CN107085648A - A kind of power network development ability integration diagnosis index system construction method - Google Patents
A kind of power network development ability integration diagnosis index system construction method Download PDFInfo
- Publication number
- CN107085648A CN107085648A CN201710347283.0A CN201710347283A CN107085648A CN 107085648 A CN107085648 A CN 107085648A CN 201710347283 A CN201710347283 A CN 201710347283A CN 107085648 A CN107085648 A CN 107085648A
- Authority
- CN
- China
- Prior art keywords
- mtd
- mrow
- msub
- power network
- mtr
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/06—Electricity, gas or water supply
-
- 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
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
Abstract
The present invention provides a kind of power network development ability integration diagnosis index system construction method, comprises the following steps：Step 1: building destination layer, it is power network development diagnosis index system；Step 2: key-course is built, including 6 indexs, respectively power network scale, electric network composition, utilization ratio, security reliability, equipment level, operating environment；Step 3: Internet is built, including 39 indexs, key-course index is corresponded to respectively, Step 4: calculating indices weights omega based on analytic network processi；Step 5: building aggregate model；Step 6: diagnostic result is shown.The present invention combines power network development rule, from power network development self-condition and external factor limitation, the index of correlation of influence power network development is chosen, and from the angle of power network long-run development, consider the restrictions of the resource to power network development such as the energy, environment, soil, propose a kind of innovative index.
Description
Technical field
The present invention relates to technical field of electric power, specifically a kind of power network development ability integration diagnosis index system structure side
Method.
Background technology
State Council in 2015《Some opinions on further in-depth power system reform》No. nine files " lifting planning
Coverage rate, authoritative and scientific ... set up planning implementation inspection, supervision, assessment, assessment mode mechanism " power network development is examined
Disconnected to propose requirement, power network development diagnosis should provide objective technical support for planning for the expansion of power grids, be to improve administration of power networks
The important decision foundation of level；Simultaneously according to Guo Wang companies lean, the requirement of fine-grained management, power network development diagnosis into
For one of annual special work.It is to set up to reflect that power network development shows to carry out the most basic task of power network development diagnostic work
The composite target system of shape and developing ability.
At present, existing research is less both at home and abroad carries out deep analyzing and diagnosing from system, on the whole to area power grid, greatly
Majority is analyzed and researched in terms of electric network security, power supply quality etc. are single to power network, and the coverage rate of diagnosis is not comprehensive enough.
The content of the invention
In order to overcome the shortcomings of existing power network development diagnosis index system, it is comprehensive that the present invention proposes a kind of power network development ability
Conjunction property diagnosis index system construction method, it combines power network development rule, is limited from power network development self-condition and external factor
Set out, choose the index of correlation of influence power network development, and from the angle of power network long-run development, it is considered to the energy, environment, soil etc. are provided
Restriction of the source to power network development, proposes a kind of innovative index.
A kind of power network development ability integration diagnosis index system construction method, comprises the following steps：
Step 1: building destination layer, it is power network development diagnosis index system；
Step 2: key-course is built, including 6 indexs, respectively power network scale, electric network composition, utilization ratio, safety can
By property, equipment level, operating environment；
Step 3: Internet is built, including 39 indexs, key-course index is corresponded to respectively,
Step 4: calculating indices weights omega based on analytic network processi；Agriculture products weight is overall merit mould
The core of type, the setting of weight coefficient reflects the attention degree to each index.In order to preferably describe the pass between each index
Connection relation, it is considered to influencing each other between element and dominate, power network development diagnosis index system is built using analytic network process
ANP models, so as to try to achieve the weight coefficient ω of indexi；
Step 5: building aggregate model：The purpose for building aggregate model is to be asked by the numerical value and weight coefficient of each index
Comprehensive evaluation value is obtained, aggregate model is built by the way of linear weighted function is integrated：
In formula：yjFor power network sample j comprehensive evaluation value；N is overall performane number；xijFor power network sample j indexs i index
Value；
Step 6: diagnostic result is shown：Close examination directly perceived to diagnostic result is provided, realized by Comprehensive quantitative evaluation value to each
The transverse and longitudinal contrast of power network development situation is outer, also corresponding radar map is drawn by the intermediate result of evaluation procedure, according to radar map
The contrast of shape, can intuitively judge the advantage and deficiency of each power network development.
Further, wherein the Internet index of corresponding power network scale has transformer station's seat number, transformer number of units, becomes electric capacity
Amount, the number of lines, line length, the equivalent installation of unit power network scale support and unit power network scale support power load；
The Internet index of correspondence electric network composition has ratio of transformer capacity to load, circuit capacity-load ratio, 500-10kV power transformation capacities to match somebody with somebody
Than, the average single line length of power network Connected degree, 110-10kV, 110-10kV single back line distribution of lengths；
The Internet index of correspondence utilization ratio have circuit year average eguivalent load factor, main transformer year average eguivalent load factor,
Transformer station's land utilization efficiency；
The Internet index of correspondence security reliability have 220kV and the distribution of above short circuit current flow, county domain electrical network weak link,
Integrated voltage qualification rate, 10kV Power System Interconnection rates；
The Internet index of corresponding device level has transformer availability coefficient, circuit availability coefficient, transformer forced outage
Rate, circuit forced outage rate, the average life span of power transmission and transformation asset retirement equipment, intelligent substation seat number ratio, transformer station integrate certainly
Dynamic rate, power distribution automation coverage rate, 10kV cables rate, 10kV overhead insulatings rate, 10kV switch oil-free rates；
Correspondence operating environment Internet index have installed capacity, different type installed capacity accounting, Analyzing Total Electricity Consumption,
System adjusts peak load, transformer station's land resource nargin, line corridor land resource nargin, renewable energy power generation amount accounting, carbon
Discharge nargin.
