CN118153987A - Capacitor site selection method, equipment, medium and product of power distribution network in agriculture and animal husbandry - Google Patents
Capacitor site selection method, equipment, medium and product of power distribution network in agriculture and animal husbandry Download PDFInfo
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Abstract
The invention discloses a capacitor site selection method, equipment, medium and product of an agriculture and animal husbandry power distribution network, and relates to the technical field of power distribution networks, wherein the method comprises the following steps: according to reactive power, active power and node voltage of the power distribution network in the agriculture and animal husbandry, calculating four evaluation indexes of each node in the power distribution network in the agriculture and animal husbandry; calculating entropy weight of each standardized evaluation index corresponding to each node by using an entropy weight method; according to each standardized evaluation index and each entropy weight, a weighted superposition analysis method is adopted to determine the comprehensive score of each node; taking the node with the highest comprehensive score as the current installation position of the capacitor in the power distribution network of the agriculture and animal husbandry; optimizing the current installation capacity of the capacitor by adopting a particle swarm algorithm; and enabling the total loss of the current line to be smaller than the total loss of the initial line and the lowest voltage of the current system to be larger than the lowest voltage of the initial system, otherwise, continuing selecting for address selection. The invention improves the voltage quality of the operation of the power distribution network in the agriculture and animal husbandry, and reduces the total loss of the line.
Description
Technical Field
The invention relates to the technical field of power distribution networks, in particular to a capacitor site selection method, equipment, medium and product of a power distribution network in an agriculture and animal husbandry.
Background
At present, the society greatly adjusts the energy structure, improves renewable energy duty ratio such as photovoltaic, wind power. Along with the dense access of distributed photovoltaics, large-scale photovoltaics show the development trend of more points, large volume and large area, and the characteristics of anti-peak shaving, fluctuation and the like are serious to the node voltage fluctuation of a power distribution network and the excessive loss of a network. On the other hand, the agriculture and animal husbandry area has the regional characteristics of wide area, great nomadic population specific gravity and the like, so that the power distribution network has the characteristics of long power supply distance, scattered power load, simple structure and the like, and the problem of low utilization rate of a power transmission line is caused. The losses in the distribution system of the farming and pastoral area are about 13% of the total power generation of the system according to statistics. In this context, the rationality of capacitor addressing is to be improved.
Disclosure of Invention
The invention aims to provide a capacitor site selection method, equipment, medium and product of an agriculture and animal husbandry power distribution network, which improve the voltage quality of operation of the agriculture and animal husbandry power distribution network and reduce the total loss of lines.
In order to achieve the above object, the present invention provides the following solutions:
A capacitor location method of a power distribution network in an agriculture and animal husbandry comprises the following steps:
calculating initial power flow distribution of the power distribution network in the agriculture and animal husbandry;
Calculating initial line total loss and initial system minimum voltage according to initial power flow distribution;
According to reactive power, active power and node voltage of the power distribution network in the agriculture and animal husbandry, calculating a first evaluation index, a second evaluation index, a third evaluation index and a fourth evaluation index of each node in the power distribution network in the agriculture and animal husbandry; the first evaluation index is a sensitivity index of line loss relative to reactive power, the second evaluation index is an evaluation index of the influence degree of equivalent load reactive power on the line active loss, the third evaluation index is a sensitivity index of line loss relative to node voltage, and the fourth evaluation index is an evaluation index of node voltage stability;
Respectively normalizing the first evaluation index, the second evaluation index, the third evaluation index and the fourth evaluation index of each node;
Calculating entropy weight of each standardized evaluation index corresponding to each node by using an entropy weight method; each standardized evaluation index comprises a first evaluation index, a second evaluation index, a third evaluation index and a fourth evaluation index after standardization;
For each node, determining the comprehensive score of each node by adopting a weighted superposition analysis method according to each standardized evaluation index and each entropy weight;
taking the node with the highest comprehensive score as the current installation position of the capacitor in the power distribution network of the agriculture and animal husbandry;
Determining the current installation capacity of the capacitor by adopting a particle swarm algorithm according to the current installation position of the capacitor and the installation capacity range of the capacitor and with the aim of minimizing the total line loss of the power distribution network in the agriculture and animal husbandry;
calculating current power flow distribution of the power distribution network in the agriculture and animal husbandry after the capacitor with the current installation capacity is installed at the current installation position, and calculating the total loss of the current line and the lowest voltage of the current system according to the current power flow distribution;
outputting a current installation position and a current installation capacity if the current line total loss is smaller than the initial line total loss and the current system minimum voltage is larger than the initial system minimum voltage;
If the total loss of the current line is greater than or equal to the total loss of the initial line or the lowest voltage of the current system is less than or equal to the lowest voltage of the initial system, removing the node with the highest comprehensive score, selecting the node with the highest comprehensive score from the rest nodes as the current installation position of the capacitor in the power distribution network of the agriculture and animal husbandry, returning to the step of determining the current installation capacity of the capacitor by adopting a particle swarm algorithm according to the current installation position of the capacitor and the installation capacity range of the capacitor and taking the total loss of the line of the power distribution network of the agriculture and animal husbandry as a target.
