CN110311383A - Power distribution network flexibility multimode switch optimization access decision-making technique and system - Google Patents

Power distribution network flexibility multimode switch optimization access decision-making technique and system Download PDF

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Publication number
CN110311383A
CN110311383A CN201910650572.7A CN201910650572A CN110311383A CN 110311383 A CN110311383 A CN 110311383A CN 201910650572 A CN201910650572 A CN 201910650572A CN 110311383 A CN110311383 A CN 110311383A
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China
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feeder line
line group
power distribution
distribution network
sop
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刘文霞
徐艺铭
王志强
林子鉴
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North China Electric Power University
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North China Electric Power University
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    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J3/00Circuit arrangements for ac mains or ac distribution networks
    • H02J3/18Arrangements for adjusting, eliminating or compensating reactive power in networks
    • H02J3/1821Arrangements for adjusting, eliminating or compensating reactive power in networks using shunt compensators
    • H02J3/1871Methods for planning installation of shunt reactive power compensators
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E40/00Technologies for an efficient electrical power generation, transmission or distribution
    • Y02E40/30Reactive power compensation

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  • Power Engineering (AREA)
  • Supply And Distribution Of Alternating Current (AREA)

Abstract

The invention discloses a kind of power distribution network flexibility multimodes to switch optimization access decision-making technique and system, power distribution network flexibility multimode switch optimization access decision-making technique includes: step S1: establishing multiple feeder line groups offline, filters out multiple feeder line groups to be selected from multiple feeder line groups by the on-position SOP preliminary screening protocol;Step S2: from the angle of assets performance appraisal, the quantum chemical method model and SOP cost of access model of performance indicator are constructed respectively, and optimal feeder line group is selected from multiple feeder line groups to be selected using Grey Incidence Analysis.

