CN112668747A - Optimal configuration method of harmonic source positioning measurement device considering measurement redundancy - Google Patents

Optimal configuration method of harmonic source positioning measurement device considering measurement redundancy Download PDF

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CN112668747A
CN112668747A CN202010810597.1A CN202010810597A CN112668747A CN 112668747 A CN112668747 A CN 112668747A CN 202010810597 A CN202010810597 A CN 202010810597A CN 112668747 A CN112668747 A CN 112668747A
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node
redundancy
matrix
power quality
measuring device
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常潇
李慧蓬
樊瑞
张敏
王金浩
亢银柱
雷达
李胜文
肖莹
杨赟磊
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Sichuan University
Electric Power Research Institute of State Grid Shanxi Electric Power Co Ltd
State Grid Shanxi Electric Power Co Ltd
Electric Power Research Institute of State Grid Fujian Electric Power Co Ltd
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Sichuan University
Electric Power Research Institute of State Grid Shanxi Electric Power Co Ltd
State Grid Shanxi Electric Power Co Ltd
Electric Power Research Institute of State Grid Fujian Electric Power Co Ltd
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Abstract

The invention discloses a method for optimally configuring a harmonic source positioning measuring device by considering measurement redundancy, which relates to the technical field of power quality measurement, and aims to optimize a configuration scheme of the power quality measuring device, wherein the method comprises the following steps: s1, constructing a node adjacent matrix and a zero injection matrix according to the system topology; s2, converting the node adjacent matrix by using the concept of Cuthill-Mckee, reducing the bandwidth of the matrix and improving the stability of the algorithm; s3, constructing a network topology fully observable formula according to the adjacent matrix; s4, obtaining an initial configuration scheme of the measuring device by using an improved minimum number generation algorithm; and S5, comparing the redundancy of the configuration scheme of the initial power quality monitoring device, and outputting the configuration scheme of the measuring device with the maximum total observation redundancy of the system.

