CN106056304A - Flexible DC interconnection device address selection method and device - Google Patents
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Abstract
The invention discloses a flexible DC interconnection device address selection method and device. The method comprises the following steps: determining power demand parameters of a plurality of adjacent subregion pairs in a preset installation area respectively, wherein the adjacent subregion pairs are adjacent two regions of subregions of a power network in the preset installation area, and the power demand parameters are parameters of power demands of the adjacent subregion pairs for a flexible DC interconnection device; removing the adjacent subregion pairs, the power demand parameters of which are lower than a preset parameter threshold value, in the plurality of adjacent subregion pairs to obtain a plurality of adjacent subregion pairs to be selected; and calculating evaluation index parameters of the plurality of adjacent subregion pairs to be selected according to a preset evaluation model, wherein the evaluation index parameters serve as evaluation index for selecting an installation address for the flexible DC interconnection device in the plurality of adjacent subregion pairs to be selected. Through the method and device, the problem of low efficiency of a method for selecting the installation address for the flexible DC interconnection device in the city in the prior art is solved.
Description
Technical Field
The invention relates to the field of electric power, in particular to an address selection method and device of a flexible direct current interconnection device.
Background
In order to solve the problem of overlarge short-circuit current of a power grid, the power grid of a large city generally adopts a 220kV voltage class partition operation mode, and each area operates independently. The installed capacity of a local power supply of each partition is generally far from meeting the load requirement, emergency power support is carried out among the partitions so that adjacent partitions are mutually standby, and therefore the emergency is very necessary. The flexible direct-current transmission is used as a new generation direct-current transmission technology to solve a plurality of power grid operation problems, and projects show that partition interconnection can be realized by installing flexible direct-current interconnection devices among power grid partitions.
The flexible and straight technology has been studied to some extent on the functional requirements, control principle and architecture of load center network division operation. However, since the flexible interconnection technology between the urban power grids is relatively new, in the prior art, the method for selecting a suitable address for installing the flexible direct current interconnection device in a partitioned manner in the urban power grid planning stage generally evaluates the advantages and disadvantages of the installation address of the flexible direct current interconnection device by solving a multi-target function to solve a multi-target evaluation index of each installation address to be selected, the specific solving method comprises a particle swarm algorithm, a genetic algorithm, an ant colony algorithm and the like, the accuracy of a calculation result is relatively high, but the efficiency of a method for calculating all the installation addresses between cities is relatively low.
Aiming at the problem that the method for selecting and installing the address of the flexible direct current interconnection device in the city in the related art is low in efficiency, an effective solution is not provided at present.
Disclosure of Invention
The invention mainly aims to provide an address selection method and device of a flexible direct current interconnection device, and aims to solve the problem that the efficiency of a method for selecting and installing an address of the flexible direct current interconnection device in a city in the related art is low.
In order to achieve the above object, according to an aspect of the present invention, there is provided an address selection method of a flexible dc interconnect device. The method comprises the following steps: respectively determining power demand parameters of a plurality of adjacent partition pairs in a preset installation area, wherein the adjacent partition pairs are two adjacent areas partitioned on a power network of the preset installation area, and the power demand parameters are parameters of power demands of the adjacent partition pairs on the flexible direct current interconnection device; removing adjacent partition pairs with the power demand parameters lower than a preset parameter threshold value from the plurality of adjacent partition pairs to obtain a plurality of adjacent partition pairs to be selected; and respectively calculating evaluation index parameters of the adjacent partition pairs to be selected according to a preset evaluation model, wherein the evaluation index parameters are used as evaluation indexes of addresses for selectively installing the flexible direct current interconnection devices in the adjacent partition pairs to be selected.
Further, determining the power demand parameters of the plurality of adjacent partition pairs in the preset installation area respectively comprises: determining adjacent partition pairs in a preset installation area to obtain a plurality of adjacent partition pairs; respectively determining active demand parameters of a plurality of adjacent partition pairs; respectively determining reactive power demand parameters of a plurality of adjacent partition pairs, and removing the adjacent partition pairs with the power demand parameters lower than a preset parameter threshold value from the plurality of adjacent partition pairs to obtain a plurality of adjacent partition pairs to be selected, wherein the step of obtaining the adjacent partition pairs to be selected comprises the following steps: removing adjacent partition pairs with active demand parameters lower than a preset active demand parameter threshold value from the plurality of adjacent partition pairs to obtain a first group of adjacent partition pairs; and removing the adjacent partition pairs with the reactive power demand parameters lower than the preset reactive power demand parameter threshold value in the first group of adjacent partition pairs to obtain a second group of adjacent partition pairs, wherein the second group of adjacent partition pairs comprises a plurality of adjacent partition pairs to be selected.
Further, after obtaining the second set of neighboring partition pairs, the method further comprises: calculating the sorting coefficient of each adjacent partition pair in the second group of adjacent partition pairs according to a preset algorithm, wherein the preset algorithm is used for calculating the sorting coefficient according to the active demand parameter and the reactive demand parameter of the adjacent partition pairs; and selecting the adjacent partition pairs of the second group of adjacent partition pairs, the sorting coefficient of which exceeds the preset sorting coefficient threshold value, so as to obtain a plurality of adjacent partition pairs to be selected.
