CN110994678A - Calculation method and device for distributed photovoltaic accurate access - Google Patents
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Abstract
The invention aims to solve one of the problems in the prior art, provides a distributed photovoltaic accurate access computing method and device, and improves the computing efficiency; a computing method for distributed photovoltaic accurate access comprises the following steps: determining pre-access line nodes of distributed photovoltaic distribution in a network through a random generator; the photovoltaic to be accessed with the preset total capacity is accessed to the pre-access line node according to different capacity combinations to obtain each preset network model after the photovoltaic is accessed to the pre-access line node; carrying out load flow calculation based on the preset network model to obtain the load flow and the voltage drop of each line node under each preset network model; obtaining a recommended access position and a recommended access capacity of the photovoltaic on the basis of the power flow and the voltage drop of each line node under each preset network model; the application also discloses a corresponding device. The method and the device can quickly obtain the recommended access position and the recommended access capacity, and improve the recommendation efficiency and accuracy.
Description
Technical Field
The invention relates to a distributed photovoltaic accurate access computing method and device.
Background
With the increasing shortage of conventional energy and the increasing increase of environmental pollution, the energy crisis has become a hot problem of global attention, and people are urgently required to establish an energy structure mainly based on clean and renewable energy sources to gradually replace an energy structure mainly based on fossil energy sources with serious pollution and limited resources so as to adapt to the sustainable development of economy. The distributed photovoltaic system is greatly supported by the country with unique advantages and the technical support of a plurality of technical researchers at home and abroad, the capacity scale of more than 1.74 hundred million kilowatts is rapidly expanded from no expansion, and the development trend is still accelerated. The large-scale grid-connected application of the distributed photovoltaic changes the structure and the trend flow direction of the power distribution network, and brings a lot of influences to the power distribution network while green and environment-friendly power generation is realized.
Regarding the access and optimization configuration aspect of the distributed photovoltaic, under the condition that the total capacity of the distributed photovoltaic is determined and the access feeder, the access position of each feeder and the capacity are uncertain, aiming at the problem of calculating the access capacity of the large-area access distributed photovoltaic of the power distribution network, the voltage stability and the distribution of the regional sunlight energy are considered, a solution method of voltage constraint is derived by using a custom matrix, and the position and the capacity of the distributed photovoltaic access power distribution network are determined. The disadvantage is that the method is computationally inefficient.
Disclosure of Invention
The invention aims to solve one of the problems in the prior art, provides a distributed photovoltaic accurate access computing method and device, and improves the computing efficiency.
In order to achieve the purpose, a calculation method for distributed photovoltaic accurate access includes:
determining pre-access line nodes of distributed photovoltaic distribution in a network through a random generator;
the photovoltaic to be accessed with the preset total capacity is accessed to the pre-access line node according to different capacity combinations to obtain each preset network model after the photovoltaic is accessed to the pre-access line node;
carrying out load flow calculation based on the preset network model to obtain the load flow and the voltage drop of each line node under each preset network model;
and obtaining the recommended access position and the recommended access capacity of the photovoltaic system based on the power flow and the voltage drop of each line node under each preset network model.
Optionally, the performing load flow calculation based on the preset network model includes:
setting a node voltage constraint condition; the node voltage constraint conditions are as follows:
Vmin,i≤Vi(t)≤Vmax,i；
in the formula: vi(t) is the voltage at node i; vmin,iMinimum voltage at node i, Vmax,iIs the maximum voltage of node i;
setting a power flow constraint condition; the power flow constraint conditions are as follows:
carrying out load flow calculation based on the node voltage constraint condition and the load flow constraint condition;
PG,i(t) active Power, Q, of distributed Power supply of node iG,i(t) distributed Power reactive Power, Δ P, for node iG,i(t) active change of distributed Power supply of node i, Δ QG,i(t) reactive change of distributed Power supply for node i, PL,i(t) is the active load of node i, QL,i(t) reactive load of node i, Vi(t) is the node voltage of node i, Vj(t) is the node voltage of node j, GijIs the conductance between node i and node j, BijTo be susceptance between node i and node j, θijIs the phase difference angle between node i and node j.
Optionally, the performing load flow calculation based on the preset network model includes:
obtaining active power of a node of a pre-access line;
calculating the reactive power of a node of a pre-access line;
and carrying out load flow calculation by a forward-backward flow-replacing algorithm based on the reactive power and the active power of the node of the pre-access line.
Optionally, the determining, by the random generator, that the distributed photovoltaic distribution is distributed before the pre-access line node of the network further includes: line parameters are initialized, including line nodes, capacity, and load rate.