Description

Optimal configuration method of harmonic source positioning measurement device considering measurement redundancy
Technical Field
The invention relates to the technical field of power quality measurement, in particular to an optimal configuration method of a harmonic source positioning measurement device considering measurement redundancy.
Background
With the use of a large number of nonlinear loads, more and more harmonics are injected into the power system, so that the power quality problem of the power system caused by harmonic pollution is more and more serious. With the development of power networks, modern power grids need higher real-time monitoring accuracy. Therefore, the application research of the electric energy quality measuring device in the electric power system in China is rapidly developed.
Considering from the aspects of economy, cost and the like, how to find the optimal power quality monitoring device configuration problem which enables the whole network to be completely observable and the system observation redundancy to be maximum becomes an important research subject at present. For a long time, scholars at home and abroad propose a plurality of optimization methods for monitoring device configuration, such as genetic algorithm, ant colony algorithm and particle swarm algorithm, and apply the modern optimization method to solve the optimal configuration of the measuring device. However, these methods have their own limitations. For example, genetic algorithms require the maintenance of large-scale populations, which take up a lot of space and time to run; the ant colony algorithm has the advantages of lacking initial pheromones, low convergence speed and easy falling into local optimization; the particle swarm algorithm is easy to precocious and converge, and has poor local optimizing capability.
Therefore, it is desirable to provide a new optimal configuration method for measurement points.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides an optimal configuration method of a harmonic source positioning measurement device considering measurement redundancy, which comprises the following steps:
s1: constructing an adjacent matrix A and a zero injection matrix ZI of a target network;
s2: converting the adjacent matrix A by using Cuthill-Mckee to reduce the bandwidth of the sparse matrix;
s3: constructing a constraint formula with a completely considerable system network topology;
s4: obtaining a configuration scheme of a plurality of groups of power quality monitoring devices by utilizing an improved minimum spanning tree algorithm;
s5: and comparing the redundancies of the multiple groups of power quality monitoring devices, and outputting the configuration scheme with the maximum redundancy.
Further, in S1:
Figure BDA0002627638020000021
ZI=[X1,X2,...,Xi,...,XN]Tis an N-dimensional column vector, where i is the system node number, and X is the zero injection node if the node is a zero injection nodeiI; otherwise, then Xi=0。
Further, in S2:
A1=PAPT
where A is the neighbor matrix of the node topology and P is dependent on the bandwidth of neighbor matrix A.
Further, in S3:
the constraint equation for network topology is considerable as follows:
Figure BDA0002627638020000022
Figure BDA0002627638020000023
in the formula (I), the compound is shown in the specification,
Figure BDA0002627638020000024
is composed of XiForming N-dimensional column vectors, wherein i is the serial number of a system node, and if the node is provided with a power quality monitoring device, X isi1 is ═ 1; otherwise Xi=0;
Figure BDA0002627638020000025
Are N-dimensional column vectors and the elements are all 1.
Further, in S4:
the improved minimum spanning tree algorithm is to continuously install the measuring device on the bus nodes which cannot be observed by the installed measuring device, and finally obtain a layout scheme of a plurality of groups of power quality monitoring devices.
Further, in S5:
for a grid system with N nodes, the node i redundancy is:
Figure BDA0002627638020000026
in the formula: i, j represents a node number; t isiIs the considerable degree of node i; a. thej,iIs a node adjacency matrix; x is the number ofi、xjIn which i andj is the serial number of the system node, if the node is provided with a power quality monitoring device, Xi1 or Xj1 is ═ 1; otherwise, then Xi0 or Xj0; thus, the total observation redundancy of a system of N nodes is
Figure BDA0002627638020000027
The invention has the beneficial effects that: the optimal configuration method of the harmonic source positioning measurement device considering the measurement redundancy can optimize the layout of the power quality monitoring device to obtain the position configuration of the optimal measurement device.
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FIG. 1 is a schematic flow diagram of the present invention;
fig. 2 is a topology diagram of an IEEE14 node system.
Detailed Description
The technical solutions of the present invention are further described in detail below with reference to the accompanying drawings, but the scope of the present invention is not limited to the following.
Referring to fig. 1, fig. 2 is a topology diagram of an IEEE14 node, referring to fig. 1, and the method for optimally configuring a harmonic source location measurement apparatus considering measurement redundancy includes the following steps:
s1: and constructing an adjacent matrix A and a zero injection matrix ZI of the target network.
Figure BDA0002627638020000031
ZI=[0 0 0 0 0 0 7 0 0 0 0 0 0 0];
S2: converting the matrix A by using a Cuthill-Mckee method, wherein the conversion result is as follows:
Figure BDA0002627638020000041
s3: from the topology of IEEE14, a system full observability constraint formula is:
Figure BDA0002627638020000042
in the formula, each xi,jThe element denoted 1, the symbol "+" here really means the logical operation "OR", fi≧ 1 indicates that there is at least one non-zero value in the ith row in the adjacent matrix A. Power network node observability principle: if a certain bus node is provided with a measuring device, the node can be observed; if a bus node at one end of a certain branch is provided with a measuring device, the voltage phasor of the adjacent node can be calculated by using the ohm law, so that the adjacent node is also considerable; if a certain node is a zero injection node and the number of adjacent nodes is K, then according to ohm's law and kirchhoff's law, if K is considerable for the K +1 nodes, the rest nodes are also considerable.
S4: continuously installing the measuring device on the bus nodes which cannot be observed by the installed measuring device by utilizing an improved minimum spanning tree algorithm, and finally obtaining an initial measuring device configuration scheme; and (3) an improved minimum spanning tree algorithm, namely, the measuring device is continuously installed only on the bus nodes which cannot be observed by the installed measuring device, and finally, a layout scheme of a plurality of groups of power quality monitoring devices is obtained.
S5: and comparing the redundancies of the multiple groups of power quality monitoring devices, and outputting a configuration scheme with the maximum total observation redundancy of the system.
Figure BDA0002627638020000043
For the maximum redundancy value in the IEEE14 node optimal configuration scheme, the optimal configuration scheme of the power quality monitoring device is obtained, as shown in table 1:
table 1 optimal configuration scheme of IEEE14 node of the present invention
Figure BDA0002627638020000051
Comparing the method provided by the invention with the optimal configuration scheme of the measuring device when the redundancy is considered on the IEEE14 node by the genetic algorithm, the ant colony algorithm and the particle swarm algorithm, it can be seen that the invention can obtain a more superior configuration scheme under the condition of ensuring the complete considerable power system, and the comparison result is shown in Table 2:
TABLE 2 comparison of the results of the present invention with other algorithms
Figure BDA0002627638020000052
The foregoing is illustrative of the preferred embodiments of this invention, and it is to be understood that the invention is not limited to the precise form disclosed herein and that various other combinations, modifications, and environments may be resorted to, falling within the scope of the concept as disclosed herein, either as described above or as apparent to those skilled in the relevant art. And that modifications and variations may be effected by those skilled in the art without departing from the spirit and scope of the invention as defined by the appended claims.