Optionally, calculating an initial power flow distribution of the power distribution network of the agriculture and animal husbandry specifically includes:
And calculating the initial power flow distribution of the power distribution network in the agriculture and animal husbandry by adopting a forward push back generation power flow calculation method.
Optionally, the first evaluation index is expressed as:
Wherein, CI' 1,k represents a first evaluation index of the kth node, P loss represents line active loss caused by unit node equivalent load reactive power change, Q eq,k represents equivalent load reactive power of the kth node, R m represents branch resistance of the mth node, and U m+1 represents branch voltage of the (m+1) th node;
The second evaluation index is expressed as:
Wherein CI' 2,k represents a second evaluation index of the kth node, Q eq,m-1 represents the equivalent load reactive power of the (m-1) th node, Q eq,k-1 represents the equivalent load reactive power of the (k-1) th node, and R m-1 represents the branch resistance of the (m-1) th node;
the third evaluation index is expressed as:
Wherein CI' 3,k represents a third evaluation index of the kth node, U k represents the branch voltage of the kth node, P eq,k represents the equivalent load active power of the kth node, and R k-1 represents the branch resistance of the kth-1 node;
The fourth evaluation index is expressed as:
Wherein CI' 4,k represents the fourth evaluation index of the kth node, X k represents the branch reactance of the kth node, and R k represents the branch resistance of the kth node.
Optionally, the normalizing the first, second, third and fourth evaluation indexes of each node includes:
Dividing the first evaluation index, the second evaluation index and the fourth evaluation index into forward evaluation indexes;
Dividing the third evaluation index into negative evaluation indexes;
The formula of the forward index standardization process is as follows:
Wherein CI i,k represents the ith evaluation index after normalization of the kth node, CI' i,k represents the ith evaluation index before normalization of the kth node
The formula of the negative index standardization process is as follows:
optionally, the calculation formula of the entropy weight is:
Wherein, W i represents the entropy weight of the i-th standardized evaluation index, e i represents the entropy value of the i-th standardized evaluation index, n is the number of nodes, and CI i,k represents the i-th standardized evaluation index of the k-th node.
Optionally, the calculation formula of the composite score is:
wherein S k represents the composite score of the kth node, W i represents the entropy weight of the normalized ith evaluation index, and CI i,k represents the normalized ith evaluation index of the kth node.
A computer device, comprising: the system comprises a memory, a processor and a computer program stored on the memory and capable of running on the processor, wherein the processor executes the computer program to realize the steps of the capacitor addressing method of the power distribution network in the agriculture and animal husbandry.
A computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of the capacitor addressing method of an agricultural and pastoral power distribution network.
A computer program product comprising a computer program which when executed by a processor performs the steps of the capacitor addressing method of an agricultural and pastoral power distribution network.
