CN102842908B - Three-phase decoupling power flow calculation method for power distribution network containing multiple transformer branches - Google Patents

Three-phase decoupling power flow calculation method for power distribution network containing multiple transformer branches Download PDF

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CN102842908B
CN102842908B CN201210335586.8A CN201210335586A CN102842908B CN 102842908 B CN102842908 B CN 102842908B CN 201210335586 A CN201210335586 A CN 201210335586A CN 102842908 B CN102842908 B CN 102842908B
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sequence
node
phase
matrix
network model
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CN102842908A (en
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杨雄
卫志农
孙国强
孙永辉
韦延方
袁阳
陆子刚
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Hohai University HHU
Wuxi Power Supply Co of Jiangsu Electric Power Co
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Abstract

The invention discloses a three-phase decoupling power flow calculation method for a power distribution network containing multiple transformer branches. According to the characteristics of basically symmetrical three-phase line parameters, unbalanced three-phase load and the tree structure of the power distribution network, the method comprises the following steps: performing sequence component decoupling on the three-phase unbalanced network of the power distribution network by a symmetrical component method; in a power distribution three-sequence network model, transforming the transformer branches into the common branches by a phase transformation technology; and calculating the sequence network power flow of the power distribution system by a path matrix-based loop analysis method and transforming sequence component power flow into phase component power flow by an inverse transformation principle so as to realize three-phase decoupling power flow calculation of the three-phase unbalanced system of the power distribution network containing multiple transformer branches and reduce calculated quantity. The method is clear in calculation process, simple in programming and high in calculation speed. The correctness and high convergence property of the method are verified through 34 bus test calculation examples. The method has high generality and practicability.

Description

Three-phase decoupling load flow calculation method for power distribution network containing multiple transformer branches
Technical Field
The invention relates to a three-phase decoupling load flow calculation method for a power distribution network containing multiple transformer branches, and belongs to the field of analysis and calculation of power systems.
Background
The power distribution network flow calculation is always a hotspot of academic research for many years, and is a basis for power distribution network analysis. Because the characteristics of the power distribution network are different from those of the power transmission network, the power distribution network generally has the characteristics of higher R/X ratio, unbalanced three phases and a tree-shaped network structure with closed-loop design and open-loop operation, the traditional power transmission network power flow algorithm cannot be directly applied to the power distribution network. Scholars at home and abroad propose various power distribution network trend algorithms according to the characteristics of a power distribution network, such as a forward-backward substitution method, an implicit Zbus Gaussian method, a loop impedance method, an improved Newton method, a rapid decoupling method and the like. The forward-backward substitution method fully utilizes the structural characteristics of the power distribution network, and has the advantages of clear physical concept, simple programming, no large matrix calculation, high calculation speed, good convergence, suitability for solving the radial power distribution network load flow and the like, so that the forward-backward substitution method is widely applied. The line parameters in a distribution network are basically spatially symmetrical, which is generally characterized by the presence of a three-phase imbalance on the load.
Disclosure of Invention
The purpose of the invention is as follows: aiming at the problems and the defects in the prior art, the invention provides a three-phase decoupling load flow calculation method for a power distribution network with multiple transformer branches.
The technical scheme is as follows: a three-phase decoupling load flow calculation method for a power distribution network containing multiple transformer branches comprises the following steps:
1) the initial node is a power supply and is used as a reference node, and the three-phase voltage phasor matrix of the power supply node is(3 x 1 order), each node three-phase voltage phasor matrix is(3n x 1 order), in the distribution system sequence network, the three-sequence voltage matrix of the power source node can be obtained as(3 x 1 order) and a three-sequence voltage matrix of each node is(3n × 1 order). Wherein, let a ═ ej2π/3 A = 1 3 1 1 1 1 a a 2 1 a 2 a , A - 1 = 1 1 1 1 a 2 a 1 a a 2 ; And n is the number of the independent nodes, and the number of the independent branches is b ═ n. That is, for a three-phase radial (tree) distribution network having N nodes, assuming that the first node is a power source and serves as a reference node, the number of independent nodes is N-1, and the number of independent branches is N.
