CN107394797A - A kind of appraisal procedure for the distributed power source access power distribution network for considering idle work optimization - Google Patents
A kind of appraisal procedure for the distributed power source access power distribution network for considering idle work optimization Download PDFInfo
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/18—Arrangements for adjusting, eliminating or compensating reactive power in networks
- H02J3/1821—Arrangements for adjusting, eliminating or compensating reactive power in networks using shunt compensators
- H02J3/1835—Arrangements for adjusting, eliminating or compensating reactive power in networks using shunt compensators with stepless control
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- Y—GENERAL 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/30—Reactive power compensation
Abstract
A kind of appraisal procedure for the distributed power source access power distribution network for considering idle work optimization, including initial Load flow calculation is carried out to power distribution network, obtain the data of each bar branch road of power distribution network to be assessed and each node；Obtain mode, the control range of device and the on-position of idle work optimization；Determine the object function of idle work optimization；Calculate the idle work optimization result from different nodes access distributed power source respectively using Reactive Power Optimization Algorithm for Tower；With reference to DATA ENVELOPMENT ANALYSIS METHOD, input and the output-index of scheme are confirmed；Efficiency value calculating is carried out to accessing distributed power source scheme from different nodes using super-efficient data envelopment analysis method, analysis and evaluation is carried out to distributed power source access node and access capacity, wherein, the maximum scheme of efficiency value is optimal distribution formula plant-grid connection scheme.The present invention is improved for the deficiency that conventional appraisal procedure is not analysed in depth to Reactive Power Optimazation Problem, meanwhile, cause result to have more reasonability and objectivity with reference to super DEA in scheme evaluation.
Description
Technical field
The present invention relates to technical field of power systems, more specifically to a kind of distributed electrical for considering idle work optimization
The appraisal procedure of power distribution network is accessed in source.
Background technology
Operation that can be to power distribution network after distributed power source access power distribution network has an impact, its influence degree and distributed power source
Access point position and capacity configuration have the relation of interwoveness, the on-position of distributed power source and capacity configuration are closed
Reason, the quality of power supply of power distribution network can be effectively improved, reduce the active loss of system, lifting power distribution network reliability of operation and warp
Ji property.Conversely, the on-position of distributed power source and capacity configuration are not reasonable, then the trend of power distribution network can be distributed, electric energy
Loss, the quality of power supply etc. have a negative impact, and will produce threat to the security of whole distribution network operation and economy.Cause
This, power distribution network distributed power source access problem is the important research content of power distribution network operation planning.
DEA (Data Envelopment Analysis, DEA) is a kind of to more inputs and more output decision-makings
The method that unit (Decision Making Units, DMU) relative efficiency is assessed.DEA is each DMU
Input weight and output weight as variable, DMU validity is assessed from the angle most beneficial for DMU, avoided
The effect of subjective factor, with more objectivity.Super efficiency DEA (Super-efficency DEA) model can further discriminate between
The efficiency of decision package is imitated, decision-making unit efficiencies value can further be sorted, in super-efficiency DEA, can solved
Certainly traditional DEA models can not be all the problem of 1 scheme is ranked up to efficiency value.
The content of the invention
The purpose of the present invention is improved in existing method, there is provided one kind combine super-efficient data envelopment analysis method and
The appraisal procedure of the power distribution network distributed power source access of System Reactive Power optimisation strategy, with more reasonability and objectivity, to distribution
The selection of net distributed power source access node and appearance quantifier elimination have reference significance.
The present invention adopts the following technical scheme that：
A kind of appraisal procedure for the distributed power source access power distribution network for considering idle work optimization, comprises the following steps：
A, initial Load flow calculation is carried out to power distribution network, obtains the data of each bar branch road of power distribution network to be assessed and each node；
B, mode, the control range of device and the on-position of idle work optimization are obtained；
C, the object function of idle work optimization is determined；
D, the idle work optimization result from different nodes access distributed power source is calculated respectively using Reactive Power Optimization Algorithm for Tower；
E, with reference to DATA ENVELOPMENT ANALYSIS METHOD, input and the output-index of scheme are confirmed；
F, efficiency value meter is carried out to accessing distributed power source scheme from different nodes using super-efficient data envelopment analysis method
Calculate, analysis and evaluation is carried out to distributed power source access node and access capacity, wherein, the maximum scheme of efficiency value is optimal point
Cloth plant-grid connection scheme.