According to the specific embodiment provided by the invention, the invention discloses the following technical effects:
based on 4 evaluation indexes, for each node, a weighted superposition analysis method is adopted to determine the comprehensive score of each node according to each standardized evaluation index and each entropy weight, and the capacitor position and capacity are determined according to the comprehensive score of each node and a classical particle swarm algorithm under the condition that the voltage quality is improved and the total line loss is reduced, so that the rationality of container site selection is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are needed in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic flow chart of a capacitor location method of an agricultural and pastoral area distribution network provided in embodiment 1 of the present invention;
fig. 2 is a first network topology schematic diagram of the passive power distribution system for an agriculture and animal husbandry provided in embodiment 1 of the present invention;
FIG. 3 is a comparison chart of the first calculation result of the multi-index weighted addressing method according to the embodiment 1 of the present invention;
Fig. 4 is a second network topology schematic diagram of the passive power distribution system for an agriculture and animal husbandry provided in embodiment 1 of the present invention;
FIG. 5 is a comparison chart of the second calculation result of the multi-index weighted addressing method according to the embodiment 1 of the present invention;
fig. 6 is an internal structural view of the computer device.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The invention aims to provide a capacitor site selection method, equipment, medium and product of an agriculture and animal husbandry power distribution network, which improve the voltage quality of operation of the agriculture and animal husbandry power distribution network and reduce the total loss of lines.
In order that the above-recited objects, features and advantages of the present invention will become more readily apparent, a more particular description of the invention will be rendered by reference to the appended drawings and appended detailed description.
Example 1
According to the capacitor site selection method of the power distribution network in the agriculture and animal husbandry, through analysis of line loss influence factors of the power distribution network in the agriculture and animal husbandry, four evaluation indexes of capacitor site selection are respectively constructed from three angles of reactive power, active power and node voltage, and are solved based on a forward push back substitution tide calculation method, calculation results of the indexes are obtained, and an evaluation matrix is constructed; dividing the four evaluation indexes into two types of positive indexes and negative indexes based on the definition of the four evaluation indexes, and carrying out data standardization according to the divided index types to construct a standardization matrix; calculating entropy weights corresponding to the capacitor address indexes by using an entropy weight method, and generating an optimal capacitor address scheme in the power distribution network of the agriculture and animal husbandry by using a weighted superposition analysis method; and determining the installation position of the capacitor in the power distribution network of the agriculture and animal husbandry according to the optimal site selection scheme obtained by solving, and finally determining the installation capacity of each capacitor by adopting a classical particle swarm algorithm to generate an optimal configuration scheme of the capacitor.
As shown in fig. 1, a capacitor location method for an agriculture and animal husbandry power distribution network in this embodiment includes the following steps.
Step 101: and calculating the initial power flow distribution of the power distribution network in the agriculture and animal husbandry.
Step 102: and calculating the total loss of the initial line and the minimum voltage of the initial system according to the initial power flow distribution.
Step 103: according to reactive power, active power and node voltage of the power distribution network in the agriculture and animal husbandry, calculating a first evaluation index, a second evaluation index, a third evaluation index and a fourth evaluation index of each node in the power distribution network in the agriculture and animal husbandry; the first evaluation index is a sensitivity index of line loss relative to reactive power, the second evaluation index is an evaluation index of the influence degree of equivalent load reactive power on the line active loss, the third evaluation index is a sensitivity index of line loss relative to node voltage, and the fourth evaluation index is an evaluation index of node voltage stability.
Step 103 is to respectively construct four evaluation indexes of capacitor site selection from three angles of reactive power, active power and node voltage through analysis of line loss influence factors of the power distribution network in the agriculture and animal husbandry, solve the four evaluation indexes based on a forward-push back-substitution tide calculation method, obtain calculation results of the indexes, and construct an evaluation matrix.
Step 104: and normalizing the first evaluation index, the second evaluation index, the third evaluation index and the fourth evaluation index of each node respectively.
Step 105: calculating entropy weight of each standardized evaluation index corresponding to each node by using an entropy weight method; each standardized evaluation index comprises a first evaluation index, a second evaluation index, a third evaluation index and a fourth evaluation index after standardization.