To achieve the object, a distributed photovoltaic precision access computing device includes:
the node determining module is used for determining the pre-access line nodes of the distributed photovoltaic distribution in the network through the random generator;
the preset network model acquisition module is used for acquiring preset network models after photovoltaic access to the pre-access line nodes by combining and accessing photovoltaic to be accessed with preset total capacity to the pre-access line nodes according to different capacities;
the calculation module is used for carrying out load flow calculation based on the preset network model to obtain the load flow and the voltage drop of each line node under each preset network model;
and the recommending module is used for obtaining the recommended access position and the recommended access capacity of the photovoltaic system based on the power flow and the voltage drop of each line node under each preset network model.
Optionally, the performing load flow calculation based on the preset network model includes:
setting a node voltage constraint condition; the node voltage constraint conditions are as follows:
Vmin,i≤Vi(t)≤Vmax,i；
in the formula: vi(t) is the voltage at node i; vmin,iMinimum voltage at node i, Vmax,iIs the maximum voltage of node i;
setting a power flow constraint condition; the power flow constraint conditions are as follows:
carrying out load flow calculation based on the node voltage constraint condition and the load flow constraint condition;
PG,i(t) active Power, Q, of distributed Power supply of node iG,i(t) distributed Power reactive Power, Δ P, for node iG,i(t) active change of distributed Power supply of node i, Δ QG,i(t) reactive change of distributed Power supply for node i, PL,i(t) is the active load of node i, QL,i(t) reactive load of node i, Vi(t) is the node voltage of node i, Vj(t) is the node voltage of node j, GijIs the conductance between node i and node j, BijTo be susceptance between node i and node j, θijIs the phase difference angle between node i and node j.
Optionally, the performing load flow calculation based on the preset network model includes:
obtaining active power of a node of a pre-access line;
calculating the reactive power of a node of a pre-access line;
and carrying out load flow calculation by a forward-backward flow-replacing algorithm based on the reactive power and the active power of the node of the pre-access line.
Optionally, the determining, by the random generator, that the distributed photovoltaic distribution is distributed before the pre-access line node of the network further includes: line parameters are initialized, including line nodes, capacity, and load rate.
The technical scheme of the present disclosure can be implemented to obtain the following beneficial technical effects: determining pre-access line nodes of distributed photovoltaic distribution in a network through a random generator, and accessing photovoltaic to be accessed with preset total capacity to the pre-access line nodes according to different capacity combinations to obtain each preset network model after the photovoltaic is accessed to the pre-access line nodes; carrying out load flow calculation based on a preset network model to obtain the load flow and voltage drop of each line node under each preset network model; and finally, obtaining the recommended access position and the recommended access capacity of the photovoltaic system according to the power flow and the voltage drop of each line node based on each preset network model. The method and the device can quickly obtain the recommended access position and the recommended access capacity, and improve the recommendation efficiency and precision.
Drawings
FIG. 1 is a flow chart of a method in one embodiment of the present disclosure;
FIG. 2 is a system connection diagram in one embodiment of the present disclosure;
FIG. 3 is a simplified diagram of an exemplary medium voltage line topology in one embodiment of the present disclosure;
fig. 4 is a tidal flow diagram at different access locations and capacities in one embodiment of the present disclosure.
Detailed Description
To facilitate understanding of those skilled in the art, the present invention will be further described with reference to specific examples:
example 1:
as shown in fig. 1, a calculation method for distributed photovoltaic precise access includes:
step S1: determining pre-access line nodes of distributed photovoltaic distribution in a network through a random generator;
step S2: the photovoltaic to be accessed with the preset total capacity is accessed to the pre-access line node according to different capacity combinations to obtain each preset network model after the photovoltaic is accessed to the pre-access line node;
step S3: carrying out load flow calculation based on the preset network model to obtain the load flow and the voltage drop of each line node under each preset network model;
step S4: and obtaining the recommended access position and the recommended access capacity of the photovoltaic system based on the power flow and the voltage drop of each line node under each preset network model.
The method comprises the steps that pre-access line nodes of distributed photovoltaic distribution in a network are determined through a random generator, and the photovoltaic to be accessed with the preset total capacity is combined and accessed into the pre-access line nodes according to different capacities so as to obtain each preset network model after the photovoltaic is accessed into the pre-access line nodes; carrying out load flow calculation based on a preset network model to obtain the load flow and voltage drop of each line node under each preset network model; and finally, obtaining the recommended access position and the recommended access capacity of the photovoltaic system according to the power flow and the voltage drop of each line node based on each preset network model.