Further, it is described that indices weights omega is calculated based on analytic network processi, specifically include：
(1) foundation of judgment matrix and ordering vector
If key-course has n element B in power network development diagnosis index system1, B2..., Bn, i.e. the criterion of relative target.Net
Network layers have n element set C1, C2..., Cn, CiIn have element ei1, ei2...,... (i=1,2 ..., n), CjThere is element ejk(k
=1,2 ..., nj), the Judgement Matricies first under control criterion, according to element set CjIn element ejkInfluence degree enter
Row compares two-by-two, then tries to achieve ordering vector according to eigenvalue methodIf this feature vector can lead to
Consistency check is crossed, then is write as matrix form, you can partial weight vector matrix is obtained：
If CjIn element not by CiMiddle element influences, then Wij=0；
(2) foundation of hypermatrix
Similarly, the internal and external relation of other elements collection element is compared successively, can obtain each element in Internet mutual
Mutually influence ordering vector constitute without weight hypermatrix W：
W each element is matrix, arranges and is 1, but W is not normalization matrix, need to arrange hypermatrix for convenience of calculating
Normalization, i.e., weight to W element, obtains weighting hypermatrix；
(3) calculating of hypermatrix is weighted
In key-course BnUnder criterion, according to Internet each group element to Cj(j=1,2 ..., significance level n) is compared
Compared with obtaining normalized ordering vector：
Hj=[h1j..., hnj]T
And then weighting matrix can be obtained：
Matrix H is multiplied with W Ji Wei weighting hypermatrix
(4) hypermatrix W is stable is handled
Calculate the limit relative order vector of each hypermatrix：
If the limit restrains and unique, the value of original matrix correspondence row is the weight of each index, by can be calculated each finger
Target weighted value ωi。
Power network development ability integration diagnosis index system main feature in the present invention has：(1) from Electric Power Network Planning person angle
Degree sets out, to instruct power network development diagnostic service；(2) combine power network development rule, from power network development self-condition and it is outside because
Element limitation is set out, and chooses the index of correlation of influence power network development, and from the angle of power network long-run development, it is proposed that advised by power network
The power network development diagnosis index that mould, electric network composition, security reliability, utilization ratio, equipment level, the aspect of external environment condition six are constituted
System；(3) index system is horizontally formed systematic diagnostic analysis from macroscopic perspective to the overall development of power network, can realize
Comprehensive, multi-angle accurate analysis to power network development, is conducive to holding the development level of area power grid on the whole, more entirely
Power network development trend is evaluated to face, lean managerial skills are improved；The leak and defect of power network various aspects are found in time, are improved
Power equipment utilization rate and economize on resources, be conducive to the sound development of power network；Be conducive to lifting power network level, be preferably economy
Development service；Help to better meet the growing electrical energy demands of the people, improve power supply quality；(4) index system makes
The coverage rate of diagnosis is more comprehensively, it is considered to restriction of the resource such as the energy, environment, soil to power network development, innovatively proposes power network
Development and the diagnosis index of relation in terms of economy, energy environment and environmental resource；(5) index body proposed by the invention is passed through
System is layered from longitudinal direction (time) and horizontal (space) two angles by voltage class respectively to be divided the progress diagnosis of power network development situation
Analysis, can guide regional power developing direction, and Optimization of Energy Structure finds power network development weak link, assesses power network development empty
Between, hold developing direction；(6) power is assigned using analytic network process, sets up element group criterion so that phase between each element
Mutually contact, it is ensured that the accuracy of calculating, operation result has higher confidence level.
Brief description of the drawings
Fig. 1 is the schematic diagram for the power network development ability integration diagnosis index system that the present invention is built；
Fig. 2 is five area power grids development diagnosis radar map in the embodiment of the present invention.
Embodiment
Below in conjunction with the accompanying drawing in the present invention, the technical scheme in the present invention is clearly and completely described.
Referring to Fig. 1, the embodiment of the present invention provides a kind of power network development ability integration diagnosis index system construction method,
Methods described comprises the following steps：
Step 1: building destination layer, it is power network development diagnosis index system；
Step 2: key-course is built, including 6 indexs, respectively power network scale, electric network composition, utilization ratio, safety can
By property, equipment level, operating environment；The key-course controls a network structure respectively to being above under the jurisdiction of destination layer to lower；
Step 3: Internet is built, including 39 indexs, key-course index is corresponded to respectively,
It is specifically described as follows：
Power network scale will be adapted with regional society's level of economic development, with economic development, keep rational power network rule
Mould is most important for normally being run to socio-economic development and power network.From power network scale angle, with reference to power network development from
Body and external condition limitation, set up power network development scale diagnosis system, make power grid operation, building, design size is in adaptable area
In the case of socio-economic development, consider time value on assets while the demand for meeting power supply online and load growth, make comprehensive
Close returns of investment and reach maximum.
1) C1-1 transformer stations seat number.Statistical Criteria：Public transformer substation, 500-10kV.
2) C1-2 transformers number of units.Statistical Criteria：Public transformer substation, 500-10kV.
3) C1-3 power transformation capacities.Statistical Criteria：Public transformer substation, 500-10kV.
4) the C1-4 numbers of lines.Statistical Criteria：Public line (overhead line/cable), 500-10kV.
5) C1-5 line lengths.Statistical Criteria：Public line (overhead line/cable), 500-10kV.
6) C1-6 units power network scale supports equivalent installation.Index reflection 500kV power networks power transformation capacity and transmission line of electricity
The excessive explanation power network scale of support situation desired values that scale is installed to power supply is not enough to Power Support installation scale or power supply
Installed capacity is excessive, is mismatched with power network practical development speed；The too small explanation power construction of desired value is not enough or power network scale
Construction speed is too fast, should combine regional socio-economic development speed, need for electricity concrete analysis.Statistical Criteria：500kV. calculate
Method：Unit power transformation capacity supports equivalent installation=equivalent source installation/power transformation capacity sum；Unit line length support is equivalent
Installation=equivalent source installation/line length sum.