Description

Power distribution network flexibility multimode switch optimization access decision-making technique and system
Technical field
The related power distribution network running optimizatin method of the present invention essentially describes flexible multimode switch optimization access in power distribution network Two-step decision-making technique.
Background technique
As national new energy and electricity change the iterative method of policy, a large amount of distributed energy, charging device of electric automobile, Energy storage device and microgrid access power distribution network, and permeability is continuously improved.New energy and the randomness of load easily cause feedback Linear heat generation rate fluctuates widely and voltage out-of-limit, so that the operation of power distribution network is faced that voltage fluctuation is serious, line loss is larger etc. tight High challenge.Meanwhile the network reconfiguration based on interconnection switch is then by switch response speed, operating life and the problems such as dash current Limitation, be not able to satisfy the requirement of sensitive load uninterrupted power supply, also limit the further receiving of renewable energy.Due to existing Stage flexible switch cost is higher, position, capacity and the distribution net work structure and load phase access to the contribution of power distribution network with it The multifactor correlations such as closing property, therefore, scientific evaluation configures the benefit of SOP and development is distributed rationally, to promotion alternating current-direct current power distribution network Development is of great significance.
And China's power distribution network radial structure, so that branch line is got in touch with backbone seldom in a feeder line, greatly Mostly use the contact between feeder line.And current three port, four port SOP achieve good effect in key special subjects demonstration, Improve interregional feeder line imbalance, receive DG etc. can play a greater role.SOP addressing in this context, which is equal to, is matching The similar several feeder lines of power grid selection form one group, how in large-scale distribution network to consider that comprehensive benefit science determines optimal connect Enter scheme as urgent problem to be solved in distribution planning.
Summary of the invention
Technical problem to be solved by the present invention lies in provide a kind of power distribution network flexibility multimode switch optimization access decision Method, wherein include:
Step S1: establishing multiple feeder line groups offline, by the on-position SOP preliminary screening protocol from multiple feeder line groups In filter out multiple feeder line groups to be selected;
Step S2: it from the angle of assets performance appraisal, constructs the quantum chemical method model of performance indicator respectively and SOP connects Enter cost model, and optimal feeder line group is selected from multiple feeder line groups to be selected using Grey Incidence Analysis.
Above-mentioned power distribution network flexibility multimode switch optimization access decision-making technique, wherein include: in Yu Suoshu step S1
Multiple important surfaces are selected in the surface of S11: Yu Suoshu feeder line group of step;
Step S12: each important surface for calculating each feeder line group obtains corresponding screening index data;
Step S13: maximum value normalized is carried out to the screening index data of each feeder line group and obtains phase The scale data answered;
Step S14: being ranked up multiple feeder line groups according to the scale data of each feeder line group, uses The multiple feeder line groups of the variable weight method for objectively evaluating after sequence filter out multiple feeder line groups to be selected.
Above-mentioned power distribution network flexibility multimode switch optimization access decision-making technique, wherein include: in Yu Suoshu step S2
Step S21: the quantum chemical method model of performance indicator is constructed;
Step S22: building SOP cost of access model;
Step S23: the evaluation of estimate of each feeder line group to be selected is obtained by Grey Incidence Analysis;
Step S24: go out the optimal feeder line group from multiple feeder line group selections to be selected according to institute's evaluation values.
Above-mentioned power distribution network flexibility multimode switch optimization access decision-making technique, wherein include: in Yu Suoshu step S23
Step S231: the index average value for measuring average level is obtained;
Step S232: positive ideal type index set, negative ideal type index set and domain type are determined according to the index average value Index set obtains after handling the positive ideal type index set, the negative ideal type index set and the domain type index set Obtain specified decision matrix;
Step S233: grey relational grade coefficient is obtained by the specified decision matrix, and is based on the grey correlation It spends coefficient and obtains institute's evaluation values.
Above-mentioned power distribution network flexibility multimode switch optimization access decision-making technique, wherein include: in Yu Suoshu step S2
Step S25: the optimal feeder line group is verified.
The present invention also provides a kind of power distribution network flexibility multimodes to switch optimization access decision system, wherein includes:
Feeder line group acquiring unit to be selected establishes multiple feeder line groups offline, by the on-position SOP preliminary screening protocol from more Multiple feeder line groups to be selected are filtered out in a feeder line group;
Optimal feeder line group acquiring unit: from the angle of assets performance appraisal, the quantization meter of performance indicator is constructed respectively Model and SOP cost of access model are calculated, and is selected most from multiple feeder line groups to be selected using Grey Incidence Analysis Excellent feeder line group.