Claims (6)

1. The optimal configuration method of the harmonic source positioning measuring device considering the measurement redundancy is characterized by comprising the following steps of:
s1: constructing an adjacent matrix A and a zero injection matrix ZI of a target network;
s2: converting the adjacent matrix A by using Cuthill-Mckee to reduce the bandwidth of the sparse matrix;
s3: constructing a constraint formula with a completely considerable system network topology;
s4: obtaining a configuration scheme of a plurality of groups of power quality monitoring devices by utilizing an improved minimum spanning tree algorithm;
s5: and comparing the redundancies of the multiple groups of power quality monitoring devices, and outputting the configuration scheme with the maximum redundancy.
2. The method of claim 1, wherein in step S1:
Figure RE-FDA0002803725680000011
ZI=[X1,X2,...,Xi,...,XN]Tis an N-dimensional column vector, where i is the system node number, and X is the zero injection node if the node is a zero injection nodeiI; otherwise, then Xi=0。
3. The method of optimally configuring the harmonic source location measurement device with consideration of measurement redundancy in accordance with any one of claims 1 to 2, wherein in the step S2:
A1=PAPT
where A is the neighbor matrix of the node topology and P is dependent on the bandwidth of neighbor matrix A.
4. The method of any one of claims 1 to 3, wherein in the step S3:
the constraint equation for network topology is considerable as follows:
Figure RE-FDA0002803725680000012
Figure RE-FDA0002803725680000013
in the formula (I), the compound is shown in the specification,
Figure RE-FDA0002803725680000014
is composed of XiForming N-dimensional column vectors, wherein i is the serial number of a system node, and if the node is provided with a power quality monitoring device, X isi1 is ═ 1; otherwise Xi=0;
Figure RE-FDA0002803725680000015
Are N-dimensional column vectors and the elements are all 1.
5. The method of any one of claims 1 to 4, wherein in the step S4:
the improved minimum spanning tree algorithm is to continuously install the measuring device on the bus nodes which cannot be observed by the installed measuring device, and finally obtain a layout scheme of a plurality of groups of power quality monitoring devices.
6. The method of any one of claims 1 to 5, wherein in step S5:
for a grid system with N nodes, the node i redundancy is:
Figure RE-FDA0002803725680000021
in the formula: i, j represents a node number; t isiIs the considerable degree of node i; a. thej,iIs a node adjacency matrix; x is the number ofi、xjAnd the numbers of the system nodes are in the intermediate i and j, and if the node is provided with a power quality monitoring device, the number of the system node is Xi1 or Xj1 is ═ 1; otherwise, then Xi0 or Xj0; thus, the total observation redundancy of a system of N nodes is
Figure RE-FDA0002803725680000022
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111612225A (en) * 2020-05-08 2020-09-01 国网山西省电力公司电力科学研究院 Optimal configuration method of harmonic wave measuring device

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106099915A (en) * 2016-06-29 2016-11-09 济南大学 Based on topological model and the extra PMU Optimal Configuration Method of singular value decomposition
CN110018346A (en) * 2019-04-19 2019-07-16 南京工程学院 A kind of measure configuration method of harmonic state estimation
CN111460374A (en) * 2020-04-10 2020-07-28 南方电网科学研究院有限责任公司 Power distribution network D-PMU optimal configuration method considering node differences

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106099915A (en) * 2016-06-29 2016-11-09 济南大学 Based on topological model and the extra PMU Optimal Configuration Method of singular value decomposition
CN110018346A (en) * 2019-04-19 2019-07-16 南京工程学院 A kind of measure configuration method of harmonic state estimation
CN111460374A (en) * 2020-04-10 2020-07-28 南方电网科学研究院有限责任公司 Power distribution network D-PMU optimal configuration method considering node differences

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
刘小江等: "基于网络拓扑的谐波状态估计量测点最优配置", 《电力系统保护与控制》 *
吴霜等: "考虑量测冗余度的多阶段PMU优化配置", 《河海大学学报(自然科学版)》 *
李炜 等: "配电网谐波量测装置最优配置方法", 《电力工程技术》 *
王洪玉: "PMU优化配置的研究", 《中国优秀硕士学位论文全文数据库 工程科技Ⅱ辑》 *

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111612225A (en) * 2020-05-08 2020-09-01 国网山西省电力公司电力科学研究院 Optimal configuration method of harmonic wave measuring device

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Application publication date: 20210416