Further, before the evaluation index parameters of the plurality of to-be-selected adjacent partition pairs are respectively calculated according to the preset evaluation model, the method further includes: determining a plurality of evaluation factor formulas of a preset evaluation model, wherein the plurality of evaluation factor formulas are respectively used for calculating a plurality of influence factors of the preset evaluation model; respectively determining weight coefficients corresponding to a plurality of influence factors; multiplying the plurality of influence factors by the corresponding weight coefficients respectively to obtain a plurality of weight factor parameters; and adding the plurality of weight factor parameters to obtain an evaluation index parameter.
Further, determining the weighting coefficients corresponding to the plurality of influence factors respectively includes: respectively determining the evaluation attributes of the plurality of influence factors to obtain a plurality of evaluation attributes; respectively establishing a plurality of weight coefficient matrixes of the evaluation attributes through a digital scaling method; and confirming the weight coefficient of the influence factor under each evaluation attribute in the plurality of evaluation attributes respectively according to the weight coefficient matrix.
In order to achieve the above object, according to another aspect of the present invention, there is provided an address selection device of a flexible dc interconnection device. The device includes: the device comprises a first determining unit, a second determining unit and a control unit, wherein the first determining unit is used for respectively determining power demand parameters of a plurality of adjacent partition pairs in a preset installation area, the adjacent partition pairs are two adjacent areas partitioned on a power network of the preset installation area, and the power demand parameters are parameters of power demands of the adjacent partition pairs on the flexible direct current interconnection device; the logic unit is used for removing the adjacent partition pairs with the power demand parameters lower than the preset parameter threshold value from the adjacent partition pairs to obtain a plurality of adjacent partition pairs to be selected; and the calculation unit is used for calculating evaluation index parameters of the adjacent partition pairs to be selected according to a preset evaluation model, wherein the evaluation index parameters are used as evaluation indexes of addresses for selectively installing the flexible direct current interconnection devices in the adjacent partition pairs to be selected.
Further, the first determination unit includes: the first determining module is used for determining adjacent partition pairs in a preset installation area to obtain a plurality of adjacent partition pairs; the second determining module is used for respectively determining active demand parameters of a plurality of adjacent partition pairs; a third determining module, configured to determine reactive demand parameters of a plurality of adjacent partition pairs, respectively, where the logic unit includes: the first deleting module is used for removing the adjacent partition pairs with the active demand parameters lower than the preset active demand parameter threshold value from the plurality of adjacent partition pairs to obtain a first group of adjacent partition pairs; and the second deleting module is used for removing the adjacent partition pairs with the reactive power demand parameters lower than the preset reactive power demand parameter threshold value from the first group of adjacent partition pairs to obtain a second group of adjacent partition pairs, wherein the second group of adjacent partition pairs comprises a plurality of adjacent partition pairs to be selected.
Further, the calculating unit is further configured to calculate a ranking coefficient of each adjacent partition pair in the second group of adjacent partition pairs according to a preset algorithm, where the preset algorithm is configured to calculate the ranking coefficient according to an active demand parameter and a reactive demand parameter of the adjacent partition pairs, and the apparatus further includes: and the selecting unit is used for selecting the adjacent partitions of the second group of adjacent partition pairs, the sorting coefficients of which exceed the preset sorting coefficient threshold value, so as to obtain a plurality of adjacent partition pairs to be selected.
Further, the apparatus further comprises: the second determining unit is used for determining a plurality of evaluation factor formulas of the preset evaluation model, wherein the plurality of evaluation factor formulas are respectively used for calculating a plurality of influence factors of the preset evaluation model; a third determining unit, configured to determine weight coefficients corresponding to the multiple influence factors, respectively; the calculating unit is further configured to multiply the plurality of influence factors with the corresponding weight coefficients respectively to obtain a plurality of weight factor parameters, and add the plurality of weight factor parameters to obtain an evaluation index parameter.
Further, the third determination unit includes: the fourth determining module is used for respectively determining the evaluation attributes of the plurality of influencing factors to obtain a plurality of evaluation attributes; the establishing module is used for respectively establishing a plurality of weight coefficient matrixes of the evaluation attributes through a digital scaling method; and the fifth determining module is used for respectively determining the weight coefficient of the influence factor under each evaluation attribute in the plurality of evaluation attributes according to the weight coefficient matrix.
According to the method, the adjacent partition pairs with the power demand parameters lower than the preset parameter threshold value are eliminated after the power demand parameters of the adjacent partition pairs in the preset installation area are respectively determined, so that the problem of low efficiency of a method for selecting and installing the address of the flexible direct current interconnection device in the city in the related art is solved, and the evaluation index parameters are calculated according to the preset evaluation model in the adjacent partition pairs to be selected obtained after the adjacent partition pairs with the power demand parameters lower than the preset parameter threshold value are eliminated, so that the effect of improving the efficiency of the method for selecting and installing the address of the flexible direct current interconnection device in the city is achieved.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this application, illustrate embodiments of the invention and, together with the description, serve to explain the invention and not to limit the invention. In the drawings:
fig. 1 is a flowchart of an address selection method of a flexible dc interconnect device according to an embodiment of the present invention; and
fig. 2 is a schematic diagram of an address selection device of a flexible dc interconnect device according to an embodiment of the present invention.