And constructing a standardized matrix according to the standardized first evaluation index, the standardized second evaluation index, the standardized third evaluation index and the standardized fourth evaluation index.
Step 106: and for each node, determining the comprehensive score of each node by adopting a weighted superposition analysis method according to each standardized evaluation index and each entropy weight.
Step 107: and taking the node with the highest comprehensive score as the current installation position of the capacitor in the power distribution network of the agriculture and animal husbandry.
Step 108: and determining the current installation capacity of the capacitor by adopting a particle swarm algorithm according to the current installation position of the capacitor and the installation capacity range of the capacitor and with the aim of minimizing the total line loss of the power distribution network in the agriculture and animal husbandry.
Step 109: and calculating the current power flow distribution of the power distribution network of the agriculture and animal husbandry after the capacitor with the current installation capacity is installed at the current installation position, and calculating the total loss of the current line and the lowest voltage of the current system according to the current power flow distribution.
Step 110: and outputting the current installation position and the current installation capacity if the current line total loss is smaller than the initial line total loss and the current system minimum voltage is larger than the initial system minimum voltage.
Step 111: if the total loss of the current line is greater than or equal to the total loss of the initial line or the lowest voltage of the current system is less than or equal to the lowest voltage of the initial system, removing the node with the highest comprehensive score, selecting the node with the highest comprehensive score from the rest nodes as the current installation position of the capacitor in the power distribution network of the agriculture and animal husbandry, returning to the step of determining the current installation capacity of the capacitor by adopting a particle swarm algorithm according to the current installation position of the capacitor and the installation capacity range of the capacitor and taking the total loss of the line of the power distribution network of the agriculture and animal husbandry as a target.
The step 101 specifically includes:
And inputting node load data and line parameters (including branch resistance R k and branch reactance X k) of the power distribution network in the studied agriculture and animal husbandry area, and constructing a topology model of the power distribution network, wherein the number of the nodes is n in total.
The nodes are nodes in a power distribution network topology model.
And calculating the initial power flow distribution of the power distribution network in the agriculture and animal husbandry by adopting a forward push back generation power flow calculation method. The initial power flow distribution comprises an active power P eq,k of the equivalent load of each node and a reactive power Q eq,k of the equivalent load of each node. Initial values of the voltages of all nodes and the total loss of the system line are obtained.
And defining a sensitivity index (first evaluation index) of the circuit loss relative to the reactive power in the power distribution network of the agriculture and animal husbandry area, wherein the index represents the variation of the circuit active loss P loss caused by the reactive power variation of the equivalent load of the unit node when the reactive power varies within a certain range.
The first evaluation index is expressed as:
Wherein, CI' 1,k represents a first evaluation index of the kth node, P loss represents line active loss caused by unit node equivalent load reactive power change, Q eq,k represents equivalent load reactive power of the kth node, R m represents branch resistance of the mth node, and U m+1 represents branch voltage of the (m+1) th node.
And defining an evaluation index (second evaluation index) of the influence degree of the equivalent load reactive power of each node in the power distribution network of the agriculture and animal husbandry area on the active power loss of the line, wherein the index represents the total active power loss reduction amount of the system line when the node equivalent load reactive power injection of a single node is completely compensated.
The second evaluation index is expressed as:
Wherein CI' 2,k represents a second evaluation index of the kth node, Q eq,m-1 represents the equivalent load reactive power of the (m-1) th node, Q eq,k-1 represents the equivalent load reactive power of the (k-1) th node, and R m-1 represents the branch resistance of the (m-1) th node.
And defining a sensitivity index (third evaluation index) of the line loss relative to the node voltage in the power distribution network of the agriculture and animal husbandry area, wherein the index represents the line active loss variation caused by unit node voltage variation when the voltage varies within a certain range.
The third evaluation index is expressed as:
Wherein CI' 3,k represents a third evaluation index of the kth node, U k represents the branch voltage of the kth node, P eq,k represents the equivalent load active power of the kth node, and R k-1 represents the branch resistance of the kth-1 node.