2) Correspondingly dividing the power distribution network into K blocks of areas according to the number K of transformers in the power distribution network, and sequentially calculating a phase transformation matrix theta of each block of area according to reference nodes and the wiring mode of each transformerkAnd calculating a decoupling transformation matrix A of each block areak=ΘkA (3 × 3 steps). Wherein K represents the kth block area in the power distribution network, and K belongs to {1,2, …, K }; theta is a phase transformation matrix which is a 3 x 3 diagonal matrix, andθ0、θ1and theta2Zero sequence, positive sequence and negative sequence phase shift quantities in the three-sequence network system are respectively shown, and subscripts of 0,1 and 2 respectively represent the zero sequence, the positive sequence and the negative sequence in the three-sequence network; can also find <math> <mrow> <msubsup> <mi>A</mi> <mi>k</mi> <mrow> <mo>-</mo> <mn>1</mn> </mrow> </msubsup> <mo>=</mo> <msup> <mi>A</mi> <mrow> <mo>-</mo> <mn>1</mn> </mrow> </msup> <msubsup> <mi>&Theta;</mi> <mi>k</mi> <mrow> <mo>-</mo> <mn>1</mn> </mrow> </msubsup> <mo>.</mo> </mrow> </math>
3) Calculating the network parameters of each sequenceIs a sequence impedance based on branch iForming a diagonal array (n × n order), wherein the superscript s is 0,1 and 2, and respectively represents a zero sequence, a positive sequence and a negative sequence in the sequence network modelAnd (4) sequencing network model. Three-phase impedance of branch iAssuming it belongs to the kth block region, thenWherein, Z bi 0,1,2 = Z bi 0 0 0 0 Z bi 1 0 0 0 Z bi 2 , Z bi a , b , c = Z iaa Z iab Z iac Z iba Z ibb Z ibc Z ica Z icb Z icc ; wherein A iskIs a decoupling transformation matrix of the region where the branch i is located.
4) Calculating road matrix T of each sequence network in each decoupled sequence network model circuits(ii) a And for nodes with zero injection sequence current, the road matrix T of each sequence networksDeleting the row corresponding to the node to form a new matrix Tsg. Where, subscript s is 0,1,2, which respectively represents the zero sequence, positive sequence and negative sequence networks in the sequence network model.
5) Calculating an impedance sensitivity matrix in each sequence net
6) Giving initial value to three-phase voltage of each node of power distribution networkWherein En=[E,E,…,E]TN total E, E being a 3X 3 identity matrix。
7) Calculating each phase current injected by the node i in d iterationsWhereinIs the injected power of each phase of node i, Yi pIs the sum of the parallel admittances of the node i, p is a, b, c, i is 1,2, …, m. m is the number of nodes with the node injection sequence current not being zero, and d is an iteration number variable.
8) Calculating each sequence current injected by the node i in d iterationsi is 1,2, …, m. Wherein A iskIs a decoupling transformation matrix of the area where the node i is located.
9) Calculating d iterationsWherein,and a new injection sequence current matrix (m × 1 order) formed by removing nodes with zero injection sequence current in d iterations, wherein m is the number of nodes with non-zero node injection sequence current, and the superscript s is 0,1 and 2, and respectively represents a zero sequence network model, a positive sequence network model and a negative sequence network model in the sequence network model.
10) Calculating d iterationsWherein 1 isn=[1,1,…,1]TN is 1; and s is 0,1 and 2, and respectively represents a zero sequence network model, a positive sequence network model and a negative sequence network model in the sequence network model.
11) Calculating node i three-phase voltage phasor in d iterations based on inverse transformationi is 1,2, …, n. Wherein A iskIs a decoupling transformation matrix of the area where the node i is located.
12) Judgment ofAndwhether the difference of the amplitude values meets the requirement of convergence precision or not meets the requirement of ending iteration; not satisfying go to step 7).