Detailed Description
It should be noted that the embodiments and features of the embodiments in the present application may be combined with each other without conflict. The present invention will be described in detail below with reference to the embodiments with reference to the attached drawings.
In order to make the technical solutions better understood by those skilled in the art, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only partial embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that the terms "first," "second," and the like in the description and claims of this application and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It should be understood that the data so used may be interchanged under appropriate circumstances such that embodiments of the application described herein may be used. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
The embodiment of the invention provides an address selection method of a flexible direct current interconnection device.
Fig. 1 is a flowchart of an address selection method of a flexible dc interconnect device according to an embodiment of the present invention. As shown in fig. 1, the method comprises the steps of:
step S101, respectively determining power demand parameters of a plurality of adjacent partition pairs in a preset installation area.
The preset installation area is a preset area for installing the flexible direct current interconnection device, and optionally, the preset installation area may be a city unit. The flexible direct current interconnection device is a device installed on a tie line between two adjacent partitions in a preset installation area, and can be used for performing power exchange between the two partitions.
The adjacent partition pairs are two adjacent areas partitioned on the power network of the preset installation area, the multiple adjacent partition pairs are adjacent partition pairs on the partition of the power network in the preset installation area, the preset installation area can comprise multiple partitions, each partition has at least one adjacent partition in the power network, and the preset installation area can comprise multiple adjacent partition pairs.
The power demand parameter is a parameter of the power demand of the adjacent partition pair on the flexible direct current interconnection device. The power requirement is related to the power supply capacity of each partition, and the power requirement of the flexible direct current interconnection device of the adjacent partition pair indicates that the power supply capacity of at least one partition in the adjacent partition pair is not enough to support the power supply requirement of the flexible direct current interconnection device, so that the power requirement is provided for the adjacent partition, namely, the flexible direct current interconnection device needs to be installed to perform power grid interconnection of two partitions, and power exchange between the two partitions is performed. The power demand may include reactive demand and active demand.
Step S102, removing the adjacent partition pairs with the power demand parameters lower than the preset parameter threshold value from the plurality of adjacent partition pairs to obtain a plurality of adjacent partition pairs to be selected.
After the power demand parameters of a plurality of adjacent partition pairs in the preset installation area are respectively determined, the adjacent partition pairs with the power demand parameters lower than a preset parameter threshold value are removed from the adjacent partition pairs, and a plurality of adjacent partition pairs to be selected are obtained. The preset parameter threshold may be a predetermined threshold used as a criterion for determining whether the adjacent partition pair needs to install the power demand parameter of the flexible dc interconnect device. By the step, the adjacent partition pairs with the power demand parameter lower than the preset parameter threshold can be eliminated, and the efficiency of the method for selecting and installing the address of the flexible direct current interconnection device can be improved by selecting and installing the address of the flexible direct current interconnection device in the plurality of adjacent partition pairs to be selected.
And step S103, respectively calculating the evaluation index parameters of a plurality of adjacent partition pairs to be selected according to a preset evaluation model.
After a plurality of adjacent partition pairs to be selected are obtained, the evaluation index parameters of the adjacent partition pairs to be selected are respectively calculated according to a preset evaluation model. The preset evaluation model may be a predetermined evaluation model, and the model may include one or more calculation formulas, and the evaluation index parameters of the plurality of candidate adjacent partition pairs are obtained by calculating the preset evaluation model of the plurality of candidate adjacent partition pairs, and the evaluation index parameters may be used as evaluation indexes of addresses for selectively installing the flexible direct current interconnection devices in the plurality of candidate adjacent partition pairs. The adjacent partition pair with the most value of the evaluation index parameter in the plurality of adjacent partition pairs to be selected can be used as an address for installing the flexible direct current interconnection device.
In the address selection method for a flexible dc interconnect device provided in this embodiment, after power demand parameters of a plurality of adjacent partition pairs in a preset installation area are respectively determined, the adjacent partition pair whose power demand parameter is lower than a preset parameter threshold is excluded, so that a problem in the related art that an efficiency of a method for selecting and installing an address of a flexible dc interconnect device in a city is low is solved, and evaluation index parameters are calculated according to a preset evaluation model in a plurality of adjacent partition pairs to be selected, which are obtained after the adjacent partition pair whose power demand parameter is lower than the preset parameter threshold is excluded, so as to achieve an effect of improving an efficiency of a method for selecting and installing an address of a flexible dc interconnect device in a city.
The determining the power demand parameters of the plurality of adjacent partition pairs in the preset installation area respectively may include the steps of: determining adjacent partition pairs in a preset installation area to obtain a plurality of adjacent partition pairs; respectively determining active demand parameters of a plurality of adjacent partition pairs; and respectively determining reactive demand parameters of a plurality of adjacent partition pairs. Removing the adjacent partition pairs with the power demand parameter lower than the preset parameter threshold value from the plurality of adjacent partition pairs to obtain a plurality of candidate adjacent partition pairs may include: removing adjacent partition pairs with active demand parameters lower than a preset active demand parameter threshold value from the plurality of adjacent partition pairs to obtain a first group of adjacent partition pairs; and removing the adjacent partition pairs with the reactive power demand parameters lower than the preset reactive power demand parameter threshold value in the first group of adjacent partition pairs to obtain a second group of adjacent partition pairs, wherein the second group of adjacent partition pairs comprises a plurality of adjacent partition pairs to be selected. The steps of removing the adjacent partition pairs with the active demand parameters lower than the preset active demand parameter threshold value and the steps of removing the adjacent partition pairs with the reactive demand parameters lower than the preset reactive demand parameter threshold value can exchange the sequence, and only the adjacent partition pairs with the reactive demand parameters lower than the preset reactive demand parameter threshold value and the active demand parameters lower than the preset active demand parameter threshold value are removed.