An evaluation index (fourth evaluation index) of the voltage stability of each node in the power distribution network of the agriculture and animal husbandry is defined, and the index represents the voltage stability level of each node.
The fourth evaluation index is expressed as:
Wherein CI' 4,k represents the fourth evaluation index of the kth node, X k represents the branch reactance of the kth node, and R k represents the branch resistance of the kth node.
Step 104 specifically includes:
the first, second, and fourth evaluation indexes are classified as forward evaluation indexes.
And dividing the third evaluation index into negative evaluation indexes.
The formula of the forward index standardization process is as follows:
Wherein CI i,k represents the ith evaluation index after normalization of the kth node, CI' i,k represents the ith evaluation index before normalization of the kth node
The formula of the negative index standardization process is as follows:
And calculating entropy values corresponding to the capacitor address (node) by adopting an entropy weight method, and carrying out weighted superposition calculation on the comprehensive scores of each node serving as the capacitor address node in the power distribution network of the agriculture and animal husbandry according to the entropy weight of the capacitor address.
The calculation formula of the entropy weight is as follows:
Wherein, W i represents the entropy weight of the i-th standardized evaluation index, e i represents the entropy value of the i-th standardized evaluation index, n is the number of nodes, and CI i,k represents the i-th standardized evaluation index of the k-th node.
The calculation formula of the comprehensive score is as follows:
wherein S k represents the composite score of the kth node, W i represents the entropy weight of the normalized ith evaluation index, and CI i,k represents the normalized ith evaluation index of the kth node.
And the comprehensive scores of all the nodes in the power distribution network of the agriculture and animal husbandry are arranged in a descending order, the higher the comprehensive scores of the nodes are, the higher the probability of being selected as the capacitor installation position is, and finally, the optimal capacitor site selection scheme in the power distribution network of the agriculture and animal husbandry is generated according to the sequencing result of the comprehensive scores of all the nodes.
The capacitor multi-index weighted location selection method of the designed agriculture and animal husbandry power distribution network is applied to an actual agriculture and animal husbandry power distribution network and an actual agriculture and animal husbandry power distribution network, network topology diagrams are shown in fig. 2 and 4, fig. 3 is a comparison of various calculation results of the network topology diagrams in fig. 2, fig. 5 is a comparison of various calculation results of the network topology diagrams in fig. 4, fig. 3 (a) and fig. 5 (a) are node voltage comparison, fig. 3 (b) and fig. 5 (b) are branch active mahonia loss comparison, and fig. 4 PV is a photovoltaic access position. For both examples, a sensitivity (Loss Sensitivity to Q, lsi_q) Index method of line Loss with respect to reactive Power, a sensitivity (Loss Sensitivityto V, lsi_v) Index method of line Loss with respect to node voltage, a Power Loss Index (PLI) method, a voltage stability Index (Voltage Stability Index, VSI) method, and an entropy weight method adopted in this example were used for comparison, and the execution results of the obtained methods of this example are described in tables 1 and 2 below.
Table 1 comparison of calculation results of capacitor multi-index weighted site selection method of passive power distribution system in agriculture and animal husbandry
Table 2 comparison of calculation results of capacitor multi-index weighted site selection method for active power distribution system in agriculture and animal husbandry
According to the method, capacitor site selection optimization is carried out in a weighted mode, comprehensive scores of all nodes in the power distribution network of the agriculture and animal husbandry are objectively calculated as capacitor site selection nodes, the classical particle swarm algorithm is used for determining the installation capacity of each capacitor by taking the minimum total loss cost of a system circuit as an optimization target, an optimal configuration scheme of the capacitors in the power distribution network of the agriculture and animal husbandry is generated on the basis, the determination of the optimal position and the optimal capacity of the capacitors in reactive power optimization of the power distribution network is realized, the working efficiency is improved, the voltage of each node and the total loss result of the system circuit are analyzed, and the voltage quality of the power distribution network operation of the agriculture and animal husbandry and the reactive power compensation loss reduction effect are remarkably improved.