Under the condition that the power flow and the voltage drop of each line node under each preset network model are known, the corresponding preset network model can be selected according to the power flow and the voltage drop by the technology in the field, and then the recommended access position and the recommended access capacity of the photovoltaic are obtained; and according to how the power flow and the voltage drop select the corresponding preset network model, a person skilled in the art can set and select the preset network model according to actual needs.
The method can quickly obtain the recommended access position and the recommended access capacity, and improve the efficiency; and the method can be developed and applied to the excel form of the general office software.
The method comprises the steps that the photovoltaic to be accessed with the preset total capacity is accessed to a pre-access line node according to different capacity combinations to obtain each preset network model after the photovoltaic is accessed to the pre-access line node, namely the preset network model based on the preset total capacity and different access positions and capacities of the pre-access line node is obtained; if the node of the pre-access line is assumed to be 7 nodes, 13 nodes and 17 nodes; if the preset total capacity is 6MW, the preset network model includes: the network model of the photovoltaic DG with the 6MW is accessed to the 7 node, the network model of the photovoltaic DG with the 6MW is accessed to the 13 node, the network model of the photovoltaic DG with the 6MW is accessed to the 17 node, the photovoltaic DG with the 2MW is accessed to the 7 node, the photovoltaic DG with the 2MW is accessed to the 13 node, and the network model of the photovoltaic DG with the 2MW is accessed to the 17 node. And in the actual splitting process, the setting can be carried out according to the requirement.
As an alternative to the above embodiment, the performing the power flow calculation based on the preset network model includes:
setting a node voltage constraint condition; the node voltage constraint conditions are as follows:
Vmin,i≤Vi(t)≤Vmax,i；
in the formula: vi(t) is the voltage at node i; vmin,iMinimum voltage at node i, Vmax,iIs the maximum voltage of node i;
setting a power flow constraint condition; the power flow constraint conditions are as follows:
carrying out load flow calculation based on the node voltage constraint condition and the load flow constraint condition;
PG,i(t) active Power, Q, of distributed Power supply of node iG,i(t) distributed Power reactive Power, Δ P, for node iG,i(t) active change of distributed Power supply of node i, Δ QG,i(t) reactive change of distributed Power supply for node i, PL,i(t) is the active load of node i, QL,i(t) reactive load of node i, Vi(t) is the node voltage of node i, Vj(t) is the node voltage of node j, GijIs the conductance between node i and node j, BijTo be susceptance between node i and node j, θijIs the phase difference angle between node i and node j.
As an alternative to the above embodiment, the performing the power flow calculation based on the preset network model includes:
obtaining active power of a node of a pre-access line;
calculating the reactive power of a node of a pre-access line;
and carrying out load flow calculation by a forward-backward flow-replacing algorithm based on the reactive power and the active power of the node of the pre-access line.
As an alternative to the foregoing embodiment, the determining, by the randomizer, that the distributed photovoltaic distribution is located before the pre-access line node of the network further includes: line parameters are initialized, including line nodes, capacity, and load rate.
Example 2:
a computing device for distributed photovoltaic precision access, comprising:
the node determining module 1 is used for determining the pre-access line nodes of the distributed photovoltaic distribution in the network through the random generator;
the preset network model acquisition module 2 is used for acquiring preset network models after photovoltaic access to the pre-access line nodes by combining and accessing photovoltaic to be accessed with preset total capacity to the pre-access line nodes according to different capacities;
the calculation module 3 is used for carrying out load flow calculation based on the preset network model to obtain the load flow and the voltage drop of each line node under each preset network model;
and the recommending module 4 is used for obtaining a photovoltaic recommended access position and a photovoltaic recommended access capacity based on the power flow and the voltage drop of each line node under each preset network model.
As an alternative to the above embodiment, the performing the power flow calculation based on the preset network model includes:
setting a node voltage constraint condition; the node voltage constraint conditions are as follows:
Vmin,i≤Vi(t)≤Vmax,i(ii) a In the formula: vi(t) is the voltage at node i; vmin,iMinimum voltage at node i, Vmax,iIs the maximum voltage of node i;
setting a power flow constraint condition; the power flow constraint conditions are as follows:
carrying out load flow calculation based on the node voltage constraint condition and the load flow constraint condition;
PG,i(t) active Power, Q, of distributed Power supply of node iG,i(t) distributed Power reactive Power, Δ P, for node iG,i(t) active change of distributed Power supply of node i, Δ QG,i(t) reactive change of distributed Power supply for node i, PL,i(t) is the active load of node i, QL,i(t) reactive load of node i, Vi(t) is the node voltage of node i, Vj(t) is the node voltage of node j, GijIs the conductance between node i and node j, BijTo be susceptance between node i and node j, θijIs the phase difference angle between node i and node j.