7) C1-7 units power network scale support power load.Index reflection 220kV power networks power transformation capacity and transmission line of electricity
Scale is not enough to support power load, power grid construction speed to the excessive explanation power network scale of support situation desired values of power load
Degree lags behind load growth demand, need to readjust planning, reasonable arrangement project construction sequential；The too small explanation power network of desired value is built
If excessive velocities, the idleness of equipment, investment waste can be caused.Statistical Criteria：220kV.Computational methods：The support of unit power transformation capacity is used
Electric load=maximum power consumption load/power transformation capacity sum；Unit line length support power load=maximum power consumption load/circuit
Length sum.
Power network is layered by voltage, by regional subregion.Layering refers to longitudinal hierarchical structure that power network is formed by voltage class, is
The longitudinal direction topology of whole power network；Subregion refers to that power network can be divided into some regions for being capable of independent operating, is the horizontal stroke of whole power network
To topology, it may be said that modern power systems are network area and Regional Networked.Power network development diagnosis is carried out to study
Each floor of power network, the architectural characteristic in each area, to optimize network structure, improve power supply capacity, reduction loss.
8) C2-1 ratios of transformer capacity to load.The index reflects power supply of a certain regional power grid power transformation capacity for load on the whole
Ability.Statistical Criteria：500—35kV.
9) C2-2 circuits capacity-load ratio.The index refers to consideration line length as weight coefficient, the thermally-stabilised conveying power of circuit
The ratio of trend is conveyed with circuit under the conditions of system maximum load.Reflect the overall ability to transmit electricity nargin of power network line.Calculating side
Method：Circuit capacity-load ratio=Σ (the thermally-stabilised conveying Power x line length of circuit)/Σ (Line Flow × circuits during system peak load
Length).Statistical Criteria：500kV、220kV.
10) 500-10kV of C2-3 power transformation capacities are matched.The index reflection 500-10kV voltage class power network power transformation capacities
Proportioning, embody power network power supply capacity.Statistical Criteria：500—10kV.
11) C2-4 power networks Connected degree.Reflect the tightness degree that a certain voltage class transformer station contacts with other transformer stations.Meter
Calculation method：A certain voltage class power network Connected degree=(2 × voltage class number of lines)/transformer station seat number.Statistical Criteria：
500kV、220kV。
12) the average single line length of 110-10kV of C2-5.The average radius of electricity supply of the index reflection distribution network line.
Statistical Criteria：110—10kV.
13) 110-10kV of C2-6 single back lines distribution of lengths.The a certain voltage class single back line length of the index reflection
Distribution situation.Statistical Criteria：110—10kV.
While power network is fast-developing, not only to pay attention to development speed, while development quality should be paid close attention to.At present both at home and abroad still
Without ripe power network utilization ratio evaluation method and evaluation criterion.Therefore, it should build rationally effective power network utilization ratio and examine
Disconnected system, improves assets utilization efficiency, makes full use of place capacity, improves operation level, it is to avoid investment waste.
14) C3-1 circuits year average eguivalent load factor.All circuit year average eguivalents of a certain voltage class of the index expression
Active power sum conveys the ratio between power sum with economical.Statistical Criteria：500—10kV.
15) C3-2 main transformers year average eguivalent load factor.All transformers year of a certain voltage class of the index expression are equivalent flat
The ratio between equal active power sum and specified power transformation capacity sum.Statistical Criteria：500—10kV.
16) C3-3 transformer stations land utilization efficiency.The a certain voltage class transformer station power transformation capacity of the index expression with it is shared
The ratio between land area.Statistical Criteria：500—110kV.
In order to realize that a wide range of of energy resources is distributed rationally, power grid construction paces are constantly accelerated, and power network scale is increasingly
Greatly, power network start to high voltage, interconnect the large-scale interconnected power system that is characterized by force and develop, step into using strong intelligent grid as
The new stage of mark.Power grid security reliability diagnosis system is set up, science diagnoses the security reliability level of area power grid, is ground
Area's socio-economic development provides the supply of electric power of safety and reliability, it is to avoid the generation of power grid accident, most important to power network development.
17) C4-1 220kV and the distribution of above short circuit current flow.It is interval at each that the index refers to substation bus bar short circuit current flow
The distribution proportion of section.Statistical Criteria：500kV、220kV.
18) C4-2 counties domain electrical network weak link.The index refers to county domain power network and gets in touch with weak number and isolated power grid with major network
County domain power network number sum.
19) C4-3 integrated voltage qualification rates.Index reflection distribution network electric energy qualities at different levels.
20) C4-4 10kV Power System Interconnections rate.The index refers to the circuit ratio that 10kV circuits meet interconnection architecture, reflects line
Road interconnection mutually energizes power.Statistical Criteria：10kV.
Power network is technology-intensive industry, and technological innovation has decisive, essence effect to power network development.Power network is sent out
All difficulties and challenge are inevitably run into exhibition, it is necessary to play leading and impetus for technological innovation, depend on science and technology
It is progressive to improve power network power supply capacity, allocative abilities and economy.Therefore should set up the horizontal diagnosis index system of grid equipment with
Preferably support grid health development.
21) C5-1 transformers availability coefficient.The available hours number accounting of each voltage class transformer of the index reflection.Statistics
Bore：500—110kV.
22) C5-2 circuits availability coefficient.The available hours number accounting of each voltage class circuit of the index reflection.Count mouth
Footpath：500—110kV.
23) C5-3 transformers forced outage rate.The forced outage number of times of each voltage class transformer of the index reflection.Statistics
Bore：500—110kV.
24) C5-4 circuits forced outage rate.The forced outage number of times of each voltage class circuit of the index reflection.Count mouth
Footpath：500—110kV.
25) C5-5 power transmission and transformation asset retirement equipment average life span.The indicator-specific statistics includes transformer, breaker, kept apart
Close and fully closed combined electric unit (GIS).Statistical Criteria：500—110kV.
26) C5-6 intelligent substations seat number ratio.Statistical Criteria：500—110kV.