Example 2
A computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of a capacitor addressing method for an agriculture and animal husbandry distribution network of embodiment 1.
Example 3
A computer program product comprising a computer program which when executed by a processor performs the steps of a capacitor addressing method for an agriculture and animal farm distribution grid of embodiment 1.
Example 4
A computer device may be internally structured as shown in fig. 6. The computer device includes a processor, a memory, an Input/Output interface (I/O) and a communication interface. The processor, the memory and the input/output interface are connected through a system bus, and the communication interface is connected to the system bus through the input/output interface. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The database of the computer device is used to store the pending transactions. The input/output interface of the computer device is used to exchange information between the processor and the external device. The communication interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by the processor to implement a capacitor locating method for an agriculture and animal husbandry electric distribution network of embodiment 1.
The object information (including, but not limited to, object device information, object personal information, etc.) and the data (including, but not limited to, data for analysis, stored data, presented data, etc.) according to the present invention are information and data authorized by the object or sufficiently authorized by each party.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, database, or other medium used in embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high density embedded nonvolatile Memory, resistive random access Memory (ReRAM), magneto-resistive random access Memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric Memory (Ferroelectric Random Access Memory, FRAM), phase change Memory (PHASE CHANGE Memory, PCM), graphene Memory, and the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, and the like. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as Static Random access memory (Static Random access memory AccessMemory, SRAM) or dynamic Random access memory (Dynamic Random Access Memory, DRAM), and the like. The databases referred to in the embodiments provided herein may include at least one of a relational database and a non-relational database. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processor referred to in the embodiments provided in the present invention may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic unit, a data processing logic unit based on quantum computing, or the like, but is not limited thereto.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The principles and embodiments of the present invention have been described herein with reference to specific examples, the description of which is intended only to assist in understanding the methods of the present invention and the core ideas thereof; also, it is within the scope of the present invention to be modified by those of ordinary skill in the art in light of the present teachings. In view of the foregoing, this description should not be construed as limiting the invention.
Claims (9)
1. A capacitor locating method for an agricultural and pastoral power distribution network, comprising:
calculating initial power flow distribution of the power distribution network in the agriculture and animal husbandry;
Calculating initial line total loss and initial system minimum voltage according to initial power flow distribution;
According to reactive power, active power and node voltage of the power distribution network in the agriculture and animal husbandry, calculating a first evaluation index, a second evaluation index, a third evaluation index and a fourth evaluation index of each node in the power distribution network in the agriculture and animal husbandry; the first evaluation index is a sensitivity index of line loss relative to reactive power, the second evaluation index is an evaluation index of the influence degree of equivalent load reactive power on the line active loss, the third evaluation index is a sensitivity index of line loss relative to node voltage, and the fourth evaluation index is an evaluation index of node voltage stability;
Respectively normalizing the first evaluation index, the second evaluation index, the third evaluation index and the fourth evaluation index of each node;
Calculating entropy weight of each standardized evaluation index corresponding to each node by using an entropy weight method; each standardized evaluation index comprises a first evaluation index, a second evaluation index, a third evaluation index and a fourth evaluation index after standardization;
For each node, determining the comprehensive score of each node by adopting a weighted superposition analysis method according to each standardized evaluation index and each entropy weight;
taking the node with the highest comprehensive score as the current installation position of the capacitor in the power distribution network of the agriculture and animal husbandry;
Determining the current installation capacity of the capacitor by adopting a particle swarm algorithm according to the current installation position of the capacitor and the installation capacity range of the capacitor and with the aim of minimizing the total line loss of the power distribution network in the agriculture and animal husbandry;
calculating current power flow distribution of the power distribution network in the agriculture and animal husbandry after the capacitor with the current installation capacity is installed at the current installation position, and calculating the total loss of the current line and the lowest voltage of the current system according to the current power flow distribution;
outputting a current installation position and a current installation capacity if the current line total loss is smaller than the initial line total loss and the current system minimum voltage is larger than the initial system minimum voltage;
If the total loss of the current line is greater than or equal to the total loss of the initial line or the lowest voltage of the current system is less than or equal to the lowest voltage of the initial system, removing the node with the highest comprehensive score, selecting the node with the highest comprehensive score from the rest nodes as the current installation position of the capacitor in the power distribution network of the agriculture and animal husbandry, returning to the step of determining the current installation capacity of the capacitor by adopting a particle swarm algorithm according to the current installation position of the capacitor and the installation capacity range of the capacitor and taking the total loss of the line of the power distribution network of the agriculture and animal husbandry as a target.