After the second group of adjacent partition pairs is obtained, the range of selecting addresses for installing the flexible direct current interconnection device can be further narrowed, specifically, the sorting coefficient of each adjacent partition pair in the second group of adjacent partition pairs can be calculated according to a preset algorithm, the adjacent partition pair in the second group of adjacent partition pairs with the sorting coefficient exceeding a preset sorting coefficient threshold is selected, and a plurality of adjacent partition pairs to be selected are obtained, wherein the preset algorithm is used for calculating the sorting coefficient according to the active demand parameter and the reactive demand parameter of the adjacent partition pairs. The range of the address for selectively installing the flexible direct current interconnection device can be further narrowed by preferentially selecting the adjacent partition pairs with the front preset positions from the adjacent partition pairs with the reactive demand parameters higher than the preset reactive demand parameter threshold value and the active demand parameters higher than the preset active demand parameter threshold value.
Preferably, before the evaluation index parameters of the plurality of to-be-selected adjacent partition pairs are respectively calculated according to the preset evaluation model, the method may further include: determining a preset evaluation model, wherein determining the preset evaluation model comprises: determining a plurality of evaluation factor formulas of a preset evaluation model, wherein the plurality of evaluation factor formulas are respectively used for calculating a plurality of influence factors of the preset evaluation model; respectively determining weight coefficients corresponding to a plurality of influence factors; multiplying the plurality of influence factors by the corresponding weight coefficients respectively to obtain a plurality of weight factor parameters; and adding the plurality of weight factor parameters to obtain an evaluation index parameter.
Determining the weighting coefficients corresponding to the plurality of influence factors respectively may include: respectively determining the evaluation attributes of the plurality of influence factors to obtain a plurality of evaluation attributes; respectively establishing a plurality of weight coefficient matrixes of the evaluation attributes through a digital scaling method; and confirming the weight coefficient of the influence factor under each evaluation attribute in the plurality of evaluation attributes respectively according to the weight coefficient matrix.
After determining a plurality of candidate adjacent partition pairs, as a preferred implementation of the preset evaluation model in the foregoing embodiment, the preset evaluation model may be as follows:
GBest＝max(G1,G2,…,Gn) Equation 1
In the formula, GBestAn evaluation index parameter for the optimal installation position; gnAn evaluation index parameter for the nth mounting position; piIs the value of the ith influencing factor of the first layer; lambda [ alpha ]iThe weight of the ith influencing factor of the first layer; w is ajThe weight of the jth index of the second layer; fnjIs the jth index coefficient of the second layer of the nth scheme.
Equation 1 indicates that the optimum mounting position is the mounting position at which the evaluation index parameter is maximum. Formula 2 represents a model of evaluation index parameters of the scheme, the model includes two layers, the first layer includes p influencing factors, and each influencing factor includes q evaluation indexes. Index coefficients F of all evaluation indexes included in each influence factornjWeights w respectively corresponding theretojMultiplying and then summing to obtain the value P of the influencing factoriValue P of each influencing factoriAnd then respectively associated with respective weights λiMultiplying and then summing to obtain the evaluation index parameter G of the nth schemen。
Specifically, the influence factor of selecting the mounting address of the flexible dc interconnect device includes flexibility P1Safety and reliability P2And economy P3Three kinds of the components are adopted. Flexibility includes load balancing index F1And power supply capacity improvement index F4Safe reliability P2Including a static safety index F2Dynamic reactive voltage stability index F3Short-circuit current reduction index F5And a power supply reliability index F6Economy P3Including an economic indicator F7。F1～F7The specific formula of (A) is as follows:
in the formula, F1For load balance index, respectively calculating and obtaining the minimum value β of the load rate of the 500kV main transformer in a subarea before the flexible direct current interconnection device is installed at a certain installation position through an analysis program of the power systemminAnd maximum value βmaxAnd the minimum value β of the load ratio of the 500kV main transformer in the subarea after the flexible direct current interconnection device is installedmin' sum maximum βmax'. The reduction ratio of the load factor range of the 500kV main transformer after the device is installed can be calculated through a formula 3, namely F1, wherein the larger the F1 is, the better the load balancing effect is.
In the formula, F2 is a static safety index, static safety simulation is carried out on each to-be-selected adjacent partition pair before and after the installation device by using an electric power system analysis program, namely N-1 and N-2 faults are set on elements in the partitions, the number Nq of faults with static safety problems is obtained according to simulation results, whether the device can solve or slow down the partition static safety problems or not is judged by using software simulation, the number of the solved problems is Nq1, and the number of the relieved problems is Nq 2. a is a relaxation coefficient indicating how much the problem is solved, and is referred to as "0.5" here. The solution degree of the partition static safety problem can be obtained according to the formula, namely F2, and the larger the F2 is, the better the effect of the device on solving the static safety problem is.