As an alternative to the above embodiment, the performing the power flow calculation based on the preset network model includes:
obtaining active power of a node of a pre-access line;
calculating the reactive power of a node of a pre-access line;
and carrying out load flow calculation by a forward-backward flow-replacing algorithm based on the reactive power and the active power of the node of the pre-access line.
As an alternative to the foregoing embodiment, the determining, by the randomizer, that the distributed photovoltaic distribution is located before the pre-access line node of the network further includes: line parameters are initialized, including line nodes, capacity, and load rate.
Example 3:
taking a medium-voltage line of distributed photovoltaic power generation grid connection as an example, the invention firstly improves the existing load flow calculation theory and method and provides an improved load flow calculation method; then, aiming at the problems that the structure of a power distribution network and the flow direction of power flow can be changed after distributed photovoltaic access, a voltage constraint condition and a power flow constraint condition are respectively set; on the basis, iterative optimization is carried out on the algorithm through a traversal algorithm; and finally, programming by using VBA in EXCEL, and developing a addressing and constant volume software tool of the distributed photovoltaic for the second time, so that engineering technicians can conveniently and quickly realize the accurate access design of the distributed photovoltaic by only adopting office software.
1. First, parameters such as line nodes, capacity, and load factor are initialized.
For example, a 17-node line with a line model LGJ-240 is selected, the length of a trunk line is not more than 10km, the sum of the capacities of all nodes is not more than 10000kVA, the power factor is 0.95, the voltage of a bus side is 10.7kV, and the load factor is 50%. Line parameters and node hook distribution transformation capacity, a simplified line topology graph, as shown in fig. 3, as shown in table 1:
TABLE 1 certain line parameters
2. Improved load flow calculation traversal optimization algorithm
Considering that the distributed photovoltaic has a certain randomness in space, it is assumed that the distributed photovoltaic is randomly distributed on each node of the network and is determined by adopting a random number generator.
The combined traversal access power flow calculation is carried out on the photovoltaic with the power of 6MW at random to calculate the power flow and node voltage drop of each node, as shown in table 2 and fig. 4, wherein the ordinate in fig. 4 is the active power flow, the very coordinate is the node number, the line with the rhombus is the active power flow of the missed DG, the line with the shape of x is the active power flow of each access node with the power of 2MW at the 7 th, 13 th and 17 th nodes, the line with the shape of square is the active power flow of the access node DG6MW at the tail end, and the line to be triangular is the active power flow of the access node DG6MW at the.
TABLE 2 ergodic optimization trend results for line access to photovoltaic
In fig. 3, a medium voltage line is led out from a bus of a certain substation 101, numerals 1 to 17 denote the numbers of nodes of the line, hitching distribution transformation capacity is provided below each node, if the nodes are small branches, the distribution transformation capacity on the branch lines of the line is accumulated, the simplified typical line is hitched on a main line, a topological diagram of the simplified typical line is shown in fig. 3, and typical line parameters are shown in table 1.
In the embodiment, the related technical scheme is improved.
1. Distributed photovoltaic access power flow calculation problem
The traditional forward-backward substitution method mainly processes PQ type nodes, and distributed photovoltaics are PI type nodes. Therefore, improvements over the conventional push-back substitution are needed. Since the active power of DG is a constant value, if the magnitude of the reactive power can be obtained, the PI type DG can be converted into a PQ type node which can be processed by the forward-backward substitution method. The reactive Q injected into it is:
firstly, identifying the type of a PI type node; it is then determined that the reactive load between the root node and the PI node is shared equally by the two, while the reactive load between the PI node to the end node is provided by the DG at the PI node. If the PV type DG grid-connected point is positioned among a plurality of branches of the radiation network, the branch with the maximum reactive load at the tail node is preferentially selected.
2. Node voltage constraint
Vmin,i≤Vi(t)≤Vmax,i(2)
In the formula: vmin,iAnd Vmax,iThe minimum and maximum voltage values of the node i are respectively.
3. Flow restraint
In the formula: pG,i(t)、QG,i(t) the active power and the reactive power of the distributed power supply of the node i are respectively; delta PG,i(t)、ΔQG,i(t) the active change and the reactive change of the distributed power supply of the node i are respectively; pL,i(t)、QL,i(t) respectively an active load and a reactive load of the node i; vi(t) and Vj(t) the node voltages of nodes i, j, respectively; gij、Bij、θijRespectively, conductance, susceptance, and phase difference angle between the nodes i, j.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The above description is only an embodiment of the present invention, but the technical features of the present invention are not limited thereto, and any changes or modifications within the technical field of the present invention by those skilled in the art are covered by the claims of the present invention.