2. The capacitor locating method of an agriculture and animal husbandry power distribution network according to claim 1, wherein calculating an initial power flow distribution of the agriculture and animal husbandry power distribution network specifically comprises:
And calculating the initial power flow distribution of the power distribution network in the agriculture and animal husbandry by adopting a forward push back generation power flow calculation method.
3. The capacitor site selection method of an agricultural and grazing area distribution network of claim 1, wherein the first evaluation index is expressed as:
Wherein, CI' 1,k represents a first evaluation index of the kth node, P loss represents line active loss caused by unit node equivalent load reactive power change, Q eq,k represents equivalent load reactive power of the kth node, R m represents branch resistance of the mth node, and U m+1 represents branch voltage of the (m+1) th node;
The second evaluation index is expressed as:
Wherein CI' 2,k represents a second evaluation index of the kth node, Q eq,m-1 represents the equivalent load reactive power of the (m-1) th node, Q eq,k-1 represents the equivalent load reactive power of the (k-1) th node, and R m-1 represents the branch resistance of the (m-1) th node;
the third evaluation index is expressed as:
Wherein CI' 3,k represents a third evaluation index of the kth node, U k represents the branch voltage of the kth node, P eq,k represents the equivalent load active power of the kth node, and R k-1 represents the branch resistance of the kth-1 node;
The fourth evaluation index is expressed as:
Wherein CI' 4,k represents the fourth evaluation index of the kth node, X k represents the branch reactance of the kth node, and R k represents the branch resistance of the kth node.
4. The capacitor site selection method of an agricultural and grazing area distribution network according to claim 1, wherein the first, second, third and fourth evaluation indexes of each node are normalized respectively, specifically comprising:
Dividing the first evaluation index, the second evaluation index and the fourth evaluation index into forward evaluation indexes;
Dividing the third evaluation index into negative evaluation indexes;
The formula of the forward index standardization process is as follows:
Wherein CI i,k represents the ith evaluation index after normalization of the kth node, CI i′,k represents the ith evaluation index before normalization of the kth node
The formula of the negative index standardization process is as follows:
5. the capacitor location method of an agricultural and pastoral area distribution network according to claim 1, wherein the calculation formula of the entropy weight is:
Wherein, W i represents the entropy weight of the i-th standardized evaluation index, e i represents the entropy value of the i-th standardized evaluation index, n is the number of nodes, and CI i,k represents the i-th standardized evaluation index of the k-th node.
6. The capacitor locating method of an agricultural and grazing area distribution network according to claim 1, wherein the calculation formula of the comprehensive score is:
wherein S k represents the composite score of the kth node, W i represents the entropy weight of the normalized ith evaluation index, and CI i,k represents the normalized ith evaluation index of the kth node.
7. A computer device, comprising: a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor executes the computer program to implement the steps of the capacitor addressing method of an agriculture and animal husbandry electric distribution network as claimed in any one of claims 1-6.
8. A computer readable storage medium having stored thereon a computer program, characterized in that the computer program, when executed by a processor, implements the steps of the capacitor addressing method of an electric distribution network of an agriculture and animal husbandry as claimed in any one of claims 1-6.
9. A computer program product comprising a computer program, characterized in that the computer program, when executed by a processor, implements the steps of the capacitor addressing method of an electric distribution network of an farming-pasture area as defined in any one of claims 1-6.
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