example of a clustering result performed based on a 50% probability.

The above-described partitioning result may be variously changed according to a system scenario. These changes are particularly greatly affected by the availability of a number of Renewable Energy Sources (RES), and uncertainty increases accordingly. In order to solve this problem, the above-described partitioning of the power system z1 may be performed probabilistically. According to one embodiment, as described above, the division of the power system z1 is repeatedly performed according to the target number of divisions (Nc), but such division is stopped according to the clustering probability (p_c) between the busbars. can

As shown in FIGS. 6 and 7 , first, a plurality of partitioning may be performed with different methods for at least one power system z1 based on random sampling ( 610 ). According to an embodiment, a plurality of partitioning may be performed by employing a Monte-Carlo simulation (MCS). The Monte Carlo simulation technique is a method for repeatedly extracting random numbers (random sampling) and obtaining approximate solutions to the problem based on this. This Monte Carlo simulation technique is expressed probabilistically, such as a power source (eg, a wind power plant or a solar power plant, etc.) in which the production of electrical energy is variable or a load (eg, home appliances, etc.) whose use is variable. The possible element(s) may be applied to the power grid z1. According to the application of the Monte Carlo simulation technique, as shown in FIG. 7 , a plurality of power system partitioning results (z2 to zh) may be obtained. Each power system partitioning result (z2 to zh) may be entirely or partially different from each other.

Subsequently, as shown in FIG. 8 , a combination probability P for a plurality of power systems (z2 to zh) partitioning results may be obtained ( 620 ). The coupling probability P may be given as in Equation 9 below, and may be expressed in the form of a matrix.

[Equation 9]

Here, p_jk means the probability that the j-th bus and the k-th bus bar are tied to each other and partitioned within a given line (z2 to zh) (hereinafter referred to as aggregation probability). If j and k are the same, it is defined as 1 because it is the probability that any one of the same busbars is bound.

When the joint probability (P) is obtained, probabilistic partitioning is sequentially performed using the joint probability (P) based on the partition probability (p_c) defined by a user or a designer in advance or afterward, and, accordingly, As shown in FIGS. 9 to 11 , partitioned power systems zp-1 to zp-3 may be obtained ( 630 ). In this case, each partition (cluster)(s) divided within each power system zp-1 to zp-3 may be determined to have a different shape or size according to the partition probability p_c. For example, as the partition probability (p_c) increases, the size of each partition is obtained relatively small, and the characteristic of the partition (eg, whether it is a power generation stage or a load stage) appears relatively strongly, and conversely, the partition probability As (p_c) is smaller, the size of each section is obtained relatively large, and the characteristic of the section is relatively weak. More specifically, for example, if the partition probability p_c is determined to be 90% as shown in FIG. 9 , the size of each partition(s) of the power system zp-1 is relatively small, and As shown, if the partition probability p_c is given as 70%, each partition(s) in the power system zp-2 is partitioned relatively larger than the partition with a partition probability p_c of 90%, FIG. 11 As shown in, if the partition probability (p_c) is 50%, each partition(s) in the power system zp-3 is a partition with a partition probability (p_c) of 90% or a partition with a partition probability (p_c) of 70% obtained relatively larger than In this case, some busbars zp-11 in the power system (eg zp-1) may not belong to any division.

A characteristic of each partition may be further determined for each partition(s) obtained as described above. For example, a review may be further performed as to whether each section stochastically belongs to a power generation stage, to a load stage, or not to either the generation stage or the load stage. In this case, the characteristics of each compartment may be determined based on the average amount of power generation and load inside each compartment. This may be obtained, for example, by calculating the following Equation (10).

[Equation 10]

In Equation 10, P_gen,cluster denotes the average amount of power generation in the compartment, and P_Load,cluster denotes the average load in the compartment. According to Equation 10, if the average power generation amount (P_gen,cluster) in any one section is greater than the average load amount (P_Load,cluster) in the section, the section is determined as a power generation stage, and on the contrary, the average power generation amount ( If P_gen,cluster) is less than the average load (P_Load,cluster) in the corresponding section, the corresponding section is determined as a load end. If the average generation amount (P_gen,cluster) and the average load amount (P_Load,cluster) in a section are the same, the section may be determined as the power generation stage or the load stage, depending on the designer or user's selection, and does not belong anywhere. It may be decided not to. Due to the probabilistic characteristic, at least one specific section may belong to either the power generation stage or the load stage depending on the situation or the condition of the power system z1. These specific compartments may be managed separately.