Claims (8)
1. A computing method for distributed photovoltaic accurate access is characterized by comprising the following steps:
determining pre-access line nodes of distributed photovoltaic distribution in a network through a random generator;
the photovoltaic to be accessed with the preset total capacity is accessed to the pre-access line node according to different capacity combinations to obtain each preset network model after the photovoltaic is accessed to the pre-access line node;
carrying out load flow calculation based on the preset network model to obtain the load flow and the voltage drop of each line node under each preset network model;
and obtaining the recommended access position and the recommended access capacity of the photovoltaic system based on the power flow and the voltage drop of each line node under each preset network model.
2. The method of claim 1, wherein the performing the power flow calculation based on the preset network model comprises:
setting a node voltage constraint condition; the node voltage constraint conditions are as follows:
Vmin,i≤Vi(t)≤Vmax,i；
in the formula: vi(t) is the voltage at node i; vmin,iMinimum voltage at node i, Vmax,iIs the maximum voltage of node i;
setting a power flow constraint condition; the power flow constraint conditions are as follows:
carrying out load flow calculation based on the node voltage constraint condition and the load flow constraint condition;
PG,i(t) active Power, Q, of distributed Power supply of node iG,i(t) distributed Power reactive Power, Δ P, for node iG,i(t) active change of distributed Power supply of node i, Δ QG,i(t) reactive change of distributed Power supply for node i, PL,i(t) is the active load of node i, QL,i(t) reactive load of node i, Vi(t) is the node voltage of node i, Vj(t) is the node voltage of node j, GijIs the conductance between node i and node j, BijTo be susceptance between node i and node j, θijIs the phase difference angle between node i and node j.
3. The method of claim 1, wherein the performing the power flow calculation based on the preset network model comprises:
obtaining active power of a node of a pre-access line;
calculating the reactive power of a node of a pre-access line;
and carrying out load flow calculation by a forward-backward flow-replacing algorithm based on the reactive power and the active power of the node of the pre-access line.
4. The method of claim 1, wherein the determining, by the randomizer, the distributed photovoltaic distribution before the pre-access line node of the network further comprises: line parameters are initialized, including line nodes, capacity, and load rate.
5. A computing device of accurate access of distributed photovoltaic, comprising:
the node determining module is used for determining the pre-access line nodes of the distributed photovoltaic distribution in the network through the random generator;
the preset network model acquisition module is used for acquiring preset network models after photovoltaic access to the pre-access line nodes by combining and accessing photovoltaic to be accessed with preset total capacity to the pre-access line nodes according to different capacities;
the calculation module is used for carrying out load flow calculation based on the preset network model to obtain the load flow and the voltage drop of each line node under each preset network model;
and the recommending module is used for obtaining the recommended access position and the recommended access capacity of the photovoltaic system based on the power flow and the voltage drop of each line node under each preset network model.
6. The apparatus of claim 5, wherein the performing the power flow calculation based on the preset network model comprises:
setting a node voltage constraint condition; the node voltage constraint conditions are as follows:
Vmin,i≤Vi(t)≤Vmax,i；
in the formula: vi(t) is the voltage at node i; vmin,iMinimum voltage at node i, Vmax,iIs the maximum voltage of node i;
setting a power flow constraint condition; the power flow constraint conditions are as follows:
carrying out load flow calculation based on the node voltage constraint condition and the load flow constraint condition;
PG,i(t) active Power, Q, of distributed Power supply of node iG,i(t) distributed Power reactive Power, Δ P, for node iG,i(t) active change of distributed Power supply of node i, Δ QG,i(t) reactive change of distributed Power supply for node i, PL,i(t) is the active load of node i, QL,i(t) reactive load of node i, Vi(t) is the node voltage of node i, Vj(t) is the node voltage of node j, GijIs the conductance between node i and node j, BijTo be susceptance between node i and node j, θijIs the phase difference angle between node i and node j.
7. The apparatus of claim 6, wherein the performing the power flow calculation based on the preset network model comprises:
obtaining active power of a node of a pre-access line;
calculating the reactive power of a node of a pre-access line;
and carrying out load flow calculation by a forward-backward flow-replacing algorithm based on the reactive power and the active power of the node of the pre-access line.
8. The apparatus of claim 5, wherein the determining, by the randomizer, the distributed photovoltaic distribution in front of the pre-access line node of the network further comprises: line parameters are initialized, including line nodes, capacity, and load rate.
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