In the formula, F3 is a dynamic reactive voltage stabilization index, μ is a minimum bus voltage boost ratio after installation of the device for a normal fault, τ is a voltage recovery time reduction ratio after installation of the device for a normal fault, α is a fault pass rate boost ratio after installation of the device for an unconventional fault, b is a normal fault effect weight (where b is 0.3), c is an unconventional fault effect weight (where c is 0.7), and U is a voltage of the busminBus minimum voltage, U, for a certain conventional fault before installation of the devicemin'is the lowest voltage of the bus after installation of the device, t is the voltage recovery time of a certain conventional fault before installation, t' is the corresponding voltage recovery time after installation of the device, NdSetting a total number, N, for unconventional faultsd1Number of unconventional faults, N, for the device to be unstabilized before installationd1The result shows that the larger the mu, the tau and the α are, the larger the F3 is, and the better the effect of the device on the dynamic reactive voltage stabilization of the subareas is.
In the formula, F4 is a power supply capacity improvement index, the maximum power supply capacity of each to-be-selected adjacent partition pair is calculated before and after the installation device by using a power system analysis program, and the maximum power supply capacities T of the two partitions before and after installation are respectively obtainedTSCAnd TTSC' the improvement ratio of the power supply capacity of the two partitions after the device is installed can be calculated by using the formula, and the larger F4 is, the better the improvement effect of the power supply capacity of the partitions is.
In the formula, F5 is a short-circuit current reduction index, the three-phase short-circuit current of each bus in each partition can be obtained by simulation calculation of an electric power system analysis program, and the value of the short-circuit current before installation of the device and the rated short-circuit current are recordedCurrent IeBus short-circuit current I with ratio exceeding 0.9iShort-circuit current I of the corresponding bus after installation of the devicei' the number of the buses in the section is m, the reduction ratio of the short-circuit current of the buses after the installation of the device can be obtained through calculation, and the average value of the reduction ratios is F5, wherein the higher the F5 is, the better the effect of the device in controlling the level of the short-circuit current is.
In the formula, F6 is a reliability improvement index. The loss of load probability (LOLP) and expected energy supply (EENS) of each partition before and after the installation device are calculated and obtained based on partition data, the reliability improvement rate of a single partition after the installation device can be obtained by utilizing the formula, and each scheme can take the effect of the two-partition average value reaction device on the reliability improvement, wherein the larger F6 is, the better the reliability improvement effect is.
In the formula, F7 is an economic indicator. And calculating the loss and the income of each subarea after the flexible interconnection device is installed based on the subarea data. A is a given reference value, B is loss, C1 is the gain of power supply capacity improvement, C2 is the gain of reliability improvement, wherein the larger F7 is, the better the total economy after installation is.
As a preferred implementation of the above embodiment, the steps S101 to S102 may be as follows:
step one, screening out adjacent subarea pairs with active demand parameters lower than a preset parameter threshold value according to the active demand parameters of the adjacent subarea pairs in the preset installation area.
Note that each adjacent partition pair includes two partitions: the formula adopted in the first step can be shown as follows:
wherein,
in the formula, omegasiftFor screening out, omega for all possible installation schemes in city power network βTThe load rate of a main transformer of a subarea is changed;the average load rate of the main transformer of the subarea is obtained; sTThe actual maximum power supply load of the main transformer is obtained; seTThe rated capacity of the main transformer is obtained; rSFor the partition capacity-load ratio, it should be noted that the partition capacity-load ratio takes into account the capacity of the power plant in the partition in addition to the main transformer capacity during calculation; seGRated capacity for power plant, actual maximum power supply load for sub-area, βmaxThe upper limit of the load rate of the main transformer is set, and if the upper limit is exceeded, the partition active power margin is considered to be extremely low; rminAnd the lower limit of the partition capacity-load ratio is regarded as the extremely low partition active margin if the lower limit is lower.
Equation 10 shows that if two partitions are in the schemeAre all higher than the upper limit β of load factormaxOr R isSAre all lower than the lower limit R of the partition capacity-load ratiominIt should be directly screened out. Because the active margin available for support of the two partitions is low under the condition, the effect of installing the flexible interconnection device on improving the safety of the partitions is not obvious, and the partitions are recommended to improve the safety through other measures, such as newly-built power plants, main transformer expansion and the like. In addition, if there is no tie line between two adjacent partitions in the scheme and no tie line is considered to be constructed in a certain planning period, the project basic condition for installing the interconnection device between the partitions is lacked, and the tie line should be screened out.
And step two, screening out adjacent subarea pairs with the reactive power demand parameters lower than a preset parameter threshold value according to the reactive power demand parameters of the adjacent subarea pairs in the preset installation area.
The formula adopted in the second step can be shown as follows:
wherein,
in the formula, omegasift' is a screening scheme determined according to the reactive demand parameters; w is a source-load distribution coefficient, when W is smaller, the target node is free of reactive power, when W is larger, the target node is heavier in load and is short of power supply support, namely, the voltage weak point needs reactive power compensation; l isiRepresenting the maximum load value carried by each node of the partition; y isiRepresenting the electrical distance from each node to a target node, and recording the electrical distance of the target node as 1; pjRepresenting the maximum active power output provided by each power plant; y isjThe electrical distance from each power plant to the target node is shown, and the electrical distance from the power plant connected to the target node is marked as 1.