27) C5-7 integrated automations of transformation stations rate.Statistical Criteria：500—110kV.
28) C5-8 power distribution automations coverage rate.Realize power distribution automation region 10kV circuits in the index reflection this area
Ratio.Statistical Criteria：10kV.
29) C5-9 10kV cables rate.Statistical Criteria：10kV.
30) C5-10 10kV overhead insulatings rate.Statistical Criteria：10kV (city has jurisdiction over service area).
31) C5-11 10kV switch oil-free rate.Statistical Criteria：10kV.
Power network development with its planning, build, operation each link in power supply, load, energy resources, land resource,
The external environment condition formed in terms of environmental resource is closely bound up.Power network development external environment condition diagnosis system is set up, power network is analyzed
Development and the relation of economy, energy resources and environmental resource, it is considered to soil, the scarcity of corridor resource, diagnosis power network development are empty
Between.
32) C6-1 installed capacitys.Each voltage class power supply installation access capacity in the index reflection this area.Statistical Criteria：
500—10kV。
33) C6-2 different types installed capacity accounting.Reflect power supply installation structure change situation during this area's statistics, instead
Reflect with the breakthrough of development of clean energy technology, the continuous lifting of economy and the market competitiveness, fossil is substituted with clean energy resource
The development trend of the energy.Be considered as during diagnosis under Power Market, different regions resource distribution, development cost and technology because
The influence that structure of being installed in terms of element, using energy source difficulty, environmental protection factor, government policy to this area power supply is caused.System
Count bore：The whole network.
34) C6-3 Analyzing Total Electricity Consumptions.Analyzing Total Electricity Consumption during the index reflection is counted.
35) C6-4 systems adjust peak load.System adjusts peak load during the index reflection is counted.
36) C6-5 transformer stations land resource nargin.The utilizable land area of index expression transformer station development construction
Account for the ratio of space required, the availability of reflection transformer station land resource.Computational methods：Transformer station's land resource nargin=power transformation
Standing, construction usable land area/Substation Capacity Scale is adaptable to need land area.(note：It can be referred to using land area
The power grid construction land used in Urban-rural Development planning and land use planning is included.)
37) C6-6 line corridors land resource nargin.The utilizable soil of index expression line corridor development construction
Area accounts for the ratio of space required, reflects the availability of line corridor land resource.
38) C6-7 renewable energy power generations amount accounting.The index refers to power network renewable energy power generation amount (including water power, wind
Electricity, photovoltaic and other regenerative resources) and power supply annual electricity generating capacity ratio.
39) C6-8 carbon emissions nargin.The index is the ratio that regional year carbon emission quota balance accounts for carbon emission quota, reflection
Regional carbon emission nargin.
Step 4: calculating indices weights omega based on analytic network processi；This is to determine that index weights are that synthesis is commented
The core of valency model, the setting of weight coefficient reflects the attention degree to each index.In order to preferably describe between each index
Incidence relation, it is considered to influencing each other between element and dominate, power network development diagnosis index built using analytic network process
The ANP models of system, so as to try to achieve the weight coefficient ω of indexi。
It is described that indices weights omega is calculated based on analytic network processi, specifically include：
(1) foundation of judgment matrix and ordering vector
The relative importance of each index in power network development diagnosis index system is judged using Delphi method, frequently with 1~9 mark
Degree method is used as criterion.
If key-course has n element B in power network development diagnosis index system1, B2..., Bn, i.e. the criterion of relative target.Net
Network layers have n element set C1, C2..., Cn, CiIn have element ei1, ei2...,... (i=1,2 ..., n), CjThere is element ejk(k
=1,2 ..., nj), the Judgement Matricies first under control criterion, according to element set CjIn element ejkInfluence degree enter
Row compares two-by-two, then tries to achieve ordering vector according to eigenvalue methodIf this feature vector can lead to
Consistency check is crossed, then is write as matrix form, you can partial weight vector matrix is obtained：
If CjIn element not by CiMiddle element influences, then Wij=0；
(2) foundation of hypermatrix
Similarly, the internal and external relation of Internet other elements collection element is compared successively, can obtain each in Internet
Ordering vector that element interacts constitute without weight hypermatrix W：
W each element is matrix, arranges and is 1, but W is not normalization matrix, need to arrange hypermatrix for convenience of calculating
Normalization, i.e., weight to W element, obtains weighting hypermatrix；(3) calculating of hypermatrix is weighted
In key-course BnUnder criterion, according to Internet each group element to Cj(j=1,2 ..., significance level n) is compared
Compared with obtaining normalized ordering vector：
Hj=[h1j..., hnj]T
And then weighting matrix can be obtained：
Matrix H is multiplied with W Ji Wei weighting hypermatrix
(4) hypermatrix W is stable is handled
Calculate the limit relative order vector of each hypermatrix：
If the limit restrains and unique, the value of original matrix correspondence row is the weight of each index, by can be calculated each finger
Target weighted value ωi。
Step 5: building aggregate model：The purpose for building aggregate model is to be asked by the numerical value and weight coefficient of each index
Comprehensive evaluation value is obtained, aggregate model is built by the way of linear weighted function is integrated：
In formula：yjFor power network sample j comprehensive evaluation value；N is overall performane number；xijFor power network sample j indexs i index
Value；
Step 6: diagnostic result is shown：Close examination directly perceived to diagnostic result is provided, realized by Comprehensive quantitative evaluation value to each
The transverse and longitudinal contrast of power network development situation is outer, also corresponding radar map is drawn by the intermediate result of evaluation procedure, according to radar map
The contrast of shape, can intuitively judge the advantage and deficiency of each power network development.
Based on above-mentioned power network development diagnostic method, the application scenarios of analysis indexes choose 220kV layers of grid adaptability evaluation
Index, builds the ANP structures of 220kV power network development diagnosis index systems.Wherein C1 is associated with C3, C7, C17；C2 and C4,
C6, C18 are associated；C3 is associated with C7, C17；C4 is associated with C6, C18；C8 is associated with C17.