The power system clustering method according to the above-described embodiment may be implemented in the form of a program that can be driven by a computer device. Here, the program may include program instructions, data files, and data structures alone or in combination. The program may be designed and manufactured using machine code or high-level language code. The program may be specially designed to implement the above-described method, or may be implemented using various functions or definitions that are known and available to those skilled in the art of computer software. In addition, the computer device may be implemented by including a processor or memory for realizing a function of a program for performing the power system clustering method, and may further include a communication device if necessary. In addition, the program for implementing the above-described power system clustering method is recorded in a computer-readable recording medium or may be recorded. The computer-readable recording medium includes, for example, a semiconductor storage device such as a solid state drive (SSD), a ROM, a RAM or a flash memory, a magnetic disk storage medium such as a hard disk or a floppy disk, a compact disk or a DVD, etc. It may include at least one type of physical device capable of storing a specific program executed in response to a call from a computer, such as an optical recording medium, a magneto-optical recording medium such as a floppy disk, and a magnetic tape.

Hereinafter, an embodiment of the power system clustering device will be described with reference to FIG. 12 .

12 is a block diagram of an embodiment of a power system clustering apparatus.

12 , the power system clustering apparatus 100 may include an input unit 101 , an output unit 102 , a storage unit 105 , and a processor 110 , according to an embodiment. At least two of the input unit 101 , the output unit 102 , the storage unit 105 , and the processor 110 are provided to transmit data, commands/instructions, etc. to each other or to one side based on an electrical signal.

The input unit 101 may receive information on each line in the power system z1, z11, z12, z12-1 to z12-3, and, for example, measure the amount of current flowing through each line. It is possible to receive the result or whether each line is open or not. The measurement result of the current amount or whether it is open may be data acquired by a sensor installed on each track. In addition, the input unit 101 receives commands/instructions, data and/or programs (which can be expressed as apps, applications, etc.), etc., by manipulation of a user or a designer or from another external electronic device (not shown) as needed. may be The reception result of the input unit 101 may be transmitted to the processor 110 or the storage unit 105 . According to an embodiment, the input unit 101 may be provided integrally with the power system clustering device 100 or may be provided to be physically separable. The input unit 101 may be, for example, a keyboard, a mouse, a tablet, a touch screen, a touch pad, a trackball, a trackpad, a scanner device, an image capturing module, a motion detection sensor, a pressure sensor, a proximity sensor, a microphone, and another external device. A data input/output terminal capable of receiving data from an electronic device (eg, a portable memory device, etc.) and/or a communication module connected to another external electronic device (eg, a server device, etc.) through a wired or wireless communication network ( As an example, it may include a LAN card, a short-range communication module, a mobile communication module, etc.), but is not limited thereto.

The output unit 102, for example, outputs information required by a user or a designer, such as a segmentation result for one or more power systems z1 processed by the processor 110 to the outside, visually or audibly, and / Alternatively, such information may be transmitted to another external electronic device. Another external electronic device, for example, receives the segmentation result for one or more power systems z1, and receives the results from the power generation sources (G1 to G10, etc.) or busbars (1 to 38) of at least one power system z1. ) can also be used for control or management. According to an embodiment, the output unit 102 may be provided integrally with the power system clustering device 100 or may be provided to be physically separable. The output unit 102 may include a display device (such as a monitor device or a digital television), a printer device, a speaker device, an image output terminal, a data input/output terminal, and/or a wired or wireless communication module, depending on the embodiment. , but is not limited thereto.

The storage unit 105 may temporarily or non-temporarily store data or programs necessary for the operation of the power system clustering apparatus 100 . Here, the data includes, for example, information about the overall power system z1, information about at least one power generation source G1 to G10 in the power system z1, and at least one busbar 1 in the power system z1. to 38), information about each line in the power system z1, the measurement result for the amount of current flowing in each line, whether each line is open, the division coefficient Nc, and the processor 110 Temporarily or non-temporarily store various calculation results calculated in the partitioning process by can The program stored in the storage unit 105 may be directly written or modified by a designer, or acquired or updated through an electronic software distribution network accessible through a wired or wireless communication network. The storage unit 105 may provide necessary data or a program to the processor 110 according to a call of the processor 110 , and may receive and store an operation result (eg, a partitioning result, etc.) from the processor 110 . The storage unit 105 may include, for example, at least one of a main memory device and an auxiliary memory device.