Has the advantages that: compared with the prior art, the three-phase decoupling load flow calculation method for the power distribution network containing the multi-transformer branch circuits, which is provided by the invention, combines a loop analysis method and a sequence component decoupling analysis method based on a road matrix, and simplifies the transformer removal by utilizing a phase transformation technology in a decoupling sequence network, thereby realizing the treatment of taking the transformer branch circuits as common branch circuits and realizing the three-phase load flow calculation of the power distribution network containing the multi-transformer branch circuits. On one hand, the three-phase decoupling load flow calculation by using the symmetric component method has good calculation advantages, and a group of asymmetric three-phase components of 'a', 'b' and 'c' can be decomposed into three groups of three-phase symmetric sequence components, so that the three-phase load flow calculation becomes calculation of one phase of the three groups of three-phase symmetric sequence components. Therefore, the calculation amount of the three-phase unbalanced power flow calculation of the power distribution network can be reduced 2/3, and under the condition that better convergence is kept, the calculation speed can be increased for the three-phase power flow calculation of the power distribution network. On the other hand, in the distribution sequence network, the conversion of the transformer branch into the common branch is easier, and no matter what wiring mode the transformer is in, the transformer branch can be converted into the common branch for calculation after being processed by the phase conversion technology. Therefore, the method has the advantages of less calculation amount, high calculation efficiency, and good universality and practicability. The whole calculation process is clear, programming is simple, and calculation speed is high. Finally, the correctness and good convergence of the invention are verified by 34 bus test examples.
Drawings
FIG. 1 is a flow chart of a method of the present invention;
FIG. 2 is a three-phase unbalanced distribution system with 34 bus lines including multiple transformer branches;
FIG. 3 is a three-phase voltage distribution diagram of each node after power flow convergence under the Case1 condition;
fig. 4 is a three-phase voltage distribution diagram of each node after power flow convergence under the Case5 condition.
Detailed Description
The present invention is further illustrated by the following examples, which are intended to be purely exemplary and are not intended to limit the scope of the invention, as various equivalent modifications of the invention will occur to those skilled in the art upon reading the present disclosure and fall within the scope of the appended claims.
Fig. 1 is a general flow chart of the present invention, which specifically includes the following steps:
1) the initial node is a power supply and is used as a reference node, and the three-phase voltage phasor matrix of the power supply node is(3 x 1 order), each node three-phase voltage phasor matrix is(3n x 1 order), in the distribution system sequence network, the three-sequence voltage matrix of the power source node can be obtained as(3 x 1 order) and a three-sequence voltage matrix of each node is(3n × 1 order). Wherein, let a ═ ej2π/3 A = 1 3 1 1 1 1 a a 2 1 a 2 a , A - 1 = 1 1 1 1 a 2 a 1 a a 2 ; n is the number of the independent nodes,the number of the independent branches is b ═ n. That is, for a three-phase radial (tree) distribution network having N nodes, assuming that the first node is a power source and serves as a reference node, the number of independent nodes is N-1, and the number of independent branches is N.
2) Correspondingly dividing the power distribution network into K blocks of areas according to the number K of transformers in the power distribution network, and sequentially calculating a phase transformation matrix theta of each block of area according to reference nodes and the wiring mode of each transformerkAnd calculating a decoupling transformation matrix A of each block areak=ΘkA (3 × 3 steps). Wherein K represents the kth block area in the power distribution network, and K belongs to {1,2, …, K }; theta is a phase transformation matrix which is a 3 x 3 diagonal matrix, andθ0、θ1and theta2Zero sequence, positive sequence and negative sequence phase shift quantities in the three-sequence network system are respectively shown, and subscripts of 0,1 and 2 respectively represent the zero sequence, the positive sequence and the negative sequence in the three-sequence network; can also find <math> <mrow> <msubsup> <mi>A</mi> <mi>k</mi> <mrow> <mo>-</mo> <mn>1</mn> </mrow> </msubsup> <mo>=</mo> <msup> <mi>A</mi> <mrow> <mo>-</mo> <mn>1</mn> </mrow> </msup> <msubsup> <mi>&Theta;</mi> <mi>k</mi> <mrow> <mo>-</mo> <mn>1</mn> </mrow> </msubsup> <mo>.</mo> </mrow> </math>
3) Calculating the network parameters of each sequenceIs a sequence impedance based on branch iAnd forming a diagonal array (n × n order), wherein the superscript s is 0,1 and 2, and respectively represents a zero sequence network model, a positive sequence network model and a negative sequence network model in the sequence network model. Three-phase impedance of branch iAssuming it belongs to the kth block region, thenWherein, Z bi 0,1,2 = Z bi 0 0 0 0 Z bi 1 0 0 0 Z bi 2 , Z bi a , b , c = Z iaa Z iab Z iac Z iba Z ibb Z ibc Z ica Z icb Z icc ; wherein A iskIs a decoupling transformation matrix of the region where the branch i is located.