Equation 11 shows that if the source-to-charge distribution coefficient W is lower than the minimum coefficient W in the schememinIf so, the scheme should be screened out. Since the smaller W, the lighter the load or the existing power supply provides support at the location, i.e. the more sufficient its dynamic reactive power is, the less dynamic reactive power compensation needs to be provided.
Optionally, steps S101 to S102 may further include the following steps:
and step three, after the plurality of adjacent partition pairs are screened out according to the active demand parameters and the reactive demand parameters, sequencing the reserved adjacent partition pairs.
Specifically, after the first step and the second step are executed, β is determined according to the main load ratioTPartition capacity/load ratio RSAnd a source-load distribution coefficient W, and sorting the remaining schemes after screening. The case where the mounting effect is excellent among the indexes is as follows:
1) main transformer load factor βTA partition βTUpper and B partition βTLower. Under the condition, the capacity allowance of the main transformer of the partition B is large, active support can be provided for the partition A to reduce the load rate of the main transformer of the partition A, and the potential safety hazard of the partition A is solved.
2) Partition capacity to load ratio RS: a is a region RSLower and B partition RSHigher. In this case, the active margin of the partition B is large, and active support can be provided for the partition A to solve the potential safety hazard of the partition A.
3) Source-charge distribution coefficient W: if the W of the corresponding installation positions of the two subareas is larger or one subarea W is larger, the requirement of installing the device in the reactive power aspect can be preliminarily judged.
Based on the above analysis, the ranking coefficients of each scheme can be calculated using the following formula:
wherein,γ1+γ2+γ3＝1。
in the formula, theta is a sequencing coefficient, and the larger theta is, the better the scheme is; gamma is each index weight and is assigned according to the importance degree of the index weight; w' is the per unit value of the source-load distribution coefficient; wnIs the reference value of the source-charge distribution coefficient.
It should be noted that the steps illustrated in the flowcharts of the figures may be performed in a computer system such as a set of computer-executable instructions and that, although a logical order is illustrated in the flowcharts, in some cases, the steps illustrated or described may be performed in an order different than presented herein.
The embodiment of the invention also provides an address selection device of the flexible direct current interconnection device. It should be noted that the address selection device of the flexible dc interconnect device according to the embodiment of the present invention may be used to execute the address selection method of the flexible dc interconnect device according to the present invention.
Fig. 2 is a schematic diagram of an address selection device of a flexible dc interconnect device according to an embodiment of the present invention. As shown in fig. 2, the apparatus includes a first determination unit 10, a logic unit 20, and a calculation unit 30.
A first determining unit 10, configured to determine power demand parameters of a plurality of adjacent partition pairs in a preset installation area, respectively, where the adjacent partition pairs are two adjacent areas partitioned on a power network of the preset installation area, and the power demand parameter is a parameter of power demand of the adjacent partition pairs on the flexible dc interconnection apparatus; the logic unit 20 is configured to remove, from the multiple adjacent partition pairs, an adjacent partition pair whose power demand parameter is lower than a preset parameter threshold value, so as to obtain multiple adjacent partition pairs to be selected; and a calculating unit 30, configured to calculate, according to a preset evaluation model, evaluation index parameters of the multiple adjacent to-be-selected partition pairs, where the evaluation index parameters are used as evaluation indexes of addresses for selectively installing the flexible direct current interconnection devices in the multiple adjacent to-be-selected partition pairs.
The address selection device of the flexible dc interconnect device provided in this embodiment eliminates the adjacent partition pair whose power demand parameter is lower than the preset parameter threshold value after respectively determining the power demand parameters of the plurality of adjacent partition pairs in the preset installation area, thereby solving the problem of low efficiency of a method for selecting and installing an address of the flexible dc interconnect device in a city in the related art, and achieves the effect of improving the efficiency of selecting and installing an address of the flexible dc interconnect device in a city by calculating the evaluation index parameter according to the preset evaluation model in the plurality of adjacent partition pairs to be selected, which are obtained after eliminating the adjacent partition pair whose power demand parameter is lower than the preset parameter threshold value.
The first determination unit 10 may include: the first determining module is used for determining adjacent partition pairs in a preset installation area to obtain a plurality of adjacent partition pairs; the second determining module is used for respectively determining active demand parameters of a plurality of adjacent partition pairs; a third determining module, configured to determine the reactive demand parameters of the plurality of adjacent partition pairs, respectively, where the logic unit 20 includes: the first deleting module is used for removing the adjacent partition pairs with the active demand parameters lower than the preset active demand parameter threshold value from the plurality of adjacent partition pairs to obtain a first group of adjacent partition pairs; and the second deleting module is used for removing the adjacent partition pairs with the reactive power demand parameters lower than the preset reactive power demand parameter threshold value from the first group of adjacent partition pairs to obtain a second group of adjacent partition pairs, wherein the second group of adjacent partition pairs comprises a plurality of adjacent partition pairs to be selected.