Based on five province of A, B, C, D, E 220kV Electric Power Network Plannings in 2016 and actual operating data (table 1), to 220kV electricity
Net carries out development diagnostic analysis.Collected in view of part index number data are more difficult, diagnostic work will be based only upon available data expansion, be related to
The regional power grid overall development diagnostic analysis of more multi objective, more multi-voltage grade need to further strengthen data statistics collection work,
Its diagnostic process is the extension on the basis of this example.
1 five province of table 220kV power network developments diagnosis related data in 2016
ANP calculating process is extremely complicated, for large scale system, can not be manually computed substantially.The present inventor uses base
Weight calculation, each index weights of gained such as institute of table 2 are carried out in professional calculating instrument Super Decisions softwares theoretical ANP
Show.
The index weights result of calculation of table 2
Evaluation score based on analytic hierarchy process (AHP) is as shown in table 3.Diagnostic result can judge that 220kV power networks are sent out on the whole
Show shape.Meanwhile, corresponding radar map is drawn by diagnosis process intermediate result.Various regions are can be found that from the contrast of radar map shape
The weak link and developing direction of area's 220kV power networks.
The evaluation result of table 3
, power network scale, electricity minimum compared to diagnosis score from more other four areas of table 3 and Fig. 2, E area 220kV power networks
Web frame lagging in development is in socio-economic development and load growth requirement, and power network utilization ratio is relatively low, it is proposed that reasonably optimizing subregion,
Strengthens network structure construction, solves emphatically uneven and local regional power supply scarce capacity of the spatial distribution of power transformation capacity and load etc.
Problem, improves operation of power networks level；In terms of external environment condition, built environment change is fast, and the resource for being available for power network development to be utilized is abundant
Degree is smaller, in order to actively seize scarce resource, meets the demand that future load is developed by leaps and bounds, it is proposed that this area will increase 220kV
Electric grid investment dynamics, appropriate advance carries out electricity transmitting and converting construction.
The foregoing is only a specific embodiment of the invention, but protection scope of the present invention is not limited thereto, any
Belong to those skilled in the art the invention discloses technical scope in, the change or replacement that can be readily occurred in, all should
It is included within the scope of the present invention.Therefore, protection scope of the present invention should be defined by scope of the claims.
Claims (3)
1. a kind of power network development ability integration diagnosis index system construction method, it is characterised in that comprise the following steps：
Step 1: building destination layer, it is power network development diagnosis index system；
It is including 6 indexs, respectively power network scale, electric network composition, utilization ratio, safe and reliable Step 2: build key-course
Property, equipment level, operating environment；
Step 3: Internet is built, including 39 indexs, key-course index is corresponded to respectively,
Step 4: calculating indices weights omega based on analytic network processi；Power network hair is built using analytic network process
The ANP models of diagnosis index system are opened up, so as to try to achieve the weight coefficient ω of indexi；
Step 5: building aggregate model：Build aggregate model purpose be to be tried to achieve by the numerical value and weight coefficient of each index it is comprehensive
Evaluation of estimate is closed, aggregate model is built by the way of linear weighted function is integrated：
<mrow>
<msub>
<mi>y</mi>
<mi>j</mi>
</msub>
<mo>=</mo>
<munderover>
<mo>&Sigma;</mo>
<mrow>
<mi>i</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<mi>n</mi>
</munderover>
<msub>
<mi>&omega;</mi>
<mi>i</mi>
</msub>
<msub>
<mi>x</mi>
<mrow>
<mi>i</mi>
<mi>j</mi>
</mrow>
</msub>
</mrow>
In formula：yjFor power network sample j comprehensive evaluation value；N is overall performane number；xijFor power network sample j indexs i desired value；
Step 6: diagnostic result is shown：Close examination directly perceived to diagnostic result is provided, realized by Comprehensive quantitative evaluation value to each power network
The transverse and longitudinal contrast of state of development, also draws corresponding radar map, according to radar map shape by the intermediate result of evaluation procedure
Contrast, intuitively to judge the advantage and deficiency of each power network development.
2. power network development ability integration diagnosis index system construction method as claimed in claim 1, it is characterised in that：Wherein
The Internet index of correspondence power network scale has transformer station's seat number, transformer number of units, power transformation capacity, the number of lines, line length, list
The equivalent installation of position power network scale support and unit power network scale support power load；
The Internet index of correspondence electric network composition has ratio of transformer capacity to load, circuit capacity-load ratio, 500-10kV power transformation capacities proportioning, electricity
The average single line length of net Connected degree, 110-10kV, 110-10kV single back line distribution of lengths；
The Internet index of correspondence utilization ratio has circuit year average eguivalent load factor, main transformer year average eguivalent load factor, power transformation
Stand land utilization efficiency；
The Internet index of correspondence security reliability has 220kV and the distribution of above short circuit current flow, county domain electrical network weak link, synthesis
Rate of qualified voltage, 10kV Power System Interconnection rates；
The Internet index of corresponding device level has transformer availability coefficient, circuit availability coefficient, transformer forced outage rate, line
Road forced outage rate, the average life span of power transmission and transformation asset retirement equipment, intelligent substation seat number ratio, the integrated automation of transformation stations
Rate, power distribution automation coverage rate, 10kV cables rate, 10kV overhead insulatings rate, 10kV switch oil-free rates；Correspondence operation ring
The Internet index in border has installed capacity, different type installed capacity accounting, Analyzing Total Electricity Consumption, system to adjust peak load, power transformation
Land resource of standing nargin, line corridor land resource nargin, renewable energy power generation amount accounting, carbon emission nargin.