Above-mentioned power distribution network flexibility multimode switch optimization access decision system, wherein the feeder line group to be selected obtains single Member includes:
Important surface chosen module selectes multiple important surfaces in the surface of Yu Suoshu feeder line group;
Screening index data acquisition module, each important surface for calculating each feeder line group obtain corresponding sieve Select achievement data;
Scale data acquisition module carries out at maximum value normalization the screening index data of each feeder line group Reason obtains corresponding scale data;
Feeder line group to be selected obtains module, according to the scale data of each feeder line group to multiple feeder line groups into Row sequence, filters out multiple feeder line groups to be selected using the multiple feeder line groups of the variable weight method for objectively evaluating after sequence.
Above-mentioned power distribution network flexibility multimode switch optimization access decision system, wherein the optimal feeder line group obtains single Member includes:
Quantum chemical method model construction module constructs the quantum chemical method model of performance indicator;
SOP cost of access model construction module constructs SOP cost of access model;
Evaluation of estimate obtains module, and the evaluation of estimate of each feeder line group to be selected is obtained by Grey Incidence Analysis;
Optimal feeder line group obtains module, goes out the optimal feedback from multiple feeder line group selections to be selected according to institute's evaluation values Line group.
Above-mentioned power distribution network flexibility multimode switch optimization access decision system, wherein institute's evaluation values obtain module and obtain It takes in the index average value for measuring average level, institute's evaluation values obtain module and determine positive ideal according to the index average value Type index set, negative ideal type index set and domain type index set, to the positive ideal type index set, the negative ideal type index set After being handled with the domain type index set, specified decision matrix is obtained, institute's evaluation values obtain to standardize described in module Decision matrix obtains grey relational grade coefficient, and obtains institute's evaluation values based on the grey relational grade coefficient.
Above-mentioned power distribution network flexibility multimode switch optimization access decision system, wherein the optimal feeder line group obtains single Member further include: correction verification module verifies the optimal feeder line group.
The present invention is directed to the prior art its effect and is: the on-position planning of science activities SOP of the present invention has comprehensively considered more Aspect factor proposes the two-step decision-making technique of SOP optimization access, after carrying out option screening based on surface, carries out The multiple attribute synthetical evaluation and decision of quantization, and optimum scheme comparison, and gray relative analysis method is applied, pass through the phase between scheme To comparing, the uncertain influence to multi -index decision is had ignored.The present invention and the existing decision-making technique based on intelligent optimization It compares, it is contemplated that the grid-connected size to many-sided comprehensive contribution of SOP establishes Comprehensive Benefit Evaluation index system.This method is soft Property multimode switch reasonable disposition in power distribution network provide practical method.
Detailed description of the invention
Fig. 1 is the flow chart of power distribution network flexibility multimode of the present invention switch optimization access decision-making technique;
Fig. 2-Fig. 3 is the flow chart step by step of Fig. 1;
Fig. 4 is the flow chart step by step of Fig. 3;
Fig. 5 is Comprehensive Benefit Evaluation index system figure;
Fig. 6 is that the distribution Power System Reliability containing SOP evaluates calculation flow chart;
Fig. 7 is the link position schematic diagram of SNOP power distribution network;
Fig. 8 is the comprehensive evaluation index comparison diagram under three kinds of schemes;
Fig. 9 is the structural schematic diagram of power distribution network flexibility multimode of the present invention switch optimization access decision system.
Specific embodiment
Hereby detailed content and technology for the present invention explanation is now described further with a preferred embodiment, but not It should be interpreted the limitation implemented to the present invention.
Fig. 1-Fig. 4 is please referred to, Fig. 1 is the process of power distribution network flexibility multimode of the present invention switch optimization access decision-making technique Figure;Fig. 2-Fig. 3 is the flow chart step by step of Fig. 1;Fig. 4 is the flow chart step by step of Fig. 3.As Figure 1-Figure 4, of the invention to match Power grid flexible multimode switch optimization access decision-making technique the following steps are included:
Step S1: establishing multiple feeder line groups offline, by the on-position SOP preliminary screening protocol from multiple feeder line groups In filter out multiple feeder line groups to be selected;
Step S2: it from the angle of assets performance appraisal, constructs the quantum chemical method model of performance indicator respectively and SOP connects Enter cost model, and optimal feeder line group is selected from multiple feeder line groups to be selected using Grey Incidence Analysis.
Further, include: in step S1
Step S11: multiple important surfaces are selected in the surface of feeder line group;
Step S12: each important surface for calculating each feeder line group obtains corresponding screening index data;
Step S13: maximum value normalized is carried out to the screening index data of each feeder line group and is obtained accordingly Scale data;