Preferably, it is described that initial Load flow calculation is carried out to power distribution network in step a, obtain each bar branch road of power distribution network to be assessed
And the data of each node, including：Power distribution network topology controlment is built on Based on Power System Analysis Software Package, passes through electric power
System all-digital real-time simulation device carries out initial Load flow calculation, collects the data of each node and each bar branch road.
Preferably, the data of each node and each bar branch road include：Node serial number, circuit number, circuit resistance,
Reactance, load active power, reactive load power, node voltage, circuit active power and the circuit reactive power of circuit.
Preferably, in step b, the mode of the idle work optimization includes switched capacitor group, adjustment ULTC
The idle output of gear and adjustment distributed power source；The control range of described device is capacitor reactive capability, on-load voltage regulation change
Depressor gear, distributed power source are idle contribute this three variable range；The on-position is capacitor bank, on-load voltage regulation change
Installation site of this three of depressor, distributed power source in power distribution network.
Preferably, in step c, the idle work optimization object function includes power distribution network active power loss f1With voltage deviation f2,
Expression formula is as follows:
In above formula, UiAnd UjRespectively node i and node j voltage magnitude；GijFor the conductance of i-j branch roads；θijFor node i
With the phase angle difference of node j voltage；N is the set of all node compositions of power distribution network,For the maximum permissible voltage of node i
Deviant；For the desired voltage of node i.
Preferably, GA for reactive power optimization general objective function expression is：
Minf=ω1f1+ω2f2 (3)
In above formula, f is idle work optimization catalogue scalar functions, ω1、ω2For weights, and there is ω1+ω2=1.
Preferably, the constraints of variable includes active power and reactive power equilibrium constraint and each control change of each node
Amount constraint；
Active power and the reactive power equilibrium constraint of each node are as follows：
Each control variables constraint is as follows：
Tmin<T<Tmax (6)
QC.min<QC<QC.max (7)
QDG.min<QDG<QDG.max (8)
Wherein, PiAnd QiThe respectively active power and reactive power of node injection；BijFor the susceptance of i-j branch roads；T is to have
The position of voltage adjustment of on-load load tap changer, TminAnd TmaxRespectively ULTC minimum gear and maximum gear；QCFor
The reactive capability of shunt capacitor, Qc.minAnd Qc.maxThe respectively minimum value and maximum of shunt capacitor reactive capability；QDGFor
Distributed power source without work output, QDG.minAnd QDG.maxThe respectively minimum value and maximum without work output of distributed power source
Value.
Preferably, in step d, during idle work optimization, by shunt capacitor group group number, ULTC gear and
The capacity of distributed power source is arranged to adjustable several within the specific limits by the idle output of distributed power source as control variable
Kind specification, so can preferentially be chosen to the capacity of distributed power source, be obtained under idle work optimization target function value optimal situation
Distributed power source access capacity.
Preferably, distributed power source is accessed from different nodes respectively, optimized algorithm is chosen, by changing each variable
Value, optimizing is carried out to target function value, solve and obtain the idle work optimization result of different node access distributed power sources.
Preferably, in step e, the input pointer of scheme includes shunt capacitor reactive capability, ULTC electricity
Buckling ratio, distributed power source is idle input quantity, distributed power source capacity；The active power loss of power distribution network and voltage deviation are distinguished
Seek two output-indexes measured as scheme reciprocal for being converted into direct index and obtaining.
Preferably, in step f, the mathematical modeling of super-efficient data envelopment analysis method is
In above formula, s.t. is the common knowledge of art of mathematics, represents the affined meaning, that is, to meet constraints；θ
For scheme input quantity relative to the Quality degree of effective utilization of output quantity, i.e., the efficiency value asked for of each scheme in the present invention；N is side
Case sum, k are the numbering of scheme to be assessed；Xj、YjInput pointer, the output-index of respectively j-th scheme；S-Refer to for input
Target slack variable, S+For the surplus variable of output-index；λjFor weight coefficient；Xk、YkThe input pointer of respectively k-th scheme,
Output-index.