The calculating unit 30 may further be configured to calculate a ranking coefficient of each neighboring partition pair in the second group of neighboring partition pairs according to a preset algorithm, where the preset algorithm is configured to calculate the ranking coefficient according to the active demand parameter and the reactive demand parameter of the neighboring partition pairs, and the apparatus further includes: and the selecting unit is used for selecting the adjacent partitions of the second group of adjacent partition pairs, the sorting coefficients of which exceed the preset sorting coefficient threshold value, so as to obtain a plurality of adjacent partition pairs to be selected.
Preferably, the apparatus may further comprise: the second determining unit is used for determining a plurality of evaluation factor formulas of the preset evaluation model, wherein the plurality of evaluation factor formulas are respectively used for calculating a plurality of influence factors of the preset evaluation model; a third determining unit, configured to determine weight coefficients corresponding to the multiple influence factors, respectively; the calculating unit is further configured to multiply the plurality of influence factors with the corresponding weight coefficients respectively to obtain a plurality of weight factor parameters, and add the plurality of weight factor parameters to obtain an evaluation index parameter.
The third determination unit may include: the fourth determining module is used for respectively determining the evaluation attributes of the plurality of influencing factors to obtain a plurality of evaluation attributes; the establishing module is used for respectively establishing a plurality of weight coefficient matrixes of the evaluation attributes through a digital scaling method; and the fifth determining module is used for respectively determining the weight coefficient of the influence factor under each evaluation attribute in the plurality of evaluation attributes according to the weight coefficient matrix.
It will be apparent to those skilled in the art that the modules or steps of the present invention described above may be implemented by a general purpose computing device, they may be centralized on a single computing device or distributed across a network of multiple computing devices, and they may alternatively be implemented by program code executable by a computing device, such that they may be stored in a storage device and executed by a computing device, or fabricated separately as individual integrated circuit modules, or fabricated as a single integrated circuit module from multiple modules or steps. Thus, the present invention is not limited to any specific combination of hardware and software.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. An address selection method of a flexible direct current interconnection device is characterized by comprising the following steps:
respectively determining power demand parameters of a plurality of adjacent partition pairs in a preset installation area, wherein the adjacent partition pairs are two adjacent areas partitioned on a power network of the preset installation area, and the power demand parameters are parameters of power demands of the adjacent partition pairs on a flexible direct current interconnection device;
removing the adjacent partition pairs with the power demand parameters lower than a preset parameter threshold value from the plurality of adjacent partition pairs to obtain a plurality of adjacent partition pairs to be selected; and
and respectively calculating evaluation index parameters of the plurality of adjacent partition pairs to be selected according to a preset evaluation model, wherein the evaluation index parameters are used as evaluation indexes of addresses for selectively installing the flexible direct current interconnection device in the plurality of adjacent partition pairs to be selected.
2. The method of claim 1,
determining the power demand parameters of the plurality of adjacent partition pairs in the preset installation area respectively comprises: determining adjacent partition pairs in the preset installation area to obtain a plurality of adjacent partition pairs; respectively determining active demand parameters of the plurality of adjacent partition pairs; respectively determining reactive demand parameters of the plurality of adjacent partition pairs,
removing the adjacent partition pairs with the power demand parameter lower than a preset parameter threshold value from the plurality of adjacent partition pairs to obtain a plurality of adjacent partition pairs to be selected, wherein the adjacent partition pairs to be selected comprise: removing the adjacent partition pairs with the active demand parameters lower than a preset active demand parameter threshold value from the plurality of adjacent partition pairs to obtain a first group of adjacent partition pairs; and removing the adjacent partition pairs with the reactive power demand parameters lower than a preset reactive power demand parameter threshold value from the first group of adjacent partition pairs to obtain a second group of adjacent partition pairs, wherein the second group of adjacent partition pairs comprises the plurality of adjacent partition pairs to be selected.
3. The method of claim 2, wherein after obtaining the second set of neighboring partition pairs, the method further comprises:
calculating the sorting coefficient of each adjacent partition pair in the second group of adjacent partition pairs according to a preset algorithm, wherein the preset algorithm is used for calculating the sorting coefficient according to the active demand parameter and the reactive demand parameter of the adjacent partition pairs; and
and selecting the adjacent partition pairs of the second group of adjacent partition pairs, wherein the sorting coefficient of the adjacent partition pairs exceeds a preset sorting coefficient threshold value, so as to obtain the plurality of adjacent partition pairs to be selected.
4. The method according to claim 1, before the calculating the evaluation index parameters of the plurality of candidate adjacent partition pairs according to a preset evaluation model, the method further comprises:
determining a plurality of evaluation factor formulas of the preset evaluation model, wherein the evaluation factor formulas are respectively used for calculating a plurality of influence factors of the preset evaluation model;
respectively determining weight coefficients corresponding to the plurality of influence factors;
multiplying the plurality of influence factors by the corresponding weight coefficients respectively to obtain a plurality of weight factor parameters; and
and adding the plurality of weight factor parameters to obtain the evaluation index parameter.
5. The method of claim 4, wherein determining the weighting coefficients corresponding to the plurality of influencing factors respectively comprises:
respectively determining the evaluation attributes of the plurality of influence factors to obtain a plurality of evaluation attributes;
respectively establishing weight coefficient matrixes of the plurality of evaluation attributes through a digital scaling method; and
and respectively confirming the weight coefficient of the influence factor under each evaluation attribute in the plurality of evaluation attributes according to the weight coefficient matrix.