Step S14: multiple feeder line groups are ranked up according to the scale data of each feeder line group, are objectively evaluated using variable weight Multiple feeder line groups of the method after sequence filter out multiple feeder line groups to be selected.
Still further, including: in step S2
Step S21: the quantum chemical method model of performance indicator is constructed;
Step S22: building SOP cost of access model;
Step S23: the evaluation of estimate of each feeder line group to be selected is obtained by Grey Incidence Analysis;
Step S24: optimal feeder line group is gone out from multiple feeder line group selections to be selected according to evaluation of estimate.
Further, include: in step S23
Step S231: the index average value for measuring average level is obtained;
Step S232: positive ideal type index set, negative ideal type index set and domain type index are determined according to index average value Collection after handling positive ideal type index set, negative ideal type index set and domain type index set, obtains specified decision square Battle array;
Step S233: grey relational grade coefficient is obtained by specified decision matrix, and is obtained based on grey relational grade coefficient Obtain evaluation of estimate.
Further, include: in step S2
Step S25: the optimal feeder line group is verified.
Referring to figure 5-8, Fig. 5 is Comprehensive Benefit Evaluation index system figure;Fig. 6 is that the distribution Power System Reliability containing SOP is commented Valence calculation flow chart;Fig. 7 is the link position schematic diagram of SNOP power distribution network;Fig. 8 is the comprehensive evaluation index pair under three kinds of schemes Than figure.It is carried out specifically below in conjunction with such as 8 pairs of Fig. 1-power distribution network flexibility multimode switch optimization access decision-making techniques of the invention It is bright.
The present invention considers that distribution scale is big, position to be selected is more, outer based on regional power grid to be accessed to improve the efficiency of decision-making Portion's feature proposes the on-position SOP screening technique.In view of SOP access to power distribution network reduce network loss, improve quality of voltage, can It by the primary benefits of property and receiving ability etc., corresponds, selects load balance degree, responsible consumer, DG quantity, throws Provide four surface indexs such as cost.
Load balance degree.When the connected feeder line load difference in each port SOP is larger, being balanced by real time load reduces net Damage better effect.By taking three ports as an example, if the load that each port SOP is connected is respectively L1,L2,L3, maximum load difference it is absolute The sum of value is Lmax
Lmax=| L1-L2|+L1-L3|+L2-L3| (1)
The land price and line distance of SOP placement.SOP installation cost determines its economy, mainly by line length charging and Land used expense composition.CgCost of floor space, c are installed for SOPdFor unit vacant lot cost of floor space, s is SOP installation area, pgFor The probability that may be installed.DtotalIt is line apart from total length, D1For the distance for the route that 1 port of SOP connects, D2、D3Similarly. The scheme that cost is excessively high, feasibility is low should be rejected in primary dcreening operation.
Cg=∑ cd×s×pg (2)
Dtotal=∑ D1+D2+D3 (3)
The responsible consumer accounting of SOP placement position.SOP is installed in power distribution network, can be reduced and be stopped by quick acting Electricity, and responsible consumer uninterrupted power supply is maintained, SOP becomes apparent from the more place installation benefit embodiment of responsible consumer thus.Cause This, SOP is installed when responsible consumer ratio is higher in feeder line, and reliability benefit is more preferable.Responsible consumer accounting M is the route institute The ratio of number containing responsible consumer and total electricity consumption number of users.
The quantity of distributed generation resource is received.By it is found that DG consumption is more and when comparing concentration, trend and voltage fluctuation compared with Greatly, SOP bring improves benefit and becomes apparent from.The access of SOP can effectively support the receiving of more DG.Primary dcreening operation considers DG quantity HDG, HDGBigger SOP effectiveness is bigger.HDG,1For the number of DG in the 1 port institute connecting lines 1 of SOP, HDG,2、HDG,3Similarly.
HDG=HDG,1+HDG,2+HDG,3 (4)
By four screening index data relative to its maximum value normalized, the scale between [0,1] is obtainedIt is then evaluated using variable weight method for objectively evaluating, several sides to be selected is filtered out by sequence Case.The present invention is referring to state's net asset management system, from power grid security, economic benefit, performance efficiency tripartite's surface analysis SOP access pair The influence of distribution considers the service of power distribution network, establishes the index system of two dimensions of performance and economic benefit, such as Fig. 5 institute Show.
According to DL/T 1563-2016 " medium voltage distribution network reliability assessment directive/guide ", measured by the index of load point each negative The power supply confidence level of lotus point can effectively reflect power failure frequency, time and scale, and then measure the reliability of system, calculate Process, as shown in Figure 6.
When load and DG power output fluctuate, each node voltage can be caused to fluctuate.Establish fBiasFor integrated voltage deviation Index, the sum of the voltage deviation after taking weighting, represents feeder line global voltage degree of fluctuation.Generally proximate to feeder terminal and close to DG The node voltage fluctuation of on-position is larger, brings more risk to distribution operation, therefore the setting of weight considers two factors: The electrical distance and the on-position DG of node and feeder line head end, power output.The voltage deviation weight Q of feeder line k interior joint ik,iAre as follows:
Z in formula0iFor node i to the impedance at feeder line beginning;Zl,maxFor the maximum at the feeder line beginning to impedance between each end Value;St,kFor the apparent energy of k-th of DG of t moment;StFor the sum of the feeder load apparent energy;Z0kFor DG access point to balance The impedance of node;ZikFor node i to the impedance of DG access point.Work as ZikGreater than Z0kWhen, correct Z0k-ZikIt is zero.
Uk,iFor the voltage of kth feeder line interior joint i.After accessing SOP, fBiasSmaller, SOP is bigger to the contribution of power distribution network. Final calculation result is the sum of different load scene cumulative effects.
In order to characterize the effect for receiving DG capability improving after SOP is accessed, made using DG permeability β under maximum receiving ability For evaluation index, shown in expression formula such as formula (7).FsumIt is expressed as burden with power, FDGFor DG generated energy, FkIt is new after access SOP Increase DG generated energy.In view of the probability characteristics of DG and load, therefore in formula (8), p is the probability of each scene, and β is DG under the scene The size of receiving ability, P indicate the receiving ability expectation of more scenes.
The present invention considers accessing flexible multiport switch during normal operation, by the trend change for adjusting active reactive Change, reduce the effectiveness of via net loss, quantization formula is as follows:
In formula, CLossFor the income for reducing network loss, PLossIt (t) is a t hours Energy loss of Nian Zhong, CSOP,lossFor Itself network loss of the VSC module of SOP.
In addition consider overall life cycle cost, establish SOP cost of access model, totle drilling cost CtotalInclude: investment, O&M and Maintenance, residual value.Wherein, cost of investment C0Equipment cost and cost of floor space including considering SOP unit capacity;The year of SOP transports The dimension cost of overhaul is CSOP;It is C with to the cost of disposal of scrapping scrappedDC;EsopFor SOP capacity.Formula is as follows:
In index set A of the invention, A3,A12The ideal type that is positive index, A1,A2,A4,A5,A6,A7,A9,A10,A11Be negative reason It is intended to refer to mark, A8For domain type index.Since the dimension of different indexs is different, therefore first to decision matrix XijStandardization processing, will All indexs are converted into the transformation to linearity operator of [- 1,1], i.e., when the index of evaluation object is better than average level, folding Index operator after conjunction is the positive value of [0,1], the index operator when the index of evaluation object is lower than average level, after converting into For the negative value of [- 1,0].Specific step is as follows:
(1) the index average value y for measuring average level is obtained firstj
In formula, XijFor index;
(2) positive ideal type index set, negative ideal type index set and domain type index set are determined, index value linear transformation is calculated Son.Obtain specified decision matrix ideally.
If AjThe ideal type that is positive index,
If AjThe ideal type that is negative index,
If AjFor interval type index, wherein interval value is [M, N], if it is still interval type index that index value, which is fixed value, this When M=N
X in formulaij' it is interval type index;
(3) distance of the three obtained scheme to ideal solution after calculating preliminary screening
To the distance of positive ideal solution,
To the distance of minus ideal result,
(4) grey relational grade coefficient is calculated.
ijGrey relational grade coefficient for i-th of scheme and ideal scheme about j-th of index, wherein being to differentiate for [0,1] Coefficient.Wherein, claim min min | x0j-xij|}、max{max|x0j-xij| it is respectively two-stage lowest difference and two-stage maximum difference.Logical In normal situation, resolution ratio ρ is bigger, and resolution ratio is bigger, and resolution ratio ρ is smaller, and resolution ratio is smaller, generally takes ρ=0.5.
(5) grey weight relation is calculated, grey correlation analysis is carried out, calculation formula is as follows:
Wherein, wiFor variable weight method determine each index weights, multiplied by grey relational grade coefficientijObtain comprehensive weight coefficient rj, rjIt is j-th of index to the weighted association degree of ideal object, i.e. comprehensive weight shown in table 2.
(6) the relative similarity degree C of numerical procedurei.Reflect the program and ideal scheme in position close to or away from Distance.
(7) it is sorted according to relative similarity degree size.The big scheme of approach degree is better, practical to get over to the contribution for improving power distribution network Greatly, evaluation of estimate can be checked, obtains evaluation result.
Embodiment 1
Using 3 improved IEEE33 Node power distribution systems as embodiment 1, as shown in fig. 7, by SOP access containing multiple The grid-connected feeder terminal of distributed generation resource.It is assumed that each distribution system accesses a certain number of distribution type renewable energies, light Volt system is respectively connected to 1-14,1-17 node, rated capacity 200kVA, 300kVA, and power factor (PF) is 0.9, Wind turbines Access 1-15,2-14,2-16,2-17,3-16,3-17 node, rated capacity 200kVA, 300kVA, 200kVA, 400kVA, 200kVA, 300kVA, power factor are 0.9;One three end SOP connection 1-18,2-18,3-18 node, connection line impedence take The half of the maximum interconnection of IEEE33 Node power distribution system impedance.It simulates SOP and accesses different location, capacity, three ports are different Operating condition when loading condition.The present invention is as shown in table 1 using three feasible schemes to example 1:
The energy loss of each scene of system under 1 typical period of time of table