Preferably, in step f, the efficiency value from different nodes access distributed power source scheme is calculated, is ranked up, is imitated
Rate value is higher, illustrate scheme output value and input ratio it is higher, input it is higher relative to the Quality degree of effective utilization of output, i.e.,
The problem of in view of economy, the feasibility of scheme is higher, and objectively analysis sequence can be so carried out to scheme.
From the above-mentioned description of this invention, compared with prior art, the present invention has the advantages that：
(1) appraisal procedure of a kind of distributed power source access power distribution network for considering idle work optimization of the present invention, with nothing
The angle of work(optimization is set out, distributed from different node access distributed power source DG (Distributed Generation)
The capacity of power supply adjusts within the specific limits, chooses optimized algorithm and carries out idle work optimization, object function bag to whole power distribution network
Active power loss and node voltage offset are included, the limitation of constraints is carried out to each variable, idle work optimization can obtain object function
Value and the value of corresponding control variable (including：ULTC gear, shunt capacitor reactive capability, distribution
Output that power supply is idle)；
(2) combine super-efficient data envelopment analysis method, by ULTC gear, shunt capacitor reactive capability,
Distributed power source is idle to contribute, input quantity of the distributed power source access capacity as super-efficient data envelopment analysis, to two mesh
Offer of tender numerical value asks inverse to be converted into direct index respectively, as the output quantity of scheme, carries out super-efficient data envelopment analysis efficiency value
Calculate, the scheme after being accessed to different nodes is ranked up, and is obtained optimal access node and corresponding capacity, is so not only examined
The problem of considering idle work optimization, scheme benefit is also related to, it is more thorough, objective；
(3) Data Envelopment Analysis Theory is applied in the access assessment of power distribution network distributed power source by the present invention, can be with objective
The DG to different capabilities from different nodes access power distribution network after quality be ranked up, to power distribution network distributed power source access
Assessment has deep meaning, simultaneously, moreover it is possible to guides policymaker to carry out idle work optimization before distributed power source accesses power distribution network and asks
The analysis of topic.
Brief description of the drawings
Fig. 1 is the Node power distribution system figures of IEEE 33；
Fig. 2 is a kind of flow chart of the appraisal procedure for the distributed power source access power distribution network for considering idle work optimization of the present invention；
Fig. 3 is the index system figure of scheme evaluation in the present invention；
Fig. 4 is the efficiency value comparison diagram assessed with traditional CCR-DEA and super efficiency DEA embodiment scheme.
Embodiment
Below by way of embodiment, the invention will be further described.
The invention provides a kind of appraisal procedure for the distributed power source access power distribution network for considering idle work optimization, from idle excellent
The angle of change is set out, different from power distribution network to minimize active power loss and voltage deviation as the object function of idle work optimization
Node access DG, idle work optimization, in optimization process, DG volume-variable, by shunt capacitor group are carried out using optimized algorithm
The idle output of group number, ULTC gear and distributed power source accesses as control variable, DG from different nodes
One group of prioritization scheme is can obtain, using super DEA to the DG of different capabilities from the idle work optimization after the access of different nodes
Scheme carries out efficiency value calculating, and the sequence of efficiency value can reflect the quality of scheme.
The present embodiment is using the node systems of IEEE 33 as power distribution network analogue system, and the node diagrams of IEEE 33 were as shown in figure 1, should
Power distribution network has 32 branch roads, and head end reference voltage is 12.66kV, power reference value 10MVA.A kind of point for considering idle work optimization
The appraisal procedure of cloth plant-grid connection power distribution network is as shown in Fig. 2 comprise the following steps：
A. initial Load flow calculation is carried out to power distribution network, obtains the data of each bar branch road of power distribution network to be assessed and each node；
B. mode, the control range of device and the on-position of idle work optimization are obtained；
C. the object function of idle work optimization is determined；
D. calculate respectively from the idle excellent of different nodes access distributed power source (Distributed Generation, DG)
Change result；
E. DEA (Data Envelopment Analysis, DEA) method is combined, confirms the input of scheme
With output-index；
F. efficiency value calculating is carried out to different schemes using super efficiency DEA method, DG access nodes and access capacity is carried out
Analysis and evaluation, wherein, the maximum scheme of efficiency value is optimal distribution formula plant-grid connection scheme.