6. An address selection device of a flexible direct current interconnection device, comprising:
the device comprises a first determining unit, a second determining unit and a control unit, wherein the first determining unit is used for respectively determining power demand parameters of a plurality of adjacent partition pairs in a preset installation area, the adjacent partition pairs are two adjacent areas partitioned on a power network of the preset installation area, and the power demand parameters are parameters of power demands of the adjacent partition pairs on a flexible direct current interconnection device;
the logic unit is used for removing the adjacent partition pairs of which the power demand parameters are lower than a preset parameter threshold value from the adjacent partition pairs to obtain a plurality of adjacent partition pairs to be selected; and
and the calculating unit is used for calculating evaluation index parameters of the multiple adjacent partition pairs to be selected according to a preset evaluation model, wherein the evaluation index parameters are used as evaluation indexes of addresses for selectively installing the flexible direct current interconnection device in the multiple adjacent partition pairs to be selected.
7. The apparatus of claim 6,
the first determination unit includes: the first determining module is used for determining adjacent partition pairs in the preset installation area to obtain a plurality of adjacent partition pairs; the second determining module is used for respectively determining the active demand parameters of the plurality of adjacent partition pairs; a third determining module for determining reactive demand parameters of the plurality of adjacent partition pairs respectively,
the logic unit includes: the first deleting module is used for removing the adjacent partition pairs with the active demand parameters lower than a preset active demand parameter threshold value from the plurality of adjacent partition pairs to obtain a first group of adjacent partition pairs; and the second deleting module is used for removing the adjacent partition pairs with the reactive power demand parameters lower than a preset reactive power demand parameter threshold value from the first group of adjacent partition pairs to obtain a second group of adjacent partition pairs, wherein the second group of adjacent partition pairs comprises the plurality of adjacent partition pairs to be selected.
8. The apparatus of claim 7,
the calculating unit is further configured to calculate a ranking coefficient of each adjacent partition pair in the second group of adjacent partition pairs according to a preset algorithm, where the preset algorithm is configured to calculate the ranking coefficient according to an active demand parameter and a reactive demand parameter of the adjacent partition pairs,
the device further comprises: and the selecting unit is used for selecting the adjacent partition of the second group of adjacent partition pairs, of which the sorting coefficient exceeds a preset sorting coefficient threshold value, so as to obtain the plurality of adjacent partition pairs to be selected.
9. The apparatus of claim 6, further comprising:
the second determining unit is used for determining a plurality of evaluation factor formulas of the preset evaluation model, wherein the evaluation factor formulas are respectively used for calculating a plurality of influence factors of the preset evaluation model;
a third determining unit, configured to determine weight coefficients corresponding to the plurality of influence factors, respectively;
the calculating unit is further used for multiplying the plurality of influence factors by the corresponding weight coefficients respectively to obtain a plurality of weight factor parameters; and adding the plurality of weight factor parameters to obtain the evaluation index parameter.
10. The apparatus according to claim 9, wherein the third determining unit comprises:
the fourth determining module is used for respectively determining the evaluation attributes of the plurality of influence factors to obtain a plurality of evaluation attributes;
the establishing module is used for respectively establishing the weight coefficient matrixes of the plurality of evaluation attributes through a digital scaling method; and
and the fifth determining module is used for respectively determining the weight coefficient of the influence factor under each evaluation attribute in the plurality of evaluation attributes according to the weight coefficient matrix.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106451446A (en) * | 2016-12-07 | 2017-02-22 | 天津大学 | Constant volume method of urban power grid district-dividing interconnection device based on flexible direct current technology |
| CN108988374A (en) * | 2018-06-22 | 2018-12-11 | 国家电网公司华中分部 | The Optimal Configuration Method of flexible direct current interconnect device position in transmission cross-section |
| CN114552567A (en) * | 2022-01-27 | 2022-05-27 | 上海电力大学 | Multi-zone fusion power distribution method based on MMC flexible interconnection device |
-
2016
- 2016-06-13 CN CN201610412813.0A patent/CN106056304A/en active Pending
Non-Patent Citations (1)
| Title |
|---|
| 肖峻等: "城市电网分区柔性互联选址方法及示范应用", 《电力建设》 * |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106451446A (en) * | 2016-12-07 | 2017-02-22 | 天津大学 | Constant volume method of urban power grid district-dividing interconnection device based on flexible direct current technology |
| CN108988374A (en) * | 2018-06-22 | 2018-12-11 | 国家电网公司华中分部 | The Optimal Configuration Method of flexible direct current interconnect device position in transmission cross-section |
| CN108988374B (en) * | 2018-06-22 | 2021-11-02 | 国家电网公司华中分部 | Optimal configuration method for position of flexible direct current interconnection device in power transmission section |
| CN114552567A (en) * | 2022-01-27 | 2022-05-27 | 上海电力大学 | Multi-zone fusion power distribution method based on MMC flexible interconnection device |
| CN114552567B (en) * | 2022-01-27 | 2024-01-23 | 上海电力大学 | Multi-region fusion power distribution method based on MMC flexible interconnection device |
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