4) Calculating road matrix T of each sequence network in each decoupled sequence network model circuits(ii) a And for nodes with zero injection sequence current, the road matrix T of each sequence networksDeleting the row corresponding to the node to form a new matrix Tsg. Where, subscript s is 0,1,2, which respectively represents the zero sequence, positive sequence and negative sequence networks in the sequence network model.
5) Calculating an impedance sensitivity matrix in each sequence net
6) Giving initial value to three-phase voltage of each node of power distribution networkWherein En=[E,E,…,E]TN total E, E being a 3 × 3 identity matrix.
7) Calculating d iteration time sectionsPhase current injected at point iWhereinIs the injected power of each phase of node i, Yi pIs the sum of the parallel admittances of the node i, p is a, b, c, i is 1,2, …, m. m is the number of nodes with the node injection sequence current not being zero, and d is an iteration number variable.
8) Calculating each sequence current injected by the node i in d iterationsi is 1,2, …, m. Wherein A iskIs a decoupling transformation matrix of the area where the node i is located.
9) Calculating d iterationsWherein,and a new injection sequence current matrix (m × 1 order) formed by removing nodes with zero injection sequence current in d iterations, wherein m is the number of nodes with non-zero node injection sequence current, and the superscript s is 0,1 and 2, and respectively represents a zero sequence network model, a positive sequence network model and a negative sequence network model in the sequence network model.
The formula in step 9) is derived as follows:
for a three-phase radial (tree) power distribution network with N nodes, assuming that a first node is a power supply and serves as a reference node, the number of independent nodes is N-1, and the number of independent branches is b-N. The road of a node is a branch set on a path which the node passes along the tree to the root, the road of the node emphasizes the branch on the path, the road of the node is unique for a given tree, the road of the node only consists of branch branches of the tree, and the road matrix T is used for describing the road. The road matrix T is an n × n-order matrix, assuming that the positive directions of the roads all point to nodes from power supply points, the positive directions of the branches are the same as the positive direction of the road, if the branch j is on the road i, T (i, j) is 1, otherwise T (i, j) is 0. The road matrix T is a sparse lower triangular matrix, and the memory requirement can be reduced by using a sparse technology.
In the distribution sequence network, it is providedThe node is injected with a sequence current vector matrix (n x 1 order), letIs a branch sequence current vector matrix (n multiplied by 1 order), and can obtain the road matrix of each sequence network as T in each decoupled sequence network model circuit0、T1And T2And branch sequence current according to KCL current lawAnd node injection sequence currentThe following equation is satisfied:
<math> <mrow> <msubsup> <mover> <mi>I</mi> <mo>&CenterDot;</mo> </mover> <mi>b</mi> <mi>s</mi> </msubsup> <mo>=</mo> <msubsup> <mi>T</mi> <mi>s</mi> <mi>T</mi> </msubsup> <msubsup> <mover> <mi>I</mi> <mo>&CenterDot;</mo> </mover> <mi>n</mi> <mi>s</mi> </msubsup> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>1</mn> <mo>)</mo> </mrow> </mrow> </math>
where, s is 0,1,2, which respectively represent the zero sequence, positive sequence and negative sequence networks in the sequence network model.