In step a, in Based on Power System Analysis Software Package (Power System Analysis Software
Package, PSASP) on build power distribution network topology controlment, pass through power system all-digital real-time simulation device
(Advanced Digital Power System Simulator, ADPSS) carries out initial Load flow calculation, collects each node
With the data of each bar branch road.Wherein, the data of each node and each bar branch road include but is not limited to：Node serial number, circuit number,
Reactance, load active power, reactive load power, node voltage, circuit active power and the circuit of the resistance, circuit of circuit without
Work(power.The data of collection are imported in MATLAB and optimize emulation.
The mode of idle work optimization is switched capacitor group, adjustment ULTC gear and adjusts DG's in step b
Idle output；Output that the control range of device is capacitor reactive capability, ULTC gear, distributed power source is idle
The variable range of this three；On-position is capacitor bank, ULTC, distributed power source this three in power distribution network
Installation site.
ULTC is added between node 1 and 2, the voltage change ratio scope of transformer is 0.9~1.1, stepping
Measure as 1.25%, upper and lower gear number is ± 8.Carry out the switching of capacitor bank in node 31, can the condenser capacity of switching be
100KVar×10.It is that 2,6,10,14,18 this 5 nodes refer to access node as DG and analyzed to choose numbering, DG's
Capacity Selection scope is 0.5MW-1.5MW, and DG idle output scope is：0KVar-500KVar.
In step c, idle work optimization object function includes power distribution network active power loss f1With voltage deviation f2, expression formula is as follows:
In above formula, UiAnd UjRespectively node i and node j voltage magnitude；GijFor the conductance of i-j branch roads；θijFor node i
With the phase angle difference of node j voltage；N is the set of all node compositions of system,It is inclined for the maximum permissible voltage of node i
Shifting value；For the desired voltage of node i.
GA for reactive power optimization general objective function expression is in the present invention：
Minf=ω1f1+ω2f2 (3)
In above formula, f is idle work optimization catalogue scalar functions, f1For power distribution network active power loss, f2For voltage deviation, ω1、ω2
For weights, and there is ω1+ω2=1.
Active power and the reactive power equilibrium constraint of each node are as follows：
Each control variables constraint is as follows：
Tmin<T<Tmax (6)
QC.min<QC<QC.max (7)
QDG.min<QDG<QDG.max (8)
Wherein, PiAnd QiThe respectively active power and reactive power of node injection；UiAnd UjRespectively node i and node j
Voltage magnitude；GijAnd BijThe respectively conductance and susceptance of i-j branch roads；θijFor node i and the phase angle difference of node j voltage；T
For the position of on-load transformer tap changer, TminAnd TmaxRespectively ULTC minimum gear and maximum gear；
QCFor the reactive capability of shunt capacitor, Qc.minAnd Qc.maxThe respectively minimum value and maximum of shunt capacitor reactive capability；
QDGIt is DG without work output, QDG.minAnd QDG.maxThe respectively DG minimum value and maximum without work output.
In step d, during idle work optimization, by shunt capacitor group group number, ULTC gear, DG nothing
Work(is contributed as control variable, and DG capacity is arranged into adjustable several specifications within the specific limits, so can be to DG appearance
Amount is preferentially chosen, and obtains the DG access capacities under idle work optimization target function value optimal situation.Respectively from different nodes
DG is accessed, chooses optimized algorithm, by changing the value of each variable, optimizing is carried out to target function value, solution obtains different nodes
Access the idle work optimization result of distributed power source.The optimized algorithm can be bacterial clump optimized algorithm, the bacterial clump
Optimized algorithm is prior art, and the present embodiment does not elaborate.
In step e, the index of scheme evaluation is as shown in Figure 3.The input pointer of scheme include shunt capacitor reactive capability,
Input quantity that ULTC voltage change ratio, distributed power source are idle, distributed power source capacity；By the active power loss of power distribution network
Seek two output-indexes measured as scheme reciprocal for being converted into direct index and obtaining respectively with voltage deviation.
Super efficiency DEA mathematical modeling is：
In above formula, s.t. is the common knowledge of art of mathematics, represents the affined meaning, that is, to meet constraints；θ
For scheme input quantity relative to the Quality degree of effective utilization of output quantity, i.e., the efficiency value asked for of each scheme in the present invention；N is side
Case sum, k are the numbering of scheme to be assessed；Xj、YjInput pointer, the output-index of respectively j-th scheme；S-Refer to for input
Target slack variable, S+For the surplus variable of output-index；λjFor weight coefficient；Xk、YkThe input pointer of respectively k-th scheme,
Output-index.