The processor 110 may perform partitioning on at least one given power system (z1, etc.), and may perform partitioning on a plurality of power systems (z1, etc.) simultaneously or sequentially if necessary. For example, the processor 110 performs partitioning for a given power system, for example, the widest range of the power system z1, and the obtained partitions are larger than the target number of partitions set automatically or manually by a user in advance. or whether they are the same, and sequentially repeating compartmentalization for each relative subdivision (eg, the next higher power system) according to the comparison result may be further performed or segmentation may be terminated. In addition, the processor 110 selects one or more first open lines (M_k, for example, the first maximum current line) from among the target lines M_1 to M_n in the power system z1 for partitioning the power system, and the first It is determined whether compartmentalization (i.e., isolation) has occurred according to the actual or virtual opening of the open track, and if compartmentalization has actually occurred, the division is terminated. After determining the next open line (M_l, for example, the second open line) among the lines, it is also possible to repeatedly determine whether segmentation occurs. The processor 110 may repeat the above-described process until partitioning is completed. According to an embodiment, the processor 110 may use the single line dispersion element λ_MO to perform the calculation of the current amount for the remaining target line. For example, the processor 110 calculates the current amount of the open line before opening F^(0)_O to which the disconnection distribution element λ_MO is weighted as described in Equation 3, the current amount before opening F^(0) )_M) to calculate the current amount for the remaining target line. In addition, according to an embodiment, the processor 110 performs a plurality of partitioning methods in different ways for at least one power system z1 using a Monte Carlo simulation technique, etc., and partitions the plurality of power systems z2 to zh. After obtaining the combination probability P for the result, partitioning may be performed on at least one power system z1 based on the partition probability p_c defined by a user or designer. In addition, in this case, the processor 110 may determine a characteristic for each compartment as needed, for example, may classify each compartment into a power generation stage, a load stage, or the like. The above-described processor 110 may execute the program stored in the storage unit 105 to perform such operation(s). According to one embodiment, the processor 110, for example, a central processing unit (CPU, Central Processing Unit), a micro controller unit (MCU, Micro Controller Unit), a microcomputer (Micom, Micro Processor), an application processor (AP) , Application Processor), an electronic control unit (ECU, Electronic Controlling Unit), and/or other electronic devices capable of processing various calculations and generating control signals. These devices may be implemented using, for example, one or two or more semiconductor chips.

The above-described power system clustering device 100 is, according to an embodiment, a desktop computer, a laptop computer, a server computer, a smart phone, a tablet PC, a smart watch, a head mounted display (HMD) device, a navigation device, a portable device Game consoles, personal digital assistants (PDA), digital televisions, set-top boxes, artificial intelligence sound reproduction devices (artificial intelligence speakers), home appliances (refrigerators or washing machines, etc.), manned vehicles (cars, buses, motorcycles, etc.) vehicle, etc.), an unmanned moving object (robot cleaner, etc.), a manned air vehicle, an unmanned air vehicle (drone, etc.), a household or industrial robot, or an industrial machine, but is not limited thereto. A designer, a user, or the like, may consider at least one of devices capable of processing and controlling information in addition to the above-described devices as the above-described power system clustering device 100 according to circumstances or conditions. In addition, the above-described power system clustering apparatus 100 may be physically implemented using one electronic device, or may be implemented using two or more physically separated electronic devices. When the power system clustering apparatus 100 is implemented using two or more electronic devices, each electronic device may perform the same operation or different operations. For example, each electronic device may obtain different power system partitioning results z2 to zh by performing partitioning on the same power system z1 based on different random sampling results.