Formula (1) givesHowever, in the actual system, the injection sequence current does not exist in each node, and for the nodes with zero injection sequence current, the road matrix T in each sequence netsDeleting the row corresponding to the node to form a new matrix TsgWhen this time, the formula (1) becomes
<math> <mrow> <msubsup> <mover> <mi>I</mi> <mo>&CenterDot;</mo> </mover> <mi>b</mi> <mi>s</mi> </msubsup> <mo>=</mo> <msubsup> <mi>T</mi> <mi>sg</mi> <mi>T</mi> </msubsup> <msubsup> <mover> <mi>I</mi> <mo>&CenterDot;</mo> </mover> <mi>g</mi> <mi>s</mi> </msubsup> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>2</mn> <mo>)</mo> </mrow> </mrow> </math>
In the formula (2)In order to remove a new injection sequence current matrix (m multiplied by 1 order) formed after the nodes with injection sequence current of zero are removed, m is the number of the nodes with the injection sequence current of non-zero nodes.
For any radial distribution system sequence component circuit model, there are
<math> <mrow> <msubsup> <mover> <mi>U</mi> <mo>&CenterDot;</mo> </mover> <mi>b</mi> <mi>s</mi> </msubsup> <mo>=</mo> <msubsup> <mi>Z</mi> <mi>b</mi> <mi>s</mi> </msubsup> <msubsup> <mover> <mi>I</mi> <mo>&CenterDot;</mo> </mover> <mi>b</mi> <mi>s</mi> </msubsup> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>3</mn> <mo>)</mo> </mrow> </mrow> </math>
Wherein,a distribution network branch sequence voltage matrix (n multiplied by 1 order);is a sequence impedance based on branch iThe diagonal matrix (n × n order), s is 0,1,2, and represents the zero sequence, positive sequence, and negative sequence network models in the sequence network model, respectively.
Setting a three-phase voltage phasor matrix of a power supply node as(3 x 1 order), each node three-phase voltage phasor matrix is(3n x 1 order), in the distribution sequence network, a three-sequence voltage matrix of power source nodes can be obtained as(3 x 1 order) and a three-sequence voltage matrix of each node is(order 3n × 1), then, in each sequence network model, it can be known that the sequence voltage difference between any node and the power supply node is equal to the sum of branch sequence voltages of branches from the node to the power supply node along the road of the node, i.e. (set to 1)n=[1,1,…,1]TN is 1; s is 0,1,2, representing the zero, positive and negative sequence network models in the sequence network model, respectively):
<math> <mrow> <mi>&Delta;</mi> <msubsup> <mover> <mi>U</mi> <mo>&CenterDot;</mo> </mover> <mi>n</mi> <mi>s</mi> </msubsup> <mo>=</mo> <msub> <mn>1</mn> <mi>n</mi> </msub> <msubsup> <mover> <mi>U</mi> <mo>&CenterDot;</mo> </mover> <mn>0</mn> <mi>s</mi> </msubsup> <mo>-</mo> <msubsup> <mover> <mi>U</mi> <mo>&CenterDot;</mo> </mover> <mi>n</mi> <mi>s</mi> </msubsup> <mo>=</mo> <msub> <mi>T</mi> <mi>s</mi> </msub> <msubsup> <mover> <mi>U</mi> <mo>&CenterDot;</mo> </mover> <mi>b</mi> <mi>s</mi> </msubsup> <mo>=</mo> <msub> <mi>T</mi> <mi>s</mi> </msub> <msubsup> <mi>Z</mi> <mi>b</mi> <mi>s</mi> </msubsup> <msubsup> <mover> <mi>I</mi> <mo>&CenterDot;</mo> </mover> <mi>b</mi> <mi>s</mi> </msubsup> <mo>=</mo> <msub> <mi>T</mi> <mi>s</mi> </msub> <msubsup> <mi>Z</mi> <mi>b</mi> <mi>s</mi> </msubsup> <msubsup> <mi>T</mi> <mi>sg</mi> <mi>T</mi> </msubsup> <msubsup> <mover> <mi>I</mi> <mo>&CenterDot;</mo> </mover> <mi>g</mi> <mi>s</mi> </msubsup> <mo>=</mo> <mi>&Delta;</mi> <msubsup> <mi>Z</mi> <mi>t</mi> <mi>s</mi> </msubsup> <msubsup> <mover> <mi>I</mi> <mo>&CenterDot;</mo> </mover> <mi>g</mi> <mi>s</mi> </msubsup> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>4</mn> <mo>)</mo> </mrow> </mrow> </math>