In step f, calculate the efficiency value of each scheme, be ranked up, efficiency value is higher, illustrate the output value of scheme with
The ratio of input is higher, input it is higher relative to the Quality degree of effective utilization of output, i.e., in view of economy the problem of, scheme can
Row is higher, and objectively analysis sequence can be so carried out to scheme.
The Node power distribution system data of IEEE 33 are as shown in table 1.
Table 1
In this example, scheme is emulated, can obtain DG after this 5 different node accesses of node 2,6,10,14,18
The simulation result of idle work optimization.Wherein, the power distribution network active power loss and voltage deviation after different node accesses after idle work optimization
As shown in table 2.
Table 2
| Protocol Numbers | DG access nodes | Active power loss (p.u.) | Voltage deviation |
| DMU1 | 2 | 0.0173 | 0.2422 |
| DMU2 | 6 | 0.0128 | 0.1734 |
| DMU3 | 10 | 0.0125 | 0.1014 |
| DMU4 | 14 | 0.0116 | 0.0781 |
| DMU5 | 18 | 0.0130 | 0.0818 |
The calculating of efficiency value is carried out to different schemes with super efficiency DEA method, as a result as shown in table 3.
Table 3
| Protocol Numbers | DG access nodes | Super efficiency DEA efficiency value |
| DMU1 | 2 | 0.7137 |
| DMU2 | 6 | 0.9155 |
| DMU3 | 10 | 0.9280 |
| DMU4 | 14 | 1.2414 |
| DMU5 | 18 | 1.1463 |
Analyzed by upper table, in 5 nodes for reference, distributed power source from node 14 access after it is idle excellent
Change the scheme DEA efficiency value highests of result, be that DEA is effective, the input of scheme relative to output Quality degree of effective utilization highest, and
The active power loss that idle work optimization obtains after node access is relatively low, and voltage deviation is also smaller, Comprehensive Assessment, in this 5 nodes,
Node 14 is optimal access node.It is idle after being accessed according to super efficiency DEA to the result of scheme evaluation to 5 distributed power sources
Optimization situation is ranked up：DMU4>DUM5>DMU3>DMU2>DMU1, the effect of scheme 4 is more preferable, and the feasibility of scheme 1 is worst.Root
According to simulation result, it is 0.7MW to select DG capacity, is accessed in node 14, is the optimal case of this 5 schemes to be assessed.
Fig. 4 is that the efficiency value that 5 schemes are assessed in embodiment is contrasted with traditional CCR-DEA and super efficiency DEA
Figure.As seen from the figure, when the efficiency value of scheme is less than 1 (scheme 1, scheme 2, scheme 3 in such as Fig. 4), with CCR-DEA and super effect
The efficiency value that rate DEA is asked for is equal, and these schemes are non-weak effective；When scheme is at least it is weak effective when, i.e. side in Fig. 4
Case 4, scheme 5, it is all 1 with both CCR-DEA efficiency values tried to achieve, trap queuing can not be carried out to scheme 4 and scheme 5, and surpasses
Efficiency DEA still has preferable discrimination, has embodied the superiority of super efficiency DEA.
Above-described embodiment is not used as limitation of the invention only to illustrate the present invention.As long as according to this hair
Bright technical spirit, above-described embodiment is changed, modification etc. will all fall in scope of the presently claimed invention.
Claims (12)
1. a kind of appraisal procedure for the distributed power source access power distribution network for considering idle work optimization, it is characterised in that including following step
Suddenly：
A, initial Load flow calculation is carried out to power distribution network, obtains the data of each bar branch road of power distribution network to be assessed and each node；
B, mode, the control range of device and the on-position of idle work optimization are obtained；
C, the object function of idle work optimization is determined；
D, the idle work optimization result from different nodes access distributed power source is calculated respectively using Reactive Power Optimization Algorithm for Tower；
E, with reference to DATA ENVELOPMENT ANALYSIS METHOD, input and the output-index of scheme are confirmed；
F, efficiency value calculating is carried out to accessing distributed power source scheme from different nodes using super-efficient data envelopment analysis method, it is right
Distributed power source access node and access capacity carry out analysis and evaluation, wherein, the maximum scheme of efficiency value is optimal distribution formula
Plant-grid connection scheme.