According to table 2 and Fig. 8, the comprehensive assessment of scheme two, three, one is scored at 0.759,0.737,0.727, two score of scheme Highest is chosen as optimal case.Main cause has two, and one is that there is gray relative analysis method index to get over mean deviation Greatly, the index weights of the bigger feature of weight, reliability, network loss and cost input are larger;Secondly there is each end for the program Mouth load difference reaches 112MVA, responsible consumer up to 20%, and far more than other schemes, and SOP is located proximate to DG, so this A little index parameters are more preferable.It can be seen that the big index parameter of weight is all fine in scheme two, comprehensive benefit is higher in practical projects, tool Targeted and practicability, so scheme two is with the obvious advantage.
2 comprehensive evaluation index weight coefficient of table
Fig. 9 is please referred to, Fig. 9 is the structural representation of power distribution network flexibility multimode of the present invention switch optimization access decision system Figure.As shown in figure 9, power distribution network flexibility multimode switch optimization access decision system of the present invention, comprising: feeder line group to be selected obtains single Member 11 and optimal feeder line group acquiring unit;Feeder line group acquiring unit 11 to be selected establishes multiple feeder line groups offline, passes through SOP access digit It sets preliminary screening protocol and filters out multiple feeder line groups to be selected from multiple feeder line groups;Optimal feeder line group acquiring unit 12 is from money The angle for producing performance appraisal is set out, and constructs the quantum chemical method model and SOP cost of access model of performance indicator respectively, and using ash Color association analysis method selects optimal feeder line group from multiple feeder line groups to be selected.
Further, feeder line group acquiring unit 11 to be selected includes: important surface chosen module 111, screening index number Module 114 is obtained according to module 112, scale data acquisition module 113 and feeder line group to be selected is obtained;Important surface chosen module 111 select multiple important surfaces in the surface of the feeder line group;Screening index data acquisition module 112 calculates often Each important surface of the one feeder line group obtains corresponding screening index data;Scale data acquisition module 113 is to every The screening index data of the one feeder line group carry out maximum value normalized and obtain corresponding scale data;Feeder line to be selected Group obtains module 114 and is ranked up according to the scale data of each feeder line group to multiple feeder line groups, using change It weighs the multiple feeder line groups of the method for objectively evaluating after sequence and filters out multiple feeder line groups to be selected.
Still further, optimal feeder line group acquiring unit 12 include: quantum chemical method model construction module 121, SOP access at This model construction module 122, evaluation of estimate obtain module 123 and optimal feeder line group obtains module 124;Quantum chemical method model construction mould The quantum chemical method model of the building performance indicator of block 121;SOP cost of access model construction module 122 constructs SOP cost of access mould Type;Evaluation of estimate obtains the evaluation of estimate that module 123 obtains each feeder line group to be selected by Grey Incidence Analysis;Optimal feedback Line group obtains module 124 and goes out the optimal feeder line group from multiple feeder line group selections to be selected according to institute's evaluation values.
Wherein, evaluation of estimate obtains module 123 and obtains the index average value for measuring average level, and institute's evaluation values obtain Module determines positive ideal type index set, negative ideal type index set and domain type index set according to the index average value, to described After positive ideal type index set, the negative ideal type index set and the domain type index set are handled, specified decision is obtained Matrix, institute's evaluation values obtain specified decision matrix described in module and obtain grey relational grade coefficient, and are closed based on the grey Connection degree coefficient obtains institute's evaluation values.
Further, optimal feeder line group acquiring unit 12 further include: correction verification module 125 carries out school to optimal feeder line group It tests.
The present invention has the effect that the on-position planning of science activities SOP of the present invention, has comprehensively considered many factors, has mentioned The two-step decision-making technique for having gone out SOP optimization access, after carrying out option screening based on surface, the multi objective that is quantified Overall merit and decision, and optimum scheme comparison, and gray relative analysis method is applied, by relatively, ignoring between scheme The uncertain influence to multi -index decision.The present invention is compared with the existing decision-making technique based on intelligent optimization, it is contemplated that The grid-connected size to many-sided comprehensive contribution of SOP, establishes Comprehensive Benefit Evaluation index system.This method is flexible multimode switch Reasonable disposition provides practical method in power distribution network.
Above are only presently preferred embodiments of the present invention, not be used to limit the scope of implementation of the present invention, without departing substantially from In the case where spirit of that invention and its essence, those skilled in the art make in accordance with the present invention various to be changed accordingly Become and deform, but these corresponding changes and modifications all should fall within the scope of protection of the appended claims of the present invention.