wherein,defined as the impedance sensitivity matrix in each ordered net:
<math> <mrow> <mi>&Delta;</mi> <msubsup> <mi>Z</mi> <mi>t</mi> <mi>s</mi> </msubsup> <mo>=</mo> <msub> <mi>T</mi> <mi>s</mi> </msub> <msubsup> <mi>Z</mi> <mi>b</mi> <mi>s</mi> </msubsup> <msubsup> <mi>T</mi> <mi>sg</mi> <mi>T</mi> </msubsup> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>5</mn> <mo>)</mo> </mrow> </mrow> </math>
<math> <mrow> <msubsup> <mover> <mi>U</mi> <mo>&CenterDot;</mo> </mover> <mi>n</mi> <mi>s</mi> </msubsup> <mo>=</mo> <msub> <mn>1</mn> <mi>n</mi> </msub> <msubsup> <mover> <mi>U</mi> <mo>&CenterDot;</mo> </mover> <mn>0</mn> <mi>s</mi> </msubsup> <mo>-</mo> <mi>&Delta;</mi> <msubsup> <mover> <mi>U</mi> <mo>&CenterDot;</mo> </mover> <mi>n</mi> <mi>s</mi> </msubsup> <mo>-</mo> <mo>-</mo> <mo>-</mo> <mrow> <mo>(</mo> <mn>6</mn> <mo>)</mo> </mrow> </mrow> </math>
10) calculating d iterationsWherein 1 isn=[1,1,…,1]TN is 1; and s is 0,1 and 2, and respectively represents a zero sequence network model, a positive sequence network model and a negative sequence network model in the sequence network model.
11) Calculating a node i three-phase voltage phase at d iterations based on inverse transformationMeasurement ofi is 1,2, …, n. Wherein A iskIs a decoupling transformation matrix of the area where the node i is located.
12) Judgment ofAndwhether the difference in amplitude meets the convergence accuracy requirement. The end of iteration is satisfied; not satisfying go to step 7).
Example analysis
For example, as shown in fig. 2, a 34-bus three-phase unbalanced distribution network including multiple transformer branches is obtained, some adjustments are made to the system, a three-phase voltage regulator is removed, and a loop condition is not considered at all, assuming that the system is operated in an open loop mode, line parameters are symmetric, that is, impedance matrices of phase components of the lines are completely symmetric, and three-phase loads are unbalanced, so that the system is relatively close to a domestic distribution network system.
In the figure 2, T1 is positioned in a step-down transformer substation, and in order to reflect and be suitable for the characteristics of a domestic three-phase unbalanced distribution network, T1 adopts delta-Y common in domestic current main step-down transformer substationsgThe voltage of 69kV is reduced to 24.9kV, and the capacity is 2500 kVA. The rated transformation ratios of the three transformers T2-T4 are the same, and 24.9kV is reduced to 4.16 kV. The total load of the system is 1379kW and 878kvar, and the distribution is unbalanced. For simulation comparative analysis, transformer T1 was fixed at delta-YgArranged such that transformers T2-T4 are at Yg-Yg、△-YgAnd Y-delta, wherein 27 groups of combination forms are selected from the three configurations, as shown in Table 1, and the partial combination forms are shown in Table 1, and the convergence situation of the power flow calculation based on the algorithm of the invention is shown in Table 2.
TABLE 1 arrangement of transformers T1-T4
Iteration times after power flow convergence of bus system of table 234
It can be seen from table 2 that the convergence is not very different under different configurations, and the algorithm herein has better convergence performance.