3. power network development ability integration diagnosis index system construction method as claimed in claim 1, it is characterised in that described
Indices weights omega is calculated based on analytic network processi, specifically include：
(1) foundation of judgment matrix and ordering vector
If key-course has n element B in power network development diagnosis index system1, B2..., Bn, i.e. the criterion of relative target.Internet
There is n element set C1, C2..., Cn, CiIn have elementCjThere is member
Plain ejk(k=1,2 ..., nj), the Judgement Matricies first under control criterion, according to element set CjIn element ejkInfluence
Degree is compared two-by-two, then tries to achieve ordering vector according to eigenvalue methodIf this feature is vectorial
Matrix form can then be write as by consistency check, you can obtain partial weight vector matrix：
<mrow>
<msub>
<mi>W</mi>
<mrow>
<mi>i</mi>
<mi>j</mi>
</mrow>
</msub>
<mo>=</mo>
<mfenced open = "[" close = "]">
<mtable>
<mtr>
<mtd>
<msubsup>
<mi>w</mi>
<mrow>
<mi>i</mi>
<mn>1</mn>
</mrow>
<mrow>
<mo>(</mo>
<mi>j</mi>
<mn>1</mn>
<mo>)</mo>
</mrow>
</msubsup>
</mtd>
<mtd>
<msubsup>
<mi>w</mi>
<mrow>
<mi>i</mi>
<mn>1</mn>
</mrow>
<mrow>
<mo>(</mo>
<mi>j</mi>
<mn>2</mn>
<mo>)</mo>
</mrow>
</msubsup>
</mtd>
<mtd>
<mn>...</mn>
</mtd>
<mtd>
<msubsup>
<mi>w</mi>
<mrow>
<mi>i</mi>
<mn>1</mn>
</mrow>
<mrow>
<mo>(</mo>
<msub>
<mi>jn</mi>
<mi>j</mi>
</msub>
<mo>)</mo>
</mrow>
</msubsup>
</mtd>
</mtr>
<mtr>
<mtd>
<msubsup>
<mi>w</mi>
<mrow>
<mi>i</mi>
<mn>2</mn>
</mrow>
<mrow>
<mo>(</mo>
<mi>j</mi>
<mn>1</mn>
<mo>)</mo>
</mrow>
</msubsup>
</mtd>
<mtd>
<msubsup>
<mi>w</mi>
<mrow>
<mi>i</mi>
<mn>2</mn>
</mrow>
<mrow>
<mo>(</mo>
<mi>j</mi>
<mn>2</mn>
<mo>)</mo>
</mrow>
</msubsup>
</mtd>
<mtd>
<mn>...</mn>
</mtd>
<mtd>
<msubsup>
<mi>w</mi>
<mrow>
<mi>i</mi>
<mn>2</mn>
</mrow>
<mrow>
<mo>(</mo>
<msub>
<mi>jn</mi>
<mi>j</mi>
</msub>
<mo>)</mo>
</mrow>
</msubsup>
</mtd>
</mtr>
<mtr>
<mtd>
<mo>.</mo>
</mtd>
<mtd>
<mo>.</mo>
</mtd>
<mtd>
<mo>.</mo>
</mtd>
<mtd>
<mo>.</mo>
</mtd>
</mtr>
<mtr>
<mtd>
<mo>.</mo>
</mtd>
<mtd>
<mo>.</mo>
</mtd>
<mtd>
<mo>.</mo>
</mtd>
<mtd>
<mo>.</mo>
</mtd>
</mtr>
<mtr>
<mtd>
<mo>.</mo>
</mtd>
<mtd>
<mo>.</mo>
</mtd>
<mtd>
<mo>.</mo>
</mtd>
<mtd>
<mo>.</mo>
</mtd>
</mtr>
<mtr>
<mtd>
<msubsup>
<mi>w</mi>
<mrow>
<msub>
<mi>in</mi>
<mi>i</mi>
</msub>
</mrow>
<mrow>
<mo>(</mo>
<mi>j</mi>
<mn>1</mn>
<mo>)</mo>
</mrow>
</msubsup>
</mtd>
<mtd>
<msubsup>
<mi>w</mi>
<mrow>
<msub>
<mi>in</mi>
<mi>i</mi>
</msub>
</mrow>
<mrow>
<mo>(</mo>
<mi>j</mi>
<mn>2</mn>
<mo>)</mo>
</mrow>
</msubsup>
</mtd>
<mtd>
<mn>...</mn>
</mtd>
<mtd>
<msubsup>
<mi>w</mi>
<mrow>
<msub>
<mi>in</mi>
<mi>i</mi>
</msub>
</mrow>
<mrow>
<mo>(</mo>
<msub>
<mi>jn</mi>
<mi>j</mi>
</msub>
<mo>)</mo>
</mrow>
</msubsup>
</mtd>
</mtr>
</mtable>
</mfenced>
</mrow>
If CjIn element not by CiMiddle element influences, then Wij=0；
(2) foundation of hypermatrix
Similarly, the internal and external relation of other elements collection element is compared successively, can obtain the mutual shadow of each element in Internet
Loud ordering vector constitute without weight hypermatrix W：
<mrow>
<mi>W</mi>
<mo>=</mo>
<mfenced open = "[" close = "]">
<mtable>
<mtr>
<mtd>
<msub>
<mi>W</mi>
<mn>11</mn>
</msub>
</mtd>
<mtd>
<msub>
<mi>W</mi>
<mn>12</mn>
</msub>
</mtd>
<mtd>
<mo>...</mo>
</mtd>
<mtd>
<msub>
<mi>W</mi>
<mrow>
<mn>1</mn>
<mi>N</mi>
</mrow>
</msub>
</mtd>
</mtr>
<mtr>
<mtd>
<msub>
<mi>W</mi>
<mn>21</mn>
</msub>
</mtd>
<mtd>
<msub>
<mi>W</mi>
<mn>22</mn>
</msub>
</mtd>
<mtd>
<mo>...</mo>
</mtd>
<mtd>
<msub>
<mi>W</mi>
<mrow>
<mn>2</mn>
<mi>N</mi>
</mrow>
</msub>
</mtd>
</mtr>
<mtr>
<mtd>
<mo>...</mo>
</mtd>
<mtd>
<mo>...</mo>
</mtd>
<mtd>
<mo>...</mo>
</mtd>
<mtd>
<mo>...</mo>
</mtd>
</mtr>
<mtr>
<mtd>
<msub>
<mi>W</mi>
<mrow>
<mi>N</mi>
<mn>1</mn>
</mrow>
</msub>
</mtd>
<mtd>
<msub>
<mi>W</mi>
<mrow>
<mi>N</mi>
<mn>1</mn>
</mrow>
</msub>
</mtd>
<mtd>
<mo>...</mo>
</mtd>
<mtd>
<msub>
<mi>W</mi>
<mrow>
<mi>N</mi>
<mi>N</mi>
</mrow>
</msub>
</mtd>
</mtr>
</mtable>
</mfenced>
</mrow>
W each element is matrix, arranges and is 1, but W is not normalization matrix, need to be by hypermatrix row normalizing for convenience of calculating
Change, i.e., W element is weighted, obtain weighting hypermatrix；
(3) calculating of hypermatrix is weighted
In key-course BnUnder criterion, according to Internet each group element to Cj(j=1,2 ..., significance level n) is compared, and is obtained
To normalized ordering vector：
Hj=[h1j..., hnj]T
And then weighting matrix can be obtained：
<mrow>
<mi>H</mi>
<mo>=</mo>
<mfenced open = "[" close = "]">
<mtable>
<mtr>
<mtd>
<msub>
<mi>h</mi>
<mn>11</mn>
</msub>
</mtd>
<mtd>
<mo>...</mo>
</mtd>
<mtd>
<msub>
<mi>h</mi>
<mrow>
<mn>1</mn>
<mi>j</mi>
</mrow>
</msub>
</mtd>
</mtr>
<mtr>
<mtd>
<mo>...</mo>
</mtd>
<mtd>
<mo>...</mo>
</mtd>
<mtd>
<mo>...</mo>
</mtd>
</mtr>
<mtr>
<mtd>
<msub>
<mi>h</mi>