2. the appraisal procedure of the distributed power source access power distribution network according to claim 1 for considering idle work optimization, its feature
It is, it is described that initial Load flow calculation is carried out to power distribution network in step a, obtain each bar branch road of power distribution network to be assessed and each node
Data, including：Power distribution network topology controlment is built on Based on Power System Analysis Software Package, it is digital by power system
Real-time simulation apparatus carries out initial Load flow calculation, collects the data of each node and each bar branch road.
3. the appraisal procedure of the distributed power source access power distribution network according to claim 2 for considering idle work optimization, its feature
It is, the data of each node and each bar branch road include：Node serial number, circuit number, the resistance of circuit, the electricity of circuit
Anti-, load active power, reactive load power, node voltage, circuit active power and circuit reactive power.
4. the appraisal procedure of the distributed power source access power distribution network according to claim 1 for considering idle work optimization, its feature
It is, in step b, the mode of the idle work optimization includes switched capacitor group, adjustment ULTC gear and adjustment
The idle output of distributed power source；The control range of described device is capacitor reactive capability, ULTC gear, divided
Cloth power supply is idle contribute this three variable range；The on-position is capacitor bank, ULTC, distribution
Installation site of this three of power supply in power distribution network.
5. the appraisal procedure of the distributed power source access power distribution network according to claim 1 for considering idle work optimization, its feature
It is, in step c, the idle work optimization object function includes power distribution network active power loss f1With voltage deviation f2, expression formula is such as
Under:
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In above formula, UiAnd UjRespectively node i and node j voltage magnitude；GijFor the conductance of i-j branch roads；θijFor node i and section
The phase angle difference of point j voltage；N is the set of all node compositions of power distribution network,Offset for the maximum permissible voltage of node i
Value；For the desired voltage of node i.
6. the appraisal procedure of the distributed power source access power distribution network according to claim 5 for considering idle work optimization, its feature
It is, GA for reactive power optimization general objective function expression is：
Minf=ω1f1+ω2f2 (3)
In above formula, f is idle work optimization catalogue scalar functions, ω1、ω2For weights, and there is ω1+ω2=1.
7. the appraisal procedure of the distributed power source access power distribution network according to claim 5 for considering idle work optimization, its feature
It is, the constraints of variable includes the active power and reactive power equilibrium constraint and each control variables constraint of each node；
Active power and the reactive power equilibrium constraint of each node are as follows：
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Each control variables constraint is as follows：
Tmin<T<Tmax (6)
QC.min<QC<QC.max (7)
QDG.min<QDG<QDG.max (8)
Wherein, PiAnd QiThe respectively active power and reactive power of node injection；BijFor the susceptance of i-j branch roads；T adjusts to have to carry
The position of pressure transformer tap, TminAnd TmaxRespectively ULTC minimum gear and maximum gear；QCFor parallel connection
The reactive capability of capacitor, Qc.minAnd Qc.maxThe respectively minimum value and maximum of shunt capacitor reactive capability；QDGFor distribution
Formula power supply without work output, QDG.minAnd QDG.maxThe respectively minimum value and maximum without work output of distributed power source.
8. the appraisal procedure of the distributed power source access power distribution network according to claim 1 for considering idle work optimization, its feature
It is, in step d, during idle work optimization, by shunt capacitor group group number, ULTC gear and distributed power source
Idle output as control variable, the capacity of distributed power source is arranged to adjustable several specifications within the specific limits, this
Sample can preferentially be chosen to the capacity of distributed power source, obtain the distributed electrical under idle work optimization target function value optimal situation
Source access capacity.
9. the appraisal procedure of the distributed power source access power distribution network according to claim 8 for considering idle work optimization, its feature
It is, accesses distributed power source from different nodes respectively, optimized algorithm is chosen, by changing the value of each variable, to target letter
Numerical value carries out optimizing, solves and obtains the idle work optimization result of different node access distributed power sources.