Fig. 3 and 4 are distribution diagrams of voltages of phases a, B and C at nodes after convergence of power flow calculation under the conditions of Case1 and Case5, respectively, and it can be seen from comparison between fig. 3 and 4 that the voltage distribution of the phases a, B and C at the nodes is relatively balanced in Case5, while the voltage difference of the phases C at the Case1 is relatively large, wherein the voltage of the phase C at a part of the nodes is obviously excessively low (less than 0.9), so that the problem that the voltage of the single phase at the nodes of a three-phase unbalanced distribution system is excessively low can be solved by carrying out different combination configurations on transformers.

Claims (1)

1. A three-phase decoupling load flow calculation method for a power distribution network containing multiple transformer branches is characterized by comprising the following steps:
1) the initial node is a power supply and is used as a reference node, and the three-phase voltage phasor matrix of the power supply node isEach node has a three-phase voltage phasor matrix ofIn the distribution system sequence network, the three-sequence voltage matrix of the power source node is obtained asEach node has a three-sequence voltage matrix ofWherein, let a ═ ej2π/3 A = 1 3 1 1 1 1 a a 2 1 a 2 a , A - 1 = 1 1 1 1 a 2 a 1 a a 2 ; n is the number of the independent nodes, and the number of the independent branches is b ═ n; for a three-phase radial power distribution network with N nodes, assuming that a first node is a power supply and serves as a reference node, the number of independent nodes is N-1, and the number of independent branches is b-N;
2) correspondingly dividing the power distribution network into K blocks of areas according to the number K of transformers in the power distribution network, and sequentially calculating a phase transformation matrix theta of each block of area according to reference nodes and the wiring mode of each transformerkAnd calculating a decoupling transformation matrix A of each block areak=ΘkA; wherein K represents the kth block area in the power distribution network, and K belongs to {1,2, …, K }; theta is a phase transformation matrix which is a 3 x 3 diagonal matrix, andθ0、θ1and theta2Zero sequence, positive sequence and negative sequence phase shift quantities in the three-sequence network system are respectively shown, and subscripts of 0,1 and 2 respectively represent the zero sequence, the positive sequence and the negative sequence in the three-sequence network; at the same time find <math> <mrow> <msubsup> <mi>A</mi> <mi>k</mi> <mrow> <mo>-</mo> <mn>1</mn> </mrow> </msubsup> <mo>=</mo> <msup> <mi>A</mi> <mrow> <mo>-</mo> <mn>1</mn> </mrow> </msup> <msubsup> <mi>&Theta;</mi> <mi>k</mi> <mrow> <mo>-</mo> <mn>1</mn> </mrow> </msubsup> <mo>;</mo> </mrow> </math>
3) Calculating the network parameters of each sequence Is a sequence impedance based on branch iForming a diagonal matrix, wherein the superscript s is 0,1 and 2, and respectively represents a zero sequence network model, a positive sequence network model and a negative sequence network model in the sequence network model; three-phase impedance of branch iAssuming it belongs to the kth block region, thenWherein, Z bi 0,1,2 = Z bi 0 0 0 0 Z bi 1 0 0 0 Z bi 2 , Z bi a , b , c = Z iaa Z iab Z iac Z iba Z ibb Z ibc Z ica Z icb Z icc ; wherein A iskA decoupling transformation matrix of the area where the branch i is located;
4) calculating road matrix T of each sequence network in each decoupled sequence network model circuits(ii) a And for nodes with zero injection sequence current, the road matrix T of each sequence networksDeleting the row corresponding to the node to form a new matrix Tsg(ii) a The subscript s is 0,1 and 2, and respectively represents a zero sequence, a positive sequence and a negative sequence in the sequence network model;
5) calculating an impedance sensitivity matrix in each sequence net
6) Giving initial value to three-phase voltage of each node of power distribution networkWherein En=[E,E,…,E]TN E, E being a 3 × 3 identity matrix;
7) calculating each phase current injected by the node i in d iterationsWhereinIs the injected power of each phase at node i,is the phasor, Y, of each phase voltage at node i, which is found at the d-1 th iterationi pIs the sum of the parallel admittances of the node i, p is a, b, c, i is 1,2, …, m; m is the number of nodes with the node injection sequence current not being zero, and d is an iteration number variable;
8) calculating each sequence current injected by the node i in d iterationsi is 1,2, …, m; wherein A iskA decoupling transformation matrix of the area where the node i is located;
9) calculating d iterationsWherein,a new injection sequence current matrix is formed after nodes with injection sequence currents being zero are removed in d iterations, m is the number of nodes with node injection sequence currents being not zero, and the superscript s is 0,1 and 2, and the zero sequence network model, the positive sequence network model and the negative sequence network model in the sequence network model are respectively represented;
10) calculating d iterationsWherein 1 isn=[1,1,…,1]TN is 1; s is 0,1 and 2, which respectively represent a zero sequence network model, a positive sequence network model and a negative sequence network model in the sequence network model;
11) calculating node i three-phase voltage phasor in d iterations based on inverse transformation1,2, …, n; wherein A iskIs a decoupled transformation matrix for the region in which node i is located,a node i three-sequence voltage phasor matrix in the d iteration;
12) judgment ofAndwhether the difference between the amplitudes meets the convergence accuracy requirement; the end of iteration is satisfied; not satisfying go to step 7).