Claims (10)

1. a kind of power distribution network flexibility multimode switch optimization access decision-making technique characterized by comprising
Step S1: establishing multiple feeder line groups offline, is sieved from multiple feeder line groups by the on-position SOP preliminary screening protocol Select multiple feeder line groups to be selected;
Step S2: from the angle of assets performance appraisal, construct respectively performance indicator quantum chemical method model and SOP access at This model, and optimal feeder line group is selected from multiple feeder line groups to be selected using Grey Incidence Analysis.
2. power distribution network flexibility multimode switch optimization access decision-making technique as described in claim 1, which is characterized in that Yu Suoshu Include: in step S1
Multiple important surfaces are selected in the surface of S11: Yu Suoshu feeder line group of step;
Step S12: each important surface for calculating each feeder line group obtains corresponding screening index data;
Step S13: maximum value normalized is carried out to the screening index data of each feeder line group and is obtained accordingly Scale data;
Step S14: multiple feeder line groups are ranked up according to the scale data of each feeder line group, using variable weight The multiple feeder line groups of the method for objectively evaluating after sequence filter out multiple feeder line groups to be selected.
3. power distribution network flexibility multimode switch optimization access decision-making technique as described in claim 1, which is characterized in that Yu Suoshu Include: in step S2
Step S21: the quantum chemical method model of performance indicator is constructed;
Step S22: building SOP cost of access model;
Step S23: the evaluation of estimate of each feeder line group to be selected is obtained by Grey Incidence Analysis;
Step S24: go out the optimal feeder line group from multiple feeder line group selections to be selected according to institute's evaluation values.
4. power distribution network flexibility multimode switch optimization access decision-making technique as claimed in claim 3, which is characterized in that Yu Suoshu Include: in step S23
Step S231: the index average value for measuring average level is obtained;
Step S232: positive ideal type index set, negative ideal type index set and domain type index are determined according to the index average value Collection, after handling the positive ideal type index set, the negative ideal type index set and the domain type index set, is advised Generalized decision matrix;
Step S233: grey relational grade coefficient is obtained by the specified decision matrix, and is based on the grey relational grade system Number obtains institute's evaluation values.
5. power distribution network flexibility multimode switch optimization access decision-making technique as claimed in claim 3, which is characterized in that Yu Suoshu Include: in step S2
Step S25: the optimal feeder line group is verified.
6. a kind of power distribution network flexibility multimode switch optimization access decision system characterized by comprising
Feeder line group acquiring unit to be selected establishes multiple feeder line groups offline, by the on-position SOP preliminary screening protocol from multiple institutes It states and filters out multiple feeder line groups to be selected in feeder line group;
Optimal feeder line group acquiring unit: from the angle of assets performance appraisal, the quantum chemical method mould of performance indicator is constructed respectively Type and SOP cost of access model, and optimal feedback is selected from multiple feeder line groups to be selected using Grey Incidence Analysis Line group.
7. power distribution network flexibility multimode as claimed in claim 6 switch optimization access decision system, which is characterized in that it is described to The feeder line group acquiring unit is selected to include:
Important surface chosen module selectes multiple important surfaces in the surface of Yu Suoshu feeder line group;
Screening index data acquisition module, each important surface for calculating each feeder line group obtain corresponding screening and refer to Mark data;
Scale data acquisition module carries out maximum value normalized to the screening index data of each feeder line group and obtains Obtain corresponding scale data;
Feeder line group to be selected obtains module, is arranged according to the scale data of each feeder line group multiple feeder line groups Sequence filters out multiple feeder line groups to be selected using the multiple feeder line groups of the variable weight method for objectively evaluating after sequence.
8. power distribution network flexibility multimode as claimed in claim 6 switch optimization access decision system, which is characterized in that it is described most Excellent feeder line group acquiring unit includes:
Quantum chemical method model construction module constructs the quantum chemical method model of performance indicator;
SOP cost of access model construction module constructs SOP cost of access model;
Evaluation of estimate obtains module, and the evaluation of estimate of each feeder line group to be selected is obtained by Grey Incidence Analysis;
Optimal feeder line group obtains module, goes out the optimal feeder line from multiple feeder line group selections to be selected according to institute's evaluation values Group.
9. power distribution network flexibility multimode switch optimization access decision system as claimed in claim 3, which is characterized in that institute's commentary Value capture module obtains the index average value for measuring average level, and it is flat according to the index that institute's evaluation values obtain module Mean value determines positive ideal type index set, negative ideal type index set and domain type index set, to the positive ideal type index set, described After negative ideal type index set and the domain type index set are handled, specified decision matrix is obtained, institute's evaluation values obtain Specified decision matrix described in module obtains grey relational grade coefficient, and obtains the evaluation based on the grey relational grade coefficient Value.
10. power distribution network flexibility multimode switch optimization access decision system as claimed in claim 8, which is characterized in that described Optimal feeder line group acquiring unit further include: correction verification module verifies the optimal feeder line group.
CN201910650572.7A 2019-07-18 2019-07-18 Power distribution network flexibility multimode switch optimization access decision-making technique and system Pending CN110311383A (en)