10. the appraisal procedure of the distributed power source access power distribution network according to claim 1 for considering idle work optimization, its feature
It is, in step e, the input pointer of scheme includes shunt capacitor reactive capability, ULTC voltage change ratio, distribution
Input quantity that formula power supply is idle, distributed power source capacity；The active power loss of power distribution network and voltage deviation are asked into conversion reciprocal respectively
Two output-indexes measured as scheme obtained for direct index.
11. the appraisal procedure of the distributed power source access power distribution network according to claim 1 for considering idle work optimization, its feature
It is, in step f, the mathematical modeling of super-efficient data envelopment analysis method is
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In above formula, s.t. is the common knowledge of art of mathematics, represents the affined meaning, that is, to meet constraints；θ is side
The input quantity of case is relative to the Quality degree of effective utilization of output quantity, i.e., the efficiency value that each scheme is asked in the present invention；N is that scheme is total
Number, k are the numbering of scheme to be assessed；Xj、YjInput pointer, the output-index of respectively j-th scheme；S-For input pointer
Slack variable, S+For the surplus variable of output-index；λjFor weight coefficient；Xk、YkThe input pointer of respectively k-th scheme, output
Index.
12. the appraisal procedure of the distributed power source access power distribution network according to claim 1 for considering idle work optimization, its feature
It is, in step f, calculating the efficiency value from different nodes access distributed power source scheme, being ranked up, efficiency value is higher,
The output value of explanation scheme and the ratio of input are higher, input it is higher relative to the Quality degree of effective utilization of output, that is, consider warp
The problem of Ji property, the feasibility of scheme is higher, and objectively analysis sequence can be so carried out to scheme.
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| CN108879700A (en) * | 2018-08-22 | 2018-11-23 | 广东电网有限责任公司 | A kind of adjusting method of network voltage, device and equipment |
| CN109063972A (en) * | 2018-07-09 | 2018-12-21 | 南昌大学 | A kind of engineering shop's manufacture system total-factor energy efficiency evaluation method |
| CN109188204A (en) * | 2018-09-07 | 2019-01-11 | 济南大学 | The power distribution network theoretical line loss caluclation method of meter and small power supply |
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| CN112713599A (en) * | 2020-12-17 | 2021-04-27 | 郑州轻工业大学 | Comprehensive evaluation method for voltage supporting capability of distributed power supply |
| CN115051392A (en) * | 2021-12-24 | 2022-09-13 | 国网浙江省电力有限公司衢州供电公司 | Reactive power coordination optimization control method containing new energy, stored energy and flexible load |
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| CN108808745B (en) * | 2018-06-20 | 2021-08-03 | 华侨大学 | Dynamic reactive power optimization method for active power distribution network |
| CN109063972B (en) * | 2018-07-09 | 2021-07-20 | 南昌大学 | Method for evaluating full-factor energy efficiency of machining workshop manufacturing system |
| CN109063972A (en) * | 2018-07-09 | 2018-12-21 | 南昌大学 | A kind of engineering shop's manufacture system total-factor energy efficiency evaluation method |
| CN108879700A (en) * | 2018-08-22 | 2018-11-23 | 广东电网有限责任公司 | A kind of adjusting method of network voltage, device and equipment |
| CN109188204A (en) * | 2018-09-07 | 2019-01-11 | 济南大学 | The power distribution network theoretical line loss caluclation method of meter and small power supply |
| CN110611315A (en) * | 2019-10-14 | 2019-12-24 | 国网四川省电力公司经济技术研究院 | Distributed power supply maximum access capacity calculation method considering transmission and distribution coordination |
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| CN111625770A (en) * | 2020-03-30 | 2020-09-04 | 贵州电网有限责任公司 | Energy efficiency evaluation method and system for power distribution network with distributed power supply |
| CN112713599A (en) * | 2020-12-17 | 2021-04-27 | 郑州轻工业大学 | Comprehensive evaluation method for voltage supporting capability of distributed power supply |
| CN112713599B (en) * | 2020-12-17 | 2023-03-03 | 郑州轻工业大学 | Comprehensive evaluation method for voltage supporting capability of distributed power supply |
| CN115051392A (en) * | 2021-12-24 | 2022-09-13 | 国网浙江省电力有限公司衢州供电公司 | Reactive power coordination optimization control method containing new energy, stored energy and flexible load |
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