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CN104269872B (en) * 2014-10-13 2017-12-05 国家电网公司 A kind of unusual processing method of Three-Phase Transformer bus admittance matrix
CN104881566B (en) * 2015-04-09 2017-12-15 南昌大学 A kind of Three-Phase Transformer modeling method for power network asymmetry Load flow calculation
CN104917197B (en) * 2015-07-01 2018-01-19 中国电力科学研究院 A kind of method of parallel computation active distribution network three-phase unbalanced load flow
CN105528530A (en) * 2016-02-22 2016-04-27 国家电网公司 Method for calculating and analyzing three-phase power flow in distribution network
CN108134392B (en) * 2017-12-29 2021-11-26 国网天津市电力公司电力科学研究院 Single-phase and three-phase hybrid power flow calculation method based on node current injection
CN108595819B (en) * 2018-04-19 2020-03-31 大连海事大学 Transformer three-phase model establishing method based on conversion matrix
CN108565866B (en) * 2018-05-15 2020-03-13 大连海事大学 Transformer three-phase model establishing method based on unified transformation matrix
CN109004645B (en) * 2018-08-06 2020-06-12 清华四川能源互联网研究院 Power system simulation method and device
CN109949388B (en) * 2019-01-31 2023-05-05 国网山西省电力公司晋城供电公司 Multi-calculation power system vector operation device and drawing method
CN113690893B (en) * 2021-08-26 2022-08-02 广东电网有限责任公司广州供电局 Load flow calculation method and system of microgrid with voltage regulator

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102427227A (en) * 2011-10-18 2012-04-25 清华大学 Quick correction decoupling power system state estimating method considering zero injection constraint

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102427227A (en) * 2011-10-18 2012-04-25 清华大学 Quick correction decoupling power system state estimating method considering zero injection constraint

Non-Patent Citations (7)

* Cited by examiner, † Cited by third party
Title
分层三相配电网潮流算法及变压器详细模型推导;李红伟等;《电力自动化设备》;20120831;第32卷(第8期);第41页第1段-第45页倒数第1段 *
含多台变压器支路的三相弱环配电网潮流计算;李红伟等;《电力系统保护与控制》;20120316;第40卷(第6期);第11页第1段-第14页第1段 *
基于正序分量的含PV节点的三相配网潮流算法;李红伟等;《中国电机工程学报》;20120105;第32卷(第1期);第115页第1段-第120页第1段 *
张伯明等.高等电力网络分析.《高等电力网络分析》.清华大学出版社,1996, *
李红伟等.分层三相配电网潮流算法及变压器详细模型推导.《电力自动化设备》.2012,第32卷(第8期), *
李红伟等.含多台变压器支路的三相弱环配电网潮流计算.《电力系统保护与控制》.2012,第40卷(第6期), *
李红伟等.基于正序分量的含PV节点的三相配网潮流算法.《中国电机工程学报》.2012,第32卷(第1期), *

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