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112053045A (en) * 2020-08-21 2020-12-08 国网浙江省电力有限公司 Power distribution project popularization index calculation method and system based on flexible switch
CN113241760A (en) * 2021-05-18 2021-08-10 武汉大学 Flexible multi-state switch two-stage robust programming method and related equipment
CN116231766A (en) * 2023-05-09 2023-06-06 国网浙江省电力有限公司永康市供电公司 Coordinated distribution method and system for high-permeability photovoltaic intelligent distribution area

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106056265A (en) * 2016-04-28 2016-10-26 国家电网公司 Voltage stabilization fault screening and ranking method based on grey correlation analysis method
CN109034676A (en) * 2018-10-22 2018-12-18 西南交通大学 Distribution network failure recovery scheme Interval evaluation method under incomplete index weights information

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106056265A (en) * 2016-04-28 2016-10-26 国家电网公司 Voltage stabilization fault screening and ranking method based on grey correlation analysis method
CN109034676A (en) * 2018-10-22 2018-12-18 西南交通大学 Distribution network failure recovery scheme Interval evaluation method under incomplete index weights information

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
王志强等: "柔性多状态开关优化接入的两步式决策方法", 《高电压技术》 *

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112053045A (en) * 2020-08-21 2020-12-08 国网浙江省电力有限公司 Power distribution project popularization index calculation method and system based on flexible switch
CN113241760A (en) * 2021-05-18 2021-08-10 武汉大学 Flexible multi-state switch two-stage robust programming method and related equipment
CN113241760B (en) * 2021-05-18 2022-06-21 武汉大学 Flexible multi-state switch two-stage robust programming method and related equipment
CN116231766A (en) * 2023-05-09 2023-06-06 国网浙江省电力有限公司永康市供电公司 Coordinated distribution method and system for high-permeability photovoltaic intelligent distribution area

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