Although various embodiments of the power system clustering method and apparatus have been described above, the power system clustering method and apparatus are not limited only to the above-described embodiments. Various power systems and power system clustering devices or methods that can be implemented by those skilled in the art by modifying and modifying based on the above-described embodiments may also be examples of the above-described methods and devices. For example, the described techniques are performed in an order different from the described method, and/or the described components of the system, structure, apparatus, circuit, etc. are combined or combined in a different form than the described method, or other components or Even if it is substituted or substituted by an equivalent, it may be an embodiment of the power system clustering method and apparatus described above.

100: power system clustering device 101: input unit
102: output unit 105: storage unit
110: processor

Claims (15)

selecting at least one first open line among a plurality of target lines in the power system;
opening the at least one first open line;
determining whether to partition the power system according to the opening of the at least one first open line;
if the power system is not partitioned, obtaining a current quantity for a plurality of remaining target lines other than the at least one open line;
selecting at least one second open line from among the plurality of remaining target lines based on the flow rate;
opening the at least one second development line; and
and determining whether to partition the power system according to the opening of the at least one second development line. According to claim 1,
The first open line includes a first maximum current line having a maximum power flow among the plurality of target lines, or
The second open line includes a second maximum current line having a maximum power flow among the plurality of remaining target lines. According to claim 1,
The step of acquiring a current quantity for a plurality of remaining target lines other than the at least one open line includes:
A plurality of other than the at least one open line is calculated by calculating the sum of the current amount before the first open line opening for the first open line and the current amount before the first open line opening for the other plurality of remaining target lines. A power system clustering method comprising: obtaining a current flow rate for the remaining target line, and adding a disconnection distribution factor to the current flow amount before the first open line opening with respect to the first open line. 4. The method of claim 3,
The disconnection distribution element is a power system clustering method that is calculated based on the amount of change in the current of the other remaining target line when the first open line is opened and the amount of change in the current of the other open line when the first open line is opened. According to claim 1,
when the power system is partitioned, comparing the number of partitions with the target number of partitions; and
When the number of partitions is smaller than the target number of partitions, the step of further partitioning the lower power system with respect to the power system; Power system clustering method further comprising a. The method of claim 1,
further performing a plurality of different compartmentalizations for the power grid;
obtaining a coupling probability for a plurality of partitioning results for the power system; and
The power system clustering method further comprising; performing the probabilistic partitioning of the power system based on the partition probability using the combination probability. 7. The method of claim 6,
The power system clustering method further comprising; determining the characteristics of each partition according to the probabilistic partitioning result. a storage unit for storing information about the power system; and
Selecting at least one first open line among a plurality of target lines in the power system, determining whether to partition the power system according to the opening of the at least one first open line, and if the power system is not partitioned, obtaining a current quantity of a plurality of remaining target lines other than the at least one open line, selecting at least one second open line from among the other plurality of remaining target lines based on the current quantity, and the at least one A power system clustering device comprising a; a processor for determining whether the power system is divided according to the opening of the second development line of 9. The method of claim 8,
The first open line includes a first maximum current line having a maximum power flow among the plurality of target lines, or
The second open line, the power system clustering device comprising a second maximum current line having a maximum power flow among the plurality of remaining target lines. 9. The method of claim 8,
The processor is configured to calculate a sum of the current amount before the first open line opening with respect to the first open line and the current amount before the first open line opening with respect to the plurality of other remaining target lines other than the at least one open line. A power system clustering device in which a current flow rate for a plurality of remaining target lines of 11. The method of claim 10,
The processor is a power system clustering device for calculating the disconnection distribution element based on a change amount of a current of another target line when the first open line is opened and a change amount of a current of another open line when the first open line is opened . 9. The method of claim 8,
The processor, if the power system is partitioned, compares the number of partitions with the target number of partitions, and when the number of partitions is smaller than the target number of partitions, further partitioning the lower power system for the power system Power grid clustering device. 9. The method of claim 8,
The processor further performs a plurality of different partitioning for the power system, obtains a combination probability for a plurality of partitioning results for the power system, and uses the combination probability to the power system based on the partition probability. A power system clustering device that performs stochastic compartmentalization for 14. The method of claim 13,
The processor is a power system clustering device for determining a characteristic of each partition according to a probabilistic partitioning result. performing a plurality of different compartmentalizations for at least one power grid;
obtaining a coupling probability for a plurality of partitioning results for the power system; and
and performing probabilistic partitioning on the power grid based on partition probability using the combination probability.

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