<mrow>
<mi>n</mi>
<mn>1</mn>
</mrow>
</msub>
</mtd>
<mtd>
<mo>...</mo>
</mtd>
<mtd>
<msub>
<mi>h</mi>
<mrow>
<mi>n</mi>
<mi>n</mi>
</mrow>
</msub>
</mtd>
</mtr>
</mtable>
</mfenced>
</mrow>
Matrix H is multiplied with W Ji Wei weighting hypermatrix
(4) hypermatrix W is stable is handled
Calculate the limit relative order vector of each hypermatrix：
<mrow>
<msup>
<mi>W</mi>
<mi>&infin;</mi>
</msup>
<mo>=</mo>
<munder>
<mi>lim</mi>
<mrow>
<mi>k</mi>
<mo>&RightArrow;</mo>
<mi>&infin;</mi>
</mrow>
</munder>
<mrow>
<mo>(</mo>
<mn>1</mn>
<mo>/</mo>
<mi>N</mi>
<mo>)</mo>
</mrow>
<munderover>
<mo>&Sigma;</mo>
<mrow>
<mi>k</mi>
<mo>=</mo>
<mn>1</mn>
</mrow>
<mi>N</mi>
</munderover>
<msup>
<mover>
<mi>W</mi>
<mo>&OverBar;</mo>
</mover>
<mi>k</mi>
</msup>
</mrow>
If the limit restrains and unique, the value of original matrix correspondence row is the weight of each index, by can be calculated each index
Weighted value ωi。
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710347283.0A CN107085648A (en) | 2017-05-17 | 2017-05-17 | A kind of power network development ability integration diagnosis index system construction method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710347283.0A CN107085648A (en) | 2017-05-17 | 2017-05-17 | A kind of power network development ability integration diagnosis index system construction method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107085648A true CN107085648A (en) | 2017-08-22 |
Family
ID=59608228
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710347283.0A Pending CN107085648A (en) | 2017-05-17 | 2017-05-17 | A kind of power network development ability integration diagnosis index system construction method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN107085648A (en) |
Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107767067A (en) * | 2017-10-31 | 2018-03-06 | 国网福建省电力有限公司 | Power distribution network management and running evaluation index system construction method based on big data |
| CN108764685A (en) * | 2018-05-21 | 2018-11-06 | 北京交通大学 | The operating service quality evaluating method of rail traffic train control system |
| CN108876094A (en) * | 2018-04-26 | 2018-11-23 | 国网浙江省电力有限公司经济技术研究院 | A kind of operation of power networks integrated evaluating method of clean energy resource access |
| CN109034653A (en) * | 2018-08-16 | 2018-12-18 | 广东电网有限责任公司 | A kind of power source planning schemes synthesis evaluation method |
| CN110147962A (en) * | 2019-05-23 | 2019-08-20 | 国网上海市电力公司经济技术研究院 | Power network development path generating method based on space and time difference |
| CN110347972A (en) * | 2019-06-13 | 2019-10-18 | 西安交通大学 | The weight sets of electromechanical special safety equipment assessment indicator system combines quantization method |
| CN111815190A (en) * | 2020-07-15 | 2020-10-23 | 国网能源研究院有限公司 | Power grid development diagnosis analysis method and system based on multivariate information deep mining |
| CN112215516A (en) * | 2020-10-23 | 2021-01-12 | 国网山东省电力公司信息通信公司 | Quality evaluation feedback method for power information system |
| US11663078B1 (en) | 2020-10-15 | 2023-05-30 | Ethernovia Inc. | In-service scanning and correction of stored data for achieving functional safety |
| CN116451643A (en) * | 2023-06-12 | 2023-07-18 | 北京智芯仿真科技有限公司 | Method and system for integrated circuit power supply network diagnosis and positioning |
| US11803180B2 (en) | 2020-10-15 | 2023-10-31 | Ethernovia Inc. | Determining diagnostic coverage for achieving functional safety |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102521652A (en) * | 2012-01-10 | 2012-06-27 | 武汉大学 | Evaluation and decision method for operation efficiency of power grid |
| US20130111403A1 (en) * | 2011-10-28 | 2013-05-02 | Denso Corporation | In-vehicle display apparatus |
-
2017
- 2017-05-17 CN CN201710347283.0A patent/CN107085648A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130111403A1 (en) * | 2011-10-28 | 2013-05-02 | Denso Corporation | In-vehicle display apparatus |
| CN102521652A (en) * | 2012-01-10 | 2012-06-27 | 武汉大学 | Evaluation and decision method for operation efficiency of power grid |
Non-Patent Citations (1)
| Title |
|---|
| 李金超等: "基于ANP的电网企业运营能力评价模式研究", 《电力系统保护与控制》 * |
Cited By (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107767067A (en) * | 2017-10-31 | 2018-03-06 | 国网福建省电力有限公司 | Power distribution network management and running evaluation index system construction method based on big data |
| CN108876094A (en) * | 2018-04-26 | 2018-11-23 | 国网浙江省电力有限公司经济技术研究院 | A kind of operation of power networks integrated evaluating method of clean energy resource access |
| CN108764685A (en) * | 2018-05-21 | 2018-11-06 | 北京交通大学 | The operating service quality evaluating method of rail traffic train control system |
| CN109034653B (en) * | 2018-08-16 | 2022-02-15 | 广东电网有限责任公司 | Comprehensive evaluation method for power supply planning scheme |
| CN109034653A (en) * | 2018-08-16 | 2018-12-18 | 广东电网有限责任公司 | A kind of power source planning schemes synthesis evaluation method |
| CN110147962A (en) * | 2019-05-23 | 2019-08-20 | 国网上海市电力公司经济技术研究院 | Power network development path generating method based on space and time difference |
| CN110347972A (en) * | 2019-06-13 | 2019-10-18 | 西安交通大学 | The weight sets of electromechanical special safety equipment assessment indicator system combines quantization method |
| CN111815190A (en) * | 2020-07-15 | 2020-10-23 | 国网能源研究院有限公司 | Power grid development diagnosis analysis method and system based on multivariate information deep mining |
| US11663078B1 (en) | 2020-10-15 | 2023-05-30 | Ethernovia Inc. | In-service scanning and correction of stored data for achieving functional safety |
| US11681596B1 (en) | 2020-10-15 | 2023-06-20 | Ethernovia Inc. | Redundant segment for efficient in-service testing |
| US11734966B1 (en) * | 2020-10-15 | 2023-08-22 | Ethernovia Inc. | Recursive system layer analysis for achieving functional safety |
| US11803180B2 (en) | 2020-10-15 | 2023-10-31 | Ethernovia Inc. | Determining diagnostic coverage for achieving functional safety |
| CN112215516A (en) * | 2020-10-23 | 2021-01-12 | 国网山东省电力公司信息通信公司 | Quality evaluation feedback method for power information system |
| CN112215516B (en) * | 2020-10-23 | 2022-06-03 | 国网山东省电力公司信息通信公司 | Quality evaluation feedback method for power information system |
| CN116451643A (en) * | 2023-06-12 | 2023-07-18 | 北京智芯仿真科技有限公司 | Method and system for integrated circuit power supply network diagnosis and positioning |
| CN116451643B (en) * | 2023-06-12 | 2023-08-25 | 北京智芯仿真科技有限公司 | Method and system for integrated circuit power supply network diagnosis and positioning |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107085648A (en) | A kind of power network development ability integration diagnosis index system construction method | |
| Coll-Mayor et al. | Future intelligent power grids: Analysis of the vision in the European Union and the United States | |
| CN103577901B (en) | Method of intertidal zone wind power for accessing power grid | |
| CN109583767B (en) | Gridding overall planning method for power distribution network | |
| CN106127377A (en) | A kind of intelligent grid multiple-energy-source comprehensive coordination level evaluation method | |
| CN112487659B (en) | Optimal design method and system for offshore wind farm current collection system | |
| CN102609792B (en) | A kind of extra-high voltage alternating current-direct current power transmission mode is suitable for system of selection and device thereof | |
| CN106503839A (en) | A kind of marine wind electric field annular current collection network hierarchy planing method | |
| CN107908638A (en) | The operation of power networks efficiency rating method and system matched somebody with somebody are excavated based on big data | |
| CN103236023B (en) | A kind of acquisition methods of the AC-HVDC scope of application | |
| CN102063563A (en) | Network-province-local integrative bus load predicting method | |
| CN108520330A (en) | A kind of probabilistic power distribution network medium-voltage line differentiation planing method of consideration load prediction error | |
| CN108197820A (en) | It is a kind of to be associated with based on DS evidences with the distribution network reliability of variable-weight theory and evaluation model and its method for building up | |
| CN104504280B (en) | Electric automobile charging pile cluster management system communication mode integrated evaluating method | |
| CN103093104A (en) | Calculating method of utilization rate of electric transmission line based on probability load flow | |
| CN108520362A (en) | A kind of integrated evaluating method of rural area intelligent grid level | |
| CN107453381A (en) | Electric automobile cluster power regulating method and system based on two benches cross-over control | |
| CN107169655A (en) | A kind of method and device of preferred power distribution network project compatibility | |
| CN112886580A (en) | User branch-based platform area topology identification method and system | |
| CN113376566A (en) | Online monitoring method for metering misalignment of whole network | |
| CN114066315A (en) | Power distribution network planning system suitable for multi-source load access | |
| CN106295106A (en) | A kind of photovoltaic plant reactive power support capability assessment method | |
| CN109272656A (en) | A kind of energy storage electric power storage mobile charging stake system and operation method based on multi-energy complementary micro-grid | |
| CN110414836A (en) | Consider the probabilistic substation's probability plan method of comprehensive energy station power demand | |
| CN110245819A (en) | A kind of energy efficiency evaluating method of multiple-energy-source interacted system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20170822 |